diff --git a/.gitignore b/.gitignore index ed7b6b0..df040a3 100644 --- a/.gitignore +++ b/.gitignore @@ -54,6 +54,7 @@ __pycache__* ######## data/ examples/ +results/ *.npy *.h5 *.fits @@ -62,3 +63,8 @@ examples/ # Notebook # ############ *.ipynb_checkpoints* + +########## +# Others # +########## +sync.sh diff --git a/notebooks/0_nonreg.ipynb b/notebooks/0_nonreg.ipynb index f08f22c..ac5f613 100644 --- a/notebooks/0_nonreg.ipynb +++ b/notebooks/0_nonreg.ipynb @@ -29,7 +29,8 @@ "metadata": {}, "outputs": [], "source": [ - "from wip3m.params import *" + "# pyright: reportWildcardImportFromLibrary=false\n", + "from wip3m import *" ] }, { @@ -110,7 +111,7 @@ "\n", "from wip3m.tools import get_k_max, generate_sim_params, generate_white_noise_Field\n", "from wip3m.params import params_planck_kmax_missing, cosmo_small_to_full_dict, z2a, BASELINE_SEEDPHASE\n", - "from wip3m.plot_utils import *" + "from wip3m.plot_utils import * # type: ignore" ] }, { @@ -137,6 +138,11 @@ "cosmo = params_planck_kmax_missing.copy()\n", "cosmo[\"k_max\"] = k_max\n", "\n", + "TimeStepDistribution_pm = 0\n", + "TimeStepDistribution_cola = 0\n", + "TimeStepDistribution_spm = 0\n", + "TimeStepDistribution_p3m = 0\n", + "\n", "wd = workdir + run_id + \"/\"\n", "simdir = output_path + run_id + \"/\"\n", "logdir = simdir + \"logs/\"\n", @@ -211,7 +217,7 @@ "\n", "pm_params = common_params.copy()\n", "pm_params[\"method\"] = \"pm\"\n", - "pm_params[\"TimeStepDistribution\"] = 0\n", + "pm_params[\"TimeStepDistribution\"] = TimeStepDistribution_pm\n", "pm_params[\"ai\"] = ai\n", "pm_params[\"af\"] = af\n", "pm_params[\"RedshiftLPT\"] = RedshiftLPT\n", @@ -226,7 +232,7 @@ "\n", "cola_params = common_params.copy()\n", "cola_params[\"method\"] = \"cola\"\n", - "cola_params[\"TimeStepDistribution\"] = 0\n", + "cola_params[\"TimeStepDistribution\"] = TimeStepDistribution_cola\n", "cola_params[\"ai\"] = ai\n", "cola_params[\"af\"] = af\n", "cola_params[\"RedshiftLPT\"] = RedshiftLPT\n", @@ -243,7 +249,7 @@ "spm_params = common_params.copy()\n", "spm_params[\"method\"] = \"spm\"\n", "spm_params[\"EvolutionMode\"] = 5\n", - "spm_params[\"TimeStepDistribution\"] = 0\n", + "spm_params[\"TimeStepDistribution\"] = TimeStepDistribution_spm\n", "spm_params[\"ai\"] = ai\n", "spm_params[\"af\"] = af\n", "spm_params[\"RedshiftLPT\"] = RedshiftLPT\n", @@ -260,7 +266,7 @@ "p3m_params = common_params.copy()\n", "p3m_params[\"method\"] = \"p3m\"\n", "p3m_params[\"EvolutionMode\"] = 4\n", - "p3m_params[\"TimeStepDistribution\"] = 0\n", + "p3m_params[\"TimeStepDistribution\"] = TimeStepDistribution_p3m\n", "p3m_params[\"ai\"] = ai\n", "p3m_params[\"af\"] = af\n", "p3m_params[\"RedshiftLPT\"] = RedshiftLPT\n", @@ -284,50 +290,50 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:15:43|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy'...\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy' done.\n", - "[17:15:43|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy\n", + "[14:42:20|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy'...\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy' done.\n", + "[14:42:20|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/example_lpt.sbmy\n", "PM nsteps = 50:\n", - "[17:15:43|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5'...\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5' done.\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5'...\n", - "[17:15:43|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy\n", + "[14:42:20|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5'...\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5' done.\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5'...\n", + "[14:42:20|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_pm.h5' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_pm.sbmy\n", "COLA nsteps = 20:\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5' done.\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5' done.\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_ts_cola.h5' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps20_example_cola.sbmy\n", "SPM nsteps = 50:\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5' done.\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy' done.\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5' done.\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_spm.h5' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy' done.\n", + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_spm.sbmy\n", "P3M nsteps = 50:\n", - "[17:15:44|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5' done.\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5'...\n", - "[17:15:44|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5' done.\n", - "[17:15:45|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy'...\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy' done.\n", - "[17:15:45|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy\n" + "[14:42:21|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5' done.\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5'...\n", + "[14:42:21|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_ts_p3m.h5' done.\n", + "[14:42:22|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy'...\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy' done.\n", + "[14:42:22|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/run13/nsteps50_example_p3m.sbmy\n" ] }, { @@ -440,21 +446,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", - "[17:15:45\u001b[00m|[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/run13/input_power.h5'...\n", - "\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum...\n", - "[17:15:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum done.\n", - "[17:15:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum...\n", - "[17:15:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum done.\n", - "[17:15:45|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16, L1=16, L2=16\u001b[00m\n", - "[17:15:45|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=464\u001b[00m\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/run13/input_power.h5' done.\n" + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", + "[14:42:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum...\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/run13/input_power.h5'...\n", + "[14:42:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum done.\n", + "[14:42:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum...\n", + "[14:42:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum done.\n", + "[14:42:22|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16, L1=16, L2=16\u001b[00m\n", + "[14:42:22|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=464\u001b[00m\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/run13/input_power.h5' done.\n" ] } ], "source": [ - "# If cosmo[\"WhichSpectrum\"] == \"class\", then the module classy is required.\n", + "# If cosmo[\"WhichSpectrum\"] == \"class\", then classy is required.\n", "if not isfile(input_power_file) or force:\n", " Pk = PowerSpectrum(L, L, L, N, N, N, cosmo_small_to_full_dict(cosmo))\n", " Pk.write(input_power_file)" @@ -469,12 +475,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5'...\n", - "[17:15:45|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16, L1=16, L2=16\u001b[00m\n", - "[17:15:45|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=40\u001b[00m\n", - "[17:15:45|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5' done.\n" + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5'...\n", + "[14:42:22|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16, L1=16, L2=16\u001b[00m\n", + "[14:42:22|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=40\u001b[00m\n", + "[14:42:22|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5' done.\n" ] } ], @@ -585,21 +591,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5'...\n", - "[17:16:31|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5' done.\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5'...\n", - "[17:16:31|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5' done.\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5'...\n", - "[17:16:31|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5' done.\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5'...\n", - "[17:16:31|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5' done.\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5'...\n", - "[17:16:31|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:31|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5' done.\n" + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5'...\n", + "[14:43:07|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5' done.\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5'...\n", + "[14:43:07|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5' done.\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5'...\n", + "[14:43:07|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5' done.\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5'...\n", + "[14:43:07|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5' done.\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5'...\n", + "[14:43:07|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5' done.\n" ] } ], @@ -624,8 +630,8 @@ "output_type": "stream", "text": [ "max(DELTA_PM) = 70.734375, min(DELTA_PM) = -1.0\n", - "max(DELTA_P3M) = 64.60250091552734, min(DELTA_P3M) = -1.0\n", - "max(diff) = 3.7952804565429688, min(diff) = -14.139030456542969\n" + "max(DELTA_P3M) = 69.35508728027344, min(DELTA_P3M) = -1.0\n", + "max(diff) = 3.0339012145996094, min(diff) = -12.64963150024414\n" ] } ], @@ -642,7 +648,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -769,40 +775,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5'...\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16.0, L1=16.0, L2=16.0\u001b[00m\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=40\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5' done.\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/initial_density.h5'...\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/initial_density.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5'...\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5'...\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=16.0, L1=16.0, L2=16.0\u001b[00m\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=40\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/run13/input_ss_k_grid.h5' done.\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/initial_density.h5'...\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/initial_density.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09\u001b[00m|[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5'...\n", + "\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5'...\n", "]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/lpt_density.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5'...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5'...\n", - "Getting auto-correlation in Fourier space (using 8 cores) done.\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113m[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5'...\n", - "STATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5'...\n", - "[17:16:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:16:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5' done.\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", - "[17:16:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n" + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_pm.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5'...\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps20_final_density_cola.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5'...\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_spm.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5'...\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[14:43:09|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.float64(-8.0), np.float64(8.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[14:43:09|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/run13/nsteps50_final_density_p3m.h5' done.\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[14:43:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n" ] } ], @@ -856,7 +862,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -988,7 +994,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] diff --git a/notebooks/1_force_diagnostic.ipynb b/notebooks/1_force_diagnostic.ipynb index c745326..ef50800 100644 --- a/notebooks/1_force_diagnostic.ipynb +++ b/notebooks/1_force_diagnostic.ipynb @@ -33,7 +33,8 @@ "metadata": {}, "outputs": [], "source": [ - "from wip3m.params import *" + "# pyright: reportWildcardImportFromLibrary=false\n", + "from wip3m import *" ] }, { @@ -56,7 +57,7 @@ "\n", "force = True\n", "force_hard = True\n", - "run_id = \"forcediag7\"\n", + "run_id = \"forcediag8\"\n", "\n", "# Good set of parameters for the force diagnostic\n", "# nPairsForceDiagnostic_spm = nPairsForceDiagnostic_p3m = 3\n", @@ -77,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "28a4e070", "metadata": {}, "outputs": [], @@ -90,17 +91,18 @@ "from pathlib import Path\n", "import numpy as np\n", "\n", + "from pysbmy import pySbmy\n", "from pysbmy.power import PowerSpectrum\n", "from pysbmy.field import read_field\n", "\n", "from wip3m.tools import get_k_max, generate_sim_params, generate_white_noise_Field\n", "from wip3m.params import params_planck_kmax_missing, cosmo_small_to_full_dict, z2a, BASELINE_SEEDPHASE\n", - "from wip3m.plot_utils import *" + "from wip3m.plot_utils import * # type: ignore" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "3f0eaa51", "metadata": {}, "outputs": [ @@ -238,30 +240,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:03:15|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/example_lpt.sbmy'...\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/example_lpt.sbmy' done.\n", - "[17:03:15|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/example_lpt.sbmy\n", + "[17:40:12|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy'...\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy' done.\n", + "[17:40:12|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy\n", "SPM nsteps = 20:\n", - "[17:03:15|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_spm.h5\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_spm.h5'...\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_spm.h5' done.\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_spm.h5'...\n", - "[17:03:15|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_spm.h5' done.\n", - "[17:03:16|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_spm.sbmy'...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_spm.sbmy' done.\n", - "[17:03:16|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_spm.sbmy\n", + "[17:40:12|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5'...\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5' done.\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5'...\n", + "[17:40:12|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5' done.\n", + "[17:40:13|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy'...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy' done.\n", + "[17:40:13|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy\n", "P3M nsteps = 20:\n", - "[17:03:16|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_p3m.h5\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_p3m.h5'...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_p3m.h5' done.\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_p3m.h5'...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_ts_p3m.h5' done.\n", - "[17:03:16|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_p3m.sbmy'...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_p3m.sbmy' done.\n", - "[17:03:16|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag7/nsteps20_example_p3m.sbmy\n" + "[17:40:13|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5'...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5' done.\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5'...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5' done.\n", + "[17:40:13|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy'...\n", + "[17:40:13|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy' done.\n", + "[17:40:13|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy\n" ] }, { @@ -347,16 +349,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", - "[17:03:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m][17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/forcediag7/input_power.h5'...\n", - "|Computing normalization of the power spectrum...\n", - "[17:03:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum done.\n", - "[17:03:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum...\n", - "[17:03:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum done.\n", - "[17:03:16|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=64, L1=64, L2=64\u001b[00m\n", - "[17:03:16|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=464\u001b[00m\n", - "[17:03:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/forcediag7/input_power.h5' done.\n" + "[17:40:16|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", + "[17:40:16|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", + "[17:40:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum...\n", + "[17:40:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum done.\n", + "[17:40:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum...\n", + "[17:40:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum done.\n", + "[17:40:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/forcediag8/input_power.h5'...\n", + "[17:40:16|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=64, L1=64, L2=64\u001b[00m\n", + "[17:40:16|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=32, N1=32, N2=32, N2_HC=17, N_HC=17408, NUM_MODES=464\u001b[00m\n", + "[17:40:16|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/forcediag8/input_power.h5' done.\n" ] } ], @@ -379,23 +381,1615 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "6f714f19", + "execution_count": null, + "id": "9a1ac822", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[17:40:21\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy /Users/hoellinger/WIP3M/forcediag8/logs/lpt.txt\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-20 17:40:21: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/example_lpt.sbmy' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/input_white_noise.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/input_white_noise.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading power spectrum...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Reading power spectrum in '/Users/hoellinger/WIP3M/forcediag8/input_power.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Reading power spectrum in '/Users/hoellinger/WIP3M/forcediag8/input_power.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading power spectrum done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Generating Gaussian random field (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Generating Gaussian random field (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.006 CPU - 0.011 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 0.043 CPU - 0.017 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Computing outputs...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/lpt_density.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/lpt_density.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/lpt_particles.gadget3'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/lpt_particles.gadget3' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/lpt_particles.gadget3' (32768 particles)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/lpt_particles.gadget3' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Computing outputs done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT output: 0.011 CPU - 0.004 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 0.061 CPU - 0.033 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 0.063 CPU - 0.035 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[17:40:21\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy /Users/hoellinger/WIP3M/forcediag8/logs/nsteps20_spm.txt\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:21\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-20 17:40:21: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_spm.sbmy' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 0.039 CPU - 0.013 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 0.040 CPU - 0.013 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5'...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_spm.h5' done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/forcediag8/force_diagnostic_spm.txt\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 1/20, time_kick:0.050000, time_drift=0.050000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 1/20, time_kick:0.073750, time_drift=0.097500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 2/20, time_kick:0.073750, time_drift=0.097500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 2/20, time_kick:0.121250, time_drift=0.145000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 3/20, time_kick:0.121250, time_drift=0.145000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 3/20, time_kick:0.168750, time_drift=0.192500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 4/20, time_kick:0.168750, time_drift=0.192500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 4/20, time_kick:0.216250, time_drift=0.240000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 5/20, time_kick:0.216250, time_drift=0.240000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 5/20, time_kick:0.263750, time_drift=0.287500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (long-range): 0.031 CPU - 0.011 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Total Evolution: 0.056 CPU - 0.018 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 6/20, time_kick:0.263750, time_drift=0.287500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 6/20, time_kick:0.311250, time_drift=0.335000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Density: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Potential: 0.007 CPU - 0.005 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (long-range): 0.030 CPU - 0.011 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Total Evolution: 0.050 CPU - 0.021 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 7/20, time_kick:0.311250, time_drift=0.335000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 7/20, time_kick:0.358750, time_drift=0.382500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 8/20, time_kick:0.358750, time_drift=0.382500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 8/20, time_kick:0.406250, time_drift=0.430000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 9/20, time_kick:0.406250, time_drift=0.430000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 9/20, time_kick:0.453750, time_drift=0.477500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 10/20, time_kick:0.453750, time_drift=0.477500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "HDF5-DIAG: Error detected in HDF5 (1.14.6):\n", + " #000: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5Adeprec.c line 202 in H5Aopen_name(): unable to open attribute\n", + " major: Attribute\n", + " minor: Can't open object\n", + " #001: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5VLcallback.c line 1125 in H5VL_attr_open(): attribute open failed\n", + " major: Virtual Object Layer\n", + " minor: Can't open object\n", + " #002: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5VLcallback.c line 1092 in H5VL__attr_open(): attribute open failed\n", + " major: Virtual Object Layer\n", + " minor: Can't open object\n", + " #003: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5VLnative_attr.c line 164 in H5VL__native_attr_open(): unable to open attribute: '/info/scalars/time'\n", + " major: Attribute\n", + " minor: Can't open object\n", + " #004: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5Aint.c line 514 in H5A__open(): unable to load attribute info from object header for attribute: '/info/scalars/time'\n", + " major: Attribute\n", + " minor: Can't open object\n", + " #005: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5Oattribute.c line 498 in H5O__attr_open_by_name(): can't locate attribute: '/info/scalars/time'\n", + " major: Attribute\n", + " minor: Object not found\n", + "HDF5-DIAG: Error detected in HDF5 (1.14.6):\n", + " #000: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5A.c line 1022 in H5Aread(): can't synchronously read data\n", + " major: Attribute\n", + " minor: Read failed\n", + " #001: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5A.c line 987 in H5A__read_api_common(): not an attribute\n", + " major: Invalid arguments to routine\n", + " minor: Inappropriate type\n", + " #002: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5VLint.c line 1786 in H5VL_vol_object_verify(): identifier is not of specified type\n", + " major: Invalid arguments to routine\n", + " minor: Inappropriate type\n", + "HDF5-DIAG: Error detected in HDF5 (1.14.6):\n", + " #000: /tmp/hdf5-20250207-38588-gjrv3m/hdf5-1.14.6/src/H5A.c line 2193 in H5Aclose(): not an attribute ID\n", + " major: Invalid arguments to routine\n", + " minor: Inappropriate type\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 10/20, time_kick:0.501250, time_drift=0.525000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Kick: 0.005 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Drift: 0.002 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Total Evolution: 0.060 CPU - 0.017 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 11/20, time_kick:0.501250, time_drift=0.525000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 11/20, time_kick:0.548750, time_drift=0.572500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Density: 0.011 CPU - 0.004 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (long-range): 0.032 CPU - 0.008 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Total Evolution: 0.056 CPU - 0.017 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 12/20, time_kick:0.548750, time_drift=0.572500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 12/20, time_kick:0.596250, time_drift=0.620000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Density: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (long-range): 0.030 CPU - 0.008 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Total Evolution: 0.053 CPU - 0.015 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 13/20, time_kick:0.596250, time_drift=0.620000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 13/20, time_kick:0.643750, time_drift=0.667500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Density: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (long-range): 0.028 CPU - 0.008 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Total Evolution: 0.051 CPU - 0.016 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 14/20, time_kick:0.643750, time_drift=0.667500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 14/20, time_kick:0.691250, time_drift=0.715000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 15/20, time_kick:0.691250, time_drift=0.715000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 15/20, time_kick:0.738750, time_drift=0.762500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 16/20, time_kick:0.738750, time_drift=0.762500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 16/20, time_kick:0.786250, time_drift=0.810000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 17/20, time_kick:0.786250, time_drift=0.810000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 17/20, time_kick:0.833750, time_drift=0.857500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (long-range): 0.029 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Total Evolution: 0.052 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 18/20, time_kick:0.833750, time_drift=0.857500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 18/20, time_kick:0.881250, time_drift=0.905000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 19/20, time_kick:0.881250, time_drift=0.905000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 19/20, time_kick:0.928750, time_drift=0.952500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (long-range): 0.029 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 20/20, time_kick:0.928750, time_drift=0.952500.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 20/20, time_kick:1.000000, time_drift=1.000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Density: 0.021 CPU - 0.007 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Potential: 0.013 CPU - 0.005 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (long-range): 0.061 CPU - 0.016 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Kick: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Total Evolution: 0.109 CPU - 0.032 wallclock seconds used.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Running force diagnostic for 3 random particle pairs per distance bin...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing total force on each particle (before removing any)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing total force on each particle (before removing any) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 18: [11.341, 19.050]. Total: 1 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 18: [11.341, 19.050] done. Total: 1 / max 60 pairs. Trials 0 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 19: [19.050, 32.000]. Total: 2 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 19: [19.050, 32.000] done. Total: 2 / max 60 pairs. Trials 2 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 18: [11.341, 19.050]. Total: 3 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 18: [11.341, 19.050] done. Total: 3 / max 60 pairs. Trials 3 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 19: [19.050, 32.000]. Total: 4 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 19: [19.050, 32.000] done. Total: 4 / max 60 pairs. Trials 4 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 18: [11.341, 19.050]. Total: 5 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 18: [11.341, 19.050] done. Total: 5 / max 60 pairs. Trials 5 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 19: [19.050, 32.000]. Total: 6 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 19: [19.050, 32.000] done. Total: 6 / max 60 pairs. Trials 6 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 15: [2.393, 4.019]. Total: 7 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 15: [2.393, 4.019] done. Total: 7 / max 60 pairs. Trials 25 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 17: [6.751, 11.341]. Total: 8 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 17: [6.751, 11.341] done. Total: 8 / max 60 pairs. Trials 39 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 17: [6.751, 11.341]. Total: 9 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 17: [6.751, 11.341] done. Total: 9 / max 60 pairs. Trials 100 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 17: [6.751, 11.341]. Total: 10 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 17: [6.751, 11.341] done. Total: 10 / max 60 pairs. Trials 138 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 16: [4.019, 6.751]. Total: 11 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 16: [4.019, 6.751] done. Total: 11 / max 60 pairs. Trials 149 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 16: [4.019, 6.751]. Total: 12 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 16: [4.019, 6.751] done. Total: 12 / max 60 pairs. Trials 189 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 16: [4.019, 6.751]. Total: 13 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 16: [4.019, 6.751] done. Total: 13 / max 60 pairs. Trials 237 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 14: [1.424, 2.393]. Total: 14 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 14: [1.424, 2.393] done. Total: 14 / max 60 pairs. Trials 258 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 15: [2.393, 4.019]. Total: 15 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 15: [2.393, 4.019] done. Total: 15 / max 60 pairs. Trials 755 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 13: [0.848, 1.424]. Total: 16 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 13: [0.848, 1.424] done. Total: 16 / max 60 pairs. Trials 997 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 14: [1.424, 2.393]. Total: 17 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 14: [1.424, 2.393] done. Total: 17 / max 60 pairs. Trials 1323 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 15: [2.393, 4.019]. Total: 18 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 15: [2.393, 4.019] done. Total: 18 / max 60 pairs. Trials 1403 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 12: [0.505, 0.848]. Total: 19 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 12: [0.505, 0.848] done. Total: 19 / max 60 pairs. Trials 3386 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 14: [1.424, 2.393]. Total: 20 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 14: [1.424, 2.393] done. Total: 20 / max 60 pairs. Trials 4393 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 12: [0.505, 0.848]. Total: 21 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 12: [0.505, 0.848] done. Total: 21 / max 60 pairs. Trials 11684 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 13: [0.848, 1.424]. Total: 22 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 13: [0.848, 1.424] done. Total: 22 / max 60 pairs. Trials 14546 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 12: [0.505, 0.848]. Total: 23 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 12: [0.505, 0.848] done. Total: 23 / max 60 pairs. Trials 16273 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 13: [0.848, 1.424]. Total: 24 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 13: [0.848, 1.424] done. Total: 24 / max 60 pairs. Trials 19032 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 10: [0.179, 0.300]. Total: 25 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 10: [0.179, 0.300] done. Total: 25 / max 60 pairs. Trials 75794 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 11: [0.300, 0.505]. Total: 26 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 11: [0.300, 0.505] done. Total: 26 / max 60 pairs. Trials 88546 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 11: [0.300, 0.505]. Total: 27 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 11: [0.300, 0.505] done. Total: 27 / max 60 pairs. Trials 96044 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 11: [0.300, 0.505]. Total: 28 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 11: [0.300, 0.505] done. Total: 28 / max 60 pairs. Trials 260936 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 9: [0.106, 0.179]. Total: 29 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 9: [0.106, 0.179] done. Total: 29 / max 60 pairs. Trials 376024 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 9: [0.106, 0.179]. Total: 30 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 9: [0.106, 0.179] done. Total: 30 / max 60 pairs. Trials 445798 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 10: [0.179, 0.300]. Total: 31 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 10: [0.179, 0.300] done. Total: 31 / max 60 pairs. Trials 446516 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 10: [0.179, 0.300]. Total: 32 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 10: [0.179, 0.300] done. Total: 32 / max 60 pairs. Trials 561696 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 9: [0.106, 0.179]. Total: 33 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 9: [0.106, 0.179] done. Total: 33 / max 60 pairs. Trials 2942393 / max 100000000.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 8: [0.063, 0.106]. Total: 34 / max 60 pairs...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 8: [0.063, 0.106] done. Total: 34 / max 60 pairs. Trials 4175101 / max 100000000.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 8: [0.063, 0.106]. Total: 35 / max 60 pairs...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 8: [0.063, 0.106] done. Total: 35 / max 60 pairs. Trials 6361125 / max 100000000.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 5: [0.013, 0.022]. Total: 36 / max 60 pairs...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 5: [0.013, 0.022] done. Total: 36 / max 60 pairs. Trials 10042996 / max 100000000.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 8: [0.063, 0.106]. Total: 37 / max 60 pairs...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 8: [0.063, 0.106] done. Total: 37 / max 60 pairs. Trials 23333431 / max 100000000.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 7: [0.038, 0.063]. Total: 38 / max 60 pairs...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 7: [0.038, 0.063] done. Total: 38 / max 60 pairs. Trials 26214327 / max 100000000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Running force diagnostic done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 0.267 CPU - 0.062 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.140 CPU - 0.052 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 0.648 CPU - 0.155 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 0.003 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.114 CPU - 0.029 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.026 CPU - 0.013 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 6.346 CPU - 4.787 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 7.544 CPU - 5.098 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_spm.h5'...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_spm.h5' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_spm_snapshot.gadget3'...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_spm_snapshot.gadget3' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_spm_snapshot.gadget3' (32768 particles)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_spm_snapshot.gadget3' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.020 CPU - 0.005 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 7.574 CPU - 5.109 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 7.614 CPU - 5.123 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[17:40:26\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy /Users/hoellinger/WIP3M/forcediag8/logs/nsteps20_p3m.txt\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[17:40:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-20 17:40:26: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy'...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_example_p3m.sbmy' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5'...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/forcediag8/initial_density.h5' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 0.041 CPU - 0.013 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 0.042 CPU - 0.013 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5'...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/forcediag8/nsteps20_ts_p3m.h5' done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/forcediag8/force_diagnostic_p3m.txt\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 1/20, time_kick:0.050000, time_drift=0.050000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 1/20, time_kick:0.073750, time_drift=0.097500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (short-range): 0.262 CPU - 0.036 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Total Evolution: 0.322 CPU - 0.049 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 2/20, time_kick:0.073750, time_drift=0.097500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 2/20, time_kick:0.121250, time_drift=0.145000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (short-range): 0.271 CPU - 0.039 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Total Evolution: 0.334 CPU - 0.052 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 3/20, time_kick:0.121250, time_drift=0.145000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 3/20, time_kick:0.168750, time_drift=0.192500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (short-range): 0.267 CPU - 0.037 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Total Evolution: 0.332 CPU - 0.051 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 4/20, time_kick:0.168750, time_drift=0.192500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 4/20, time_kick:0.216250, time_drift=0.240000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (short-range): 0.272 CPU - 0.038 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Total Evolution: 0.338 CPU - 0.051 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 5/20, time_kick:0.216250, time_drift=0.240000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 5/20, time_kick:0.263750, time_drift=0.287500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (short-range): 0.266 CPU - 0.040 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Total Evolution: 0.329 CPU - 0.055 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 6/20, time_kick:0.263750, time_drift=0.287500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 6/20, time_kick:0.311250, time_drift=0.335000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (short-range): 0.269 CPU - 0.043 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Total Evolution: 0.328 CPU - 0.057 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 7/20, time_kick:0.311250, time_drift=0.335000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 7/20, time_kick:0.358750, time_drift=0.382500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (short-range): 0.284 CPU - 0.040 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Total Evolution: 0.340 CPU - 0.053 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 8/20, time_kick:0.358750, time_drift=0.382500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 8/20, time_kick:0.406250, time_drift=0.430000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (short-range): 0.263 CPU - 0.049 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Total Evolution: 0.329 CPU - 0.064 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 9/20, time_kick:0.406250, time_drift=0.430000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 9/20, time_kick:0.453750, time_drift=0.477500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (short-range): 0.294 CPU - 0.042 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Total Evolution: 0.358 CPU - 0.056 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 10/20, time_kick:0.453750, time_drift=0.477500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 10/20, time_kick:0.501250, time_drift=0.525000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (long-range): 0.028 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (short-range): 0.297 CPU - 0.045 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Kick: 0.005 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Total Evolution: 0.357 CPU - 0.059 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 11/20, time_kick:0.501250, time_drift=0.525000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 11/20, time_kick:0.548750, time_drift=0.572500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (short-range): 0.271 CPU - 0.052 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Total Evolution: 0.327 CPU - 0.066 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 12/20, time_kick:0.548750, time_drift=0.572500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 12/20, time_kick:0.596250, time_drift=0.620000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (short-range): 0.314 CPU - 0.052 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Total Evolution: 0.374 CPU - 0.066 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 13/20, time_kick:0.596250, time_drift=0.620000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 13/20, time_kick:0.643750, time_drift=0.667500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (short-range): 0.325 CPU - 0.052 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Total Evolution: 0.387 CPU - 0.066 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 14/20, time_kick:0.643750, time_drift=0.667500.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 14/20, time_kick:0.691250, time_drift=0.715000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (short-range): 0.333 CPU - 0.050 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Total Evolution: 0.393 CPU - 0.063 wallclock seconds used.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 15/20, time_kick:0.691250, time_drift=0.715000.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 15/20, time_kick:0.738750, time_drift=0.762500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (short-range): 0.338 CPU - 0.057 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Total Evolution: 0.403 CPU - 0.070 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 16/20, time_kick:0.738750, time_drift=0.762500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 16/20, time_kick:0.786250, time_drift=0.810000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (short-range): 0.343 CPU - 0.054 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Total Evolution: 0.406 CPU - 0.068 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 17/20, time_kick:0.786250, time_drift=0.810000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 17/20, time_kick:0.833750, time_drift=0.857500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (short-range): 0.347 CPU - 0.058 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Total Evolution: 0.413 CPU - 0.072 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 18/20, time_kick:0.833750, time_drift=0.857500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 18/20, time_kick:0.881250, time_drift=0.905000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (short-range): 0.352 CPU - 0.058 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Total Evolution: 0.416 CPU - 0.072 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 19/20, time_kick:0.881250, time_drift=0.905000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 19/20, time_kick:0.928750, time_drift=0.952500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (short-range): 0.357 CPU - 0.066 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Total Evolution: 0.424 CPU - 0.080 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 20/20, time_kick:0.928750, time_drift=0.952500.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 20/20, time_kick:1.000000, time_drift=1.000000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Density: 0.038 CPU - 0.006 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Potential: 0.014 CPU - 0.005 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (long-range): 0.065 CPU - 0.013 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (short-range): 0.742 CPU - 0.130 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Total Evolution: 0.872 CPU - 0.157 wallclock seconds used.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Running force diagnostic for 3 random particle pairs per distance bin...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing total force on each particle (before removing any)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing total force on each particle (before removing any) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 19: [19.050, 32.000]. Total: 1 / max 60 pairs...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 19: [19.050, 32.000] done. Total: 1 / max 60 pairs. Trials 2 / max 100000000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 19: [19.050, 32.000]. Total: 2 / max 60 pairs...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 19: [19.050, 32.000] done. Total: 2 / max 60 pairs. Trials 3 / max 100000000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 19: [19.050, 32.000]. Total: 3 / max 60 pairs...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 19: [19.050, 32.000] done. Total: 3 / max 60 pairs. Trials 5 / max 100000000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 18: [11.341, 19.050]. Total: 4 / max 60 pairs...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 18: [11.341, 19.050] done. Total: 4 / max 60 pairs. Trials 13 / max 100000000.\n", + "[17:40:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 17: [6.751, 11.341]. Total: 5 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 17: [6.751, 11.341] done. Total: 5 / max 60 pairs. Trials 19 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 18: [11.341, 19.050]. Total: 6 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 18: [11.341, 19.050] done. Total: 6 / max 60 pairs. Trials 22 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 18: [11.341, 19.050]. Total: 7 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 18: [11.341, 19.050] done. Total: 7 / max 60 pairs. Trials 31 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 17: [6.751, 11.341]. Total: 8 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 17: [6.751, 11.341] done. Total: 8 / max 60 pairs. Trials 39 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 17: [6.751, 11.341]. Total: 9 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 17: [6.751, 11.341] done. Total: 9 / max 60 pairs. Trials 47 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 16: [4.019, 6.751]. Total: 10 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 16: [4.019, 6.751] done. Total: 10 / max 60 pairs. Trials 266 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 13: [0.848, 1.424]. Total: 11 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 13: [0.848, 1.424] done. Total: 11 / max 60 pairs. Trials 337 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 16: [4.019, 6.751]. Total: 12 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 16: [4.019, 6.751] done. Total: 12 / max 60 pairs. Trials 374 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 16: [4.019, 6.751]. Total: 13 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 16: [4.019, 6.751] done. Total: 13 / max 60 pairs. Trials 429 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 15: [2.393, 4.019]. Total: 14 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 15: [2.393, 4.019] done. Total: 14 / max 60 pairs. Trials 578 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 15: [2.393, 4.019]. Total: 15 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 15: [2.393, 4.019] done. Total: 15 / max 60 pairs. Trials 590 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 14: [1.424, 2.393]. Total: 16 / max 60 pairs...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 14: [1.424, 2.393] done. Total: 16 / max 60 pairs. Trials 883 / max 100000000.\n", + "[17:40:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 14: [1.424, 2.393]. Total: 17 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 14: [1.424, 2.393] done. Total: 17 / max 60 pairs. Trials 1015 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 15: [2.393, 4.019]. Total: 18 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 15: [2.393, 4.019] done. Total: 18 / max 60 pairs. Trials 1893 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 13: [0.848, 1.424]. Total: 19 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 13: [0.848, 1.424] done. Total: 19 / max 60 pairs. Trials 2224 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 12: [0.505, 0.848]. Total: 20 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 12: [0.505, 0.848] done. Total: 20 / max 60 pairs. Trials 4095 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 14: [1.424, 2.393]. Total: 21 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 14: [1.424, 2.393] done. Total: 21 / max 60 pairs. Trials 5689 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 12: [0.505, 0.848]. Total: 22 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 12: [0.505, 0.848] done. Total: 22 / max 60 pairs. Trials 6556 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 13: [0.848, 1.424]. Total: 23 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 13: [0.848, 1.424] done. Total: 23 / max 60 pairs. Trials 11865 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 10: [0.179, 0.300]. Total: 24 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 10: [0.179, 0.300] done. Total: 24 / max 60 pairs. Trials 26377 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 12: [0.505, 0.848]. Total: 25 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 12: [0.505, 0.848] done. Total: 25 / max 60 pairs. Trials 28202 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 11: [0.300, 0.505]. Total: 26 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 11: [0.300, 0.505] done. Total: 26 / max 60 pairs. Trials 46788 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 11: [0.300, 0.505]. Total: 27 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 11: [0.300, 0.505] done. Total: 27 / max 60 pairs. Trials 62452 / max 100000000.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 11: [0.300, 0.505]. Total: 28 / max 60 pairs...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 11: [0.300, 0.505] done. Total: 28 / max 60 pairs. Trials 108460 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 9: [0.106, 0.179]. Total: 29 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 9: [0.106, 0.179] done. Total: 29 / max 60 pairs. Trials 238614 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 10: [0.179, 0.300]. Total: 30 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 10: [0.179, 0.300] done. Total: 30 / max 60 pairs. Trials 445646 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 9: [0.106, 0.179]. Total: 31 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 9: [0.106, 0.179] done. Total: 31 / max 60 pairs. Trials 496503 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 9: [0.106, 0.179]. Total: 32 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 9: [0.106, 0.179] done. Total: 32 / max 60 pairs. Trials 535938 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 10: [0.179, 0.300]. Total: 33 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 10: [0.179, 0.300] done. Total: 33 / max 60 pairs. Trials 670645 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 8: [0.063, 0.106]. Total: 34 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 8: [0.063, 0.106] done. Total: 34 / max 60 pairs. Trials 872549 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 8: [0.063, 0.106]. Total: 35 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 8: [0.063, 0.106] done. Total: 35 / max 60 pairs. Trials 3895591 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 7: [0.038, 0.063]. Total: 36 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 7: [0.038, 0.063] done. Total: 36 / max 60 pairs. Trials 4613268 / max 100000000.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 8: [0.063, 0.106]. Total: 37 / max 60 pairs...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 8: [0.063, 0.106] done. Total: 37 / max 60 pairs. Trials 5477182 / max 100000000.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 7: [0.038, 0.063]. Total: 38 / max 60 pairs...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 7: [0.038, 0.063] done. Total: 38 / max 60 pairs. Trials 8780737 / max 100000000.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 7: [0.038, 0.063]. Total: 39 / max 60 pairs...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 7: [0.038, 0.063] done. Total: 39 / max 60 pairs. Trials 10189345 / max 100000000.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 6: [0.022, 0.038]. Total: 40 / max 60 pairs...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 6: [0.022, 0.038] done. Total: 40 / max 60 pairs. Trials 11768309 / max 100000000.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 6: [0.022, 0.038]. Total: 41 / max 60 pairs...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 2, bin 6: [0.022, 0.038] done. Total: 41 / max 60 pairs. Trials 21421619 / max 100000000.\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 4: [0.008, 0.013]. Total: 42 / max 60 pairs...\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 1, bin 4: [0.008, 0.013] done. Total: 42 / max 60 pairs. Trials 24094118 / max 100000000.\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 6: [0.022, 0.038]. Total: 43 / max 60 pairs...\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]======|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[17:40:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Computing force for particle pair 3, bin 6: [0.022, 0.038] done. Total: 43 / max 60 pairs. Trials 58033996 / max 100000000.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Running force diagnostic done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 0.344 CPU - 0.064 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.145 CPU - 0.047 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 0.674 CPU - 0.137 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 6.468 CPU - 1.041 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.124 CPU - 0.029 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.027 CPU - 0.010 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 22.898 CPU - 7.994 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 30.680 CPU - 9.321 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[17:40:35\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_p3m.h5'...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_p3m.h5' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_p3m_snapshot.gadget3'...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_p3m_snapshot.gadget3' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_p3m_snapshot.gadget3' (32768 particles)...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/forcediag8/nsteps20_p3m_snapshot.gadget3' done.\n", + "[17:40:35\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.019 CPU - 0.005 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 30.710 CPU - 9.333 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 30.752 CPU - 9.347 wallclock seconds used.\n", + "[17:40:35\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "%%capture\n", - "\n", - "if not isfile(ICs_path) or not isfile(simdir + \"lpt_density.h5\") or not isfile(simdir + \"lpt_particles.gadget3\") or force:\n", - " !simbelmyne {wd}example_lpt.sbmy {logdir}lpt.txt\n", - "\n", - "file_ext = f\"nsteps{nsteps_spm}\" # \"spm\" is already in the filename\n", - "if not isfile(simdir + f\"{file_ext}_final_density_spm.h5\") or force:\n", - " !simbelmyne {wd}{file_ext}_example_spm.sbmy {logdir}{file_ext}_spm.txt\n", - "\n", - "file_ext = f\"nsteps{nsteps_p3m}\" # \"p3m\" is already in the filename\n", - "if not isfile(simdir + f\"{file_ext}_final_density_p3m.h5\") or force:\n", - " !simbelmyne {wd}{file_ext}_example_p3m.sbmy {logdir}{file_ext}_p3m.txt" + "pySbmy(f\"{wd}example_lpt.sbmy\", f\"{logdir}lpt.txt\")\n", + "pySbmy(f\"{wd}{file_ext}_example_spm.sbmy\", f\"{logdir}{file_ext}_spm.txt\")\n", + "pySbmy(f\"{wd}{file_ext}_example_p3m.sbmy\", f\"{logdir}{file_ext}_p3m.txt\")" ] }, { @@ -424,7 +2018,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "73d9e5cd", "metadata": {}, "outputs": [ @@ -432,12 +2026,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "[17:03:35|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag7/nsteps20_final_density_spm.h5'...\n", - "[17:03:35|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:03:35|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag7/nsteps20_final_density_spm.h5' done.\n", - "[17:03:35|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag7/nsteps20_final_density_p3m.h5'...\n", - "[17:03:35|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", - "[17:03:35|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag7/nsteps20_final_density_p3m.h5' done.\n" + "[17:41:08|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_spm.h5'...\n", + "[17:41:08|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[17:41:08|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_spm.h5' done.\n", + "[17:41:08|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_p3m.h5'...\n", + "[17:41:08|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.float64(0.0), np.float64(64.0), np.int32(32), np.int32(32), np.int32(32)]\u001b[00m\n", + "[17:41:08|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/forcediag8/nsteps20_final_density_p3m.h5' done.\n" ] } ], @@ -450,7 +2044,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "cd6e5652", "metadata": {}, "outputs": [ @@ -458,8 +2052,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "max(DELTA_P3M) = 13.531244277954102, min(DELTA_P3M) = -1.0\n", - "max(diff) = 9.856795310974121, min(diff) = -6.477081298828125\n" + "max(DELTA_P3M) = 13.530181884765625, min(DELTA_P3M) = -1.0\n", + "max(diff) = 9.85678768157959, min(diff) = -6.458697319030762\n" ] } ], @@ -470,13 +2064,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "c9da7aa9", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -565,7 +2159,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "228340be", "metadata": {}, "outputs": [], @@ -596,7 +2190,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "684477ec", "metadata": {}, "outputs": [ @@ -617,7 +2211,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "6a6b4e9c", "metadata": {}, "outputs": [ @@ -633,7 +2227,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] diff --git a/notebooks/2_convergence_baseline_ts.ipynb b/notebooks/2_convergence_baseline_ts.ipynb new file mode 100644 index 0000000..77d5645 --- /dev/null +++ b/notebooks/2_convergence_baseline_ts.ipynb @@ -0,0 +1,18609 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tristan Hoellinger
\n", + "Institut d'Astrophysique de Paris
\n", + "tristan.hoellinger@iap.fr" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Time step convergence tests towards implementing P3M gravity" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set up the environment and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# pyright: reportWildcardImportFromLibrary=false\n", + "from wip3m import *" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "workdir = ROOT_PATH + \"results/\"\n", + "output_path = OUTPUT_PATH\n", + "\n", + "# L = 64 # Box size in Mpc/h\n", + "# L = 32 # Box size in Mpc/h\n", + "# L = 16 # Box size in Mpc/h\n", + "L = 8 # Box size in Mpc/h\n", + "# L = 2 # Box size in Mpc/h\n", + "N = 256 # Density grid size\n", + "# N = 32 # Density grid size\n", + "Np = 32 # Number of dark matter particles per spatial dimension\n", + "Npm = 64 # PM grid size\n", + "n_Tiles = 8\n", + "\n", + "go_beyond_Nyquist_ss = True # for the summary statistics\n", + "\n", + "force = True\n", + "force_hard = True\n", + "\n", + "run_id = \"ts2\"\n", + "\n", + "# Fast force diagnostic\n", + "force_diagnostic = False\n", + "nPairsForceDiagnostic = 3\n", + "nBinsForceDiagnostic = 20\n", + "maxTrialsForceDiagnostic = int(1e8)\n", + "\n", + "# Simulation parameters\n", + "# nsteps_pmref = 300\n", + "# nsteps_pm1 = 100\n", + "# nsteps_pm2 = 20\n", + "# nsteps_cola = 10\n", + "# nsteps_spm = nsteps_p3m1 = 1000\n", + "# nsteps_p3m2 = 500\n", + "# nsteps_p3m3 = 200\n", + "\n", + "nsteps_pmref = 200\n", + "nsteps_pm1 = 100\n", + "nsteps_pm2 = 20\n", + "nsteps_cola = 10\n", + "nsteps_spm = nsteps_p3m1 = 200\n", + "nsteps_p3m2 = 100\n", + "nsteps_p3m3 = 20\n", + "\n", + "TimeStepDistribution_pmref = 0\n", + "TimeStepDistribution_pm1 = 0\n", + "TimeStepDistribution_pm2 = 0\n", + "TimeStepDistribution_cola = 0\n", + "TimeStepDistribution_spm = 0\n", + "TimeStepDistribution_p3m1 = 0\n", + "TimeStepDistribution_p3m2 = 0\n", + "TimeStepDistribution_p3m3 = 0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In principle nothing needs to be changed below this cell." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Automatic reloading of modules\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "from os.path import isfile\n", + "from pathlib import Path\n", + "import numpy as np\n", + "\n", + "from pysbmy.power import PowerSpectrum\n", + "from pysbmy.fft import FourierGrid, read_FourierGrid\n", + "from pysbmy.field import read_field\n", + "from pysbmy.correlations import get_autocorrelation\n", + "\n", + "from wip3m.tools import get_k_max, generate_sim_params, generate_white_noise_Field, run_simulation\n", + "from wip3m.params import params_planck_kmax_missing, cosmo_small_to_full_dict, z2a, BASELINE_SEEDPHASE\n", + "from wip3m.plot_utils import * # type: ignore" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "k_max = 174.125\n" + ] + } + ], + "source": [ + "corner = -L / 2.0\n", + "RedshiftLPT = 19.0\n", + "RedshiftFCs = 0.0\n", + "ai = z2a(RedshiftLPT)\n", + "af = z2a(RedshiftFCs)\n", + "k_max = get_k_max(L, N) # k_max in h/Mpc\n", + "print(f\"k_max = {k_max}\")\n", + "cosmo = params_planck_kmax_missing.copy()\n", + "cosmo[\"k_max\"] = k_max\n", + "\n", + "wd = workdir + run_id + \"/\"\n", + "simdir = output_path + run_id + \"/\"\n", + "logdir = simdir + \"logs/\"\n", + "if force_hard:\n", + " import shutil\n", + " if Path(simdir).exists():\n", + " shutil.rmtree(simdir)\n", + " if Path(wd).exists():\n", + " shutil.rmtree(wd)\n", + "Path(wd).mkdir(parents=True, exist_ok=True)\n", + "Path(logdir).mkdir(parents=True, exist_ok=True)\n", + "\n", + "sim_params = {\n", + " \"L\": L,\n", + " \"N\": N,\n", + " \"Np\": Np,\n", + " \"Npm\": Npm,\n", + " \"n_Tiles\": n_Tiles,\n", + " \"RedshiftLPT\": RedshiftLPT,\n", + " \"RedshiftFCs\": RedshiftFCs,\n", + "}\n", + "with open(wd + \"sim_params.txt\", \"w\") as f:\n", + " f.write(f\"{sim_params}\\n\")\n", + "\n", + "input_white_noise_file = simdir + \"input_white_noise.h5\"\n", + "input_seed_phase_file = simdir + \"seed\"\n", + "ICs_path = simdir + \"initial_density.h5\"\n", + "simpath = simdir\n", + "\n", + "# Path to the input matter power spectrum (generated later)\n", + "input_power_file = simdir + \"input_power.h5\"\n", + "\n", + "# Paths the the force diagnostic CSVs\n", + "OutputForceDiagnostic_pmref = simdir + \"force_diagnostic_pmref.txt\"\n", + "OutputForceDiagnostic_pm1 = simdir + \"force_diagnostic_pm1.txt\"\n", + "OutputForceDiagnostic_pm2 = simdir + \"force_diagnostic_pm2.txt\"\n", + "OutputForceDiagnostic_cola = simdir + \"force_diagnostic_cola.txt\"\n", + "OutputForceDiagnostic_spm = simdir + \"force_diagnostic_spm.txt\"\n", + "OutputForceDiagnostic_p3m1 = simdir + \"force_diagnostic_p3m1.txt\"\n", + "OutputForceDiagnostic_p3m2 = simdir + \"force_diagnostic_p3m2.txt\"\n", + "OutputForceDiagnostic_p3m3 = simdir + \"force_diagnostic_p3m3.txt\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate the parameter files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The first preparatory step is to generate all the parameter files required for all the simulations.\n", + "\n", + "To this end we use the `generate_sim_params` function defined in `params.py`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "common_params = {\n", + " \"Np\": Np,\n", + " \"N\": N,\n", + " \"L\": L,\n", + " \"corner0\": corner,\n", + " \"corner1\": corner,\n", + " \"corner2\": corner,\n", + " \"h\": cosmo[\"h\"],\n", + " \"Omega_m\": cosmo[\"Omega_m\"],\n", + " \"Omega_b\": cosmo[\"Omega_b\"],\n", + " \"n_s\": cosmo[\"n_s\"],\n", + " \"sigma8\": cosmo[\"sigma8\"],\n", + "}\n", + "\n", + "lpt_params = common_params.copy()\n", + "lpt_params[\"method\"] = \"lpt\"\n", + "lpt_params[\"InputPowerSpectrum\"] = input_power_file\n", + "lpt_params[\"ICsMode\"] = 1\n", + "lpt_params[\"InputWhiteNoise\"] = input_white_noise_file\n", + "\n", + "common_params_num = common_params.copy()\n", + "common_params_num[\"ai\"] = ai\n", + "common_params_num[\"af\"] = af\n", + "common_params_num[\"RedshiftLPT\"] = RedshiftLPT\n", + "common_params_num[\"RedshiftFCs\"] = RedshiftFCs\n", + "common_params_num[\"Npm\"] = Npm\n", + "common_params_num[\"RunForceDiagnostic\"] = force_diagnostic\n", + "common_params_num[\"nBinsForceDiagnostic\"] = nBinsForceDiagnostic\n", + "common_params_num[\"nPairsForceDiagnostic\"] = nPairsForceDiagnostic\n", + "common_params_num[\"maxTrialsForceDiagnostic\"] = maxTrialsForceDiagnostic\n", + "\n", + "pmref_params = common_params_num.copy()\n", + "pmref_params[\"method\"] = \"pm\"\n", + "pmref_params[\"TimeStepDistribution\"] = TimeStepDistribution_pmref\n", + "pmref_params[\"nsteps\"] = nsteps_pmref\n", + "pmref_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_pmref\n", + "\n", + "pm1_params = common_params_num.copy()\n", + "pm1_params[\"method\"] = \"pm\"\n", + "pm1_params[\"TimeStepDistribution\"] = TimeStepDistribution_pm1\n", + "pm1_params[\"nsteps\"] = nsteps_pm1\n", + "pm1_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_pm1\n", + "\n", + "pm2_params = common_params_num.copy()\n", + "pm2_params[\"method\"] = \"pm\"\n", + "pm2_params[\"TimeStepDistribution\"] = TimeStepDistribution_pm2\n", + "pm2_params[\"nsteps\"] = nsteps_pm2\n", + "pm2_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_pm2\n", + "\n", + "cola_params = common_params_num.copy()\n", + "cola_params[\"method\"] = \"cola\"\n", + "cola_params[\"TimeStepDistribution\"] = TimeStepDistribution_cola\n", + "cola_params[\"nsteps\"] = nsteps_cola\n", + "cola_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_cola\n", + "\n", + "spm_params = common_params_num.copy()\n", + "spm_params[\"method\"] = \"spm\"\n", + "spm_params[\"EvolutionMode\"] = 5\n", + "spm_params[\"TimeStepDistribution\"] = TimeStepDistribution_spm\n", + "spm_params[\"nsteps\"] = nsteps_spm\n", + "spm_params[\"n_Tiles\"] = n_Tiles\n", + "spm_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_spm\n", + "\n", + "p3m1_params = common_params_num.copy()\n", + "p3m1_params[\"method\"] = \"p3m\"\n", + "p3m1_params[\"EvolutionMode\"] = 4\n", + "p3m1_params[\"TimeStepDistribution\"] = TimeStepDistribution_p3m1\n", + "p3m1_params[\"nsteps\"] = nsteps_p3m1\n", + "p3m1_params[\"n_Tiles\"] = n_Tiles\n", + "p3m1_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_p3m1\n", + "\n", + "p3m2_params = common_params_num.copy()\n", + "p3m2_params[\"method\"] = \"p3m\"\n", + "p3m2_params[\"EvolutionMode\"] = 4\n", + "p3m2_params[\"TimeStepDistribution\"] = TimeStepDistribution_p3m2\n", + "p3m2_params[\"nsteps\"] = nsteps_p3m2\n", + "p3m2_params[\"n_Tiles\"] = n_Tiles\n", + "p3m2_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_p3m2\n", + "\n", + "p3m3_params = common_params_num.copy()\n", + "p3m3_params[\"method\"] = \"p3m\"\n", + "p3m3_params[\"EvolutionMode\"] = 4\n", + "p3m3_params[\"TimeStepDistribution\"] = TimeStepDistribution_p3m3\n", + "p3m3_params[\"nsteps\"] = nsteps_p3m3\n", + "p3m3_params[\"n_Tiles\"] = n_Tiles\n", + "p3m3_params[\"OutputForceDiagnostic\"] = OutputForceDiagnostic_p3m3" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:33:01|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy'...\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy' done.\n", + "[22:33:01|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy\n", + "PMREF nsteps = 200:\n", + "[22:33:01|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5'...\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5' done.\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5'...\n", + "[22:33:01|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5' done.\n", + "[22:33:02|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy'...\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy' done.\n", + "[22:33:02|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy\n", + "PM1 nsteps = 100:\n", + "[22:33:02|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5'...\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5' done.\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5'...\n", + "[22:33:02|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy\n", + "PM2 nsteps = 20:\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5' done.\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy\n", + "COLA nsteps = 10:\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5' done.\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy'...\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy' done.\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy\n", + "SPM nsteps = 200:\n", + "[22:33:03|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5\n", + "[22:33:03|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5'...\n", + "[22:33:04|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5' done.\n", + "[22:33:04|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5'...\n", + "[22:33:04|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5' done.\n", + "[22:33:05|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy'...\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy' done.\n", + "[22:33:05|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy\n", + "P3M1 nsteps = 200:\n", + "[22:33:05|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5'...\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5' done.\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5'...\n", + "[22:33:05|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5' done.\n", + "[22:33:06|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy'...\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy' done.\n", + "[22:33:06|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy\n", + "P3M2 nsteps = 100:\n", + "[22:33:06|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5'...\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5' done.\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5'...\n", + "[22:33:06|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5' done.\n", + "[22:33:07|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy'...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy' done.\n", + "[22:33:07|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy\n", + "P3M3 nsteps = 20:\n", + "[22:33:07|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Time-stepping distribution file: /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5'...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Write timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5' done.\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5'...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5' done.\n", + "[22:33:07|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Generating parameter file...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy'...\n", + "[22:33:07|\u001b[38;5;113mSTATUS \u001b[00m]|Writing parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy' done.\n", + "[22:33:07|\u001b[1;36mINFO \u001b[00m]|\u001b[38;5;147m(wip3m.tools)\u001b[00m Parameter file written to /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb0AAACMCAYAAADof3f4AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAANTFJREFUeJztnQdcFMcXx390aSJFQEUsIMauiBpr7D3RRI3GHluCGnv9xxIr2MXeeyyxxBrR2LvG3jsxCqLY6Qrc//MGD++ou8cdnNz7fj77udu93XdvZmfnzbx5M2ukUCgUYBiGYRgDwDi7FWAYhmGYrIKNHsMwDGMwsNFjGIZhDAY2egzDMIzBwEaPYRiGMRjY6DEMwzAGAxs9hmEYxmBgo8cwDMMYDKb4jElISEBISAhsbW1hZGSU3eowDMMw2QStsxIeHo78+fPD2Ng4Zxo9MngFCxbMbjUYhmEYPeHx48dwc3PLmUaPenjKRObOnVtjOcW/KI7Qp6Gwz2uPpQeWpnrOo6UmSIg0gbF1PAr1jNf4v7Qhh3XRrRzWRbdyWBfdytEnXaTwaKkpEiKNYZXbDB3HV4OmvHv3TnSClHYhRxo9pUuTDF5mjJ6yK2xsYgxHe8dUz3luEYeED8YwtkiAo73m2aYNOayLbuWwLrqVw7roVo4+6SKFMIt4xH8wgqWFWabqcSUZDXVxIAvDMAxjMLDRYxiGYQwGNnoMwzCMwcBGj2EYhjEYPutAFl3y5+o/sWnxJrwKewWPEh74pmQfuNuWTPP8K2evYNOiTbh77S5ePn+JCUsnoEajGrL+8/d5v+N44HH89+A/WOSyQKmKpdBrZC+4e7hLlrFj7Q7sXLsToU9CxX5hr8Lo3L8zqtSpgsywfv56LJ2yFK26tULf3/pKvm7VzFVYPXu12rGCHgWx5vAaWf8fFhqGJX5LcO7wOcREx6BA4QIYPn04ipcrLllGu2rt8OzJsxTHW3RugQETB0iSER8fj9WzVuPvP//Gq+ev4OTihEZtGqFTv06y54pGRURhxfQVOLHvBF6/eI1ipYuJvP2i3BcalzOaq7Ry5krsWb8HEe8iUNqnNAZOHgjAVZacY3uPYde6XeL3d2/eYenepfAs5SlLn7gPcVg+bTnOHj6Lp/89hbWtNbxreKNO3m7IDWfJulAZOrTrEMJCwmBqZgqvMl7oPqw7jOAlK02qzBw5E7t+34XWtX1Ru3hryTL8B/lj35Z9arIqfVUJP/pMlq3Lo3uPRJmmc+Pj4lGoWCF0qjIGeYxdJcup414n1fS1rNILDWu0kSQjOjIaS/yXiHL47vU75CuYD9/9+B2KoWmqsqXqRnUnpe/8sfOiLJatUhb9xveDW5G0pxNkBdzTS4VDOw9h4YSF6DKgC5bsWSKM3tytIxEe/TrNa2KiYuBR0gP9J/bX+H+pELXs0hLzt8/HtN+nIS4uDsM6DkN0VLRkGXld86LniJ5YvGcxFu1ehArVKmBUj1EIuhOksV63r9zGrvW7ULREUY2uJ8O79fzWpG3u1rmyrg9/E45fvvsFpqam8F/jj1UHV8F3tC9s7GxkyVm0a5GaHtN/ny6O125WW7KMDQs3iIYFPbyrD60WjZKNizZi28ptkMu0YdNw/vh5jJw9Eiv+XgGfmj4Y0n6IMPCalrONCxN1Geg3EAt2LkAuq1yiDH2Iey9LDv1eulJpkb70SE8ONU7uXb8nGgSL/1qM8UvG4/HDx1i0fYwsXdyKuqH/+P5Yvn855mydA9eCriJN4VFvZMlRQg3Lm5duigaLnPQoqVy7slo5Gj13tGw5wf8Go1+rfqIBOGvTLCzbt0zkk5mpmSw5qnrQNmz6MBjBCOWL1pQsY/74+Th35Bx+DfhVlOlW3VshYEwArt4/lWYeZCSXGl+je44WjZ2Jyydiyd4lcCngIsq3nPpMF3BPLxU2L9uMZj80Q5Pvm4j9QX6DcGLXGZy+HYjGedumeg31pDLbm5q6dqra/ogZI/BthW9FS6pclXKSZFRroD7PpcewHqLnRw95keJFZOtErcBJ/SZhiP8QrJ27FppgYmoCB2cHaAoZGud8zhg+Y3jSsXzu+WTLyeOYR21//YL1yF8oP8p9KS1viRvnb6B6w+qoWq+q2KcK+ODOg6JhIIfYmFjRm5q4bGLSve06qCtOHTgl7lf3od1llzOqaLYs34JOv3RCjYaJLe6Rs0biu4rf4cr9k/B2qydJDtGwVUPxGfo40WOQFunJscltg+nrExsWSvpP6A/fr33xKvwZnGzyStKlfsv6avu9R/fGXxv/QnDYQ3g5Osh6BqlBMWfMHPGsjfxxpKz0KDEzN0ulPMfJkkM9YPr9519/TjpG3otbt+KQECFdTnI9Tu4/CS/3cnDKnZ/WrJIk48aFG2jUuhHKVy0v9r/u8LXoBf8begelXdP2VqUn90nQE9y8eFM05pT1DnkcWlVshUM7Don6Nbvgnl4yPrz/IIxMxRoV1ebxfeHujaBnN7NUl8jwSPGZO49mc1fIFUe9Vmpxl/IupZGM2aNm48u6X6JizU/5IZfgoGC09mmN9tXbY2K/iXgWnNLFmB6n/j6F4mWL47effxONgJ5NemL3+t3I7H0mF2WTtk1kuSVL+ZTCxZMXRY+FuH/zPq7/c120/uVA7qyE+ASYW5irHSe39rV/rkETqFVNLiXVskuGp0T5EngYkrVlNy0i30WKnoilhbxeuup9o3tvndsabnk9ZC9b6DfAD21/aqtRA1DJ5TOXRTnsXLszZv1vFt6+fitbjzOHzoge7NCOQ4Us3298hXsxM9C9J7nVSic21qVSqmIp8YxRg4AaTpdOXRJGq0RhzZ95uk+EavmmepQaDJqWb23BPb1kvH31VlRG9k72asdtrewR+iKxossK6MGY99s8MSYj9wF9ePsh+rTsg/ex72FpbSncSuRilAsZTHJPkVtQU0pUKCF6aOTGIb//mtlr0L91f9ECtLKxkiQj5HEIdqzbgTY92qBD3w6iVzV37FwxvtO4TWON9KIKhsYZGreWd3373u0RFR6FLnW6iMUMqKxQr6zBtw1kyaG0U2Wzds5aFPIsJFYDohYwtY6pxa9ppUckL7u0/+5e2q75rOJ9zHss9lsMny/qwNLcOqknIoXTB05jfN/xiI2OhaOzo3BNK47YqfWKMmLDgg0wMTER49KaQo2bmo1rCk9DyKMQLJuyDCM6j0DfurMl9yHevHgjPCikT7eh3fDTyJ+Ee3FMrzHo32YaPO0raKQbjTVaWVuhfLEaQIz06/qN74cZI2bg+8rfC68MGafB/oPhHlxWVv6qQnEI5M6kOIDBfoOFm33Lsi0Iexom6oHshI2enhIwKgBBd4Nkj38RBYsWxLLAZaJSP/bXMTH4PvuP2bIM3/OQ58Lo0tiieS713ogcVN0fNDZasnxJEVByePdhNGsnzcWhSFCInl7P4T3FPgV80BgluWA0NXp/bfoLVWpXgZNrynGd9Diy+wgObD+AUXNHify8f+M+5o+bD0cXR9m6kOtx6tCpaFO5jTCgXqW9ULdFXeFpyGlQUMu43uPE93b1+wGJHQHJlK9WXpRpapTu3rBbyBrYfA6skfoKSsm5c/UOtq7cKsboM7M4fd1v6iZ9L/pFUbF1qNkBd4tdgZejj+QGLVGtYTXRkCMoSIjcjCeu7IZnbc2M3t4/9qL+t/VhZmouozkB/LnqT9y6dAuTlk+Ci5sLrp69ioDRAejZxF5ympJDDdJxi8eJcetvyn4jyjd5IKg+oN5kdsJGLxl2DnbiBlE0nSrhUa+R21LzcSk5UIE7ffA0AjYHIG++xHEPOZALQdlbIGNBPaOtK7aK1ptUqOKlPOjV9FMgA/Vq6IGgyNb99/eLVrNcKPiEordC/g2RfA217CmyTRXaP773ODSBIlsvnriIcUsSK2E5LJq0CD/0/iGp8qNKj9y1ND4o1+jRPaJ7TAP71Hskw0mVuSbjlYRD3sTySfeNZCmhfQdrzYKQtGnwQoNDMXPjTISssUaCTKNnaWUp8ou2kt4l0bFWR5y8FoiGpTpIuv7auWuih9W2alu18rw1eDEOnd+GiT+tgybQmDDVGWFvQuAlzf6K86lHVbiYeiPU3dMd525e1UgPei4fP3iMMfPH4MPf8saWl01dJrxBynFqapyS2/7Amc3waqSZ0VPWPcrGN5UBGlMnNy4dz07Y6KViMCgkmsZtlOG31DK7898l1CrZUqf/TS0gGmQ/EXgCs/6YpXHll5pcpY9dKt7VvYULUpUpg6cItwVV+poYPILcOuQWavBdA1njaPRAq/Lk4RPRKtWEwD8CxQNYtW7iQy4Hcq8lf20J7VNvVFOoQqeNolT/OfaPcHdpApUXMnxUdpXTC2hc+NblW+hUvzmy0+DRGBFFKdrZ2yEkWdCHJlB+x8VLL9MNWjVIMS5NEaDe7vVQpai8MTBVyF1HYf521g6y6hialpKiTAc9gUNuF409F1RveZb0xK2/42Tdn7gPcamW6QSFnP5i2tC4sjJ9d6/eRbch3ZCdsNFLBXI5+A/2F4WIggAoIi72Qwy+LN4o3cqcwpCVPH38VLi+bPPYCt+21KCRgzsOiog+8s3TPDCCBu0pwEEKS/2XonKdynDJ74KoyCgc3H4Ql09fThEZKmXMKflYIvnlc9vnljXGuHDiQlStXxWuBVzx4tkLMeeKetL1WnyKJJRyP/p+2xfr5q1DneZ1RCVOwQyD/AdBLtSACdwcKKLVqLUtF0rLurnr4JzfGUW8iuDejXsi2lcZ6SuHc0fPAYpEdzSVnUWTF4lGRXqyMipnrbu3FuOE1CMiI0jzAJ2cnVDOs7raOE9Gcmhu3vPg5+KeETR3lHgbmRu2cJIkh3roY38eK8aFJ6+cLHpWVKbfRsbBMt4O5jDJUAaVN8rv6g2qi0hFcm9uX7MdYc/C4F2nlqy8IYOriomZCXJbO8AlD72eLCFjXfLkFnNOazWpJRoXwY+CsXjyYpHXJQr7yMpfCqYZ32e8mLtG04poTI8idwe0niErTcqGzdE9R+E7ylejMlPuy3LCg0F1DO3T1Kn9W/fjuxqfIks1kUtDAdS4pGfl4Z2HYrikeqPqqFSrErITNnqpQK4rerioghaT00t6oG+rychtRa25hDTHDAa2pUnAiSwYv0B8UuU6YuYISf9LoerEwO8/ySEoEESq6+z1y9fwG+gnKheaDEzuNzJ4PrU0d1NkBmoJT+w7UVSi5NYpU6mMmIeYfPpAelCreMKSCWJQfE3AGjF5ts/YPrKDR4gLJy4IdyRFbWoCDfqTIaExV3Ib0lwvCvGmBQA0iWSkQAiKmrO1s0WtprVEUAyNh6RFRuWsnW87REdHY8bIGcKtVManDKasnYKIXerjPBnJoWg+6tkrmdB3gvhsWrUTmpbtKklO14FdhRyiZ+Oe6vn49Qx8YVc2QxmDJg8SPaKxW8aKKEkyPLQgwZwtc6A4Ulgt0EIbz2B6Mijk/sGtByJghPKWXMg0t5J6Ls/Wy8tfCoYhebToAwVlUaAXjYE53iotO00UcEbeHBoPlpumETNHYMy8MeLZoqlJ9JySB4Um/5eObA5FYgC5RnIpYGXBhAWJ7nZnRzENhuYiZjdGiuweVcwE9P4kOzs7vH37NlOvpCjgVgAhwSFwdHXElnNbUj3nVgDNnzGGsU0CSvTXvK2gDTmsi27lsC66lcO66FaOPukihdsB8YiPMIKVnRl+nPJpUr2u7AHP02MYhmEMBjZ6DMMwjMEg2+jVrl0bAwakvjhv165d0bKltAjHf//9V8yXuXz5MrKVhHjg47qExvFxifupnGP8McZafKZ2jsT/yrQc1kW3clgX3cphXXQrR590IRLikefpNTg/OCY+U8hR+R/Ev9f8f7KrpxcQEIBVq1bhs+HmTmB2aRhFJa4QYB7zDl/+0RNO/55OOoW+0zGLmHCxT5/Jz5GCNuSwLoaTJn3SJSemSZ90yelpKv/XKJQ8MkN8qspR/k71LiHq4dmlE+vlz8Xo0SBinjzSo/KyFcrYPzoD79QnSVtEvkSpg/7ihtBG3+lYWudIQRtyWBfDSZM+6ZIT06RPuhhqmoqeW5Xq73j3NLFe1qHhy7TR27NnjzB2v//+ewr3Js2Jmjp1Kjw9PWFhYQF3d3dMmjQpzcWRu3Xrhi+++AL//Zc4J0hnUBc6kFbsTwxctTQFrMwSP5ULFHmeWiI2go6ZIhamRjHiM+mc00thHBsJ4w8xaW+xkfA8nUk52pCRE3XJiWnSJ11yYpr0SRcDSZMqyv2C17an+J/E+vjjZILAETpzdcqeskBjeuXLl8fs2bOxfv16/Pzzz+KzefPmwui9efMG27cnJmj48OFYunQpZs2ahRo1auDp06e4ffs2evToIcb0ihQpgkuXLqFEiRL44YcfxLF9+/Yhb97Ul96KjY0Vm2qIasGCBeVPWQg6DqzOnhUqGIZhmJSsez4PHZ1VXlDdZTdQpKb+TFmYP38+evfujV27dgmDl5zw8HAxxkc9vS5dusDDw0MYPjJ4qkRERKBZs2YICwvD4cOH0zR4hJ+fn0iUciODpxER6b/aZnFccwz70BPnE9TfzJweUQoLFI5ZLzb6rgnakKFvclgX3cphXXQrR5900ZacqGzUJU5hDL8P7fDj+6GIVphnqp7WFI1mHG7ZsgXPnz/HyZMnUalS6kvK3Lp1S/TK6tVLf7kp6uG5ubnh0KFDsLS0TPfckSNHYtCgQSl6erKxUV8WrMaKCDyLUMDFxggnutngQLw3/lF8gWrGN+ED9RXvt78Yi5ZOnxYqjmq7BvEFv0TU+3hg6iVxLLz/ZcSbJy6xZPL4DKw2pVytIzU54S6VMi1DW7qkJUefdOH85fw1pPz93NNEmBolYEv8V3gJO9xXFEAZoyBsfTEJ0Ql2MDeOQnr1dLYavQoVKuDixYtYsWIFfHx8Un1VR0YGTEnTpk2xbt06nD59GnXrpr6MjhIaF6Qt0xSqBtCbhWnQFAph6JSQs/eOItGQetnEANGUtk8e4E8330jIsCreHDA2gcn7T4u82to4w8r8Y9bS7yr/la6cOEXmZWhLl7Tk6JMunL+cv4aUv595mpR4GT/B6QQ7Uc+WQRBaOf0KdRL/R9TTOkAj9ya5KskVuWPHDvzyyy+pnlOsWDFh+A4ePJiuLF9fX/j7++Obb77B0aNHkSUYmwCNlesKqhvsZ3DAO1jDxEiBok1Tn4+YdE1j/0RZH3GwNhdb2v+VsRxtyNCpHH3SRQM5+qRLqnL0SRcN5OiTLqnK0SddDDRNxY2eiG93EgqmHeqS7H/0JpDlzp07Yr9t27ZiP3kgy7hx48S4Hv1WvXp1MW5348YNdO/eXS2QRSlv9OjR2Lt3rxj7y5K1NykslqI4VaYtxNq646r3JITYV0SL8gUSz9k7FAgP/XRd7gKJN6XkN/L+K7NyWBfdymFddCuHddGtHH3SJR051yv5I8ShMspEnUO+4+r1r0b/I9ceKGTy1VdfKfr375+0f/PmTYWzs7Ni0KBBii5duihatGiR9Ft8fLxi4sSJikKFCinMzMwU7u7uismTJ4vfgoKCRHzqpUuXks6fMWOGwtbWVnHy5ElJurx9+1bIoE+NiY9TKB4eUyiubk78pP3kRL9VKMbmTtzu7E/9HCloQw7rols5rItu5bAuupWjT7pIkSOl/pWIVHsge0zvyJEjavs03eDZs9SjbOhFhL/++qvYklO4cOEUr42nIBXVQJUsgbrQGYXFqnazC1fTvNutDTmsi27lsC66lcO66FaOPukiRY6U+lfL8Pv0krHs+EPY5jJFw5KusFf6qo1MgGINP31PhZgP8eiy4pz4vrpbZeQyS+W8DORoQ0aWytEnXSTI0SddJMnRJ10kyNEnXSTJ0SddDCxNx++F4crjN2hcOh88nT8FEmYFbPRUSEhQYMb+u4j+EA+fwg6fjJ5ZLqDD5vSvVShwNuhV0vdUyUCONmRkqRx90kWCHH3SRZIcfdJFghx90kWSHH3SRVty9EmXdOQsOx6Eo3fDRB2b1UaPXy2kwpPX0cLgmZsao5CDVXarwzAMkyMp7morPu+GJi5qnZWw0VPhzrPEG+CZ1wamJpw1DMMwusDLxVatzs1KuGZX4e7HG6BshSTxPhKYlC9xo++aog05rItu5bAuupXDuuhWjj7pko6c4kqjFxqeIqBR1/CYngp0A1RbIWp8SLZEjqZoQw7rols5rItu5bAuupWjT7qkIYfG8Wghr9dRH/Ai4j3y2mphpS2JcE8vlZ6el0vWDqwyDMMYEpbmJklxE8p6N6vgnt5HPsQn4EFYRNo9PQlYphaymw0y9E0O66JbOayLbuXoky7akmOpB7pQPfvvyyjcDg1HdU8nZBVs9D5iamyEkyPq4m5oBArkkbZYtipW5qa4NaFxpnTQhgx9k8O66FYO66JbOfqki7bkWOmJLoMbFseQRsVR2NEaWQkbvY/QmyKcbXOJjWEYhtEtKQIGswge02MYhmEMBu7pfWT+4fuIiI1DK2+3lCsEGBkDhWp8+p7Gkjy+6y6I7ws7VkxjSZ705WhDRpbK0SddJMjRJ10kydEnXSTI0SddJMnRJ10MNE0rTwbhRsg7DGlYHK52WeNlY6P3ka0XnuDhi0hU93BKafTMLIEf96R7PS3Dc/hOWNL3VMlAjjZkZKkcfdJFghx90kWSHH3SRYIcfdJFkhx90kVbcvRJFwlyNp57LCaoNyuTL8uMHrs3P7ZY/n2ZOHHSy5WnKzAMw2QFXq5ZvzKLVowevUh2wIC03jIO8cJYChS5fPly0rGTJ0+iTJkyMDMzQ8uWLZFdxCcosO1iMBIUgI2FKRyszDWWo+Tsw1dq+1kpQ9/ksC66lcO66FaOPumiLTnxeqRLsY9etYO3nuH0g5ca66LTN6dn9Db11IiPjxdvTXdycoKpaaJHtUqVKvDy8oKfnx9sbGzEtfTGdVXDqOs3pwdef4pxu27i6duYpGP57HJh7NclxSsvkqDlc2aXSfw+4Bpgbp1CztidN/DsXazGcrQhI8vl6JMunL+cvzk4f3NimgKvP8XIbdfEqizpytCyPdC5e/P9+/cwMTGBq6trksEjHjx4gLp168LNzQ158uRBVkMZ7rvuoprBI0Lfxojj9LsaUS8TtzTkqN58uXK0ISPb5OiTLmnI0SddZMvRJ13SkKNPusiWo0+6GFCaAj/KUDV46crQIrKNXmRkJDp37ix6Z/ny5cOMGTNSvBF9woQJ4hyytr169VJzbyq/v3z5Et26dRPfV61ahXHjxuHKlStiX3lMV1AXmnp4qXVxxfvmAdGKCY/5gKj3cYh6H48ohUXiRt/FsTjxO52XGTnakJF9cvRJF85fzt+cl785MU3hGcggqH7WlatTtnuzd+/e2LNnD1asWAFnZ2f873//w9GjR4UBIxclGb3Xr19jzJgxSWN11NMrUqQILl26JMbxyNVZvHhxjB8/Hm3bthVd0tGjRyMwMBAHDhwQ19AxS0v1lVFiY2PFptqdLViwoGz3JvmOf1h6Rk6yGYZhGB1SK8oUx6zikvY39PwSVT0cte7elDVlISIiAsuXL8e6detQr149cWz16tXCRakKuS0HDx6ctE+9OyVKVyf15khB+k5Qz5Hcn8r91KDxP+oRZpbn4eouTYZhGCZ7KfbBBMcQp/N6WpbRo3E4GqOjIBQlDg4Ootemio+PD3TByJEjMWjQoBQ9PbkkX2oseHFPxEe+gom1Awr8tDTpeN8mgGc+ozTl3H+qwLy9n/a7v7WAjcIIEUYKLLeLlSRHGzL0TQ7rYjhp0iddOE2fR5rupyEjxkjd6airJSF1Mjnd2lo3C4haWFiILbNULuIgooRo0FT4oePeQ/EhVnwqcbAxgndhSxgbp10AvAsrYG8djdeRiTfLDEYwhxHMVM7JSI42ZOibHNbFcNKkT7pwmj6PNHmnIUNpMukqmqhO9XS2B7J4eHiIeXVnz55NOkbjd3fv3s20Iubm5mJqQ1ZgYmwkwmKJtG5v+xrm6d58gn7vUDP9eX0ZydGGDH2Tw7roVg7rols5+qSLtuR8LroYffyk+pnq6Ww3ejTu1r17dwwdOhSHDh3C9evX0bVrVxgbZ37mAwXABAUFiQjPFy9eqAWs6AKaB7Kwo3eKpW+oldK3sQV8PKR1guk8Ot/e2khjOdqQoW9yWBfDSZM+6cJp+rx1cbXLJeplTebp6Sx6k4JZfH19sW3bNtja2oqAFYrmVE5OJ+NFq7OortBCgSzK6E06j6C5eXQ+GU2CjFyHDh1w8OBBvHnzBitXrkz6TVeT0wkKi3XNnx8vnoXCLq8jtv2zOcPWTmokJChwY3Y8jKONkWCZgFIDTGTL0YYMfZPDuuhWDuuiWzn6pIu25CTomS43AxJgFGUEUxtT9JhaU+Menk6iN5W9vbVr14pNCfX8UovUVEKGMLltJcOmCo3VbdmyBVkNZbC5aWJP1dQkseutCXQdXZ+QCTnakKFvclgX3cphXXQrR5900ZYcY33TxRiggS1zEyOduTRV4bcsSOTP1X9i0+JNeBX2Ch4lPNBvfD+UKF9C8vVXzl7BpkWbcPfaXbx8/hITlk5AjUYfX7khkd/n/Y7jgcfx34P/YJHLAqUqlkKvkb3g7uEuS86OtTuwc+1OhD4JFfuFvQqjc//OqFLnU1SuXNbPX4+lU5aiVbdW6PtbX8nXrZq5Cqtnr1Y7VtCjINYcXiNbh7DQMCzxW4Jzh88hJjoGBQoXwPDpw1G8nHp0cXq0q9YOz548S3G8RecWGDAx7fVlVaGx6dWzVuPvP//Gq+ev4OTihEZtGqFTv05iqo4coiKisGL6CpzYdwKvX7xGsdLFRP5+Ue4LjcsaNUBXzlyJPev3IOJdBEr7lMbAyQPJuSRLzrG9x7Br3S7x+7s377B0L0U+F5YsI+5DHJZPW46zh8/i6X9PYW1rDe8a3ug1ohf5gmTpQuXo0K5DCAsJg6mZKbzKeKH7sO4wgpcsOarMHDkTu37fhda1fVG7eGvJMvwH+WPfln1qsip9VQk/+kyWrcuje49EmaZz4+PiUahYIXSqMgZ5jF0lyajjXifVtH1bqyfqlWgnWZfoyGgs8V8iyuG71++Qr2A+fPfjdyiGprLSRPUnpef8sfOi7JWtUhbNPfrA0Ux+FL6m8FsWJHBo5yEsnLAQXQZ0wZI9S4TRG9ZxmKiEpBITFQOPkh7oP7G/xnpQgWrZpSXmb5+Pab9PQ1xcnNAjOipalpy8rnnRc0RPLN6zGIt2L0KFahUwqscoBN0J0kiv21duY9f6XShaoqhG15PR3Xp+a9I2d+tc2TLC34Tjl+9+EXM9/df4Y9XBVfAd7QsbO3lvzVi0a5GaLtN/ny6O125WW7KMDQs3iIYFNYxWH1otGiYbF23EtpXbZKdr2rBpOH/8PEbOHokVf6+AT00fDGk/RBh4TcvaxoWJugz0G4gFOxcgl1UuUY4+qEQvS5FDv5euVFqkTxNdqGFy7/o90RhY/NdijF8yHo8fPsav3X+VnSa3om7oP74/lu9fjjlb58C1oKtIU3jUG42eQ2pc3rx0UzRY5OpCVK5dWa0cjZ47Wrac4H+D0a9VP9EInLVpFpbtWybyyszUTLIMVR1oGzZ9mGh4VShWU5Yu88fPx7kj5/BrwK+iTLfq3goBYwJw9f4pyXKosTW652jRwJm4fCKW7F0ClwIuCNg8DLEf5NVhmYF7ehLYvGwzmv3QDE2+byL2B/kNwtlDZ7F3016079NekgzqRWWmJ0VMXTtVbX/EjBH4tsK3olVVrko5yXKqNaimtt9jWA/R86OHvEjxIrJ0ohbgpH6TMMR/CNbO/eTyloOJqQkcnDMXnkyGxjmfM4bPGJ50LJ+7/MHwPI7qPYz1C9Yjf6H8KPel9Py9cf4Gqjesjqr1qop9qoAP7jwoGgdyiI2JFb2picsmJt3froO64tSBU+J+dR/aXXZZo4pny/It6PRLJ9RomNgCHzlrJL6r+B2u3D8Jb7d6kuQQDVs1FJ+hjxM9BnJ1scltg+nrExsVSvpP6A/fr33x6svnSb0ZKbrUb1lfbb/36N74a+NfCA57CC9HB1nPITUo5oyZI563kT+OlJUmJWbmZqmU6ThZcqgXTL///OvPScfIe3HrVhwSIqTJSK7Dyf0nUb5qeTjlyZckQ4qcGxduoFHrRuJa4usOX4te8L+hd1DatYYkOU+CnuDmxZui8aasZ8jDcOTPVrhw/xDqO2XN23a4p5cBH95/EEalYo2KSccoWpXcMDcu3shW3SLDE98BmDuPZkE8Slcc9WSp1V3Ku5Ts62ePmo0v636JijU/5Y9cgoOC0dqnNdpXb4+J/SbiWXBK92JGnPr7FIqXLY7ffv5NNAR6NumJ3et3I7P3nlyUTdo2keWWLOVTChdPXhS9FuL+zfu4/s910fqXA7mzEuITYG6hHt5Nru1r/1yDJlArm1xMquWZjA+56h+G3ER2E/kuUuS1pYV1pu4b3Xvr3NZwy+sh69qEhAT4DfBD25/aym4AqnL5zGVRDjvX7oxZ/5uFt6/fytbjzKEzogc7tONQIcv3G1/hXtQUuu9nDp1B03bqLkkp0FAKPWPUIKCG06VTl4QRK1G4oqz7QqiWZ6pLzUzM8CD0OrIK7ullwNtXb0XFY+9kr3ac9mlsLbugh2Leb/PEeIwmD+fD2w/Rp2UfvI99D0trS+FaIjejHMhYknuKXIKaUqJCCdE7IxcOjQGsmb0G/Vv3F61BKxsryXJCHodgx7odaNOjDTr07SB6VXPHzhXjO43bNNZIN6pgaNyhcWt517fv3R5R4VHoUqcLjE2MRfmhXlmDbxvIkkPpp8pm7Zy1KORZCPZ57XFoxyHRWqYWv6YVH5FaeX53T7q7Xhe8j3mPxX6LUbdFXWH0EtQX4M+Q0wdOY3zf8YiNjoWjs6NwTSuO2Kn1aDJiw4INYqlEGpvWFGrc1GxcU3gaQh6FYNmUZRjReQT61p0tuZ/x5sUb4UUhfboN7YafRv4k3Itjeo1B/zbT4GlfQbZeNM5oZW2FWo1r4cFiedeSq37GiBn4vvL3wjNDxmqw/2C4B5eVnL8Ue0DuTBr7H+w3WLjVtyzbgtcRYXgblVguswI2ep8pAaMCEHQ3SKPxL6Jg0YJYFrhMVOrH/jomBt9n/zFbsuF7HvJcGF0aWzTPpdmLdwlVVwiNlZYsX1IEkxzefRjN2jWTLEeRoBA9vZ7De4p9CvigMUpywWhq9P7a9Beq1K4CJ9eU4zrpcWT3ERzYfgCj5o4S+Xn/xn3MHzcfji6OsnUh1+PUoVPRpnIbYUC9SnsJo0Deh5wEBbWM6524ru7ASQPx3wr5MspXKy/KNDVUd2/YLeQNbD4H1pC2aPGdq3ewdeVWMW4vN+BIlbrf1E36XvSLomLrULMD7ha7Ai9HH8mNWqJaw2qiIUd4lvIUbsYTV3bDs7Z8o7f3j72o/239j8+ruqs1I/5c9SduXbqFScsnwcXNBVfPXkXA6AD0bGIvOU3UAB23eJwYp/6m7DeiPJPHoVSRylDE6f7lsUl6ZNk/fabYOdiJm5M8aIX2HfLqZpmcjKDCdvrgaQRsDkDefHk1kkFjDsreAhkL6hltXbFVtN6kQJUu5UGvpp+CGKhHQw8DRbruv79ftJjlQoEnbkXcEPJviKzrqGVPkW2q0P7xvcehCRTZevHERYxbIn+B80WTFuGH3j8kVX5U6ZHLlsYH5Ro9ukd0nylYiXqPZDipMtdkvJJQllm6dyRLrTxbaxaIpC2DFxocipkbZ4ooTrmVMmFpZSnyi7aS3iXRsVZHnLwWiIalOki6/tq5a6KH1bZqW7UyvTV4MQ6d34aJP62DJtCYMNUjYW9C4CXxpQF0PvWoChdTb4S6e7rj3M2rsnWg5/Lxg8cYM3+M7GtpbHnZ1GXCG6Qcp6YGKrntD5zZDK9G0tdaprpG2dim+05j6D9W9kVBB/UoW13CRk+CcaDwZxqjUYbeUiuM9r/t8m2W6kK+dBpgPxF4ArP+mKVxxZeWbKXPXQre1b2FC1KVKYOnCBcGVfiaGDyCXDrkEmrwnTxXII2j0UOtypOHT0SrVBMC/wgUD2TVuokPuRzIvZZ8lSLap96oplCFThtFqf5z7B/h7tIEKjNk+Kj8Us9BOTZ86/ItdKrfHNll8Gh8iCIU7ezttCab8jsuXnqZbtCqQYqxaYoA9XavhypFE4PYNCHsaZgI87ezdpBV79C0lBRlOugJHHK7aOS1oHrMs2TiPZd7j2hLrUwnKBJ7pHKhcWRleh49u4tm3j8iq2CjJwFyL/gP9heFhgb8KfqNQnMbf99YVmVOIchKnj5+KtxetnlshZ9batDIwR0HRTQf+eZpDhhBA/YU3CCVpf5LUblOZbjkd0FUZBQObj+Iy6cvp4gOzWi8KflYIvnoc9vnljXGuHDiQlStXxWuBVzx4tkLMd+Ketb1WnyKIpR6j/p+2xfr5q1DneZ1RCVOwQyD/D+9lUMq1KgJ3BwootWotS0XSs+6uevgnN8ZRbyK4N6NeyICWBn9K4dzR8+JN2uSO5rKz6LJi0TDIj1ZGZW11t1bi3FC6hGREaR5gE7OTijnWR2IkS6H5uY9D34u7htBY9xxz+NgCyfkscmToQzqnY/9eawYF568crLoVSnLdFy8JYzxqUynJ4fKHOV39QbVRbQiuTe3r9mOsGdh8K5TS1beJDe6JmYmyG3tAJc8NI8sIWNd8uQW805rNaklGhfBj4KxePJikdclCvvIyl8KphnfZ7yYy0bTimhMjyJ3B7SeIateoUbN0T1H4TvKV+MyQ9HL5MGgeob2afrU/q378V2Nn2XJIdc/NSbp2Xh456EYIinnWQ0lCurmzTypwUZPAuSmogeJKmQxOb2kB6asnSLLvUnjBQPb0gTgRBaMXyA+qWIdMXOEJBkUpk4M/P6THIICQeS4zV6/fA2/gX6igiFXErnfyOD51Mq6gqfaCp7Yd6KoQMmlU6ZSGTEPMfnUgYygVvGEJRPEIPmagDVi8myfsX1kB48QF05cEO5IitrUBBr0J0NC467kNqS5XhTiTQsAaBLNSIEQFDVna2eLWk1riaAYGh/RtKy1822H6OhozBg5Q7iZyviUEeU5Ypf5x2pdmhyK5qPevZIJfSeIzyYVO+Nr504Zyug6sKuQQfRsnDgWq2TA99PVgjXSkzNo8iDRIxq7ZayIkiTDQwsSzNkyB4ojhdUCLbTxHKYng0LwH9x6IIJGKG/JhUxzK7sN6YZn6+XlLwXDkDxa+IGCsijYi8bEHG+VTkqTlPRQwBl5cmgsOC0ykjNm3hjxbNH0JHpWyYNCk/9LRzaHIlK6HApWWzBhQaJ73dlRTHupbNweyLppevLX3tQntLH2JlHArQBCgkPg6OqILec0XwrtVgDNnzGGsU0CSvQ3zTYZ+iaHddGtHNZFt3L0SRdtybmlR7rcDohHfIQRrOzM8OMU9UnzurAHPE+PYRiGMRjY6DEMwzAGAxs9hmEYxmBgo8cwDMMYDGz0GIZhGIOBjR7DMAxjMLDRYxiGYQyGz3pyunKKIc3PyAzKxV1pRYiXr19qLCc61gQJ701gHBuPl6/js02GvslhXXQrh3XRrRx90kVbcqL1SJeoWFMkvDeGUaxZpupy5bUZTT3/rCenP3nyBAULZt1r5hmGYRj95vHjx3Bzc8uZRo96aCEhIbC1tc3Uq0AY6S0pamRQocrMCjiMdDjPsx7O888zv8mUhYeHI3/+/CkWx84x7k1KWHoWndENVDC5MshaOM+zHs7zzy+/aRmyjOBAFoZhGMZgYKPHMAzDGAxs9BjJWFhYYOzYseKTyRo4z7MezvOcnd+fdSALwzAMw8iBe3oMwzCMwcBGj2EYhjEY2OgxDMMwBgMbPYZhGMZgYKNn4MyfPx+FCxdGrly5UKVKFZw7dy7Nc5cuXYqaNWvC3t5ebPXr109xfteuXcXqOKpb48aNsyAlOTPPV61alSI/6TpVKBZtzJgxyJcvHywtLcV9uXfvXhakJOfld+3atVPkN23NmjVLOofLePocO3YMX3/9tVgZhfJm+/btGVwBHDlyBN7e3iKC09PTU5T7zNzH9GCjZ8Bs2rQJgwYNEuHCFy9eRLly5dCoUSM8f/48zYL5ww8/4PDhwzh9+rRYOqhhw4YIDg5WO48qgKdPnyZtGzZsyKIU5bw8J2iVCtX8fPTokdrvU6dOxZw5c7Bo0SKcPXsW1tbWQmZMTAwMHbn5vW3bNrW8vn79OkxMTNCmTRu187iMp01kZKTIZzJSUggKChKNijp16uDy5csYMGAAevTogX379mXquUkTmrLAGCaVK1dW9OnTJ2k/Pj5ekT9/foWfn5+k6+Pi4hS2traK1atXJx3r0qWLokWLFjrR1xDzfOXKlQo7O7s05SUkJChcXV0V06ZNSzr25s0bhYWFhWLDhg0KQyezZXzWrFmijEdERCQd4zIuHTIxf/75Z7rnDBs2TFGqVCm1Y23btlU0atRIa/dRFe7pGSjv37/HhQsXhCtMdS1T2qdenBSioqLw4cMHODg4pOgROjs7o3jx4vD19cXLl5q/riknoWmeR0REoFChQqJn3aJFC9y4cUOtlRwaGqomk9YfJPeP1PuYU9FGGV++fDnatWsnes+qcBnXHnQvVO8RQb045T3Sxn1UhY2egfLixQvEx8fDxcVF7TjtUyUqheHDhwu/vWphJLfPmjVrcPDgQUyZMgVHjx5FkyZNxH8ZOprkOVWqK1aswI4dO7Bu3TrxZpFq1aqJ12oRyusycx9zKpkt4zRmRO5NcrWpwmVcu9C9SO0e0dsXoqOjtVJX5Zi3LDDZh7+/PzZu3ChavKqBFdQqVlKmTBmULVsWHh4e4rx69eplk7afL1WrVhWbEjJ4JUqUwOLFizFhwoRs1S2nQ708KsOVK1dWO85l/POGe3oGipOTkxigf/bsmdpx2nd1dU332unTpwujt3//fvHAp0fRokXFf92/fx+GTmbyXImZmRkqVKiQlJ/K6zIjM6eSmfymYAxq1HXv3j3D/+EynjnoXqR2jyiAi6KRtfHcqMJGz0AxNzdHxYoVhYtGCbnOaF+1Z5EcihSkHkZgYCB8fHwy/B9yw9F4B4XTGzqa5rkq5Oa5du1aUn4WKVJEPPiqMsktRFGcUmXmVDKT35s3b0ZsbCw6duyY4f9wGc8cdC9U7xHx999/J90jbTw3asgOfWFyDBs3bhRRfqtWrVLcvHlT0atXL0WePHkUoaGh4vdOnTopRowYkXS+v7+/wtzcXLFlyxbF06dPk7bw8HDxO30OGTJEcfr0aUVQUJDiwIEDCm9vb0WxYsUUMTEx2ZbOzznPx40bp9i3b5/iwYMHigsXLijatWunyJUrl+LGjRtq94Vk7NixQ3H16lURWVikSBFFdHS0wtCRm99KatSoISIIk8NlPGMojy5duiQ2MjEzZ84U3x89eiR+p/ymfFfy8OFDhZWVlWLo0KGKW7duKebPn68wMTFRBAYGSr6PcmCjZ+DMnTtX4e7uLowZhQWfOXMm6bevvvpKhGcrKVSokCjEybexY8eK36OiohQNGzZU5M2bV2FmZibO79mzp0YFMycjJ88HDBiQdK6Li4uiadOmiosXL6aYtjB69GjxO1UM9erVU9y5cydL05RT8pu4ffu2KNf79+9PIYvLeMYcPnw41XpCmc/0Sfme/Jry5cuLe1S0aFExVUfOfZQDv1qIYRiGMRh4TI9hGIYxGNjoMQzDMAYDGz2GYRjGYGCjxzAMwxgMbPQYhmEYg4GNHsMwDGMwsNFjGIZhDAY2egzDMIzBwEaPYRiGMRjY6DEMwzAGAxs9hvmMGTt2rHinG73Zm16qSW/xprfZMwyTOvwSWYb5TPm4YLx4oWyBAgVw8+ZNdOnSRbzjkIwfwzAp4QWnGSYH0b59ezg7O2P27NnZrQrD6CXs3mSYz5RHjx6hT58+KF26NOzt7WFjY4M//vgDbm5u2a0aw+gtbPQY5jMkLCwMlSpVEm/snjlzJk6cOIFTp07B2NgY5cqVy271GEZv4TE9hvkM2bVrF+Lj47FhwwYYGRmJY/PmzRNBLOXLl89u9RhGb2GjxzCfIY6Ojnj37h127tyJkiVLCiPo5+cnAlry5s2b3eoxjN7CgSwM8xmSkJCA3r17Y/369bC0tETHjh0RExMjxvl2796d3eoxjN7CRo9hGIYxGDiQhWEYhjEY2OgxDMMwBgMbPYZhGMZgYKPHMAzDGAxs9BiGYRiDgY0ewzAMYzCw0WMYhmEMBjZ6DMMwjMHARo9hGIYxGNjoMQzDMAYDGz2GYRjGYGCjxzAMw8BQ+D/maY4QR2ov7QAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "reset_plotting() # Default style for Simbelmynë\n", + "generate_sim_params(lpt_params, ICs_path, wd, simdir, None, force)\n", + "\n", + "all_sim_params = [\n", + " (\"pmref\", pmref_params),\n", + " (\"pm1\", pm1_params),\n", + " (\"pm2\", pm2_params),\n", + " (\"cola\", cola_params),\n", + " (\"spm\", spm_params),\n", + " (\"p3m1\", p3m1_params),\n", + " (\"p3m2\", p3m2_params),\n", + " (\"p3m3\", p3m3_params),\n", + "]\n", + "for name, params in all_sim_params:\n", + " print(f\"{name.upper()} nsteps = {params['nsteps']}:\")\n", + " file_ext = f\"{name}_nsteps{params['nsteps']}\"\n", + " generate_sim_params(params, ICs_path, wd, simdir, file_ext, force)\n", + "\n", + "setup_plotting() # Reset plotting style for this project" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate the initial phase" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "generate_white_noise_Field(\n", + " L=L,\n", + " size=N,\n", + " corner=corner,\n", + " seedphase=BASELINE_SEEDPHASE,\n", + " fname_whitenoise=input_white_noise_file,\n", + " seedname_whitenoise=input_seed_phase_file,\n", + " force_phase=force,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generating the input power spectrum" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The second preparatory step is to compute the initial power spectrum to be used in the simulations, given the cosmological parameters and prescription specified in ``params.py``. The power spectrum is saved in `input_power_file`." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:33:09|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing normalization of the power spectrum done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Computing power spectrum done.\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/ts2/input_power.h5'...\n", + "[22:33:10|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=8, L1=8, L2=8\u001b[00m\n", + "[22:33:10|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=256, N1=256, N2=256, N2_HC=129, N_HC=8454144, NUM_MODES=33743\u001b[00m\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Write power spectrum in data file '/Users/hoellinger/WIP3M/ts2/input_power.h5' done.\n" + ] + } + ], + "source": [ + "# If cosmo[\"WhichSpectrum\"] == \"class\", then classy is required.\n", + "if not isfile(input_power_file) or force:\n", + " Pk = PowerSpectrum(L, L, L, N, N, N, cosmo_small_to_full_dict(cosmo))\n", + " Pk.write(input_power_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid...\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Setting up Fourier grid done.\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/ts2/input_ss_k_grid.h5'...\n", + "[22:33:10|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=8, L1=8, L2=8\u001b[00m\n", + "[22:33:10|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=256, N1=256, N2=256, N2_HC=129, N_HC=8454144, NUM_MODES=64\u001b[00m\n", + "[22:33:10|\u001b[38;5;113mSTATUS \u001b[00m]|Write Fourier grid in data file '/Users/hoellinger/WIP3M/ts2/input_ss_k_grid.h5' done.\n" + ] + } + ], + "source": [ + "# k grid used to compute the final overdensity power spectrum\n", + "Pinit = 100\n", + "trim_threshold = 100 # Merge bins until this minimum number of modes per bin is reached\n", + "log_kmin = np.log10(2 * np.pi / (np.sqrt(3) * L)) # Minimum non-zero k in h/Mpc\n", + "if go_beyond_Nyquist_ss:\n", + " k_max_ss = get_k_max(L, N)\n", + "else:\n", + " k_max_ss = get_k_max(L, N) / np.sqrt(3) # 1D Nyquist frequency\n", + "Pbins_left_bnds = np.logspace(log_kmin, np.log10(k_max_ss), Pinit + 1, dtype=np.float32)\n", + "Pbins_left_bnds = Pbins_left_bnds[:-1]\n", + "input_ss_file = simdir + \"input_ss_k_grid.h5\"\n", + "Gk = FourierGrid(\n", + " L,\n", + " L,\n", + " L,\n", + " N,\n", + " N,\n", + " N,\n", + " k_modes=Pbins_left_bnds,\n", + " kmax=k_max_ss,\n", + " trim_bins=True,\n", + " trim_threshold=trim_threshold,\n", + ")\n", + "Gk.write(input_ss_file)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Running the simulations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We are now ready to run the actual simulations using the Simbelmynë executable. Warning: the following may take some time, even in relatively low dimension, and should not be run on a login node." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:33:10\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy /Users/hoellinger/WIP3M/ts2/logs/lpt.txt\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:10\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:10: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy'...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/example_lpt.sbmy' done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:10\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/input_white_noise.h5'...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/input_white_noise.h5' done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading power spectrum...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Reading power spectrum in '/Users/hoellinger/WIP3M/ts2/input_power.h5'...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Reading power spectrum in '/Users/hoellinger/WIP3M/ts2/input_power.h5' done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading power spectrum done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Generating Gaussian random field (using 8 cores)...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Generating Gaussian random field (using 8 cores) done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.340 CPU - 0.118 wallclock seconds used.\n", + "[22:33:10\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.047 CPU - 1.523 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Computing outputs...\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/lpt_density.h5'...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/lpt_density.h5' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/lpt_particles.gadget3'...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/lpt_particles.gadget3' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/lpt_particles.gadget3' (32768 particles)...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/lpt_particles.gadget3' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Computing outputs done.\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT output: 0.421 CPU - 0.152 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.808 CPU - 1.793 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 7.811 CPU - 1.798 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n" + ] + } + ], + "source": [ + "run_simulation(\"lpt\", lpt_params, wd, logdir)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:33:11\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy /Users/hoellinger/WIP3M/ts2/logs/pmref_nsteps200pm.txt\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:11\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:11: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy'...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_example_pm.sbmy' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.009 CPU - 0.010 wallclock seconds used.\n", + "[22:33:11\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.029 CPU - 1.370 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.039 CPU - 1.380 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM...\u001b[00m\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5'...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pmref_nsteps200_ts_pm.h5' done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 1/200, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 1/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 2/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 2/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 3/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 3/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 4/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 4/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 5/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 5/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 6/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 6/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 7/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 7/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Total Evolution: 0.054 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 8/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 8/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Total Evolution: 0.055 CPU - 0.012 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 9/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 9/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 10/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 10/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 11/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 11/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 12/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 12/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 13/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 13/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Kick: 0.005 CPU - 0.005 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Drift: 0.001 CPU - 0.004 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Total Evolution: 0.056 CPU - 0.020 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 14/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 14/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Total Evolution: 0.053 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 15/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 15/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 16/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 16/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 17/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 17/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 18/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 18/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 19/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 19/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 20/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 20/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Total Evolution: 0.054 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 21/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 21/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Density: 0.012 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 22/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 22/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 23/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 23/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 24/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 24/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 25/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 25/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 26/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 26/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 27/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 27/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 28/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 28/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 29/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 29/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Accelerations: 0.030 CPU - 0.012 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Total Evolution: 0.057 CPU - 0.019 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 30/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 30/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 31/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 31/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 32/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 32/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Accelerations: 0.028 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 33/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 33/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 34/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 34/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 35/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 35/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 36/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 36/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 37/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 37/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 38/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 38/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 39/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 39/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Density: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 40/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 40/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 41/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 41/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 42/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 42/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 43/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 43/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Accelerations: 0.030 CPU - 0.008 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Total Evolution: 0.058 CPU - 0.016 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 44/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 44/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Accelerations: 0.028 CPU - 0.007 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Total Evolution: 0.052 CPU - 0.015 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 45/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 45/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Density: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Accelerations: 0.029 CPU - 0.008 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Total Evolution: 0.052 CPU - 0.016 wallclock seconds used.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 46/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 46/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Density: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Total Evolution: 0.057 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 47/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 47/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 48/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 48/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Total Evolution: 0.061 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 49/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 49/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 50/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 50/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Total Evolution: 0.061 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 51/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 51/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 52/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 52/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 53/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 53/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 54/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 54/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 55/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 55/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 56/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 56/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 57/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 57/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 58/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 58/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 59/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 59/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 60/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 60/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 61/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 61/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Accelerations: 0.030 CPU - 0.009 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Total Evolution: 0.058 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 62/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 62/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 63/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 63/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 64/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 64/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 65/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 65/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 66/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 66/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 67/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 67/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 68/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 68/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 69/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 69/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 70/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 70/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 71/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 71/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 72/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 72/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 73/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 73/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Accelerations: 0.032 CPU - 0.008 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Total Evolution: 0.060 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 74/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 74/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 75/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 75/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 76/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 76/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 77/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 77/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 78/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 78/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 79/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 79/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 80/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 80/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 81/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 81/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 82/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 82/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 83/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 83/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 84/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 84/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 85/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 85/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 86/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 86/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 87/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 87/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 88/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 88/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 89/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 89/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 90/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 90/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Density: 0.012 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 91/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 91/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 92/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 92/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 93/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 93/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Density: 0.012 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 94/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 94/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 95/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 95/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 96/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 96/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 97/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 97/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 98/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 98/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 99/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 99/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 100/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 100/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Accelerations: 0.029 CPU - 0.011 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Drift: 0.001 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Total Evolution: 0.061 CPU - 0.024 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 101/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 101/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Accelerations: 0.029 CPU - 0.008 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Total Evolution: 0.055 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 102/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 102/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Density: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 103/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 103/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 104/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 104/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 105/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 105/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 106/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 106/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 107/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 107/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 108/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 108/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 109/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 109/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 110/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 110/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 111/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 111/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 112/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 112/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 113/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 113/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 114/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 114/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 115/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 115/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 116/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 116/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Total Evolution: 0.055 CPU - 0.015 wallclock seconds used.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 117/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 117/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Density: 0.012 CPU - 0.004 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Potential: 0.008 CPU - 0.004 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Accelerations: 0.030 CPU - 0.008 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Total Evolution: 0.058 CPU - 0.018 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 118/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 118/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 119/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 119/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 120/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 120/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 121/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 121/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 122/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 122/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 123/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 123/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 124/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 124/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 125/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 125/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 126/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 126/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 127/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 127/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 128/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 128/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 129/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 129/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 130/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 130/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 131/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 131/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 132/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 132/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Kick: 0.006 CPU - 0.004 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Drift: 0.001 CPU - 0.004 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Total Evolution: 0.053 CPU - 0.020 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 133/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 133/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 134/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 134/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 135/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 135/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 136/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 136/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 137/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 137/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 138/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 138/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 139/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 139/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 140/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 140/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 141/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 141/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 142/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 142/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 143/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 143/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 144/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 144/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 145/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 145/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 146/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 146/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 147/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 147/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Accelerations: 0.033 CPU - 0.009 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Total Evolution: 0.060 CPU - 0.017 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 148/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 148/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 149/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 149/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Total Evolution: 0.063 CPU - 0.015 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 150/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 150/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 151/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 151/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 152/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 152/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 153/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 153/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 154/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 154/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 155/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 155/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 156/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 156/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 157/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 157/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 158/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 158/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 159/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 159/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 160/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 160/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 161/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 161/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 162/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 162/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 163/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 163/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 164/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 164/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 165/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 165/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 166/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 166/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 167/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 167/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 168/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 168/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 169/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 169/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 170/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 170/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 171/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 171/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 172/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 172/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 173/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 173/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 174/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 174/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 175/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 175/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 176/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 176/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 177/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 177/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 178/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 178/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 179/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 179/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Total Evolution: 0.056 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 180/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 180/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 181/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 181/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 182/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 182/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 183/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 183/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 184/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 184/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 185/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 185/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 186/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 186/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Accelerations: 0.028 CPU - 0.007 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 187/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 187/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Density: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Accelerations: 0.032 CPU - 0.009 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Total Evolution: 0.055 CPU - 0.016 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 188/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 188/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 189/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 189/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 190/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 190/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 191/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 191/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 192/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 192/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 193/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 193/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Density: 0.012 CPU - 0.005 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Total Evolution: 0.057 CPU - 0.016 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 194/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 194/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 195/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 195/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 196/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 196/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 197/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 197/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Accelerations: 0.031 CPU - 0.006 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 198/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 198/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 199/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 199/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 200/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 200/200, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Density: 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Potential: 0.013 CPU - 0.004 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Accelerations: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Total Evolution: 0.122 CPU - 0.027 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 2.812 CPU - 0.563 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 1.343 CPU - 0.446 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations: 6.281 CPU - 1.379 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 1.167 CPU - 0.281 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.263 CPU - 0.113 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 11.866 CPU - 2.782 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM done.\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5'...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_pm_snapshot.gadget3'...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_pm_snapshot.gadget3' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_pm_snapshot.gadget3' (32768 particles)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_pm_snapshot.gadget3' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.314 CPU - 0.146 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 12.282 CPU - 2.983 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 19.325 CPU - 4.367 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:16\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy /Users/hoellinger/WIP3M/ts2/logs/pm1_nsteps100pm.txt\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:16\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:16: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy'...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_example_pm.sbmy' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.010 CPU - 0.010 wallclock seconds used.\n", + "[22:33:16\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.092 CPU - 1.242 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.102 CPU - 1.252 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM...\u001b[00m\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5'...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm1_nsteps100_ts_pm.h5' done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 1/100, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 1/100, time_kick:0.054750, time_drift=0.059500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 2/100, time_kick:0.054750, time_drift=0.059500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 2/100, time_kick:0.064250, time_drift=0.069000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 3/100, time_kick:0.064250, time_drift=0.069000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 3/100, time_kick:0.073750, time_drift=0.078500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 4/100, time_kick:0.073750, time_drift=0.078500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 4/100, time_kick:0.083250, time_drift=0.088000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 5/100, time_kick:0.083250, time_drift=0.088000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 5/100, time_kick:0.092750, time_drift=0.097500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 6/100, time_kick:0.092750, time_drift=0.097500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 6/100, time_kick:0.102250, time_drift=0.107000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 7/100, time_kick:0.102250, time_drift=0.107000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 7/100, time_kick:0.111750, time_drift=0.116500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 8/100, time_kick:0.111750, time_drift=0.116500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 8/100, time_kick:0.121250, time_drift=0.126000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 9/100, time_kick:0.121250, time_drift=0.126000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 9/100, time_kick:0.130750, time_drift=0.135500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 10/100, time_kick:0.130750, time_drift=0.135500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 10/100, time_kick:0.140250, time_drift=0.145000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 11/100, time_kick:0.140250, time_drift=0.145000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 11/100, time_kick:0.149750, time_drift=0.154500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 12/100, time_kick:0.149750, time_drift=0.154500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 12/100, time_kick:0.159250, time_drift=0.164000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 13/100, time_kick:0.159250, time_drift=0.164000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 13/100, time_kick:0.168750, time_drift=0.173500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 14/100, time_kick:0.168750, time_drift=0.173500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 14/100, time_kick:0.178250, time_drift=0.183000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 15/100, time_kick:0.178250, time_drift=0.183000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 15/100, time_kick:0.187750, time_drift=0.192500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 16/100, time_kick:0.187750, time_drift=0.192500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 16/100, time_kick:0.197250, time_drift=0.202000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Accelerations: 0.034 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 17/100, time_kick:0.197250, time_drift=0.202000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 17/100, time_kick:0.206750, time_drift=0.211500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 18/100, time_kick:0.206750, time_drift=0.211500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 18/100, time_kick:0.216250, time_drift=0.221000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 19/100, time_kick:0.216250, time_drift=0.221000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 19/100, time_kick:0.225750, time_drift=0.230500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 20/100, time_kick:0.225750, time_drift=0.230500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 20/100, time_kick:0.235250, time_drift=0.240000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 21/100, time_kick:0.235250, time_drift=0.240000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 21/100, time_kick:0.244750, time_drift=0.249500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 22/100, time_kick:0.244750, time_drift=0.249500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 22/100, time_kick:0.254250, time_drift=0.259000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 23/100, time_kick:0.254250, time_drift=0.259000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 23/100, time_kick:0.263750, time_drift=0.268500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 24/100, time_kick:0.263750, time_drift=0.268500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 24/100, time_kick:0.273250, time_drift=0.278000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 25/100, time_kick:0.273250, time_drift=0.278000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 25/100, time_kick:0.282750, time_drift=0.287500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 26/100, time_kick:0.282750, time_drift=0.287500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 26/100, time_kick:0.292250, time_drift=0.297000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 27/100, time_kick:0.292250, time_drift=0.297000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 27/100, time_kick:0.301750, time_drift=0.306500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Accelerations: 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Total Evolution: 0.060 CPU - 0.013 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 28/100, time_kick:0.301750, time_drift=0.306500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 28/100, time_kick:0.311250, time_drift=0.316000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Accelerations: 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 29/100, time_kick:0.311250, time_drift=0.316000.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 29/100, time_kick:0.320750, time_drift=0.325500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Density: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Accelerations: 0.028 CPU - 0.007 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Total Evolution: 0.052 CPU - 0.014 wallclock seconds used.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 30/100, time_kick:0.320750, time_drift=0.325500.\n", + "[22:33:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 30/100, time_kick:0.330250, time_drift=0.335000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 31/100, time_kick:0.330250, time_drift=0.335000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 31/100, time_kick:0.339750, time_drift=0.344500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 32/100, time_kick:0.339750, time_drift=0.344500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 32/100, time_kick:0.349250, time_drift=0.354000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 33/100, time_kick:0.349250, time_drift=0.354000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 33/100, time_kick:0.358750, time_drift=0.363500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 34/100, time_kick:0.358750, time_drift=0.363500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 34/100, time_kick:0.368250, time_drift=0.373000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 35/100, time_kick:0.368250, time_drift=0.373000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 35/100, time_kick:0.377750, time_drift=0.382500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 36/100, time_kick:0.377750, time_drift=0.382500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 36/100, time_kick:0.387250, time_drift=0.392000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 37/100, time_kick:0.387250, time_drift=0.392000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 37/100, time_kick:0.396750, time_drift=0.401500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 38/100, time_kick:0.396750, time_drift=0.401500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 38/100, time_kick:0.406250, time_drift=0.411000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Total Evolution: 0.065 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 39/100, time_kick:0.406250, time_drift=0.411000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 39/100, time_kick:0.415750, time_drift=0.420500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 40/100, time_kick:0.415750, time_drift=0.420500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 40/100, time_kick:0.425250, time_drift=0.430000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 41/100, time_kick:0.425250, time_drift=0.430000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 41/100, time_kick:0.434750, time_drift=0.439500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 42/100, time_kick:0.434750, time_drift=0.439500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 42/100, time_kick:0.444250, time_drift=0.449000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 43/100, time_kick:0.444250, time_drift=0.449000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 43/100, time_kick:0.453750, time_drift=0.458500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 44/100, time_kick:0.453750, time_drift=0.458500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 44/100, time_kick:0.463250, time_drift=0.468000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 45/100, time_kick:0.463250, time_drift=0.468000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 45/100, time_kick:0.472750, time_drift=0.477500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 46/100, time_kick:0.472750, time_drift=0.477500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 46/100, time_kick:0.482250, time_drift=0.487000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Density: 0.018 CPU - 0.023 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Potential: 0.014 CPU - 0.035 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Accelerations: 0.036 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Total Evolution: 0.076 CPU - 0.078 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 47/100, time_kick:0.482250, time_drift=0.487000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 47/100, time_kick:0.491750, time_drift=0.496500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 48/100, time_kick:0.491750, time_drift=0.496500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 48/100, time_kick:0.501250, time_drift=0.506000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 49/100, time_kick:0.501250, time_drift=0.506000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 49/100, time_kick:0.510750, time_drift=0.515500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 50/100, time_kick:0.510750, time_drift=0.515500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 50/100, time_kick:0.520250, time_drift=0.525000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 51/100, time_kick:0.520250, time_drift=0.525000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 51/100, time_kick:0.529750, time_drift=0.534500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 52/100, time_kick:0.529750, time_drift=0.534500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 52/100, time_kick:0.539250, time_drift=0.544000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Total Evolution: 0.062 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 53/100, time_kick:0.539250, time_drift=0.544000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 53/100, time_kick:0.548750, time_drift=0.553500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 54/100, time_kick:0.548750, time_drift=0.553500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 54/100, time_kick:0.558250, time_drift=0.563000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 55/100, time_kick:0.558250, time_drift=0.563000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 55/100, time_kick:0.567750, time_drift=0.572500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 56/100, time_kick:0.567750, time_drift=0.572500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 56/100, time_kick:0.577250, time_drift=0.582000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Accelerations: 0.034 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Total Evolution: 0.067 CPU - 0.016 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 57/100, time_kick:0.577250, time_drift=0.582000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 57/100, time_kick:0.586750, time_drift=0.591500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Potential: 0.010 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Total Evolution: 0.070 CPU - 0.020 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 58/100, time_kick:0.586750, time_drift=0.591500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 58/100, time_kick:0.596250, time_drift=0.601000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Density: 0.016 CPU - 0.005 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Accelerations: 0.032 CPU - 0.009 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Total Evolution: 0.066 CPU - 0.020 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 59/100, time_kick:0.596250, time_drift=0.601000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 59/100, time_kick:0.605750, time_drift=0.610500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Density: 0.014 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Accelerations: 0.036 CPU - 0.009 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Total Evolution: 0.066 CPU - 0.019 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 60/100, time_kick:0.605750, time_drift=0.610500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 60/100, time_kick:0.615250, time_drift=0.620000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Density: 0.015 CPU - 0.005 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Total Evolution: 0.065 CPU - 0.019 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 61/100, time_kick:0.615250, time_drift=0.620000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 61/100, time_kick:0.624750, time_drift=0.629500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Density: 0.014 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Total Evolution: 0.065 CPU - 0.018 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 62/100, time_kick:0.624750, time_drift=0.629500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 62/100, time_kick:0.634250, time_drift=0.639000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Total Evolution: 0.065 CPU - 0.016 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 63/100, time_kick:0.634250, time_drift=0.639000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 63/100, time_kick:0.643750, time_drift=0.648500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Accelerations: 0.033 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Total Evolution: 0.068 CPU - 0.018 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 64/100, time_kick:0.643750, time_drift=0.648500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 64/100, time_kick:0.653250, time_drift=0.658000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Density: 0.014 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Total Evolution: 0.063 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 65/100, time_kick:0.653250, time_drift=0.658000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 65/100, time_kick:0.662750, time_drift=0.667500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Accelerations: 0.033 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Total Evolution: 0.064 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 66/100, time_kick:0.662750, time_drift=0.667500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 66/100, time_kick:0.672250, time_drift=0.677000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Accelerations: 0.035 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Total Evolution: 0.069 CPU - 0.018 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 67/100, time_kick:0.672250, time_drift=0.677000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 67/100, time_kick:0.681750, time_drift=0.686500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Density: 0.013 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Total Evolution: 0.064 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 68/100, time_kick:0.681750, time_drift=0.686500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 68/100, time_kick:0.691250, time_drift=0.696000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Density: 0.014 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Accelerations: 0.034 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Total Evolution: 0.064 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 69/100, time_kick:0.691250, time_drift=0.696000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 69/100, time_kick:0.700750, time_drift=0.705500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Total Evolution: 0.061 CPU - 0.016 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 70/100, time_kick:0.700750, time_drift=0.705500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 70/100, time_kick:0.710250, time_drift=0.715000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Accelerations: 0.032 CPU - 0.008 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Total Evolution: 0.062 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 71/100, time_kick:0.710250, time_drift=0.715000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 71/100, time_kick:0.719750, time_drift=0.724500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Accelerations: 0.034 CPU - 0.009 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Total Evolution: 0.064 CPU - 0.017 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 72/100, time_kick:0.719750, time_drift=0.724500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 72/100, time_kick:0.729250, time_drift=0.734000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Accelerations: 0.038 CPU - 0.012 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Kick: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Drift: 0.002 CPU - 0.005 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Total Evolution: 0.073 CPU - 0.025 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 73/100, time_kick:0.729250, time_drift=0.734000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 73/100, time_kick:0.738750, time_drift=0.743500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Density: 0.015 CPU - 0.005 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Accelerations: 0.037 CPU - 0.010 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Total Evolution: 0.068 CPU - 0.022 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 74/100, time_kick:0.738750, time_drift=0.743500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 74/100, time_kick:0.748250, time_drift=0.753000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Density: 0.013 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Total Evolution: 0.063 CPU - 0.016 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 75/100, time_kick:0.748250, time_drift=0.753000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 75/100, time_kick:0.757750, time_drift=0.762500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 76/100, time_kick:0.757750, time_drift=0.762500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 76/100, time_kick:0.767250, time_drift=0.772000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 77/100, time_kick:0.767250, time_drift=0.772000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 77/100, time_kick:0.776750, time_drift=0.781500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 78/100, time_kick:0.776750, time_drift=0.781500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 78/100, time_kick:0.786250, time_drift=0.791000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Total Evolution: 0.065 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 79/100, time_kick:0.786250, time_drift=0.791000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 79/100, time_kick:0.795750, time_drift=0.800500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 80/100, time_kick:0.795750, time_drift=0.800500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 80/100, time_kick:0.805250, time_drift=0.810000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 81/100, time_kick:0.805250, time_drift=0.810000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 81/100, time_kick:0.814750, time_drift=0.819500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 82/100, time_kick:0.814750, time_drift=0.819500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 82/100, time_kick:0.824250, time_drift=0.829000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Total Evolution: 0.065 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 83/100, time_kick:0.824250, time_drift=0.829000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 83/100, time_kick:0.833750, time_drift=0.838500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 84/100, time_kick:0.833750, time_drift=0.838500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 84/100, time_kick:0.843250, time_drift=0.848000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 85/100, time_kick:0.843250, time_drift=0.848000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 85/100, time_kick:0.852750, time_drift=0.857500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 86/100, time_kick:0.852750, time_drift=0.857500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 86/100, time_kick:0.862250, time_drift=0.867000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 87/100, time_kick:0.862250, time_drift=0.867000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 87/100, time_kick:0.871750, time_drift=0.876500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Total Evolution: 0.062 CPU - 0.015 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 88/100, time_kick:0.871750, time_drift=0.876500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 88/100, time_kick:0.881250, time_drift=0.886000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 89/100, time_kick:0.881250, time_drift=0.886000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 89/100, time_kick:0.890750, time_drift=0.895500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Total Evolution: 0.062 CPU - 0.015 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 90/100, time_kick:0.890750, time_drift=0.895500.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 90/100, time_kick:0.900250, time_drift=0.905000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Accelerations: 0.028 CPU - 0.007 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 91/100, time_kick:0.900250, time_drift=0.905000.\n", + "[22:33:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 91/100, time_kick:0.909750, time_drift=0.914500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Accelerations: 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Total Evolution: 0.055 CPU - 0.015 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 92/100, time_kick:0.909750, time_drift=0.914500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 92/100, time_kick:0.919250, time_drift=0.924000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 93/100, time_kick:0.919250, time_drift=0.924000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 93/100, time_kick:0.928750, time_drift=0.933500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 94/100, time_kick:0.928750, time_drift=0.933500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 94/100, time_kick:0.938250, time_drift=0.943000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Total Evolution: 0.063 CPU - 0.016 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 95/100, time_kick:0.938250, time_drift=0.943000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 95/100, time_kick:0.947750, time_drift=0.952500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 96/100, time_kick:0.947750, time_drift=0.952500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 96/100, time_kick:0.957250, time_drift=0.962000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Total Evolution: 0.063 CPU - 0.015 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 97/100, time_kick:0.957250, time_drift=0.962000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 97/100, time_kick:0.966750, time_drift=0.971500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 98/100, time_kick:0.966750, time_drift=0.971500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 98/100, time_kick:0.976250, time_drift=0.981000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 99/100, time_kick:0.976250, time_drift=0.981000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 99/100, time_kick:0.985750, time_drift=0.990500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 100/100, time_kick:0.985750, time_drift=0.990500.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 100/100, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Density: 0.029 CPU - 0.006 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Potential: 0.013 CPU - 0.005 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Accelerations: 0.065 CPU - 0.013 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Total Evolution: 0.119 CPU - 0.027 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 1.545 CPU - 0.336 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.732 CPU - 0.275 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations: 3.313 CPU - 0.713 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.616 CPU - 0.147 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.144 CPU - 0.058 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 6.350 CPU - 1.529 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM done.\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5'...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_pm_snapshot.gadget3'...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_pm_snapshot.gadget3' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_pm_snapshot.gadget3' (32768 particles)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_pm_snapshot.gadget3' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.327 CPU - 0.095 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 6.730 CPU - 1.653 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 13.835 CPU - 2.907 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:19\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy /Users/hoellinger/WIP3M/ts2/logs/pm2_nsteps20pm.txt\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:19\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:19: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy'...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_example_pm.sbmy' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.010 CPU - 0.010 wallclock seconds used.\n", + "[22:33:19\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:19\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.138 CPU - 1.253 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.148 CPU - 1.263 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM...\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5'...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/pm2_nsteps20_ts_pm.h5' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 1/20, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 1/20, time_kick:0.073750, time_drift=0.097500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 2/20, time_kick:0.073750, time_drift=0.097500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 2/20, time_kick:0.121250, time_drift=0.145000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Total Evolution: 0.060 CPU - 0.015 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 3/20, time_kick:0.121250, time_drift=0.145000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 3/20, time_kick:0.168750, time_drift=0.192500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 4/20, time_kick:0.168750, time_drift=0.192500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 4/20, time_kick:0.216250, time_drift=0.240000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 5/20, time_kick:0.216250, time_drift=0.240000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 5/20, time_kick:0.263750, time_drift=0.287500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Total Evolution: 0.061 CPU - 0.013 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 6/20, time_kick:0.263750, time_drift=0.287500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 6/20, time_kick:0.311250, time_drift=0.335000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 7/20, time_kick:0.311250, time_drift=0.335000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 7/20, time_kick:0.358750, time_drift=0.382500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 8/20, time_kick:0.358750, time_drift=0.382500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 8/20, time_kick:0.406250, time_drift=0.430000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 9/20, time_kick:0.406250, time_drift=0.430000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 9/20, time_kick:0.453750, time_drift=0.477500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Total Evolution: 0.063 CPU - 0.013 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 10/20, time_kick:0.453750, time_drift=0.477500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 10/20, time_kick:0.501250, time_drift=0.525000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 11/20, time_kick:0.501250, time_drift=0.525000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 11/20, time_kick:0.548750, time_drift=0.572500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 12/20, time_kick:0.548750, time_drift=0.572500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 12/20, time_kick:0.596250, time_drift=0.620000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 13/20, time_kick:0.596250, time_drift=0.620000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 13/20, time_kick:0.643750, time_drift=0.667500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 14/20, time_kick:0.643750, time_drift=0.667500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 14/20, time_kick:0.691250, time_drift=0.715000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 15/20, time_kick:0.691250, time_drift=0.715000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 15/20, time_kick:0.738750, time_drift=0.762500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations: 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 16/20, time_kick:0.738750, time_drift=0.762500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 16/20, time_kick:0.786250, time_drift=0.810000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 17/20, time_kick:0.786250, time_drift=0.810000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 17/20, time_kick:0.833750, time_drift=0.857500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Total Evolution: 0.066 CPU - 0.013 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 18/20, time_kick:0.833750, time_drift=0.857500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 18/20, time_kick:0.881250, time_drift=0.905000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Total Evolution: 0.063 CPU - 0.015 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 19/20, time_kick:0.881250, time_drift=0.905000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 19/20, time_kick:0.928750, time_drift=0.952500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin PM step 20/20, time_kick:0.928750, time_drift=0.952500.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End PM step 20/20, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Density: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Potential: 0.013 CPU - 0.004 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations: 0.066 CPU - 0.013 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Total Evolution: 0.125 CPU - 0.027 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 0.326 CPU - 0.063 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.148 CPU - 0.047 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations: 0.683 CPU - 0.140 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.126 CPU - 0.028 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.029 CPU - 0.010 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 1.312 CPU - 0.290 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with PM done.\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5'...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_pm_snapshot.gadget3'...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_pm_snapshot.gadget3' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_pm_snapshot.gadget3' (32768 particles)...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_pm_snapshot.gadget3' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.326 CPU - 0.092 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 1.651 CPU - 0.389 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 8.802 CPU - 1.654 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:20\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy /Users/hoellinger/WIP3M/ts2/logs/cola_nsteps10cola.txt\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:20\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:20: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy'...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_example_cola.sbmy' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.001 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.012 CPU - 0.012 wallclock seconds used.\n", + "[22:33:20\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:20\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:21\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 6.944 CPU - 1.248 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 6.956 CPU - 1.261 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with tCOLA...\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5'...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/cola_nsteps10_ts_cola.h5' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: L_minus operator: changing reference frame before COLA evolution...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: L_minus operator: changing reference frame before COLA evolution done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 1/10, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 1/10, time_kick:0.097500, time_drift=0.145000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/10: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 2/10, time_kick:0.097500, time_drift=0.145000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 2/10, time_kick:0.192500, time_drift=0.240000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Accelerations: 0.032 CPU - 0.009 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/10: Total Evolution: 0.061 CPU - 0.016 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 3/10, time_kick:0.192500, time_drift=0.240000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 3/10, time_kick:0.287500, time_drift=0.335000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/10: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 4/10, time_kick:0.287500, time_drift=0.335000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 4/10, time_kick:0.382500, time_drift=0.430000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Accelerations: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/10: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 5/10, time_kick:0.382500, time_drift=0.430000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 5/10, time_kick:0.477500, time_drift=0.525000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/10: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 6/10, time_kick:0.477500, time_drift=0.525000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 6/10, time_kick:0.572500, time_drift=0.620000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/10: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 7/10, time_kick:0.572500, time_drift=0.620000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 7/10, time_kick:0.667500, time_drift=0.715000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Accelerations: 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/10: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 8/10, time_kick:0.667500, time_drift=0.715000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 8/10, time_kick:0.762500, time_drift=0.810000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/10: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 9/10, time_kick:0.762500, time_drift=0.810000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 9/10, time_kick:0.857500, time_drift=0.905000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Potential: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Accelerations: 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/10: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: Begin tCOLA step 10/10, time_kick:0.857500, time_drift=0.905000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: End tCOLA step 10/10, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Density: 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Potential: 0.012 CPU - 0.004 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Accelerations: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/10: Total Evolution: 0.120 CPU - 0.028 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: L_plus operator: changing reference frame after COLA evolution...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModulePMCOLA: L_plus operator: changing reference frame after COLA evolution done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 0.167 CPU - 0.033 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.073 CPU - 0.024 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations: 0.346 CPU - 0.077 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.064 CPU - 0.015 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.014 CPU - 0.005 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 0.665 CPU - 0.154 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Evolving with tCOLA done.\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5'...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_cola_snapshot.gadget3'...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_cola_snapshot.gadget3' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_cola_snapshot.gadget3' (32768 particles)...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_cola_snapshot.gadget3' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.306 CPU - 0.088 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 0.999 CPU - 0.266 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 7.958 CPU - 1.531 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:22\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy /Users/hoellinger/WIP3M/ts2/logs/spm_nsteps200spm.txt\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:22\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:22: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy'...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_example_spm.sbmy' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.010 CPU - 0.010 wallclock seconds used.\n", + "[22:33:22\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:22\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 6.912 CPU - 1.285 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 6.922 CPU - 1.295 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5'...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/spm_nsteps200_ts_spm.h5' done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/ts2/force_diagnostic_spm.txt\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 1/200, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 1/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 2/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 2/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Accelerations (long-range): 0.031 CPU - 0.008 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Total Evolution: 0.063 CPU - 0.015 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 3/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 3/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 4/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 4/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Total Evolution: 0.055 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 5/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 5/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 6/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 6/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Total Evolution: 0.062 CPU - 0.015 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 7/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 7/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Total Evolution: 0.056 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 8/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 8/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 9/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 9/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 10/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 10/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 11/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 11/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 12/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 12/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 13/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 13/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 14/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 14/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Total Evolution: 0.057 CPU - 0.013 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 15/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 15/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 16/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 16/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 17/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 17/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 18/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 18/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 19/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:23\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 19/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Density: 0.010 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Accelerations (long-range): 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Total Evolution: 0.053 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 20/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 20/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Density: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Accelerations (long-range): 0.032 CPU - 0.008 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Total Evolution: 0.056 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 21/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 21/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 22/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 22/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 23/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 23/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 24/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 24/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 25/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 25/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Total Evolution: 0.065 CPU - 0.013 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 26/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 26/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 27/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 27/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 28/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 28/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 29/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 29/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 30/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 30/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 31/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 31/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Total Evolution: 0.064 CPU - 0.013 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 32/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 32/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 33/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 33/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 34/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 34/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 35/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 35/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Total Evolution: 0.067 CPU - 0.013 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 36/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 36/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 37/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 37/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 38/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 38/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 39/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 39/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 40/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 40/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Total Evolution: 0.073 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 41/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 41/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 42/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 42/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 43/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 43/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 44/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 44/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 45/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 45/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 46/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 46/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 47/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 47/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Accelerations (long-range): 0.032 CPU - 0.009 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Total Evolution: 0.065 CPU - 0.016 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 48/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 48/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Density: 0.012 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Potential: 0.008 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Total Evolution: 0.059 CPU - 0.017 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 49/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 49/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Total Evolution: 0.073 CPU - 0.016 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 50/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 50/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Total Evolution: 0.068 CPU - 0.013 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 51/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 51/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 52/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 52/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 53/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 53/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Density: 0.022 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Total Evolution: 0.071 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 54/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 54/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 55/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 55/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 56/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 56/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 57/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 57/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 58/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 58/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 59/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 59/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Total Evolution: 0.071 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 60/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 60/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Total Evolution: 0.071 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 61/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 61/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 62/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 62/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 63/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 63/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 64/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 64/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Total Evolution: 0.069 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 65/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 65/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 66/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 66/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 67/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 67/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 68/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 68/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 69/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 69/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 70/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 70/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 71/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 71/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 72/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 72/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 73/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 73/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 74/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 74/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 75/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 75/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Total Evolution: 0.075 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 76/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 76/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 77/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 77/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Total Evolution: 0.065 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 78/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 78/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 79/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 79/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 80/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 80/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 81/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 81/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 82/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 82/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 83/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 83/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Total Evolution: 0.074 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 84/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 84/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 85/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 85/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 86/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 86/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 87/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 87/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 88/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 88/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Accelerations (long-range): 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Total Evolution: 0.054 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 89/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 89/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Accelerations (long-range): 0.030 CPU - 0.008 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Total Evolution: 0.058 CPU - 0.017 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 90/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 90/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 91/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 91/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 92/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 92/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Total Evolution: 0.069 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 93/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 93/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 94/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 94/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Density: 0.011 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Total Evolution: 0.059 CPU - 0.013 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 95/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 95/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 96/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 96/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 97/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 97/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 98/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 98/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 99/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 99/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Accelerations (long-range): 0.036 CPU - 0.058 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Kick: 0.007 CPU - 0.012 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Total Evolution: 0.068 CPU - 0.076 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 100/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 100/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Density: 0.008 CPU - 0.008 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Total Evolution: 0.055 CPU - 0.019 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 101/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 101/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 102/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 102/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 103/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 103/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 104/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 104/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 105/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 105/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 106/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 106/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 107/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 107/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Total Evolution: 0.061 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 108/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 108/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 109/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 109/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Density: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Total Evolution: 0.055 CPU - 0.013 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 110/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 110/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 111/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 111/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 112/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 112/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Total Evolution: 0.064 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 113/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 113/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 114/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 114/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Total Evolution: 0.066 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 115/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 115/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 116/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 116/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Total Evolution: 0.069 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 117/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 117/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 118/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 118/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Total Evolution: 0.065 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 119/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 119/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 120/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 120/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 121/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 121/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 122/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 122/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 123/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 123/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 124/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 124/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 125/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 125/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 126/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 126/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Total Evolution: 0.059 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 127/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 127/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Total Evolution: 0.066 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 128/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 128/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 129/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 129/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 130/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 130/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 131/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 131/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Total Evolution: 0.058 CPU - 0.013 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 132/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 132/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 133/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 133/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 134/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 134/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 135/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 135/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Total Evolution: 0.058 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 136/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 136/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Total Evolution: 0.066 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 137/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 137/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 138/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 138/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 139/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 139/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 140/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 140/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Total Evolution: 0.057 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 141/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 141/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 142/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 142/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 143/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 143/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 144/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 144/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 145/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 145/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Total Evolution: 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 146/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 146/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 147/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 147/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 148/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 148/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 149/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 149/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Density: 0.014 CPU - 0.003 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Total Evolution: 0.061 CPU - 0.014 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 150/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 150/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 151/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 151/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Total Evolution: 0.069 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 152/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 152/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 153/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 153/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Total Evolution: 0.060 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 154/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 154/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Total Evolution: 0.066 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 155/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 155/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Total Evolution: 0.067 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 156/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 156/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 157/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 157/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 158/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 158/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 159/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 159/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 160/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 160/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 161/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 161/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Density: 0.016 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Total Evolution: 0.063 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 162/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 162/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Total Evolution: 0.071 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 163/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 163/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Potential: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 164/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 164/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Kick: 0.005 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Total Evolution: 0.070 CPU - 0.016 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 165/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 165/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Density: 0.022 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Total Evolution: 0.070 CPU - 0.018 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 166/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 166/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 167/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 167/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 168/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 168/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 169/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 169/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 170/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 170/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Total Evolution: 0.075 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 171/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 171/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Total Evolution: 0.075 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 172/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 172/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Potential: 0.007 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 173/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 173/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 174/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 174/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 175/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 175/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 176/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 176/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 177/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 177/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 178/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 178/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 179/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 179/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Total Evolution: 0.071 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 180/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 180/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Total Evolution: 0.072 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 181/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 181/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 182/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 182/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Accelerations (long-range): 0.034 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Total Evolution: 0.075 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 183/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 183/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Accelerations (long-range): 0.034 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Total Evolution: 0.068 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 184/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 184/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Total Evolution: 0.067 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 185/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 185/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 186/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 186/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Total Evolution: 0.073 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 187/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 187/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Accelerations (long-range): 0.034 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 188/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 188/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Total Evolution: 0.066 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 189/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 189/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Total Evolution: 0.071 CPU - 0.016 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 190/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 190/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 191/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 191/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Total Evolution: 0.068 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 192/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 192/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 193/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 193/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Total Evolution: 0.069 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 194/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 194/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 195/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 195/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Total Evolution: 0.070 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 196/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 196/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Total Evolution: 0.069 CPU - 0.014 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 197/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 197/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Total Evolution: 0.072 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 198/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 198/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Total Evolution: 0.074 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 199/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 199/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Total Evolution: 0.070 CPU - 0.015 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin sPM step 200/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End sPM step 200/200, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Density: 0.041 CPU - 0.007 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Potential: 0.015 CPU - 0.005 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Accelerations (long-range): 0.066 CPU - 0.013 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Accelerations (short-range): 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Total Evolution: 0.136 CPU - 0.028 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 3.949 CPU - 0.715 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 1.532 CPU - 0.474 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 6.498 CPU - 1.387 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 0.035 CPU - 0.012 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 1.185 CPU - 0.277 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.288 CPU - 0.101 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 13.487 CPU - 2.966 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5'...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_spm_snapshot.gadget3'...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_spm_snapshot.gadget3' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_spm_snapshot.gadget3' (32768 particles)...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_spm_snapshot.gadget3' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.344 CPU - 0.157 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 13.916 CPU - 3.190 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 20.841 CPU - 4.487 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:26\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy /Users/hoellinger/WIP3M/ts2/logs/p3m1_nsteps200p3m.txt\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:26\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:26: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy'...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_example_p3m.sbmy' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.010 CPU - 0.010 wallclock seconds used.\n", + "[22:33:26\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:26\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:27\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.194 CPU - 1.241 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.204 CPU - 1.251 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5'...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m1_nsteps200_ts_p3m.h5' done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/ts2/force_diagnostic_p3m1.txt\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 1/200, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 1/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Accelerations (short-range): 0.269 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/200: Total Evolution: 0.331 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 2/200, time_kick:0.052375, time_drift=0.054750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 2/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Accelerations (short-range): 0.271 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/200: Total Evolution: 0.336 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 3/200, time_kick:0.057125, time_drift=0.059500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 3/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Accelerations (short-range): 0.269 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/200: Total Evolution: 0.336 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 4/200, time_kick:0.061875, time_drift=0.064250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 4/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Accelerations (short-range): 0.270 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/200: Total Evolution: 0.335 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 5/200, time_kick:0.066625, time_drift=0.069000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 5/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Accelerations (short-range): 0.272 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/200: Total Evolution: 0.336 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 6/200, time_kick:0.071375, time_drift=0.073750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 6/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Accelerations (short-range): 0.274 CPU - 0.039 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/200: Total Evolution: 0.343 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 7/200, time_kick:0.076125, time_drift=0.078500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 7/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Density: 0.022 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Accelerations (short-range): 0.281 CPU - 0.039 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/200: Total Evolution: 0.351 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 8/200, time_kick:0.080875, time_drift=0.083250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 8/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Accelerations (short-range): 0.275 CPU - 0.038 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/200: Total Evolution: 0.344 CPU - 0.052 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 9/200, time_kick:0.085625, time_drift=0.088000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 9/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Accelerations (short-range): 0.278 CPU - 0.040 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/200: Total Evolution: 0.345 CPU - 0.054 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 10/200, time_kick:0.090375, time_drift=0.092750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 10/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Accelerations (short-range): 0.284 CPU - 0.039 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/200: Total Evolution: 0.354 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 11/200, time_kick:0.095125, time_drift=0.097500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 11/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Accelerations (short-range): 0.282 CPU - 0.040 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/200: Total Evolution: 0.348 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 12/200, time_kick:0.099875, time_drift=0.102250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 12/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Accelerations (short-range): 0.272 CPU - 0.040 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/200: Total Evolution: 0.340 CPU - 0.054 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 13/200, time_kick:0.104625, time_drift=0.107000.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 13/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Accelerations (short-range): 0.281 CPU - 0.039 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/200: Total Evolution: 0.348 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 14/200, time_kick:0.109375, time_drift=0.111750.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 14/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Accelerations (short-range): 0.290 CPU - 0.041 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/200: Total Evolution: 0.357 CPU - 0.055 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 15/200, time_kick:0.114125, time_drift=0.116500.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 15/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Accelerations (short-range): 0.288 CPU - 0.040 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/200: Total Evolution: 0.354 CPU - 0.053 wallclock seconds used.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 16/200, time_kick:0.118875, time_drift=0.121250.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:28\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 16/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Accelerations (short-range): 0.294 CPU - 0.042 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/200: Total Evolution: 0.362 CPU - 0.055 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 17/200, time_kick:0.123625, time_drift=0.126000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 17/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Accelerations (short-range): 0.295 CPU - 0.041 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/200: Total Evolution: 0.359 CPU - 0.055 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 18/200, time_kick:0.128375, time_drift=0.130750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 18/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Accelerations (short-range): 0.298 CPU - 0.042 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/200: Total Evolution: 0.370 CPU - 0.056 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 19/200, time_kick:0.133125, time_drift=0.135500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 19/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Accelerations (short-range): 0.296 CPU - 0.041 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/200: Total Evolution: 0.361 CPU - 0.055 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 20/200, time_kick:0.137875, time_drift=0.140250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 20/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Accelerations (short-range): 0.302 CPU - 0.042 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/200: Total Evolution: 0.370 CPU - 0.057 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 21/200, time_kick:0.142625, time_drift=0.145000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 21/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Accelerations (short-range): 0.306 CPU - 0.043 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/200: Total Evolution: 0.375 CPU - 0.057 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 22/200, time_kick:0.147375, time_drift=0.149750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 22/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Accelerations (short-range): 0.308 CPU - 0.042 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/200: Total Evolution: 0.375 CPU - 0.056 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 23/200, time_kick:0.152125, time_drift=0.154500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 23/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Accelerations (short-range): 0.311 CPU - 0.042 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/200: Total Evolution: 0.377 CPU - 0.056 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 24/200, time_kick:0.156875, time_drift=0.159250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 24/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Accelerations (short-range): 0.314 CPU - 0.044 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/200: Total Evolution: 0.382 CPU - 0.058 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 25/200, time_kick:0.161625, time_drift=0.164000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 25/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Accelerations (short-range): 0.315 CPU - 0.044 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/200: Total Evolution: 0.385 CPU - 0.058 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 26/200, time_kick:0.166375, time_drift=0.168750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 26/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Accelerations (short-range): 0.317 CPU - 0.044 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/200: Total Evolution: 0.384 CPU - 0.058 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 27/200, time_kick:0.171125, time_drift=0.173500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 27/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Accelerations (short-range): 0.321 CPU - 0.046 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/200: Total Evolution: 0.393 CPU - 0.060 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 28/200, time_kick:0.175875, time_drift=0.178250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 28/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Accelerations (short-range): 0.325 CPU - 0.045 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/200: Total Evolution: 0.393 CPU - 0.059 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 29/200, time_kick:0.180625, time_drift=0.183000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 29/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Accelerations (short-range): 0.326 CPU - 0.046 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/200: Total Evolution: 0.393 CPU - 0.060 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 30/200, time_kick:0.185375, time_drift=0.187750.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 30/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Accelerations (short-range): 0.329 CPU - 0.048 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/200: Total Evolution: 0.395 CPU - 0.062 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 31/200, time_kick:0.190125, time_drift=0.192500.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 31/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Accelerations (short-range): 0.334 CPU - 0.047 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/200: Total Evolution: 0.398 CPU - 0.061 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 32/200, time_kick:0.194875, time_drift=0.197250.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 32/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Accelerations (short-range): 0.337 CPU - 0.048 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/200: Total Evolution: 0.407 CPU - 0.063 wallclock seconds used.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 33/200, time_kick:0.199625, time_drift=0.202000.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:29\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 33/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Accelerations (short-range): 0.339 CPU - 0.048 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/200: Total Evolution: 0.407 CPU - 0.062 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 34/200, time_kick:0.204375, time_drift=0.206750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 34/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Accelerations (short-range): 0.344 CPU - 0.048 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/200: Total Evolution: 0.417 CPU - 0.063 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 35/200, time_kick:0.209125, time_drift=0.211500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 35/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Accelerations (short-range): 0.347 CPU - 0.049 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/200: Total Evolution: 0.418 CPU - 0.064 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 36/200, time_kick:0.213875, time_drift=0.216250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 36/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Accelerations (short-range): 0.374 CPU - 0.115 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/200: Total Evolution: 0.441 CPU - 0.129 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 37/200, time_kick:0.218625, time_drift=0.221000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 37/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Accelerations (short-range): 0.355 CPU - 0.050 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/200: Total Evolution: 0.425 CPU - 0.064 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 38/200, time_kick:0.223375, time_drift=0.225750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 38/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Accelerations (short-range): 0.355 CPU - 0.050 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/200: Total Evolution: 0.429 CPU - 0.065 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 39/200, time_kick:0.228125, time_drift=0.230500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 39/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Accelerations (long-range): 0.029 CPU - 0.007 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Accelerations (short-range): 0.366 CPU - 0.052 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/200: Total Evolution: 0.429 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 40/200, time_kick:0.232875, time_drift=0.235250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 40/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Density: 0.015 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Accelerations (short-range): 0.332 CPU - 0.053 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/200: Total Evolution: 0.393 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 41/200, time_kick:0.237625, time_drift=0.240000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 41/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Accelerations (short-range): 0.338 CPU - 0.053 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/200: Total Evolution: 0.402 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 42/200, time_kick:0.242375, time_drift=0.244750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 42/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Accelerations (short-range): 0.379 CPU - 0.053 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/200: Total Evolution: 0.455 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 43/200, time_kick:0.247125, time_drift=0.249500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 43/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Accelerations (short-range): 0.380 CPU - 0.054 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/200: Total Evolution: 0.444 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 44/200, time_kick:0.251875, time_drift=0.254250.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 44/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Accelerations (short-range): 0.383 CPU - 0.054 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/200: Total Evolution: 0.452 CPU - 0.068 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 45/200, time_kick:0.256625, time_drift=0.259000.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 45/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Accelerations (short-range): 0.392 CPU - 0.055 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/200: Total Evolution: 0.463 CPU - 0.070 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 46/200, time_kick:0.261375, time_drift=0.263750.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 46/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Accelerations (short-range): 0.394 CPU - 0.056 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/200: Total Evolution: 0.465 CPU - 0.070 wallclock seconds used.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 47/200, time_kick:0.266125, time_drift=0.268500.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:30\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 47/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Accelerations (short-range): 0.398 CPU - 0.057 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/200: Total Evolution: 0.468 CPU - 0.072 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 48/200, time_kick:0.270875, time_drift=0.273250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 48/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Accelerations (short-range): 0.396 CPU - 0.062 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/200: Total Evolution: 0.465 CPU - 0.076 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 49/200, time_kick:0.275625, time_drift=0.278000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 49/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Accelerations (short-range): 0.407 CPU - 0.057 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/200: Total Evolution: 0.473 CPU - 0.072 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 50/200, time_kick:0.280375, time_drift=0.282750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 50/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Accelerations (short-range): 0.413 CPU - 0.059 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/200: Total Evolution: 0.484 CPU - 0.074 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 51/200, time_kick:0.285125, time_drift=0.287500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 51/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Accelerations (short-range): 0.420 CPU - 0.060 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/200: Total Evolution: 0.493 CPU - 0.075 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 52/200, time_kick:0.289875, time_drift=0.292250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 52/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Accelerations (short-range): 0.420 CPU - 0.063 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/200: Total Evolution: 0.488 CPU - 0.077 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 53/200, time_kick:0.294625, time_drift=0.297000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 53/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Accelerations (short-range): 0.425 CPU - 0.061 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/200: Total Evolution: 0.495 CPU - 0.075 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 54/200, time_kick:0.299375, time_drift=0.301750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 54/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Accelerations (short-range): 0.437 CPU - 0.062 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/200: Total Evolution: 0.504 CPU - 0.077 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 55/200, time_kick:0.304125, time_drift=0.306500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 55/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Accelerations (short-range): 0.439 CPU - 0.065 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/200: Total Evolution: 0.513 CPU - 0.080 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 56/200, time_kick:0.308875, time_drift=0.311250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 56/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Accelerations (short-range): 0.446 CPU - 0.063 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/200: Total Evolution: 0.518 CPU - 0.078 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 57/200, time_kick:0.313625, time_drift=0.316000.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 57/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Accelerations (short-range): 0.451 CPU - 0.064 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/200: Total Evolution: 0.526 CPU - 0.078 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 58/200, time_kick:0.318375, time_drift=0.320750.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 58/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Accelerations (short-range): 0.457 CPU - 0.067 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/200: Total Evolution: 0.530 CPU - 0.082 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 59/200, time_kick:0.323125, time_drift=0.325500.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 59/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Accelerations (short-range): 0.451 CPU - 0.075 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/200: Total Evolution: 0.526 CPU - 0.090 wallclock seconds used.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 60/200, time_kick:0.327875, time_drift=0.330250.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:31\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 60/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Accelerations (short-range): 0.453 CPU - 0.070 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/200: Total Evolution: 0.527 CPU - 0.084 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 61/200, time_kick:0.332625, time_drift=0.335000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 61/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Accelerations (short-range): 0.457 CPU - 0.069 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/200: Total Evolution: 0.530 CPU - 0.084 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 62/200, time_kick:0.337375, time_drift=0.339750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 62/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Accelerations (short-range): 0.472 CPU - 0.071 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/200: Total Evolution: 0.544 CPU - 0.086 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 63/200, time_kick:0.342125, time_drift=0.344500.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 63/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Accelerations (short-range): 0.472 CPU - 0.074 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/200: Total Evolution: 0.539 CPU - 0.089 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 64/200, time_kick:0.346875, time_drift=0.349250.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 64/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Accelerations (short-range): 0.484 CPU - 0.074 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/200: Total Evolution: 0.557 CPU - 0.088 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 65/200, time_kick:0.351625, time_drift=0.354000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 65/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Accelerations (short-range): 0.490 CPU - 0.077 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/200: Total Evolution: 0.564 CPU - 0.092 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 66/200, time_kick:0.356375, time_drift=0.358750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 66/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Accelerations (short-range): 0.495 CPU - 0.080 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/200: Total Evolution: 0.570 CPU - 0.095 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 67/200, time_kick:0.361125, time_drift=0.363500.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 67/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Accelerations (short-range): 0.503 CPU - 0.081 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/200: Total Evolution: 0.575 CPU - 0.096 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 68/200, time_kick:0.365875, time_drift=0.368250.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 68/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Accelerations (short-range): 0.513 CPU - 0.086 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/200: Total Evolution: 0.588 CPU - 0.102 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 69/200, time_kick:0.370625, time_drift=0.373000.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 69/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Accelerations (short-range): 0.510 CPU - 0.085 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/200: Total Evolution: 0.583 CPU - 0.100 wallclock seconds used.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 70/200, time_kick:0.375375, time_drift=0.377750.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 70/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Accelerations (short-range): 0.515 CPU - 0.082 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/200: Total Evolution: 0.589 CPU - 0.096 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 71/200, time_kick:0.380125, time_drift=0.382500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 71/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Accelerations (short-range): 0.527 CPU - 0.089 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/200: Total Evolution: 0.601 CPU - 0.103 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 72/200, time_kick:0.384875, time_drift=0.387250.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 72/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Accelerations (short-range): 0.533 CPU - 0.086 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/200: Total Evolution: 0.608 CPU - 0.101 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 73/200, time_kick:0.389625, time_drift=0.392000.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 73/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Accelerations (short-range): 0.542 CPU - 0.083 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/200: Total Evolution: 0.618 CPU - 0.099 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 74/200, time_kick:0.394375, time_drift=0.396750.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 74/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Accelerations (short-range): 0.562 CPU - 0.155 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/200: Total Evolution: 0.635 CPU - 0.169 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 75/200, time_kick:0.399125, time_drift=0.401500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 75/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Accelerations (short-range): 0.554 CPU - 0.089 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/200: Total Evolution: 0.629 CPU - 0.103 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 76/200, time_kick:0.403875, time_drift=0.406250.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 76/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Accelerations (short-range): 0.557 CPU - 0.090 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/200: Total Evolution: 0.630 CPU - 0.105 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 77/200, time_kick:0.408625, time_drift=0.411000.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 77/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Accelerations (short-range): 0.569 CPU - 0.093 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/200: Total Evolution: 0.644 CPU - 0.108 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 78/200, time_kick:0.413375, time_drift=0.415750.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 78/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Accelerations (short-range): 0.583 CPU - 0.089 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/200: Total Evolution: 0.652 CPU - 0.103 wallclock seconds used.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 79/200, time_kick:0.418125, time_drift=0.420500.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:33\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 79/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Accelerations (short-range): 0.593 CPU - 0.103 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/200: Total Evolution: 0.667 CPU - 0.119 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 80/200, time_kick:0.422875, time_drift=0.425250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 80/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Accelerations (short-range): 0.592 CPU - 0.097 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/200: Total Evolution: 0.667 CPU - 0.113 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 81/200, time_kick:0.427625, time_drift=0.430000.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 81/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Accelerations (long-range): 0.031 CPU - 0.008 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Accelerations (short-range): 0.545 CPU - 0.107 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/200: Total Evolution: 0.612 CPU - 0.125 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 82/200, time_kick:0.432375, time_drift=0.434750.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 82/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Potential: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Accelerations (short-range): 0.613 CPU - 0.106 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/200: Total Evolution: 0.676 CPU - 0.122 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 83/200, time_kick:0.437125, time_drift=0.439500.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 83/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Accelerations (short-range): 0.623 CPU - 0.094 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/200: Total Evolution: 0.695 CPU - 0.109 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 84/200, time_kick:0.441875, time_drift=0.444250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 84/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Accelerations (short-range): 0.623 CPU - 0.099 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/200: Total Evolution: 0.688 CPU - 0.114 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 85/200, time_kick:0.446625, time_drift=0.449000.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 85/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Accelerations (short-range): 0.634 CPU - 0.104 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/200: Total Evolution: 0.701 CPU - 0.118 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 86/200, time_kick:0.451375, time_drift=0.453750.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 86/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Accelerations (short-range): 0.647 CPU - 0.094 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/200: Total Evolution: 0.719 CPU - 0.110 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 87/200, time_kick:0.456125, time_drift=0.458500.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 87/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Accelerations (short-range): 0.661 CPU - 0.102 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/200: Total Evolution: 0.737 CPU - 0.117 wallclock seconds used.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 88/200, time_kick:0.460875, time_drift=0.463250.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:34\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 88/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Accelerations (short-range): 0.669 CPU - 0.099 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/200: Total Evolution: 0.742 CPU - 0.114 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 89/200, time_kick:0.465625, time_drift=0.468000.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 89/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Accelerations (short-range): 0.666 CPU - 0.109 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/200: Total Evolution: 0.734 CPU - 0.124 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 90/200, time_kick:0.470375, time_drift=0.472750.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 90/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Accelerations (short-range): 0.685 CPU - 0.103 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/200: Total Evolution: 0.760 CPU - 0.118 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 91/200, time_kick:0.475125, time_drift=0.477500.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 91/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Accelerations (short-range): 0.691 CPU - 0.103 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/200: Total Evolution: 0.764 CPU - 0.118 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 92/200, time_kick:0.479875, time_drift=0.482250.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 92/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Accelerations (short-range): 0.687 CPU - 0.102 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/200: Total Evolution: 0.754 CPU - 0.116 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 93/200, time_kick:0.484625, time_drift=0.487000.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 93/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Accelerations (short-range): 0.694 CPU - 0.106 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/200: Total Evolution: 0.765 CPU - 0.122 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 94/200, time_kick:0.489375, time_drift=0.491750.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 94/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Accelerations (short-range): 0.698 CPU - 0.103 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/200: Total Evolution: 0.765 CPU - 0.118 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 95/200, time_kick:0.494125, time_drift=0.496500.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 95/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Accelerations (short-range): 0.720 CPU - 0.104 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/200: Total Evolution: 0.795 CPU - 0.119 wallclock seconds used.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 96/200, time_kick:0.498875, time_drift=0.501250.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:35\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 96/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Accelerations (short-range): 0.712 CPU - 0.107 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/200: Total Evolution: 0.779 CPU - 0.122 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 97/200, time_kick:0.503625, time_drift=0.506000.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 97/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Accelerations (long-range): 0.036 CPU - 0.016 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Accelerations (short-range): 0.741 CPU - 0.162 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/200: Total Evolution: 0.819 CPU - 0.187 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 98/200, time_kick:0.508375, time_drift=0.510750.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 98/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Accelerations (short-range): 0.724 CPU - 0.118 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/200: Total Evolution: 0.796 CPU - 0.133 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 99/200, time_kick:0.513125, time_drift=0.515500.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 99/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Accelerations (short-range): 0.716 CPU - 0.111 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/200: Total Evolution: 0.782 CPU - 0.125 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 100/200, time_kick:0.517875, time_drift=0.520250.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 100/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Accelerations (short-range): 0.736 CPU - 0.118 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/200: Total Evolution: 0.806 CPU - 0.134 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 101/200, time_kick:0.522625, time_drift=0.525000.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 101/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Accelerations (short-range): 0.747 CPU - 0.122 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 101/200: Total Evolution: 0.814 CPU - 0.137 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 102/200, time_kick:0.527375, time_drift=0.529750.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 102/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Accelerations (short-range): 0.729 CPU - 0.121 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 102/200: Total Evolution: 0.797 CPU - 0.136 wallclock seconds used.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 103/200, time_kick:0.532125, time_drift=0.534500.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:36\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 103/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Accelerations (short-range): 0.766 CPU - 0.125 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 103/200: Total Evolution: 0.836 CPU - 0.141 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 104/200, time_kick:0.536875, time_drift=0.539250.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 104/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Accelerations (short-range): 0.768 CPU - 0.126 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 104/200: Total Evolution: 0.837 CPU - 0.141 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 105/200, time_kick:0.541625, time_drift=0.544000.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 105/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Accelerations (short-range): 0.761 CPU - 0.121 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 105/200: Total Evolution: 0.836 CPU - 0.137 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 106/200, time_kick:0.546375, time_drift=0.548750.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 106/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Accelerations (short-range): 0.782 CPU - 0.133 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 106/200: Total Evolution: 0.855 CPU - 0.148 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 107/200, time_kick:0.551125, time_drift=0.553500.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 107/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Accelerations (short-range): 0.773 CPU - 0.134 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 107/200: Total Evolution: 0.847 CPU - 0.151 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 108/200, time_kick:0.555875, time_drift=0.558250.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 108/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Accelerations (short-range): 0.779 CPU - 0.138 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 108/200: Total Evolution: 0.844 CPU - 0.153 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 109/200, time_kick:0.560625, time_drift=0.563000.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 109/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Accelerations (short-range): 0.816 CPU - 0.129 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 109/200: Total Evolution: 0.883 CPU - 0.144 wallclock seconds used.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 110/200, time_kick:0.565375, time_drift=0.567750.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:37\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 110/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Accelerations (short-range): 0.789 CPU - 0.140 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 110/200: Total Evolution: 0.859 CPU - 0.154 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 111/200, time_kick:0.570125, time_drift=0.572500.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 111/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Accelerations (short-range): 0.821 CPU - 0.142 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 111/200: Total Evolution: 0.893 CPU - 0.157 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 112/200, time_kick:0.574875, time_drift=0.577250.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 112/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Accelerations (short-range): 0.842 CPU - 0.133 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 112/200: Total Evolution: 0.903 CPU - 0.147 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 113/200, time_kick:0.579625, time_drift=0.582000.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 113/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Accelerations (short-range): 0.837 CPU - 0.132 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 113/200: Total Evolution: 0.903 CPU - 0.148 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 114/200, time_kick:0.584375, time_drift=0.586750.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 114/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Accelerations (short-range): 0.848 CPU - 0.130 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 114/200: Total Evolution: 0.922 CPU - 0.145 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 115/200, time_kick:0.589125, time_drift=0.591500.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 115/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Accelerations (short-range): 0.850 CPU - 0.138 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 115/200: Total Evolution: 0.924 CPU - 0.154 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 116/200, time_kick:0.593875, time_drift=0.596250.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 116/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Accelerations (short-range): 0.839 CPU - 0.137 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 116/200: Total Evolution: 0.915 CPU - 0.153 wallclock seconds used.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 117/200, time_kick:0.598625, time_drift=0.601000.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:38\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 117/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Density: 0.028 CPU - 0.005 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Accelerations (short-range): 0.878 CPU - 0.136 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 117/200: Total Evolution: 0.957 CPU - 0.153 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 118/200, time_kick:0.603375, time_drift=0.605750.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 118/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Accelerations (short-range): 0.867 CPU - 0.142 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 118/200: Total Evolution: 0.941 CPU - 0.157 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 119/200, time_kick:0.608125, time_drift=0.610500.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 119/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Accelerations (short-range): 0.911 CPU - 0.203 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 119/200: Total Evolution: 0.986 CPU - 0.218 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 120/200, time_kick:0.612875, time_drift=0.615250.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 120/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Accelerations (short-range): 0.888 CPU - 0.138 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 120/200: Total Evolution: 0.962 CPU - 0.153 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 121/200, time_kick:0.617625, time_drift=0.620000.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 121/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Accelerations (short-range): 0.914 CPU - 0.142 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 121/200: Total Evolution: 0.987 CPU - 0.157 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 122/200, time_kick:0.622375, time_drift=0.624750.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 122/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Accelerations (short-range): 0.925 CPU - 0.139 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 122/200: Total Evolution: 0.995 CPU - 0.154 wallclock seconds used.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 123/200, time_kick:0.627125, time_drift=0.629500.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:39\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 123/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Accelerations (short-range): 0.884 CPU - 0.144 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 123/200: Total Evolution: 0.959 CPU - 0.158 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 124/200, time_kick:0.631875, time_drift=0.634250.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 124/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Density: 0.027 CPU - 0.004 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Accelerations (short-range): 0.921 CPU - 0.148 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 124/200: Total Evolution: 0.997 CPU - 0.163 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 125/200, time_kick:0.636625, time_drift=0.639000.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 125/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Accelerations (short-range): 0.922 CPU - 0.149 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 125/200: Total Evolution: 0.996 CPU - 0.164 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 126/200, time_kick:0.641375, time_drift=0.643750.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 126/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Density: 0.018 CPU - 0.003 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Accelerations (short-range): 0.932 CPU - 0.149 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 126/200: Total Evolution: 0.999 CPU - 0.164 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 127/200, time_kick:0.646125, time_drift=0.648500.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 127/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Density: 0.026 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Accelerations (short-range): 0.932 CPU - 0.153 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 127/200: Total Evolution: 1.006 CPU - 0.170 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 128/200, time_kick:0.650875, time_drift=0.653250.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 128/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Accelerations (short-range): 0.905 CPU - 0.156 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 128/200: Total Evolution: 0.979 CPU - 0.172 wallclock seconds used.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 129/200, time_kick:0.655625, time_drift=0.658000.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:40\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 129/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Accelerations (short-range): 0.942 CPU - 0.162 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 129/200: Total Evolution: 1.013 CPU - 0.177 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 130/200, time_kick:0.660375, time_drift=0.662750.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 130/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Accelerations (short-range): 0.944 CPU - 0.160 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 130/200: Total Evolution: 1.018 CPU - 0.175 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 131/200, time_kick:0.665125, time_drift=0.667500.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 131/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Accelerations (short-range): 0.942 CPU - 0.159 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 131/200: Total Evolution: 1.016 CPU - 0.175 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 132/200, time_kick:0.669875, time_drift=0.672250.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 132/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Accelerations (short-range): 0.968 CPU - 0.173 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 132/200: Total Evolution: 1.038 CPU - 0.187 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 133/200, time_kick:0.674625, time_drift=0.677000.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 133/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Accelerations (short-range): 0.964 CPU - 0.167 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 133/200: Total Evolution: 1.031 CPU - 0.181 wallclock seconds used.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 134/200, time_kick:0.679375, time_drift=0.681750.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:41\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 134/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Accelerations (short-range): 0.972 CPU - 0.163 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 134/200: Total Evolution: 1.045 CPU - 0.179 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 135/200, time_kick:0.684125, time_drift=0.686500.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 135/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Accelerations (short-range): 0.964 CPU - 0.176 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 135/200: Total Evolution: 1.041 CPU - 0.193 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 136/200, time_kick:0.688875, time_drift=0.691250.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 136/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Accelerations (short-range): 0.974 CPU - 0.170 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 136/200: Total Evolution: 1.048 CPU - 0.185 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 137/200, time_kick:0.693625, time_drift=0.696000.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 137/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Density: 0.018 CPU - 0.005 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Accelerations (short-range): 0.977 CPU - 0.170 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 137/200: Total Evolution: 1.044 CPU - 0.185 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 138/200, time_kick:0.698375, time_drift=0.700750.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 138/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Accelerations (short-range): 0.975 CPU - 0.177 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 138/200: Total Evolution: 1.052 CPU - 0.193 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 139/200, time_kick:0.703125, time_drift=0.705500.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 139/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Accelerations (short-range): 0.982 CPU - 0.183 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 139/200: Total Evolution: 1.055 CPU - 0.197 wallclock seconds used.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 140/200, time_kick:0.707875, time_drift=0.710250.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:42\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 140/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Accelerations (short-range): 1.009 CPU - 0.182 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 140/200: Total Evolution: 1.081 CPU - 0.197 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 141/200, time_kick:0.712625, time_drift=0.715000.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 141/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Accelerations (short-range): 0.989 CPU - 0.191 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 141/200: Total Evolution: 1.064 CPU - 0.206 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 142/200, time_kick:0.717375, time_drift=0.719750.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 142/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Accelerations (short-range): 1.028 CPU - 0.247 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 142/200: Total Evolution: 1.102 CPU - 0.263 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 143/200, time_kick:0.722125, time_drift=0.724500.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 143/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Accelerations (short-range): 0.992 CPU - 0.181 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 143/200: Total Evolution: 1.063 CPU - 0.196 wallclock seconds used.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 144/200, time_kick:0.726875, time_drift=0.729250.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:43\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 144/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Potential: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Accelerations (short-range): 0.992 CPU - 0.194 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 144/200: Total Evolution: 1.064 CPU - 0.209 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 145/200, time_kick:0.731625, time_drift=0.734000.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 145/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Density: 0.029 CPU - 0.005 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Accelerations (short-range): 0.989 CPU - 0.197 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 145/200: Total Evolution: 1.068 CPU - 0.213 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 146/200, time_kick:0.736375, time_drift=0.738750.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 146/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Density: 0.022 CPU - 0.005 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Accelerations (short-range): 1.008 CPU - 0.188 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 146/200: Total Evolution: 1.079 CPU - 0.204 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 147/200, time_kick:0.741125, time_drift=0.743500.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 147/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Accelerations (short-range): 1.009 CPU - 0.185 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 147/200: Total Evolution: 1.081 CPU - 0.200 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 148/200, time_kick:0.745875, time_drift=0.748250.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 148/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Accelerations (short-range): 1.018 CPU - 0.198 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 148/200: Total Evolution: 1.092 CPU - 0.214 wallclock seconds used.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 149/200, time_kick:0.750625, time_drift=0.753000.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:44\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 149/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Accelerations (short-range): 1.016 CPU - 0.197 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 149/200: Total Evolution: 1.090 CPU - 0.213 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 150/200, time_kick:0.755375, time_drift=0.757750.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 150/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Accelerations (short-range): 1.014 CPU - 0.191 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 150/200: Total Evolution: 1.085 CPU - 0.206 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 151/200, time_kick:0.760125, time_drift=0.762500.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 151/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Accelerations (short-range): 1.040 CPU - 0.200 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 151/200: Total Evolution: 1.116 CPU - 0.215 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 152/200, time_kick:0.764875, time_drift=0.767250.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 152/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Accelerations (short-range): 1.040 CPU - 0.192 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 152/200: Total Evolution: 1.106 CPU - 0.207 wallclock seconds used.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 153/200, time_kick:0.769625, time_drift=0.772000.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:45\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 153/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Accelerations (short-range): 1.071 CPU - 0.264 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 153/200: Total Evolution: 1.146 CPU - 0.280 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 154/200, time_kick:0.774375, time_drift=0.776750.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 154/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Density: 0.030 CPU - 0.006 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Accelerations (short-range): 1.029 CPU - 0.206 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 154/200: Total Evolution: 1.108 CPU - 0.222 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 155/200, time_kick:0.779125, time_drift=0.781500.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 155/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Accelerations (short-range): 1.044 CPU - 0.208 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 155/200: Total Evolution: 1.112 CPU - 0.222 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 156/200, time_kick:0.783875, time_drift=0.786250.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 156/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Density: 0.028 CPU - 0.005 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Accelerations (short-range): 1.058 CPU - 0.204 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 156/200: Total Evolution: 1.136 CPU - 0.221 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 157/200, time_kick:0.788625, time_drift=0.791000.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 157/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Accelerations (short-range): 1.065 CPU - 0.202 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 157/200: Total Evolution: 1.142 CPU - 0.218 wallclock seconds used.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 158/200, time_kick:0.793375, time_drift=0.795750.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:46\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 158/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Density: 0.021 CPU - 0.005 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Accelerations (short-range): 1.048 CPU - 0.202 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 158/200: Total Evolution: 1.119 CPU - 0.218 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 159/200, time_kick:0.798125, time_drift=0.800500.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 159/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Density: 0.027 CPU - 0.006 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Accelerations (short-range): 1.052 CPU - 0.207 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 159/200: Total Evolution: 1.129 CPU - 0.224 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 160/200, time_kick:0.802875, time_drift=0.805250.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 160/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Accelerations (short-range): 1.065 CPU - 0.203 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 160/200: Total Evolution: 1.134 CPU - 0.218 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 161/200, time_kick:0.807625, time_drift=0.810000.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 161/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Accelerations (short-range): 1.074 CPU - 0.212 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 161/200: Total Evolution: 1.152 CPU - 0.229 wallclock seconds used.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 162/200, time_kick:0.812375, time_drift=0.814750.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:47\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 162/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Accelerations (short-range): 1.091 CPU - 0.214 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 162/200: Total Evolution: 1.167 CPU - 0.230 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 163/200, time_kick:0.817125, time_drift=0.819500.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 163/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Accelerations (long-range): 0.038 CPU - 0.013 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Accelerations (short-range): 1.103 CPU - 0.268 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Kick: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 163/200: Total Evolution: 1.182 CPU - 0.291 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 164/200, time_kick:0.821875, time_drift=0.824250.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 164/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Accelerations (short-range): 1.072 CPU - 0.211 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 164/200: Total Evolution: 1.140 CPU - 0.226 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 165/200, time_kick:0.826625, time_drift=0.829000.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 165/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Density: 0.022 CPU - 0.005 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Accelerations (short-range): 1.112 CPU - 0.224 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 165/200: Total Evolution: 1.184 CPU - 0.240 wallclock seconds used.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 166/200, time_kick:0.831375, time_drift=0.833750.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:48\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 166/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Accelerations (short-range): 1.102 CPU - 0.224 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 166/200: Total Evolution: 1.171 CPU - 0.239 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 167/200, time_kick:0.836125, time_drift=0.838500.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 167/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Density: 0.027 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Accelerations (short-range): 1.096 CPU - 0.217 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 167/200: Total Evolution: 1.173 CPU - 0.234 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 168/200, time_kick:0.840875, time_drift=0.843250.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 168/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Accelerations (short-range): 1.128 CPU - 0.223 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 168/200: Total Evolution: 1.194 CPU - 0.237 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 169/200, time_kick:0.845625, time_drift=0.848000.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 169/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Accelerations (short-range): 1.115 CPU - 0.224 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 169/200: Total Evolution: 1.189 CPU - 0.240 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 170/200, time_kick:0.850375, time_drift=0.852750.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 170/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Density: 0.026 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Accelerations (short-range): 1.121 CPU - 0.216 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 170/200: Total Evolution: 1.196 CPU - 0.233 wallclock seconds used.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 171/200, time_kick:0.855125, time_drift=0.857500.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:49\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 171/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Accelerations (short-range): 1.125 CPU - 0.217 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 171/200: Total Evolution: 1.189 CPU - 0.231 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 172/200, time_kick:0.859875, time_drift=0.862250.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 172/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Density: 0.022 CPU - 0.005 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Accelerations (short-range): 1.134 CPU - 0.225 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 172/200: Total Evolution: 1.205 CPU - 0.240 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 173/200, time_kick:0.864625, time_drift=0.867000.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 173/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Accelerations (short-range): 1.135 CPU - 0.228 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 173/200: Total Evolution: 1.202 CPU - 0.242 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 174/200, time_kick:0.869375, time_drift=0.871750.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 174/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Accelerations (short-range): 1.162 CPU - 0.289 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 174/200: Total Evolution: 1.236 CPU - 0.305 wallclock seconds used.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 175/200, time_kick:0.874125, time_drift=0.876500.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:50\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 175/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Accelerations (short-range): 1.144 CPU - 0.221 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 175/200: Total Evolution: 1.222 CPU - 0.238 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 176/200, time_kick:0.878875, time_drift=0.881250.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 176/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Density: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Accelerations (short-range): 1.147 CPU - 0.230 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 176/200: Total Evolution: 1.210 CPU - 0.244 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 177/200, time_kick:0.883625, time_drift=0.886000.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 177/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Accelerations (short-range): 1.165 CPU - 0.223 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 177/200: Total Evolution: 1.241 CPU - 0.238 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 178/200, time_kick:0.888375, time_drift=0.890750.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 178/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Density: 0.026 CPU - 0.006 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Accelerations (short-range): 1.157 CPU - 0.221 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 178/200: Total Evolution: 1.232 CPU - 0.237 wallclock seconds used.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 179/200, time_kick:0.893125, time_drift=0.895500.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:51\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 179/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Density: 0.015 CPU - 0.004 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Accelerations (short-range): 1.154 CPU - 0.228 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 179/200: Total Evolution: 1.219 CPU - 0.244 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 180/200, time_kick:0.897875, time_drift=0.900250.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 180/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Accelerations (short-range): 1.154 CPU - 0.229 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 180/200: Total Evolution: 1.228 CPU - 0.245 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 181/200, time_kick:0.902625, time_drift=0.905000.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 181/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Accelerations (short-range): 1.156 CPU - 0.236 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 181/200: Total Evolution: 1.226 CPU - 0.251 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 182/200, time_kick:0.907375, time_drift=0.909750.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 182/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Accelerations (short-range): 1.154 CPU - 0.242 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 182/200: Total Evolution: 1.229 CPU - 0.257 wallclock seconds used.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 183/200, time_kick:0.912125, time_drift=0.914500.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:52\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 183/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Density: 0.020 CPU - 0.005 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Accelerations (short-range): 1.204 CPU - 0.239 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 183/200: Total Evolution: 1.273 CPU - 0.256 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 184/200, time_kick:0.916875, time_drift=0.919250.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 184/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Accelerations (short-range): 1.195 CPU - 0.292 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 184/200: Total Evolution: 1.265 CPU - 0.306 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 185/200, time_kick:0.921625, time_drift=0.924000.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 185/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Accelerations (short-range): 1.181 CPU - 0.244 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 185/200: Total Evolution: 1.256 CPU - 0.261 wallclock seconds used.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 186/200, time_kick:0.926375, time_drift=0.928750.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:53\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 186/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Accelerations (short-range): 1.186 CPU - 0.235 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 186/200: Total Evolution: 1.261 CPU - 0.251 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 187/200, time_kick:0.931125, time_drift=0.933500.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 187/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Accelerations (short-range): 1.190 CPU - 0.244 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 187/200: Total Evolution: 1.262 CPU - 0.259 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 188/200, time_kick:0.935875, time_drift=0.938250.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 188/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Density: 0.018 CPU - 0.005 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Accelerations (short-range): 1.184 CPU - 0.238 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 188/200: Total Evolution: 1.252 CPU - 0.254 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 189/200, time_kick:0.940625, time_drift=0.943000.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 189/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Accelerations (short-range): 1.195 CPU - 0.240 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 189/200: Total Evolution: 1.270 CPU - 0.256 wallclock seconds used.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 190/200, time_kick:0.945375, time_drift=0.947750.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:54\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 190/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Accelerations (short-range): 1.210 CPU - 0.234 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 190/200: Total Evolution: 1.285 CPU - 0.250 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 191/200, time_kick:0.950125, time_drift=0.952500.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 191/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Accelerations (short-range): 1.190 CPU - 0.245 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 191/200: Total Evolution: 1.265 CPU - 0.261 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 192/200, time_kick:0.954875, time_drift=0.957250.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 192/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Accelerations (short-range): 1.205 CPU - 0.247 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 192/200: Total Evolution: 1.280 CPU - 0.263 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 193/200, time_kick:0.959625, time_drift=0.962000.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 193/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Accelerations (short-range): 1.210 CPU - 0.241 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 193/200: Total Evolution: 1.286 CPU - 0.257 wallclock seconds used.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 194/200, time_kick:0.964375, time_drift=0.966750.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:55\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 194/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Potential: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Accelerations (short-range): 1.208 CPU - 0.241 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 194/200: Total Evolution: 1.285 CPU - 0.257 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 195/200, time_kick:0.969125, time_drift=0.971500.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 195/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Density: 0.025 CPU - 0.006 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Accelerations (short-range): 1.251 CPU - 0.307 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 195/200: Total Evolution: 1.326 CPU - 0.325 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 196/200, time_kick:0.973875, time_drift=0.976250.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 196/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Potential: 0.010 CPU - 0.004 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Accelerations (short-range): 1.228 CPU - 0.244 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 196/200: Total Evolution: 1.306 CPU - 0.260 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 197/200, time_kick:0.978625, time_drift=0.981000.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 197/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Accelerations (short-range): 1.225 CPU - 0.249 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 197/200: Total Evolution: 1.302 CPU - 0.265 wallclock seconds used.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 198/200, time_kick:0.983375, time_drift=0.985750.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:56\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 198/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Accelerations (short-range): 1.229 CPU - 0.255 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 198/200: Total Evolution: 1.298 CPU - 0.269 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 199/200, time_kick:0.988125, time_drift=0.990500.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 199/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Accelerations (short-range): 1.246 CPU - 0.249 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 199/200: Total Evolution: 1.320 CPU - 0.265 wallclock seconds used.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 200/200, time_kick:0.992875, time_drift=0.995250.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:57\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 200/200, time_kick:1.000000, time_drift=1.000000.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Density: 0.053 CPU - 0.009 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Potential: 0.017 CPU - 0.006 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Accelerations (long-range): 0.066 CPU - 0.013 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Accelerations (short-range): 2.466 CPU - 0.518 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Kick: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 200/200: Total Evolution: 2.617 CPU - 0.549 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 4.495 CPU - 0.837 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 1.630 CPU - 0.509 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 6.608 CPU - 1.312 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 148.192 CPU - 26.693 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 1.255 CPU - 0.279 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.336 CPU - 0.110 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 162.516 CPU - 29.740 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5'...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_p3m_snapshot.gadget3'...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_p3m_snapshot.gadget3' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_p3m_snapshot.gadget3' (32768 particles)...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_p3m_snapshot.gadget3' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.361 CPU - 0.165 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 163.003 CPU - 30.008 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 170.211 CPU - 31.262 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:33:58\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy /Users/hoellinger/WIP3M/ts2/logs/p3m2_nsteps100p3m.txt\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:33:58\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:33:58: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy'...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_example_p3m.sbmy' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.015 CPU - 0.021 wallclock seconds used.\n", + "[22:33:58\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:58\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.280 CPU - 1.197 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.296 CPU - 1.219 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5'...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m2_nsteps100_ts_p3m.h5' done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/ts2/force_diagnostic_p3m2.txt\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 1/100, time_kick:0.050000, time_drift=0.050000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 1/100, time_kick:0.054750, time_drift=0.059500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Accelerations (short-range): 0.273 CPU - 0.038 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/100: Total Evolution: 0.340 CPU - 0.052 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 2/100, time_kick:0.054750, time_drift=0.059500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 2/100, time_kick:0.064250, time_drift=0.069000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Accelerations (short-range): 0.276 CPU - 0.039 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/100: Total Evolution: 0.345 CPU - 0.053 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 3/100, time_kick:0.064250, time_drift=0.069000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 3/100, time_kick:0.073750, time_drift=0.078500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Accelerations (short-range): 0.276 CPU - 0.039 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/100: Total Evolution: 0.344 CPU - 0.053 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 4/100, time_kick:0.073750, time_drift=0.078500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 4/100, time_kick:0.083250, time_drift=0.088000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Potential: 0.009 CPU - 0.008 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Accelerations (short-range): 0.280 CPU - 0.039 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/100: Total Evolution: 0.354 CPU - 0.058 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 5/100, time_kick:0.083250, time_drift=0.088000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 5/100, time_kick:0.092750, time_drift=0.097500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Density: 0.017 CPU - 0.005 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Accelerations (short-range): 0.284 CPU - 0.040 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/100: Total Evolution: 0.349 CPU - 0.055 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 6/100, time_kick:0.092750, time_drift=0.097500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 6/100, time_kick:0.102250, time_drift=0.107000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Accelerations (short-range): 0.285 CPU - 0.040 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/100: Total Evolution: 0.354 CPU - 0.054 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 7/100, time_kick:0.102250, time_drift=0.107000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 7/100, time_kick:0.111750, time_drift=0.116500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Accelerations (short-range): 0.287 CPU - 0.040 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/100: Total Evolution: 0.356 CPU - 0.055 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 8/100, time_kick:0.111750, time_drift=0.116500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 8/100, time_kick:0.121250, time_drift=0.126000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Accelerations (short-range): 0.291 CPU - 0.041 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/100: Total Evolution: 0.365 CPU - 0.056 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 9/100, time_kick:0.121250, time_drift=0.126000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 9/100, time_kick:0.130750, time_drift=0.135500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Accelerations (short-range): 0.294 CPU - 0.042 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/100: Total Evolution: 0.360 CPU - 0.057 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 10/100, time_kick:0.130750, time_drift=0.135500.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 10/100, time_kick:0.140250, time_drift=0.145000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Accelerations (short-range): 0.300 CPU - 0.043 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/100: Total Evolution: 0.370 CPU - 0.058 wallclock seconds used.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 11/100, time_kick:0.140250, time_drift=0.145000.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:33:59\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 11/100, time_kick:0.149750, time_drift=0.154500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Accelerations (long-range): 0.029 CPU - 0.008 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Accelerations (short-range): 0.281 CPU - 0.044 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Kick: 0.005 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/100: Total Evolution: 0.349 CPU - 0.061 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 12/100, time_kick:0.149750, time_drift=0.154500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 12/100, time_kick:0.159250, time_drift=0.164000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Density: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Potential: 0.010 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Accelerations (short-range): 0.311 CPU - 0.044 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/100: Total Evolution: 0.374 CPU - 0.060 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 13/100, time_kick:0.159250, time_drift=0.164000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 13/100, time_kick:0.168750, time_drift=0.173500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Accelerations (short-range): 0.316 CPU - 0.044 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/100: Total Evolution: 0.387 CPU - 0.059 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 14/100, time_kick:0.168750, time_drift=0.173500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 14/100, time_kick:0.178250, time_drift=0.183000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Density: 0.021 CPU - 0.005 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Accelerations (short-range): 0.322 CPU - 0.045 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/100: Total Evolution: 0.392 CPU - 0.060 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 15/100, time_kick:0.178250, time_drift=0.183000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 15/100, time_kick:0.187750, time_drift=0.192500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Accelerations (short-range): 0.328 CPU - 0.046 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/100: Total Evolution: 0.398 CPU - 0.060 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 16/100, time_kick:0.187750, time_drift=0.192500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 16/100, time_kick:0.197250, time_drift=0.202000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Accelerations (short-range): 0.333 CPU - 0.048 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/100: Total Evolution: 0.402 CPU - 0.062 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 17/100, time_kick:0.197250, time_drift=0.202000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 17/100, time_kick:0.206750, time_drift=0.211500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Density: 0.021 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Accelerations (short-range): 0.336 CPU - 0.049 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/100: Total Evolution: 0.403 CPU - 0.065 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 18/100, time_kick:0.206750, time_drift=0.211500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 18/100, time_kick:0.216250, time_drift=0.221000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Accelerations (short-range): 0.340 CPU - 0.053 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/100: Total Evolution: 0.399 CPU - 0.068 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 19/100, time_kick:0.216250, time_drift=0.221000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 19/100, time_kick:0.225750, time_drift=0.230500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Density: 0.021 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Accelerations (long-range): 0.030 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Accelerations (short-range): 0.316 CPU - 0.053 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Drift: 0.001 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/100: Total Evolution: 0.382 CPU - 0.068 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 20/100, time_kick:0.225750, time_drift=0.230500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 20/100, time_kick:0.235250, time_drift=0.240000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Density: 0.011 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Accelerations (long-range): 0.031 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Accelerations (short-range): 0.329 CPU - 0.061 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/100: Total Evolution: 0.386 CPU - 0.076 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 21/100, time_kick:0.235250, time_drift=0.240000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 21/100, time_kick:0.244750, time_drift=0.249500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Density: 0.012 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Accelerations (short-range): 0.386 CPU - 0.063 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 21/100: Total Evolution: 0.447 CPU - 0.079 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 22/100, time_kick:0.244750, time_drift=0.249500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 22/100, time_kick:0.254250, time_drift=0.259000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Accelerations (short-range): 0.392 CPU - 0.064 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 22/100: Total Evolution: 0.458 CPU - 0.080 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 23/100, time_kick:0.254250, time_drift=0.259000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 23/100, time_kick:0.263750, time_drift=0.268500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Accelerations (short-range): 0.404 CPU - 0.067 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 23/100: Total Evolution: 0.474 CPU - 0.084 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 24/100, time_kick:0.263750, time_drift=0.268500.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 24/100, time_kick:0.273250, time_drift=0.278000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Density: 0.023 CPU - 0.006 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Accelerations (short-range): 0.416 CPU - 0.068 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 24/100: Total Evolution: 0.488 CPU - 0.086 wallclock seconds used.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 25/100, time_kick:0.273250, time_drift=0.278000.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:00\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 25/100, time_kick:0.282750, time_drift=0.287500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Density: 0.016 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Accelerations (short-range): 0.427 CPU - 0.069 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 25/100: Total Evolution: 0.493 CPU - 0.084 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 26/100, time_kick:0.282750, time_drift=0.287500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 26/100, time_kick:0.292250, time_drift=0.297000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Density: 0.021 CPU - 0.005 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Accelerations (short-range): 0.432 CPU - 0.073 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 26/100: Total Evolution: 0.503 CPU - 0.090 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 27/100, time_kick:0.292250, time_drift=0.297000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 27/100, time_kick:0.301750, time_drift=0.306500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Density: 0.024 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Accelerations (short-range): 0.441 CPU - 0.073 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 27/100: Total Evolution: 0.515 CPU - 0.091 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 28/100, time_kick:0.301750, time_drift=0.306500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 28/100, time_kick:0.311250, time_drift=0.316000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Accelerations (short-range): 0.444 CPU - 0.071 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 28/100: Total Evolution: 0.517 CPU - 0.088 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 29/100, time_kick:0.311250, time_drift=0.316000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 29/100, time_kick:0.320750, time_drift=0.325500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Density: 0.024 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Accelerations (short-range): 0.454 CPU - 0.064 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 29/100: Total Evolution: 0.528 CPU - 0.081 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 30/100, time_kick:0.320750, time_drift=0.325500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 30/100, time_kick:0.330250, time_drift=0.335000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Accelerations (short-range): 0.463 CPU - 0.066 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 30/100: Total Evolution: 0.530 CPU - 0.081 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 31/100, time_kick:0.330250, time_drift=0.335000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 31/100, time_kick:0.339750, time_drift=0.344500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Accelerations (short-range): 0.489 CPU - 0.137 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 31/100: Total Evolution: 0.562 CPU - 0.152 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 32/100, time_kick:0.339750, time_drift=0.344500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 32/100, time_kick:0.349250, time_drift=0.354000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Accelerations (short-range): 0.486 CPU - 0.077 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 32/100: Total Evolution: 0.558 CPU - 0.092 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 33/100, time_kick:0.349250, time_drift=0.354000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 33/100, time_kick:0.358750, time_drift=0.363500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Accelerations (short-range): 0.480 CPU - 0.082 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Kick: 0.006 CPU - 0.002 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 33/100: Total Evolution: 0.553 CPU - 0.097 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 34/100, time_kick:0.358750, time_drift=0.363500.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 34/100, time_kick:0.368250, time_drift=0.373000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Accelerations (short-range): 0.500 CPU - 0.079 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 34/100: Total Evolution: 0.575 CPU - 0.095 wallclock seconds used.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 35/100, time_kick:0.368250, time_drift=0.373000.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:01\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 35/100, time_kick:0.377750, time_drift=0.382500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Accelerations (short-range): 0.514 CPU - 0.088 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 35/100: Total Evolution: 0.589 CPU - 0.103 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 36/100, time_kick:0.377750, time_drift=0.382500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 36/100, time_kick:0.387250, time_drift=0.392000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Accelerations (short-range): 0.533 CPU - 0.081 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 36/100: Total Evolution: 0.608 CPU - 0.097 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 37/100, time_kick:0.387250, time_drift=0.392000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 37/100, time_kick:0.396750, time_drift=0.401500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Accelerations (short-range): 0.547 CPU - 0.091 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 37/100: Total Evolution: 0.621 CPU - 0.106 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 38/100, time_kick:0.396750, time_drift=0.401500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 38/100, time_kick:0.406250, time_drift=0.411000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Accelerations (short-range): 0.549 CPU - 0.088 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 38/100: Total Evolution: 0.623 CPU - 0.103 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 39/100, time_kick:0.406250, time_drift=0.411000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 39/100, time_kick:0.415750, time_drift=0.420500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Accelerations (short-range): 0.567 CPU - 0.096 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 39/100: Total Evolution: 0.644 CPU - 0.113 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 40/100, time_kick:0.415750, time_drift=0.420500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 40/100, time_kick:0.425250, time_drift=0.430000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Accelerations (short-range): 0.585 CPU - 0.093 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 40/100: Total Evolution: 0.659 CPU - 0.109 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 41/100, time_kick:0.425250, time_drift=0.430000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 41/100, time_kick:0.434750, time_drift=0.439500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Accelerations (short-range): 0.605 CPU - 0.093 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 41/100: Total Evolution: 0.676 CPU - 0.109 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 42/100, time_kick:0.434750, time_drift=0.439500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 42/100, time_kick:0.444250, time_drift=0.449000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Accelerations (short-range): 0.633 CPU - 0.098 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 42/100: Total Evolution: 0.706 CPU - 0.113 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 43/100, time_kick:0.444250, time_drift=0.449000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 43/100, time_kick:0.453750, time_drift=0.458500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Density: 0.028 CPU - 0.005 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Accelerations (short-range): 0.646 CPU - 0.095 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 43/100: Total Evolution: 0.722 CPU - 0.111 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 44/100, time_kick:0.453750, time_drift=0.458500.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 44/100, time_kick:0.463250, time_drift=0.468000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Accelerations (short-range): 0.668 CPU - 0.098 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 44/100: Total Evolution: 0.744 CPU - 0.113 wallclock seconds used.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 45/100, time_kick:0.463250, time_drift=0.468000.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:02\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 45/100, time_kick:0.472750, time_drift=0.477500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Accelerations (short-range): 0.676 CPU - 0.109 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 45/100: Total Evolution: 0.752 CPU - 0.125 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 46/100, time_kick:0.472750, time_drift=0.477500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 46/100, time_kick:0.482250, time_drift=0.487000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Accelerations (short-range): 0.695 CPU - 0.104 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 46/100: Total Evolution: 0.770 CPU - 0.120 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 47/100, time_kick:0.482250, time_drift=0.487000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 47/100, time_kick:0.491750, time_drift=0.496500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Accelerations (short-range): 0.723 CPU - 0.104 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 47/100: Total Evolution: 0.801 CPU - 0.121 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 48/100, time_kick:0.491750, time_drift=0.496500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 48/100, time_kick:0.501250, time_drift=0.506000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Accelerations (short-range): 0.733 CPU - 0.108 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 48/100: Total Evolution: 0.807 CPU - 0.124 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 49/100, time_kick:0.501250, time_drift=0.506000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 49/100, time_kick:0.510750, time_drift=0.515500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Accelerations (short-range): 0.712 CPU - 0.113 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 49/100: Total Evolution: 0.788 CPU - 0.130 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 50/100, time_kick:0.510750, time_drift=0.515500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 50/100, time_kick:0.520250, time_drift=0.525000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Accelerations (short-range): 0.746 CPU - 0.113 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 50/100: Total Evolution: 0.821 CPU - 0.128 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 51/100, time_kick:0.520250, time_drift=0.525000.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 51/100, time_kick:0.529750, time_drift=0.534500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Accelerations (short-range): 0.772 CPU - 0.113 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 51/100: Total Evolution: 0.847 CPU - 0.130 wallclock seconds used.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 52/100, time_kick:0.529750, time_drift=0.534500.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:03\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 52/100, time_kick:0.539250, time_drift=0.544000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Density: 0.013 CPU - 0.004 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Accelerations (short-range): 0.786 CPU - 0.186 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 52/100: Total Evolution: 0.848 CPU - 0.200 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 53/100, time_kick:0.539250, time_drift=0.544000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 53/100, time_kick:0.548750, time_drift=0.553500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Density: 0.020 CPU - 0.005 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Accelerations (short-range): 0.802 CPU - 0.121 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 53/100: Total Evolution: 0.871 CPU - 0.137 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 54/100, time_kick:0.548750, time_drift=0.553500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 54/100, time_kick:0.558250, time_drift=0.563000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Potential: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Accelerations (short-range): 0.794 CPU - 0.129 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 54/100: Total Evolution: 0.871 CPU - 0.144 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 55/100, time_kick:0.558250, time_drift=0.563000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 55/100, time_kick:0.567750, time_drift=0.572500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Density: 0.020 CPU - 0.005 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Accelerations (short-range): 0.818 CPU - 0.130 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 55/100: Total Evolution: 0.888 CPU - 0.146 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 56/100, time_kick:0.567750, time_drift=0.572500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 56/100, time_kick:0.577250, time_drift=0.582000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Accelerations (short-range): 0.844 CPU - 0.131 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 56/100: Total Evolution: 0.918 CPU - 0.147 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 57/100, time_kick:0.577250, time_drift=0.582000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 57/100, time_kick:0.586750, time_drift=0.591500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Accelerations (short-range): 0.861 CPU - 0.138 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 57/100: Total Evolution: 0.935 CPU - 0.154 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 58/100, time_kick:0.586750, time_drift=0.591500.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 58/100, time_kick:0.596250, time_drift=0.601000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Accelerations (short-range): 0.861 CPU - 0.131 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 58/100: Total Evolution: 0.937 CPU - 0.148 wallclock seconds used.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 59/100, time_kick:0.596250, time_drift=0.601000.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:04\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 59/100, time_kick:0.605750, time_drift=0.610500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Accelerations (short-range): 0.887 CPU - 0.137 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 59/100: Total Evolution: 0.961 CPU - 0.151 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 60/100, time_kick:0.605750, time_drift=0.610500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 60/100, time_kick:0.615250, time_drift=0.620000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Accelerations (short-range): 0.879 CPU - 0.139 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 60/100: Total Evolution: 0.955 CPU - 0.155 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 61/100, time_kick:0.615250, time_drift=0.620000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 61/100, time_kick:0.624750, time_drift=0.629500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Accelerations (short-range): 0.904 CPU - 0.144 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 61/100: Total Evolution: 0.981 CPU - 0.160 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 62/100, time_kick:0.624750, time_drift=0.629500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 62/100, time_kick:0.634250, time_drift=0.639000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Density: 0.018 CPU - 0.004 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Accelerations (short-range): 0.914 CPU - 0.144 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 62/100: Total Evolution: 0.981 CPU - 0.159 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 63/100, time_kick:0.634250, time_drift=0.639000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 63/100, time_kick:0.643750, time_drift=0.648500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Accelerations (short-range): 0.910 CPU - 0.161 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 63/100: Total Evolution: 0.982 CPU - 0.176 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 64/100, time_kick:0.643750, time_drift=0.648500.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 64/100, time_kick:0.653250, time_drift=0.658000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Density: 0.023 CPU - 0.005 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Accelerations (short-range): 0.946 CPU - 0.150 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 64/100: Total Evolution: 1.018 CPU - 0.165 wallclock seconds used.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 65/100, time_kick:0.653250, time_drift=0.658000.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:05\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 65/100, time_kick:0.662750, time_drift=0.667500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Accelerations (short-range): 0.930 CPU - 0.154 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 65/100: Total Evolution: 1.005 CPU - 0.170 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 66/100, time_kick:0.662750, time_drift=0.667500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 66/100, time_kick:0.672250, time_drift=0.677000.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Accelerations (short-range): 0.930 CPU - 0.172 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 66/100: Total Evolution: 1.004 CPU - 0.188 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 67/100, time_kick:0.672250, time_drift=0.677000.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 67/100, time_kick:0.681750, time_drift=0.686500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Accelerations (short-range): 0.969 CPU - 0.168 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 67/100: Total Evolution: 1.042 CPU - 0.183 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 68/100, time_kick:0.681750, time_drift=0.686500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 68/100, time_kick:0.691250, time_drift=0.696000.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Density: 0.027 CPU - 0.004 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Accelerations (short-range): 0.979 CPU - 0.171 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 68/100: Total Evolution: 1.056 CPU - 0.187 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 69/100, time_kick:0.691250, time_drift=0.696000.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 69/100, time_kick:0.700750, time_drift=0.705500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Accelerations (short-range): 0.982 CPU - 0.171 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 69/100: Total Evolution: 1.058 CPU - 0.187 wallclock seconds used.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 70/100, time_kick:0.700750, time_drift=0.705500.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:06\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 70/100, time_kick:0.710250, time_drift=0.715000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Accelerations (short-range): 0.983 CPU - 0.176 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 70/100: Total Evolution: 1.060 CPU - 0.192 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 71/100, time_kick:0.710250, time_drift=0.715000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 71/100, time_kick:0.719750, time_drift=0.724500.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Density: 0.017 CPU - 0.005 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Accelerations (short-range): 1.005 CPU - 0.170 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 71/100: Total Evolution: 1.072 CPU - 0.186 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 72/100, time_kick:0.719750, time_drift=0.724500.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 72/100, time_kick:0.729250, time_drift=0.734000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Accelerations (short-range): 1.020 CPU - 0.235 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 72/100: Total Evolution: 1.095 CPU - 0.251 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 73/100, time_kick:0.729250, time_drift=0.734000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 73/100, time_kick:0.738750, time_drift=0.743500.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Accelerations (short-range): 1.025 CPU - 0.181 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 73/100: Total Evolution: 1.103 CPU - 0.198 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 74/100, time_kick:0.738750, time_drift=0.743500.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 74/100, time_kick:0.748250, time_drift=0.753000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Density: 0.019 CPU - 0.005 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Accelerations (short-range): 1.014 CPU - 0.185 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 74/100: Total Evolution: 1.083 CPU - 0.201 wallclock seconds used.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 75/100, time_kick:0.748250, time_drift=0.753000.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:07\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 75/100, time_kick:0.757750, time_drift=0.762500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Density: 0.029 CPU - 0.005 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Accelerations (short-range): 1.047 CPU - 0.189 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 75/100: Total Evolution: 1.126 CPU - 0.206 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 76/100, time_kick:0.757750, time_drift=0.762500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 76/100, time_kick:0.767250, time_drift=0.772000.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Accelerations (short-range): 1.045 CPU - 0.186 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 76/100: Total Evolution: 1.119 CPU - 0.201 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 77/100, time_kick:0.767250, time_drift=0.772000.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 77/100, time_kick:0.776750, time_drift=0.781500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Potential: 0.010 CPU - 0.004 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Accelerations (short-range): 1.048 CPU - 0.196 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 77/100: Total Evolution: 1.123 CPU - 0.212 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 78/100, time_kick:0.776750, time_drift=0.781500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 78/100, time_kick:0.786250, time_drift=0.791000.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Accelerations (short-range): 1.084 CPU - 0.191 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 78/100: Total Evolution: 1.156 CPU - 0.207 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 79/100, time_kick:0.786250, time_drift=0.791000.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 79/100, time_kick:0.795750, time_drift=0.800500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Accelerations (short-range): 1.088 CPU - 0.208 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 79/100: Total Evolution: 1.165 CPU - 0.223 wallclock seconds used.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 80/100, time_kick:0.795750, time_drift=0.800500.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:08\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 80/100, time_kick:0.805250, time_drift=0.810000.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Density: 0.024 CPU - 0.004 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Accelerations (short-range): 1.091 CPU - 0.202 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 80/100: Total Evolution: 1.165 CPU - 0.218 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 81/100, time_kick:0.805250, time_drift=0.810000.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 81/100, time_kick:0.814750, time_drift=0.819500.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Accelerations (short-range): 1.110 CPU - 0.204 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 81/100: Total Evolution: 1.187 CPU - 0.219 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 82/100, time_kick:0.814750, time_drift=0.819500.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 82/100, time_kick:0.824250, time_drift=0.829000.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Density: 0.017 CPU - 0.004 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Accelerations (long-range): 0.043 CPU - 0.053 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Accelerations (short-range): 1.098 CPU - 0.208 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Kick: 0.009 CPU - 0.007 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 82/100: Total Evolution: 1.178 CPU - 0.274 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 83/100, time_kick:0.824250, time_drift=0.829000.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 83/100, time_kick:0.833750, time_drift=0.838500.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Density: 0.023 CPU - 0.007 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Potential: 0.012 CPU - 0.010 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Accelerations (short-range): 1.122 CPU - 0.213 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Drift: 0.001 CPU - 0.001 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 83/100: Total Evolution: 1.198 CPU - 0.238 wallclock seconds used.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 84/100, time_kick:0.833750, time_drift=0.838500.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:09\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 84/100, time_kick:0.843250, time_drift=0.848000.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Density: 0.020 CPU - 0.004 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Potential: 0.010 CPU - 0.004 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Accelerations (short-range): 1.133 CPU - 0.213 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 84/100: Total Evolution: 1.206 CPU - 0.229 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 85/100, time_kick:0.843250, time_drift=0.848000.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 85/100, time_kick:0.852750, time_drift=0.857500.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Density: 0.026 CPU - 0.006 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Accelerations (short-range): 1.133 CPU - 0.227 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 85/100: Total Evolution: 1.209 CPU - 0.244 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 86/100, time_kick:0.852750, time_drift=0.857500.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 86/100, time_kick:0.862250, time_drift=0.867000.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Density: 0.019 CPU - 0.004 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Accelerations (short-range): 1.143 CPU - 0.214 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 86/100: Total Evolution: 1.211 CPU - 0.229 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 87/100, time_kick:0.862250, time_drift=0.867000.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 87/100, time_kick:0.871750, time_drift=0.876500.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Accelerations (short-range): 1.142 CPU - 0.222 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 87/100: Total Evolution: 1.217 CPU - 0.238 wallclock seconds used.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 88/100, time_kick:0.871750, time_drift=0.876500.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:10\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 88/100, time_kick:0.881250, time_drift=0.886000.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Accelerations (short-range): 1.153 CPU - 0.228 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 88/100: Total Evolution: 1.227 CPU - 0.245 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 89/100, time_kick:0.881250, time_drift=0.886000.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 89/100, time_kick:0.890750, time_drift=0.895500.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Density: 0.025 CPU - 0.005 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Potential: 0.010 CPU - 0.003 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Accelerations (short-range): 1.172 CPU - 0.232 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 89/100: Total Evolution: 1.247 CPU - 0.249 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 90/100, time_kick:0.890750, time_drift=0.895500.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 90/100, time_kick:0.900250, time_drift=0.905000.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Accelerations (short-range): 1.185 CPU - 0.231 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 90/100: Total Evolution: 1.261 CPU - 0.247 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 91/100, time_kick:0.900250, time_drift=0.905000.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 91/100, time_kick:0.909750, time_drift=0.914500.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Accelerations (short-range): 1.168 CPU - 0.289 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 91/100: Total Evolution: 1.244 CPU - 0.305 wallclock seconds used.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 92/100, time_kick:0.909750, time_drift=0.914500.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:11\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 92/100, time_kick:0.919250, time_drift=0.924000.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Accelerations (short-range): 1.190 CPU - 0.243 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Kick: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 92/100: Total Evolution: 1.263 CPU - 0.260 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 93/100, time_kick:0.919250, time_drift=0.924000.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 93/100, time_kick:0.928750, time_drift=0.933500.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Density: 0.027 CPU - 0.006 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Accelerations (short-range): 1.199 CPU - 0.238 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 93/100: Total Evolution: 1.275 CPU - 0.255 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 94/100, time_kick:0.928750, time_drift=0.933500.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 94/100, time_kick:0.938250, time_drift=0.943000.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Accelerations (short-range): 1.208 CPU - 0.242 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 94/100: Total Evolution: 1.284 CPU - 0.258 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 95/100, time_kick:0.938250, time_drift=0.943000.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 95/100, time_kick:0.947750, time_drift=0.952500.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Accelerations (short-range): 1.236 CPU - 0.242 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 95/100: Total Evolution: 1.313 CPU - 0.258 wallclock seconds used.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 96/100, time_kick:0.947750, time_drift=0.952500.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:12\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 96/100, time_kick:0.957250, time_drift=0.962000.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Density: 0.028 CPU - 0.005 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Accelerations (short-range): 1.203 CPU - 0.247 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 96/100: Total Evolution: 1.280 CPU - 0.262 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 97/100, time_kick:0.957250, time_drift=0.962000.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 97/100, time_kick:0.966750, time_drift=0.971500.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Accelerations (short-range): 1.251 CPU - 0.254 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 97/100: Total Evolution: 1.328 CPU - 0.269 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 98/100, time_kick:0.966750, time_drift=0.971500.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 98/100, time_kick:0.976250, time_drift=0.981000.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Potential: 0.008 CPU - 0.003 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Accelerations (short-range): 1.234 CPU - 0.257 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 98/100: Total Evolution: 1.301 CPU - 0.272 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 99/100, time_kick:0.976250, time_drift=0.981000.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 99/100, time_kick:0.985750, time_drift=0.990500.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Density: 0.026 CPU - 0.004 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Accelerations (short-range): 1.239 CPU - 0.263 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 99/100: Total Evolution: 1.314 CPU - 0.278 wallclock seconds used.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 100/100, time_kick:0.985750, time_drift=0.990500.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:13\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 100/100, time_kick:1.000000, time_drift=1.000000.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Density: 0.051 CPU - 0.009 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Potential: 0.018 CPU - 0.006 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Accelerations (long-range): 0.066 CPU - 0.013 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Accelerations (short-range): 2.509 CPU - 0.596 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Kick: 0.013 CPU - 0.003 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 100/100: Total Evolution: 2.658 CPU - 0.627 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 2.316 CPU - 0.452 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.860 CPU - 0.286 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 3.326 CPU - 0.703 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 75.448 CPU - 13.489 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.635 CPU - 0.145 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.182 CPU - 0.056 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 82.767 CPU - 15.132 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5'...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_p3m_snapshot.gadget3'...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_p3m_snapshot.gadget3' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_p3m_snapshot.gadget3' (32768 particles)...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_p3m_snapshot.gadget3' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.351 CPU - 0.106 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 83.190 CPU - 15.296 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 90.490 CPU - 16.518 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n", + "[22:34:14\u001b[00m|\u001b[38;5;227mCOMMAND \u001b[00m]|\u001b[38;5;227msimbelmyne /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy /Users/hoellinger/WIP3M/ts2/logs/p3m3_nsteps20p3m.txt\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~~-.--.\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| : )\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .~ ~ -.\\ /.- ~~ .\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| > `. .' <\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( .- -. )\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `- -.-~ `- -' ~-.- -'\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ( : ) _ _ .-: ___________________________________\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~--. : .--~ .-~ .-~ } \u001b[1;38;5;157mSIMBELMYNË\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.-^-.-~ \\_ .~ .-~ .~ (c) Florent Leclercq 2012 - SBMY_YEAR \n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| \\ ' \\ '_ _ -~ ___________________________________\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| `.`. //\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| . - ~ ~-.__`.`-.//\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .-~ . - ~ }~ ~ ~-.~-.\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| .' .-~ .-~ :/~-.~-./:\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| /_~_ _ . - ~ ~-.~-._\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]| ~-.<\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|\n", + "[22:34:14\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|2025-05-21 22:34:14: Starting SIMBELMYNË, commit hash 860f12de187bb46026620362f000d9aa8bc3fb41\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy'...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Reading parameter file in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_example_p3m.sbmy' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot...\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Initializing snapshot done.\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT snapshot initialization: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions...\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Reading field in '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Returning initial conditions done.\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT initial conditions: 0.013 CPU - 0.014 wallclock seconds used.\n", + "[22:34:14\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores)...\u001b[00m\n", + "[22:34:14\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian potentials, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Computing Lagrangian displacement field (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Changing velocities of particles done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Displacing particles done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleLPT: Evolving with Lagrangian perturbation theory (using 8 cores) done.\u001b[00m\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|LPT evolution: 7.300 CPU - 1.161 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModuleLPT: 7.313 CPU - 1.175 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M...\u001b[00m\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5'...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Read timestepping configuration in '/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/simbelmyne/simbelmyne2025/WIP_P3M/results/ts2/p3m3_nsteps20_ts_p3m.h5' done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputForceDiagnostic: /Users/hoellinger/WIP3M/ts2/force_diagnostic_p3m3.txt\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|OutputSnapshotsBase: particles_\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 1/20, time_kick:0.050000, time_drift=0.050000.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 1/20, time_kick:0.073750, time_drift=0.097500.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Density: 0.020 CPU - 0.003 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Potential: 0.009 CPU - 0.004 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Accelerations (short-range): 0.274 CPU - 0.038 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 1/20: Total Evolution: 0.343 CPU - 0.054 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 2/20, time_kick:0.073750, time_drift=0.097500.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 2/20, time_kick:0.121250, time_drift=0.145000.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Density: 0.019 CPU - 0.003 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Accelerations (short-range): 0.285 CPU - 0.040 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 2/20: Total Evolution: 0.352 CPU - 0.054 wallclock seconds used.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 3/20, time_kick:0.121250, time_drift=0.145000.\n", + "[22:34:15\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 3/20, time_kick:0.168750, time_drift=0.192500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Density: 0.017 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Accelerations (short-range): 0.305 CPU - 0.043 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 3/20: Total Evolution: 0.372 CPU - 0.057 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 4/20, time_kick:0.168750, time_drift=0.192500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 4/20, time_kick:0.216250, time_drift=0.240000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Accelerations (short-range): 0.334 CPU - 0.047 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 4/20: Total Evolution: 0.410 CPU - 0.063 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 5/20, time_kick:0.216250, time_drift=0.240000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 5/20, time_kick:0.263750, time_drift=0.287500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Density: 0.028 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Accelerations (short-range): 0.368 CPU - 0.052 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 5/20: Total Evolution: 0.444 CPU - 0.069 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 6/20, time_kick:0.263750, time_drift=0.287500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 6/20, time_kick:0.311250, time_drift=0.335000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Density: 0.026 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Accelerations (short-range): 0.411 CPU - 0.060 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 6/20: Total Evolution: 0.487 CPU - 0.076 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 7/20, time_kick:0.311250, time_drift=0.335000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 7/20, time_kick:0.358750, time_drift=0.382500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Density: 0.023 CPU - 0.004 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Accelerations (short-range): 0.463 CPU - 0.066 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 7/20: Total Evolution: 0.535 CPU - 0.081 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 8/20, time_kick:0.358750, time_drift=0.382500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 8/20, time_kick:0.406250, time_drift=0.430000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Density: 0.020 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Accelerations (short-range): 0.523 CPU - 0.080 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 8/20: Total Evolution: 0.593 CPU - 0.096 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 9/20, time_kick:0.406250, time_drift=0.430000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 9/20, time_kick:0.453750, time_drift=0.477500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Density: 0.026 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Accelerations (short-range): 0.579 CPU - 0.086 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 9/20: Total Evolution: 0.654 CPU - 0.101 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 10/20, time_kick:0.453750, time_drift=0.477500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 10/20, time_kick:0.501250, time_drift=0.525000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Density: 0.029 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Potential: 0.009 CPU - 0.002 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Accelerations (short-range): 0.659 CPU - 0.096 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 10/20: Total Evolution: 0.738 CPU - 0.113 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 11/20, time_kick:0.501250, time_drift=0.525000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 11/20, time_kick:0.548750, time_drift=0.572500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (long-range): 0.032 CPU - 0.007 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Accelerations (short-range): 0.730 CPU - 0.108 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 11/20: Total Evolution: 0.806 CPU - 0.125 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 12/20, time_kick:0.548750, time_drift=0.572500.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 12/20, time_kick:0.596250, time_drift=0.620000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Density: 0.028 CPU - 0.005 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (long-range): 0.034 CPU - 0.007 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Accelerations (short-range): 0.798 CPU - 0.117 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 12/20: Total Evolution: 0.876 CPU - 0.134 wallclock seconds used.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 13/20, time_kick:0.596250, time_drift=0.620000.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:16\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 13/20, time_kick:0.643750, time_drift=0.667500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Density: 0.027 CPU - 0.006 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Potential: 0.007 CPU - 0.002 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Accelerations (short-range): 0.861 CPU - 0.129 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 13/20: Total Evolution: 0.938 CPU - 0.145 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 14/20, time_kick:0.643750, time_drift=0.667500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 14/20, time_kick:0.691250, time_drift=0.715000.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Density: 0.022 CPU - 0.004 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Accelerations (short-range): 0.932 CPU - 0.145 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Kick: 0.007 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 14/20: Total Evolution: 1.004 CPU - 0.160 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 15/20, time_kick:0.691250, time_drift=0.715000.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 15/20, time_kick:0.738750, time_drift=0.762500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Density: 0.021 CPU - 0.005 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (long-range): 0.032 CPU - 0.006 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Accelerations (short-range): 0.965 CPU - 0.161 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 15/20: Total Evolution: 1.034 CPU - 0.177 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 16/20, time_kick:0.738750, time_drift=0.762500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 16/20, time_kick:0.786250, time_drift=0.810000.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Accelerations (short-range): 1.047 CPU - 0.230 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 16/20: Total Evolution: 1.121 CPU - 0.245 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 17/20, time_kick:0.786250, time_drift=0.810000.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 17/20, time_kick:0.833750, time_drift=0.857500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Density: 0.025 CPU - 0.004 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Potential: 0.008 CPU - 0.002 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Accelerations (short-range): 1.067 CPU - 0.186 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 17/20: Total Evolution: 1.141 CPU - 0.201 wallclock seconds used.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 18/20, time_kick:0.833750, time_drift=0.857500.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:17\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 18/20, time_kick:0.881250, time_drift=0.905000.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Density: 0.024 CPU - 0.005 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (long-range): 0.033 CPU - 0.007 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Accelerations (short-range): 1.118 CPU - 0.209 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Drift: 0.002 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 18/20: Total Evolution: 1.192 CPU - 0.226 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 19/20, time_kick:0.881250, time_drift=0.905000.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 19/20, time_kick:0.928750, time_drift=0.952500.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Density: 0.027 CPU - 0.005 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Potential: 0.009 CPU - 0.003 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (long-range): 0.033 CPU - 0.006 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Accelerations (short-range): 1.151 CPU - 0.218 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Kick: 0.006 CPU - 0.001 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 19/20: Total Evolution: 1.229 CPU - 0.234 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: Begin P3M step 20/20, time_kick:0.928750, time_drift=0.952500.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Drifting particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Getting gravitational potential, periodic boundary conditions (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Kicking particles (using 8 cores) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|ModuleP3M: End P3M step 20/20, time_kick:1.000000, time_drift=1.000000.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Density: 0.055 CPU - 0.011 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Potential: 0.016 CPU - 0.005 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (long-range): 0.062 CPU - 0.014 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Accelerations (short-range): 2.406 CPU - 0.515 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Kick: 0.012 CPU - 0.003 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Drift: 0.002 CPU - 0.001 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Step 20/20: Total Evolution: 2.552 CPU - 0.548 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Density: 0.514 CPU - 0.100 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Potential: 0.178 CPU - 0.055 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (long-range): 0.687 CPU - 0.137 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Accelerations (short-range): 15.275 CPU - 2.627 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Kick: 0.132 CPU - 0.029 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Drift: 0.035 CPU - 0.011 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Inputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Diagnostic: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Outputs: 0.000 CPU - 0.000 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]==|Box: Total Evolution: 16.821 CPU - 2.959 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModuleP3M: Evolving with P3M done.\u001b[00m\n", + "[22:34:18\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs...\u001b[00m\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Getting density contrast (using 8 cores and 8 arrays, parallel routine 1) done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5'...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing field to '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_p3m_snapshot.gadget3'...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing header in '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_p3m_snapshot.gadget3' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_p3m_snapshot.gadget3' (32768 particles)...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS '...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'POS ' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL '...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'VEL ' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID '...\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]====|Writing block: 'ID ' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]==|Writing snapshot in '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_p3m_snapshot.gadget3' done.\n", + "[22:34:18\u001b[00m|\u001b[38;5;147mMODULE \u001b[00m]|\u001b[38;5;147mModulePMCOLA: Computing outputs done.\u001b[00m\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|PMCOLA output: 0.390 CPU - 0.117 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|ModulePMCOLA: 17.226 CPU - 3.088 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;159mTIMER \u001b[00m]|Simbelmynë: 24.543 CPU - 4.266 wallclock seconds used.\n", + "[22:34:18\u001b[00m|\u001b[38;5;117mINFO \u001b[00m]|Everything done successfully, exiting.\n" + ] + } + ], + "source": [ + "for name, params in all_sim_params:\n", + " run_simulation(name, params, wd, logdir)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "vscode": { + "languageId": "shellscript" + } + }, + "source": [ + "The logs can be monitored in the corresponding files in the `logdir` directory." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot the evolved dark matter density fields" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:34:18|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/lpt_density.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/lpt_density.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5' done.\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5'...\n", + "[22:34:19|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:19|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5' done.\n" + ] + } + ], + "source": [ + "slice_ijk = (N // 2, slice(None), slice(None))\n", + "DELTA_LPT = read_field(simdir + \"lpt_density.h5\").data[slice_ijk]\n", + "DELTA_PMREF = read_field(simdir + f\"pmref_nsteps{nsteps_pmref}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_PM1 = read_field(simdir + f\"pm1_nsteps{nsteps_pm1}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_PM2 = read_field(simdir + f\"pm2_nsteps{nsteps_pm2}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_COLA = read_field(simdir + f\"cola_nsteps{nsteps_cola}_final_density_cola.h5\").data[slice_ijk]\n", + "DELTA_SPM = read_field(simdir + f\"spm_nsteps{nsteps_spm}_final_density_spm.h5\").data[slice_ijk]\n", + "DELTA_P3M1 = read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\").data[slice_ijk]\n", + "DELTA_P3M2 = read_field(simdir + f\"p3m2_nsteps{nsteps_p3m2}_final_density_p3m.h5\").data[slice_ijk]\n", + "DELTA_P3M3 = read_field(simdir + f\"p3m3_nsteps{nsteps_p3m3}_final_density_p3m.h5\").data[slice_ijk]\n", + "diff_pm1_pmref = DELTA_PM1 - DELTA_PMREF\n", + "diff_pm2_pmref = DELTA_PM2 - DELTA_PMREF\n", + "diff_p3m1_pmref = DELTA_P3M1 - DELTA_PMREF\n", + "diff_p3m2_pm1 = DELTA_P3M2 - DELTA_PM1\n", + "diff_p3m3_pm2 = DELTA_P3M3 - DELTA_PM2\n", + "diff_p3m1_spm = DELTA_P3M1 - DELTA_SPM" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fields = [\"pmref\", \"pm1\", \"pm2\", \"p3m1\", \"p3m2\", \"p3m3\", \"diff_p3m1_spm\", \"diff_pm1_pmref\", \"diff_pm2_pmref\", \"diff_p3m1_pmref\", \"diff_p3m2_pm1\", \"diff_p3m3_pm2\"] # fields to plot\n", + "# fields = [\"lpt\", \"pmref\", \"pm1\", \"pm2\", \"cola\", \"spm\", \"p3m1\", \"p3m2\", \"p3m3\", \"diff_p3m1_spm\", \"diff_pm1_pmref\", \"diff_pm2_pmref\", \"diff_p3m1_pmref\", \"diff_p3m2_pm1\", \"diff_p3m3_pm2\"] # fields to plot\n", + "\n", + "figname = \"_\".join(fields)\n", + "slices_dict = {\n", + " \"lpt\": DELTA_LPT,\n", + " \"cola\": DELTA_COLA,\n", + " \"pmref\": DELTA_PMREF,\n", + " \"pm1\": DELTA_PM1,\n", + " \"pm2\": DELTA_PM2,\n", + " \"spm\": DELTA_SPM,\n", + " \"p3m1\": DELTA_P3M1,\n", + " \"p3m2\": DELTA_P3M2,\n", + " \"p3m3\": DELTA_P3M3,\n", + " \"diff_pm1_pmref\": diff_pm1_pmref,\n", + " \"diff_pm2_pmref\": diff_pm2_pmref,\n", + " \"diff_p3m1_pmref\": diff_p3m1_pmref,\n", + " \"diff_p3m2_pm1\": diff_p3m2_pm1,\n", + " \"diff_p3m3_pm2\": diff_p3m3_pm2,\n", + " \"diff_p3m1_spm\": diff_p3m1_spm,\n", + "}\n", + "titles_dict = {\n", + " \"lpt\": \"LPT\",\n", + " \"pmref\": f\"PMref $n_\\\\mathrm{{steps}}={nsteps_pmref}$\",\n", + " \"pm1\": f\"PM1 $n_\\\\mathrm{{steps}}={nsteps_pm1}$\",\n", + " \"pm2\": f\"PM2 $n_\\\\mathrm{{steps}}={nsteps_pm2}$\",\n", + " \"cola\": f\"COLA $n_\\\\mathrm{{steps}}={nsteps_cola}$\",\n", + " \"spm\": f\"sPM $n_\\\\mathrm{{steps}}={nsteps_spm}$\",\n", + " \"p3m1\": f\"P3M1 $n_\\\\mathrm{{steps}}={nsteps_p3m1}$\",\n", + " \"p3m2\": f\"P3M2 $n_\\\\mathrm{{steps}}={nsteps_p3m2}$\",\n", + " \"p3m3\": f\"P3M3 $n_\\\\mathrm{{steps}}={nsteps_p3m3}$\",\n", + " \"diff_pm1_pmref\": r\"$\\delta_{\\rm PM1}-\\delta_{\\rm PMref}$\",\n", + " \"diff_pm2_pmref\": r\"$\\delta_{\\rm PM2}-\\delta_{\\rm PMref}$\",\n", + " \"diff_p3m1_pmref\": r\"$\\delta_{\\rm P3M1}-\\delta_{\\rm PMref}$\",\n", + " \"diff_p3m2_pm1\": r\"$\\delta_{\\rm P3M2}-\\delta_{\\rm PM1}$\",\n", + " \"diff_p3m3_pm2\": r\"$\\delta_{\\rm P3M3}-\\delta_{\\rm PM2}$\",\n", + " \"diff_p3m1_spm\": r\"$\\delta_{\\rm P3M1}-\\delta_{\\rm sPM}$\",\n", + "}\n", + "\n", + "ncols = 6 # Max panels per row\n", + "npanels = len(fields)\n", + "nrows = np.ceil(npanels / ncols).astype(int)\n", + "\n", + "fig, axs = plt.subplots(\n", + " nrows=nrows, ncols=ncols, figsize=(3 * ncols, 4.6 * nrows), sharey=True\n", + ")\n", + "\n", + "axs = axs.flatten()\n", + "ims = []\n", + "\n", + "for i, key in enumerate(fields):\n", + " ax = axs[i]\n", + " data = slices_dict[key]\n", + " title = titles_dict[key]\n", + "\n", + " if key.startswith(\"diff\"):\n", + " norm = TwoSlopeNorm(\n", + " vmin=-np.log(1 + np.abs(np.min(data))),\n", + " vcenter=0,\n", + " vmax=np.log10(1 + np.abs(np.max(data))),\n", + " )\n", + " im = ax.imshow(\n", + " np.sign(data) * np.log(1 + np.abs(data)), cmap=\"RdBu_r\", norm=norm\n", + " )\n", + " else:\n", + " im = ax.imshow(np.log10(2 + data), cmap=cmap)\n", + "\n", + " ims.append((im, key))\n", + " ax.set_title(title, fontsize=fs_titles)\n", + " for spine in ax.spines.values():\n", + " spine.set_visible(False)\n", + "\n", + "# Hide unused axes\n", + "for i in range(npanels, len(axs)):\n", + " axs[i].axis(\"off\")\n", + "\n", + "# Shared axes labels\n", + "for i, ax in enumerate(axs[:npanels]):\n", + " if i % ncols == 0:\n", + " ax.set_yticks([0, N // 2, N])\n", + " ax.set_yticklabels([f\"{-L/2:.0f}\", \"0\", f\"{L/2:.0f}\"], fontsize=fs)\n", + " ax.set_ylabel(r\"Mpc/$h$\", size=GLOBAL_FS_SMALL)\n", + "\n", + " ax.set_xticks([0, N // 2, N])\n", + " ax.set_xticklabels([f\"{-L/2:.0f}\", \"0\", f\"{L/2:.0f}\"], fontsize=fs)\n", + " ax.set_xlabel(r\"Mpc/$h$\", size=GLOBAL_FS_SMALL)\n", + "\n", + "# Colorbars\n", + "for ax, (im, key) in zip(axs[:npanels], ims):\n", + " divider = make_axes_locatable(ax)\n", + " cax = divider.append_axes(\"bottom\", size=\"5%\", pad=0.6)\n", + " cb = fig.colorbar(im, cax=cax, orientation=\"horizontal\")\n", + " if key.startswith(\"diff\"):\n", + " cb.set_label(\n", + " r\"$\\textrm{sgn}\\left(\\Delta\\delta\\right)\\log_{10}(1 + |\\Delta\\delta|)$\",\n", + " fontsize=fs,\n", + " )\n", + " else:\n", + " cb.set_label(r\"$\\log_{10}(2 + \\delta)$\", fontsize=fs)\n", + " cb.ax.tick_params(labelsize=fs)\n", + " cax.xaxis.set_ticks_position(\"bottom\")\n", + " cax.xaxis.set_label_position(\"bottom\")\n", + "\n", + "fig.savefig(simdir + f\"{figname}.png\", bbox_inches=\"tight\", dpi=300, transparent=True)\n", + "fig.savefig(simdir + f\"{figname}.pdf\", bbox_inches=\"tight\", dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "full_field_p3m1 = np.log10(2+read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\").data)\n", + "\n", + "if N <= 128:\n", + " fig = plotly_3d(full_field_p3m1, size=N, L=L, colormap=thermal_plotly, limits=\"default\")\n", + "else:\n", + " # Downsample the grid for visualisation\n", + " downsample_factor = N // 128\n", + " downsampled_field = full_field_p3m1[\n", + " ::downsample_factor, ::downsample_factor, ::downsample_factor\n", + " ]\n", + " fig = plotly_3d(downsampled_field, size=N, L=L, colormap=thermal_plotly, limits=\"default\")\n", + "\n", + "fig.show()\n", + "clear_large_plot(fig) # Uncomment to clear the Plotly figure to avoid memory issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compute and plot the power spectra of the evolved dark matter fields" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/ts2/input_ss_k_grid.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=8.0, L1=8.0, L2=8.0\u001b[00m\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=256, N1=256, N2=256, N2_HC=129, N_HC=8454144, NUM_MODES=64\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/ts2/input_ss_k_grid.h5' done.\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/initial_density.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/initial_density.h5' done.\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/lpt_density.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/lpt_density.h5' done.\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pmref_nsteps200_final_density_pm.h5' done.\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm1_nsteps100_final_density_pm.h5' done.\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5'...\n", + "[22:34:24|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:24|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/pm2_nsteps20_final_density_pm.h5' done.\n", + "[22:34:24\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5'...\n", + "[22:34:25|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/cola_nsteps10_final_density_cola.h5' done.\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5'...\n", + "[22:34:25|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/spm_nsteps200_final_density_spm.h5' done.\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5'...\n", + "[22:34:25|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m1_nsteps200_final_density_p3m.h5' done.\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5'...\n", + "[22:34:25|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m2_nsteps100_final_density_p3m.h5' done.\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5'...\n", + "[22:34:25|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.float64(-4.0), np.float64(4.0), np.int32(256), np.int32(256), np.int32(256)]\u001b[00m\n", + "[22:34:25|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts2/p3m3_nsteps20_final_density_p3m.h5' done.\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[22:34:25\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n" + ] + } + ], + "source": [ + "G = read_FourierGrid(simdir + \"input_ss_k_grid.h5\")\n", + "k = G.k_modes[1:]\n", + "AliasingCorr = False\n", + "\n", + "DELTA = read_field(simdir + \"initial_density.h5\")\n", + "Pk_INI, Vk_INI = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_INI, Vk_INI = Pk_INI[1:], Vk_INI[1:]\n", + "Sk_INI = np.sqrt(Vk_INI)\n", + "\n", + "DELTA = read_field(simdir + \"lpt_density.h5\")\n", + "Pk_LPT, Vk_LPT = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_LPT, Vk_LPT = Pk_LPT[1:], Vk_LPT[1:]\n", + "Sk_LPT = np.sqrt(Vk_LPT)\n", + "\n", + "DELTA = read_field(simdir + f\"pmref_nsteps{nsteps_pmref}_final_density_pm.h5\")\n", + "Pk_PMref, Vk_PMref = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PMref, Vk_PMref = Pk_PMref[1:], Vk_PMref[1:]\n", + "Sk_PMref = np.sqrt(Vk_PMref)\n", + "\n", + "DELTA = read_field(simdir + f\"pm1_nsteps{nsteps_pm1}_final_density_pm.h5\")\n", + "Pk_PM1, Vk_PM1 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PM1, Vk_PM1 = Pk_PM1[1:], Vk_PM1[1:]\n", + "Sk_PM1 = np.sqrt(Vk_PM1)\n", + "\n", + "DELTA = read_field(simdir + f\"pm2_nsteps{nsteps_pm2}_final_density_pm.h5\")\n", + "Pk_PM2, Vk_PM2 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PM2, Vk_PM2 = Pk_PM2[1:], Vk_PM2[1:]\n", + "Sk_PM2 = np.sqrt(Vk_PM2)\n", + "\n", + "DELTA = read_field(simdir + f\"cola_nsteps{nsteps_cola}_final_density_cola.h5\")\n", + "Pk_COLA, Vk_COLA = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_COLA, Vk_COLA = Pk_COLA[1:], Vk_COLA[1:]\n", + "Sk_COLA = np.sqrt(Vk_COLA)\n", + "\n", + "DELTA = read_field(simdir + f\"spm_nsteps{nsteps_spm}_final_density_spm.h5\")\n", + "Pk_sPM, Vk_sPM = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_sPM, Vk_sPM = Pk_sPM[1:], Vk_sPM[1:]\n", + "Sk_sPM = np.sqrt(Vk_sPM)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\")\n", + "Pk_P3M1, Vk_P3M1 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M1, Vk_P3M1 = Pk_P3M1[1:], Vk_P3M1[1:]\n", + "Sk_P3M1 = np.sqrt(Vk_P3M1)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m2_nsteps{nsteps_p3m2}_final_density_p3m.h5\")\n", + "Pk_P3M2, Vk_P3M2 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M2, Vk_P3M2 = Pk_P3M2[1:], Vk_P3M2[1:]\n", + "Sk_P3M2 = np.sqrt(Vk_P3M2)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m3_nsteps{nsteps_p3m3}_final_density_p3m.h5\")\n", + "Pk_P3M3, Vk_P3M3 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M3, Vk_P3M3 = Pk_P3M3[1:], Vk_P3M3[1:]\n", + "Sk_P3M3 = np.sqrt(Vk_P3M3)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "kmin = 2.702892780303955, kmax = 164.06570434570312\n", + "Nyquist (density grid): 100.53 h/Mpc\n", + "Nyquist (PM grid): 25.13 h/Mpc\n", + "Particle wavenumber: 418.88 h/Mpc\n", + "Split wavenumber: 40.21 h/Mpc\n", + "Short-range reach: 8.94 h/Mpc\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Pk_ref = Pk_PMref\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 4))\n", + "\n", + "ax.set_xscale(\"log\")\n", + "k = G.k_modes[1:]\n", + "kmin, kmax = k.min(), k.max()\n", + "print(f\"kmin = {kmin}, kmax = {kmax}\")\n", + "log_pad = 0.02\n", + "log_k_min = np.log10(kmin)\n", + "log_k_max = np.log10(kmax)\n", + "log_range = log_k_max - log_k_min\n", + "xlim_min = 10 ** (log_k_min - log_pad * log_range)\n", + "xlim_max = 10 ** (log_k_max + log_pad * log_range)\n", + "\n", + "plt.xlim(xlim_min, xlim_max)\n", + "# ax.set_ylim([0.2, 1.8])\n", + "dark_grey_bnd = 0.05\n", + "light_grey_bnd = 0.1\n", + "\n", + "label_ref = f\"Ref (PM, $n_\\\\mathrm{{steps}}={nsteps_pmref}$)\"\n", + "\n", + "ax.plot([kmin, kmax], [1, 1], color=\"black\", linestyle=\"-\", label=label_ref)\n", + "# ax.plot(k, Pk_LPT / Pk_ref, label=\"2LPT\", linestyle=\"--\")\n", + "fields_to_plot = [\n", + " (\"PM1\", Pk_PM1),\n", + " (\"PM2\", Pk_PM2),\n", + " (\"COLA\", Pk_COLA),\n", + " (\"sPM\", Pk_sPM),\n", + " (\"P3M1\", Pk_P3M1),\n", + " (\"P3M2\", Pk_P3M2),\n", + " (\"P3M3\", Pk_P3M3),\n", + "]\n", + "for field_name, Pk in fields_to_plot:\n", + " label = f\"{field_name}, $n_\\\\mathrm{{steps}}={eval(f'nsteps_{field_name.lower()}')}$\"\n", + " ax.plot(k, Pk / Pk_ref, label=label, linestyle=\"--\")\n", + "\n", + "ax.axhspan(1 - dark_grey_bnd, 1 + dark_grey_bnd, color=\"grey\", alpha=0.2)\n", + "ax.axhspan(1 - light_grey_bnd, 1 + light_grey_bnd, color=\"grey\", alpha=0.1)\n", + "\n", + "for i in range(1, len(k)):\n", + " ax.axvline(k[i], color=\"black\", linestyle=\":\", linewidth=1, alpha=0.1)\n", + "ax.yaxis.set_major_locator(plt.MaxNLocator(6))\n", + "ax.yaxis.get_major_ticks()[0].label1.set_visible(False)\n", + "ax.set_xlabel(\"$k$ [$h/\\\\mathrm{Mpc}$]\", fontsize=fs)\n", + "ax.set_ylabel(\"$P(k)/P_\\\\mathrm{ref}(k)$\", fontsize=fs)\n", + "ax.tick_params(which=\"both\", direction=\"in\")\n", + "ax.tick_params(axis=\"both\", which=\"major\", labelsize=fs)\n", + "ax.tick_params(axis=\"both\", which=\"minor\", labelsize=fs)\n", + "\n", + "# Characteristic vertical reference scales\n", + "nyquist = np.pi * N / L\n", + "nyquist_PM = np.pi * Npm / L\n", + "epsilon = 0.03 * L / Np\n", + "particle_length = 2*epsilon\n", + "xs = 1.25 * L / Npm\n", + "xr = 4.5 * xs\n", + "particle_wavenumber = 2*np.pi / particle_length\n", + "xs_inv = 2*np.pi / xs\n", + "xr_inv = 2*np.pi / xr\n", + "line1 = ax.axvline(x=nyquist, color=\"black\", linestyle=\"--\", lw=1, label=\"Nyquist (density grid)\")\n", + "line1 = ax.axvline(x=nyquist_PM, color=\"black\", linestyle=\"-\", lw=1, label=\"Nyquist (PM grid)\")\n", + "# line2 = ax.axvline(x=particle_wavenumber, color=\"gray\", linestyle=\"--\", lw=2, label=r\"Particle wavenumber $2\\epsilon$\")\n", + "line3 = ax.axvline(x=xs_inv, color=\"gray\", linestyle=\"-.\", lw=2, label=r\"Split wavenumber $x_s$\")\n", + "line4 = ax.axvline(x=xr_inv, color=\"gray\", linestyle=\":\", lw=2, label=r\"Short-range reach $x_r$\")\n", + "print(f\"Nyquist (density grid): {nyquist:.2f} h/Mpc\")\n", + "print(f\"Nyquist (PM grid): {nyquist_PM:.2f} h/Mpc\")\n", + "print(f\"Particle wavenumber: {particle_wavenumber:.2f} h/Mpc\")\n", + "print(f\"Split wavenumber: {xs_inv:.2f} h/Mpc\")\n", + "print(f\"Short-range reach: {xr_inv:.2f} h/Mpc\")\n", + "\n", + "empty_patch = mpatches.Patch(color=\"none\", label=\"\")\n", + "handles, labels = plt.gca().get_legend_handles_labels()\n", + "# handles = [empty_patch, *handles]\n", + "# labels = [\"\", *labels]\n", + "plt.legend(\n", + " handles,\n", + " labels,\n", + " loc=\"upper center\",\n", + " ncol=2,\n", + " bbox_to_anchor=(0.5, -0.2),\n", + " fontsize=fs,\n", + " frameon=False,\n", + ")\n", + "fig.savefig(\n", + " simdir + \"power_spectra.png\",\n", + " bbox_inches=\"tight\",\n", + " dpi=300,\n", + " transparent=True,\n", + ")\n", + "fig.savefig(\n", + " simdir + \"power_spectra.pdf\",\n", + " bbox_inches=\"tight\",\n", + " dpi=300,\n", + ")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Force exerted by particles on other particles" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "if force_diagnostic:\n", + " r1, fmag1, _ = load_force_diagnostic(OutputForceDiagnostic_pmref)\n", + " r4, fmag4, _ = load_force_diagnostic(OutputForceDiagnostic_cola)\n", + " r2, fmag2, _ = load_force_diagnostic(OutputForceDiagnostic_spm)\n", + " r3, fmag3, _ = load_force_diagnostic(OutputForceDiagnostic_p3m1)\n", + "\n", + " rr = np.array([r1, r4, r2, r3], dtype=object)\n", + " ff = np.array([fmag1, fmag4, fmag2, fmag3], dtype=object)\n", + " ll = np.array([\"PM\", \"COLA\", \"sPM\", \"P3M\"])\n", + "\n", + " ix = [0, 1, 2, 3]\n", + "\n", + " Newton_prefactor = (L / Np)**3 / (4*np.pi)\n", + " print(f\"Newton prefactor = {Newton_prefactor:.2e}\")\n", + " plot_force_distance_comparison(rr=rr[ix], ff=ff[ix], ll=ll[ix], L=L, Np=Np, Npm=Npm, a=Newton_prefactor, title=\"Particle's contributions to total force\", save_path=simdir + \"force_diagnostic_comparison.png\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "p3m", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/2_plots_convergence_baseline_ts.ipynb b/notebooks/2_plots_convergence_baseline_ts.ipynb new file mode 100644 index 0000000..36a633d --- /dev/null +++ b/notebooks/2_plots_convergence_baseline_ts.ipynb @@ -0,0 +1,590 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Tristan Hoellinger
\n", + "Institut d'Astrophysique de Paris
\n", + "tristan.hoellinger@iap.fr" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plot time step convergence tests" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set up the environment and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# pyright: reportWildcardImportFromLibrary=false\n", + "import numpy as np\n", + "\n", + "from pysbmy.fft import read_FourierGrid\n", + "from pysbmy.field import read_field\n", + "from pysbmy.correlations import get_autocorrelation\n", + "\n", + "from wip3m import *\n", + "from wip3m.plot_utils import *" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "workdir = ROOT_PATH + \"results/\"\n", + "output_path = OUTPUT_PATH\n", + "\n", + "run_id = \"ts1\"\n", + "\n", + "nsteps_pmref = 200\n", + "nsteps_pm1 = 100\n", + "nsteps_pm2 = 20\n", + "nsteps_cola = 10\n", + "nsteps_spm = nsteps_p3m1 = 200\n", + "nsteps_p3m2 = 100\n", + "nsteps_p3m3 = 20" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In principle nothing needs to be changed below this cell." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "simdir = output_path + run_id + \"/\"\n", + "input_ss_file = simdir + \"input_ss_k_grid.h5\"\n", + "wd = workdir + run_id + \"/\"\n", + "with open(wd + \"sim_params.txt\", \"r\") as f:\n", + " sim_params = eval(f.read())\n", + "L = sim_params[\"L\"] # Box size in Mpc/h\n", + "N = sim_params[\"N\"] # Density grid size\n", + "Np = sim_params[\"Np\"] # Number of dark matter particles per spatial dimension\n", + "Npm = sim_params[\"Npm\"] # PM grid size" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot the evolved dark matter density fields" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/lpt_density.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/lpt_density.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pmref_nsteps200_final_density_pm.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pmref_nsteps200_final_density_pm.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm1_nsteps100_final_density_pm.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm1_nsteps100_final_density_pm.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm2_nsteps20_final_density_pm.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm2_nsteps20_final_density_pm.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/cola_nsteps10_final_density_cola.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/cola_nsteps10_final_density_cola.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/spm_nsteps200_final_density_spm.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/spm_nsteps200_final_density_spm.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m1_nsteps200_final_density_p3m.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m1_nsteps200_final_density_p3m.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m2_nsteps100_final_density_p3m.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m2_nsteps100_final_density_p3m.h5' done.\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m3_nsteps20_final_density_p3m.h5'...\n", + "[23:34:28|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:28|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m3_nsteps20_final_density_p3m.h5' done.\n" + ] + } + ], + "source": [ + "slice_ijk = (N // 2, slice(None), slice(None))\n", + "DELTA_LPT = read_field(simdir + \"lpt_density.h5\").data[slice_ijk]\n", + "DELTA_PMREF = read_field(simdir + f\"pmref_nsteps{nsteps_pmref}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_PM1 = read_field(simdir + f\"pm1_nsteps{nsteps_pm1}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_PM2 = read_field(simdir + f\"pm2_nsteps{nsteps_pm2}_final_density_pm.h5\").data[slice_ijk]\n", + "DELTA_COLA = read_field(simdir + f\"cola_nsteps{nsteps_cola}_final_density_cola.h5\").data[slice_ijk]\n", + "DELTA_SPM = read_field(simdir + f\"spm_nsteps{nsteps_spm}_final_density_spm.h5\").data[slice_ijk]\n", + "DELTA_P3M1 = read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\").data[slice_ijk]\n", + "DELTA_P3M2 = read_field(simdir + f\"p3m2_nsteps{nsteps_p3m2}_final_density_p3m.h5\").data[slice_ijk]\n", + "DELTA_P3M3 = read_field(simdir + f\"p3m3_nsteps{nsteps_p3m3}_final_density_p3m.h5\").data[slice_ijk]\n", + "diff_pm1_pmref = DELTA_PM1 - DELTA_PMREF\n", + "diff_pm2_pmref = DELTA_PM2 - DELTA_PMREF\n", + "diff_p3m1_pmref = DELTA_P3M1 - DELTA_PMREF\n", + "diff_p3m2_pm1 = DELTA_P3M2 - DELTA_PM1\n", + "diff_p3m3_pm2 = DELTA_P3M3 - DELTA_PM2\n", + "diff_p3m1_spm = DELTA_P3M1 - DELTA_SPM" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fields = [\"pmref\", \"pm1\", \"pm2\", \"p3m1\", \"p3m2\", \"p3m3\", \"diff_p3m1_spm\", \"diff_pm1_pmref\", \"diff_pm2_pmref\", \"diff_p3m1_pmref\", \"diff_p3m2_pm1\", \"diff_p3m3_pm2\"] # fields to plot\n", + "# fields = [\"lpt\", \"pmref\", \"pm1\", \"pm2\", \"cola\", \"spm\", \"p3m1\", \"p3m2\", \"p3m3\", \"diff_p3m1_spm\", \"diff_pm1_pmref\", \"diff_pm2_pmref\", \"diff_p3m1_pmref\", \"diff_p3m2_pm1\", \"diff_p3m3_pm2\"] # fields to plot\n", + "\n", + "figname = \"_\".join(fields)\n", + "slices_dict = {\n", + " \"lpt\": DELTA_LPT,\n", + " \"cola\": DELTA_COLA,\n", + " \"pmref\": DELTA_PMREF,\n", + " \"pm1\": DELTA_PM1,\n", + " \"pm2\": DELTA_PM2,\n", + " \"spm\": DELTA_SPM,\n", + " \"p3m1\": DELTA_P3M1,\n", + " \"p3m2\": DELTA_P3M2,\n", + " \"p3m3\": DELTA_P3M3,\n", + " \"diff_pm1_pmref\": diff_pm1_pmref,\n", + " \"diff_pm2_pmref\": diff_pm2_pmref,\n", + " \"diff_p3m1_pmref\": diff_p3m1_pmref,\n", + " \"diff_p3m2_pm1\": diff_p3m2_pm1,\n", + " \"diff_p3m3_pm2\": diff_p3m3_pm2,\n", + " \"diff_p3m1_spm\": diff_p3m1_spm,\n", + "}\n", + "titles_dict = {\n", + " \"lpt\": \"LPT\",\n", + " \"pmref\": f\"PMref $n_\\\\mathrm{{steps}}={nsteps_pmref}$\",\n", + " \"pm1\": f\"PM1 $n_\\\\mathrm{{steps}}={nsteps_pm1}$\",\n", + " \"pm2\": f\"PM2 $n_\\\\mathrm{{steps}}={nsteps_pm2}$\",\n", + " \"cola\": f\"COLA $n_\\\\mathrm{{steps}}={nsteps_cola}$\",\n", + " \"spm\": f\"sPM $n_\\\\mathrm{{steps}}={nsteps_spm}$\",\n", + " \"p3m1\": f\"P3M1 $n_\\\\mathrm{{steps}}={nsteps_p3m1}$\",\n", + " \"p3m2\": f\"P3M2 $n_\\\\mathrm{{steps}}={nsteps_p3m2}$\",\n", + " \"p3m3\": f\"P3M3 $n_\\\\mathrm{{steps}}={nsteps_p3m3}$\",\n", + " \"diff_pm1_pmref\": r\"$\\delta_{\\rm PM1}-\\delta_{\\rm PMref}$\",\n", + " \"diff_pm2_pmref\": r\"$\\delta_{\\rm PM2}-\\delta_{\\rm PMref}$\",\n", + " \"diff_p3m1_pmref\": r\"$\\delta_{\\rm P3M1}-\\delta_{\\rm PMref}$\",\n", + " \"diff_p3m2_pm1\": r\"$\\delta_{\\rm P3M2}-\\delta_{\\rm PM1}$\",\n", + " \"diff_p3m3_pm2\": r\"$\\delta_{\\rm P3M3}-\\delta_{\\rm PM2}$\",\n", + " \"diff_p3m1_spm\": r\"$\\delta_{\\rm P3M1}-\\delta_{\\rm sPM}$\",\n", + "}\n", + "\n", + "ncols = 6 # Max panels per row\n", + "npanels = len(fields)\n", + "nrows = np.ceil(npanels / ncols).astype(int)\n", + "\n", + "fig, axs = plt.subplots(\n", + " nrows=nrows, ncols=ncols, figsize=(3 * ncols, 4.6 * nrows), sharey=True\n", + ")\n", + "\n", + "axs = axs.flatten()\n", + "ims = []\n", + "\n", + "for i, key in enumerate(fields):\n", + " ax = axs[i]\n", + " data = slices_dict[key]\n", + " title = titles_dict[key]\n", + "\n", + " if key.startswith(\"diff\"):\n", + " norm = TwoSlopeNorm(\n", + " vmin=-np.log(1 + np.abs(np.min(data))),\n", + " vcenter=0,\n", + " vmax=np.log10(1 + np.abs(np.max(data))),\n", + " )\n", + " im = ax.imshow(\n", + " np.sign(data) * np.log(1 + np.abs(data)), cmap=\"RdBu_r\", norm=norm\n", + " )\n", + " else:\n", + " im = ax.imshow(np.log10(2 + data), cmap=cmap)\n", + "\n", + " ims.append((im, key))\n", + " ax.set_title(title, fontsize=fs_titles)\n", + " for spine in ax.spines.values():\n", + " spine.set_visible(False)\n", + "\n", + "# Hide unused axes\n", + "for i in range(npanels, len(axs)):\n", + " axs[i].axis(\"off\")\n", + "\n", + "# Shared axes labels\n", + "for i, ax in enumerate(axs[:npanels]):\n", + " if i % ncols == 0:\n", + " ax.set_yticks([0, N // 2, N])\n", + " ax.set_yticklabels([f\"{-L/2:.0f}\", \"0\", f\"{L/2:.0f}\"], fontsize=fs)\n", + " ax.set_ylabel(r\"Mpc/$h$\", size=GLOBAL_FS_SMALL)\n", + "\n", + " ax.set_xticks([0, N // 2, N])\n", + " ax.set_xticklabels([f\"{-L/2:.0f}\", \"0\", f\"{L/2:.0f}\"], fontsize=fs)\n", + " ax.set_xlabel(r\"Mpc/$h$\", size=GLOBAL_FS_SMALL)\n", + "\n", + "# Colorbars\n", + "for ax, (im, key) in zip(axs[:npanels], ims):\n", + " divider = make_axes_locatable(ax)\n", + " cax = divider.append_axes(\"bottom\", size=\"5%\", pad=0.6)\n", + " cb = fig.colorbar(im, cax=cax, orientation=\"horizontal\")\n", + " if key.startswith(\"diff\"):\n", + " cb.set_label(\n", + " r\"$\\textrm{sgn}\\left(\\Delta\\delta\\right)\\log_{10}(1 + |\\Delta\\delta|)$\",\n", + " fontsize=fs,\n", + " )\n", + " else:\n", + " cb.set_label(r\"$\\log_{10}(2 + \\delta)$\", fontsize=fs)\n", + " cb.ax.tick_params(labelsize=fs)\n", + " cax.xaxis.set_ticks_position(\"bottom\")\n", + " cax.xaxis.set_label_position(\"bottom\")\n", + "\n", + "fig.savefig(simdir + f\"{figname}.png\", bbox_inches=\"tight\", dpi=300, transparent=True)\n", + "fig.savefig(simdir + f\"{figname}.pdf\", bbox_inches=\"tight\", dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "full_field_p3m1 = np.log10(2+read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\").data)\n", + "\n", + "if N <= 128:\n", + " fig = plotly_3d(full_field_p3m1, size=N, L=L, colormap=thermal_plotly, limits=\"default\")\n", + "else:\n", + " # Downsample the grid for visualisation\n", + " downsample_factor = N // 128\n", + " downsampled_field = full_field_p3m1[\n", + " ::downsample_factor, ::downsample_factor, ::downsample_factor\n", + " ]\n", + " fig = plotly_3d(downsampled_field, size=N, L=L, colormap=thermal_plotly, limits=\"default\")\n", + "\n", + "fig.show()\n", + "clear_large_plot(fig) # Uncomment to clear the Plotly figure to avoid memory issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compute and plot the power spectra of the evolved dark matter fields" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/ts1/input_ss_k_grid.h5'...\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mL0=32.0, L1=32.0, L2=32.0\u001b[00m\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mN0=128, N1=128, N2=128, N2_HC=65, N_HC=1064960, NUM_MODES=58\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read Fourier grid in data file '/Users/hoellinger/WIP3M/ts1/input_ss_k_grid.h5' done.\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/initial_density.h5'...\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/initial_density.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m][23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "|Read field in data file '/Users/hoellinger/WIP3M/ts1/lpt_density.h5'...\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/lpt_density.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m][23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "|Read field in data file '/Users/hoellinger/WIP3M/ts1/pmref_nsteps200_final_density_pm.h5'...\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pmref_nsteps200_final_density_pm.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm1_nsteps100_final_density_pm.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm1_nsteps100_final_density_pm.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm2_nsteps20_final_density_pm.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/pm2_nsteps20_final_density_pm.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/cola_nsteps10_final_density_cola.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/cola_nsteps10_final_density_cola.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/spm_nsteps200_final_density_spm.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/spm_nsteps200_final_density_spm.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m1_nsteps200_final_density_p3m.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m1_nsteps200_final_density_p3m.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m2_nsteps100_final_density_p3m.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m2_nsteps100_final_density_p3m.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m3_nsteps20_final_density_p3m.h5'...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n", + "[23:34:32|\u001b[38;5;246mDIAGNOSTIC\u001b[00m]==|\u001b[38;5;246mranges=[np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.float64(-16.0), np.float64(16.0), np.int32(128), np.int32(128), np.int32(128)]\u001b[00m\n", + "[23:34:32|\u001b[38;5;113mSTATUS \u001b[00m]|Read field in data file '/Users/hoellinger/WIP3M/ts1/p3m3_nsteps20_final_density_p3m.h5' done.\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores)...\n", + "[23:34:32\u001b[00m|\u001b[38;5;113mSTATUS \u001b[00m]|Getting auto-correlation in Fourier space (using 8 cores) done.\n" + ] + } + ], + "source": [ + "G = read_FourierGrid(input_ss_file)\n", + "k = G.k_modes[1:]\n", + "AliasingCorr = False\n", + "\n", + "DELTA = read_field(simdir + \"initial_density.h5\")\n", + "Pk_INI, Vk_INI = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_INI, Vk_INI = Pk_INI[1:], Vk_INI[1:]\n", + "Sk_INI = np.sqrt(Vk_INI)\n", + "\n", + "DELTA = read_field(simdir + \"lpt_density.h5\")\n", + "Pk_LPT, Vk_LPT = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_LPT, Vk_LPT = Pk_LPT[1:], Vk_LPT[1:]\n", + "Sk_LPT = np.sqrt(Vk_LPT)\n", + "\n", + "DELTA = read_field(simdir + f\"pmref_nsteps{nsteps_pmref}_final_density_pm.h5\")\n", + "Pk_PMref, Vk_PMref = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PMref, Vk_PMref = Pk_PMref[1:], Vk_PMref[1:]\n", + "Sk_PMref = np.sqrt(Vk_PMref)\n", + "\n", + "DELTA = read_field(simdir + f\"pm1_nsteps{nsteps_pm1}_final_density_pm.h5\")\n", + "Pk_PM1, Vk_PM1 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PM1, Vk_PM1 = Pk_PM1[1:], Vk_PM1[1:]\n", + "Sk_PM1 = np.sqrt(Vk_PM1)\n", + "\n", + "DELTA = read_field(simdir + f\"pm2_nsteps{nsteps_pm2}_final_density_pm.h5\")\n", + "Pk_PM2, Vk_PM2 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_PM2, Vk_PM2 = Pk_PM2[1:], Vk_PM2[1:]\n", + "Sk_PM2 = np.sqrt(Vk_PM2)\n", + "\n", + "DELTA = read_field(simdir + f\"cola_nsteps{nsteps_cola}_final_density_cola.h5\")\n", + "Pk_COLA, Vk_COLA = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_COLA, Vk_COLA = Pk_COLA[1:], Vk_COLA[1:]\n", + "Sk_COLA = np.sqrt(Vk_COLA)\n", + "\n", + "DELTA = read_field(simdir + f\"spm_nsteps{nsteps_spm}_final_density_spm.h5\")\n", + "Pk_sPM, Vk_sPM = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_sPM, Vk_sPM = Pk_sPM[1:], Vk_sPM[1:]\n", + "Sk_sPM = np.sqrt(Vk_sPM)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m1_nsteps{nsteps_p3m1}_final_density_p3m.h5\")\n", + "Pk_P3M1, Vk_P3M1 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M1, Vk_P3M1 = Pk_P3M1[1:], Vk_P3M1[1:]\n", + "Sk_P3M1 = np.sqrt(Vk_P3M1)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m2_nsteps{nsteps_p3m2}_final_density_p3m.h5\")\n", + "Pk_P3M2, Vk_P3M2 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M2, Vk_P3M2 = Pk_P3M2[1:], Vk_P3M2[1:]\n", + "Sk_P3M2 = np.sqrt(Vk_P3M2)\n", + "\n", + "DELTA = read_field(simdir + f\"p3m3_nsteps{nsteps_p3m3}_final_density_p3m.h5\")\n", + "Pk_P3M3, Vk_P3M3 = get_autocorrelation(DELTA, G, AliasingCorr)\n", + "Pk_P3M3, Vk_P3M3 = Pk_P3M3[1:], Vk_P3M3[1:]\n", + "Sk_P3M3 = np.sqrt(Vk_P3M3)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "kmin = 0.6773208379745483, kmax = 20.65121078491211\n", + "Nyquist (density grid): 12.57 h/Mpc\n", + "Nyquist (PM grid): 6.28 h/Mpc\n", + "Particle wavenumber: 104.72 h/Mpc\n", + "Split wavenumber: 10.05 h/Mpc\n", + "Short-range reach: 2.23 h/Mpc\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAB7gAAAcuCAYAAAB3kPiUAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAuIwAALiMBeKU/dgABAABJREFUeJzs3QeYU+eZ9/9bmt6rhqGXoXcYcDe4AO5xozi9GoeU/2aT2Jjs7htvSRwTZ993N4lZ7FQnWduAca8UG2zcGHo3DL0Mmsb0Lv2v5xDh0YxmVEY6R+fo+7kuXQNnjn7nPg8wlnXreR6b2+12CwAAAAAAAAAAAAAAUc5udAEAAAAAAAAAAAAAAASCBjcAAAAAAAAAAAAAwBRocAMAAAAAAAAAAAAATIEGNwAAAAAAAAAAAADAFGhwAwAAAAAAAAAAAABMgQY3AAAAAAAAAAAAAMAUaHADAAAAAAAAAAAAAEyBBjcAAAAAAAAAAAAAwBRocAMAAAAAAAAAAAAATIEGNwAAAAAAAAAAAADAFGhwAwAAAAAAAAAAAABMgQY3AAAAAAAAAAAAAMAUaHADAAAAAAAAAAAAAEyBBjcAAAAAAAAAAAAAwBRocAMAAAAAAAAAAAAATIEGNwAAAAAAAAAAAADAFGhwAwAAAAAAAAAAAABMgQY3AAAAAAAAAAAAAMAUaHADAAAAAAAAAAAAAEyBBjcAAAAAAAAAAAAAwBRocAMAAAAAAAAAAAAATIEGNwAAAAAAAAAAAADAFGhwAwAAAAAAAAAAAABMgQY3AAAAAAAAAAAAAMAUaHADAAAAAAAAAAAAAEyBBjcAAAAAAAAAAAAAwBRocAMAAAAAAAAAAAAATIEGNwAAAAAAAAAAAADAFGhwAwAAAAAAAAAAAABMgQY3AAAAAAAAAAAAAMAUaHDHiPXr18vSpUuluLhYcnJyxGazaQ/1a3XsgQcekDVr1ogZHT16VLu3uXPnSlFRkde9qWPLly+XCxcuGF0mAAAAAAAAAAAAgD6yud1ud19DEL1Uc/fRRx+91OAdMWLEpUdVVZVs375daxB7ZGdny+LFi2XZsmXar6OZasire1P34DFnzpxLdat7LikpuXTvjz32mDz00EOG1QsAAAAAAAAAAACgb2hwW5RqWqvZy+rr9OnTtRnaCxcu9Nm0Vg1gNQP6ySefvHRMnffUU0/J/PnzJdqoe1L3o2alK+r+VPNaNbd9UQ1wdX/qfNW8X7lypc4VAwAAAAAAAAAAAAgHGtwWpBq6N954o/brYJrUara3agR3Fm2zntWs7QULFlz6/erVqwO+P3Vv6h6DeQ4AAAAAAAAAAACA6EGD22LUbOzhw4dLbm6urFu3TluKPBhq1rdnZrRHtDSE1QxzNXPbM8N8w4YN2uztQPcf9yxlrmZ6q7EBAAAAAAAAAAAAYC40uC1GzW5Ws5y3bdsWUPO3K9UELi4u9jqmmsnHjh0zdE/uzs1tRTWoe1qSvCubzdbtGH/tAQAAAAAAAAAAAPOxG10Awjt7WzW3FdWkLioq6jYb2x/VFO/ayFa5nffn1ptqundubqsl0wNtbvd0/+qeAAAAAAAAAAAAAJgLDW4L6drMPXr0qLbkuPoaDF/Lmhu5pHfnPbdVbWpf8ECppdp9MXI2OgAAAAAAAAAAAIDQ0OC2kJ4a2Z5Z3X1pcJeUlIgR1MztzvcVTHPbMyO96/7hwWYAAAAAAAAAAAAAiA7xRheA8PHVmDYztTR556XR1azrrs3qQKxevVqb3a4a5TNmzAhpb3IAAAAAAAAAAAAAxqPBbSE97UsdbFPY1/7UPS31HUmPPvqo1+8XLlwYclage3YDAAAAAAAAAAAAiF4sUW4haobztm3bLs1QVl/V3tnBzuz2tdS53rOeVZO969LqnffiBgAAAAAAAAAAABB7bG632210EYguNpvN5zLfoSwPHqqlS5fK8uXLvY7xVxUAAAAAAAAAAACIbczghhe1V3VXoe593RddZ2+zbzYAAAAAAAAAAAAAGtzoNlO7q2XLlum+PHnXZdJnzJihaw0AAAAAAAAAAAAAok+80QUgeqjG8pNPPtlt5vRDDz1k+CzyoqKiHs9XzXBPQ1ztNx7snuOR0N7eLocPH/Y6lpubK3Y7nykBAAAAAAAAAAAIhMvlkqqqKq9jo0aNkvh4WpyxjD99eO173XVpcl8zuiNt3bp13Y51bVqrhvZjjz3WrSHvoZZUX7Roke5Lq3uo5vb48eMNuTYAAAAAAAAAAIBV7d+/X8aNG2d0GTAQ00lxac/rzs1i1dzetm2bIbOhe9oH3EPVqWZ0l5SUaA340tJScbvd2lf1e9XUVvezYMECKS4ulu3bt+t8BwAAAAAAAAAAAAAigQY3LjWDOy9LfuzYMcOW+u66/7ZneW9Pc/uBBx6QlStXag141cz21Km+qt+rJrf6nmqKq+a2anIvX75c9/sAAAAAAAAAAAAAEF40uGN4v23V2J47d+6l5rZnSXJPczjaqGa1am6rJcwXL17c67mqSb9hwwav5dfVcwEAAAAAAAAAAACYF3twxwjVyFYzo6uqqrTmdmeqmf3UU08Ztl91Z11r60w14h966CGZM2dOQFmqya1mensa256lzVVGpHlmnPfVj3/8Y13qBQAAAAAA0a2iokLGjx/fbf/J/Px8w2oCzK68vFz+9Kc/9XrO1772NXE4HLrVBADw/xooXD0YmBcN7hihmr1dlxxXDW/PQzWP1TmqGexvdnQkqQa8L88995z2vcceeyyoPHUv6jmeZc/VTG7VIFf3Gkl2e3gWR0hLS+MFNLpRe87X1NR4HcvKyhKbzWZYTdHE7OND/dauX4/xMfs9kE8++eQbeQ3yySeffLPlq+Z2oO8bROs9kE++kfnquHr/ra//zqw6Pkbnq/eDr732Wq9j7733ns/GVrTeA/nkkx/dPRiYFw3uGNFbY1gt/a0av+vXr9ca3Oqhzjdi5rCv/bc9s6+XLVsWUqaamd55D+77779fW4YdMCv1gqKxsdHrWGZmpmkaiJFm9vGhfmvXr8f4mP0eyCeffPKNvAb55JNPvlXz9bgG+eSbMT9crDo+Rud3dHRoK1V0PRbOawSKfPLJN+/7fbAmPuIAbTaz2te6cxNcNbzVct49NZyNWLo81JnlixYt6tbQV818AAAAAAAAAAAAAOZCgxuXqBnbnWdtq+a2anLr2Qzuad8Etby62is8FL6WIw92qXMAAAAAAAAAAAAAxmOJcnRr/KrlwNWMaY+5c+dKaWlptz289dTXPbNVc7zzPRkxg9vpdLKfNsJCLf2Snp7e7RisMT7Ub+369Rgfs98D+eSTT76R1yCffPLJt2q+Htcgn3zyyTcqX49rkE8++eZ9vw/WRIMb3ai9rtUS5Z15mtyR1tMs7b4219XM8M4Nbk+Te86cOX3KBYygXjyEc58oqzH7+FC/tevXY3zMfg/kk08++UZeg3zyySffqvl6XIN88skn36h8Pa5BPvnkm/f9PlgTS5SjG197XavlypcvX27YEuVqqfRwN87VvuMAAAAAAAAAAAAAzIMZ3PDZDO66pLfy6KOPeu3RHalrB9P47ouu9wcAAIDQVVdXy0svvdTrOXfeeafk5OToVhMAAAAAAACshwY3elwSfPv27d0awnos662urWaMh5OvBnlVVVVYrwEAABDL2tra5MSJE37PAQAAAAAAAPqCJcoR1J7Xeizr3df9tgPFDG4AAAAAAAAAAADAXGhwW4Rq1j7wwAPako/qoX7dlwZuT03mcM+s9mX69Om6zLbuaTl0AAAAAAAAAAAAANGJJcotYsGCBdry4R5PPvmk1owOdcZ1Xl6eYbOe586dK8uXLw/rdX01yPWaKQ6Em9vtltraWq9jmZmZYrPZDKspmph9fKjf2vXrMT5mvwfyrZ9fU1MT0Xyzjw/5xl6DfPLJJ9+q+Xpcg3zyzZgfLlYdH7Pk63EN8skn37zv98GaaHBbgGdv7K7UMdXkDqWRW1lZadis5xkzZnQ7Vlpa2qdMXw3yoqKiPmUCRlEvKBoaGryOZWRk8ILCIuND/dauX4/xMfs9kE8++eQbeQ3yySeffKvm63EN8sk3Y364WHV8zJKvxzXIJ598877fB2tiiXIL6G3Z8FBnPvf0PD1mPasmetdlyiOxNPqcOXPCngkAAAAAAAAAAAAgcmhwW0Bvs6p97WcdiJ4aymr5cD0sWrTI6/clJSV9yut6P6pRzxLlAAAAAAAAAAAAgLmwRLkF9NSoXblyZciZvhrKqpGu16znxYsXy9KlS71mlKtHKEuk+2rWP/DAA32uETCKWvolLS2t2zFYY3yo39r16zE+Zr8H8s2bn5KS4nOrmc5SU1O1pc1CyTf7+JBvjmuQTz755Fs1X49rkE8++eSHOz85OVm+853vdDsWzmsEinzyyTfv+32wJpu76ztMMKUFCxbImjVrtAa0mmU9f/78kGcoq4awr/2pH3roIXnsscdC2htc1RVsc1o1oZ988slLv1+9erV2X8FSGZ0b2qqO6upqiaTy8nIpKCjwOuZ0OsXhcET0ugAAAAAAwJp4rwEIP/VvaMWKFb2es2TJkm7/9gAA+uE1EHxhiXKLWLZsmfa1qqpKa0T3ZfltXzO/VVM4mOb29u3bZfjw4VrjXT3Ur9WxYKjrdW6KhzojvevzPGMFAAAAAAAAAAAAwFxocFuE2mtbLeutmsh9WX5bzbpevnx5t+NPPfVUUDk33nijltU5Vx0LRtemupoN7pkRHig1q71zY13NJFcfAAAAAAAAAAAAAABgPjS4LUTNVFaNbrUkt5o13bnBHCj1vK5UkzmYpcHVEue+rq2O+doPuzeqad953+9g7kudd//993s1zNUy5wAAAAAAAAAAAADMiQa3xWzbtk1rcquZy2pZ8M57WPujmsddZ0ir5nawM55zc3ND+l5P1q1bd6nJrZrWxcXFfhvl6vvqPE8zXC3ZrsYm2H3AAQAAAAAAAAAAAEQPGtwWpBq5qimtmrtqufKcnBzta0/Le6tmeFFRkfbVQzWCVWM5lOW81XN9zfhWx0JtMKtaPJmqea3qVUupd53NrX6/dOlS7fueJrhqjqsx6cu+5AAAAAAAAAAAAACMZ3O73W6ji0BkqAavmoHddRa3ajJ7ZlJ3nQmtvrds2bKw7FOtmuqrVq26tNR45/20Q6Wa8KqB3blu1bhWdXddGl0dV8u2d17iXC/l5eVSUFDgdczpdIrD4dC9FliP+rFdV1fndSwjI0NsNpthNUUTs48P9Vu7fj3Gx+z3QD755JNv5DXIJ5988qM5v6/vNUTDPZBPfrTlq39XK1as6PW5S5Ys6fZvL1bGx+h89V7vXXfd5XXsxRdf9DmJKlrvgXzyye87+i3wJd7nUViCp8GrGstq9raaBV1SUqI1gj0NYk9zWDWB586dG9ZmsLq2eoSTmsWtHup+1H7a6mtVVZV2P+o+1PLs6h4WLVqk/RqwIvWCor6+3utYenq6aRqIkWb28aF+a9evx/iY/R7IJ5988o28Bvnkk0++VfP1uAb55JsxP1ysOj5G57e1tcmmTZu6HQvnNQJFPvnkm/f9PlgTDe4Y4Fky3Ney4WalmthGzMwGAAAAAAAAAAAAYBz24AYAAAAAAAAAAAAAmAIzuAHAZNTSL6mpqd2OwRrjQ/3Wrl+P8TH7PZBPPvnkG3kN8sknn3yr5utxDfLJJ598o/L1uAb55JNv3vf7YE02t1o8H0BYlZeXS0FBgdcxp9MpDofDsJoAAAAAAIB58V4DEH7q39CKFSt6PWfJkiXd/u1BH/zcA6DwswC+sEQ5AAAAAAAAAAAAAMAUWKIcAAAAQJ/V1NTI22+/3es58+bNk6ysLN1qAgAAAAAAgPXQ4AYAAADQZy0tLbJ///5ez5k9e7Zu9QAAAAAAAMCaWKIcAAAAAAAAAAAAAGAKNLgBAAAAAAAAAAAAAKbAEuUAYDJut1vq6+u9jqWnp4vNZjOspmhi9vGhfmvXr8f4mP0eyLd+fl1dXUTzzT4+5Bt7DfLJJ598q+brcQ3yyTdjfrhYdXzMkq/HNcgnn3zzvt8Ha6LBDQAm46s5kJaWxgsKi4wP9Vu7fj3Gx+z3QD755JNv5DXIJ5988q2ar8c1yDc+v+xUhZw9XC2JKQmS6UiRcVPMVb8R+eFi1fExS74e1yCffPLN+34frIkGNwAAAAAAAACYVFN9q2x65pBsf++AuN2fHd8xolxGzyyUUTMKJKcwfM1cAAAAo9HgBgAAAAAAAAATOrm/Ujb8+YDUX2j2am4r1WUNsvXVY9ojb2CajCwukJHF/SS7X6pR5QIAAIQFDW4AMKGUlBSjS4hqZh8f6rd2/XqMj9nvgXxz5iclJcn48eP9nhNp0To+5JvnGuSTTz75Vs3X4xrk65ff3tYhH71wVHZtPHXpWGJ8z6+1Ks80SOWZY/Lxy8ckf3D635vdBZLlSLXk+ASaH87XsFYcH6PzExMTZf78+d2OhfMawSCffPKB6GFzq8XzAYRVeXm5FBQUeB1zOp3icDgMqwkAAAAAAJgX7zXAo/JMvaz7wz6tad1XjiEZl5rdmfk0LwAA0YfXQPCFGdwAAAAAAAAAEOXUPKXd75yWD9eWSke7KyyZ5SfrtMeHL5RKwdAMuXbRaCkckSV63lNzfZvUVDRJbUWT1Fe1aMf7Dc+UASOzxWa36VYLAAAwDxrcAAAAAAAAABDFGmpaZOPTB+TkvqqIXcN5ok6S0xPCntvW2iF1Fc1SW3mxiV1b/tmvayqapb2lw+fzMvOTZcK1A2Xslf0lNbPnZakBAEDsocENAAAAAAAAAFHq2K5y2fiXg9pM50hSy5VnFwS+J7eH2+WW+gstUlfZJDWqea2a2KqB/fdfN9a2hlRPbUWzNrP845ePyohpDpl47UAZMDpbbDZmdQMAEOtocAMAAAAAAABAlGlr6ZAtaw7LvvfO6nI9tQ93MHasOyn73z+rNbNd7e6I1eXqcMuREqf2yO6XKhNnDZQxVxRKclr4Z5sDAABzsBtdAAAAAAAAAADgM84TtbLq51uDbm7HJ9jlsjuGy9grCiUxJbi5TUXTg2twt7d2yIXzjRFtbnelrvf+6sPyp4e3yLnSGt2uCwAAogszuAHAZNxutzQ0NHgdS0tLY4kui4wP9Vu7fj3Gx+z3QD755JNv5DXIJ5988q2ar8c1yA9ffsXpenn+sW3icrmDys/oFyc3fHWc5PRL047N/sIYOXWwWo5sOy/HdlVIW7Pvva6VgqEZkuVICar+jNykgOsLpP7W9mavY4nxyT2Of0JSnBQMyTDlny/5gefX1NTIt771La9jv/vd7yQrKyts1wgU+eSTb973+2BNNLgBwGTUC4ra2lqvY6mpqbygsMj4UL+169djfMx+D+STTz75Rl6DfPLJJ9+q+Xpcg/zw5ecNTJNhk/Pl6M7ywMJtIlPnDJahl6VKXHzHpeukFqbK8Mn52qO9rUNO7quSI9uccmx3hbS3eDe7Rxb3C7r+jLxkCRe3uKWp1bt5khCfJDZ1cz6MvbK/xCXYDf/zbW1ul+pzjVJxpk6OHDiu7Tnudovk9E+V2Z+bJpl5PX9owKx/P/XMb21tlTVr1ngde+KJJ8J6jUCRTz755n2/D9ZEgxsAAAAAAAAAooRqGFz/pbFSdqxGGmtaez03PSdJbvzaeBkwKkvKysp6PC8+IU5GTHVoD7W0+Il9lVqz+7hqdre6pKjYEXSdmfnhad6GYsI1A3S9nqeRXXWuXqrU17MN2q/rq1q077vcLqltrLp0/qkDVXJ6W7Ncfe9omTR7oNjsNIEAAAgnGtwAAAAAAAAAEEWS0xNkzlfHy8v/vbPXPbOv++IYSU5LEJfLFXB2fGKcFE0r0B5tLR1yrvRCSDONUzMTtVnUHW2BX9sfe7zN757eg8bmSHa/VIl4I1trYjd6NbKD0d7mkvee+1SO7SqXm+6fqP05AQCA8KDBDQAmlJwcvmXArMjs40P91q5fj/Ex+z2QTz755Bt5DfLJJ598q+brcQ3yw5s/eHyuTLlxsOzacKrb/tOz7hstY64o9FoeNpT6VdaQ8XkBnds1X81KzsxLluqyxqAa2KqZrp6nZoBffCRLem6SuOKbJT4pTk7tq5KDH56TyuNtPjMmzhoooagpa5Xa8kYZPtUhrg63NkO+5nzT3xvZFx+hNLI9EuISfR5XM+YTU+It9/cz2vL1uAb55JMPRA+bWy2eDyCsysvLpaCgwOuY0+kUhyP45Z4AAAAAAAB4ryE2qb2z1/xim1Seqdd+3294psz9xnjJckRmBnOwXv3NLjmxt9LrWGpW4sUmtuPvTey8FMlyJEtGXoqkZSeJPcDlumvKm2T/+2flwAdnpamu7dKs8a88epXExQW+/7bHa0/s1pZk11N8ol0W/dNlEZtxbnX83AOg8LMAvjCDGwAAAAAAAACikNo7e+43x8uax7bJtLlDZMYtQ8UeQnM3UsZd3V+GTMi91MjOyE+WhMS4sGRnOVLkyruL5LI7hsvRneWy770zUjgiK6Tmdl1Vs5zYo29zW7n63pE0twEAiAAa3AAAAAD6rK6uTjZv3tzrObNmzZKMjAzdagIAALCCvAHp8pWfXSkp6b6XwDaS2sc70uLi7TJqRj/t4XaFthjp/i1nxdc6pu3xDXLBsb3X52aXT5f49rSgr6mWmJ8Q4nLqAACgdzS4AQAAAPRZU1OTlJSU9HrOzJkzaXADAICY09rcLh+9eFQu/9xwSUpNCCkjGpvbRlD7fgfL1eGSA++fFT0lpcbLDV8e67VHOgAACB8a3AAAAAAAAAAQAfXVzdrezxWn6qW5oU3mfXOC0SXFnON7KqWhplXXa167aLSk5yTrek0AAGIJDW4AAAAAAAAACDPniVqtud349+bq4a3nZejEPBlzeaHRpcWUfZvPhDUvJSNBcgekSW7/dMntn6r9Oqd/mjbLvqWxTT795LyMvqxfWK8JAAC80eAGAJNxu93S2NjodSw1NZVlrywyPtRv7fr1GB+z3wP51s9vaGiIaL7Zx4d8Y69BPvnkk2/VfD2uQb630u1OWf/H/dLe5rqU39reLOue3imZhTMkMz8lquu3Sn5NeZOcPFB1afw7S4wPbIb16JmFMnhYf69Gdm+vc0fMzNHuJZT6O9pcsve9MzJx9kCJi7Obfvz1ytfjGuSTT7553++DNdHgBgCTUS8oampqvI6lpKTwgsIi40P91q5fj/Ex+z2QTz755Bt5DfLJJ598q+brcQ3yP8vZ/tYJbc9tr+PilqbWBmlqFXntqRK5+YGJUVm/1fLVbOtZi0bLnk2n5NiRSq/vJcQnBZRRfMtQKSgo0KX+j185KjvePimHPiqTG782TvIGpIc1vydmz9fjGuSTT7553++DNdHgBgAAAAAAAIA+UrNv3/nbQa052ZvzJ2plz7unZcAXB+hWW6xKTI6XSdcNkvHX9pc9W3Pk3OEL0tbmkvTsJBk9Ybi4k5rlD3/eLtHg7JELsmPdSe3X5SfrZPXPS+TyO0fIlBsHG10aAABRhwY3AAAAAAAAAPRBU32rvPE/e+TcEe8Zbj3Zsf6UTLlqjAwoyol4bRBtlmHBkEzt4VFYmC0VFRUSDVqb22XDn/arqf6XdLS75IPnj8jx3RVy/ZfHGFkeAABRhwY3AJhQYmL3/Z5gnfGhfmvXr8f4mP0eyDdnfkJCggwdOtTvOWpps1gcH/LNcw3yySeffKvm63GNWM2vOtsgrz2xS2orvPd47irennDp13mD0iU9O7A9oM0+PtGcn5mZKfPnz+/1eeqcUPMDpRrZPf39OXv4gjz7H5/IpHkOGX15v4gtCRyNf77q/x9mz57d7Vg4rxEM8sknH4geNnek32ECYlB5eXm3vXmcTqc4HA7DagIAAAAAAObFew3R6eT+Snnryb3S2twR8HNGTHPInK+Pl4TEuIjWBnM4sbdSXv3NroDOHTopT67/0lhJywps/3AAsAJeA8EXu8+jAAAAAAAAAIAeqX20X/3N7qCa29NvHio33z+R5jY0zQ1tsvEvBwI+/8SeSnnm3z6WI9ucEa0LAIBoR4MbAAAAAAAAAALk6nDJ5uc+lc3PfipuV2CLY9rjbHLj18bJlXcVic0emSWmYT7N9W2SnNbzktu+tDS0y1tP7ZX1f9wvHW2uiNUGAEA0o8ENAAAAAAAAAAFoaWqX157YLXveOR3wc1QD884fTJOxV/SPaG0wn+x+qbJg2QyZOneISJCfezj0cZm8+dTegD9kAQCAldDgBgAAAAAAAAA/aiuaZO0vt8nJfVUBPyenMFXmP1wsA0ZlR7Q2mFd8Qpxcfe9IufuH0yQzPzmo5x7fXSElbxyPWG0AAEQrGtwAAAAAAAAA0ItzpTWy5rESqTrbEPBzBo/LkXsfKpYsR2pEa4M1DBiVI4v++TIZf82AoJ73yavH5MS+yojVBQBANIo3ugAAQHDcbrc0NTV5HUtJSRGbjT28rDA+1G/t+vUYH7PfA/nkk0++kdcgn3zyybdqvh7XsHK+Wgp6418OiKs98KWgJ84aKNcuGiX2OLvlx4f88OUnJsfL9V8aK8On5Ms7fzkojbWtl/Lb2lu8zk2IT7qY7xZZ94d9snDZTMnMTzG0/nDn19XVycMPP+x17Be/+IVkZGSE7RqBIp988s37fh+siQY3AJiMekFx4cIFr2PJycm8oLDI+FC/tevXY3zMfg/kk08++UZeg3zyySffqvl6XMOK+UmJSVLy+gkpeT3wJaBVOdcsHCWTrhvkVZsVx4f8yOUPm5Qvn/8/l8umZw7JkW1OcYtbGlvrvc7JjE8U29837m5paJc3n9wr9zw4XVvy3Oj6w5Xf3NwsTzzxhNexRx55pMcGdzTeA/nkkw9EBkuUAwAAAAAAAEAn7a0d8vbv9wXV3E5IjpPbvjtFJl8/mDf90WfJ6Qly0/0TZd43J0hSqv95auUn6+S95w7rUhsAAEajwQ0AAAAAAAAAf9dY2yJvPLlXjmx3BvycjNxkuffBYhk6MS+itSH2jJrZT+74/lSxx/v/0MT+98/KgQ/O6lIXAABGYolyADChhIQEo0uIamYfH+q3dv16jI/Z74F88skn38hrkE8++eRbNV+Pa1ghv/JsvbafccOFVklLDux6hSMy5ZZvT5bUzES/+ZFEvnXz+w3LlGvuGSNb1hzxe+6mZz6V/EEZ4hjSfRlvq46PXtcgn3zygehhc6vF8wGEVXl5uRQUFHgdczqd4nA4DKsJAAAAAACYF+81RN6x3RXasuTtLR1Bza694StjQ9r3GAiGeht/49MH5OCHZX7PzcxPlgXLZkpymrkbUvzcA6DwswC+MIMbAAAAAAAAQEzraHfJljWHg2puX3bHcJlx6zD22zax5uZmKS0t7fWcoqIiSU5OFqOpv2ezPj9Gyk/VS+Xp+l7Pra1olvV/2i+3LZksNjt/PwEA1kODGwAAAECfNTQ0yNatW3s9Z+bMmZKWlqZbTQAAAIGKi7fLrUsmy/PLt0lrU3vv5ybY5cavjpNRM/rpVh8io7a2VtasWdPrOUuWLImKBreSkBgntzwwUVb9vMTv39MTeypl25vHZcatw3WrDwAAvdDgBgAAABCWBvemTZt6PWf8+PE0uAEAQNTK7Z8mN90/QV79zW5xu3zv6piSmajNiu03PFP3+gAly5Eqc78+Xl57Yrffcz9+5ZgUDMuUIePzdKkNAAC92HW7EgAAAAAAAABEMdUInLVolM/v5Q1MlwUPz6C5DcMNm5wvxbcM9X+iW2Td7/dLbWWTHmUBAKAbGtwAAAAAAAAA8HcTZw+SydcP8jo2bFKe3PPgdMnIjY6lqoHL7hghg8bm+D2vuaFN3npyr3S0uXSpCwAAPbBEOQCYjNvtlubmZq9jai8om81mWE3RxOzjQ/3Wrl+P8TH7PZBv/fympiZT10++cfl6XIN88skn36r5elzDavnTbxso1ecb5dT+Kpk6Z7Bcec9IsdtDv5bVxscq+eFiVP3zvjlBVv18q9RXt/T6fOeJOvnktWNy5V1Flvzz1eMa5JNPvnnf74M10eAGAJNRLyiqq6u9jhUWFvKCwiLjQ/3Wrl+P8TH7PZBPPvnkG3kN8sknn3yr5utxDSvmz/vmeDm1v1pGzewXkXyzj48V8sPFqPpTMhLlpsUT5YXHt4urw/e+8crg8bnaBzWs+uerxzXIJ598877fB2tiiXIAAAAAAAAA6CIxJT4szW0gkgqHZ8m1C33vG6/MuG2Y3P69KZKSnqhrXQAARBIzuAEAAAAAAABYUmtzuyQm8xYorG3CrIFSdrRWDn1cdulYUmq8zPn6eBk2Kd/Q2gAAiARe3QGACcXH8+PbyuND/dauX4/xMfs9kG/OfPU8h8Ph9xyXyxViZYHXQb518/W4Bvnkk0++VfP1uEa05R/fUyHr/7Rfbl48SQaNyQl7frDIJz9S+WqZ4NlfHCMVp+uk8kyD5A9Ol1semCSZ+SlhyQ+HUPLj4uJk/Pjx3Y6F8xrBIJ988oHoYXOrxfMBhFV5ebkUFBR4HXM6nX7f9AUAAAAAAPCF9xoCp97u3LnulHzwwhER98WZrPMfniHZBalGl4Yoo/4NrVixotdzlixZ0u3fXrS64GyU3RtPy1X3FEl8Ys+NYAAwE14DwRf24AYAAAAAAABgCR1tLtn4l4PywdqLzW2lpbFdXn9it7Q0thldHhBR6kMcs+4bTXMbAGB5NLgBAAAAAAAAmF5TXau89F875OAH57p9r7qsUd763T5xdUR2uxQAAABEHg1uAAAAAAAAAKZWeaZeVv+iRM4dqenxnFP7q2TLmiO61gUAAIDwY1d4AAAAAAAAAKZ1fHeFvP37fdLW0uH33N3vnJbcAWky4dqButQGAACA8KPBDQAAAAAAAMB03G637Fh3Uj58ofTSftuBuHC+MZJlAQAAIMJocAOACf8HvqWlxetYUlKS2Gw2w2qKJmYfH+q3dv16jI/Z74F88skn38hrkE8++eRbNV+Pa+id39Hmkg+fPyaHPjofcIbdbpNZnx/tc/a21caH/MDyw8UK47Pr3eOSPzhD8gelR039DQ0N8stf/tLr2IMPPihpaWlhu0agyCeffPO+3wdrosENACajXlBUVVV5HSssLOQFhUXGh/qtXb8e42P2eyCffPLJN/Ia5JNPPvlWzdfjGnrmN9W1yjt/OShN5fFit9kDen5SWrzcvHiSDBqT4zff7ONDfuD54WLm8Wlv65BNzxySj9btlcy8ZLn9+1MkKSUhKupvbGyUf/3Xf/U69t3vfrfHBrdZ/wzIJz/W84FQBPYKEAAAAAAAAAAMVnWuQV79zS45f6I24OfkFKbK/KUzemxuA7GqtqJJ1v5yu+zfcvbi7yub5f1Vh7VmFgAA0YwZ3AAAAAAAAACi3sn9VbL5mUPS1toR8HOGjM+VefdPlKQU3gYFOjuxt1LW/WGftDS2d/t3tnfTGel/X3/DagMAwB9e2QGACcXFxRldQlQz+/hQv7Xr12N8zH4P5JNPPvlGXoN88skn36r5elwjUvlqNun2t07IO88eFHFLwMuST75hkFx970ixx9ktPT7kkx8Mt8stW187JltfP679e/Lo/O9qx1snZdzUETJkfL6ECz/jyCeffCCcbG7WGwHCrry8XAoKCryOOZ1OcTgchtUEAAAAAADMK1bfa3B1uGTTs5/K/vcuLqEcCLvdJrM+P1omXDsworXB/NS/oRUrVvR6zpIlS7r92zMztRy52sPen5SMBFn4k5mSnpMsRonVn3sAvPGzAL6wBzcAAAAAAACAqKOWIn9j5d6gmttJafHyuX+YSnMb6MHYKwpl4Jhsv+c11bXJG/+zJ6gtAQAA0AtLlAMAAADos6amJtmzZ0+v50yaNElSUlJ0qwkAAJhXc0ObvPbb3VJ2tCbg5+QUpsqt35ks2QWpEa0NMDO1ZP+8b06UVT/7RBpqWns913miTtb9fp/c/MAkbWUEAACiBQ1uAAAAAH1WV1cnb7zxRq/nDBs2jAY3AADwq7aySV799S6pLmsM+DlDJuTKvG9NlKQU3u4E/EnNTJSbFk+SF3+1XVyu3ncwPbarQt5fdViuXTRKbDaa3ACA6MAS5QAAAAAAAACiQsXpelm7fFtQze0pNwyW274zmeY2EIT+RVly9YKRAZ27593TsmvDqYjXBABAoGhwAwAAAAAAADDcmUPV8sLj2/wum+yhlky+/ktj5ZqFo7RllwEEZ9J1g2TUzH4BnbtlzRE5ss0Z8ZoAAAgEH2sEAJNxu93S2ur9P/uJiYksE2WR8aF+a9evx/iY/R7It35+S0tLRPPNPj7kG3sN8sknn3yr5utxjb7mq8bZuj/uE1e7u8f8dlfbZ9lJcXL794pl8NjcPlZujvEhPzL54WLW8VHPv+6LY6TyTJ2cP3XB63vx9oRu+ev/uF9SsxJlwMjsoK7DzzjyyScfCDca3ABgMuoFRWVlpdexwsJCXlBYZHyo39r16zE+Zr8H8sknn3wjr0E++eSTb9V8Pa7Rl/zd75yW91Z9KtLLVsBucUtDc63269SMRJn1tQkycHRwTTazjg/5kcsPFzOPT2JyvNz6ncnyh//ztjTWfdbAykzNFZt453e0u+T1Fbvl3geLJacwLSrq1+sa5JNPvnnf74M1sXYPAAAAAAAAAMPEJ9h7bW53ll2QIrd+Z5LkDgi8uQagdxm5yTL3G+MlISnO77ktDe3y6m92SWNtYFsJAAAQCTS4AQAAAAAAABhm/DUD5LI7hvs9r2Boptzy7cmSkZuiS11ALMkdkC7Xf2mMtre9P7UVzfLab3dJW0uHLrUBANAVS5QDgAnZ7Xw+ycrjQ/3Wrl+P8TH7PZBvznz1vNTU1IhkB1sH+dbN1+Ma5JNPPvlWzdfjGn3Jn3HrMGm40CL73jvr8/vDJuXLtM85JD7R/wxTK44P+eTrkT94bL5cPX+UbFl9xO/5zhN18vbv98kt354UUFM8lPrV8sf5+fndjoXzGsEgn3zygehhc6vF8wGEVXl5uRQUFHgdczqd4nA4DKsJAAAAAACYVyy81+ByueXNlXvk2K4Kr+Pjrx0gs+8bLfY43lxHeKl/QytWrOj1nCVLlnT7t2d1n7xyVLa+djygcyfOHiiz7hvNXrwAIiYWXgMheLwqBAAAAAAAAGA4NQt03jcnSOGIrEvH1NLl131hDM1tQEczbx8uY68oDOjcvZvOyM51pyJeEwAAnfHKEAAAAAAAAEBUUEuQ3/bdyZI3ME2u/9JYmXnbcGaGAjpT/+au+9JYGTQ2J6DzP1h7RA6XnI94XQAAeNDgBgAAAAAAABA1ktMSZMFPZsr4awYYXQoQs+Li7XLLA5Mkb2B6QOev/9N+OXv4QsTrAgBAocENAAAAAAAAIKrEsSQ5YLjElHi5/XuTJS07ye+5rna3vL5it1SXNehSGwAgtvFKEQAAAAAAAEBYud1uaW/rMLoMAH2UnpMst39viiQkx/k9t6WxXV759S5prG3VpTYAQOyKN7oAAEAIbxK0t3sdi4+PZ08yi4wP9Vu7fj3Gx+z3QD755JNv5DXIJ5988q2ar8c1Oue7XG7ZsuawXDjXLJ/7h6kSnxAX1nwz/hmQH5354WLV8fHk5w9Kl1sWT5JXf7NL+/fdm7rKZnntt7vkrh9Ol4SkuD7V39TUJH/4wx+8jn3jG9+QlJSUoO+hr8gnn3zzvt8Ha6LBDQAmo15QlJeXex0rLCzkBYVFxof6rV2/HuNj9nsgn3zyyTfyGuSTTz75Vs3X4xqefDVr+73nPpXjeyolMzVX1v/xgNz0rQlis9ti+s+A/OjMDxerjk/n/MHjc+W6L42VjU8f8JvnPFEn2944LlfcVdSn+uvr6+V73/ue17GFCxf22OA2eozIJ598QD8sUQ4AAAAAAACgz1qa2mTd7/drzW2P0u1OeW/1Ye3NcQDmNu6q/jLz9uF+zyuaXiAzbhumS00AgNhEgxsAAAAAAABAn9RXt8gbK/ZI2bGabt/b885p2fH2SUPqAhBeM28bJmOv6t/j96fOHaKt2hCOrQkAAOgJS5QDgAmx/Iu1x4f6rV2/HuNj9nsgn3zyyTfyGuSTTz75Vs2P5DUqz9TLy7/eIRfON4lNfF/jwxdKJS0rUcZc0XNjzOp/BuSTb4V8dd51XxwjDdXNcupAdadviFy7cLRMvn5Qn/KtMEbkk08+EHk2N+sDAWGn9qMoKCjwOuZ0OsXhcBhWEwAAAAAAMK9ofa/h6M5yWf/H/dLW0uH3XLvdJrd9d7IMmZCnS22AP+rf0IoVK3o9Z8mSJd3+7UGktald1j6+XfuAS3yCXeZ+c4KMmOqIiZ97APTFzwL4whLlAAAAAAAAAIKi5syUvHFc3li5J6DmthKXYGcGGGARiSnxcvv3pohjSIbc+cNpYW9uAwDQG5YoBwAAANBnzc3NUlpa2us5RUVFkpycrFtNAAAgMtpbO2TjXw7K4a3nA35OSmai3PH3ZhgAa0jPSZIFy2bwwRUAgO5ocAMAAADos9raWlmzZo3f5R1pcAMAYG711S3y+ordUn6yLuDnZBWkyB3fnypZjpSI1gZAfzS3AQBGoMENAAAAAAAAwK+yYzXyxoo90ljbGvBzCoZmaMsYp2QkRrQ2AAAAxA4a3AAAAAAAAAB6dejjMnnnLwelo90V8HOGTsyTm+6fKAlJcRGtDQAAALGFBjcAmFB7e7vX7+Pj+XFupfGhfmvXr8f4mP0eyCeffPKNvAb55JNPvlXzQ72Gy+WWj14olR3rTvo9t8PVcenXk68fJLMWjhF7nF3Cxex/BuSTT753fnVZg+QUpkX0GuFEPvnkRy4fCBZ/AwHAZFwulzidTq9jhYWFYreH700DMzP7+FC/tevXY3zMfg/kk08++UZeg3zyySffqvmhXqOlqV3W/X6fnNhb6T/f7ZK6pmqxx9nkyruLZPTMLJEwbs1r9j8D8qMzP1ysOj6Ryne73XJ6e7Nsf+OkLPjJDMkflBH2a5h9jMgnP5bygVDwtw8AAAAAAACAlwvORnn+sZKAmtseyekJ2pLko2eGr3EIwFo6OlyyZc0R+eTVY9oKER+uLTW6JACACTGDGwAAAAAAAMAlpw5WyVtP7pWWRu/lSHuTNzBdZtw7QtJzkiNaGwDzam1ql3f+96Cc/fSCZKbmasdO7q+SUweqZPC4i78HACAQzOAGAAAAAAAAoC0bvPudU/LKf+8KqrldNM0h9z5YTHMbQI8aa1rk9ZV7tOZ2Vx+sPSJul9uQugAA5mRzq1euAMKqvLxcCgoKvI6pPSocDodhNQEAAAAAAPOK9HsNHe0u2fzsp7L//bNBPW/m7cNl5q3DxGYP44bbACyl4nS9vPbbXVJf3dLjOXO/MV5GX8b2BgC6o98CX1iiHAAAAAAAAIhhTXWt8sbKPXLuSE3Az4lPtMucr42XounebzgDQFd7N5/ptbmtfPTSUSmaViBxCSw6CwDwj/9aAAAAAAAAADE8s3L1oyVBNbfTc5PkngeLaW4DCMjM24ZpH4rpTV1ls+zZdFq3mgAA5kaDGwAAAAAAAIhBDTUtsvaX26Suqjng5/QvypIFD88Ux+CMiNYGwDrSspJk6twhfs8reeO4tDS26VITAMDcaHADAAAAAAAAMdp0mnzDoIDPH3dVf7nzB9MkNTMxonUBsJ5pc4dISkZCr+e0NLTL9rdO6FYTAMC8aHADAAAAAAAAMeryO0bI8Cn5vZ5js4lcs2CUXP/lseyPCyAkicnxMvO24X7P27XhdFCrSgAAYlO80QUAAILX0dHh9fu4uDjDaolGZh8f6rd2/XqMj9nvgXzyySffyGuQTz755Fs1v6dr2Ow2mfP18dpS5ZVnGro9Jyk1XuZ9a4IMGZ8XUn44kU8++ebOH3NVP9mx/rjUOJvEbved39Hukk9eOSo3fnW8tLS0yMsvv+z1/c997nOSlJTU4zXMPkbkkx+r+UCwaHADgMm4XC45f/6817HCwkKx2/kUvRXGh/qtXb8e42P2eyCffPLJN/Ia5JNPPvlWzfd3DTWz8tYlk2X1L0qkuf6z/W+z+6XKbd+ZrH01+h7IJ598a+QXXZMp7/7trGSm5ord5jv/4EdlMnXOEHElNsnChQu9vud0OsXhcBh6D+STT7653u+DNfG3DwAAAAAAAIhxmfkpcssDE8Vut2m/HzIhV+YvLQ6ouQ0AgRo2KU8cQzJ6P8kt8sHaUr1KAgCYEA1uAAAAAAAAADJgVI7M+vxomTJnsNz23SmSlJpgdEkALMZms8mMW4b5Pe/kvko5e7hal5oAAObDEuUAAAAAAACARZw7ckEqzzbIxFkDQ3r+hGtDex4ABKpwRJYMm9QiJ/dW9Xre1teO61YTAMBcbG632210EYDVlJeXS0FBQUD7wwCh6PqjW336FdYZH+q3dv16jI/Z74F88skn38hrkE8++eRHa35v7zWo554+WC0lrx+Xs4cvSFy8Xb78H1dKWnZSVN0D+eSTT75H9blGefbfP5beuhN1TRdk2dP3Bvweq9XGiHzyYym/N/Rb4AszuGPE+vXrZd26ddrXo0ePyoULF7Tj2dnZMmLECJkxY4bMnTtX5s+fL2ag7mPlypXavXjuR92Heqj7WLx4sXZvgFWZrWGoN7OPD/Vbu349xsfs90A++eSTb+Q1yCeffPLNlK/ebD62u0JrbDuP11463tHukh3rT8o180f1+RrBIJ988skPND93QJqMu6q/7N9yLmLXCDfyyScfiB7M4La45cuXy6OPPnqpoe1pAqtHVVWVbN++XWsQe6imsGoOL1u2LCobxOp+PI1tVd+cOXNk5syZ2q9LS0u1xre6J0V9T52r7lVvfKIIAADEmtbWVjl79myv5wwYMEASExN1qwkAACvx9V7DyqVvStsF3/tkxyfa5Ss/v0pS0vlvL9CTmpoaefvtt3s9Z968eZKVlaVbTbGk4UKL/PVfPpT2NldYZnADsCb6LfCFGdwWpRrAaiaz+jp9+nR54IEHZOHChT6b1qr5vXTpUnnyySe1X6smsvr1U089FTUzujvfj/LQQw/12IRXTW51v+prUVGRPPbYY9r5AAAAiBz1OvLPf/5zr+csWbKk2/+UAgCA0FWda5CMFN8TFNpbXbJrwym54s4i3esCzKKlpUX279/f6zmzZ8/WrZ5Yo7ZRmDJnsGx744TRpQAATMZudAEIPzWDubi4WJuhvXr1atm2bVuvS3ar42qms2oEd36DcsGCBVqzO1rux9PcVvekau3pftTMbTWbW31VVPNeNbwBAAAAAADMqL2tQw580PtKKb7seee0tDS2RaQmAAiH6fOGSnK675UoAADoCQ1ui1GN6RtvvFFyc3O1xnYwM7DVLGdPU9hDNYfXrFkjRt+PZ4l11YgP9J7UnuOe5cnVjPRoaNYDAAAAAAAEqq2lQ3auPyl/+ecP5YO1pUE/v7W5Q/a8eyYitQFAOCSmxMvM24YZXQYAwGRocFvM/fffrzWD1SznUPae7jyLu2umEdQscs+11VLraiZ6MFRDvHOzvvN+44CZuVwurwesNT7Ub+369Rgfs98D+eSTT76R1yCffPLJj4b8pvoWKXn9uDz9kw9ky5oj0ljTGnLunk2nxdXhstwYkU8++dbJn3DtQMl0pET0GuFAPvnkR/b/9YBgsAe3hahGsGe2tVrSWzW4VYO366zs3qgmslr6u3NDW/1azYDWex9rtYe2enioPbeDpe5d3ZNa5tzTMFcz2wEzUy8gysrKvI4VFhaK3c5nlqwwPtRv7fr1GB+z3wP55JNPvpHXIJ988sk3Or+poVX2v39WDm45J8lxWWK3hZ4fF2+X8Vf3l6nzhog9zm6ZMSKf/HDmh4tVx0evfPXz6oo7R8jbv9vnN6vqXL04HI6gr9FX5JNPvnnf74M18bfPQjo3gxU1W3nu3LlBz1r2NfNbLfetNzXj2kM13YNZbr2zRYsWXfq1anR7mt0AAAAAAADRssf2treOy5pHS2T3xtPS2tIRclZ8UpxMnTtEvvyzK2XW58dIZl7fZ0UCQKSNLC6QgqEZfs9Tq1sAAECD20J6amQHu4e2rwZ3SUmJ6KlrIzqYWehddW2Md162HAAAAAAAwEgNNS3ywq92aI3t9rbQl/xMSo2XGbcNk6/+7Cq5+t6RkpaVFNY6ASCSbDabXHXPSL/nnTpQLWcOVetSEwAgerFEuYWEsud2tOrahJ45c2bYxkUtt06TGwAAAAAAGK3yTL28+ttdUlvZFHJGSkaCTLlxsEyaPUgSU3irDwhGUlKSjB8/3u850MfAMTkydFKenNhT2et5H6w9IvMfnqE1xQEAscnmdrvdRheB8FB7Zefk5HQ7XlpaGlTzWy1r3nW5c/V8laMXdR+d9wFXS6T3ZRZ3UVGR1wz31atXh7zkeSDKy8uloKDA65jT6fS5PwwQ6r4nnbHfibXGh/qtXb8e42P2eyDfnPnqeU1Nvb85n5LSfYnUaKmffHPk63EN8sknn3y98o/vqdD2m237+3LkLneX/C77b9c1XZBlT9/rdWzjmh1yzR2TJCExzpJjRD755Mdevvrgz3P/8YmoroX6udjQXOv1/bTkTO3n47xvTZBRM/qFdI1QkU8++ZHL7w39FvjCxzotRO1TvW3bNrn//vu15b2nT58ujz32WNAzu30tda6y9KKu37m5HY7Z6ar+zvelGuaRbHADkWa2hqHezD4+1G/t+vUYH7PfA/nmzFfPS0tLC3s9odRBvnXz9bgG+eSTT74e+bvfOSXvrzqsNXB6amgHYuKsgQE3t802RuSTT35s5ucNTJexV/aXAx+c034uZqRkdzvHZrfJhfONIV8jVOSTTz4QPWhwW4xq5Komd1/4anAvWrRI9NJ19ng4Gty5ubl+rwEAAAAAABBJrg6X1tjes+lM0M/NLui+EgoAWNFldwyXw1vPS3ub94xRZfiUfLny7iLJKTT+w7UAAOPQ4Ibfxq+aGa7nbGc1uzrc1D34a+IDAAAAAABESmtTu7z1u71ycl9VUM/LH5wuM24ZJhkDRZY8HrHyACBqpOcky+QbB8v2N09cOlY4IlOuumek9B/ZfUY3ACD20OCGF7U3dVfLli3TtYauzeeuzelQ5OXldTvmWcYdAAAAAAAg0j557VhQze3cAWnaLMWhE/PEZrNp+08CQKyYftNQ2f/eWUlOT5Ar7hohI6Y6tJ+FAAAoNLhxidr3+sknn/Q6phrADz30kKEN7q7Li4fCV5NcXYcGNwAAAAAA0MPld4yQM4eqpeJUvd9zh07Kk3nfnCCJybx1ByA2JaXEy10/nCbZhakSF8fevwAAb7xKxiVLly7t1hT2NaNbj0a7HlimHGbmdru9fs8nWK01PtRv7fr1GB+z3wP55JNPvpHXIJ988smPVH5CUpzc9p0psuYXW6WhprXH/Mk3DJKr54+KSEMn2seIfPLJJ7+zDEeivPfeZq9jV111lSQmJobtGsEgn3zyI5cPBIsGNzRr1qzxmr2tmtvbtm2TESNGGN7cDscS5b5mgVdWVvY5FzCCy+WSsrIyr2OFhYVit/NpViuMD/Vbu349xsfs90A++eSTb+Q1yCeffPIjnZ+ekyS3fXeKrH18m7S3uj7Ld7ukrrlaLr9juIy8KkPOny/jZyj55JMf8/k1NTVy/fXXex1zOp3icDjCdo1AkU8++eZ9vw/WxN8+aM3tBQsWXPq9Wrb72LFjuje3laqqwPei6itmcAMAAAAAAL05hmTI3G9MEOk08SkxOU7mfm2cjLtqgJGlAQAAAKZAgztGqZnSqrE9d+7cS81tz5LkauZ2OGZNh1oXAAAAAACAlY2Y6pCr7h6p/TojN1nuebBYBo7pvvocAAAAgO5YojxGqEa2mrGsZkh3bSKrZvZTTz0l8+fPF6PpOYNb72Z6QUFB0M/56U9/Ko888khE6gEAAAAAAMaZOnew9nXMFYWSnB4vZWX1RpcEAAAAmILN3XVneFjS0qVLuzV0VcPb8/AsTf7AAw/I4sWLDapSZP369VozvjNVl5pVHu7cOXPmyLp16yQSysvLQ2pod0WDGz3p6Ojw+n1cXJxhtUQjs48P9Vu7fj3Gx+z3QD755JNv5DXIJ5988qM139d7DT3tRRvqNfqKfPLJJz+c+cH+3IvGeyCffPL7LhyvgWA9zOCOEY899liP39u+fbvWAFdNYNXgVg91/kMPPaRrjQACZ7aGod7MPj7Ub+369Rgfs98D+eSTT76R1yCffPLJt2q+Htcgn3zyyTcqX49rkE8++UD0oMENbYa0msm8fPlyrdGtqK8rV67Ujo8YMULMjr29AQAAIqu9vd3vdjO5ubkSH8//ggAArMHlcssHa49IakaiTL9pqNHlAAiBmgG4YsWKXs9ZsmRJWFZqROS1NrfLrg2nJC07ScZfPcDocgAAEcS7S7hEzdiurKzUGt2KWrq8qKhIa3Kr5bz1oN70BAAAgPmo5jZvDgIAYqmJsu4P++X47goRm0h2QaqMmMYymQBgBFeHS/ZvOSefvHpMmmpbJSUjQUYWF0hiMu0PALAqu9EFILqopcmzs7O9jqm9qz37dKNvnwhVW94H82D/bQAAAAAAokt9dbO88KvtF5vbiltk3R/2ifNErdGlAUBMUe+fHt1ZLs/82yey6X8Pac1tpamuTXasO2l0eQCACKLBjW6WLVvW7ZhqclttefGujXwAAAAAAIDeqCb26l+USMWpeq/j7W0uee2J3VrzGwAQeedKa2TtL7fLG/+zRy6cb+z2/Z3rTkpDTYshtQEAIo8GN7pZvHhxt2NqBrdn6fJIilTT2dd+kFbYWxwAAAAAAOijdIdTXnh8uzTWXJwh2JU6rprcavlyAEBklyRf/8d9Una0psdz2ltdsvXVY7rWBQDQD5tQwGeTWT26zpx+9NFHtX26I0nPpnNeXp5u1wLCyeVySVlZmdexwsJCsdv5zJIVxof6rV2/HuNj9nsg3/r5Z8+ejWi+2ceHfGOvQT755JPfk93vnpJXfv+h17HM1Fyx27zz1cxutTf3Ld+eJHa7LeB8foaST74x+eFi1fGJ1nx7nF0u/9wI7eftpWu4XVLb6D3Jae/7bpl0/SDJG5AusTZG5JNvpnwgFPztQ8CNZtXwXr9+ve6zuH3Nvg7HMucsUQ4AAAAAAPw5fbBKNj17KPDzD1VL9bmGiNYEALFu1Ix+4hiS0es5bpdbNj/zqbZXNwDAWmhwI6iZ1OvWrYv4tXNzc8O+B3dlZWW3YzNmzOhzLgAAAAAAsK7mhjbZ8OcDIgH2RtKyk+SeH0+XvIF9ny0IAOiZzW6TK+8p8nve2cMX5NBH3jNPAQDmR4PbIlQT+IEHHpCcnBztoX7dl8ZwTw1utRd3pE2fPj3smb7Ggj24AQAAAABAbzY/+6nUV7cEdK6aSbjg4RniGNz7jEIAQHgMHpsrQyZ4T5byZcvzR6S5vk2XmgAA+rC5WZ/DEubOndtt+fA5c+aEPON6+fLlsnTp0m7H+5LZl2tXV1f3aUnxBQsWyJo1a7ya26WlpRIp5eXlUlBQ4HXM6XSKw+GI2DURW9rb271+Hx8fb1gt0cjs40P91q5fj/Ex+z2Qb8589Tx/W8t0XaknmHyzjw/55rkG+eSTT77Hp1vLZN3vP9vftcPV4fX9OHvcpV+PmOaQOV8bLwlJnx0Ld/3heK/BbH8G5JMf6Xz1b2jFihW9Pm/JkiXd/u0Fmh9OsZivnnPokPcWEWPGjPF6bsXpeln1s09EdTl6+zk9/poBcv2XxlpujMgn3yr5vaHfAl/M9Y4zfOppb2x1TM24DmWmsq8lvfXat1o10btS99GXmd1dZ54zextmZ7aGod7MPj7Ub+369Rgfs98D+ebMV88L5I2/SIvW8SHfPNcgn3zyyVfqqpq1fVt7apR0Nv2mIXLFnUXacrl9wc9Q8sknn/zuz5kwYUKv5+QPSpeJ1w2SPe+c7vHntLL//bMy9sr+0r8oK+g6OtcTSeSTH8v5QLBYotwCels2PNRlynt6nh6NYV+N7JKSkrCOkZrRDQAAAAAA0JXb5db23W5p9J6p5Iva//XKu0f2ubkNAAjd5Z8bIalZiX7P2/S/B6Wjw6VLTQCAyKLBbQG9zaoOddZzT01ztRS6HubPn+/1+74sJ66a9V0b9gsXLgw5DwAAAAAAWNeujafkzKFqv+cNGZ8r0+YO0aUmAEDPklLi5ZoFo/yeV3mmQXZvPK1LTQCAyKLBbQE9zapeuXJlyJm+ZkyrRrqv5cMjYdmyZV6/97UEe6C6Plc1z/VYah0AAAAAAJhL5Zl6+ejFnlfK80hKi5cbvjJObDZmbgNANBhZXKB98MifT149pm1DAQAwNxrcFuGZ8awa0I899pg243nx4sUhz972tUR5sHkqY82aNdoj2KXS1czzzrPPt2/fLqFat26d1+8feOCBkLMAAAAAAIA1dbS5ZN0f90tHu//la6/7wlhJy07SpS4AgH/qA0fX3jda4uJ7b3m0t3TIe899qltdAIDIoMFtEZ4Zz1VVVfLQQw/1aa9sXzO/1Yxn1TgPlGpIDx8+XNvrWj3Ur4NtUnedxf3kk08G9Xxfz1NNc71moQMAAAAAAPP4+JWjUnm63u95Y64o1GYKAgAiq729Xfbt2+f1UMd6kl2QKsW3DPWbe2xXhRzbXRHmagEAeorX9WqIGNW4VTOsVTNXzVAOdXlyNdN6+fLl3Y4/9dRTQeXceOONXrO21a/Vsepq/3tYdZ6Vru7L0xhXDfZgZ5F3vZfVq1cH9XwgGrlcLjl//rzXsX79+ondzmeWrDA+1G/t+vUYH7PfA/nkk0++kdcgn3zyYzf/zKfVsmPdyZ7z3S6pa6yW9JwkGTkrQ86dOxdV9UfDNcgn34z54WLV8TE6X72XPHHiRK9jTqdTHA5Hj9foPylR3Bsapba8STJSc8Ru832N9579VAaNyZGEpLiI3kOgyCc/lvOBUPC3z0JUU1s1hFWTW82aDnZZcEU9ryvVWPYsgd6XJc7VMfW9YKiGtGe/bPVcX833nqjrLV261Os++jKzHYgmbrfb6wFrjQ/1W7t+PcbH7PdAPvnkk2/kNcgnn/zYy29papf1f9ov4ucpbptbrlk4UhKT46Kq/mi6Bvnkk0++Ufmea9jjbXLFXcPF7eeHutqHu+T1YzE1RuSTH835QLBocFvMtm3btCa32vdaLQsezLLeqrm9fv16r2OqKayWPA9Gbm5uSN/zRTWkN2zYcOn3qmGt7s0fz4zxvtwHAAAAAACwPrUXa31Vi9/zJs4aKIUjLn4IHwAQvQaMzJGiqd1neXe1c90pqTzrf2sKAED0ocFt0Sa3auaqJq9arjwnJ0f72rV57aEaxkVFRV6NYzVret26dSE1hdVzfc34Vsc8s7GDoRr26p48s69VI763mdxqSfPi4mKvpc1pbgMAAAAAgK6ObHPKoY/K/J6XNzBdps/1v68rACA6zLx9uCSm9L5Dq8vllk3/e0jcLmajAoDZ2NysJWBZaklv1dztOotbNZk9M6m7Lhmuvrds2bKwNIRVU33VqlXar9Xe2aqWvlIzuNX9qOa9qnXhwoVaM1spLS3VmviexrZqqBu1LHl5ebkUFBQEtD8MECz1Y7u9vd3rWHx8vNhsNsNqiiZmHx/qt3b9eoyP2e+BfPLJJ9/Ia5BPPvmxld9woUWe+fePpaXB+3ldxcXbZf7DxZLVLzmo/HDX39f3GqLxz4B88o3OV/+uVqxY0etzlyxZ0u3fXqyMj9H5wfzc83WNg1vKZPOzh/3Wd8NXxsq4qwZE5B4CRT75sZzvD/0W+EKDOwaoZrBq/KoZ2SUlJV57ZKvmr2oUz5kzR+bOnat9NQM12/y5557T7sVzP+o+1P2oe1i0aJE289so/MAFAAAAACB6qbfDXvn1Ljm1v8rvuVfPHylT5wwRo/FeAxB+6t9QOBrciM6fe2qG9vPLt4nzeG2v5yWnJcgX//UKSU5P6FO9ACKD10Dwpfc1OmAJniXDfS0bblZWux8AAACzc7lc0tTU1Os5KSkpYrezSxIAwHh73j0TUHN70NgcmXLDYF1qAgCEl91uk+u+MEZWP7pVepvm19zQJh+8cERu+PI4PcsDAPQBDW4AAAAAfVZRUcHsFwCAKVSda5AP1h7xe15Sarzc+NVxYrObY7sdAEB3jiEZMun6QbJ74+lezzuw5ZyMvbK/DBiZrVttAIDQMX0CAAAAAAAAMePjl45KR5vL73mzPj9a0nO8990GAJjP5XeMkLSsRL/nbfrfQ9LR4f+/DwAA49HgBgAAAAAAQMy44avjZMwVhb2eM2pmPxk9s/dzAADmkJgSL9csHO33vKqzDbJrwyldagIA9A0NbgAAAAAAAMSMpJR4mfO18XLT/RMlKa377n3pOUky6z7/jRAAgHkUTXfIkAm5fs+rOd+oSz0AgL5hD24AMBmXyyVOp9PrmNrP1G7nM0tWGB/qt3b9eoyP2e+BfOvnl5WVRTTf7ONDvrHXIJ988mMrf2RxgfQvypKNTx+Qk/urLh1X+24npyVEff3Rdg3yyTdjfrhYdXzMkh/INWw2m/bhpWf+7ROf21RkFaTI7M+PkcHjci05RuSTH835QChocAOACakXFbDu+FC/tevXY3zMfg/kk08++UZeg3zyyY+t/LTsJLn9+1Nkz7tn5IO1R2TirIEyaGzPzY1I4mco+eSTT35kr5HlSJUZtwyTj18+eumYPd4mxTcPk+k3DZH4hLg+5fcV+eTHcj4QLBrcAAAAAAAAiFlqVt/k6wfJ4HE5kpGXbHQ5AIAImjZ3iHz6SZlUlzXKoLE52qzt7H6pRpcFAAgSDW4AAAAAAADEvJzCNKNLAABEWFyCXa774lhpuNAiI2cUaB9yAgCYDw1uADAZ9cI7Ly+v2zFYY3yo39r16zE+Zr8H8s2bn52dLV/96ld7PScnJ8fnNWNhfMg3xzXIJ5988q2ar8c1yCeffPLDnZ+VlSXvvPNOt2N9vcaAUdkBVB16fijIJz+W84FQ2NxutzukZwLoUXl5uRQUFHgdczqd4nA4DKsJAAAAAACYF+81AOGn/g2tWLGi13OWLFnS7d8eAEA/vAaCL3afRwEAAAAAAAAAAAAAiDI0uAEAAAAAAAAAAAAApkCDGwAAAAAAAJZRfrJO2JEPAAAAsC4a3AAAAAAAALCEsmM1svoXJfL6ij3SWNtqdDkAAAAAIoAGNwAAAAAAAEyvraVD1v9xv7hdbjm+u0Ke/feP5diucqPLAgCEyOVySXl5uddDHTNKU32rdLQbd30AwGfiO/0aAGCiF/edORwOsdv5zJIVxof6rV2/HuNj9nsgn3zyyTfyGuSTT76581/5/Ydy6njZZ8fc2dpM7vFX95erF4ySxOT4mB0fPa5BPvlmzA8Xq46P0fmVlZVSUFDgdczpdPr8s4vkPagPTu3bckbe/luJTJw9UKbcMCSs+dH8Z0A++XrkA6GgwQ0AJtTR0WF0CVHN7OND/dauX4/xMfs9kE8++eQbeQ3yySffnPnH91TIgQ/P+vze/i3n5PSnF2Tu18dL4YismBwfva5BPvnkk29UfqSuUXmmXt792yE5W1otTY2tsuPtEzJ0Uq5k5KaE/Vpm/zMgn3xAT3y8AgAAAAAAAKbVXN8mG/96sNdzasub5MX/u4N9uQEAAW978cHzR+S5n22VsqM1l463t7vko5eOitvtNrQ+AIh1zOAGAAAAAACAaW1/+4Q0BdC4nnHLMEnNTNSlJgCAeR3dWS7vrfpU6qtafH7/9MFqObGvUvr37697bQCAi2hwA4DJ2Gw2yc3N7XYM1hgf6rd2/XqMj9nvgXzyySffyGuQTz755stvb+2Q/VvOik1skpaU6Z0vn+Wrpcmn33Rxz9RYGh89r0E++eSTb1R+OK/h6rg4Q7trc7vrf2f2vV0hxdd2SFJKeBbJNfufAfnkA3qjwQ0AJqNePCQnJxtdRtQy+/hQv7Xr12N8zH4P5JNPPvlGXoN88sk3X/6RbU5paWjX8hPifc/OTkiKkzlfHy/2OHvMjY+e1yCffPLJNyo/nNdQ/6247guj5YVf7eiW3/m/M631IltfOy7XzB/V52ta4c+AfPIBvbEHNwAAAAAAAExp7+Yzfs+5ZuEoyXKk6FIPAMD8BozKkbFXFvo9b/fG01J+sk6XmgAA3pjBDQAAAKDPnE6nrFixotdzlixZIgUFBbrVBACwNtVUOH+sttdz8gamy7ir2CMVABCcq+4ZKcd2V2irhPTE7XLLhqcPyIJlMySuD6uEAACCx09dAAAAAAAAmM7eTaf9njNx9kD2iAQABC0lI1Guunuk3/MqT9fL9jdP6FITAOAzNLgBAAAAAABgKi2NbfLpJ+d7PSchOU5GX9ZPt5oAANaiVgApHJHl97yS149L5Zl6XWoCAFxEgxsAAAAAAACmcvCjMmlvc/V6zpjLCyUxmd35AAChsdltct0Xx2hfe+PqcMvGpw+Iq6P3/y4BAMKHV/kAYDIul0sqKiq8juXn54vdzmeWrDA+1G/t+vUYH7PfA/nWz1d7dUcy3+zjQ76x1yCffPLNke92u2Xf5jPe+W6XNDTXeB0bf80MCRczjY9R1yCffDPmh4tVx8cs+ZG8Rt7AdJl+0xDZ+vqxbv+dSUvOErvtYr7zRJ3sXH9Kpt80NCb/DMgnH9AbDW4AMKH29najS4hqZh8f6rd2/XqMj9nvgXzyySffyGuQTz750Z9/5tMLUl3W2O14h6vj0q/7DcvUmhKxOD5GXoN88skn36j8SF5j5q3D5ch2p9Qerer1vE9eOSbDp+RLTmFaTP4ZkE8+oCc+XgEAAAAAAADT2LvptN9zxl7ZX5daAADWF5dglxu+MlZsva9ULh3tLtn49EFxudx6lQYAMYsGNwAAAAAAAEyh4UKLHNvpvURmV8npCTJ0Yp5uNQEArK9weJZMuHag3/PKjtbInnf8fxALANA3LFEOACZjs9kkJyen2zFYY3yo39r16zE+Zr8H8s2bn5mZKfPnz+/1nKysLJ/XjIXxId8c1yCffPKjP3//lrM+Z8bZxCapSRnar6ddN0TyHXlRWb9R+Xpcg3zyzZgfyGtYdU6o+eESq/lq7FetWtXtWDivESiVdcPCKVJ5tE1qypsuHhPf+R+9WCrDJudJliPV9H8G5JOvRz4QCpvb7Wa9DCDMysvLpaCgwOuY0+kUh8NhWE0AAAAAAJiZq8MlT//Th9os7h7ZRL78H1dKZl6KWA3vNQCA8c4euSAv/Gq7iJ+uysDR2XLnD6aJzU4TEOgrXgPBF5YoBwAAAAAAQNQ7vruy9+a2iAyblG/J5jYAIDoMGJktk64b5Pe8M59ekH3vndGlJgCIRTS4AQAAAAAAEPX2bva/p+nEWf73RwUAoC+uvKtIMvOT/Z73wdpSqa28uJw5ACC8aHADAAAAAAAgql043yinDlT3eo5qNgwZn6tbTQCA2JSQFCfXf2ms3/PaWjrk3b8dEnaJBYDwo8ENAAAAAACAqLY3gGVeJ1w7kL1OAQC6GDQ2VyZcO8Dveaf2V8mBD87pUhMAxBIa3AAAAAAAAIha7a0dctBPc8Aeb5NxV/XXrSYAAK66Z6Sk5yT5PW/LmiNSX92iS00AECvijS4AABAcl8sllZWVXsfy8vLEbuczS1YYH+q3dv16jI/Z74F88skn38hrkE8++dGZf7jEKS2N7b2eM2JavtQ310h9c/D5Zh+faLkG+eSTT36488vLy6WgoMDrmNPpFIfDEbZrBKqn/Ou+NFZe/fWuXp/b2tQum/73oNz6nclis9lM9WdAPvl65AOhoMENACbU1tZmdAlRzezjQ/3Wrl+P8TH7PZBPPvnkG3kN8sknP/ry92467fecibMGSVtbk8Ti+ETTNcgnn3zyjcrX4xq+8odOyJOxVxbKwQ/Len3u8T2V8ukn52XM5YVB5YcT+eRHcz4QLD5eAQAAAAAAgKjkPFErzhN1vZ6TNyhdCkdk6lYTAACdXT1/lKRmJfo9771Vn0pDDUuVA0A40OAGAAAAAABAVNq76YzfcybOGtjjkq8AAERaclqCXPeFMX7Pa2lolxN7vZd5BgCEhiXKAcBk1Bs32dnZ3Y7BGuND/dauX4/xMfs9kE8++eQbeQ3yySc/+vIHjMoW58k6qTxd7/P7CclxMvqyflFbf7Tk63EN8sknn3yj8vW4hr/84VMcMmpmPzm89bzP52fmJ8sNXx4nA8fkhJTfV+STH835QChsbrfbHdIzAfSovLxcCgoKvI45nU5xOByG1QQAAAAAgBmpt67OH6uVPZtOy5FtTnG1f/ZW1qTZA2XW5/3PmrMC3msAEGvM9nOvqb5VnvnXj6WprtNexTaRKdcPlsvvHCEJSXFGlgeYltl+FkAfzOAGAAAAAABA1FIzhApHZGmPa+aPkgMfnJN9752R2opmmTB7oNHlATCx5uZmKS0t7fWcoqIiSU5O1q0mmFdKeqLMum+MvPXUXu332f1S5YYvj5X+I71nvgIA+o4GNwAAAIA+q6iokD/+8Y+9nvP1r39d8vPzdasJAGA9KRmJMv2moTJt7hApO1YreQPSjS4JgInV1tbKmjVrej1nyZIlNLgRsJHFBVK6vUAy8pLlstuHS3wis7YBIBJocAMAAADoM5fLJY2NjX7PAQAgHGx2m/QvyjK6DAAAupn3zQnaf6cAAJFjj2A2AAAAAAAAAABAzKC5DQCRR4MbAAAAAAAAAAAAAGAKLFEOACajlnetqqryOpabmyt2O59ZssL4UL+169djfMx+D+RbP1/t1R3JfLOPD/nGXoN88skn36r5elyDfPLNmB8uVh0fs+TrcQ3yySffvO/3wZpocAOACbW2thpdQlQz+/hQv7Xr12N8zH4P5JNPPvlGXoN88skn36r5elyDfPLJJ9+ofD2uQT755APRg49XAAAAAAAAAAAAAABMgQY3AAAAAAAAAACAgeqrm6W1ud3oMgDAFFiiHABMxmazSVZWVrdjsMb4UL+169djfMx+D+SbNz8jI0NuueWWXs/JzMwUt9sdUr7Zx4d8c1yDfPLJJ9+q+Xpcg3zyzZhfUFAgP/3pTyOWHy6xmp+eni6/+c1vuh0L5zUCFcl8t8st+947K++u+lRGX1Yo18wfFdZ8s48P+dbPB0Jhc3d9hwlAn5WXl2svkDtzOp3icDgMqwkAAAAAgGjV1toh5Sdqpf/IbN4w7QHvNQCA9dSUN8k7fz0gZw5duHTs7h9NlwGjsg2tC4gmvAaCL8zgBgAAAAAAgKGOlJyXjU8flNwBaTJx1kAZc3mhJKbwthUAwJrUrO3d756Wj14slfZWl9f3Nv7lgCz658skITHOsPoAINrxfwoAAAAAAAAw1N5NZ7SvVWcbZPOzn8oHL5TKmMv6ycTZAyV/UIbR5QEAEDYXzjfKxqcPyLnSGp/fr3E2ySevHJOr7x2pe20AYBY0uAEAAAAAAGCY88drxXmizutYe0uHth+pehSOyJIZtw2ToRPyDKsRAIBw2fTMoR6b2x671p+UoukOKRzuve8xAOAi+9+/AgAAAAAAALrbu/ni7O2elB2tkfqqZt3qAQAgkmbdN1ri4ntvzbjdom3d0d7WoVtdAGAmNLgBAAAAAABgiOaGNjm89Xyv5yQkx8momf10qwkAgEjKKUyTy+4Y7ve86nMN8v7qI7rUBABmwxLlAGAyLpdLLly44HUsOztb7HY+s2SF8aF+a9evx/iY/R7IJ5988o28Bvnkk69//sEPz0lHm6vX5469or8kJsfH5PjwM5R88smP5fyKigoZN26c17EDBw5Ifn5+2K4RqHDnT50zWEq3Oy9t0eFyu6Sppd7rnJSkdNm3+Yz0L8qSMZcX9qF6840P+bGVD4SCBjcAmFBzM8vzWXl8qN/a9esxPma/B/LJJ598I69BPvnk65fvdrn9Lk+uTJg1IKT8cDN7vh7XIJ988skPZ77b7daa3F2PhfMawQhnvj3OLjd8ZZys+vlWcXVcvKe2jlavc1L+/vXdvx6U/EHpkjcwvU/XNNP4kB97+UCw+HgFAAAAAAAAdHf6ULXUOJt6PWfAqGzJG9C3N/QBAIhGqmE949Zhfs9rb3PJm0/uldamdl3qAgAzoMENAAAAAAAA3QUye3vi7IG61AIAgBGm3zxU8gf7/yDXhfONsvEvB3qdwQ4AsYQlygHAZGw2m2RmZnY7BmuMD/Vbu349xsfs90A++eSTb+Q1yCeffP3y66tb5Pjuyl6fk5KZKCOmOkLK9xwLF7Pn63EN8sknn3yj8vW4RqTy4+LsctP9E2XVzz6RlPY073zxzi/dXi67NpySqXOGxMz4kB8b+UAobG4+8gOEXXl5uRQUFHgdczqd4nAE9j/mAAAAAABY2SevHJWtrx3v9ZziW4bKFXcW6VZTtOO9BgCxJpZ+7h3dUS5vrNzj9zy73SZ3/XCa9B+ZrUtdQDSIpZ8FCBwzuAEAAAAAAKCbjg6X7H//bK/nqElBE65leXIAkVVTUyNvv/12r+fMmzdPsrKydKsJsWnENIdMnTtEdq472et5Lpdb3npqryz8p8skNTNRt/oAINrQ4AYAAADQZ1VVVfLss8/2es59990nubm5utUEAIhOx3dVSENNa6/nDJ2ULxm5ybrVBCA2tbS0yP79+3s9Z/bs2brVg9h25V0j5PyxGjl3pKbX89R/Q9/+/T753D9M1WZ0A0AsosENAAAAoM/a29u1ZcP8nQMAwN7NZ/yeM3E2s7cBALHF/vf9uJ/72VZpqu39g2BnDlXLJy8flSvuYisPALHJbnQBAAAAAAAAiA3VZQ1y+mB1r+dk5ifLkHGs+AEAiD1pWUly0zcnaFt1+LPtzRNyfHeFHmUBQNShwQ0AAAAAAABd7Nvc+97byoRZA8XGkqsAgBg1cExOwDOz1/9pv9RWNEW8JgCINixRDgAm43K5pKbGey+erKwssdv5zJIVxof6rV2/HuNj9nsg3/r51dXVpq6ffOPy9bgG+eSTH9n8ivIq2fbup9LacnHLiuTENLHbvPPj4u0y7qr+MTk+/Awln3z988PFquNjlnw9rqF3/rCZGXLmcK6c3FvV6/NaGtvlzSf3yj0PTpf4hLiA880+PuRbKx8IBQ1uADChpqamiP1PmRWYfXyo39r16zE+Zr8H8sknn3wjr0E++eRHLn//Ryelvq7h0u9Vg7urkcUFkpKeGJPjw89Q8sknn/zovobe+XO+Nk7W/GKb1FY09/q88pN18t6qw3L9F8fG1PiQb618IFh8vAIAAAAAAAARd/DDMr/nTJw9UJdaAACIdkmpCXLz4kna6ib+7H/vrBz86JwudQFANKDBDQAAAAAAgIg6f7xWKs/U93pO/uB06Tc8U7eaAACIdo4hGTLr86MDOnfT3w75/W8tAFgFS5QDgMnYbDbJyMjodgzWGB/qt3b9eoyP2e+BfPPmp6WlyezZs3s9Jz09Xdxud0j5Zh8f8s1xDfLJJz9y+fs2n5HkhFTvfPHOnzhrYMjXNPv48DOUfPLJJ7+71NRU+elPf9rtWDivESgj88dfPUDKSmvkwAe9z9Bub3PJGyv3yIJlMyUpJT5mxod88+cDobC5u77DBKDPysvLpaCgwOuY0+kUh8NhWE0AAAAAABihuaFN/vTwFuloc/V4TmJynHztsWskISlO19rMhPcagPBT/4ZWrFjR6zlLlizp9m8P0Ft7a4c8/8ttUnHK/wztEdMccvPiiTQgYRm8BoIvLFEOAAAAAACAiNnz7ulem9vKmCv609wGAKAH8YlxWtM6scvMbN/n2sXVzrxGANZGgxsAAAAAAAARUX6yTkpeP+73PLU8OQAA6FmWI1Vu/Oq4Hr9vj7fJ7C+MkTlfGy9xCbR+AFgbP+UAAAAAAAAQdm2tHfL27/eJq6P3WWQDRmVL7oA03eoCAMCsRkx1yLR5Q7odz8hNlnsfLNY+MMbS5ABigf/1LAAAAAAAAIAgfbDmiFw43+j3vImzmb0NAECgrrhzhJw/VitnD1/Qfj90Yp7M+fp4SU5LMLo0ANANM7gBAAAAAAAQVlXnGmTve2f8npfdL1VGTHPoUhMAAFZgj7PLvG9NkLTsJLn8cyPktu9MprkNIOYwgxsATMbtdktNTY3XsaysLJYfssj4UL+169djfMx+D+STTz75Rl6DfPLJD19+bv80ueP7U2TDnw5IY22rlt/U2uB1TmpSmtzw5bESF2ePufHRO1+Pa5BPvhnzw8Wq42N0flVVlVx77bVex9577z3Jzc0N2zUCFW35aVlJ8oVHLpfE5HhT1k8++UBf0eAGAJNRLygaG72X+cvMzOQFhUXGh/qtXb8e42P2eyCffPLJN/Ia5JNPfnjzh4zPk/v+z2Xyzl8OSulOp7S2N3t9/5q7xkv/kdkSq+OjZ74e1yCffDPmh4tVx8fo/I6ODtm/f3+3Y+G8RqCiMT/Q5nao+cEgn3xAbyxRDgAAAAAAgIhISU+UW749Sa7/4liJT/jsbSjHkAyZeeswQ2sDAAAAYE7M4AYAAAAAAEDEqNk9468ZIHFZ02Tzs4fkgrNJrl00WttDFAAAAACCRYMbAEz45lB6enq3Y7DG+FC/tevXY3zMfg/kk08++UZeg3zyyY9s/sDhDln4UJ5UnakXx5DwLmtphfHhZyj55JNPfvReg3zyyTfv+32wJptbLZ4PIKzKy8uloKDA65jT6RSHw2FYTQAAAAAAwLx4rwEIP/VvaMWKFb2es2TJkm7/9qAPfu5Fhtvllsa6VknLSjK6FCAg/CyAL6wFBQAAAAAAAAAAYHHNDW3y+v/skT8/vEWa6luNLgcAQsYS5QAAAAD6rLq6Wl566aVez7nzzjslJydHt5oAAAAAABeVn6yTN5/cI7UVzdrv//Dj92XUzH5SNM0hQybkSUJSnNElAkDAaHADAAAA6LO2tjY5ceKE33MAAAAAAPpRu9Qe2HJONj/7qXS0u7y+d3jree0Rl2CXIeNzZcQ0hwyblC/JaQmG1QsAgaDBDQAAAAAAAAAAYDFtrR2y+ZlDcvDDsl7P62hzybFdFdrDbrfJgNHZ2szu4VMd7NUNICrR4AYAAAAAAEBQaiuaRGwimXkpRpcCAAB8aKxtlZf/a6dUnqkP6nkul1tOH6zWHpue+VQKR2TKiKkFMmJavmQ5UiNWLwAEgwY3AJhwWaHa2lqvY5mZmWKz2QyrKZqYfXyo39r16zE+Zr8H8q2fX1NTE9F8s48P+cZeg3zyyQ8s39Xhkrd/v0+qzzXIrM+PkTGXF4Y1PxTkG38N8sk3Y364WHV8zJKvxzXMmJ+cFq89PPnNrQ3e309MCyi/7Git9vhg7RHJG5guI6bmy4hpBZI38LPnm3F8yI+efCAUNLgBwGTUC4qGBu8XpBkZGbygsMj4UL+169djfMx+D+STTz75Rl6DfPLJDyy/5PXjcv7YxTc51/9xv5zYWymzPz9aklITTFF/LObrcQ3yyTdjfrhYdXzMkq/HNcyYb4+zy9xvTpBVP98q9ReapaW92ev7SYmpYlPLsQRBzQZXj62vHZdMR4qMmOrQljJ3DEk33fiQHz35QChocAMAAAAAACAgZUdrtAZ3Z4e3npdzpRdk7tfHy4BROYbVBgAAvKn9s2//3hR58f9tl9rG8GbXljfJznUntUdyZrxkDxUZMiFPCouyJC7OHt6LAUAX/JQBAAAAAACAX61N7bLuD/vE7e7+vfqqFnnhP3fIRy+WSkeHy4jyAACAD47BGfLFR66QaXOHSE6/yOyh3VjTKgc/KtO2MHnu3z+Rj18qlab61ohcCwAUZnADgMmopV/S0tK6HYM1xof6rV2/HuNj9nsg37z5KSkpMmPGjF7PSU1N1ZY2CyXf7ONDvjmuQT755Pee/95zn0pthffypl7cItvePCEJyXFSfPOwoPP7gnzjr0E++eSTH+785ORk+c53vtPtWDivESiz56ekJ8rVd46Tq+8UuXC+QY7vqZDzn7ZI+Ym6sOSrpc6T4v/+Z9MmUvpJtTx/Zrvc86Ppkp6TLLE+/uQD4Wdzd32HCUCflZeXS0FBgdcxp9MpDofDsJoAAAAAAAjVkW1OeeupvX7Py+6XKgv/aaYkJMbpUlcs4b0GIPzUv6EVK1b0es6SJUu6/dsDrKKuqlmO7SqXozvL5eynF3yu0tIXeQPT5O4fF0tSCnMtETpeA8EXfqoAAAAAAACgR/XVzfLu3w76Pc9ut8ncb4ynuY2Y09bcLLUVTmlraZHColEhZbg6OsQex78dAPrKyE2WydcP1h5qSfFjuyrk2M5yOXmgSlztfe92V55pkL2bTndb2QUA+ooGNwAAAAAAAHxyu9yy/k/7paWx3e+5l985QgqGZupSF6Cn5oZ6qS13XnxUqK/npba8XPt1TblTmutqtfPyhwyTr/7yNyFdY83P/kVaGhtkyMQpMnTSVBk4drwkJPV9WV8ACGYZ8/FXD9Aerc3tcmJvpTaz+8SeSmlr6Qgpc+rcITJ93tCw1woANLgBAAAAAADg0471J+XMoQt+zxswKlt7ExuIBid275TSbR+LzW7X9gi99LXTr8Xm+Z46/tl5ajfH+qpKrXldV36xgd3a1BjQdVXjWz0/2H1J1QzwMwf3i6ujXZzHSqXklbUSFx8v/UePlaETp8qQSVOksGg0M7wB6CYxOV5GzeinPdrbOuT0wWo5uqNcm+Hd3NDm9/nqx+C1i0bLpOsG6VIvgNhDgxsAAAAAAADdlJ+sk49fOur3vMSUeJnz9fHaEuVANDh/7IjsePMV3a/b2tQkLQ0NkpyeHtTzzhzcpzW3O+tob5fT+/dqjy2r/iqJKSkyaPwkGTpxijbLO2/w0KAb6QAQiviEOBk2KV97uDpccu5IjZTuLNeWMq+vbvFxvl3mfWuCDJ/C/sgAIocGNwAAAAAAALy0tXbIuj+oppv//Tev++IYbQ9PIFq4XS7Drl1Tfj7oBveJvbsCap4f3faJ9lDSsnNk8ITJ2uxuNcs701EQcs0AECh7nF0GjsnRHtcuHCXOE3VypOS87Fx/Svt+SkaC3PbdKdJvGFuWAIgsGtwAYDJqubO6ujqvYxkZGXxy2yLjQ/3Wrl+P8TH7PZBPPvnkG3kN8skn/7P8LasPS9W5Br/5Yy4v1JYvDTbf7ONjtnw9rhHu/KqzpyV3wKCQ8tW5wVLPaWn3nkWdFB8fdP1qafN+w4t85vdU/8k9/hvcXTVcqJaDWzZpDyWrX6HkjxwjQyZMloFjJ0hKRmZU//lGS364WHV8jM6/cOGC3HXXXV7HXnzxRcnOzg7bNQJFfnfquaqRrR5qm5KXnvhEZt03WlJyRWpra6O+fvKjJx8IBQ1uADAZbT+w+nqvY+np6bygsMj4UL+169djfMx+D+STTz75Rl6DfPLJv5h/6kCVbH+3VDJTc8UmPedn5CVrb2QHm2/28TFjvh7XCFd+S2ODvPPnp2T/po2y6F8fk4FjxgWd73YHP4NbtcRb2ju8jiWqBneQObVOp+/8HupvqqsV5wn/WwH4U112Tk4ePy7b17+lbX47fPJ0ue1b35aCocMllv7+BJsfLlYdH6Pz29raZNOmTd2OhfMagSK/d2rm9nVfVR/u6bh0HTPVT76x+UAo7CE9CwAAAAAAAJbTVNcq76857Pc89X7m3K+P1/bfBsLlxJ6d8ucHvyf73l2vNanffOI/pa25Oegctyv4GdzhomZwB+PUvj2qcxDeItxuObZrm/x12Q9k/+aN4c0GAACIApb9v5Djx4/L0aNHtUdpaam2nElVVZX2PfVrRS1lkpube2lJk7y8PBkxYoT2mDp1qqH1AwAAAAAA6EnNzlHN7eZ637PjOiu+ZZj0H9l9iVggFKqJvfl//yQ733rV6/iFsnPa8Ru/8e2g8kJZojxc6irKgzr/5N6dEaulo71d3vjtf0rF6ZNyzX1fFrs9LmLXAgAA0FO8VZrZ69evl3Xr1sn27du1pnY4eJrd06dPl7lz58oNN9wQllwA6Au19Etqamq3Y7DG+FC/tevXY3zMfg/kk08++UZeg3zyYz3/+I4L4jzSJInxyReP9bA4c8GwTJlx27CYGx8z5+txjVDzzxw6oM3UVs1sX1TTe+TMK2TIxCmB54ewRLlKSozzbgD7So9PSJQMR4Fk5jsky9FPMtWvtd9f/JqWkxPU+Mz+0jekqPhyrdF9Ys8uqTh5POja/dW/9aU1Unn6pNz2/R9LYkqqpf7+kE++Xtcgn3zyzft+H6zJ5jbyI40hqq2tlVWrVsnq1aulpKTk0oxspevthPKPzJPh67lz5syRBQsWaF+HDQvuf+YQO8rLy6WgoMDrmNPpFIfDYVhNAAAAAAD0pOpcg6z6+VbpaOu9MRifFCeL/mmmZBeE1iRD6Kz2XkN7a6t8sPpvUvLKC373zM7Ic8hXH/+NJKWmBZS9e8Obsm/Txou5Lrf2Vb3f5/b6teviw939+0kpqd0a155fp2ZlR/RN/caaC3Jy7y7toRreteXnw5adP3io3PXQv0hWQWHYMs1O/RtasWJFr+csWbKk27896MNqP/fgm/r5W1Zaw8ow6BE/C2D6GdwbN26Uxx57TJut7eGvP9/1+57lyNXS5F2XLO/tueqFq/q9urbn+mpm909+8hO5++67+3BXAAAAAAAAxmlr7ZB1f9jnt7mtXLtwFM1t9Nn5o0e0pbPVrOJA1FWWyzt/fkpuXvKDgM6ffOPN2sOMVAN97NWztYdy4XzZpdndp/bukqa62pCzK06dkL/95IfyuR/+RAaNnxjGqgEgNB0dLtn0t0Ny4INzMvcb42X0ZXwAB4CFGty/+93vtMa2Z+lxX01t1bieMWOGtqR4UVHRpeXF1SMrKyug69TU1GhNb3Ud1fRWX7du3eq17Hnna6vj8+fP166tGt3333+/ZGZmhu2+AQAAALNQr6XffvvtXs+ZN29ewK/NAQD6aG5ok9d+u1sqTtX7PXfENIeMu6q/LnXBmtSe0B+/sEo+fuE5cXV0BPXcwx9vkasXfUkycvMllmT3K5Tsfhcb9mrGefnJ43Jyz05thvfpA/ukraU5qDzVIF/9H/8sc771HZl0w7yI1Q0A/rQ2tcubT+6RUweqtd9vePqApGUnycDRvrd6AADTNLjXrl2rNY09M6w7N5dV41otE672xlYzqYcPH97n66k329Sjp6wdO3Zc2utbffXUo+p76KGHtMcDDzwgv/jFL2h0AwAAIKa0tLTI/v37ez1n9uyLM5EAANGhoaZFXvnvnVJ5psHvuWlZiXL9F8ey3yL6NHtYzdp2HisN+rmDJ0zWZm/HWnO7K5vdLgXDRmiPGXfcIx3tbXLu8KFLy5mfPdT7azEPV0e7vL3yv6W1qVGKb7sr4nUDQFf11c3y6m92S+WZzz5g52p3yxv/s0fuebBYcvsHtiUFgNgVlQ3unTt3ao1tNUO6c1NbNbJVA1k1tsPR0A7WtGnTtMeDDz6o/X7Dhg3aXuBPPfXUpXNWrlwpzz33nDbrnKXLAQAAAABANKopb5KX/2uH1FYENvvzxq+Ol+T0hIjXBetxuTpk22svyZbn/iIdbW1BPTc+MUlmffFrMnXebVpzF97i4hNk0LiJ2uOqBV+UTz96X9747f+V9taWgJZCH3X5VbrUCQCdVZyu05rbDRe6/6xqaWyXV3+zS+59qFjSspIMqQ+AOUTdK8Nly5ZJcXHxpea2Wv5bzYwuLS2VkpISrfFtRHPblxtvvFFraLtcLq3RrRrwqubq6mpt6fKbb75ZTpw4YXSZMUnNqldL1asHAAAAAAD4jJottfbxbQE3t6fMGSyDx+dGvC5YT3XZWXnukWWy+a9/CLq53X/0WPnK8v+WaTffQXM7QKOvuEbu+7flkp7X+0z3uPh4+dyP/kky8wt0qw0AlJP7K2Xt49t9Nrc96iqbte1T2lqC28oCQGyJmhncx48flwULFng1ttW+26qhbQaqoa0eqv6lS5dqs7vVHoRqKfUnn3xSvvnNbxpWm1pOffXq1doHBDz7i6vxzc3N1Zryapl3NSte1WoV6u+NZ990wGrUz8j6eu/98dLT01kq0CLjQ/3Wrl+P8TH7PZBv/fy6urqI5pt9fMg39hrkkx8L+WXHauTVX+/SZkh1zW9pa/I6lpSQIvmDMuTKO4tiZnysmq/HNTrnq72i92x8W7aufUY6WluDylHN16sWfklm3HG32O1xhtRv5vzU/AK5c9m/yWv//UupPnHUZ/7cxd+XgWPGhZRv9vHpmh8uVh0fs+TrcQ3yw5PfVNcmbc3+G9flJ+vk7d/tlVu+PUnscfaoqZ/8yOQDpm1wb9y4UWtuq5nPZmtsd6UaxmqPbtXoVveg9u1evHixbNu2TZ544glda1mzZo3XHuadqWPqoZrA6jxFNblVc159NTPV0PfcE2BFvpoDaWlpvKCwyPhQv7Xr12N8zH4P5JNPPvlGXoN88mMhPzE53udz3OKW5rZGr2O5BVly65JJEpdgj5nxsWq+Htfw5NdVVci7T/9ezhzcJxnJSWIPIr9gWJHc8t1/lPwhwwyr3xL5cfEy97s/kj0vr5aDWzZ5naf27p4w+8a+5Zt9fDrlh4tVx8cs+Xpcg/zw5I+5vFCbof3xy/4npx3fUynvrToss+4bHTX1kx+ZfMCUDW61V7XaV1v9A1EzoNV+1llZWWJ2qtGtmtpq9va3v/1tbSlz1Ux+8803dbm+mpWtGr2KarCrMVY1eXga2566FHW+enj+HNSHDcxIfVgCAAAAAAB0l9s/Te74/6bIi/+5o9elP7MLUuSeHxdLZn6KrvXFqrrKCtn59uty7vABqa+u1t4wHjp8hGQX9pfsfoWS5egnbfHRuwe6el+vqb5ODmzZJB+u/l9pbfZeDcAftQT55XcvkivuWajtK42+i09MlJu/+0NxDB0u7z3zZ/WHJCOmz5Rrv/BVo0sDEOOKbxkqdZVNsn/LOb/n7t10RjLzUmTKnEG61AbAPAxtcD/++OPajGHV0FYN1XvvvVesRjWX1Yxo1XRVS5Zfdtll8sknn0TsempWttobXM0gV9dVDWxfS4+rY2pvc/VQfwbLly+/9D3V+FbPVzPRzbZsuWrk+5qxDgAAAAAALioYmqnNzH7lN7vE1e7u9v28geky9xvjJSM32ZD6YtHOt16Vj9Y+63WspbzMa/ZzfXP3/Uq3vrJWho0aLVkFhZJV0E/SsnN0mU2lGtqv//pxrTFfX10pDVVV0traInU+avQnd+BgueW7P5TColERqTWWqb8Ll905X/IGDZaPX1glt37/Qa9l3wHAqJ9Ns74wRuqrW+Tk/iq/53+w9oik5SRK+kBdygNgEvFGztxWzVXVQFWN1OHDh4tVqXtUs7lV81U18iPZ5PY0t1VjXTW3A6GWhC8qKtLq81CzuouLi+XYsWOmmcmt7lvNmAdiQUoKsyisPD7Ub+369Rgfs98D+ebMT0pKkvHjx/s9J9KidXzIN881yCc/VvIHjc2Vm741Ud5cuUdN7NQkxidJ/6IsmfuNCZKYEh/T46N3/tirZ8vm558L+nlbX1ojB5I/++9rfGKSZDoKtFnfmY5+F78W9JPsgkLJyHd43YNqUjfW1mh7ZKvmeLDNiZN7d0ljjfckg4S4IJqnNpvMuP1uuXrhl7TZxlb/MzYyv6j4chkx/bI+f/jBiuMTztewVhwfo/MTExO11Ua7HgvnNYJBfvjy4+LsctPiibL28e1Sedp7b2df1v9pv1z/jRFSOCIrJsYnFvOBYNnc6tWszjZs2KAtoa2WzFa/tsKS5IFSM6UffvhhWbhwoTz7rPcnc/vKMxNbzdxWHxoI9fldm/OlpaViBqpJ71luvTMD/opLeXm5FBQUeB1zOp3icDh0rwUAAAAAgJ4c+OCcbHz6gPbr4VPyZd63Jkh8AjM89abeu/jzj78rladP9niOmsH9yMsXt6PzeORzcyS9U4Pbn5SMTMnIc0hLY73UV1dJR1ubFAwvki//4r+CrvkvD/+DOI+F9p5RVr9Cufk7/yiDxk4I6fkAAGtQs7ifX16iffUnKS1e5j80Q7L7pepSG6IH/Rb4YhcDqJnCqglbUlISU81tRc1aX7VqlfbYuHFj2HJVY1c1pz0z4kOhZnJ3XZLckxvtVHNe1apmrgMAAAAAgMCMu6q/XD1/pIy9slBuXjyR5rZB1MxaNYs70prqasV5vFRqnOe15rZSX1UZUlZ6bl5Iz5sy7zb5yvJf09w2kdJtH8u21140ZBIJAGtLz0mS2783RRKT/b/+aGlol1d+vVMaa1t1qQ1AdDOkwb169WptP+pYpZZVUbOi1RLg4aKa055Gb1/4ev6jjz4a1ftae5rwagzCOaYAAAAAAMSCqXOGyA1fGSf2OEPeJrIM1fw7f/SI7HjzlZCer0eD2xdtmfL29qCflxFkgzs9L1/u/ad/lznfXCKJySxzahblJ4/La//9uLz79O/k7ZW/lo72ix+MAIBwyRuYLjc/MEnsdv/bKNRWNMvrK3ZLW2uHLrUBiF6G/J/LtGnTJNapPcfDOXvds/d0X2cw+3q+am6rGefRasGCBdrMczU7HgAAAAAABK+ve/PGsqqzp+WD1X+TP/7jA/LXZT+QjX96UuoqK4LOUftl9x81RnTndkvDhaqgn5aeE3iDe8LsOfK1x38rwybznqCZqA8/vLj836WtuUn7/d533pbV//7P2nEACKfB43Ll+i+PDejc88dqZd3v94nLxaoSQCzjo7kWsH79xf2X1LLv27dv73Oe2hvd16z7aKRmbqt7jtb6AAAAAADQA0sH60s1sEteWavtQ/3Hf/y2fLjmGak+d/biN91uOfTBZlPN4q6vCqHBHcAM7tSsbLnzwX+Rm7/zA0lKTQuxOhhBzdR++Vc/l9ry817HzxzcJ3/7yT9qM7sBIJzGXtlfZt42LKBzj+2qkC1rDke8JgDRiwa3BXj23FaNbrVEt/rUtWdGdyhUo7ynJno0UTPL1ZLqata5r6Y8AAAAAACxoL66WV741XapOttgdCmW1txQL7vXvymr/nWZPPndr8umv/5BnMdKfZ57MMQG95grrxXHsBEyYvpMGTJxsmQV9BObPfJv39VXV4a1wZ2UliZT5t4qX338tzJyxuV9rA5GfGBm/e9WaM1sX2rLnfLMvzyofciD2dwAwmnm7cNl7BWFAZ27e+Np+fSTsojXBCA6xRtdAMKzB3VXDzzwgNaoVkt3B6uoqEjMQC1Nnp2dLStXrjS6FED3/9FsaPB+4yotLY0lBS0yPtRv7fr1GB+z3wP55JNPvpHXIJ98M+bXOJvk5f/aKXVVzfLyf++Uex6cLpl5we9vbNXxCUd+jbNMtr32kmxb9+alpZqVxPi4HvPVXtxq6fLcAYOCqz8+Qe75l5971e/q6JC6ynIpPbBfHnnZewJCcnqGSHtrwNdobffes9RzD/VVwTe4c/oPlAmzb9Qa3Wq58rScXLEnp2hf07KytcZ8Slr4Zm2b+e+Q2fK3v/6ythx5b39/Wtrq5N2//F7ef/ZpGTnzSpl0400yZMLkkD+QYabxIV+//JqaGvnWt77ldex3v/udz60/o/UeyA8uX51/3ZfGSv2FFjl9sNorv7W92evcxPhk2fL8ERkx1SHxiXFRUT/5gH5ocFuAmsnsi5p1Hcqe3Lm5uT020kNpmEfCmjVrtPvzzF4HYol6QVFbW+t1LDU1lRcUFhkf6rd2/XqMj9nvgXzyySffyGuQT77Z8hsqO+S13+yWprq2i7+/0KI1u+/5cbGkZiZKrI9PX/PPHT4kJa++IIc//kA6XB1S19zi9f0E1Rzu5fkHt2ySqxZ8sc/12+PiJKugUAbbur95/43/t1Ky0tUHHc7//VEmF86XactKa1+d56W97WIDXC1i39ze7vMeQmlwq9nlN3/nHy/93uVySVlZmbjUEu719V73EKt/h8yYX1dVIe8986fu+T38/elob5dDH76nPbL6Fcqk6+fJhOvmSHpOriH1k2+t/NbWVu194M6eeOKJsF4jUOTrlx8Xb5ebH5gka3+57dLqNG5xS1Ord4M1IT5JGmtaZe/mMzJ1zpCoqZ98QB+Wa3Dv3LlTm9U7bFhgezVYgbrfYBrVVmjo33///TJ//nyfy6kDAAAAAGB1ZUdrZOvqQ9Le4r33tprR/cqvd8pdP5wuSSmWe9sn4lyuDikt+VhKXn1Rzh7a36esg1s2y5XzvxDxN38TU1LFMXS49vA54+pCtdb8ri47K0c/PSTN9XWSmJQiqTk5MqxopGTm5WuNSUDJyM2Xex5+RF75z0e1ZfmDUXO+TJvRvWXVX6Wo+DJtVvewKdPFbu/bzEoAsUe9hrn9e1Pk+cdKpKGm95VKtr91QiZcO1ASkvhZA8QSy/yfztq1a7Wmp2c2s1pmW83uHTp0qFidWo686yfZVNM71OZvVVVVVDfM1Z+z8tRTTxldCgAAAAAAujt1oEre+etBSUvMFrut+3LAFafq5bXf7pLP/X9T+7xkZ6xoa26WvZvWy/bXXpIL58+FJbP63Bltj+5+I0aKUVRzXc2kVY/+o8ZI7qhxXt8vLCwUuw57fMNchkycIl/42a/kheX/LtVnTwf9fLfLJUe2fqQ90vPyZeJ1c2XSDXMlM78gIvUCsKaM3GS57XtT5IXHt0tLs1ofxDe1ks2ed0/L9Jus3wsCYLEG944dO7TZvJ0dOXJEiouLpaKiIqisY8eOycKFC7WluO+77z65++67JdqpRvbq1atl6dKl2jLi6vePPfZYjzO7/SktLfV5PNS8cFLLkqtmvrrfaKgHMEpycrLRJUQ1s48P9Vu7fj3Gx+z3QD755JNv5DXIJz/a849sOy/vPVMqdnfvb+mcO1Ijbz21V27+9iSJi7PHzPgEq766Sna+9arsevt1v7NVE4JoBKdkZMroK6+VxNTUgJ/Dz1Dyoylf7bH+hf94XF77r+VyfNf2oP8NeNRXVshHzz8jH619VpvNPfmGm2RE8WUSFx9v6vEhP/ry9bgG+frnOwZnyNXzR8rGvx6QhLiet1/Z8fZJmTh7oCQmx8fU+FgpHwiWza3WKjK5efPmac3O7du3aw1qRd2W+pSqaoTec889QeWpRvHzzz+vNYtVxoIFC2TZsmUyZcoUiQVz587VGsmdqaZ5NOx3nZOTIzNmzOixlieffFKb0d6ZEX/Fy8vLpaDA+1OpTqdTHA6H7rUAAAAAAKxBzU7a/NynFzfDDUC/4Zlyx/enSFJqQqRLM53yk8dl26svyoH33xVXh/e+wqFKSE6RUZddKWOvnq3NgPXVwOsL3muAEVwdHbL5b3+Qba+9FLbM1KxsbZ/uSTfMk5zCAWHLhfXwcw9KR4dL/venH0ltRXOv513+uREy49bY2bo2lvCzAL5YYg0i1YhWTW7V2PQ0Mz37G/W03HZv1OxnNQO8urpaVqxYoWVMmzZNRo0aJb///e/F6ro2tz1Nb6OpP1+1BP3KlSuNLgUAAAAAAF2VvHFcNj8beHN78Lgc+dw/TKW53Yl6z0jNRF3zs3+Rpx/8nuzbtL7PzW3VxB4580q5/QcPy5Kn/iq3fPeHMnxqcdib24BR7HFxct1X7pfbf7BUW+o+HBprLsjWl9bIH/5hsaz6t5/IgS2bpL219z12AcQutRLNzNuH+z1v5/qT0tIUng+tAYh+8VZpcKv9ob/1rW/JJ598os2+VtSsbrXceKiysrJk8eLF2kNdQzVW1f7Palb4qlWrJDMzU6xGzYD25aGHHhIjqdn5qjb14QO1fDwAAACiS11dnWzevLnXc2bNmiUZGRm61QQAVvHp1jL5+KWjAZ9fNN0hc78+QeISLDGvoc/a29rk4JZNsu21F6Xi5PGwZPYfOUYmz7lZRl52pSSnpYclE4hmY668VkbOvEKObP1Y9mx8S07s3hGW3FP7dmuP5PQMGT/rBpl5xz2SnpsnelEzANUEp94sWbKk28xBAPoaPbOfbHvjhFw439jjOS2N7bJr/Um57A76B0AssESDe/r06bJ161ZtKXLVfFbLlKuG9I033hi2a6imqmquqlnEajazWrJbNdOtRt1jtDW3FbVMvPpzjoZaQhXKC+Gf/vSn8sgjj0SkHgAAgHBqamqSkpKSXs+ZOXMmDW4ACFJzQ5u89+zhgM8ff3V/mf3FsWK3X1zZLta5XS55+qHvS/XZ030Ps9lk1Mwrpfj2u2XgmHHhKA8wlbj4BBlz5TXao8ZZJns2rpO9766ThurgV9Dsqrm+Tna88YrMuP3usNQKwFrs2izuYbLu9/t7PW/XhlMy+YbBkpzGCjaA1Vmiwa32ZFYzfD2GDx+uPSJBNbq3bdumff3Vr34lP/rRj8Qq1BiqDwb4auwbafny5VpdatwBAAAAAIglH798VGtyB2L6TUPkiruKLm3bBhGb3S4jphXLtj40uOOTkmTidXOl+NY7Jbuwf1jrA8wqq6BQrrnvy3LVgi/I0R0lsmfDm3JsxzZxu10hZw6fViwZeflhrROAdYwsvjiLu+psg8/vp+cmycxbh0tCcpzutQHQnyUa3GoJcTUbZNeuXTJlypSIX08tfa6WKn/22Wct1eBW99SVmhFvJNXYXrp0qTZzW83gBgAAAAAgVpSfrJN9m88EdO6VdxfJ9JuGRrwmM5p+y52y/Y1XtNncwUjLyZVpN90uk+feIinprEAC9LRH98gZl2uPusoKbUb33nfWSW25M+isSTfeHJEaAViDWp1m5m3D5a2n9nodT8tOkhm3DJVxVw+QuHi2ZwFihSUa3KrxqZYnV43QN998U5drXnbZZfL444+LVaj9rTvPgvc0t41uKqulyaNhFjkQTdxutzQ2eu83k5qayiwNi4wP9Vu7fj3Gx+z3QL718xsaGkxdP/nG5etxDfLJj6Z8t8stm5/9VNzuz/Jb25u9zkmMT9be7L3ui2Nl/DUDYmp8gsnPdBTI6MuvlkMfvhdQVv6QYdoyyWOumiXxCQmWGB89rkE++Wr29ZX3fl4uv3uhnNy9U3ZvfEtKSz4WV0eH3/y07BzpN3qc12tFPeoPl2gY/1jO1+Ma5EdHfuHoVEkriJOqM/WSlZspM24ZJhOuHSDxCX2btW2V8TFrPhCzDW5FNUBHjhzZ52XDa2trpaqqSnJzcyUzM7PH85577jnDm7/hcuHCBW1v8a7jOX/+fImGpvu6desMrQOINuoFRU1NjdexlJQUXlBYZHyo39r16zE+Zr8H8sknn3wjr0E++dGUf+iTMik7+lmeW9zS1Or9IaGE+CS57kvjZPzVfWtum3F8gs1XDWt/De5hU6Zr+2sPnTS1W11G12+Ga5BPvofdHifDphZrj4YL1bJv0wbZ+87bUn3ubI/542fPkbr6et3rD5doGv9YzNfjGuRHT/6E6/OkuixVZt89VZKSw7PXtpXGx4z5QEw3uNUs31WrVsmiRYu0X999991BPX/ZsmVaQ1U1ezsvRT5nzhwtr6ioSDumvq+a26rxqpZGtwI1S7prc1stCR4NTXc1xurPwAqcTqc4HA6jywAAAAAARLmWpnb5YG2p3/MGjs6RcVexJ3QgCkeOloFjJ8iZg/u8jsfFx8vYa66TGbfdpc3cBhBeamb2ZXfOl5mfu1dO798juze8JYc/+UA62tq8zpt0w1xpCn37bgAxZOCYXBk4RiQhkb22gVhmmQa3omYcP/roo9rX9evXy/XXX+/3OepTJ6qBqhrW6lMonVVXV8uaNWu6PUedpz6ZopZENzt1D2qsoqm57Wm6qw8YsDQ5AAAAACDWbH3lmDTVtvZ6jlqafNai0cycCYKaxe1pcCenZ8iUubfKtJtv1xpwACJL/awaPGGy9miqr5MDmzdqze7K0ydl6ORpklVQKE1lZUaXCQAATMJSDW5FNWcrKyu1pnUgTW7VSN22bZv260D+p9DTBFezxYcNM/cne9WM9eXLl0ddc1t9qED92ak9wFWTG0B3iYmJRpcQ1cw+PtRv7fr1GB+z3wP55sxPSEiQoUOH+j2n64dKY2V8yDfPNcgn3+j8yjP1svvd0z6/F2//bBnOCbMHSO6ANIm18elLflHxZTJ8arGMmH6ZTJh9oyQkJ4c1v6/4GUp+rOSnpGfI9FvvlGm3fE7OHT4oNrs9rPk98ZWvtqj0t01jb9tY+ssPp1jMV///MHv27G7HwnmNYJBPPvlA9LC5I/0Ok0FU41YtO66apT0tV/78889rDW5PYzuQoVD7bj/11FMybdo0MTM1Y724uPjS71euXBkVS66rpcmHDx8uM2bMCGnvbdW077qfuBF/xcvLy6WgoMDrGEuUAwAAAAB6o/7/9cX/3CFnD3+2fZovqZmJ8sV/vUISUyw3bwG94L0GwFttRbkc2fqhTLv5DlazAAAL4zUQfImK/xO66aabtJm6M2fO1D4xF46Z0WomsspUearp+c1vfrPbOWo5c8//QKpzVeNazfzOysqSY8eOydGjR7VGsKexrfbiVs1Xs1P3deONN176vZop7e+Tinouma6a3KomAAAAAABiyeGS836b28pV946kuQ0gprW1NMtLv/wPcR4vlfOlh2Xu4u9LPLMLAQCIGVHxf0Nqpq76lJ2aba0anKrZrBrNc+fO1b6G2vBWM5Jzc3Nl4cKFWtP0Rz/60aXv7dixQ2teq+uq2dgbNmzQGtseqpGtHp0bwVagxkHN3FZfPWOvxjgaqGXJ1YcR1GxyliYHAAAAAMSS1uZ2+WDNEb/n9R+ZJaMv6yexrMZ5XlIyMyUxOcXoUgAYQE1WenPFf2nNbWX/e+9I1bkzcueP/1nSc3KNLg8AAOjg4gYnBlMzo9ULE8+jurpaa3arpaaLiookLy9PFi1aJL/73e/k+PHjQWWrmclvv/22PPjgg/KrX/3Kq5mqqEZqSUmJV3Pbqjo3t9V9q73Ho6W5rag/bzVTPhqWSgcAAAAAQE8lrx2XhprWXs9RK/DOum90TC/F63J1yCv/9xfypx99R47tKDG6HAAG+Gjts/Lph+95HSs78qn8bdkPpKz0sGF1AQCAGJvB7Zmt2/V/0Dx7J3sa3urhaYh3nuGdmZnZa746RzW5582bp11LLVfumTWu9umOFWo2ulqe3NPcVuMYLdRselWbEu7/Ue8pT334gaXQAQAAAABGqy5rkF0bTvk9b+J1gyR/UIbEsh1vvCLnj15sYK39xSMy9urZcv3XFktqpvUnLgAQOfzxB/LBqr/5/F59dZU899OlMm/JP8i4q2frXhuA6NbR4ZK4uKiY8wnAKg1u1Wj17HXtaWr31vAuLS3VmqFqOetAG97q+P/8z/9os4PVLGY1a1v58Y9/LLFAjY0aYzVWqrkdjUuAh6Mmz9Lr4c4FAAAAACAS1Hsdm5/9VFyuz94P8SUlI0Euv2O4xLIaZ5m8/9xfvI4d3LJJju/eIdd/5Vsy7trrY3p2O2B1zuNH5fXffrZCpy/tba3y+n//UipPnZCrF35JbHaaWUCsc56olU9ePSZJKfEy9xsTjC4HgJUa3GqfbA+1/7L6/XPPPactI965Ydn5f1I6N8J9NbzV7FzV1L3hhhsunaea22rmtprJXFNTE1XLc0fSggULtLEMtbmtZs6rDDXOkZr1rZYmVzP1+0r9mXuWn/cIRy4QTdTPv6amJq9jKSkpvJFjkfGhfmvXr8f4mP0eyCeffPKNvAb55BuRf3RHuZw+6P//W6+4a4R0SJs0NrYFlW/28en8/PW/e0LaW1q6fa+5rlZe/82vZMeGt+WGry+WrILCqKvf6Hw9rkE++ZHM72hvl1f/3y98/gzw5eMXVknFqRNy6/d+JIkpqYbXT35o+XV1dfLwww97HfvFL34hGRkZprkH8o3LrzhdL5+8clSO7aq4eMAmUnzLMMntn2aK+mMpHzBtg9vTcFXN0/vvv1/79b333qt9PXbsmDbzWDWmVePSs4y1v4b38uXLtYeneaqa2WqJcnVM7eutnquOW53a11o1qNW9btiwIaTZzFu3btW+RtOS5kAsUz/vuq5WkJyczAsKi4wP9Vu7fj3Gx+z3QD755JNv5DXIJ1/v/LaWDnl/tf/9YvsNz5QxlxfKeef5oPLNPj6dHXj/XTm+a3vP+SJyaEeJpPYrlMvvWhh0vtnHJxquQT75kcyPi4+XuYu/Ly//56Pah1oCUVrysTzzLw/KXQ/9i2TkF1h6fKya39zcLE888YTXsUceeaTHBnc03gP5+udXnW3QZmyXbnd2CRHZ+uoxuen+iVFdfyzmA6ZtcKuGc08N1OHDh2sPT8NbzbxWje5gGt5q1rJqknsa3h55eXliZep+1az2vjS3Fc/S5gAAAAAAIHxqK7xnwvhkE5l132ix2WP3DcTG2hp5589P+T0vK79Apt96py41AdDf4PGT5Es//0958Zf/IRUnjwf0HDWL+68/+aHc/g8PSUJeQcRrBGAcV4dLNvz5gHy69fzFT775cGSbU4pvqZf8Qel6lwcgzOzRtER5IA3YrKwsrdmt9tM+cuSItvz06tWrteXHVSNcNbY9zW3V8PY8PMfVw9MIX7p0qcTFxcnMmTNlyZIlsnbtWqmtDewTgNFONbbV/anmdl/33Fb7lcfCbHcAAAAAAPSUNzBdvvDIFVJ881Cxx/tuYE+4ZoAUDM2UWPbun58KaMbmrC99XRISk3SpCYAx1BYEn/+35VI044qAn6N+fqz5+f+RfZs3RLQ2AMayx9mlvc3VY3PbQ83iBmB+UTGDWy0frmYIq0ZzsDwN72BneCueRrhnhnfnPbxVTcXFxdrXYcOGiZmo+1ZLk6va1Tj0hRo/tfREsDO41XM8e2GrOvrSYAfQXUJCgtEl/P/s3Qd4VFX+PvA3k9576CWE3kNArNRQbCBS1Z+urgKirrsWQFjbrg0QXTtN7I0ugoqhiSiKBEKvSegtCek9M5P/cy7/wUxIZibJzG3zfp5nHsLNmfd+54aEyXznnKNqWr8+rF/f9ctxfbT+GJjPfOYzX8lzMJ/5cud7+3ri2jvi0PG6Jti69BhOHbh05XO+gV64dmRcg/LrVIsK84/v3iktT25P1wGJaN2tJ9zt+qjtHMxnvhz5Yk/tkU/NxG9Lv8T2VUscuo/ZZMK2rz9D3oXzuHH8vdKS53q9Pu6aL8c5mK/+/Gtui0X67kybTW7x+cxTBYhuGay6+t05n6iuPCqrruWtQ/VZ0rz650RzVjRphwwZgt69e6NnT9f+wtQQolEvGvNjxoyRZrY3lGiUi8a/yBKZjtYwePDgK3syiOsnlkiXYxa4eOzi/FUp8U88MzMTMTHWyx5lZGQgOjpa9lqIiIiIiIhIG8Tvryf2ZkmN7oJLpeh/dwd07dcM7qq8tASfPv0o8jOr7aFZTUBoGO5/cx78g67ek1VP+FoD0dUOb/sFP817G8byMofv06JLd9z+xDPwD3bv1TG0gD/3qD6SPtyPY8m2nzu07haJWx/tIVtN1DD8WUBu2eB2VcNbNH5fffVVqIl4LKLBKxrLoiFfX9nZ2VJG1WsjZrk72qAODw+/0tyues3EcvKuxgY3ERERERERaZ2x3IRD286jS79mMLjx3tti3+1dP6y2O+62f01Hh+tukqUmJfG1BqKaXUxPxbdzX0bhpSyH7xPaqDHumPocgqIbIS0tzebYuLg4+Pn5OaFSqiv+3KP6yLlQhK//sx322gKjpyegcWyoXGVRA/BnAdXE7Rrc1dVnSXPL58SM7nXr1kENRENZ7EFevbHsLI7+MxHXTzzpq4l4sljXpc7rqqbmuhznrY4/cImIiMjdFBUVYceOHTbHiC2JAgMDZauJiIi063zqEXz97FRUVpptjmuTcI3UpKr+Go4e8bUGotoV5eZg9dyXcf7YEYfv4+Xri/hRd2Hz3gM2x02ZMuWq7z2SB3/uUX1t+Pggjmy/YHNMi84RGPG4elfrpb/wZwGpdg9uJdVlD2/B8guTaPg2dH9rZxENXcvMbVeoS3M4IiKiXp9rKPF1mj17do3XYOzYsVi0aJEsS6QTERERuXODe8uWLTbHdO7cmQ1uIiKyy2Q0ImnBu3ab295+/hj89ylu0dwmItsCw8Ix7vnXsH7Rezj4yyaH7mMsK8Mfq74B4rq5vD4iklfvW1vj6I6LqDTXPnHv9MFsnEvNRdO2YbLWRkTOYXBSju4a3vPnz0dqaqq0rLbYf3rSpElSg1Q0ti2zmcU+02owceLEqxrxSjW4xVLkNe3VLY6Jzzlzpra4iV9ixU3MGhd7hdval9wy1nJf8QYGIiIiIiIiIlKX5DUrkXXqhN1xN939N4REceYOEV3m5eOD4Y88gf7/93d4ePBlbyJ3FhYTgI7XNrY77s81ruurEJFruf0M7vrM8E5OTlZVg9tVM7ct6jrzWbwhQOxRvnTpUunv4s0BYna1sx+zaJjXt2nu6mtGRERERERERHWXfe4sfl/xtd1xTdp3RM8ht8hSExFph5jc0vv2OxHZvCXWvj0H5SXFSpdERArpfUtrHPnjAsw2ZnGfPZKLM0dy0LxDuKy1EVHDscFdj4a3WhrbFmpZKr2qBQsWSDdXcfOt48nNiX//paWlVsf8/Py4LJ9Org/r13f9clwfrT8G5us/v6SkxKX5Wr8+zFf2HMxnPvOVza80m7F+0bswVVTYzDJ4emHY5MfhYTCoqn4158txDuYzX035sfG9cfcrb2D16y8h5/w5Kd9ost72wMvTebO8tXZ99JYvxzmYr738kCh/dLqhCQ5sPWd3FnfTdvEoKyurU77Wr4+a8onqgw1uIiKNEU8oxPYJVTVu3JhPKHRyfVi/vuuX4/po/TEwn/nMZ76S52A+85mvbP6+zUk4c3C/3ay+o8ZKszPrmt8QWs+X4xzMZ77a8iObtcDdL7+JtW/PxvE9u1Bc7c0zwZ6+cBYtXh895ctxDuZrMz/h5tY49Pt5mI21T5g7n5qHUwcvwSeiQnX1u0s+UX1wMxIiIiIiIiIiIhcxlpu4CpkDCnOy8csXH9sdF9GsBa65Y5wsNRGR9vkFBeHOZ15Ewi0jlC6FiBQQHOGHLjc2szvuzzXH+XyNSGPY4CYiIiIiIiIicpGNnx7Cmnd2I+dCkdKlqNqmj+ejrNj+NRo66R/w8vaWpSYi0geDpycG3DcRt/5jKgLDI5Quh4hkljC8FTy9bbfCLp7Ix5nD1jOUiUjduEQ5EZEGeXnxx7eerw/r13f9clwfrT8G5mszX9wvOjra7hiz2XrvQ3e5PszXzjmYz3xn5p85nI3UnRnSx9/890/0GNwCvW9tDR+/+v+sdSWl8o/t+B3Htm+ze/8eQ29Fs46d65zvLFrPl+MczGe+mvNje8SjSdvZ2Lb0Cxze9ovT87V+fdSY7+npic6dO191zJnnqAvmazM/MMwXXfs1w56Np22O27vxLFp3jXbZsttqvT5qySeqK49KrrtA5HSZmZmIiYmxOpaRkWH3RV8iIiIiIiLSB5PJjCUv70DOeetZyYGhPrh+TFu0692I+xYC0qztT56cIi1RbktQRCTuf2MefAMC4K74WgOR86Tt3I6kBe+ioLQUJXHdbI6dMmXKVd97RKQtxfnl+PzZbTCW237D9c0Pd0Obnvx/VW34HIhUs0T53LlzkZ+fD3f24Ycf4sSJE0qXQUREREREREQusG/zmaua20JRXjnWLz6Ib99MwaWzhXB3W7/6xG5zWxj84CNu3dwmIueKS+iL+9/4ALE9eytdChHJICDEB90HNrc77s816ag0c04okRYo0uD+5ptv0Lt3bxQUFMAdPfPMM5g8ebLSZRARERERERGRCxTlleHPtcdtjjl3LBc7f3TvN76fObQfe9b/aHdc+2tvRNvefWWpiYjch39wCPr/39+VLoOIZNJzSEt4+9a+xL1w6WwR0lIyZauJiDTW4F66dKm0pEBsbCz27NkDdzJu3Di8/vrrmDVrFlq3bq10OURERERERETkZNtWpqKi1GRzjJePAdePbgt3ZSwvR9LC9+yO8w0MxKAHOEmAiIiIGsY/yAc9BrdwaBa3mbO4iVRPkQZ3mzZtsHHjRmRnZyMhIQGbN2+G3okl2fv06YMVK1Zg4sSJmDp1qtIlEREREREREZGTiZnZR7dftDuu9y2tERTuB3e1/dulyDl3xu64/vc+iMCwcFlqIiKqL5OxAslrV0lv3iEi9RINbh9/L5tjci4UIzXZ/nM5InLDBrfQq1cvJCcnw2w2IzExEY888gj0atOmTdJs9Z07d0rN7fnz5ytdEhERERERERE5mdlkxi/fHLU7LqxRAHoObgl3lXnqBP78dpndcS26dEfXAUNkqYmIqCH+WLkUWz5fjC9m/AsX0o4pXQ4R1cIv0Bs9Ex2Yxb32uPS8jojUy/ZbVWRqcg8ePBgLFizAhg0bpD8HDhwIvZgyZQoWLlyIyspKTJs2TVqanIioIcTPk7KyMqtjvr6+8PDwUKwmNdH69WH9+q5fjuuj9cfAfOYzn/lKnoP5zG9o/s4N6bhwMvvKMS9P7xrzbxrXDp7eBre7Ppb87WtWoqy8HF4GQ635Xt4+GDLxUYfPr6fr44p8Oc7BfOZrMd8ZLqan4o+V36DCZMKFk8fx6Yx/oc+I0eg3/v+kn2XOoNfrby+/qKhI2u6zKrEyamBgoNPO4Sjm6ye/x6AW2LPxNMqKjVb5RlPFlb9nnSvH4T8uoPMNTRtYufaujxL5RJprcFua3GJm85AhQ5CamirN5h47dqzm96ieO3cuXnvtNeTm5krf/KLJ/dBDDyldFhHpgPiZIrZ4qKpx48Z8QqGT68P69V2/HNdH64+B+cxnPvOVPAfzmd8QRXll+Hn5XpSX/fViaUhABDxgnd+mZzRadol0u+tTNb/niLHwDArF4Q3fw1zLcr7Xjb0b4U2a1Stf69fHFflynIP5zNdifkOJJcl/fP9NaZXS4vK/mmM/L/0KJ1OSMfiBh9Gya/cGn0ev199efnFxMf7zn/9YHXv00UdrbXCr8TEwX335Yony+KEt8ce36X/loxJFZflW43b8kI4O1zaGp6fBra6PEvlEmlqivPqe3GlpadLy3eIbZdmyZYiLi8OECRNw4sQJaMmHH36IyMhITJ8+HTk5OVeWJmdzm4iIiIiIiEi//vg2DeWlfzW3ayJmbd8wpi3cncHTEz2G3Iz7X38PrbrHX/X56FaxSLj1DkVqIyKqi23LvsSlM6dq/FzW6ZNY9tJMfPfGq8jLuCB7bURUu24DmsMvyNvmmPysUvy+Ik22mohIgw1uC7E8eVJSkjRzu2qje9iwYVi1ahXUavfu3dJS5J6enpg8ebLU2Bb1i4/FrPT4+Kt/WSMiIiIiIiIifTifmotDv5+3Oy5heCuERPnLUpMWhMY0xuiZ/8XNjz4Jv6Bg6ZiHhwFDJz8OTy/FFx0kIrLp7JFD2LFmpd1xx/7cho+fnIJfv/kM5aUlstRGRLb5+Hmh19BWNsd4GDzQrGO4bDURUd2o7rcFsUS5mM09Z84cPPPMM9IxsTe3uAmTJk2SljMX40JCQhRtai9ZsgTLly9HevrlpSxEU9syI10059nYJiJXEW+oIf1eH9av7/rluD5afwzMZz7zma/kOZjP/LrKPleEH+btkz42eNQ+jyAkyk9aDtPdro+9fLG0Zed+g9C6Ry9s/nQRAsMj0DiundPynUnr+XKcg/nMd5f8itJSrPvgTfGC8JVjBhtL9ZoqKrB91VIc+HkDbrrnAXS6oT88DAbdXh8l8uU4B/P1ld91QDPs3nAKxfnlNT6PG3xfJ8R2j3Lb6yN3PlFdeVRaurIqdPz4cUybNg0rVqy4cqzqmv5i/27R6O7Tp4/0sav27M7Pz0dycjJ27dqFHTt2SE3tqiyXMCwsDIsWLcLo0aNdUgdpR2ZmJmJiYqyOZWRkIDo6WrGaiIiIiIiIyLnys0qwcu4uFOWW2R17yyPdnfoiqV5Vms11bvq4C77WQOR84nto3rx5NseIlTurf+/lZ2Vg9dxXkHG8fssXN2nXAQPvn4QmbTvU6/7ugj/3yNX2bDqNX5ceu+r4TePbofvAForURFfjzwLSxAzuqsT+1WImdF5eHl599VWpeZybm3vl86LhLG5ViUa3mEEtbmJ584iICOljSwNaEMeE7Oxs6U9Lpvi7mI0tZpCLY+Jj0diuek6h+nsCxDlnzJjBxjYRERERERGRmyjKK8Pqt3c71Nxu1S2SzW0HsblNRFoQEhWDu19+Q5qVvX3VEphNpjrd//yxI/jq30+hS/9E3HjXfQgKv/x6NRHJq8tNTZGSdMrq+dw1t8eyuU2kAapucFuEhoZi9uzZ0m3hwoXSTTS2LY1mMavb8nFNTe+GqOkclma5WC5d7LMtGvFERERERO6spKQE+/ZdXqK3Nt26dYO/P/eeJSLtKy2qwJp3diM/0/5eqgYvD9w4tn5LbhMRkXp5ennh+rF3Iy7hGvz4/pu4dOZUnTMObNmAo9t/w7V3jkevW0bCy9vbJbUSUc28vD0x6L6OWPPuHqAS6D6oOXrf4pqVgonIDRvcVYmmsriJWd1Lly7F+vXrrZYMr9qQrvp3R9V2P/F3y5LoYg/wwYMHO+HREBERERHpQ0FBAX788UebY8SWQmxwE5HWlZca8f37e3DpbJFD4/vcEouwmAC4i6zTJ2Hw9ERE0+ZKl0JEJItGbdri/2a9jeTvVmD76mUwltlf2aOqitISbP3qE+zb+BP63/sg4nr3tdqmk4hcq2XnSAy6tyPOp+bhxjHt+P1HpBGaa3BXndU9ceJE6SakpKRgw4YN0vLiYllxsbx49aXFHWFpbFuWORdNbTa0iYiIiIiIiMhUYca6BftwIT3fofHt+jRCwvBWcAfGigr8+a1YqncZGrWJw4T/zoHB4Kl0WUREshAzr68dPQFdBiRKzepDv/5c54zci+exeu7LaNU9HgPuewhRLdzj/w8iNeh0fVPpRkTaodkGd3Xx8fHSrSoxy1s0usXe2lX32a7a+BZLjVv25LY0tUXznIiIiIiIiIjIwmwyI+mjAzh9KMeh8a27RWLw/Z3gYdD/LKBzRw8jacE7V5bnFXvL7l63Vlpul4jInQRHRuGWfzyNHkNvxeZPFuJi+rE6Z5zcm4LPpv0DPYfeiuvG3g3/oGCX1EpERKRlumlw10Q0qqs3vYmItE6sNFFeXm51zMfHh8vn6OT6sH591y/H9dH6Y2C+/vPLqi3ZqLX6ma9cvhznYD7za72vuRKbvziM9JRMm/lGc4X0cdO2YRhwXzsYnNjcVuP1KS8twW/ffI5d69aIAKvPbf3mM8T1vhahMY1UW7875ctxDuYzX4v5zlI9P6p1G9z98lwc3LpZmtFdnFe3lUYrzWakrFuDQ79twQ3j/g/dBg2F0WTS3fXnzzjm6yVf3N/WWLXXr3Q+UX3ousFNRKRH4gnFpUuXrI41btyYTyh0cn1Yv77rl+P6aP0xMJ/5zGe+kudgPvNru99vy1Nx+PcLtsehEkWl+YhsFoRrxjRFXkEu/AP9FK/fVfkn9uzC+kXvIT8zo8bPiz1oxedHz/yvlKG2+t0tX45zMJ/5Wsx3ltryuw5IRLtrrsf2b5di1/ffwmQ01im3tCAfGxd/gJSk79H1llFo1rGzrq4/f8YxXw/5pUUV+HH+PvQd2UZ6k6Oz8x2h9Xyi+jDU615ERERERERERG4g+YcT2LPptENjw2L8MeTBzvDx1+98gpLCAqz74H9Y8erztTa3qy6ze/CXTbLVRkSkRr4BAeh39/342xsfIK5333plZJ06gTVvzcJP899Bflbtq4kQkbwqykz4/v29OHcsF2ve3o0T+7KULonIbbDBTURERERERERUA9HY/nPNcYfGBkf4YeiDXeAf6Lwlb9VEzNw58vtWfPLkFBzYstHh+/382Yd1XpqXiEiPwhs3xR1Tn5NWtoho1qJeGcd3J6OkIM/ptRFR3ZmMZqxbsA8X0i9/TxorzPhx3j4c3WF71R8icg79vqWYiEjHDAa+P0nP14f167t+Oa6P1h8D87WZL+4XEBDgkuy61sF8/ebLcQ7mM9+iILsUv69Mc2isf4gPRvyzJ8pRCD1en4LsLGxcPA9pydvrnFlWVCTN5O5wQ39VfX3dMV+OczCf+cy3r3WPXrhvzrvYs/4HbFv2pfRz0hFiIeAO1/VDk7j20PP1qUosfxwVFXXVMWeeoy6Yz3wLs7kS6z86iFMHs2s8Xl5sRNf+zeudXx9azyeqK49K8RZcInKqzMxMxMTEWB3LyMhAdHS0YjURERERERFR3Zw6cEnaU1HMyKmNb4AX7niyF6KaB0FvKs1m7NuUhC1ffITykuI63z+qZWsMm/w4Grd1TTPG3fC1BiLnE99D8+bNszlmypQpV33vOUtxfh62Lf0SezesQ2Vl7f/XCN5+/vj7WwsQFB7hklqIyDGipfbzl0dw8NdzNseJPbkThrfiPtVOwOdAVBPO4CYiIiIiIiIiqkHLLpHSzOy17+9FeYnxqs97+Rhw22M9dNnczjl/FkkL38WZg/vrfF9PLy9ce+cE9Bk5Gp5e3i6pj4hIDwJCQpH40CPoMeRmbP5kIU4f3Ffr2GvvHM/mNpEK/PFtmt3mtrB9dTrKiipw/ei2bHITuQAb3EREREREREREtWjSNgx3PBmPNe/sRklBxZXjBi8P3PJwdzRuEwo9MZtMSF67Cr8v+wrGivI6379p+04YOvlxRDav3/6yRETuKLpVLMY+/ypS//wdP3++GPmZF60+H9aoCXrdMlKx+ojoskpzJUoL/3o+aM/uDadRVmzEgHs6wODJJb6JnMktGtwnTpzA8uXLpY+ffvpppcshIiIiIiIiIg2JbhGMO59OwOq3U1CYXQYxCWfog13QorO+ZtJlnEjHT/PfRsZxx/Yer7507k133YeeQ2+FB/doJCKqMzHDs13f69E6PgE7136L7d8uhbGsTPpc/3sfhJc3V8QgUpqHwQMD/q8jfAO9kZJ0yqH7HNp2HmUlRgz9exd4evM5EpGz6L7BvXHjRgwdOvTK35OTk/HNN98oWhMRERERERERaUtYowCpyS1mcscPbYm4eNfsx6oEk7ECf6xcgu2rlkr7btdVbM8EJE58FCFR+rkmRERK8fbxlZYj7zJgMLZ+9SmK83IR17uv0mURUZU3o1x/Z1v4BXrj91WOvSkwPSUTa9/fg5sf7gYfP9235YhkofvvpMmTJ6OyslL6oSP+3Llzp9IlEREREREREZEGBUf4Yfy/r9HV7Jus0yfx4/tv1mvWtl9wCAb+bSI63TiAe0sSETlZcEQUbnnsKelNSPwZS6Q+vYa1gm+AF37+6ghQaX/8mcM5+O7t3bjtsR5Sc5yIGkbXDe6UlBTpz8TERGzYsOHKx/bMmDEDQ4YMwaBBg1xeIxFRXYk36xiNRqtjXl5e/GVHJ9eH9eu7fjmuj9YfA/OZz3zmK3kO5jPfEbU1t7VSv4XZbMKu71fj1yWfw1RRIeWbK61fnTV4eNSa3/GG/hh4/yQEhDi2B7nWro/e8uU4B/OZr8V8Z3Fl/Z5e3rq9/vbyS0pK8NFHH1kd+/vf/w5/f3+nncNRzGd+Tbrc1Aw+/l7Y8PFBmE21d7ml51lmE86lZmPZnD9x+2M9EBoVqHj9asknqg9dN7jT09ORkJCAJUuWYMWKFdKx0aNH273f7NmzERkZ2eAGtzjnrFmzsGPHjgblEBFVf0KRmZlpdaxx48Z8QqGT68P69V2/HNdH64+B+cxnPvOVPAfzme8u+XkZF7Hug//hzKH9f+UDKCwrtxoX7OeL6ulBkVEY8tCjaNOrj2L1M1+d52A+87WY7yx6vT5K5xcWFuKxxx6zOjZu3LhaG9xqfAzM139+u96NpCb3uvn7YKyoeauXSlSioDRX+rggPRefvpSF+/49GOGNghSvXw35RPWh6wZ3mzZtrszcdqSx7YoG+65du2Q/LxERERERERFRTS9O7t+8Hps/XYSK0pI637/HkFtw0933wzcgwCX1EREREWlRqy6RGPHPnlj7/l6Ul1jPdK5JYU4ZVs7dhfEzr0FQuJ8sNRLpjX42japBfHw8cnJysHjxYqVLISIiIiIiIiIVMJvMSP7xBEqKrGcru4M/Vn6DpAXv1Lm5Hd6kGca/OAuJDz3C5jYRkQacTz2CU/v3KF0GkVtp0jYMo56Kh3+Ij0Pji/PLpaXNxRsQiajudD2D2zJze9KkSdLHDz74oKznFkuTh4WFyXpOInIPXP5F39eH9eu7fjmuj9YfA/OZz3zmK3kO5us7X6zD/dvyNKTtysDpg9m4d2YMQiID3Ob6dB0wBDu//xZlRUU151f/u8GAvneMxbV3ToCXj2Mv1mr5+ug9X45zMJ/5zFc232wyYfu3S/H78q/hHxyCv73+HgJCwzRTv9rPwXzm2xPVPBh3Pt0L3729GwWXSq3zr3qmBZw9motTB7OlGeDucH2InMmjUudvD8nNzUVERIT0zSeazTNmzJCWLhc38XfxuarE5QgPD8fkyZMxduzYBi1PLhrrIuvSpUtOeCSkJWI/ipiYGKtjGRkZiI6OVqwmIiIiIiIidyZ+39+69Bj2bT5z5VhwhB9G/KsnwmLcZ1byoV9/xg/vzrU7LqpFKwx/9Ek0io2TpS6yj681EDmf+B6aN2+ezTFTpky56ntPjfIyLuCH997EuSMHrxyL690XI59+VrONKf7cI60SS5B/985u5Jyv+U2FVcW0CsaYZ3pr9vtUDvxZQG45g1s0sZcuXYpx48ZJy5VPnz7dofstXLhQuhERERERERGR9v255rhVc1soyC6V9j8c8XhPRDUPgjvoeEN/pO74A0f/+LXmAR4e6H3bKNww7v+cMmubiIhc/waug79swqaP56O8xHoLirTk7di38Sd0TxyuWH1E7igo3Bd3PtULa97djYyTBTbHis+f3HcJrbtHyVYfkR7ovsEtjBkzBsnJydKM7OPHjzt0n4ZObOe7bYiIiIjInZSWliItLc3mmLi4OPj5+clWExGRxf5fziL5hxM1fq4kvxzfvrkLtz3WA43bhELvxOsVgx+cgrOHD6AoN8fqc6ExjTD8kSfQvFNXxeojIiLHlRQWYMOHH+Do71trHbP5s0Vo3rkbIpo2k7U2InfnF+SNkU/E44d5+3D2iPVzruq2r0lHq26R7CsR1YFbNLiFXr16SS+4LV++XJrRLZYuz87OrnHsrl27pJnfYhnz+rBkiz+JiIiIiNxBfn6+9Fzb3vKObHATkdwupOdh65KjNseUFRux+q0U3PJId7ToaL2VmR4FhIRi6OTHsWr2f64c6zZ4GAbc+yB8/N1nuXYiIq1L3/mnzea2YCwrk7amuOul1+Hp5TbtACJV8PHzwrCJXfDZv3+HscxU67is04U4vicLbXpyyW0iR7nd/2hiNre42WIwGDBz5kw8/fTTDTpXQkICTpyo+R3iRERERERERORaRXll+HHBPphN9ldp8/QyICDYfZbkbtOrj9TUFsvXDnv4n9LfiYhIWzr3G4Rjf/6OtOQ/bI67mH4Mvy//CjdOuE+22ojoMv8gH3Qf2By71p20u51ObPcoeBg4i5vIEQaHRlG9TJgwgbO4iYiIiIiIiBRgMpqxbsF+FOeV2x3r5euJ2/7RA5HN3GMfbgsxY/tvc99nc5uISKPEcsZDJ/8DgWHhdsdu/3YZzhzaL0tdRGQtPrElvP08bY65dLYQaSmZstVEpHVuN4ObiEgPjEaj1d+9uMSUrq4P69d3/XJcH60/BuYzn/nMV/IczNdP/q/LjknLk1dlMlsvDelp8ITBywO3TOmGxrGhmro+ZrMJe3/6HvmXMjHo/sn1yhPLkfv415yv9q8v89V5DuYzn/ny54ttJ4ZN+RdWvvaC7YDKSvz4/pu4b8678A0IdDjfWfgzjvnunC/24+7Svwl2/njS6nlodTu+P464+Oh6zeLW8vUhqg/+C6zB7NmzkZiY2OAcsRS62MubiMiZzGYzMjIyrI41btxY2l6BtH99WL++65fj+mj9MTCf+cxnvpLnYL5+8g9tO4/9W85a51eaUVCSY3UsJDACNz/Uwyn7bst5ffKzMrDpk4UoOnMSBg8PxPZIQGx8b6flq/3ry3x1noP5zNdivrMofX1ieyYgfvjtSFm3xmZOfmYGNn40H7c89pSq6tfCOZjP/IbmN+nmi7IfClBeerlRHBIQAYOHdX72uSKk7spAu96N3Or6ENUH//XVYOrUqejZs2eDc2JjYzFx4kSn1ERERERERERE9mWczMeWr444NPbaEW3Qpmc0tKKyshIHt/6MZS89iwupR68c/2nBOygpyFe0NiIiUtZN99yPyOYt7Y47tHUzDv+2RZaaiOgvfgHe6HJTU7vjdqw9DrO5UpaaiLSMDW4iIiIiIiIi0oXi/HL8OH+ftP+2Pa26RqLXsFbQiuK8XKz74E388uVHqCgrtfpcUU42Ni6ep1htRESkPG8fX9zyj6dh8LS/aOuGDz+QVgMhInl1uqEpfP1tf4/mXCjGiT1ZstVEpFVscNfRiRMnsHv37lo/R0RERERERETyM5vMSPpwPwpzyuyODYvxx41j28HDo+77GyqhKDcH3/xnBk7u21PrmCO/b+WMPCIiNxfTug1uvOs+u+PKiouk/bjNZpMsdRHRZaK53eWmZrV+PqJpIIZP6orYHlGy1kWkRR6VYn0rqtWmTZuwYMECbNiwAbm5udIx8Quw0Xh5n4SqevfujZSUFEyePBmzZs1CSEiIAhWTGmRmZiImJsbqmNijIjpaO0vfERERERERacmvy49hz4bTdsf5+HlizDO9Ed44EFpQaTZj2Uv/xumD++yO9QsMwn1z30NwBF8U1SO+1kBEjv6/sfyVZ3Fq/167Y2+6+35cM3KMLHUR0WViD+7P/r0NZUV/9ZjCGwegz22xaNsrBh4GbbwBU058DkQ14QzuWuTn52PYsGEYMmQIli9fjpycHGmvK8utJsnJyfjpp5+Qmpoq7b+9Z0/t76wmIiIiIiIiIuc4uuOCQ81tIfGBzpppbgs7f1jtUHNbKC0qxPqF77m8JiIiUi8PgwHDH3lSetOTPb8t+QIX01NlqYuILvPx80KvoZe3yQmN8Zeem054vi/a9W7E5jZRHbDBXYO8vDwkJCRIs7arNrTDwsLQpk0bm/dNTExEUlISpk+fjl69erHJTURERERERORCWWcKsPmzww6N7X1ra8T20M5Mj6zTJ/HrN585PD40phFn4hEREYIjo5A48TG748wmI354dy4qykplqYuILuvavxkS7++Eu1/oiw59G8PAxjZRnbHBXYOxY8ciLS1NamxPmjQJy5Ytk2ZwZ2dnS7OzHTFt2jS89tprGDOGv1gSERERERERuUJpUQV+nL8Pxgqz3bGtukXimltjoRUmYwV+eO8NmCoqHBrfffBw3DfnXTTv1NXltRERkfp1uO5GdOk/2O647HNnsOWLj2WpiYj+msXd4domMHiyRUdUX/zuqWbjxo3SzG0xg1s0tefPn4/Ro0cjNDS0zlmiyS2a5KtWrXJJrURERERERETuymyuxPrFB5CfZX/WWWi0P4Y80FlTyz7+vvxrZJ5ItzsuMCwco555AUMmPQYf/wBZaiMiIm0YeP9kaXUPe/YkfY/0lB2y1EREROQMbHBXI2Zrx8XFYceOHfVqalc3efJkqUlORERERERERM6z/bt0nDqYbXecl68nbp7SDb4B3tCKs0cO4c9vl9sdFxLdCPe9/h7axPeRpS4iItIW34AA3PzoU/DwsN8G+Gne2yjOy5WlLiIioobyanCCzojZ23PmzHFantiTe9asWU7LIyISTCaT1d89PT0Vq0WNtH59WL++65fj+mj9MTCf+cxnvpLnYL428tNSMrBr3UmHMgff1wmRTYPqlF9fzsgvLy3Bj++/gcpKc42z1q/w8MDNjz6BgJCGvznfQgvXh/nqPgfzmc989eU369gZfe8chz9WfGNzXGFODn744H+4Y+pz8PDwUEX9ZWVl+O6776yOjRgxAr6+vk47R10wn/nMd10+UV2xwV1Neno6evXq5dTM3Fy+842InMdsNuPixYtWxxo3bgyDgYty6OH6sH591y/H9dH6Y2A+85nPfCXPwXxt5GefK8LGTw45lBk/tCXaJsTUKb++nJW/5bPFyLt44er8ykoUlJVd+XuPITejaYfODai4Wr5Grg/z1XsO5jOf+erNv/bOCTixZxcupB6tOf///x+z9/ffELr8a3TpN1gV9efn52PcuHFWxzIyMhAdHe20cziK+cxnvnZf7yN94r++GkRERDi1YR4WFua0PCIiIiIiIiJ3VVZixI8L9qGizHoGSU1adArHtXfEQUvSdv6JvRvX2R0X0awF+owYI0tNRESkfZ5eXrjlsafg7etnd+zvy75G9vmzstRFRERUX2xwV9OmTRts3LjRaXkLFixA7969nZZHRERERERE5I4qzZXY8PFB5F4stjs2ONIPQx/sCoPBA1pRnJ+HpAXv2B0nloMc/MBkeHlrZ09xIiJSXniTZhjwt4l2xxkryrHpo/kwGStkqYuIiKg+2OCuYc/sV1991SlZK1askJrlY8eOdUoeERERERERkbtK/vEETuzNsjvO09uAmyd3g1+QdhrAlZWVWL/wPRTn2d/irPeI0Yhs3lKWuoiISF+6DRqKtn2utTsu6/RJbFv2lSw1EZHjzxcLc0qVLoNINTwqxXcFXbFhwwYMHToUDz/8MD744INa3y1tMtleDm3Tpk1Ss9zDwwM5OTkICQlxUcWkRpmZmYiJubzPm739YYjqo/qPbvGzhvRzfVi/vuuX4/po/TEwn/nMZ76S52C+OvNNFWYsn5OMrNOFdjMSH+iMDn0b1ynfWeqbf2DLRqz74H92x4k9t8e98CoMBs865TtKrdeH+c57rUHpx8B85jNf+XyxYshn0/6Bopxs2/kGA8Y//xqad+4Kpeqv6889rXwNmM/8uuSL+505koMda44jN6MY9758Pbx9PZ2Wr4XX+9hvoZpwBnc1oikdHx8vLS0+fPhw7Nmzp073P3HiBKZMmYIhQ4ZI3+CzZ89mc5uInE78fKl6I31dH9av7/rluD5afwzMZz7zma/kOZivznwxK/vOpxPQrk8jm/fvPqh5rc1tW/nOUp/8/MwMbPp4vt1x3n7+uOWxJ+Hp6aWq+pmvnXw5zsF85jNf/fkBIaEYPuVf9vMrK3H60L4GVm0j3wW08jVgPvMdzT97NAffvpmC797ajfNpeSgpqMD+LWedlq+272GiuvCq02g3sWzZMrRt2xbr16+Xbr169ZIa33369JH26BZOnjwpvWMlNzcX6enp2LFjB3bt2iXNABfE50ST++mnn1b40RARERERuV55eTnOnTtnc0zTpk3h4+MjW01EpC9ipsqQv3dGTKtgbFuZJu3JXVXTdmG4fnRbaEml2YwfP3gT5SUldscOvH8iQmNqb94TEVHd5eXlISkpyeYYsdpnaGgo9KR1j17odfMI7Prxuxo/7+ntjSETH0OX/oNlr42IgHOpufhzzXGcPZJz1ed2JZ1El35N4ePH9h65N34H1EA0scUTG/HkRbwTRTSuxc1CNK8tje7almlISEjATz/9JFvNRERERERKEm/8/PTTT22OESsdVV9WjIioLsTv6D0TWyKqRTCSPtwvzWIRAsN8MWxiV3h6amuhup3ff4szB/fbHRfXuy+6DhgiS01ERO6krKwMBw8etDmmf//+0KMb7/4bTu7bjUtnTlkdD4qMwsin/o3Gce0Uq43InW3+8jAObq39zeOlhRXY9/MZJAxvLWtdRGqjrd/8ZCRmbCcnJ0vLi1ua1uJPcRO/UFs+ttwsnxcmT54szegmIiIiIiIiIudr3iEcY2f0kWZzG7w8cPPkbggI0dYKEVmnTuDXbz6zO84/JBRDJ/2DS0ESEZFTefv44tbHp8LT6685cGK/7Xtfe4vNbSIFNY2zv2JEyvpTKC8xylIPkVqxwW2DWJo8JycHs2bNslqGxtLIrkocE03xnTt3Yt68eTJXSkRERERERORegiP8MOrpXhjxeE80ig2BlpiMFfjhvTdgMtp/YXLo5McREBomS11EROReolvF4sa7/iZ9HH/z7Rjz75f5fw6Rwtr1aYSwRgE2x5QVGbF382nZaiJSIy5R7oBp06ZJt5SUFGmP7bS0NGRnZyMiIgJhYWHS3tyiua23vViISL3MZrPV3w0Gvl9JT9eH9eu7fjmuj9YfA/OZz3zmK3kO5msr38vbE83ah7ssv64czd+27CtknjxuN6/rwCFo27tvnfPri/n6zpfjHMxnPvO1l59wy0hEtWyNll17WJ1HK/XLeQ7mM1+OfIOnAX1ubY31H9nePmH3htPoNqA5fAO865Tvrq/3kf6wwV0H8fHx0o2ISEniycSFCxesjjVu3JhPKnRyfVi/vuuX4/po/TEwn/nMZ76S52A+8+XIP3v4IHasXmE3LzSmEQb+bWKd8+uL+frOl+MczGe+FvOdRcvXx8NgkJrbWq1frnMwn/ly5rft3QjJP5xAzoXiWjPLio3Ys/E0rrm9jerqJ5ID//UREREREREREclAbG+2YfEHqKy0ngFzFQ8PDH/kCfj4216ekoiIiIj0x2DwQJ/bYu2OEw3u0qIKWWoiUhs2uGvw4YcfSsuOX3PNNdizZ4/S5RARERERERGRDnh4eOD2J55B47btbY7rc/udaN6pq2x1EREREZG6tO0Vg4imgTbHlJeapCY3kTviEuXVLFq0CA8//PCVd1aPHTsWR48eVbosIiIiIiIiItKBiKbNcdd/X8f2VUvx+4qvUVltP8Polq1x/bj/U6w+IiJ34uvri86dO9sdQ0QkNw+DB665LRbrFu63OU40uLsNaCZbXURq4VEpurh0Rdu2bZGeni69q1pcmvDwcFy6dEnpskhjMjMzERMTY3UsIyMD0dHRitVE+iL2PamK+53o6/qwfn3XL8f10fpjYL4288X9SkpKbI7x9/e/6pha6me+NvLlOAfz5c+vKDPh1+XH0Pvm1ggM83F6vpqvz4XUo/jh/TeRc+6M9HdPLy/c8+r/EN0qVhP1M1/efGe81qD0Y2A+85mvr3yzyYTy0hL4BQa5Jt9svuq1+cjIyFrvq8ZrxHzmNyS/0lyJJa/uwKUzhTbH9RrWCn1Hxqqufmdhv4Vqwhnc1Yjm9rRp07BgwQLk5eVJM7qJiNRGaw1DuWn9+rB+fdcvx/XR+mNgvjbzxf0CA20vnyYHtV4f5mvnHMyXPz/5h+M4uPUcjm6/gGtua4Pug5vD09PgFtdHLFV+76y38MuXn2D3T2txw/h7a21u1ye/rpiv73w5zsF85jPfffKL8/Ow9n+zpI/HPPsyDJ6eTs233KcuDSy1XSPmM7+h+ZZZ3D/O32dz3N6fz6DH4BYICLF+s6gzaf31PtIf/ouspk2bNpgwYQJycnKkd6Tceeed9c5KSUnB3LlznVofERERERERkV5cOluI3esv7xtoLDdj28pULHs1GRfS8+AuvH39MPjvD+Oul15Hwm13KF0OERGRXRfTU/HFjH/h9MF90m3LFx8pXRKRbsX2iEJ0y2CbY4xlJqSsPyVbTURqwAZ3NWPGjJFmbzvDhg0bMH36dKdkEREREREREemJWHLx5y+PwGyuvKrpveL1nfj5qyMoLaqAu2javhMMBtuz34iIiJR2cOtmfPP8NBRkZV45tuuH1Tj4yyZF6yLSK7Gd7jW3177Cj8X+n8+gOL9clpqI1IAN7mpmzZqF9evXY9WqVUqXQkRERERERKRbB387V/tM7UrgwC9n8dWLfyD3YrHcpREREVE1JqMRmz9dhB/fewPGiqubaOsXvifN7CYi52vVNRIxrUNsjjFWmLHrp5Oy1USkNDa4a5CUlISpU6diypQpOHHiRL1z0tLSnFoXERERERERkR6I2SW/r7L/O3NwpD9Cov1lqYmIiIhq3297xSvPSTO1ayOa3qvfeEUaS0QKzeL+5SyKcstkqYlIaWxw17IPd2pqKkJDQ5GQkIBhw4bhww8/xO7dux1ueItxS5cuRVhYmMvrJSL3U1lZaXUjfV0f1q/v+uW4Plp/DMxnPvOZr+Q5mC9P/rYVqSgrNtrMF9O4B9zdAQaDRwOr1t71YT7z+TOU+cxnvpryDZ6eKMy5ZDdDLFu+9q3ZMJtMdcqvTXl5OX7++WermzhWn8fgDMxnvpL5LTtHoHGb2mdxi0xjuQnJ606osn4iZ/OChuTn5yMkxPYyDA0lmtlVxcbGSkuWi/2060p8k4eHhzuxOiIiwGw248KFC1bHGjduDIOB71nSw/Vh/fquX47ro/XHwHzmM5/5Sp6D+fLknzmcjSPbL1ydX2lGfnH2lb93ubEpIpsHNqBibV4f5jPfFflynIP5zGe+fvP9AoMw8uln8eW/n0JFaYnNrNMH9uKXLz/CgPsmNrj+vLw8DBw40OpYRkYGoqOj6/wYGor5zFc6//Is7jb47u3dNp9Hb/spG027eyOuY2tV1U/kbKr/1zd37lz06dMHnp6eUrNY/BkZGSk1ojdv3uz08+3YsUNqZltuKSkp0g+Omt6hYu9GRERERERERH8xVZix5eujdscFhvqi55CW0KKCbPsz3IiIiLQmsnlL3PzIEw6N3fn9ahzc6vzX7oncXfOO4WjSNtTmGLOxEns3n5GtJiKlqLbBvWnTJqmRPX36dOzcudOqcZyTkyM1nxMTE9G+fXusWrXKaeeNiIiQ/mTDmoiIiIiIiMi5diWdRO7FYrvj+o5oAx8/TS06JzmXegRfP/s0tn+7FCZjhdLlEBEROVW7vtej76jxDo1dv+BdXExPdXlNRO7EMovbnqM7LiL/ku3VFoi0TpUN7kWLFmHIkCFSI9vSWBbfuFVvlqaz2Ct7zJgxeOSRR5y2/7Ygzp+WlibVUJ9bcnIy998mIiIiIiIi+v9EY3vnjyftjmvRKQItu1x+87mWlJcU4+ePF8JsNiFl3VqsnPUfZJ06oXRZRERETnX9uLsRG9/b7jhjRTlWv/EKivPzZKmLyF007xCOZu1t957MpkrsXGf/eTeRlnlUqmxq8saNG6XmsmBZGtwe8RDE2ISEBPz5558NOv+4ceOwYsUKqbndunXrBmWJ2ediiXWTydSgHNKezMxMxMTEOLQ/DFF9VP+5IrZvIP1cH9av7/rluD5afwzMZz7zma/kOZjvmnzxe7vYL/DM4Ryb4wxelZjwfF+ERPrXKV8N1+en+e9g78afrI55+/rgxgn3IeGWkfBwwh6Fav36Ml+efGe81qD0Y2A+85mvj/zSokJ8OfMJ5F44bze3ZdfuGD3zJVRvQjhSf11/7qnpGjGf+a7MP3csB6veSLE6Jt5kWZWXlxfu+e+1CIm6/Lxay6/3sd9CNVHVel95eXkYO3as9HHVfa+rq974tszoFkuZDx8+HOvWrWvwEuUNbW4LUVFRDc4gIqqJ1hqGctP69WH9+q5fjuuj9cfAfOYzn/lKnoP5rsk/tuOi3ea2cO2IdgiPCYLWrs++zUnYvzkJBoP16xWmigps+Xwx0nf+ieGPPIGQaOsX5vTy9WW+NvLlOAfzmc9898j3CwzCyKefxVfPPo2KUtvLIJ/avxe/fPkRBtw3Ea6mpmvEfOa7Mr9pu3BpP+6qz68NBut8s7kSO344gcH3dXLKObX+eh/pj6oa3AsXLkRubu6VhrUg9tnu1auXtB/3pUuXkJ6eLu2/LcZVbXZb7rN+/XppufIPPvigXjWI2ePZ2dlOeTyi7sGDBzsli4iIiIhIzYxGo93n0eLNpOJd5ETkXkqLKvDrsmN2x0U2C0T3wc2hNXs3rMP6Re/ZHHP64D58MfMJTHx3Mbz9/GSrjYiIbBMzAOfNm2dzzJQpU66aOUhAVItWuPmRJ/Ddm6/aHbvz+9VoFNsWnW4aKEttRO5A7MV95vBOm2OObr+AG8e0hW+At2x1EclFVa8uvfbaa1ca1aI5vGzZMsTGxtY623vJkiWYM2eO1PQWLPddsGCBNBN84MC6/4c5evRo6eYMornNBjcRERERuQPR3OaLg0RUkz++TUNJQYXtQR7AgHs6wtOz4ct4yyll3Rps+niBQ2P7jBjN5jYREelKu77Xo++o8di+aondsUkL3kVE85ZoFBsnS21EetckLhQtO0fg1MFsm3txnz2SizbxXMqb9Megpr23LbOyxV7aycnJtTa3hdDQUEyaNAmpqanSWNFItuzFLf60LHVORERERERERMq4kJ6HA1vP2R3X5camaNwmFFqSvHaVw83t5p26IuHWkS6viYiISG7Xj7sbsT0T7I4zVpTjuzdeQXF+nix1EbmDPrfX3kOzyDpTIEstRG7b4BZLi1ssWrSoTvcVs73F/WfNmnWlyZ2Tk4OZM2e6oFIiIiIiIiIissdkMuPnLw/bHecf7I1r79DWbK7t3y6T9tZ2hI+/v7T/dvV9EYmIiPRA/P92y+NTEda4id2x+ZkZ+P7t2TCbTLLURqR3jWNDEd44wOaYrDOFstVD5JYN7l27dkl/tmnTBj179qxXxrRp06TZ3Jb9u8VS5UREREREREQkv70bz+DS2SK7424Y0w5+gdrYF1C83vD78q/x69efOnyfxIceRWhMI5fWRUREpCS/wCCMfPpZePv52x17av9e/PLlx7LUReQOmrQNs/lGUt8AVe1UTOQ0qvmXLfbRFjOvJ0+e3KAcMZs7KSkJQ4cOlZY8X7x4MR588EGn1UlEpDSz2YwLFy5YHWvcuDEMBtW8Z0lRWr8+rF/f9ctxfbT+GJiv//xz585pun7mK5cvxzmY77z8/Esl+HNtut3M5h3D0f6aRqqrv7bm9m9Lvqh1n1FzZSUKSsusjo2Y/Bg63TigAVVXyVf59WG+uvPlOAfzma/FfGfR6/WpS35Ui1a4+ZEn8N2br9r9P3LT8m8Q3boNuvQb1MDKtXWNmM98V+RHNQ+CGWbAvxiRTYMQ0TQQEU0C0Sk+DsHh9t904g6v95E+qeZfX3Z2tvRnYmJig7NExujRo6VfPsWy5UREREREREQkn61LjsFYbrY5xtPLgP53dZDe7K524vUFMdustuZ2TW66+370unmES+siIiJSk3Z9r0ffUeMcGpu08D1knLD/Zjgisq3DtY0x8c1+GD21Nwbc0xHdB7ZA844RCAz1Vbo0IvdocIvZ1kJYWO3LKdTFnDlzrswMz8/Pd0omEREREREREdmWvjsTJ/Zm2R2XcHMrhDWyvWegWprbmz9diOQ1Kx27g4cH+t/7oFNnpREREWnF9ePuQWzPBLvjjOVlWD33FZQVF8tSF5Fe+fh5STcid6OaBrdF69atnZITGxuLwYMHSx9v2LDBKZlEREREREREVLvyUiO2Ljlqd5xobPca2gpqV2k2Y+PiD5Dy4xqHxnt4GDDo/knodEN/l9dGRESkRgaDJ255fCrCGjexOzY/86L0JjIiIqK68qgUb0VWAbFWv1iWzGQyOS1z4cKFePjhh6V9vefNm+e0XCJ7MjMzERMTY3UsIyMD0dHRitVE+mI0Gq3+7uXFd+np6fqwfn3XL8f10fpjYL4288X9LNsO1SYiIuKqY2qpn/nayJfjHMxvWP6vy45hz8bTdnNGPhGP5h3C65zfUHXJN5tNWL/wPezfvN6hbA+DAUOn/Asdr+/nUH59qOn6MF/+fGe81qD0Y2A+89WWL76H7L1uPGXKlKu+9xzNdyat5WedOoGvnn0aFWWl0t9NZuutSzyr7N078uln0bbPtTXWdOTIEatjHTp0qLU2rV0j5jOf+Y5hv4VqoqpXnJ21PLnF+PHjpQZ3cnKyU3OJiJSmtYah3LR+fVi/vuuX4/po/TEwX5v54n6OvPDnamq9PszXzjmYX//8zFMF2LvJfnO7Q9/GNTa37eU7g6P5ZpMJP817Cwe3bnZovMHTC7f9c5q096grqeX6MF+b+XKcg/nMZz7zLaJatsbwR5/Amjdfu6qhXV3SwnfRtH1HBISGXVVTly5ddHuNmM985hPpaIlyZwoNDUWbNm2u7O9NRERERERERM5nNlfi56+OwN4acb4BXrh+dFuomcloxA/vznW4ue3p5YURT81weXObiIhIa9r3vQF9R42zO64kPw9JC9+DShabJSIiDdB1g1sQDe709HSlyyAiIiIiIiLSrQO/nEXGiXy7464bFYeAEB+olclYge/fnoMjv291aLyXtw9GTn0OcQl9XV4bERGRFl0/7h607Nrd7rjC7EsoKy6SpSYiItI+3Te4nb3sORERERERERFZyzxdYHdMk7hQdL6hKdTKWFGB7958Dcf+3ObQeC8fX9wx/XnE9kxweW1ERERaZTB4YtiUf8HHP6DGz3sYDLhuzN2466XX4RcYJHt9RESkTbpvcEdERChdAhEREREREZGuDbq3E259tDuCI/1q/LzB4IH+d3eAh8EDalRRXobVc19G+s4/HRrv7euHO2e8iFbderq8NiIiIq0LiYrBoAcmX3U8omlz3P3yG7h+7N3Slh9ERESO4v8aRERERERERNRgrbtFoVmHcCR/fwK715+S9uW26JHYApHN1Dkrq6K0FN++/hJO7d/j0HgxA+3OGf9Bsw6dXF4bERGRXnTuNwipO/5A6o7fpb/3umUkbrzrPnj7+NZ6H6PRiCNHjlgd69ChA7zYDCcicnuq+p8gNzdX6RKIiFTPbDbj4sWLVscaNWoEg0H3i3K4xfVh/fquX47ro/XHwHzmM5/5Sp6D+Q3P9/bxlPbZbn9NI2z56gjOp+UhOMIPfW6NVWX94SHBWP36yzhzaL9DGb6BgRg9879o0raDW359ma/dfDnOwXzmazHfWfR6fZyd33XEGJw+dRJ9R41DQv9BdvNzcnLQtWtXq2MZGRmIjo5W7DEwn/nMd34+keYb3ERE5JjKyr9mw5D+rg/r13f9clwfrT8G5jOf+cxX8hzMd06+mK096qleOPT7eQSF+cLb19Op+fVVPf/S2dO4kHbMofv6BQVjzL9fQqM2bR3OdzbmM1/t52A+85nPfFv5/kHBGDX9BXh4uGbLEj1cI+Yz31X5xfnl0p8BIT4uySeCuze4V61ahVGjRildBhERERERERE1gNhvu/MNTaFmYib2HVOfw6o5/4GpoqLWcf4hoRj77MuIbmV/JjoRERHVzlXNbSK6rNJcifxLpSg4cxHZ54qRdboQWWcKUJxXjoSbW+HakXFKl0ikzwb3mDFjkJiYiCFDhkgft27dWumSiIiIiIiIiEinWnXviZFP/Rur574Mk9F41ecDw8Ix9rlXENm8pSL1ERERERE54reVqUhPyYSx3ISQgAgYPKyXEM86U6hYbUTO5lGpknUFxFr94t1bopyq7+IKCwu70vAWf9a14f3www9j0aJFMJlMLqiaqGaZmZmIiYlxaH8YoroSPyeN1V548/Ly4jtgdXJ9WL++65fj+mj9MTCf+cxnvpLnYL5756cmb8eaN1+FucrrB0ERkRj73KuIaNpM9fUzX//5DX2tQQ2PgfnMV1u++L6aN2+ezftOmTLlqu89d7k+SufX5eeeWh8D85kvZ/6Wr4/g4NZz0jGDwfOq/MAwX9w/64Z65yv1eh/7LaSJGdyWJrdFTk4Oli9fLt2c0fAmItI68XPS29tb6TJUS+vXh/Xru345ro/WHwPzmc985it5Dua7d37b3n1x6z+nYe1bs1FpNiM4KhrjnnsVYY2bOCW/oZjPfLWfg/nMZz7zlcqX4xzMZ74W8hu3DseRbRm1jivKLUNJQTn8g33c6vU+0ifVNbiF6u/6YMObiIiIiEjdzGYzSkpKbI7x9/eXVm4iIlKr9n1vwM2PPYVtS7/AmH+/jNCYRkqXRERERETkkKgWQXbHiD25W3SOkKUeIrdqcFdtZlsa3Q1peLvC+PHjpZq++eYbl+QTEREREWlNVlaWU5Z3JCJSWqcb+qPdNdfDi7NUiIiIiEhDIpsFQbTTbG1MnHmmgA1u0gXVNbjHjBkjNad37tyJDRs2ID09vUENb4uZM2dKDe9BgwY1uMb169cjLy+PDW4iIiIiIiJyCyajGRVlJvgFukfTl81tIiIiItIabx9PhDUKQM6FYpszuIn0QHXrA86ZMwcTJ07E/PnzkZqaKjWsly1bhkmTJiE2NlZqZltuFqLhXfVWdYzlNnv2bKlx7unpiT59+mDGjBnYtGmToo+ViIiIiIiISAtS1p/Cly/8gcN/nLf6fZyIiIjIFSrNZuxO+v6q42nJfyhSD5FWRLUItvn5rDNscJM+qK7BXX0P7dDQUIwePbpBDW+h6jgxO1w00uvb8M7NzZWWQiciIiIiIiLSu4yT+dix9jhKCyuw8ZNDWP1WCnIuFCldFhEREelUXsZFLH1pJrYt/fKqz/38xccoys1RpC4iLYhqbnsf7twLRagoN8lWD5HbLFFuj6XhLW6CWCpcLGUulg2vy5LmVRviouG9a9cuqekt9OrVS9pnWyxp3rNnT6v7ivMRESnJbDYjIyPD6pjYz9RgUN17lhSh9evD+vVdvxzXR+uPgfn6z79w4YJL87V+fZiv7DmYf7XyEiN++vAAzKZKmCvNKCzJRX5KNg7vPY7uA5ojcUIv+Ph6q67+7HNncObgfnRPHO6S/Jown/lqzpfjHMxnvhbznUWv10fufPGa/YGfN2DzpwtRXlJSY1ZZYQGSFryDO6Y9b/W6v1oeA/OZr3S+2a8I+cXZCPIPg8Hj6nzRGss+W4RGsSH1ytfi632kT6pqcNdnVrQrG94WotEtZnu3adMGO3bsqNdjIyJyJvGkgvR7fVi/vuuX4/po/TEwn/nMZ76S52D+X8TvyT9/dQT5mX+9wCya3BIjkLLhJLKOGTHw7k5o0TlCNfWXFhbi2zkvIef8WWScSMPA+yfD08tLc9ef+czX4jmYz3zmM7+h+Ye3/VJrc9sifdcO7NuUhO6Dh9XrHPXFfOZrIT+8ccBfz9lrkXWmoE4N7qr5RGqhmgb34MGDr2o810dtDe8lS5ZIf4rlxeva8Bb3E7eqIiKc88s7ERERERERkRod/v08ju24aHNMXmYJti47hgnPXQODoeG/0zeU2WTC9+/MkZrbwp71P+LS2dO4/YkZ8AuyvR8hERERKUu8Tj/s4X/i06mPoqzI9nYoP3/2IVp27YGwRo1lq49IC/yDfRAQ7APYWIU86zT34SbtU836AWLGdVJSktNzLQ3vpUuXIjs7G2lpaViwYAHGjBkjfc6RPbyrjqk6TovETPTw8HBoiXhTwsKFCzF27FjExcVJ9Yuvi/gzISEBkydPxvLly5Uuk4iIiIiISDeyzxfhl2+O2h0n3i8+4J4OqmhuC798+RFO7PlrRTZBLFX+5cwnkXnqhGJ1ERERkWOCI6Mw+O9T7I6rKC3Bug/+B7OZewkTVRfRLNDuDG4irfOo1HrHtoGOHz9utaR5TTO8qxOXTDRajx07Bq0QS65PnDjxytLrOTk59VoSXk7iazF9+nSpuW0hlokXN1G7+HxycvKVr5k4NmPGDEybNg1Ky8zMvGofH7FHRXR0tGI1kX6In0Hl5eVWx3x8fJyyCoYeaP36sH591y/H9dH6Y2C+dvPF/c6dO2dzTJMmTa46ppb6ma/+fDnOwfzLjOUmLJ+9E5fOFl6VbzRXWB27bkR79L29TQOqdl79+zevx0/z3671814+vkh8+HG07X1tvfL18vVlvnbzG/pagxoeA/OZr7Z88X01b948m/edMmWK3f269Xp9lMoX49e+NRsHf/sFJy7lWH2udWQ4vDz/mrfX754H0GfEaNU9BuYzX8n87d+lYe+G87Xme/kYMPGt/g6/SVXp1/vYb6GauH2Duz4Nby01uMUe5KJJXH2Gs9ob3OLaixnb4vr36tULs2fPlvZCr+0xis9bGuGiAb5s2TLpfkrhD1wiIiIiItKqLV8dwf5fLi/xbUvTdmEY+US8KmZvnz1yCMv+OwMmo9Hu2DufeRGx8b1lqYvImfhaA5Hzie8hZzS4yflKCvLx6dOPoijXusFdnaeXF+557S1Et2wtW21Eape6MwM/Ldpvc8zdL/ZFeGPbM73Vgs+BSNVLlKtFbGysNNO5+pLmormqhSXKRbNXNLNFU1ss3y0a8Vpbvls0qsVS6mKfc/FGg507d9ba3LY0tMXXSIwTH4trIB579X3TiYiIiIiIyLa0XRkONbf9Ar0x5O9dVNHczs/KxHdvvOJQc7tF525o2a2nLHURERFR/fkHh2Dow4/bHSf+///xvTdgMlqvMkPkzqJaBNkdk3WG+3CTtrHB7WDDW+wPLhre8fHxUBvLntTiJhraYubznDlzpOXIxV7j4qYVoikt9tQWjWp7je3qxIxtS5NbEE1y0ewmIiIiIiIi+/KzSrDp88MOjR18fycEhftCaRVlpVg992UU5/21+lptQqIb4bYnnpFmehEREZH6tYnvg+6Dh9sdl3nyOLYt+0qWmoi0IDTKH96+njbHZJ1mg5u0jQ3uOhBLei9atAhqU3UPatHknTRpkrREt1iGXPzZp08faIVozgti5nZ9llAX9xH3rZ5HREREREREtTOZzFj/0QGUl9ifBd1jcAu07hYFpYkV1n6a9zYyjqfZHevt5487pj2HgJBQWWojIiIi5+h/34MIbdTY7rgdq1dIW5YQEeBh8EBUc9uzuLPOFMhWD5ErsMFdR5Z9ncVsbrWwLJ0uGtpiBrNYrlvM2lbzHts1Ecuqi2a9qN0yC7s+xH2nTZsmfSxmsXOpciIiIiIiItv+XHMcF9Lz7Y6LbhmM6+6IgxpsX7UUR37f6tDYWx57intzEhERaZCPnz+GP/IE4GF7W5TKSjPWvf8myktLZKuNSM2iWgTb/HwmZ3CTxrHBTarae1sYP358g7PEMucWouFPRERERERENTt9MBu7fjppd5y3nyeGPtQFnt7Kv5SQuuMP/Lbkc4fG3jD+XrTtc63LayIiIiLnMpvNyMzMhG9kDNoNGILC0jKYKytrHZ978Tx++eJjWWsk0uo+3CX55SjKK5OtHiJn48ZT9SBmRluWBSfnEDOtqy613lBiFrfl68R9uEmvT+6rio6OhsGg/AuNaqD168P69V2/HNdH64+B+cxnPvOVPIc75hfnl2P9JweB2l8rvqLfXe1QVlmAixcLFK0/89QJ/PDeGw5ldrjuJvQdNa5O+fXFfOarOV+OczCf+VrMdxa9Xh+l8y9duoSYmBirYy+OSESQn+/V56isRFFZOX5dswohsW3RqmsPVTwG5jNfqfyIpgF275d1phCBob66f72P9IkN7nqIiIhAXl6e0mXoStUmtLMa0qLJLRrnbHCTHplMJqVLUDWtXx/Wr+/65bg+Wn8MzGc+85mv5DncKb/SXIkNHx+QZm/Y0+n6JmjfpzEuXLgAJesvzs/Dt3NeQoUDy4/GtI7DsCn/hEeVJU3VdP2Zz3y58+U4B/OZz3zmuzrf4Fl7S8Myu3vTJwsx9vlXnfomBi1dI+YzX4hqGijtxS2e89cm63QBWnWJrFc+kdL49op6GD16NAYPHqx0GbpStQm9fv16p2RaZoSLNyQQERERERGRtZT1p3D6UI7dceGNA3DT+PZQmsloxJr/vYb8zIt2xwaEhmHk1Gfh7esnS21EREQkj2vuGGN3THFeLn79+jNZ6iFSKy9vT0Q0sT2LO4v7cJOGscFdD7Nnz0ZSUpLSZehK1WXJly9fLs28dlbTXMzkJiIiIiIior9cSM/DH6vtr3bl6WXA0Ie6wtvXE0rb/MlCnDm43+44Ty8vjHz63wiJcu6sLSIiIlJez2G3omn7TnbHpSX/gcO/bZGlJiK1imoebHeJciKt4hLlpArVZ1mPHTsWO3furPd+3Bs2bLDKItITscRi9e+ZqssuujutXx/Wr+/65bg+Wn8MzGc+85mv5DncJb+suAJJHx6wuVyhxY1j2yKqeVCd8uvLVv7upB+wZ/0PDuUkPvRojS98q+X6M5/5SuTLcQ7mM5/5zJcj32DwxM2PPonPpv0DFWWlf+WJFVx8vK3GbvpoPlp164nAsPB6Vq7Na8R85luORbUIwpHttd8vN6MY5aVG+Ph56fr1PtInNrhJFRITE6+afZ2QkCAtV16fGdjTp0+/8vG4ceOcUiORWognD35+XGpRr9eH9eu7fjmuj9YfA/OZz3zmK3kOd8ivrKzE5s8PoyD7rxeEaxMXH40u/ZrVKb8hass/fWAvNn+ywKGMhFtHouvAIXXKdxbmM1/N+XKcg/nMZz7z5coPa9wE/e99EBs+fN/qHN6e1ivOlBUXYcsXH+GWx55yu2vEfOYLljeq1qoSyD5XhMZtQuuVT6QkLlFOqiBmatfU5I6Li8OcOXPqlLVw4cIrS5yL5eTrOwuciIiIiIhIbw5sPYe0lEy744Ij/DDg/zoqPjMj9+IFfPe/WTCbTHbHtuoej373/F2WuoiIiEhZ3ROHI7Zngt1xh7ZudmiLEyI9imphe4lyIet0gSy1EDkbZ3CTaohZ11WXFq96fMmSJVi0aBF69eplM0M0ti2zt0XDfNq0aS6rl4iIiIj+kpGRgXnz5tkcM2XKFMTExMhWExFdvcfer0uP2R3nYfDA0Ie6wC/QeplPuZWXFGP16y+htCDf7tjwJk1x2z+nw1Bt5hYRERHpk3gT3tCH/4lPn34UpYW2G3QbFn+Ae2e/A08vtkPIvYjn80ERvijMLqt1TOZp7sNN2sQZ3KQaoiE9ZsyYWhvXYsnyqkuPVydmfA8ePBi5ublSlljenIiIiIiIiICKMhOSPtwPk9Fsd2zfEbF2lyl0tUqzGT+89yayTp+0O9Y3IBAjpz4HvyA7SzASERGRrgSFRyDxoUfsjrt05hRS1q2RpSYitYlqbnsWN2dwk1axwU2qsmzZMpt7bovlysWy5ZYlyC2WL18uNcBFc1vM2mZzm4iIiIiI6C9blx5FzoViu+NadApHr6GtoLRty75EWvIfdsd5eBhw6+NTEdmshSx1ERERkbp0uO4mxPW+1u64bcu+QkF2liw1EalJVAvbbwK9dK4IZpP9N8ESqY0iDe65c+eiT58+eOONN5Cfb3+pMXIvO3futLkUuZipLZrZkydPlj4eO3asdLM0yMW+20RERERERHTZ0R0XcOi383bH+Yf4IPGBLtIS5Uo6vO0X/LFyiUNj+91zP2Lje7u8JiIiIlKvgX+bCC8fX5tjKkpLsOXzj2SriUgtoqvtw+0f7I0WnSMQP7QlhjzYGeNm9pGW/CfSGkU2nXj11VeRl5cnzcIVs21FM/Phhx+WmpQhISFKlEQqEhYWJjW5xXLkYsZ2bRYuXCjdBPHviI1tchdmsxlZWdbvOI2KioLBwEU59HB9WL++65fj+mj9MTBf//lir25X5mv9+jBf2XPoNf/kvksO3X/I/Z0REOKjaP0Hk3fg2//NhrG8XDoW6OsDQy0vuHXuNwgJt42Cu399mc98tZyD+czXYr6z6PX6aCU/NKYR+owcg6RqDeyqzyO8ff0Q07oNKisr69XM0/o1Yr775jeKDUHfkW0Q1TxIanYHhPrU+XtA66/3kT4p0uBeunSp1LxMSUmR/i4a3ZMmTZJuQ4YMkWbmjhrl+C+ppE+iYT1+/HjpjQ9iprYtYmlytYuJianzfV544QW8+OKLLqmHtM1oNCpdgqpp/fqwfn3XL8f10fpjYD7zmc98Jc+hx/zEBzojpnUItq1MhdlYWeP9eg1rJc3kqE++sxTl5uD7999AeVmZ3bFN2nbAkImP1fnFOT1+fZnPfDWdg/nMZz7zlcrvffud+H3dWuRlXLzqc+373oD+9z2EkKhot75GzHfP/MBQX/S+ubXL8omUosjbKxITE6UZumlpaZg6dSpiY2Old06Jm9g7ecyYMfD09MQjjzyCTZs2KVEiqYSY3S/+rdjal1sQM7nDw8OlvbiJiIiIiIjoL6IJ3GNQC4yZ1huh0f5XfV7M6rhmRCyUVlFWJs2usicoIhIjnv43vHxqn21ORERE7sXL2xs3jrvX6lh4k6YYPfO/uP3JGQ1ubhMRkbooun6AaGyLWbqpqalSE3PixIkIDQ290uxesGCBNKM7MjISM2fOxO7du5UslxQgGtfi34mYwS3eGGGr0S1mcVfdj5uIiIiIiIj+Et0yGOP+3Qft+za6csw3wAtDH+wCT0/llxcMa9QYo6Y/j1bdetQ6xsvbByOffhZB4fZnmxMREZF7adG1O2Lje0vPF64ZOQb3zXkPrXv0UrosIiJyAY9K0UlWmY0bN2L+/PlYsWLFlWOWZcdEg1Ps1z169Gi0bt3wZRXcgdjHWiwJX1VOTo6017VaiYa2aFSL5etFnYsWLZJm9gv29ua2zPwW/46UeoyZmZn1WpK8Oi5RTjURP7ZLS0utjvn5+dVr/yA90vr1Yf36rl+O66P1x8B87eaL+4kVmmyp6c2Kaqmf+erPl+Mc7pR/+Pfz2PLNUST+rRPiesWoqn6z2YRtS7/EzrXfwsvTYJV/y+NT0emG/g3Kd4evL/P1mV/Taw0ZGRmIjo7WzGNgPvPVll9WVmb3OWxcXJw01h2vj9L54uvz3XffWR0bMWIEfH19az1HYfYlmIxGaV9uNTwG5jOf+Q3X0OdApE+qbHBXJZacFrN4N2zYcOWY5ZtGNDFFs1s0QkNCQhSsUt201uAWX3PLLGzR1F62bNlVY0Tj297e3OLxiSa3+HciNza4iYiIiIhI7YrzyxEQot5lvg9u3YykBe/AVFEh/f2aO8biprv+pnRZRIrhi7tERETkjvgciGqi/BpkdogGZ1JSktSQFbO6RbPSsoS5aHJOmjRJ2nt5+PDhWLVqldLlkhOa8faa24L4dyDeXSmWuLe1ZHlCQoLNJricxA9cy79dR29sbhMRERERkauoubktdL5pIMa/OAuB4RFok3ANbhxvva8mERERERERuSfVN7gtxN7copmdnJwsNTZnzZol7c1saQSuX79eaoh6enpiwoQJ2LRpk9IlUx2JmfqWmebia11bc7uqadOmSf8ebM3SFvu4ExERERERkfY0adsB//fq/3DLY0/Dw6CZlzCIiIiIiIjIhTT526FobIvGZmpqKnbu3ImpU6dKDXBLs1s0RkVTMzIyEo888gh2796tdMlkh5iNP3nyZOlj0axesGCBw/cVezmKfwe13UfM4La3ZzcRERERERGpU1BEJHwDApQug4iIiIiIiFRCkw3uquLj46VlqrOzs6VZ3BMnTrzS6BbLmoump1imul27dnjjjTdw4sQJpUumGliWJRcWLVpUrwwx67u22dyvvfZag+ojIiIiIiIiIiIiIiIiIuVpvsFd1eDBg6WGttlsxtKlS5GYmHil2S0an2LWd1xcHPr06YPFixcjPz9f6ZIJwPLly6/sky2+ZraWG3d0NrfIqb4f94YNGxpcKxERERERkZpcPJ6Pte/tQUWZSelSiIiIiIiIiGThBZ0S+3GLW15eHpYsWSLt7yyWwRbEn2K2r7iJpczF0tijRo1SumS3VXVpccse3A0lZvOLNzNYGueWY9Ub30RaJN7Ec+nSJatjYksGA/ck1MX1Yf36rl+O66P1x8B85jOf+UqeQ2v5x3ZcxMbPDsFUYcaGTw5i6IOdkZ2T7bR8Z9affe4Mwps0g4eHh0vyHcF85rtzvhznYD7zmc98Z+dnZmYiJibG6lhGRgaio6Oddg6Li+mpiGzeEl4+Pk59DI5iPvPdOZ+oPnTb4LYQe3Nbmtmi2S2aqaLZbWl8iqanuFmWyRbjBg0apHDV7qXqzGpnNqDFXuxieXqLqs1uIq2rqKhQugRV0/r1Yf36rl+O66P1x8B85jOf+UqeQwv5YpWyHWuPY8f3f23BlZ6SiT++S0fstYFQW/2nD+zFytdeRLfEYRh430R42HghTAvXn/nM12q+HOdgPvOZz3yl8ut7jpLCAvz2zWfYs2Edrht9F64fe7dT8+uC+cyXO784vxxZZwqQdboQWacLEBoTgL4j2jgtn8iVdN/grt7sFsuUi9vx48cxf/58ab9nsXy1pSEqbmFhYRg/frzU7O7Zs6fSZeta1aazWF7cmcRS56JhbmmgW77OREREREREWmUsN0mztlOTM6763K6fTsLkHYm2CY2gFuePHcGqOS/BWFGOlB/XoKK0FEMmPQaDwVPp0oiIiMiNVZrN2L9lA7Z++QlKCi5vZfrn6mXo3G8Qwho1Vro8Ipc4n5aHE/uyLje0zxSgOK/c6vNRLYJqbXATqY3brh8QGxuL2bNnIzs7W9qzeeLEiVIDXLwTPicnR5rpLWb/tmvXDjNnzsSJE3+9M55c0+AWbyxwNrEEvSvziYiIiIiI5FKUV4ZVb6bU2Ny2+G1lKi4cz4MaZJ48jpWvvYCK0pIrx/ZvXo/v35kLk5EzQIiIiEgZGSfS8fUL05A0/50rzW3BVFGBzZ8skHoERHp05nA2dq07iVMHLl3V3BayzxfBZDQrUhtRXbnVDO7axMfHSw1tcVuxYoW0Z/fy5culz6WlpUmNcHETM4InTJggNcNDQkKULlsXIiIirnzsihnWVWeFO3uGOJFSxL6F1d+wYWsvQ3ej9evD+vVdvxzXR+uPgfnMZz7zlTyHmvMzTxfghw/2ojCnrPZ8eMDPEIg/lp7BnU/FICTKX7H6s8+dxfJXnkNpUeFVnzv6+1YYy0px2xPPwNvHt175rq6f+czXW74c52A+85nPfKXyHT1HRVkptn71KXb/9D0qK2tu4qXv2oG05O1o2+faOue7un7mM7+h+VEtgm3mmI2VyLlQjKjmQfXKJ5ITG9zVjB49WroJYq9u0ei2LHEtZnrv2rVLWuJczAyePHkyRo0apXDF2la16eyKPbLFDH2LPn36OD2fSAniyUNAQIDSZaiW1q8P69d3/XJcH60/BuYzn/nMV/Icas1P352J9R8fhLHMZDffx9sPlWXA8Z05uG5UZAOqrX/9+ZkZWP7ysyjOq/1NzOLF41Wz/oM7pj0HHz//OuXXF/OZ7875cpyD+cxnPvOVynf0HJ5e3jhz+ECtzW2LzZ8uRKvuPeHt61en/IZgPvPlyI9uYd24rolYurymBreWX+8jfXLbJcodIfbgTkpKkpYsnzVrljSDWyxPIm7r16/HmDFj4OnpKc3q3rRpk9LlapJ410/VJrflzQTOImbgW4ivFxERERERkVaI3z3Fvto/Lthnt7ldVe9bWuPakXFQQmFONpa99G8UXMq0O/b0gb04uIW/SxMRkXJKS0tx4MABmzcxhvTB4OmJwX+f4tCb9bavWiZLTURyCgzzhV+gt80xYn9uIi3gDG4HiL25xaxtcTt+/Djmz58vLWVumXG8bNky6SaatePHj5ca4z179oS7EUuMWxrUiYmJDu95LWbCT58+XfpYLBMv7ussYha+wOY2ERERkWtlZWXh448/tjnmgQceQFRUlGw1EWmZqcKMn786jMO/X3D4Pp5eBgy8tyM69G0MJYg9LMXM7dyL5x0a32Poregx9BaX10VERFSb/Pz8K1tV1mbKlCnw8/trJi9pW7MOndBlQCIO/Gx7olXymhXo3G8QIpo2k602IlcTM7GjWgThzOGcWsdknS6QtSai+uIM7jqKjY2V9uNOTU2VliwX+3GLBrh4Z72Y6S0atAkJCYiMjMTMmTNx4sQJqFHVpbudQSzdLq7N2LFjpZv4WBxzhHhDgIV4Quno/Rxpblv29RZfMyIiIiJyHbPZjOLiYps3MYaI7CspLMfqt1Pq1Nz2D/bGHU/GK9bcLisuxopXX8ClM6ccGt/5poEY/MBk7t1HREREsut3zwPwDQy0OcZkNGLTx/Ol1/2J9KT68uPVZZ0p5L970gQ2uBsgPj5eamiLZrFYslzs3W1Zwlw0u0VTNS4uDu3atcMbb7whvSNQCZcuXXL5OQYPHnylmSyIj8UxR4iZ3uI6WogGedWs+hCz68XMcEF8Haoug05ERERERKRW2eeKsHxWMs6n5jl8n8hmgRjzTG80bhMKJVSUlWLV7P/gYvoxh8a3u+Z6DJvyL3gY+JIEERERyS8gJBQ3Tvib3XEn96bg2J/bZKmJSC5RLYJtfr6s2IiCbG7NQOrH3yadRDRzxTLlYlbK0qVLpWW2Lc1usQ+0WN48PDwcw4YNw+LFi2WtraYZ0c6aJW1pJtfUkBbHLMu4OzKL2zKTW9xHzIKvb5NbPDZxf0uuuPZERERERERqd/LAJayYk4z8LMdfUGrdLRJ3Tk1ASKQ/lGCsqMDqua/g7OEDDo1v3TMBtzw+VdoDk4iIiEgp3ROHoVGbtnbHbf50EcpLS2SpiUgOYolye7gPN2kB9+B2AbHfs7jl5eVhyZIl0lLZloay2KNa3MSe08nJyWjdurXL6hDnFDOjLftiVyWWVhczz0UjvqGzmyMiIur1ueoss7jF9RJNbrHM+aJFi+q0f/acOXOu7OctmttVZ4YT6YV4I031bQbE95qBM2B0cX1Yv77rl+P6aP0xMF//+WKvblfma/36MF/ZcyiVL5bp3vfzGfy69Bjqshpgz8QWuO7OtjAYPBSp32wy4bdPF0qzmxzRvFNXjHhyBry8vR3K18vXl/nMV0O+HOdgPvO1mO8ser0+WsmvzzkMBk8MfnAKvnr2adh6AlZ4KQt/rPgGN971N01fI+Yz3yK8UQA8vQwwGc029+Fu0zNatvqJ6oMNbhcSe3NbZiYfP34c8+fPx4oVK6TmrfhhIP50RoNbNHRFU9jCkZnPYoxlCe+qS4VbbNy4Eb169XLo/OJ+ogkt9s+uShyrmukI0ZAeMmSI1IAXNYrlykUDXjzG2prxopFveSOB5bGL2fR1aYwTaU15ebnSJaia1q8P69d3/XJcH60/BuYzn/nMV/IccuebTGb8tiwNB34563CGaGj3v6cDOt/Q1G6+s1nyK81mbP50Ic7v2QmDA/toN2rTDndMex7evn4O5bsK85nvzvlynIP5zGc+85XKr885mrTtgO6DhmHvxnU2x+38/lt0umkQKrxqfpOes2j9a8B8beQbPA3SFkcZJwts7sNd33wiubDBLRMxG1nsBS1uKSkpUoN70KBBTssXjV1LM7muTeXqOfUhGsqiYS6WZxdEU1881voQjWnRzBYN69dee81qP21BNLnFY6xpCXSxHPmMGTMadA2IiIiIiIjkUFpcgbXv7sG5o47vt+0b6IWbJ3VDsw7hUIrYimvrN5/i6PZtCPbztTs+qkUrjJ75H/gGBMhSHxEREZGjbrzrPhz9cxtKC/JrHSNWrdn40XzcNPExaeUdIq2Lah5ku8HNJcpJA9jgVkB8fLxT8yyNc6WJ2dfOWhJcNKhFs1rcxBLr69evl/6s2tQWY8Qs8969e0szvUVTnIiIiIiISAvyMkuw8dODqCzyh8HDsaX9whoF4NZHuyMsJkDR5vYfK7/BwV82OzQ+rHETjHn2ZfgHh7i8NiIiIqK6Es9Rbrrrb1i/8F2b404f3Iu05D/Qts91stVG5CpRLYIBnK/18wXZpSgtqoBfoGtXLSBqCDa4SfVE45rNa6K/iHeKii0Qqh8jfVwf1q/v+uW4Plp/DMzXbn5wcDBuvvlmm2NCQkKk5lh98rV+fZivjXPIlX/2aA42fZSK8mIDfLwcy2/eMRzDJna1+SKTHPUf/Xk9jvy8Hn7el19OsJUeHBmNsc++gsCwcLf6+jKf+WrMl+MczGe+FvNjYmLwwgsvuCzfWdw1PygoCO+9995Vx5x5DqHbwCHYvykJ51OP1DpGJKV8txxdr+93ZVUaNVwj5jO/PvmXG9y2XTpTeGXVKK2/3kf65FFZ/RUmImqwzMxM6QlyVRkZGYiOjlasJiIiIiIiUt6BrWfxy9dHYTY7/qt41/7NcOO4dvD0dGymt6vs/H41fv5skUNjA0LDMOE/sxHepJnL6yJyF3ytgYjIdS6mp+KLmU+I5Wpsjku49Q4MuO8h2eoicoXyUiMWPfELYOOf+w1j2qJnYkuoAZ8DUU2U/e2YiIiIiIiIyA2Ihvavy4/h5y+PONzcFpMibhrfHv3v6qB4c3vvxp8cbm77BQZJy5KzuU1ERERa0ahNW/QYcovdcbt+/A6Zp07IUhORq/j4eSE02t/mmKwz3Ieb1I0NbiIiIiIiIiIXMpab8NPC/diz4bTD9/Hx88Rtj/VA94HNobQDWzZi/SLr5UFr4+3njztn/gfRLVu7vC4iIiIiZ7px/L3wD7Fehrm6SrMZGxfPu2rrJSKtiWpue5nyrNNscJO6scFNRERERERE5EIeBg9pGUBHhUT5YfS03mjZJRJKO/Trz1g37y27y3UKXt4+GDX9eTRp20GW2oiIiIicyS8oCP3uecDuuLOHD+DQ1s2y1ETkKtEta97P3iLnfBFMFWbZ6iGqKza4iYiIiIiIiFzI08uAmyd3Q2Rz2y8iCU3ahmLMM70R0TQQSjvy+6/48f03HWpuGzy9MOKpmWjRuZsstRERERG5Qpd+g9C0Q2e747Z88RFKizjDlfQ7g1tsq5R9vki2eojqig1uIiIiIiIiIhfz8ffC7Y/1QFCEb61jOl7XGCP/GQ//IB8o7diO3/HDu69Ly3Da4+FhwK3/nIrY+N6y1EZERETkKh4GAwb//WHp+Y0txXm52Lb0S9nqInK2qBb233ybebpAllqI6sOrXvciIiLFmM1m5ObmWh0LCwuDwcD3LOnh+rB+fdcvx/XR+mNgPvOZz3wlz+HqfP8Qb9z4fy2x9r09KCu+vGS5v2+QlH/dqDjED2kJDw8Pxes/sWcX1v5vNswmk3V+ZSVKyyusjvn5eOOWR/6J9n1vqHfdevn6Mp/5as6X4xzMZz7zme/s/KysLHTq1Mnq2KFDhxAVFeW0c9QkpnUbxA+/Dbt+/M7m86Bd69aiw/X90KyDdY16+howX7/5ASE+8A/2RkmB9b/rqrLOFOri9T7SJ902uE+cOIH09HTplpaWJn3zZWdnS5+zfCOKb8CIiAjpTyEyMhJt2rSRbj179lS0fiIiW0pLS5UuQdW0fn1Yv77rl+P6aP0xMJ/5zGe+kudwdb5/mCduuicOSR8egMloRrCvJ4b9vSva9IxWTf0RzZojJCoauRfPX/W5imozum97cAq69B8MZ9H615f5zFdzvhznYD7zmc98Z+ZXVlZKTe7qx5x5jtpcP+4eHPl9K4pyc2p9HuRXacbat2bh3llvIyD0co9Bb18D5us3X7yxNrpFME4dvNw3q0lWlRncWn+9j/THSy/N7A0bNmD9+vXYtWuX1NR2Bkuzu1evXhgyZAgGDRrklFwiIiIiIiJyX41jQ9HvrvbYvvo47nyyFxq1DoWahETFYNyLr2HZf/+NnPNnax13w7h70GPILbLWRkRERCQH34BA9P+/v+OH996wOa4w+xK+f3cuRs/8DwwGT9nqI3LWMuU2G9xnClFprv1NJURK0uT6Afn5+fjwww8xbNgwadZ1XFwcJk+ejOXLl0uztcW7uCy3+rDcVzTKReN8zpw5UoPb09NTOqc4t2iqExEREREREdVH665RuHNqL0S3DIYaBUdEYfyLsxDZvGWNn7/2zgnoNmiY7HURERERyaXjjQPQvHNXu+NO7duN35d/I0tNRM4U1dz27yIVpSbkXyqRrR4i3c7g3rRpE2bPni01nS3sNbGrf96yHLlYmrz6kuW27iuWaxB/F+e2nF/M7J45cyZGjRrVgEdFRFQ34udRSEjIVcdIH9eH9eu7fjmuj9YfA9q3SKQAAQAASURBVPOZz3zmK3kO5lsLDAvHuOdfxbKXn0XWqRMQSX5eXrhuzN3oM+LOBudr/fown/laypfjHMxnPvOZr1S+q84h7j/471Pw+fTHUWk0Ss+DrD5f5eNLZ06i0myGRz33JNb614D52swXM7jtyTpdiJAof02/3kf65FFZ32nOMhIzpkVj27L0eE0li8Z17969pSXFxYxuy/Li4hYa6thyb3l5eVLTW5xHNL3Fnzt27Kh12XPLN7A4t2h0T5w48apvcnJPmZmZiImJsTqWkZGB6Gjn7KtHRERERETKM1aY4OWt/6UoSwrysfzl55BxIg3XjbkL14+9R+mSiNwSX2sgInejlp97f65ejq1ffVLj50RDu9/d9yPhtlFs+JHmmM2VWPSvLTCWW+8vX1XvW1qj74g2UJJafhaQuqh6BvfKlSulprFlhnXVxrZoXCcmJkpLh4uZ1LGxsQ0+n2iEi1ttWSkpKVf2+hZ/WuoR9U2bNk26iaXSZ82axUY3ERERERGRjhVkl2LNO7vRfVALdO3XDHrmHxyCsc+9gsPbfkGPITcrXQ4REZHTiAlPSUlJNscMHTrU4QlUpE99br8TZ48cRPrOP62OB4ZH4LZ/TUfzjl0Uq42oIQwGD0Q2C8LF4/m1jsk6XSBrTUSabnDv3r1bamyLmdNVm9qikS0ayKKx7YyGdl3Fx8dLt6lTp0p/37hxI5YuXYpFixZdGbNgwQIsWbJEmnXOpcuJiIiIyF2IlZC++cb2vnMTJkyQtgoi0rqsM4VY++5uFOWV45evjyAgxAdteup79oBfUBB6Dr1F6TKIiIicqqysDAcPHrQ5pn///rLVQ+okZmnf/MiT+GLGP5GXcVE61qJLd9z6+FRpSxciLYtqEWy7wX2mUNZ6iBxVvw0hXGjGjBlISEi40twWy3+LmdFpaWlITk6WGt9KNLdrMnjwYKmhbTabpUa3aMCLmnNycjBmzBgMHz4cJ0+eVLpMIiIiIiKXMxqN0rJhtm5iDJHWnTmcjVVzd0rNbUG8Jztp8QFcSM9TujQiIiIicuGb/W5/Yga8vH3Qd9Q4jHn2JTa3SReimtveh7swpwwlhZd/9yFSE9U0uE+cOIE+ffpgzpw5UpNYLPsimsdiJohY8lstTe3aiIa2aMCLm2h8i8cglrcRS6kvXrxY6fKIiIiIiIiogY7uuIA17+5BeanJ6ripwoy17+9BzoUixWojIiIiItdq1KYt/v7OQtw44T4YDJ5Kl0PkFFEtam5we3kb0Cg2BF1uagpTxV8rLROphSqWKN+0aRPGjh0rzXwWM7Znz54tzdTWIjGLW+zRLWagi8cg9u2eNGkSdu7ciQ8++EDp8oiIiIiIiKiOxBuYd68/jW0rU2sdU1ZklJrfo6clIDDUF2qUe+E8Sgry0aRdB6VLISIiItKk4IgopUsgciqxB7fYcimyWaC0XLloeEc1D0ZYjD8MnqqZI0ukvga32Kta7KstXjAQs6DFftZi9rbWiUa3aGovXLgQDz/8sDQbPT09HevWrVO6NCLSOLEtQl6e9RKY4uemwcAnHHq4Pqxf3/XLcX20/hiYr/988aZWV+Zr/fowX9lz1JQfEhyCbSvTsHfTGbv3L7hUirXv7cGop3rBx89LVV8DsV/k0pdmorSwEHc+8wKad+rq1HxnYD7zma+/n6HMZ77a851Fr9dHK/lynIP5zNdrvrePJx6Yc6PL8ol02eCeO3cupk+fLn0jiMb26NGjoTdi9nZiYqI0Q10sWX7NNdfgzz//VLosItK4kpISq7/r4Y1BzqT168P69V2/HNdH64+B+cxnPvOVPEfVfGOFCb8vOY3ju7Mcvr9Yys9srFTV1yA/KxPLXpqJgqxM6diK117AqGkvoGXX7k7JdybmM5/5rsuX4xzMZz7zma9UvhznYD7zme+6fKK6Mig5c3vatGnS3tpiprMem9sWYh9u8RjFkuVij27R5CYiIiIiIiL1Ki2uwPrFB5GWkuHwfWJ7RGHEv+LhF+QNtSjMviQ1t8UMbgtjWRlWzXoRJ/bsUrQ2IiIiIiIiIs00uDdu3CjNbLYs4y2a3O5ALFM+a9Ysqck9YcIEpcshIiIiIiKiGhTmlGLd/H24cNx6GT5buvZrhuGTu0lL/KlFcV4ulr38rLT3dnXGinJ8+/pLSE/ZoUhtRERERO5EbNFaUV6mdBlERLqhyBLlYs9tsWy3WLLb3YhZ62JG97hx46Qm/6BBg5QuiYg0xsPDA8HBwVcdI31cH9av7/rluD5afwzM125+YGAg+vfvb3NMUFCQ9MJOffK1fn2Yr41ziKzyAg9s/DANJXmAn3cAPGA/v+/INkgY3spuLXJ+DYrz87D+gzdRdPF8recwVVRg9euv4PYnnkHbPtfWKb/qMWdhPvOZr/2focxnPvOZ78z8gIAAvPDCC1cdc+Y5HNWQ/PLSEiQteBdlxUW4c/oL8Khh32I118985mv99T7SJ4/K6q8wySAlJQXx8fFwZ8ePH0dERAT3KdCpzMxMxMTEWB3LyMhAdHS0YjUREREREZFtZ4/k4Id5e1FeanJovMHggYH3dkTH65pATUoKC7DsvzORefK4Q+Nb90zAnc+8yBepiFSOrzUQOZ/4Hpo3b57NMVOmTLnqe4/IUZfOnMJ3b7yK7HNnpL9fP+4eXDf6LqXLItIUPgci1czgdvfmtuAuy7ITERERERFpgdhrO2nxAZiNjr0H3MvXEzdP6oqWXSKhJqVFhVjxynMON7ebd+6KEU/OYHObiIiIyMkO/fozkha+C2PZX0uTb1v2FZq264RW3XsqWhsRkdYpsgc3ERERERERkVqc2JeFpEWON7f9Q3ww6sl41TW3y4qLsfLVF3AxPdWh8U07dMao6S/A29fP5bURERERuQtjRQU2LJ6HH96da9XcllRW4vt35qDgUpZS5RER6QIb3EREREREROS2zhzJwbqF+2E2O9bcDo3xx+ipCYhpFQI1EXs7rpz1Is6nHnFofOO27aVlyX38/F1eGxEREZG7EI3rJS9Mw56k72sdU1KQjzVvzYLJaJS1NiIiPWGDm4iIiIiIiNzShfQ8fP/BXpgqzA6NbxQbgtHTEhAa7a+6PbeXv/Qszh056ND4mNg4jJ7xX/gGBLi8NiIiIiJ34uXjg6K8XLvjzh89jF++/FiWmoiI9IgNbiIiIiIiInI7macLsObdPTCWmRwa37p7FEY+EQ//IB+oSUG2mCU03eGZ29EtW2PMv1+CX1CQy2sjIiIicjf+wSG4/YlnYPD0sjt21w+rcfSPX2Wpi4hIb+z/lCUiIlWprKxEXl6e1bHQ0FB4eHgoVpOaaP36sH591y/H9dH6Y2A+85nPfDnOkX2+CGve2Y3yEuNV+SXlRVbH/H0C0aVfM/Sf0B4GT4OqrlHO+bNY/srzyM+8eCW/tML6Mfl5e13Jj2zeEmOee0V64VUN9TOf+cyXL1+OczCf+VrMdxa9Xh+l87Ozs3HTTTdZHdu6dSsiIiKcdg5H1SW/SdsOGPi3idj40Ty7uT/NfxtRLWMR3qSpaupnPvOrKy8z4vjhsygrNKJll0in5xPVh+4a3Lt370ZYWBhat26tdClERC4hnrAUFxdbHQsJCeETCp1cH9av7/rluD5afwzMZz7zme/qc+RlluC7t1JQUlBxdT4qUW4stTp248jOuHZknFMehzOvUcaJdKx49XkUV1kCU+wiXm6ynpHuKxrcAMKbNsfY515BQEio2/4bYj7z3TlfjnMwn/lazHcWvV4fpfNNJhMOHjx41TFnnsNRdc3vMfQWnD1yEId/22Izt7ykBGvefBUTXnpdVfUz333zi/PLkXWmAFmnC5F1ugBZZwqRfaEQeUXZ8A/2wYRnr3F6/URu3eBeuXIlJk6ciNzcy7/cx8XFYf369WjVqpXSpREREREREZEKFOaUYvVbKSjKK3dofLcBzXDN7bGqe+HmzKH9+HbOSygrtp5tXpuwxk0w7rlXEBgW7vLaiIiIiAjS88chkx6T3pSYffa0zbFZp09iw4cfoOedd6nueSe5lyN/nMeGTw5ddbxSvJMWQElBOYrzyxAQ4it/cUR63IM7JSUFY8aMQU5OjvROFXFLTU1FQkJCnbOOHz+OPn36YPz48Vi1apVL6iUiIiIiIiJ5iZkIq9/ajYJL1jO0a9PpusZIGN5adS8ypu/agRWvPO9wczskuhHGPvcqgiIuLyVIRERERPLw8fPHiCdnwtvXz+7Yg1s349CvP8tSF1FtwpsEOrTdE5Ea6GIG9/Tp06UG965du6QGtSCa3KLhLWZ233nnnQ5nxcbGYtCgQVixYgWWLVsmvZgxduxYzJgxAz169HDhoyAicoz4uRQUFHTVMdLH9WH9+q5fjuuj9cfAfOYzn/muOEdpUQW+e3s3ci8W286HB3y9/dH+mkboP6EDPAweqrpGh7Zuxrp5b8Fcy9KcIsnXy/PK3yOatsBdL76GkKjoBlStn39DzGe+O+fLcQ7mM5/5zFcqX45z1Dc/snkLDJ38D3z/zuu28wEkr/warTt2RkxsnMP5Wr8+zFdXfkTTQOl3oEpzZY2/Jwkl2ZXSubT0eh/pk0el6ARrXNu2bfHMM89IDW3R7K76jbVgwQI89NBD9crNy8vDkiVLsHz5cmzYsEFa9lyc58EHH3Ri9aRHmZmZiImJsTqWkZGB6GjnvLBERERERESO27v5NLYuOebQ2LheMRj6UBcYDOp6wSZl3Rps+niBw+Mbt22PO595Ef7BzttflIiUxdcaiJxPfA/NmzfP5pgpU6Zc9b1H8tDTz72NH83D7p++tzsuNKYR/u+1t+FXrVlJJJev/7sd2edqn6XdtncMhj3UVdaa9PSzgJxHF0uUp6enIyIiAlOnTsXo0aOvLFMeGhqKcePG1TtX3H/SpElISkqSljwXM8HFPt/Dhw9Hfn6+Ux8DERERERERuUa3Ac3R+9bWdse16haJIX/vrKrmtvjddtuyr+rU3G7ZtQfGPvcKm9tEREREKtH/3oekNyDak5dxET9+8CYqzWZZ6iKqLrpFsM3PZ50ulK0WIt0vUd6rVy/s2LFDakCLZcXFMuWi6T148GCnnaNNmzaYPXs2Jk+ejCFDhiAxMRF//vmn0/KJiIiIiLRMrKa0evVqm2NGjhyJ8PBw2WoishCrfPW9vQ28fTzx+6q0Gsc06xCO4RO7wtNLPe8DFy9sbv50kTR721Ht+l6PW/4xFV7e3i6tjYiIiIgcJ56b3f6vZ/D5M/9EaWGBzbHpO//EjjUrcc3IMbLVR2QR1SIIR7bX/vncjGKUlxrh46eL9iJpmHp+c2+A3r17S/tvV91H25nN7eqN7p07d0ozut944w2XnIOIiIiISGsqKipw8uRJmzcxhkhJvYa1Qr8JV8+cadwmBLdM6QYvn7/2r1aayWjEjx/8r07N7W6DhuK2f01nc5uIiIhIhUKiY3DLP54W7760O/bXrz/D6QN7ZamLqKqo5naWx6+EzSXMieSiiwa3WEZc7JG9Z88eWc4XFhYmLVX+zTffyHI+IiIiIiIict5y5YP/1unK64pihsJtj/VQ3QyEn+a/jUNbNzs8vs/IMRgy6R8wGNTTpCciIiIia7E9E3DtnePtjqusNGPt23OQl3FBlrqILKKa216iXMg6bXsVAiI5GPSyRLlYnnz69OmynfOaa66xmjVORERERERE2tDxuiYY+lBXRDYPwojHe8I3QH0znnsk3gwvH1+Hxva75wH0u/t+aSl2IiIiIlK368bchZbdetodV5yXi+UvP4ei3BxZ6iIS/IK8ERRu+/eQzDPch5uUp663qDeA2B+7bdu20rLhTz31VL1z8vPzkZ2djYiICISEhNQ6bsmSJVJjnYhIbpWVldLPqqrEzyu+oKmP68P69V2/HNdH64+B+frPz8vLc2m+1q8P8+U7R9uEGLTpGQWDp0GV16hZx84Y8eQMfPv6SzCbTDXmeXgYMGTSY9LS5Gqrn/nMZ7668uU4B/OZr8V8Z9Hr9dFKvhzncGa+WHHn1sen4vPpj6Mw+9KV/NIKo9U4P28v5F48jxWvPo9xL7wGv8AgVdTPfP3nR7UIRmFOmVV+aflfy5KfOnoelZUdNPN6H+mTbhrcYm/spUuXYvz48dLHo0aNqtP9Z8yYgYULFyI3N9dqKfLExEQpLy4uTjomPi+a22L2tlganYhIbuIJRVGR9T4nwcHBfEKhk+vD+vVdvxzXR+uPgfnMZz7z5TxH1ea2K/Krq2t+bHxvDH/0Sfzw7lxxZ6vPeXp54dbHp6Fd3+tVWz/zmc989eTLcQ7mM1+L+c6i1+ujlXw5zuHs/ICQUNz2r2ew9D/PSG9mFM/0yqu9qdHX2wsiPfPkcXw75yWM/vd/4e3gCj+urp/5+s4X2zid2Jv1Vz4qUWYsvfL386fKYTKa4OWtmxYjaZCu/vWNGTMGr732mvSn2JN74MCBdu8jZpCIJrZoWIsfAlXl5ORg+fLlV91HjBM/GORcEp2IiIiIiIjcT6cb+qOssBAbP5p35Zi3rx9GTn0WrRxY2pKIiIiI1KlZh07od8/f8fNni+yOPXv4ANa+NRsjn/o3DJ6estRH7ivazj7cJqMZuRdLHNqvm8hVdLEHd1XTpk3D008/LTWtN2/ebHf82LFjsXPnzitN6+q36ixNcDFbvHXr1i55DEREREREREQWPYfdiuvH3SN97BccgrHPv8LmNhEREZEO9LplBDpcd5NDY9N3/omkBe+g0mx2eV3k3sQMbnuyzhTIUguRW8zgrrofd2RkpNTkFjOwa1uufMWKFdJMb0sju/oM7pqIfbcXLVqE+Ph4p9dNROQI8TMrMDDwqmOkj+vD+vVdvxzXR+uPgfnazff390fv3r1tjgkICLjqObda6me++vNrOsexHRdweFMeBtzdEQaDh66v0bV3TpD+bN/3BkQ2b+n0fEcwn/nM126+HOdgPvOZz3xn5/v5+eGRRx656pgzz+EoV+WLjOGPPIHC3Gyk7tlt/bkaxh/YshF+QUHof+9DdTq/Vq8P85XJD470g4+/F8pLLu8L7wEP+HpZf+9lnbFeEp1Ibh6VjnR1XWzYsGHSftd9+vSRlhd31sxosaf2lClTpD8ffPDBqz4vXoATS5ML4vyicS2a4qGhoTh+/DjS09OvfF40tsVe3LGxsU6pjfQtMzMTMTExVscyMjIQHR2tWE1ERERERHqStisDPy3aL21N3a5PIwy+vxM8q+2pTUSkJ3ytgcj5xPfQvHl/bQNSE/H6cvXvPSJnKysuxtL/zkDG8TS7Yw2eXrhvzju1vumRyBlWvbEL547l1vr55h3DMfJf8kwE5XMgUu0M7vXr10vvJhGzrcW+1qLZLBrNQ4YMkf6sb8N70qRJiIiIwLhx45Cbm4unnnrqyudSUlKk5rU4r5iNvXHjRqmxbSEa2eI2ePBgpzxGIiIiIiIico6T+y8hafEBqbktHNtxEcZyE4Y91BWe3mxyExEREZG2+AYEYPSM/+CbF6Yh5/y5Wsd5+fpi5JMz2dwmWZYpt9XgzjpTeGXrXyIlqOI3fzEzWnwjWG45OTlSs3vy5MmIi4uTlhsfP348PvzwQ5w4caJO2WJGeFJSEqZOnYo33njjynGxNLkgmunJyclWzW0iIiIiIiJSp7NHc/Djgn0wm6wXIzu+Jwvfz9uLinIT1Er8vltaWKh0GURERESkQgGhYRjz75cRFBFZ4+f9AoMw9tlX0Lpnguy1kfuJah5s8/OlhRUoyi2XrR4iVTa4RZNZEO/0sNyE2hre7dq1k5aGWblyJfLz8+3mi1nglib34sWLrWaNz5gxw8WPjoiIiIiIiJzhwvE8fP/+XpgqzDV+/vTBbKx5ZzfK/v9ecWpiMlZgy+eL8fkz/0RBdpbS5RARERGRCoVEx2D0zP9KzeyqgsIjMP4/s9G0fUfFaiP3m8FtT9bpAllqIVL1DG6LqjO5a2t4p6WlSftqjx07FuHh4Q41vEWTe/78+dKy5bt375ZmbQtPP/20TI+SiIiIiIiI6ivzVAHWvrsHFWW2Z2ifT83Dd2+lwGSsuQkut0qzGYd/24KPn5yCnd9/i/zMi1jxyvMoKeSLQURERER0tagWrTDqmRel5ciF8CZNMeG/r0vHieQS0SQQBk/by49nneHvNOTme3CLfbItFixYIP19yZIl0jLiYu9si6pr+YtGt4VoeKenp0tNb0vDXCxNLvbwHjRo0JVxorktZm6LfbXz8vKkpjcRERERERGp26Ft57Hl6yO1ztyurl2fRvD0Uv793Kf278EvX36Mi+mpVscvnTmFVbNelJaY9PbzU6w+IiIiIlInMVNb7LW9bflXuGPqc9Ly5URyEr9PRTQNRNbp2rdYsvU5IrdocFuWKBeN6YkTJ0ofjx49Wvrz+PHj2LVrl9SYFg1v0ch2pOE9Z84c6Sb06tVLamYPHTpUOiaWORf3FceJiLRG/LwrKLB+d1xwcLDVz0R3pvXrw/r1Xb8c10frj4H5zGc+86syVpiwdckxHPz13JVzlFYUW43x8w6wOsc1t8eiZ2JLRR9D5qkT2Prlxzi+e+dV+WXGy8unHz+4H1+/8jzueu5lePv4wF2/xsxnPvPlyZfjHMxnvhbznUWv10fpfDH57Y477rA69u23317pJzjjHI5SIr9Vj15o1T0eHoaGv3FTj9eH+a7Pj2oeJDWxa/s9LPMMG9zk5g1u0XCuvlS5RWxsrHSzNLzFzGvR6K5Lw3vnzp1Sk9zS8LaIjIx0yeMhInIl8fOtsND6yUNQUJBmGoiupvXrw/r1Xb8c10frj4H5zGc+8y3ys0qwbuF+aWnyK+dAJcoqSqzG+Xr7wwOXzxE/pCV639K6XudzxmPIz8rEtqVf4MAvm0TY1fkAyox/LbGeumcXfnh3Lm5/YjoMBs961+2s+pnPfObrN1+OczCf+VrMdxa9Xh+l8ysqKrBly5arjjnzHI5SKt/ghOa2nq8P812bH9VcvBHoQq2/h+VnlqCsxAhff1W0GsnNGNS0RHlN77yqLjQ0VGp2i/20U1NTkZOTg2XLlknLj4tGuGWfbqHqHt7V9/YWpk+fDk9PT/Tp08fuHt5EREREREQkjxP7srD01R1WzW17uvZrhuvuvLxal9xKiwqlpcg/+tckHNiyscbmdm2Obv8Nmz+5vN0WERERERGRWkS1sP9GoJwLRbLUQlSdKt5WIZYPF7O3RaO5riwN77rO8BYsjXDLDO+qe3iLmhISEqQ/W7eu/wwAIiIiIiIicozZXIkda48j+YcTdbpfh76N0W9Ce9mb28bycuz+aS22r1oqNbnrw8vHF23i6/67MBERERERkSuJJcqr7skd1igAkU0Dpb25O3Zvg+iWIfDxU0WbkdyQKv7liSa1mI3trKz6NLyr7+FddZyYWS4a3UOGDEHv3r3Rs2dPp9RKRFQf4mdXQEDAVcdIH9eH9eu7fjmuj9YfA/OZz3z3zS8pLMf6xQdw+lBO7eeAB3y8/KyOte3VCIPu6wgPg4dsj6HSbMah37bgtyWfIz8zw/F8AD6efy1FHtqoEcY89W80adehgZVr42vMfOYzX7l8Oc7BfOYzn/lK5ctxDq3lF+fnIeXH73Dd2LulrXC0Vj/z1ZHvG+CNYRO7IqyRPzz8K+DpabDqxWnpNT/SH4/Kqp1dN1Cfhnf1z4mG9+TJk/Hqq6/KVDVpTWZmJmJiYqyOZWRkIDo6WrGaiIiIiIjU6sLxPPy0cD8Kc8rqdL9ew1uh74g2MDihue2oE3tTpOXIM0/89btkXfkHh+Da0RPQY8jN8PTydmp9RKRffK2ByPnE99C8efNsjhFbW1b/3iN58Ode/eRnZWLFK88h+9wZdBs8DEMmPsZGJGkafxaQamdwy8kZS5qLfb9nz54tLWu+bt06mR8BERERERGRPojfsfZvOYtflx2D2eT4e699/L2Q+EBnxHaPglwuHk/D1q8+wcm9KfXOEMuRJ9w6En1GjIZvQKBT6yMiIiIiunT2NFa88jwKLmVKf9+38ScEhITixgn3KV0aEZFTuV2DuyEN76pNb/FCjBhDRERERESXn0cnJSXZHDN06FDp+TeRUFFmws9fHsbRPy/W6X5RLYIwfFJXhEZbL8HnKnkZF6WlyA/9+nO9Mzw8DOg6MFFaIjI4Qr6mPBERERG5jwtpx7DytRdQUpBvdXz7qqXwCwpG79tGKVYbEZGzuX2Duy4N7+TkZGnWtsXgwYMVrJSIiIiISD3Kyspw8OBBm2P69+8vWz2kbrkXi/Hjgn3IPldUp/t1vL4J+k9oDy+fv/axdhXxwqB4MXD3T2thMhrrndMm4Rr0u/t+RDZv6dT6iIiIiIgsTu3fg29ffxkVpSU1fn7L54ulbXK69GdPg4j0gQ3uejS8RaNbYIObiIiIiIiobtJ2ZWDjZ4dQUWpy+D6eXgb0u6s9Ot/QFK5WUV6GlB/X4M9vl6GsuG4N+KqatO2Afv/3AJp36urU+oiIiIiIqkpN3o61/3vN7psyf5r/NvyCghCX0Fe22oiIXIUN7no0vNnYJiIiIiIiqhuTyYw/VqVh94bTdbpfcKQfbp7cDdEtg+FKYhuqw9t+wS9ffozCS1n1zglv0hQ33vU3tLvm+itbXBERERERuUpIVDS8fHztNrgrzWas/d9sjJ75XzTvzDdhEpG2scFNRKQx4sXXwsJCq2NBQUF8AVUn14f167t+Oa6P1h8D8/WfX1BQ4NJ8rV8fveYX5ZXhp0X7cT41r06ZrbpFIvH+zvAL9LZ7joYwm0zYsPgD7N2wDmVG65nlvl6eDuUHhIbhutF3odvgYfD08nK7rzHzmc98defLcQ7mM1+L+c6i1+ujlXw5zqHm/JjWbXDHtOew4pXnYaworzVfep5bYcTXrzyH0TP+g9gu3VRRP/OZT1QfbHATEWlMTc2BwMBAPqHQyfVh/fquX47ro/XHwHzmM1+f+esXH6hTc1uUdM2INkgY1goeBg+XPwZjeRkupB5FpdhPvtrMFx/R4LZxX29fP/S+fRR63zYKPv4Bbvs1Zj7zma/ufDnOwXzmazHfWfR6fbSSL8c51J4vtsW57YnpWD33FWmm9lX5VZ7nlhUUYMlrL2LS6+8gsmlzVdTPfPfOJ6oPQ73uRUREREREROSgmya0h5ePY79++gV54/bHe6L3za2tmtuuJBrTo6a/gKCISIfv42EwoMeQm/HgO4tw/dh77Da3iYiIiIhcSeytPezhfzo0tqQgH189+zQObt0sNS+JiLSGDW4iIiIiIiJyqcimQRh4b0e74xrFhmDczD5o0SkCcguOjMKd01+Aj5+f3bFif+373/gAiQ89isCwcFnqIyIiIiKyp0v/wRhw30SHxpYWFuDH997At3P+i4LsLJfXRkTkTFyinIhIg/z9/ZUuQdW0fn1Yv77rl+P6aP0xMF+b+b6+vujcubPdMa6m1uvDfKB9n8a4kJ6PfZvP1Pj5bgOb44bRbeHpZVDsMUS3isXt/3gaa96ahUrz1TNZmnbojH73PIBmHTrV+xx6/hozn/nMV3e+HOdgPvO1lu/M57B6vD5K5/v4+GDMmDFXHXPmOepCK/kJt45ESUEetq9aanXc29OzxvHpu3bgkycfwYD7HkLXgUPqvey0Vq4P89WZT1RXHpUKrD8xd+5cTJo0CSEhIXBXH374IRITE9G6dWulSyEXyMzMRExMjNWxjIwMREdHK1YTEREREZHSTEYzVr2xCxeP5185JpYuF7O7RQNcLfZtTkLS/Heu/D2iaXPcdPf9iOvdl/vMEZFi+FoDERE5SrR9Nix6H3s3rqvT/Vp264mhk/6B0JhGLquNqK74HIhUs0T5N998g969e1+1Kb27eOaZZzB58mSlyyAiIiIiIqo3s8lc5/uI2dnDJ3WV9tkWwhoFYMwzvVXV3Ba6DRyKa0dPgG9gIIZMfAx/m/s+2va5ls1tIiIiItIE8bx18ENT0L7vDXW636l9u/Hp048i5ae1qDTX/fk+EZGuZ3Cnp6cjISEBnp6e2LhxI3r06AF3MW7cOKxYsQKzZs3C1KlTlS6HXITvKCIiIiIiPcrPKsGpg9k4deASzhzJwT0vXovAsLovPX/6cDYO/noOA+/pCB9/de6cJX5VLriUhZAoPocnInXgaw1ERFRXxooKrJr9H6lxXVfNO3XF0IcfR3jjpi6pjchRfA5EqmlwC7t27ZJmcRsMBqxfvx4DBw6EnuXn52Pw4MHS4544cSLmz5+vdEnkQvyBS0RERER6UFFuwrmjuVJDWzS2cy8WW31+0H2d0On6JorVR0TkTvhaAxER1UdFWSmSFryLw79tqfN9vXx8ccP4/0OvW0bAYKh5D29ynZP7dqM4Lxdevr7w9vWDt48vvP38pK+Lt58vvH38pD89vS6vkKVXfA5ENVHsrfK9evVCcnKy1OQWe1GLJbs/+OAD6NGmTZswduxY5OTkSHuPs7lNRERERERqJN7/nHO+GKcOXm5oi+a22De7NmKcmhvc4sU88UIQEREREZG7Es+Hb318Ktpdcx02fjRfapg6ylhehi2fL8bRP37FsIf/hcjmLVxaK1nb+f23OJ6SbHecwdPz/ze9/RAQGoYWnbsh4daRCImybgoT6Ykie3BXb3KHhIRgwYIFaN++PTZv3gw9mTJlCoYMGSI1t6dNm8bmNhERERERqUpZiRFpKRnY/MVhfDZzG77+73b8tjwVpw9m22xuC2KM2azIomB2XUxPxUf/mozU5O1Kl0JEREREpLj2196Iv819H51uHFDn+54/dgSfT/8Htq9aCrPJ5JL69Pjm4UNbN8NYXl7vDPGGXUeIr0l5STGKcrKReSIdu35YjS+e+RcupB6t97mJ1E6xJcqr78ktmsDHjx+Hh4eHNNtZ7FHdunVraNXcuXPx2muvITc3V/pBtnDhQjz00ENKl0Uy4ZIZ5EriZ0pRUZHVscDAQOnnJ2n/+rB+fdcvx/XR+mNgPvOZ7/r8SnMlss4U4PShHGSml+Di8QLpWH2NnpaAxm1CVfUzLn3XDqx9a7b0gpCYyTD+hdfQuG17p+W7un7mM5/5zK8pv6GvNajhMTCf+cxnfl3y8/LyrnpN/cMPP0RoaKjTzuEoveWnp+zAti8+QlFuTp2zYmLjcNs/pyG8SbNa87V+fRqaX1FaiqSFl5eF7zpwKIZO/ke98r+c+QQupB1zqP5yo/UbD3y8PNE4rj3uefXNBl8npV/vY7+FVLVEeVVt2rRBWlqatEz5okWLsGzZMummxUa3+A92+vTpVxrb4rGJxxIfH690aUSkE+JnS35+vtWxgIAAzTQQXU3r14f167t+Oa6P1h8D85nPfNflGytM+P37Q9i75SxKCy7PIggJiIDBo2ELe4n9uS0NbjX8jNud9AM2fTQflZXmK8sqrprzX9z98lyExjRucL6r62c+85nPfFfky3EO5jOf+cx3dn55eTmWL19uday2bU7V+hjUmh8V1wH3zX0fW7/8BPs3J9UpKz8zAz7+ATbztX59GpKffe4s1rz5KrJOn5T+Lq6veLNtdOfudc6vKCtzrH4ApUaj1TFvL09cTD+Gs4cPoHmnrnV+HHp6vY/0SdElyqsTy5QnJSVJDW3xDSMaw3FxcRg2bBhWrVoFtdq9e7e0FLmnp6fUpBfLkYv6xcepqalsbhMRERERkaKK88uxfHYy/lx7/Epz21nEXt1qUGk2Y8sXH2Hj4g+uNLctxD6DK197ESWFBYrVR0RERESkJn6BQRj28OMYPfO/CI5yfCbsoPsnITAs3KW1adWxP7dJs64tzW2LjR/PR+bJ4y5botyWk3tTGpxBpEaqanALiYmJ0mxuMXNbNInFbcOGDRgzZozUQBaN5JUrV171bhElmtozZsxAu3btkJCQIC1BbqlXzNreuXMn5s2bp2iNREREREREBdmlWPXGLmSdKXRJfsaJfJQWVUBJYl+7te+8juQ1K2sdk33uDL6b+wqMFcrWSkRERESkJq179ML9c99Hj6G32h3bJuEadKzHHt56J/bA/uWrT/DdG69Ke2FXZ6qoQNLC91BSVLffyRydwW3LCTa4SadUsUR5TaZNmyYtUS7+XLFixZXjopEsbkKvXr2khnifPn2kj121lLlopicnJ2PXrl3YsWPHVcuiWLYxDwsLk5ZYHz16tEvqICKy8PPzU7oEVdP69WH9+q5fjuuj9cfAfOYz33lyLxZj9VspKMy5/MKIt6ePU3K9fT3RvGM4WnaJRMvOEfAL9IbZbFbkZ1xJQb60BODZwwft3vfMof34ad5buOWxp+BhMOjia8x85jOf+Wo6B/OZz3zmK5Uvxzn0nC+WHE98cAo6XHsDflrwDvIuXrhqjG9AIBIfeqTWZan1fH1sEatFrX17Dk4f2GtzXGnOJWz97EPc/s9ptf4u0pAZ3N61ZF5MS5VWsvIPCoY7v95H+uNRaenOqlheXh5effVVqXks9ra2qOkHqWh0ixnU4iaWN4+IiJA+tjSgBXFMyM6+vJSeJVP8PT09XZpBLo6Jj0Vju+o5heqXTJxTzOZmY5ssMjMzERMTY3UsIyMD0dGOL/VCRERERNQQWWcK8N3bu1FS4JwZy1EtgqRmdsvOkWgcFwpPL+UXBMu9cB4rZ72InPNnHb5P+7434OZ/PA0vb2+X1kZE5Gx8rYGI3A1/7imjorQUvy39HDt/+E40Q64cH/rw4+g2cKiitanNuaOHsOZ/s1CYfcnh+1w35i5cP/Yeu+NEH+q9B8ahvLTU6utQH7c/8QzaX3sjtIo/C0hTM7irCg0NxezZs6WbZQa3mE1taTSLRrflY3Fc3JylpnNYmuWTJk2S9tmOjY112vmIiIiIiIga6nxaHr5/fw/Kio31zvAN9ELLThHSLO0WnSMQGOoLNTl39DC+ff0llOTnOXyf3rffiX533+/wjAkiIiIiInfj7eeHAfdNlBqiP817W9rqp1X3eHQdMETp0lRD9Ip2/7QWP3+2GGaT479z+QeHoFnHLg6NFT2pf3yyTDqXWOJczOYWS5aLP43//0/xd7Ek+vfvvI5Ks7nWrJN7d2u6wU2k2QZ3VaKpLG5iVvfSpUuxfv16qyXDqzakq/7dUbXdT/zdsiT6kCFDMHjwYCc8GiIiIiIifSgoKMAvv/xic0y/fv0QHNywZdHIvtMHs/HD/L0wltf+AkdNxK9CjWJDrjS0Y1qFwGCoeflBpR37cxt+eGcujBXlDo338DBg4AOTED/sNpfXRkRERNohZgDOmzfP5pgpU6ZcNXOQyB00bd8J985+B3+sXILug4fVujS5LXkZF/DDe2+i800DpAaraPDqYYb7+kXv4dCvP9fpfk3adsBtTzyDkKi6zToW193Lx0e6+dfy6/SuH9fg3JGDNvfhFj2u+nwNidRKcw3uqrO6J06cKN2ElJQUbNiwQVpeXCwrLpYXr760uCMsjW3LMueiqc2GNhERERGRbSUlJdLzcFv69OnDBreLpadk4qfF+2E2OvZGX/8QH7Tqenkf7RadLu+lrXY7v1+Nnz//0OFl+rx8fXHbP6chLqGvy2sjIiIiItIT0VS9ccK99b7/oV+3SI1Xcdv08ULExieg040D0SahD7x91LVClCPE1kjfvfEqsk6frNP9egy9FQPue8hl2yS16tbTZoM7P/Mici+eR3jjpi45P5ESNNvgri4+Pl66VSVmeYtGt9hbu+o+21Ub32Kpccue3JamtmieExERERERacnhP85j06eHHN6erUlcKG59tDt8A9Tf1BZMRiO2fLEYKT+ucfg+AaFhGDX9BTSOa+fS2oiIiIiI6OrJhIe2br7yd7GUd1rydunm4++Pdn1vQKcbB6BFl24wGDyhdsd2/I517/9PWhLcUV4+vhgy8VF07jfIpbW17hGP35d/ZXPMyT0pbHCTruimwV0T0aiu3vQmIiIiIiLSIx8/r8vrjDvQ4RZLkN88uRu8fdX/QpJlz7hNnyxA9tnTDt8nolkL3PnMiwiNaeTS2oiIiIiI6GoZx9Ok/btrUl5SggM/b5BuQeER6HjjAKnZHd0qVnXLaJtNJvy65HPsWP3XVrmOCGvUBCOemik9JldrHNcevgGBKCsuqnXMyX0p6DnsVpfXQiQXXTe4iYj0+u7H4mLrdwoGBASo7smfUrR+fVi/vuuX4/po/TEwX//5RUVFmq5fzfltekZj8N86YcPHB2vNLzeWok2PKAy4L0762MtHPfXXtmffz58tRuqO36+co9xkshrj4+l51Tmad+6KkU89C7+gIMUfA/OZz3zmqyFfjnMwn/lazHcWvV4freTLcQ7m1z3/4NZNDt23MCcbyWtWSrfI5i3R6aaB6HRjf4RExShav8gvyc/D9+/Mwan9e+uUF9e7L4Y/8gT8AoNkqd/DYEB0u45I27m91t+TxGMQzXqDp6fbvd5H+sQGNxGRxognFGILhqr8/f35hEIn14f167t+Oa6P1h8D85nP/Ibld+jbGOUlRvzyzdGr81GJZt0C0XtUMxQWF9QrX67rU1FWij9Xr0DydytgrCj/6xwASiuMVmO9xQs3Vf7e8Yb+GDblX/Xa304LX2PmM5/5zFfrOZjPfC3mO4ter49W8uU4B/Prlm82m3Dot1/qnHPpzCn8+vWn0q15p67odNMAtO97I3wCAmS/PjmnT+L7t2ejMPuSwzkeHgbcMP7/cM3IMVLT2Va+s+sPj22L0j9+q/X3JLG0+vnUo2jWoZPbvd5H+sQGNxERERERkY50G9AcZSVGbF+dbnW8+8DmaHtjMDwM6n0RQrxwcvSP37Dl88UouJRZ5/v3HTVeekGJL7QQERERESnn7OFDKMrNgaEBz8vPHNov3TZ9NB+teiQgunN3tOzaA14+PnD17yQHtmzAvjUrxfrkDt/PPzgEtz4+Da2694QSmnfqYnfMyb276tXgJlIjNriJiIiIiIh0JmF4K5QXG5Gy/pT09z63/j/2zgO+savK/79X1GXJlnuZ8dieXpLp6b0ACQRIoSxsqEkIsAtbIAu7f5Yt7EJgC+wuJSxl6ZCwCRAIS3pv0zMzmWbPeGbcuyWrvvL/3CvJlmzJ1pNVLM35zufNK37v3POKXrm/e85dgW03tGJgYABLlaHTp/Dk976FM4dfM7wti4649sMfw3nXvCEvvhEEQRAEQRAEkTnxLoZygaooOLHrJex97mlYbHas2LwN7rp6NDW3wOZ08r6nWYS3lY8dsLsrs8rmxIgEg3jmp9/H8ZdfQIXVkrFA37ByNd7yZ5+Bq6YWxcJdWw9XdS0m52ko3H1gHy6+7T0F9Ysg8gUJ3ARBECWIOc8tFUudUj8+5H95+1+I41Pq+0D2S9O+yWRCa2vrguuw1vDn4vEptH0WwXzRzR0IBxVU1tux+drl0DRtSfof8Hnxwi9+jP1/+B10XVtwfTkh1R/DZLXhbX/+GV7RlQuW4jEi+2Sf7JP9UimD7JP9UrPvcrlw6623zrsdWydb+7nkXLTPvh+uuOKKOctyWYYRyH7m9q98zwcwcsFFOPrCMzh9cD8Li160ffYdoIaC6Hw5mob7dbMppQD95k/egzUXXWbItn9iHCd3vYwn/udb0FVtzjfHfJx/3Q248n13LCiq5/v4WywWrNh0Pg4/k77v874TRxHyT/FGAedafR9Rfgh6vmuYCOIcZGhoCHV1dUnLBgcHUVtbvBZcBEEQBEEQxLkH+9xbyum6WdT2L/7+swh6J7PavqqpBW/55D2obW3LuW8EQRBLDaprIAiCIEoR1of1kReewevPPoXBU515L++Wz/yd4cavu3/7EJ76wX8b2kY2W3DdHR/D+suvxlLh2MvP4zf/+s/zrnPTX/41Vu24CKUEvQMRJR/BPTk5mXGLOYIgCIIgCIIgiHOdpSxuMzxNLbC73IYFbha1feHN78TWG96adfpBgiAIgiAIgiDyj9NTje1vfjsfRs6exuvPPcWHyaHBvJTH0pQbRRAlQ+tX1jfiLX/+GdStaMdSYvmG8yEI4ryZsVia8lITuAkiFZnnWSgSX/nKV7Bjxw5IkoSqqio+rq6uxhve8AY8+eSTxXaPIAiCIAiCIAiCyBJJlnHV++80tM36y67CB//tm9j51ltJ3CYIgiAIgiCIEqK6ZTkufdft+PDX/hvv/PwXcd61b4TV4cxpGdmk3w77pzJet33bTrznn/9tyYnbDKvTiYaOVan/KAj8b6yRMUGUA0s2gvuJJ57AbbfdhvHx8Tn99I2NjeGxxx7jQ0dHB770pS/h7W9/e9F8JQiCIAiCIAiCyAfjg3688MsTuOZ962Cxl6eYu+K8LVi54yKcePXFedera+vA1e+/C81r1xfMN4IgCIIgCIIgco8gimhZt5EPV73/LpzatxuvP/skOve8AjUSWZRti91ueJtQwL/gOiwy+pJ3vpc3tGX+L1Vaz9vM+9pmuGrr0HreFv7NtWzj+bA5K4rtHkGUt8D97W9/Gx/5yEeShO3ZqfXifztx4gRuvfVW3HXXXfj6179ecF8JgiAIgiAIgiDywUiPD7/+6j74J8N4+D8P4KZPbIbJYix1Xqlw5e0fwsl9u1JWZtkqXLj03bdj41XXQTSYOpAgCIIgCIIgiKUNy8q0cseFfAj5p3g/0qy/7jOHX2NCUEEiuENTvnn/zr5JbvzTT3PxeKmz5qLLYK+s4qJ2ZUPTku+2iiDKRuB+/PHHuVjNmO+Hl/g3JnZ/61vfwq5du/DKK68UxE+CIAiCIAiCIIh80X9yAg//x36E/Ep0vmsCj3zrNdx493mQTEs3WiBb3HUN2HHTLXjplz+bXsaiIjZffyMuvu09PNUeQRAEQRAEQRDlDROnN111PR+8I8M48vzTPLJ76PSpjLZn3xCyxWK43JA/fQQ3S+vN+tt21dShFKhZvoIPBFHuLCmBe2JigqclTxSwZ6cnT/xb4jxbb/fu3XjjG9+I3//+9wXymCAIovCw+10gEEhaZrPZqDVemRwf8r+8/S/E8Sn1fSD7ZJ/sB9BzbAy/v+8glJAKk2yZtn/m8Cge/e4hXP/hDRAlseyOD0v1d+ipx+EdGcKy9Ztw1QfuQu2sipmlvg9kn+yTfbK/VO0XogyyT/bJPtnPtX2v14u/+qu/Slr2xS9+ERUVFSWzD2Q/e/sV1TW8ESwbBrtP4sBTj6O/8zj8E2MI+wPQwkFEQsGkKG+Lw5lVmcEpH8KKmrTMJEUb3F75vjt4lPm5dvwLaZ8gSl7gvu+++3if23HBmnHttddi69atqK6uxsjICLq6unjf22w9RvwHFN/m0UcfxUc/+lFKV04QRNnC7nXxe2Acq9VKLxRlcnzI//L2vxDHp9T3geyT/XPd/oHnO/HUT45CVTS+zCWbIWDGfufeITz5oyO4+o/XQRAFw/ZHhocxfOYUJgcHoCgKPC4XoGvQVBWqovCxpipz5xUVamy5Fls+ez6iRNDf24tNV1+PDVdcC1GSDB0fk8WKaz/8UURCIay+8JKU25XDOSb7ZJ/sk/1i2C9EGWSf7JN9sp9r+8FgcE49/+c///m0AvdS3Aeynxv7Nctasf66G7D+upllDQ0N/EspHAzw1OYsClsNh7OyH/RPIZDQXZK7pg43fvgjWHvx5blwv+SPf6nX9xHlyZISuP/5n/95Wqhmovb999+Ptra2tNHeP//5z3Hvvfdy0ZsR35alK2eR4FdddVWB94AgCIIgCIIgCMI4vrEQ9j7WjWcfPgJdm7+fuSMv9sNslXHpO1YZqlBgfdg98O9fxsRg//SyCqsFYo4qJTRdhzcYwvGXX8DGKxNqngzQvnVHTnwhCIIgCIIgCKL8YSnJWVrzbPrdTuTWz/49uru6EAkGYLE7Ya90o6mpOWd+EgSRe8Sl1Pd2vAXItm3beH/a6cRthtvtxp133okTJ07wda+55houbsdF7niqc4IgCIIgCIIgiKXKaN8UHv/B6/jh37yAfY+dXlDcTtxOUzJbl7H/0Udw/z/+TZK4nS9Y+sAjLz6b93IIgiAIgiAIgiByARPIXTW1qG5ZDqfHA1GUiu0SQRClEsHNUovH+fa3v21oWxbtzbZn0dysTw4mco+NjeGzn/0s/umf/ikP3hIEQRQX0yL7fSl3Sv34kP/l7X8hjk+p7wPZJ/vngv2+zgns+b9unDownLRcEhf+RGs7v4b3wy2ZFm6vzFKHP/3D72DPI7/mDYGlPKeQi9vf9asHsHrHhef0OSb7ZJ/sk/2lZr8QZZB9sk/2yX6x7BeiDLJP9sk+QSwdBD3e2XWRuf7663nf2h0dHTh+/HjWdvbs2YPt27dzkbuyspL3200QhWZoaAh1dXVJywYHB1FbW1s0nwiCIAiCIIjiwqKzTx0cwd7/6+YCdzasuaABV9++FqK0sLjN+qF7+Kv34tS+3SgG2258K668/Y6ilE0QBFGOUF0DQRDnGnTfIwiCQfcCYklHcLN+tJkofddddy3KDovm/sMf/sAFc5by/Dvf+Q4+9KEP5cxPgiAIgiAIgiAII6iKhmOvDGDvo6cx1jeVtZ1NV7bgMtbvtphZFPbzP/9R0cRtxt7fP4xNV7+Bp/kjCIIgCIJYigSDQXR2ds67DgvIslqtBfOJIAiCIIgSErhHR0f5+Nprr120LWbjlltuwS9/+Ut88YtfJIGbIAiCIAiCIPLM1NQUXn311XnX2bFjBxwOB84VwkEFh57txf7Hz2BqPLQoW9tvWIGdb2njjYIz5ZJ3/jFOH9yPkbOnUQxYevQnvn8fbv3rfzDkN0EQBEEQRKGYnJzEAw88MO86d999NwncBEEQBLHEWDICN4u2jqcVzwWsP24mcLPIcPai4nK5cmKXIAiCIAiCIIjUAvfTTz897zrr168/JwRu/2QY+584g4NP9yAcUBZnTAAufvtKbLneeBS0xW7H2+/5HH782T9HwDuJYjB8+hR8oyOoqK4pSvkEQRAEQRAEQRAEQZQfS0bgjrNixYqc2Glra8M111yDJ554gvftffPNN+fELkEQBEEQBEEQRCrGB/zY+9hpHH2xn6clXyx1rRW45NZVaFqVfSNgd10D3vqXf4P7/+GzUJW5YrvF7oAoSRBlmY8lSZ47L0sQY8ul2PKU87H1JEmCbLbA09yC9m07YTJbFnkkCIIgCIIgCIIgiFyhaSoGuk6ge/9e1HesQtvmbcV2iSBKX+DOJbfddhsef/xxPProoyRwEwRBEARBEASRFwZOTWLv/3Wjc98QoC/e3vINHmy5vhXNqytzktq7ee16XHfnn+D3X/+36WUmqw03/umn0LFt56LtEwRBEARBEARBEEubicF+dB/Yh1MH9uDMwQMITvn48rWXXEECN1GSLCmBO1fpyeO8853vxEc+8hHs2rUrp3YJgiCKia7rCAaDSctYX1DUt2V5HB/yv7z9L8TxKfV9IPvlbz8QCJTV8Xnmx504sWtw0bYFUUDH1lqsv6IONS0VfBkrK1f+b7jiGt4X9wv/+wtU1NbiLX/+WdQua+X7VCrHvxBlkH2yT/bJfrnaL0QZZJ/sl6L9XFGux6dU7BeiDLJP9kvV/r4//A67f/sgxvv7Um7bfWAvdE2DIIpF858gSl7gzjVutxvt7e28f2+CIIhygb1QjI2NJS1raGigF4oyOT7kf3n7X4jjU+r7QPbJfqnZr2524MQi2tPKJhHrLm3C5muWwemxoL+/P6mMXPp/yTv/GGPeKWy88hrIThcvp5SOfyHKIPtkn+yT/XK1X4gyyD7ZL0X7uaJcj0+p2C9EGWSf7JeqfSUcSituMwLeSQx2n0R9W0dW9gmiWKRvklEmMIG7q6ur2G4QBEEQBEEQBFGGbLi8GSarZHg7q8OEHW9uw+3/fDEuf+dquGpsyDesRf6Om26GzeXOe1kEQRAEQRAEQRBE8Vlx3pYF12FR3ARRapS9wJ3rtOcEQRAEQRAEQZQfqqJh6LQXAV/Y0HYWm4yNlzVnvH5FtRWXvXM1bv+ni7HzzW2wOc2GymMt59lAEARBEARBEARBEAtRvawVjirPvOuQwE2UImWdopzh8cz/wyUIgihFZLnsb9/n9PEh/8vb/0Icn1LfB7JfmvbZdrW1tQuuo2lalp5l7kcmYvZo7xQGuye5qM2G4R4fNEXH1bevw7qLGw3ZP/+aZdj/xBloanrhubrFia1vWI6VW+sgSmJW/kdCQfz+6/+O5rXrsfVNN827j9nYzwV0jyP7ZJ/sk/2la78QZZB9sk/2yX4u7UuShPXr189ZlssyjED2yX4p2mdpxFs3bcbhZ55Iu23PkUP8e9NksRq2TxDFQtCXSPN/URRRVVWFkZGRnNr9yEc+gm9/+9tQVTWndgliPoaGhlBXV5e0bHBwcMFKX4IgCIIgCCK3xMVsJmIPMjG7e3JazE7Fpiuacfm71xgu54kfvI7XX5jbr1nzmioubC9b51lU/2S+0RE89OV/xEDXcQiCiLff8zm0bdmetT2CIAii9KC6BoLIPew39I1vfGPede6+++45vz2CIIhS4vCzT+KR//yXede55TN/hxWbt2EpQu9ARCqWVJOL8fHxYrtAEARBEARBEEQJMzkcwNmjYxjsXljMTgUTwbNhy/XL8fqLfYDOWsgD7Vvq+LL6FS4sloGuE3jo3r+Hb2yUz+u6hoe/+iW8+x++gpplrYu2TxAEQRAEQRAEQZQvLIJ7IU4d2LtkBW6CWPICN0EQBEEQBEEQhBFYQqqRHh+69g3j5P4hDJ/xLcreyFkfNFWbN414KqoaHFi1rQ5mm4zN1y1HZZ0dueDYy8/jkf/8VyjhUNLycCDARe8/+sK/wu5y56QsgiAIgiAIgiAIovxwVFahdvkKDJ0+lXad7tf2FdQngig7gfvBBx/E29/+9mK7QRAEQRAEQRDEEkXTdPR3jk+L2pPDwZzZViIaxvr9qG52Gt72ug9tWFQa8tnC/csP/gLP//yHadeZGBzAr//lC7j1b74A2WTKSbkEQRAEQRAEQRBE+dF6/tZ5Be7h06d41jBnlaegfhFEthgLSygAt956K97whjfgK1/5Ck6dSv9jI7Ljuuuu432dlxKPPfYY7rrrLmzbto37zioN2bijowO33XYb7rvvPnR1dRXbTYIgCIIgCCKPKGEVJw8M4/EfvI7vffo5PPgve7H/8TM5FbfjsPTm2ZArcVsJh/HIf/3rvOJ2nJ4jh/HYt/+LC+IEQRAEQRAEQRAEkW2a8tMUxU2UEEsugptVzDBBkw333HMPKisrce2113Jhlo1XrFhRbBdLkj179uCOO+7g43h/5+zYLmUeeOAB7nOqvtnZMjYwYZutx2DXB7tm2JggCIIgCIIofYJTEXQfHEHXviGcPjQCJawVpNyh016su7gRxWBqfAy/+pcvoO/YkYy3OblvF3xjI6jw1OTVN4IgCIIgCIIgCKI0aV63AZLJBDUSSbtO94G9WH/51QX1iyDKRuBmUQ+J0QdjY2NcwIyLmCR4G4MJwEz0jR+/UoGdX9bIgXHnnXfyCO6tW7dO/z0ubH/rW9+ajt6ON4xgWQC+/e1vL3kBnyCyhd0jQ6HkfjgtFkvOosZKnVI/PuR/eftfiONT6vtA9sl+fL3f/tcBnD48Cl3LPDKZbaeoyR/rsmQy7P/EUGBR/htFU1X0HnsdnbtfwWtPPQ7f+Oj032RRnNd+bWsb3vbp/5eRuL1Uzu9SLoPsk32yT/bL1X4hyiD7ZL8U7eeKcj0+xbY/NTWFL3/5y0nLPvWpT8HhcOSsjEwh+2S/1O2bzBY0r90wb5Q264eb2Ur1jV7K9X1EebLkBG5Gqh9PHBK854eJvSxK+9VXX+Vibzxiu1RgUdnXXHMN95udTyZgt7e3z1mPLfv0pz/NBybg33vvvdN/Y9cG2/7RRx9NuS1BlDrsnjg6OlPxzWhoaKAXijI5PuR/eftfiONT6vtA9sk+Iz5vRNzm60PHVGgyaZnL7oGA9P7bKkyoXe5CXWsFapdX8LGj0pL34xPweXFq/x507X4Fp/btRnDKB03X4Q0mVxpUWC1pve/YfiFu+JO/gNlqK6nzu5TLIPtkn+yT/XK1X4gyyD7ZL0X7uaJcj0+x7fv9fvzd3/1d0rKPfexjaQXupbgPZJ/sLyX7LE35fAI3yyg2fKYbtctXlFV9H1GeLDmBO1HMjv84FiN454N3vvOd3Kef/exnWAqw/qhTpfFmsGhmRqlEcMfFbRa1zcTtTPjSl77E++NmUd6JQj/rs/vkyZMUyU0QBEEQBFGCtJ1fw9OT55J0YnYhPsp5hUDPGR6l3bXnVfQefR26nn3K9R033YLL3v0+CKKYUz8JgiAIgiAIgiCI8mTF+Vvx7E++P+863fv3zBG4CWIpsuQEbibIMnF69+7dPAI5nn46W8E7zmc/+1kueF999eL7D2CRwRMTE0tG4I6L20zIZRHL27dvnxb42TIW3VwKAjeLxE6M3DYCE8Q7OzuTIrnZcWEiN1tOEARBEARBlBYrzqsBfnKUhWVnhWwSUd/uwpqNK1C/ws0FbWdVYVOoKZEIzh5+jQvaXXtewcTgwKJtipKM6+78ODZemZ/GvARBEARBEARBEER5woRrm8uNwOTEvGnKt7/l5oL6RRBlIXAzgZKlGb/jjjv4PBOSmdDNROVsBO/EKF82MFhfzvEo71wI3sUm1f6WGuy8snPPBHp2rrOBnV8m5CdeI3G7LJU5QZQTkiQV24UlTakfH/K/vP0vxPEp9X0g++VlX4mokCQRgigYsu9wW9DQ5kZ/V/oP79lYnSY0bmzE8o3VaF5ZCdksoba2FmIOo5wX8p+ldOva+yq6dr+K7gN7EQkFDdkX5xHgrRUuvPUvPouWdRtxrlw/xSiD7JN9sk/2y9V+Icog+2Sf7JP9YtkvRBlkn+yXun2WAYylKT/y/NNp1zl7+CCUcBiy2WzYPkEUEkFfIuooq3RiQrWqqvOul4ngPZtUu5i4rlHBm/nK0oKPjOQ2ZWK+YAIvi45OhEW6L6XU3Sy9+H333ccjt1k0drYwG4mpyhlsPwudqnxoaAh1dXVJywYHB3kFK0EQBEEQxLnA+KAfh57pwesv9uG6D25A64Zqwzb2/KEbL/7v/Nl4XDVWtJ1fi/bNtWjocEOMCenF4Kkffge7H34wL7arW5bjbZ/+HCrrc9dXJEEQBFFaUF0DQeQe9hv6xje+Me86d99995zfHlEY6L5HELnn4FOP4f++8e/zrnPr3/wjF8KXCnQvIEoignsh3G43brnlFj4sJsI7UfRm6dBZaux4emsmeLN+tpnovXlz8o+YlUfkHiZMMxYjbse3ny1ws1Tlv/jFLxZtmyAIgiAIgpgfTdVw6sAIDj5zFmdeH5tefvDpnqwE7vbza1MK3DXLnFzQZsJ2dbOjoGnH58PT1JIXuys2b8ObP/FpWOyOvNgnCIIgCIIgCIIgzg1az1tYuGbZyJaSwE0QS17gzibCNp+Cd5x4dDdLn/3qq69mtW9Eeth5ih9ndtxZA4PFwLZPPH+M+++/nwRugiAIgiCIPOEbC2HfU13Yu2sfQoFYRib7zN+PdPbC9ZQP2y/YApvNlrHdyno7qhodGO+fQtOqSi5ot51fA1dN5jYKSfuW7Tm1Z6tw4cJb3oXN198IkdLBEQRBEARBEARBEIukwlPDM4SNnD2ddp3uA/uA9xTULYIoXYH7mmuuyUnkRTrB++c//zkfs2heo4I32y4uwsbxeDyL9pWIEu9zmx3jbdu28enFpCqPC+WJzD5/BEEQBEEQxOLQNR1njozi0DO9OHlgGBHRh/HaY0ByN13TPPF0J9asX2lI4GZc94H1cHossDnTGF5COD3VqGvrwODJ+dOqz4e7rh7t23aifetO3te2bDLl1EeCIAiCIAiCIAji3Kb1vC3zCtyDpzrhnxiH3b10urkliCUrcMdFzlwzW/BmfTEnRnhnKngT+SMxyj4OSzPOhGoWNW+Ujo6OHHlGEARBEARBzCboi+D1F/pw6NkeTAwFZv4gLrytpmmGy6tdXoFC4Z+cwKn9e9C1+xVU1NTiivd+0LANJkwbEbgFUUTzmvVo37qDb+tpblkyKdcJgiAIgiAIgiCI8kxTvud3v5p3ne6D+7HukisK5hNBlKzAXSja2tpwxx138IFBgnfxSTzmibDzkU0Ud7roeiakZyOYEwRBEARBnOuw99/+rkkceqYHJ3YPQlWMC9WMs0fG0dDQgKW0X0PdJ3Fy7y507nkFfcePsoXT0diXv+cDhsXmjq078NIvfzrvOlaHE21btnNRe8X522B1Ohe1HwRBEARBEARBEASRKcvWbYIoydBUZd5+uEngJpYy55zAnQvBmyhM3+uUBp4g0lfGh8PhpGVms5nuUWVyfMj/8va/EMen1PeB7C8t++GgglP7xnga8pEe36Ltn9g1gE0XtRX1+ERCQZw+uB9de15F195d8I0Mp7TlGx3h4nfdinZD9uvbV/I0biydWyKsj7No6vEdaFq1NmWf2uV2/eTafiHKIPtkn+yT/XK1X4gyyD7ZL0X7uaJcj0+p2C9EGWSf7JeTfZPViuY163Dm8GvzCtzMLrNR6vV9RHlyzgvcmQre999/P/XjnCdYOvIHHnhgjujNUpRnw+joaMrlJJgT5QJ7oRgZGUlaxqLh6IWiPI4P+V/e/hfi+JT6PpD9pWF/tHcKR17uQ9eeIdhkN0Qhg/zjGeD3hdHfOwiTRSro8fEOD0UF7T2v4Myh16BEkj/M08G2mS1wL3T8WcpxFp195LmnsGzDebHU4zvgrms4Z66ffNkvRBlkn+yTfbJfrvYLUQbZJ/ulaD9XlOvxKRX7hSiD7JP9crPP+uGeT+Bmjb5He86iumVZydf3EeUJCdwGBG8WzX3NNddg7969xXarrGBCNmtAcM899/A04mz+S1/6UtrI7oXo7Ezd52G29giCIAiCIM4Veo+P4fc/OoCBU5PTy2w5/GK44SObsuqH2yiaqqK/6ziP1J7oOo7Rs6ezssME8Qtvfqfh7S591+24+gN3wWy1ZVUuQRAEQRAEQRAEQeQTJnA/97MfzLtO94E9XOAmiKUICdwGYALpt7/9bWzfvr3YrpQdt956Kx9ywZ49e+YsyzYanCAIgiAI4lzAPxnGC788gddf6sWkf0bcLiWCPh86976K3U89zqO0Q/4pvrzCaoGYZavyvhPH4J+cgN3lNrSds4oyBxEEQRAEQRAEQRBLl7q2dlidFQj6vGnX6X5tH7be8NaC+kUQmUICt0G2bt06bxpsovikSiV/3XXXFcUXgsgXopibVLHlSqkfH/K/vP0vxPEp9X0g+4Wzr2k6Dj3Tg5d+1YVwQInazzYduS5A0GRIkgjJJEKSxbz6zlKkjfX1oHP3KzzSuufIYaiqCl8wxP+ek0Rpuo5T+3Zj/eVXl+T5LUf7hSiD7JN9sk/2y9V+Icog+2Sf7JP9XNpn6Y9ramrmLMtlGUYg+2S/nOyLooTlmzbj2IvPpl2HNR5XlQgEUSr5+j6i/BB0VjNEGIL9kKuqqub0ObBUuffee3n670TGxsbKMmX3fffdx/v0nk2hL/OhoSHU1dUlLRscHERtbW1B/SAIgiAIgkhH/8kJPPPTYxg6nb61dqbYXWasv7SJDxUeK/IF+7BmQnZc1B7v70O+WX3RZXjLJ5PfpQmCIAiiGFBdA0HkHvYb+sY3vjHvOnffffec3x5BEEQ5cODx/8Oj9/3HvOu842//GcvWb0IxoXcgIhUUwZ0FTBhm/XETSw/Wd/dsPv3pT2MpkM2L8N/+7d/i85//fF78IQiCIAji3CToi+DFX3Xi8HO9wCLbADavqcLGy5vRtrmGR27nA1VRcPSFZ7iofWr/HoQDfuQbUZLQsm4D2rbsQMe2nXkvjyAIgiAIgiAIgiAKzYrztqRc7mlq4X10s6GhfVXB/SKITCCBOws8Hg8mJiaK7QaRou/trq6upGXt7e0pRW+CIAiCIIhzlfFBPw4/25v19ha7jLUXNWLDZU2oanCgENmTnvnx9zA1PpbXcuzuSrRt3o72rdv5R7zFnv99IwiCIAiCIAiCIIhi4aqtQ1VjM++Hm6Urbz1vM1o3bYGrhiKjiaUPCdxZcMstt2Dv3r3FdoOYxR133DFn2f33318UXwiCIAiCIJYqDe1urL+kEYefN5beu26Fi0drr9peB9ksoVAIosgjqQ8++Yec265r60D71p1c1Gat0llZBEEQBEEQBEEQBHGucNvnvgBnpYe+h4mSgwTuLKCI4KXZ9zaL4J4tbm/durVoPhEEQRAEQSxVLnx7Bzr3DSE0pcy7nmQSseaCBi5s1y6vQLFo35YbgdtksfIW6Uwwb9+yHU5PdU78IwiCIAiCIAiCIIhSpMJTU2wXCCIrSOAmSh7WH/pdd901pxHCrbfeWjSfCIIgCIIgljI2pxkXv30lnvzRkbTrtJ1fg0tvWwVXjS0nZbIU433Hj/JU4E2r1xratnXTZkiyzPvjNoq7vgHtW5mgvQMt6zdBNpkM2yAIgiAIgiAIgiAIgiCWDiRwEyXPbbfdNkfc/vSnP42lxuDgIGprqe8KYvHoug5lVgW/LMsQBKFoPi0lSv34kP/l7X8hjk+p7wPZL5z9dRezNOW9GDg5mWTfXmXCZbetworzaqaXGbUfCYcw2NWJvhNHuajNxt7hIW5r7WVXobatw5D/ZqsNyzaej1P7ds+7HrOvCwKaVq/jojbrU7uudQXvx/tcO7/laL8QZZB9sk/2yX652i9EGWSf7Jei/VxRrsen2PYDgQC++93vJi374Ac/CJvNVjL7QPbJPtkniPxAAjdR0txzzz147LHHlry4TRC5hL1QDA0NJS1raGigF4oyOT7kf3n7X4jjU+r7QPYLZ18QBVzx7jW4/59fha4Doixg87XL0bzZAtk8U85C9plPY3296Dt+BH0njqH/xFEMdZ+Epqpz1wVw9MB+bE3Yh0z9Z4J1OoHb4nBwMXvFlu2wNjTD5nDy5RpySymd33K0X4gyyD7ZJ/tkv1ztF6IMsk/2S9F+rijX41Ns+z6fDx//+MeTlr3jHe9IK3AvxX0g+2Sf7BNEfiCBmyjpfrfvvffe6XkStwmCIAiCOBfhUcuazgVro7B+tTde2YLxAT8uf+dquGqt6O/vn3ebgHcS/SeOTUdns+nglC/jMicG+hCcmoLV4TDka8fWnXjiu9+cnvc0taB9206+vGnNOoiSBE3TFvSfIAiCIAiCIAiCIAiCKG1I4CZKkj179iT1u/2tb30Ld955Z1F9IgiCIAiCKDSTIwHseuAAlq+v5tHX2XDJLSshSgJvec0E4kRUJYL+zuMY6Dw2HZ3NorUXy9DJTizbeJ6hbVy1ddh09fWobmlF+7YdqGpoWrQfBEEQBEEQBEEQBEEQROlBAjdRcnR1deGaa66Znr///vtx6623FtUngig0lP6lvI8P+V/e/hfi+JT6PpD9he0rERUHn+7BgSfOwm52o79zEiu31cNZZTFsT5Jn+qfWNQ09Rw7h9MF96O/qxPCZbtglEWIO94lZGuzuwvJN5xve9vq7/vScOL9kv7hlkH2yT/bJfrnaL0QZZJ/sk32yXyz7hSiD7JN9sk8QSwdBZzkNibKGpfFmfVUnMjY2hsrKSpQa4+PjaGtr42PGo48+imuvvRZLDdYfRV1dXdKywcFB1NbWFs0ngiAIgiDKg9OHRvD0z45hciiQtHzl9jq84cMbs7KpaSqOvfgcXn7wF1zUzjdtW7bj5r/6fN7LIQiCIIhyguoaCCL3sN/QN77xjXnXufvuu+f89ojCQPc9giAYdC8gUkER3ETJwETtbdu28TET5x9//HFs3bq12G4RBEEQBEHknYA3jGOvDODIS30YPpO6v+sTuwax/pJRLFvnydiuqih4/bmn8MpD92OsrweFgqU7Z+1sqQU4QRAEQRAEQRAEQRAEYRQSuImSgaUlZ+nJmbi9e/dutLe3F9slgiAIgiCIvKEqGroPjuDIi33ofm0EmrZw4qVnfnYM7/qbnZBMM2nHU6GpKl574v/wyq9+icmhgZz4q4sSVIdr3nWkqUlIgoDK+gYEp3ywOStyUjZBEARBEARBEARBEPmF1SWIklRsNwiCQwI3URJcd9112LNnDxe1mbhdiunVCYIgCIIgFoJFNbMIbSZqH3t1AEFfxND24wN+7H3sNLa/acW867HI6b2/fzhn4jZDM5kQXLZy3nVuueGNWHv+Fshmc87KJQiCIAiCIAiCIAgiP3UUoz1n0H1gL7pf24eeI4fx4f/8DqwOZ7FdIwgSuImlz2233YbHHnssa3H7gQce4DY6Ozsp6psgCIIgiCXJ1ESIpyA/+lIfRnqmFmVr9+9OYfWOerhqbGnXEUQRF9z8Tvzua19GIalrbSNxmyAIgiAIgiAIgiCWKP6JcS5mdx/Yh+7X9sI3OpL09zOHDmDVzouL5h9BxCGBm1jS3HXXXVygZn1tsz63s4ncfvXVV/mYxG2CIAiCOLdbHU8MBTDYPYnBbi/8E2GIooDKBjtqmp3wNDtQ4bEWtE9oNaLh5IFh3q/26UOj0DNIQZ4Jq3bUw2RdOGXYmosuxYv3/xhjfb1ZlSMIImpaV6Bx5Wo0rlwDc009fvq/D2ZliyAIgiAIgiAIgiCI4hIOBvCtu9/HU5Gng0Vzk8BNLAVI4CaWLPfeey/uu+++RYnbjHhqc4IoJxRFSZqXZbqdl9PxIf/L2/9CHJ9S34fF2mditm8shKFuLwaYoH1qEkOnvQj5o3ZVLflDTRKjYrDZKqG62RkbHNPTZpucM/+Zb4OnvFzUPv7qwLRPRkjnP/P1ij9ag8YOd0Z2RFHCzrfehv/75ldn2ddm2Y/25+30VHMhu3HVGj6ub18Jk9U6vd7g4GBZXD9kf2nbL0QZZJ/sk32yX672C1EG2Sf7ZJ/sF8t+Icog+2S/3O2brTb+rd93/Oicv8XrCrr27eFllVp9H1F+0BVILEmYsH3PPfdwcZulJV8Mu3btwrXXXpsz3wii2GiaNkdEaGhogBgTIM51Sv34kP/l7X8hjk+p70M29gPeMAZiIjYTswe6vQhMhlPb1zV4A2NJy1x2D0RBRDiooq9zgg+JsMju6hYnNl7RjNYN1Vn575+I4Ngr/bxv7bF+/7w25rWfwv9qTy0uumklNl3ZDFEydh7WXXYVXnjgJ/AOD8Xs6/CFosfOYnfwKO+NOy9E8+p1qKiuydrvpXz9kP3SsV+IMsg+2Sf7ZL9c7ReiDLJP9kvRfq4o1+NTKvYLUQbZJ/vniv3W87bOEbgT6wp8p7tx/NBBrNl0XsnU9xHlCQncRM4YHx/nfWUzmKCcbcQ1s8FSkzMbjz766KJ86urq4n5RBDdBEARBlAehgIKhWJpxJmazsXc0mNcymX02rNxaa2g7Jayi+/AIXj3Wj56j49Bzk4F8GrNFQsfWWlz3rh2APgVBNJ5eXZJlHsX9+He+Pr3MVuHCede+EesvvwYWm62kGqkQBEEQBEEQBEEQBJE9redtxku//Om865x9PSpwE0QxIYH7HGV0dDRrATpdGvBrrrmGi8kMZpulFWcR2EbtXHfddbj11ltx//33L9qvL33pS3y8Y8eORdsiCIIgCKK4DJ3x4hdfeLVo5bMo7kxhfWu/8MBxhEPqdIR4LmBdhDevrkTHtjq0rq+Gd3QAz/7k6zjy/NO49a//Acs3nm/Y5sYrr8VL//szMHl825vfjtoN58NkmUk9ThAEQRAEQRAEQRDEuQHrksxssyEcCMwrcBNEsSGB+xxgZGQk72UkitsMNs2WjY0lp9BcKNqabRPfngnd2Yr3bHtmLw5FcBMEQRBE6VPVYIcoCtC0HIdCZwCLjq6qd2S8vrvWxsXtXO772osasXJ7HXyhMYz0nMGT//NNdO55BRUWM0RBwEv/+/OsBG7ZbMYtn/17VDWyFOcS+vv7c+Y3QRAEQRAEQRAEQRClA8v0tmzDeejc9XLadXqPHoamqZTtjSgqgq7nOlkisdRgQnE8dXgcFh3NoqRzAROSOzo6Uv6ts7MzI3GZCdJtbW1JInkuKfRlPjQ0hLq6uqRlrA+M2lpjqU0JgiAIgkjmF//0Ku9ru9B4mhx49+cuKKivFruMVdvrubBdt6ICSjiEk3t34dAzT6Br9yspt3nX392L5rXrsy6TIAiCIIilC9U1EARBEARRCPb+/jd44nvfmnedP/rHf0HjqjUF8YfegYhUUAR3GcPSfX/rW9+aI24z7rjjDh7pzPq5Xmx0s8fjyepvcZiovW3btryJ2xS9TRAEQRBLAxZ5PXzGi7NHxmCySNh0ZYthG3WtFUURuKubM09PHmftRQ2GfWWR4ss3eLD2wka0nVcDTQ2ja+8uvPLQc+ja+yqUUGje7V9+8Oe4+TN/Z9hXgiAIgiAIgiAIgiAIRut5C3c9e+rAnoIJ3ASRChK4y4B77rkH99133/R8JkIxW+euu+5KWpbYJ7eR/rPZdiwa/IEHHkhazpZl0s83E9sT04nnGhK4CYIgCKJ4TAwFcPbIKM68PoqzR8cQmlL48sp6e5YCtwuHnu1dlE+yRULtMifCQRVjfVPQ1IUzvVQ3Z56ePM6qHfV4/oETGdlnEeIsUnv1znqYLToXtX/3H99B175dC4raiZzctxsDXSdQ377SsL8EQRAEQRAEQRAEQRBVjU2oqKmFd3go7TrdB/bholveXVC/CCIRErjLBCZYx8XkTETl+exkA0t5zgTzX/ziF3z+zjvvxJe+9KW8lpkpmQr1BEEQBEEsnqAvwoVsLmgfGcXkcDDleuMDfnhHg6jwWA3ZZ6m6jSDJImqWOVHTYoXV4QX0EfjHe+GfHIfdbkLbxmVwVC2DINVicljHSI+PD77R0KIjuG1OM1ZsqkHXvtQfhFaHiQvaTNh218o4uW8XnvjOj7m4zdKRZwvri/utf/nXWW9PEARBEARBEARBEESJ4R8Ful8AlCBQtQKo3wCYbFmZEgQBK87bgtee+EPadfqOH0E44IfZZl+E0wSRPSRwlwFMSM5UTM4nLB06G4zy6KOP4lyA9QNOXd4TBEEQ5YYSVtHXOcHTjp99fRRDZ31Aho87JoAzcdcIVQ12SCYRakRLmd7b02hHZb0Gs3UcujqEqbEejJzpxum9vdD1udskUtnQxCOf11/YAU9zG2RzAyZHNC5417Q4s3qOr7mwPkngFkUBrZuqsebCBjSutOP0gT148f4HuLithMPIBSdefRFDp0+hZllrTuwRBEEQBLE0SPUuQnUNBEEQBHGO07MHeOWbwMEHIWiR6cW6IAF164CmLUDj5uiYid6yJSOzyzdtnlfg1lQVpw+9ho5tO5Fv6F2HSAUJ3ARRIKampmCzZddiiiAIgiCWCizd9mivH/0nJtF7bBKDp7zQlOw+NE6+NoiWTcYishmeJhuGTk/BVS3B4fZCNo9BjQzxyOyhrjPoOTiVlT/j/b18OPrCM9PL3PWNqGltw/7H27D8/K1cBDdC9QoLrA4Z9kozOrZVo2W9A4OdB7H/0Yfwm3/dBzVHonYiy8/bikAgCJ/Pl3PbBEEQBEEUt14h1TKqayAIgiCIcww1DPnY72De+11IfXtSriLoKjBwMDrs/SFfposytJq1UOs3IXTl5wFz+u7YqttWslBupi6nXefE7ldQv2Y9ivEORBAkcBMEQZQgqqomzUuSVDRfliKlfnzI//L2vxDHJ5dlqIqGkTNTGDjpxUCXD0OnvAgFZloEM0QxO/t9xyd5K1yW+ioT/32jIzj2wtOAehJm+SwGTwzM+6GVDk1L3oZFVadjYqCPD52vvACLw5mRwD3b/zd+fCUGu15D164/4IWf7IUaST5+OfFfENC2dSe23PhW1CxvO6d/A2S/vO0XogyyT/bJPtkvV/uFKIPsk32yX9r2R4Oj6Pf3Y71nvWH7z/c9z7fV2D9dg6qr0bEWHUeUCB+bRBNaXa3Y2bATLrNrXpuhUAi/+93vkpbdcMMNsFgsZXsOyD7Znw9hagimAz+Gaf8PIU4NJNufVVcgpajrEDQF0uBBiBOnEbru3nnLsjorUNvahqFTXWnrIs4efs3wPhBEriCBmyAKBGtlZLUa62eUIFKhaRoGBweTltXV1UEUxaL5tJQo9eND/pe3/4U4PostQ4loGDsbwFC3HyNsOBtIitBmFRKTgbGkbVx2D0TB+D4EfQp6u0bgrrdm5P/Y0CB2PXQ/FoOm6/CGkvu3rrBaIM4S2VNhr2tYMCo67j/rQ7vv6OvoObQfgbOnoCvKovxO5z9rHLDx4suw6fob4Y6J74uJ3C713wDZL2/7hSiD7JN9sk/2l7L9dBHcmdY1LIV9IPtkn+wvLfvs++7oxFE8N/Acnj72NHr8PbBKVnzv0u8Ztv/zYz/HrpFdKf+mazqUieRvInuVHZc3Xo43Nb8Jm6o2zWn4zBgZGcH73ve+pGWvvfYaqqury+YckH2ynwny0EE4Dv4QthO/S0pDPm1f1zEwlSxANziRtq4jXL0evgyiomtXruECd7q6lIn+XgycOQ1HlQf5hCK4iVSQwE0QBEEQBHEOw/qyZmL2cGwY6wlgga6qc8pg11SSwD0frvoGCKIEXUtu9VwIJJOJpyvPlDP792Dfw/9rSEA3QmXzMjRvOA8tG8/HilVrSqYRCUEQBEEQBEEQxSWshbF/dD9eGHwBLw69iNHQaFSA9ivTonc2GG30zPx4vO9xPjTZm7jQfV3TdfBY8iuUEUTJoEZgPfUYF7bN/anTkGdLpHZDRus1rtmAw489krTMJAmo7liLtdt3onntRtgrq3LqG0FkCgncBFEgWJ9YDkf6Pi0IwkiLP7vdnrSMXVskbpTH8SH/y9v/Qhwfo2X4xkJ44cdHUSh0jUWE98BaUYFlG9ejYUVl0vNxIf+rGpsw2nMGhaZ6WSsqXPOnz0v0v2PrDuz/7YM8BXuuqF3RjtatO+BY1o6K6pqSvEbJPtlf6mWQfbJP9sn+UrYfCATmbMe2ybSuYSnsA9kn+2S/OPa9YS9eHHgRz/Y9i5cGXoJf8addV4c+fW8x4r9JNiFbev29+M7x7+D7J76PSxouwVtWvAU763bO2ef57ntL/RyQfbKfqX3BPwLTaz+Bef8PIPr6kQ/Elm0ZvT+0btgEk9XGM8a11tWhvfO/UFNXjdC7/xP19fUFq+/z+9Pfs4hzFxK4CaJAsDQ7qVLtEEQuriW6vsrn+JD/5e1/IY6P0TIqPFY4qsyYGgsj1zBxV9cmoSs9gN7Let1GJDDE/7Zs/YW49F1vNuy/p2V5UQTumtb2jM5T3Feby436jlXoP3FsUeXWtnWgffuFaN92ASpqavlH8cDAQMleo2Sf7C/1Msg+2Sf7ZH8p209VlhEflsI+kH2yT/YLZ3/AP4Dn+p7DM33PYM/QHt4ndiawPrPjto34LwmL76+Y+cj8ZUOttRZXuK6Ys046v5biOSD7ZN+IfXHwEMx7vgv5yEMQ1OR04LlGazg/o32TzWb88b98A6LJhOHdv4at14tI/aVZ3SMWQ6HKIUoLQc9lWAlBEJyhoSHeh0YinZ2dqK2tLZpPRHkx+9ZND/nyOj7kf3n7n0v7mqohFFAR9isI+1WEAgoqqi1w1VoNlfHcT7vQtWdk0fvABW11mEdo62pU1FYj3pQ2WAqr93z5v1L6Nt8x2vfIr/HKL3+KxWCtcKGqqRlTY2OYGOjL6Bxc8YGPYM0lcytXUhH3//BTj+K5H33X8DmeLWqns18K1yjZJ/v5eAaU+j6QfbJP9sl+tvaHh4fR3t6etKyrqws1NTU5K2OxkH2yT/aLZ5/9vWuyC8/0PsMjtY+MH8na/vNvf95wZOZnX/osnup9KiP7mR4fZVLBkT89kvF9r9jngOyTfcP2NQXyid/DtOd7kHtezr39VOtZ3fB99CBbwZB900v/ActzX0Twyr9FZNsdBa3vY3pLR0dH0jLWpznpLec2FMFNEARRgpSaYFhoSv34kP/l7f+cSghNRySkIsRE6sDMmInWTLCOC9czY7ZcRTigQAnN7Rvt/OuacP71zYZ8qm+vMCRwzwjaCnR1AGqkJypqa73QtcxaGfvHx+AdHoKrti6t/XSpwjNFlGVUNTbzqO/qluXwLGuFp3kZ7O7K6XXCAT+GT5/C8KkuDHWfxHD3SS56z6a2tS3jcuP+M4H6hZ98P6M05XXtK/n6bdsvQEV17ZK6Rsk+2V9K9gtRBtkn+2Sf7Jer/UKUQfbJPtkvrH1FU/DayGs84vnZ3md5qu9c2NcF4zFxC0Vw5+r43HfoPrxry7vQ7mrPWxnpIPtkP5f2Bf8o7D96I0Rv9r/bJMxORDbchsjGd0DwD0PqPwBx4ACkgQNJqc7VuvMMi9sMaegg3wc9w+hvgsg3JHATBEEQBEHkEU3TMTUawsRQEJNDQUwMRsf+iTAXrCMBFYvNp8MFVD0IQbRxcdwoL//i8whO+ACBtdCX+Fhg49h0dCxBwMw060ubiduA8fLi9J84mlLgng8mVKeCidZM/OZidmxcWd/IRe75MNvsaFqzng9xwv6Y6N3NRO8ujPWcRWWjsUYDDJamvHHNOvQeObxoUbsUiEQi6O+fv3+whoYGmEzZ981HEARBEARBELnE6/XiqafSRx0zrrzySlRUVGCpEFSCeHnwZS5oP9//PCbCEzkvQ9M1wynHJXHxKcoz4aGTD+HhkYexwbMBN624Cde0XAO7PLevboJY6uh2D3RnI7BIgVurbEV4ywcQ2fAOwOKaXq62XT09LUwNQhx4DVL/fmju1PUqC8EEcx0C1LqNi/KXIHIFCdwEQRAEQRA55vTBMXTtHuaitnc4BE3NfY8wuq7yqGkt0skHCDZYXO/hEeBGUSJBJusCcTeZXp6qTOSW/uNHsPqiywxtY3NXomntBjg9NTExezkf2ypmPuIWi9luR9Pa9XxYLO3bLkwSuOvaV6F9+wVc2HZWZ55OtBSYmJjA/fffP+86t99+u6E0qgRBEARBEASRT0KhEI4fPz7vOhdddFHRBe5B/yBeHHiRC9qvDr6KUJ7752WR4SbRWMNUh+yA2+yGKIhcHGfj+BCfZ42zT/tO58THQ6OH+PDVA1/Fz677GWps9J1BlB7hrR+E7be7s9pWab2Cb6+2XRULTkiP7qiD2n4NH7IiMAZx8gxUzyrA7MjOBkHkGBK4CYIgCIIgcoxvNITTB8dzblfXQ9Aip6ByUfskoCdWakxC17wIB9yG7WpK9lHYi6H/+FHD27A0WG/+y79BqbBi6w4cf+k5tG3bWZaiNkEQBEEQBEEQ+eHo+FE8dvYxvNj/Iu9bO9/UWmtxWdNluKj+IsPR24xPbfkUHxbirO8sfnPqN/hd9+8wEsq8q6x0rKhYQeI2UbIoq26A5qyH6GMZ8hZGl23RNORb3g+tejUKBUtzztDqNxWsTIJYCBK4CYIgCIIgEmDR1kFfBN7REE8l3rDShQqPxZANd501Z/4w0VoNR6O0NeUM8zDtumqkCyF/o+EyVNV41HcuGO/rQdA7CWsOo6+XGix1+ls/83fFdoMgCIIgCIIgiBKDRWr/+NiP81oG68f68sbLubC9tnJtQfrVbXG24O6Nd+OO9Xfghf4XuNjNRHxtnm/d+WBpygmiZJFMiJx/OyzPf3ne1Vha8fDm9yOy8Z2A1Xhgw2LRXC0IXfCn0OrPK3jZBJEOErgJgiBKEE1LfukXxfnT0JxrlPrxIf/zg6poCHgjCExGBz+fDkfnvRH4+fIw/L6EVN0ALnlHOyp2Gusf2VVrnbcvs0RYmrZEWMo2XR3igjaL1NbVwYzL1cKdCAcuMHQOdE2DrhqL4NZmdRouZlEJIkgSalvb4J+cmCNw5/saIvtkn+yXrv1ClEH2yT7ZJ/vlar8QZZB9sk/2c2efRVJ//eDXp+d1Lfk7TBCNf4eJEHFezXm4rPEyPjCxOdF/9j1aqOMjizIub7qcD0OBIfy2+7d4+NTD6PVn3h+xTbLxPrhL9RyTfbLPiJz3Xphf+hqEFF0PKMsvRXjLB6OpxRfo5z6f/uueDgQv/st4QTm3TxDZQAI3QRQI9oCZ/ZAhiGxg19HAQHLamvr6enqpKJPjQ/4bRwmr0yL19Dg27U+YD/sXFnGZ+DzpH01aNtZfD02rNuSTzW2CKAvQFH1B+y67BwJ0aMpZaJETUMNdgO41VN60feUM/F4v+vr6Mj4HaiRirAxdhzeY/NFVYbUsKHLLFgvq21ehftUaNKxcg9q2Dpgs0YYAic/HfF9DZD9/9hMrw9Khqqqh67Ocjg/Zzw2lvg9kn+yTfbK/GPup6hSM1DUshX0g+2R/qdnP5B2WrbPQ7ywf/q9wruBpw4eCQ1zcViaSM2/JbjkjkdsiWbCzdicXtC9quAhVlqokv/PlfyIL2a+2VOP21bfjvaveiz3De3hU9zN9z0DB/NnGmLjNRO74vTDTfZgMT8JhchhKxV7sY0T2y9i+tQqRNTfBfPh+vlyXrQivu4VHbGs1axKNLE3/CwDpKkQqSOAmiAIxPDyc0UszQWTyQGfXUyIshVSpCKD5ptSPD/mfGiZO9x6aQmhKRWhKi459bFqFGs7vvXXo7CQGBzOPoo5jc0uYGpnnY1wLQVPPIOwbBpRTbC+xeFQEvF0YGrInpZab7xwooSDygdnhRHVrOzwr2vnY1dAEUZqpPBibmOT9hhf6N0D282d/fHzhfudHR0cRDoeXpP9kf+nbL0QZZJ/sk32yv5Tts+fobNg2RgTuYu8D2Sf7S83+5OTcb5LZjIyM8Iaa2djXBR3HvMcQ0kLYXLnZsN+b3ZvxaPBRw9u5ZBe2e7Zjp2cnznefz0VuRmQigkEMLunzuxzL8bHWj+H2ptvx2+O/xefwubR2L3FdMv29bqSM/zj+H9g7vhcXVV+ES2suxZqKNXOyqy1mH7KB7J/b9i2tb0Vj93MYX30bJjveCs3ijvZQl2F9VLH9zzfsPkwQsyGBmyAIgiCIgsFbvquAJBtLpaaEdRx7ZgLFwD9uLMI5jsNjmha4dT0CXR2BogxCCXRDU4ehq6zlqwYtg+hnI9St6IcgbMp4fc1gevJ0OKpr4FnejuoV7fC0tsFRXVuQ/tsIgiAIgiAIgiCWEhORCRycPIjO0U4cmDyAKXUKK+wrsHmzcYF7S+UWPDqQmcBdb6nngvYF1RdwwdZIdPJSpMJUgesbrk8rcC+zLcNq52rDdsNaGC+Pvgy/6scj/Y/wocZcg0tqLuFid7ujnb5liZzDrrspZQoO2ZHy7yHPWpy66aGUachZXdpweBhm0Tw9lPrvmyByAQncBFEgUrW0zjd9oT74VB9vgcgeeqyfHTYdH0uQkubZP77erGULtWAkCgtrMTc2Npa0jLWWK5UI33xT6sdnqfnP+4Nm6bPZP12bM1Y1DUqYDTqUkI5IUMXY4DjUiA4tJEIPynCZ/EBIghoQoASB2jUyll1gNuTH7FTfhcQ/rmB4aNhQ/2aTvWcx0X8MYd8gdCZma+PT6b3V8Nw+lXLJyJmTcIyOJn2Qz3cNaYqCVW+4iQvduqZCV1lqNzaODtPTLOWbqkJVFJgnJ/i1waK0HbX1aF23EVaXe9om28NQls+9fP8GyH7+7Pt8voyivEOh0JL0n+wvffuFKIPsk32yT/aXsv3Zf4/XNWSaLW4p7APZJ/tLzT57N2Vpdhd6z50vgpsJpUenjmJfzz6cCJxAT7hnTgrxU/5TONF/AlWmmfTgmdCitvD6u3Spulutrdji3ILNzs1oMjdFvwMjwPjowtmVSuH8prrvvaP2Hdgr7MVO586k+tZMy9jr3cvPWSJMPPxV76/4UGeqw07XTuyo2IEmS9Oi9yFTyH552BcVPzTZzqcnlUkcmDqA/b79OOQ9hG36NtxUc5Nh+ywDxMePfzxpGbsvmEQTTIIJZsEMGTK0CY3PO2Un2qxteKP+RjhNTpRDfWUxtBVi6SPolDOZIHLO0NAQ6urqkpb99re/hcfjKagf/93733jZ+/Ki7QgQ5orjgsSXpxPO72y6M+klMBPYw36vb++M0D5LeJ8uL9Wy2SJ9fD7VstkCvyCi1lQLh5S6Bd1SZHYKulIRb8+146PqKiJ6hLfSDOthRLQIH7N5vjxxOmGdkBri02x7JiLrop5SXGb/2GPcLtnxwcYPGvbvP8/+J04FT3EbsmKBHDFDVqwwK1aYYmOzYoNFscOi2GDmYzssanxZdHo2zLdEZjeSOVm9H9uubUCbrc2Qv3t+7IMeyf+5TOX/hputsLoyL7v7hadw9uXn0thPfvXKRfS2tdIDT8dqVHesRkVjC2a/3OX6N5Dv3xjZL037bDtFmb+PPFme2752qfhP9kvDfiHKIPtkn+yT/aVqn1Us33DDDUnLfve736Gqqqpk9oHsk/1ysO9VvDgeOI5jgWM45j+Gs6GzvGE46yc7kdmNpG+vvx2XVV5muLyvnPkKjvqPcvtMyFprX4sNjg3Y4toCj8lT1sefbTMxkZzNze12823Zt/vs+oZMyriv9z686n01I5+bzc3Y4dqBnRU7UWuuXZLHiOwvHfu13b9B8Mwv8MuON2J3+DROBk/ye8P036Va/EPbP0wHJGRqn91z/rzzzxdcb/Y9iGV1+FjzxwzX0S/F+lYmcN94441Jy1j3BLW1tQXzgVh6UAQ3QRQI9vJl5KMzF0jDuUlVwh7EKvunx1qrZtAsxlHhQJXD2P4OTw3j+YnnUQw+sfITuKzK2EfGK6Ov4MvHvpwknscF+Jwvi4nx8XmWomp71XZD/rKXoeeGn4s2WBDE6XG8oUDisnj5c5bH/sb7WEkYp/pb4rxNssFtmonuLBZMyI2LymE1OmatIPl8wlBprsTairWGbDNh+hP7PzFtg9md/s3kGfZBa/T+Eglq2Pz8LdgaNsGsWnkzllyxUNYHa7gCVe4qw/cIxToCKTJXUM81qfyfCkTQ2NqQsY1Aa3tagTsn6cgFAVUtrahfuwENazfAWTt/xAFBEARBEARR+qSKUamsrCx4XQNBnGuMhcdwePIwDnsP8/GZwJmU6y2U9etY5BhuqpqJ3syUayPXYqV/Ja8LWu9az9MTn0tUV1fnzFZQDeLA8QMZr8+i8XuGe/DQ8ENY6VjJ05hfXH0xqs2584kobVh9ILsv7D/7K+zy7kFvrRWYfCrlukPqEEKOEJptzYbKUEOZ1S/OvgcNRgbxtd6v4Z82/lPJX7PzZdEgzl1I4CaIAsFFvwJHkc6OQiwksiQb3l9dKF5CCUmUDPvLo2ehQ9Fj0Wp6Yfsh2lm909A2E8oEvnPqOygGF1VfhE+t+ZThypvbXrxtWjxPJ8LPt4wJzLMF7Ez9Xe9eb8hf1op6JDAKQWcvkwIk3QQJZog6u64EPmZ/Y0JydCxAYMvi46S/RccmzcIjp+MR1BbFER2r0ejpeHT1QPUJiDuMXb8miwBboDiNDuxhF6yy1fBvTrUEIE6a2BRrlsp/hWxaj0/zBgXa9N9ZYvWZdWN/48tnpucsT7Sr+Xh6caViO05OerBazLzFq7sxN61jE5FMJtSuXIOGtRtRv2Y9LM6KnJdBEARBEARBLF1SvT8XMj0oQZwrDIeGcWjyEBetDk0cQm+wNyd2D0wc4HVJsmisSv6ahmtyUj4B7Bndw+uJsuHE1Ak+/KD7B1jnWocdVTuwpWoL7wuc+uw+t/BGvNg9thu7xnZh7/heBNRA9A+mhX/bu8Z3YZljmaHy0nVRkAkj4RF88egX8Y8b/5EHIJUq9BsjUkECN0GUMeyluVgwodEohYp2TQWLYi6l45uVv8Vq8KCz/jCMXw+hgIKVg9sg6TJEXYKksbEMSZOm5+N/E2PTEp+WZpZz4Tg2JAnKKYTmhHWCdSPAGuMvWh985Uu87EIzGRo0vI0oCVClCCSVCcaLjCLRA9B1P3RtCtD80PUp6Jof0NlHY0xonhafNVgDbpiENxouS+36KTQ1v/1Xp2J/3QO4uuMDhrZxeGpYyxlAXdzvLmTRMdyoY6xZgq9egGzuhlnsg+nsU7zV/nR/S6J5ep6NN7g2YFXFqkWVTRAEQRAEQRAEUe6wb9qB0AAXsnmU9uRhPp8PeF/d3qPY4N6QF/vEwrDMhouFBbvEr5X/6f4fHhm7uXIzj7A/v/J8OOTS6QKRyJyeQA9eHX2Vi9pHJo9kXS+8a3QX3t78dkPbZBqwk46TUyfxlaNfwWfXfTarOmWCWKqQwE0QZUwxI7hLSoDN0t9iCvLZNCAI+zQsH1ufIBYni8RR4ZgJyLH5hOm4aJz4t0QhedpOCvGZjQfWHASMZfxGwKvg6s73ohhEQt4styxOFgJzlmm7FVMopcAdFa2DM6J1bBwVrWPTCX8zut+C1sT7/DYMS7VUhJ9dlddkuJWrKEmQPBVQh5L7CsuEcWcYZ+oCOF3vx3BlGDwpACMYGzLg9tbbDQvcU8oUfnL6J/xjnPXrzsYOyQGn7IxOx+btsj3pnslT/2th3mKZDazSJmms+Bf825+u+lOsrlgNoxz3Hud+sQoFi5TFNUUQBEEQBEEQxDkF+35hEdlM0I5HabMIx0LBoj5J4C4OrB6vL9CXc7vs+nl88HE+sPo69m3LxG4W3d3uaF+wGzdi6V4vr0++Pi1q9wVzc+2wRi6TkUm4TK6CCdwMFml+X9d9+Ej7RygamigbSOAmiDKmmIJxNi9vRfUXi/BXx7SoK2tmLujKmgkSHxKnTdHphL/LTAhOmjZD5kJybN3Y32dvJ5j7AGPZbBDoE3DDkbtQDNjxyWIjFAtNy65snma/CG6bFKvhbYKTE1CD+xBhWZRi4nWyaJ3P36MKBCTAaWwrlgigGK/gVV4zF3yNonscQAYCN4txH6wK4Uy9H6frA/A6sk89FSebPtkmIhN4pP+RjNa1ilYudMeF7cU2+GEfd9nwhde/gEklui0T4j1mDxe74+NqS3XSPFuHPuQyI35OqXU3QRAEQRAEUU6w754/2fsnRSm73lJvSNSajRgch3XkIOTAEASNva+zOgiWMU2HEO+Gi03z+ir2N1ZBoUHgjdjjy9i8luJvCdvycawLL13ly0bOvxuKo8GQv67OX8N97IFpG1F7GkuBB8Vej5BnLYLV6xHyrOPzbHk+Yd82/77533HCd4JHcj8/8jxGw6M5LYNF9R7xHuHDT8/8FC7ZxaO6meDNorwrzZU5LY/IXcMXn+Lj18OZwBkuajNBmC3LNewaYQ1drqq7qqACN+PRgUfRYG0wHEFOEEsVErgJoowptZTfi/WXpZueIyrrM0JxkqjM+kdOEJHRbtxfZX8lPnTwXm6DpbvOFzyalvcNHGGxxdB1BaGgHlseJRPBRlUC0KZfzBLXz2B6etLgdjHEUDaCXbQPZGNlRef5seHHhA0iBEGCYKDRReKxNUSO+pGfXX668xtdLwxL2Pj1G5icgDj2Sl4Cohf2X4Pmz+I3Z1ZgLkCG8tn+u/wyzFmknlc81pR3Br9JwVhFGGMVEYy4w+itCyJkzm2DAlmQDd8jjHy4xSOyjdhfyJ7R3wD7wIuL23H/2XDaf3pe4Z8J3VWmqujYXIUKuQIusys6NkXHfDBVZC3uZvobzpZC2H/w7IP48ekf82PGMhiwwSpZo4NoTZpO9ze+fNa6bMyuz3z7T/bL134hyiD7ZJ/sk/1ytV+IMsg+2S+k/fj6mfrB1neb3GiyNvF0w/n2n3cf5d6ArZVbsbVqKxqtjVmXyYTi2lf+uWjHf3ztuw0L3FJgGNbRwyntm8c74eh7cXpesVQhVL0OQc86Lngz4Vu11SIciWDv3r1Jdrds2QKz2ZzVNcTmWbYzNrxvxfu4EM3E7heGX0j6vszVNcpsPjv8LB8uq7kMf7b6z3Jq3yhkf4ZH+h7hjRxGQiMYi4zxOoZC+X/SdxJX1l6Zsf1MBe5M/P9h9w8hKFVYbbsA/rCGQESDP2Hg8+GE6YTlvrDKx798z0qYJIECCIiiQwI3QZQJoVAIp08nV+r7/LlvZbYgsWjm7pPdGJPGDG2qdNmxc+zNs6KeE4TpWGRzYuRzNLI5Fum8iL6PB04d5alujeD1+eDUavjLgw4lJkAr0Nk4NuiITyvJ0zGxmq+jKwnTkbl2mO2EsGBN1zF8ZC1eliuml1VVVUEU5xdwB08dQdj7LIqBdHYFjh83dnwnh0YRmviZ4bLY8fEGk1XQCqsFIn/pYmKVAHDRSpweouJ3bBBEWCI2HD9u7MONofp3RxsjJ9iasRstk/9tVnnTfkDkcdNe/ttl/rJrIgCnVYagB2b1bx0bQ4Fs24Hjx421Ao9MZZuGfTHHP4rPPIJh31mMGbskoBYgP3k6//sOdwK1xhqyDJuCENwhLmSPxwTtUUcIvmDyh4ksy7z/91yhazq6j3bj5VMvG7pHHAsfy9i+MpHcaEV2yxBYCvks6e7rRsN49DenaRrGxpKfH6n8H1GNpxFkH4W9/l6cnjidkf82wQa7YIddtMMhOqanW+QWbLFuSVlGpv4vBHu2aIn/9OhY0RSMjo7y6aAehF/3Q3JJCAgBTGlT0UGfgl/zT0//seuP0WpqzajcuP9DwSEoUwrYv7A7jEkxuyj7Oful6dAndJgFMxe866Q6rK5ZjVZzK1pMLXz5YsjV8V/IfmLFgcfjybn9XFw/cQ/5OJZgRNU0jI+N8TZgUuy+nKn9iKZjMhwN9mG2+BCfTrA/wY5PwnbuyipIEnvGRZ9srNj4mCEmTCf9PWFaFgGbLBg6RvFjELUjLLlriOyXt/1EwaUU/Sf7S9f+xMTc7EBdXV0YGRkpmX04V+yzd7chdYi/s663rM/K/oHQAX4/qRArpgeLYEn7XMuF/+neIfS4/dEx3nOUFHt3ztR+UNHR72eBDTFbesIQm1dUDZPjY3w6jtMdtR9GAD4MwycMw4sheBEd+zCCN+MeWOBI2z6/ygKsqBCSjo/H50F3qHvR3zFJx07ToU6oqEIDaoVlqBNb0VG5GZYpK4QpYG+PD3uR/BGc1Hw/NmMWgeUVc31yT5qg+JLFqwYny6Ao5OxbuH8e+y8dPoVBW/RcJ2po7M/trtQ+tI+MoSZD+3JoDHLvC3D0vjD99ynJjdeVFvzx388I4YwvfPPHcLrc0fIT90HT4J0YS1ruYu+i7BpNeMdsdACm2Hk3wYSrcBUur7wcnZFO7A/tx8HQQf6tNZvFfgubJ5rwh93R7+74dT77XZr9BhKpcFdhWYWICrOx8+wN6xhIaEcuzDo+7ExKIuCpqoJJFiEJrKF8dFl8zJYZub4KfY9m91mT2wQffGiQG+Y0pF6I477jOBw4nNe6jjgSJLRL7VgWWIZVplVwD7rx4sBL/PyqEBHRAEVj31xzB7Z8SpNwqXY3wojAYVbQ5IxA0RVE9NgYEYTVMPYM7sGgOrig//9z5usInA5DDazIeB90XYPqix7/Z18agUOeec9dvnw5LBbqNo4oPCRwE0SZwMTtG2+8MWlZ082fREXrTfyFxAQdsiBA1tk4+uOXdYGPWQ+8EqLTsi5CTpjmy/l6YsK8mDSwh3R0mo2j0W7vf+iPERroNbQPd9/xNWwVL0Z+I6BTC9Df++kjOPDIbwzZ/eQf/TFaFO8cAboQnDg1iHvvvd3QNje+4UZcFX3/Lzj+gDLn+lyIZU1N+MSlqQWk7IkJpLxRwQyzA7aFSLVhfxlfeeetUJkQvQjYR194lsCqaMkC8WxENYS3vOUmaDxFWWawD7wv3fomFINwRMLbb38/VO+Qoe3+6r1vgK1Iry7fve/neOGF5I/qhWj56BZUXsLuO0j6YMq0H+3F8L1fv4Dh33zZ0Daea1ei6b3G093ngu89sxd//7W/N7SNfa0T7X+V+cdYNgT0AB9GtORK42BfC/7mM39jyJZzgxMtHzkfgiyxjuj5ILAxq9KbnteTp1OQ8qNbmP+j+5+fOIgzX/uoIX8dGx1o+VAL8gFrrMKPrRrAmDqGzqlOCAEBui5AnaqG4mvA2fueQrCr35Bd90XvhHPrDdCmYmJ87L4pOqOZPNg8XzKd4SNhOvqHWIXxzHxSmsTYtDqrYk5y6hh+6AvwH5upjMsE+9pLUX3DJxNeIXTomgptyj89z5tMOcwQRCmNnwk+sv1bIFsJe96pPmDixZ/Dt/d3hvw1N65G4+3/mpH9RCTn4rNNTh15FsO/+pKxjQQRrZ/+ddyzmH/xdJzxh3+8a5F4Zhx2DjRoU4GZ9QR2DqzRYzurxnz6PMws4hPhgU70//AvDO9n4wf+AyZPS9TPaUUh3iUO69AiNj+9D2w6tl/xdXR2DU1E14ldL6IjPP0bSLz2+S9CYK9FYfR880OG/a26/m7YVmyBaA/Err14KtQ4M/NR3+MSScLL1/T60f3lFWf+8SQ7ol2dc20P/PjTUCYGDPnruvA2OLfeCM0/kdCwTIDojP12En5XKe8Vsfm094mU9wgdokPFyK+/CP/R5w35a1u5E57rPxYzo03fI9T4+Y0dS9Huj57fOLMj1ZJmkqSU5ALZtcAaU/knMLnnd/AffNyQv3J1C+pu/lxsLsX5jf0GNf9kUgMA0e6DIMrTxzj5/hY979O/v4TzxNeLTU8dfhqjf/gvQ/4yW8s++Ys0/qa+frn/rJFo4vXpSLx+kgpImEz+W2TwJAZ++hlj/jIh6H3/DtE8t9ucv3jSB8kuzv2omf2NOr0Psedk7DoS7Qnrzbr/xO87vffdadhf9puzNK+FaK2IHoNZ993Z9+PobHydufdqLruKIYhiP0RrEIqvAqrfCdFWMdNFWux3Ofzbf4PG7iUGcG65Efb1l0MP+JLOGbOf9BubLidxXofkGINcMQLZOQLZNQzZOQpBUqBrAkaefR+gsQxLGrSAN+k6F21jGHvsPoTOHprj06ovroKlIVkw0EIafxfUwnaI9nboigNaxAk94oQacUAZ16GrDkA3AWIEsnsCoqQAUhiCGIEoRfhyQQwDYhgCX54wLYQRGb8Qindj+veIF34O37657xHrvrEuei+J6NDDOrSIxqe1sMYOJMy1a6CzwATNBOjseJhixyU61lQZqjcEXZMhSn6I5hHI5ilI1hGI8lTac/fjU8PQAjMC92x8h57EyMP/krSsYlsFmt7bhMWi6yK0QAsUfzsUXyvCw254NQvizWklp9nwexB7j+j7/ifmLDeJwOsfc8BmKk7E5E+OadiX4hNFi4Rw5l9vSbnNX1xkxleuz/4b06FOoNU/N3hm1dH/whnbWhzQ23BQa8cw3IbeRXu+fReU0Z605QqyAOdGJ9wXuOHa6oJoyY1A+6tDq1i29rTM8V9QILmmMPLbf0Pw1O7Ys489wmbUer5MTJhmy1nj0I4dqLri9limwfh9VoXqY+9B8eebAMnJ7kmsnoX9eKebmUKLuADNDl1ToKsRlhaSv4foqgKoET6OzkcAvo4CTQ1CD44h0LkH/hPPQTSJEMwCRLMYnTYJ0+PEaTYW7RZYWlZCEFUIErtnaBAkNq3zeTaGxN4jwhBMgGTXwXqSM6kmfjy6v6YjPKPrZoT7QqDuzfn7PVWpKpZN2PB8/xWITLZjCDa8FAxAkGVAikCQZAPfSjYA0UbrU0efx/BDydkc4kgVElo/2QqTh9X2p0cQFVhbfgD/qY9Cj8SboWTOxz/xF1C9w9Pzv/3tb7Fq1SrDdghisZDATRBlzAcqr0SjfybKt5BIqvFWW+EJAbrbGxOgo1HNyWK0kiIyenYE9Oxo6Nj8AgK0eYK9KBhDDeiAKVm8KhRyJNsU8MXqS9X4x4BegGjd9GT3gsviLYvxqcmiuu3mCviCmVfisJbBYcgw8wYahUWElb/IGyU8ZWFfLygGdRbjH+WSNX9dFyyEnkUULK8YLRKSzfi9yVQ1/wdbPtE1489W0SpCrli4T/Z8YK6vNryN6i/8b42J+rKTVQgPQzQZvyYEsw2So2rOI1+yuQx1UzEf00Li7OXZNHQTJIgm6xz7eiS5kZNosefM/4TCjW+SbfcduSBHZSeL1LP+Nl2UBj2cfF5Ec0zgzhTeICEL/yQZgsy6vskeLhCLyfdHyVk1r/+sYjobBNEEQbYYPz4Gf2Mp/c+iPNFsg+z0QJ11hCW7O6/+c9tZXMOCyQq5onqOfUEyGzq/2Vw/7FgZRZBMMHmaFrZvGcu5/+x3Y3wjVuFuNX5+WcX+Iq8fJYvjG38eiJa5Ip5kdUCyOjPfB00zdA7SPfsWQq5shLl+ZXbnWIhANA9CtAxAtAxCsvbzaUEam27oFxy4Ecrk+SntiyYLjwo25K+7DtbmddPRaXHm2Ge+WQYgWXsgWnsgWXshWvq5WJByV0QdtuUOaMFlSdFvifbT/eZY5N1smNBmrmP3AVZecgamXEUfqlMLiBTCAu/0aX9a82eM4v5bZ/lvX9h/0TwELZBZtqI4/hPxBoXGYOK7GlgG1d8WHVi5ujnh9zV/JsNqTOAC8XVEIONRbbuhslkk56u9Ki5vLU51fjTf3Fzmy5STGI2fS66UDqDWdHB6vlf34DWtHfvVFXhVrMURbTnGMM99cYHnsq7o8O7z8oEJtBWbK1B74yZYmuNBLsZRA83Q1czu1XHMla/C3vEsXH/OjvE6gyWy+qGvZX2PCPbfhMjYxbyhLW9sm8GjVrSegLnyp8CVbG71vPZTM//vJ+p/fC7ZZu3bPgR1KlpmpsgVr7EmMsglHeEwrvAHcKU/gAn/atwR+TR7UYHJHX/PGoNFDUPWIpjK9ptBTl/fo3pVnL3vLJZ/YvmC9Syi7Id9+feiIjdrGGXEh1nfsQRRLEjgJogyRjH8SZeaaAt7LakP6JnpFAI0NJgk45UMzfpuhCZ+j2JgzeJ2GI7w0PiiIPqNFxweVYHKIgncoSwaPAQLL7zG0dQsX9SyrPxZLOOYQkQ1Xjnt1SVUC4U/zhLP4268+l7lrYkXB0v9pAoiNEGCxj7Rhfg8+1wX+d8ntRBvqqAKEnyyE/7KJhw6+n+Gy1J8ItRgQywiIgRBZKHbhTneumr8WInW4vWdJMjGGwuZqor3GqtHjN8jdJaPsUgIUvqIl3RovuLczxi6akV4MJvyiynAGt+kqP2VZVN2kZ5x0bKzOsAoPYrjc9bXYkke4+KQVSOYkqOY97RsBHK6fpdGAyeVR+kygTgqZvdDYkK2eSRlNpvER5HOogsN4ljrQPUbqxEZjSAyEomOY9MsWnAOTMy2dkO290OynoXIxeyBWBaezGEiOBO4jdxPmaiWTSPQnCAu9G2Zwt9YVyLFQDTPRBFmCkslHhlmEe7zf1PomomL2DOC9rJodHyG1GACF4pHcaF4GBeKr2OVGI0a3qOtxKNhYwI348UzxRO42Re0UQr1CdQkjKJJGsV14qvoN0cLPa3V4h8i78VB7FiUbZaNYPKVSYjWlXBdfCME/RXIji6I9i6IUuYZ/BSD4mvxn1XZlF3Eb17ZeJdaWmTxaS5ZptRtwdC0qL1Midb5HNRW4GORP+ONWeJsGTyGNx78HdaNdfP5kGhCsLIRJytb8G9b35lxmbMbO84mPBBGz3d7sOwj8zx3YrBnsI1Fcp/+sKF7m9FGggSRL0jgJohyRhmEylrsJUU9KykioGP9PE9PJ/QTHZ839JIiQM5C4FayiPLNFRbJ+Icjy7JVDFiq6gqb8Vb/Go9mX1zfptkixFLXG0GNRLI/PrP6fTHaJ9XEfDmj5oH1ibvYKohs/Ne1KYQixlOj+3QTqoXsorbSwXyVbW74JSsCko2LxKOiHBWQmZgMCUGJ7d9zhm0/6bXDs+7imC2Ji9HTdmcL1pi7nKXfyqQynqXZSoS1Vh4MPGLY3/HnHJCrPjlrqQJdCEDggneYV5pFJlj6LYVPC6zBgRgbs3m+PHlaECJp1ldm5sW56SsXQszw+4S1vp5dEbTYPqkEk3HhX84ygjsX/mclcOcofCEb/4V5Ujqmg/W/HS8nV/0SZuo/rziEsW5OGLYVozC5DkGQWqArM5XeuYx+ZrYkR+WcZbmqzElvHzm1n68W93nzPytxRSjaPmQvGC/+WGXnf3b+iixqlF1PBfmNlbj9bCK4U/hF94jiUur+Z70PWQrcos2ZcI/QIJjGpwXsuJjNIm9ZOtps3iOE4WWQxDT3oDT3YUuLBa7NqYVxXd8NXT0GLeSCrlRwkZ35l2WAXRIs0nve45/CX9avrFFy9Z7Ov1Pmu0ekiDhngvxiydb/BQXuNNdwsCcI+6rk7yY1oMJ/3I+pY0FUbP8ctEBzxtXnrHvANmcQG4STuEA8gp3iEayVU7/TbhJOwo4g/CnC3ePdOKRid5+KekdCCv0cNjZjtupnBXEm2pdYw46UrqX3QU34BlrIfi5ILKNSn8DZ0NrU94isGk+yui2WsvsyRLyXAV6NN3rRlBOQHccg2k6n7WaKofrWLFzErHuE6HQU/FtsmiwCDPJRV5CpfVE2ni0t8ZtxIfuJVKgaLgtEBe1LAgG4Zn3rn9Vr8IHwpzDF04oD7pAXd732a1x1di9Udu1NZzTUIU32Ga5HzCRzTeBEAAP/O4Bldy4sckv2blibfoFgz7vnzcCZeH0KNuONzAgiH5DATRBlTGXoGUSCxUiHqsOaRZo4Hp0plJLAXbyWiRbJeEWKVsTIq95wFi+ai8hAIC7yBXoi6/TouTnGRv23a9n1++038BoQFC3wSzb4JXtsSDVt46I2E58X5geG/T0dMWHC0YZ8E+3rNl/IEPQKQK2Y7nsrH4mgI8PGj68yqUP1LwekIAQxAEEKzJNqMbNrlPWpDM0CXbNCZ11XsHF8XjMDanQ+1DN/KrJcR3Av9iNby0LgzuWJNuq/IBlPwaj5o5kW8hGguZD/UYH7ZcN2XVt7YXL/eLo1PrOjhRqhheqghWuhhWt4f49L+x5RGPuCmEXXIRm+R1SKAbQJ/TBBwSgq0KU3sh5es/A0oeysQuSX7jlIX3COzBj1P+sA7ljKyhxTDr+xfGYhKMg9Ioubf6bb5OWayUZkzrodyuL9zz6DR25uEsb3wdj1K9pF2NpscHSchKW5d1rQTieaZv0eoVbNsy+pj5WpOn09Be+6VvZClFkK4tzC0plPl5PS57n+LhRZnI6ciEnznKt09wjWh24uyMb/bCK442nK3TvcmDo2hamjU/Af9SPQHeCf9SwFsGND+rTnTvixVjiNteIZrBe6sU48jTXCGdgzbEBuElRsE4/hWe08Qz6/2qshrCJv/XBL8xz/eL/Ni4ngns9+roiX8Yh6ESbEdBG62TeenPkNS9DDrN91NlzDUi1CdnRCch6NCt6myaQMVdFvnAxKSbhH5Oc9K9NzkMW5EvScCtopi0hjXzAZv3ezxkysziKxYUI6+82hCK4JRkXtzcFQ2oSeY7oT7wvfgyGwrrN0XN/9Cj586GFUxIJSpBT3z7PO2qxSlL+/yoNRVcGpcBgnw2F4Z3VBMvHCBCx1FtS9rW5BmybXa9DCHoSH3jR/2bFrUrIYD6ogiHxAAjdBlDGLjyXNHpvJeEpqRS9mBLfxF7BwEdPNjoZGDG8zHmACkrH+fnKFVwuXVCKmbHvSloqUjsmkK7DIEkKKMQVtHBaMye4ZkVq2wy/a4ZfniteZidZ5ppj9v54DjL8QgX3NR5MX8sjxYILoPTMGW66buEAdF6qjwjUTsi38Iz6a4mrh31Ow70nD/p69rxdS5T/yltqCaRKCPDE9HR1P8EpKoykkM0FXihfBXagU5ex2pofNECyZ379FTYRTmf8545N90FKlAE1ADSyHUSSHBJN7pkJRNE3wAZjpm0/XRehhDxe71bjozcd1vPHFuZRCW1hkH9ws4oiJ2G1CH1awsdgXm+9HleBL2mxcd2CXthq7tDV4VVuD1/R2hI328VLACO7cULwI7iwLznIzSvFcvtdwiZHVoaLjm8vrV5AEVGypQNVlVXBucsYEAta3aX7QFPt0v8epHUojcHuK08cYi1aPdlUkZ+yvXFm8KtsFGyOkSqmeJ8E1c4GbvV8ae45OvDiB8efHUVtTiz/52J8AF85eY9f01GBYxyomZAunsU7oxnJxaNF+s7TlRgVuJm6/cEbFFSskTIZYIIPO+7nmnxq2SugsexqXogVouhDNZhafj01H52em585Hj6OqR7vwinflNaEb66OXsa9fw5dfCEHVomI385NN1zoEXLBhOTbaRmBlGcrywA+V6wr77q7ZoXg38SHEjqhlAJLjGGTnMej8GymLOpUcdNN27qQozybAS+J9Twty8vcLQ4toCHQFoB/24gerVVxqVxc8IkHdhA+F/xKdejNavIP4030PYNNI14JenHUuLEDPjuBmT7M/r62FnHBdDiszYndXOISX/H4cfWgQploTqi6pWtCupeZp6JEqRMbn3AznIJpJ4CaWBiRwE0QZowpy0d4tbFlEcEeKWslgPLRuKDAB1iCvGPiVuS9fS7nvv1KTJbMRuHOdWssoTqsFIZ+xKM1ntGbsWnZB3nwiSoxUP1QmYKumaMQ5lha6okOPeKBGPEDaJAYa/1hl/XHNFcK9XPhl0c18nCZaPaXViK20BG7ZeAQ3Y2LPFlhbl82k1BfDfDo+nulfPgxBCMOpyrh+8NJ5bf6h6Q+YNM/fPxrvo9LgPdXWvvA5YY0dBMswRMsw5IrXk8uMVHChWwvVxsZRATyati4TX0pMvDJwfDuqBNy8zoQ1TT5sNP89F7TrhfGMt68UpnCttJcPjJBuwn69nYvdbNijrcYkFqgwzSILTcn1cV7MK4KE6gJQWo1gSo4sGocU9R5RYsyXLtnSbOGiduXFlZBdhati1JXs+k01e4rUZZeoQrQMQgs1pVkhdxHcheiDO1VDOdFcvIAF9h7P3vd1JTn9+0LoBoIW/tb0A9TBeKDBfLA05tnw4d8EMDilwz9LF266899gqmpEwZnndvrSWZUPqai1vQuulVuxSujBJrGLp21nY9aIwMK63loErP/jfXoHiocALdTAh8jo5YuoFSves4o1DjZO8TJHZpt9IzJ2ASJDnZjc9QIiYxEo40p0PKnAKQNPvc+BbXYpo6ykfxr5OF5T2vDeY/+Hdxx7AqYMuz88W2Ewglsyo8VsThK3GTWyzIft9hnx+f+8k/jc9/thqjLBuX7hoCdLw68QHgoi1F8LPRyAFvZDCwegh6JjPh32I3j2kCGfCSJfkMBNEGVMMSO4rSbjAneANeMskst93tOGt5ng6WUyi/hirV0jogxFMCEiyFDE2FiQERFNsbGMiBCdVmLT0W1iyxO26en5rWF/O8em8P2W9/IX6+RXoOiLdnRZwt/0+debmY4iJFV8JG870rnPsL8TgRB+2fjWpO+AxJRYs9NjJfrFRtE2yjpEPdpOmY+np6Ptk0VdjS2bWU/SNfTN/lLMsJJsQHJDEiWwXp+FhPKYTd4OWo9Ps/Iz/8Bh532+9OBTMGMiiz6iCWLJkLfofJELlGzQ0DKfA9FodSZ2ywmid9I4NshT0LMQuPOSiz4BFjHPWp/riiM6Vu3T82qQibS/N2wzNFAHuXJ7xuubhABgnf9DNzjwZgQklhkgwNN1SrYzXHCOo4Wrud9GK3PsHYtrQS6avHyAozNpOUutnyx810IN1/FI8KSXlqXWAiSHrK6WcO917H2HRXNlVxGbiEWIYKdwFDvFo3yeRRcd1VumI7zZuBc1pd2AIFtKrC9fIjcCYVpIgCWWCmmu36rLq9D8QdY/ceHRIwsImUssgpu9p7GGlkgjcKcSjFlUvOpXIWUgrJxrEdwae98N1/DuZ+Ld0OhaFu/nAHY2S/j4lVYsHGOZe84XOmFDEIEM65XinBovnxdPBTJe11vxutqKX+Aqvox1c7NaOINN4kmcJ3ShWTsG4LAhuz9Sr533XTDdc7mtUoDDLODgoJbj53Jxu6YoWNnz9EG+NCO4gfDwdfAdFDD6xMNJy2UReOA2O7Y1ZXYP/lvl/egbqMLX9/8rWnypMzyIrmaYV98AuW49IFsBJQg9EsAdFgduhglT0OHjAxKmdT7tVRUcU4IYVUPQgj60mTNrsPWGCheWm8z4yNd7YPrcaljq5j+vLF27qfJBnP63zrL+xiXKB0HP6kuLIIj5GBoaQl1dcnqR559/HrW1xlpkGSEUCuH06WSR9siDf4A+eQLFoOHaW1HVbCzFyondexA5+BKKQcX2K9CyYYOhbQZGvDjbdRqQZOgsYl2UoUsm6JIcXZYwDQN9fGfyCtniBJodxl42/REdB0eLU6fmsQAdbmMGWaqtPYvP+pXE7Ade/Ak4e7ldBjZVGz8Au4d0BJWFy4tOs/y/Gh8ETeN9mzJRHFpsrGtcBlfNNn4txU/ItIkE39mfrm427u+eIR2DCZGvqWwn+Z9iP+bbT+5bmmvqqmbAabAS5OiYjs55Aj+TrM0yPV9J6XxM5PxqoN5uzN8+v45DBn5zuaTDBbS5jPnriyT/5oQUx2T2sUr1G+KXdnw6xbLp5QnLGuzABo/xe8RjZ5ETZu9X0nzCRHzaaQJ2LPBhOJtxdRy/HH4ZqiZCgASBpf7TxeQxRAi8pbyUtGz2NPTo30WYIOsOSLodYkInCUn3Gt7PF3Brh/F7xDO9Os74ko8JGyfNJ0yblQAaJ+cXuIerNkCVbUnbRjAFr3gWk9JpyDBjuXIFLm00do/4zvh3cCzCKr8KAzveDnhgghVX4sNY47Kg0pK5v8PqMPoCAfT5zJBg4udSghmiLsfOdfI9dPY5iF+P8fOBdOvqOhzaJCqVIbiVYXhlD3ptq1Fvy/yeZg/248oDf4ZC4pWr0Wtbgx7bGhx37oBsq0SjwfceVdexP9Z2gh3L2ferOfeqWfPs77OPbdL0PH+zm4CNBu9pjH3DOkLqXH/jvk6PZ+1D4vrxZBHxdRa6hhgsk/AVTcb9PTKmYywW5JfoQ2L5cT/nLFvobwvUUlzYwN7XjPncOaHj9KwkSCl/QymWxbtjnH3sFvoNxo/LSjcM3SMYvVM6jownn9v4YUmVFEQw+C4/35+Zv0bfIyZCOl4cMPY+yY5r4jFNPM7x4zg9TjPNqLEBayqN3yNeGZjr02yf59w70tgTDLxnOmRgS63x39yuQR2j4xP46p+9J2n5J/7tx7A5kyOaF6rom30tzb6fJP6dvUdct2yuv5PqJP5p9J+KkinMFdyKxqlb+PN49m+R8dYVgHvWb07VVfz18F/n3V9Zs8OhNcOhNsOhNfGxRfekzPgVv5631wFNaZ5zET0Cr+adMwyGvegPexGGFyHBixC80DPpmkcX+PuWDMuscXTaJJjhRj3W4rK097tU7xFT2hSOhY9xfxUofMyndQURRBDWIvCrEajRv/L/1di6fF5XoPD1w1AQhqQLqNctaNItaNbNaFFlNGsyWlQJbtYYX1cgaEqs0brC53VBwiur75nZ1QTf02Vcq548iLYj38Q3hPfNe9ju1v8n5xHcjCc7PoP+ik1JDrN7YYXZ+D1iPBRNV54pma6a7vmSuNzoM44RUPTpPrrTqRNs8eTEBO56f/J979hfr0OH3M+Tp88mLNrwv+v/C4poTXuPZ3VUqfoD33jy21g+9ARGnWtwuu469Ht2QhOjDWPGQjomwzPvKYnPKUbaZ1aa9/Z0607/HcAroRfxSOBXKAYXCe/Acn0rP0dKLMV84nSqZSPSYXQ7f5BxGaxxj8z+CTIE3QR/RIausWykJug6m2Zdosl8GnpsrJliXaWZoUfc0GIN2vnAG0ob58J64PY1CdeDruO8rm+gZeTZjLb/uXIDAvtNuOD4q6lXMNlhWfdWmNqugLCIBq3dawOYqItWOrqfeAKehzMPfopUV+PIHe/Ev4k/gU9PnxV0ubwc73O/D07RWBeXy5cvh8VivLtSo3rLJZdckrRscHAwr3oLsfShCG6CKBPYQ2TVqlVJy8ZaXka/sUaOOaNjRQOqVxhLBySPDOC1ma4ykxBEEZLJDImlYDGbo9Px+dg4Om+CbLJE5/myhHmTKba9ZWaa/c1kgigbvx3yw33hVpQS5y/WAP8i0JPGLDJ57nw8nWh0mov9JoMvmpqKTXWnksrjwi/3Q5spL2F6Zp3oPO9/yuSAJtt5+ZrJDl005y0iZtZPcMlTcv6i9PxlychKiS0oLdasRkmxAztQzveI8fFx/O538wvct1/UisrKypxefZquoeeVnqy3z6pMqPAi2iLkXVsaIdtmRxzPz++P/x5PBp5MmbnGLJr5YBEtcMpOVMgV0bGpYmZarojOSw64NQ1VQS+qguOw+Qdh8vVCnuqDaaqPj0V1Js3oRMfbMHjhmw3ubBv01yQIGabYywUVygjWeF/gw8otVyBUk92PfW2J3SPouZxfStHfK1BabN+IkqIU7xGjo6P46qzl776oAx4PyyxSeLa9vg27xmb6Kc4H7Lm33L48aVhmW8afg0YYCg1BH86tuF1lqkK7sx3tjtjgbEeNuaYoKfDZ+9CUMoWxyBgmIhNc0LdJNlhFa3QsWflgEkx5828zNhvfSNdhGTsKx5kn4Tz9BCyTJ7MuXxPNWLPa2A9bDNYCR76JQsNE01D1RqxqbUFLY4ndjAoMu+/NWfaW70FwO2AeOw7r6OuwjByGdfQIzBNd8K+6CdvON9a3OUMM+9Cy+wU+7fEd5YPSU4XJjpswsepmKM7CZ6xoDnlwYXArF4LZP1FgDZ8F/htmzZ2537OWJY6n/6VYxmANfti9g43j0/F5j9kDh2ysHm88XIeuqeXcBvOLfc+YRBMf2PcNu//Ev3XYMi5sL3A/YsEh0b7b9ZiQzsZ6TpPAmSUBTsvMh1n1vq/Dk4G4zXwY8F+I857uAiZTRWMIMLVeCvP6t0O0GBOMU9HQ2oS6lqiIrD7yiKHmWqaREWz61k/xD/d8CH/l/SZC2tyuKC6qvgh/uvJPYZHyK1QTRC4hgZsgyhhrhbE0R4tCEGaEZ7MlKwGxaXU7qv74jyHLEiSTDFkWIcfGosii2lhIiz495n2rxiJdeRRsiuloZawv+e8hDUKQCaDsb1F7U40XQbUbizi3jByC8/STaf2YXpby79HyeZrtWfs1vX/s73qyn2y5pqo41nATfMui6ZsYrLUaO0bz+jt6BE1PfiIm/kbTZM8I08yvmWnOrHWmxeUsmGx/CwYu+ltD2whqEK2/fafhslhUZ79v5jWPvaI2ONmHQOwFXpCmRW8meM8I4DPTmsmJkc0fRTHQNI23Skwkk/O7VCD/i2u/EGWQfbK/GFgFxcDAQE7t9wX7MKVORe2zio8JZU4flkKKCI1smG2fPTvtI8cQbjEmcIfDY2ntT41Ngf3Lxn+npsGtanALKiptGtwWJ9yaHZVsmabB4j8B29mjqDRVZn78WbcpzmaYM+jOZfYzGLOewUbRJAtCVWsMXaNScAzWof3RZzx/pjugy7bYM97G96ecf2Nkn+yTfbJfyDKurrs6SeBezHOYCbHL7MvmiNnsmRUXQOL++wN+sH9G/JcECW9qeBNGwiNc7B4JjWBSSRYk5vOfCdezxWwmAC2Vc8zEJIfkgH/UjzrULe1rVNdgHT4I55kn4DzzJEy+nun3iN5FvEewKO5s/FctVdGeWBbJfO9BTNAO1mxCoH4bAnXbEKzZCJ2lKD6H7kG5tq+z98SajXyYXhb2Y2hoAHrC90amZVScfBiiGkxaJofG4Dn8P6g6/AP4my7GWMfNOGVaDSTYy/cx2lC7Ycmeg9m4ZBeaw805tc/u/yyTCIu4l7n/wzm1P/v4hF7+PoL7/xu9C9yDwl4JPa8tR3BWNtU4YlU7rOe/G1Jl64x9XcOgL7nBRp2TZfjIzH89IbODfrYn5T1oWE2+D9ZI8oz/Y2No/vtv4P994hb8P/wsKaPJ25rehve2vndeX0q9vo8oT0jgJogyxjEx008ie5TJkg6TFO1HJDqt82mTqEXnRTav8fnotBqbViEL0bFZ0CCLCkwC+5vKx7LAes1hYu2MkHuq9g7D3Y02n/wpqo78FMWg56r/gN+owD12HJ7D30ehYS8sUuVYFhsqkIO5T6mVGdn0O5ifFyTWUEAKT/IhHaxCPBuBu2bXV3ir4WilOosYj0aNJwrqOl8eE9enp2MieyxtL0EsCTQVYsQLKTQBKTTOx2JoAkJwHMpAL0RlCppkhWZxwzXZDN3mgWqpnB40s5P6kyUKgl/xY41zDbqmOhFGpKBlW1i2EAvr49wYqr8/L/74RJEPPWk+83RtAp8M9icJ3JkQdrVmJHDnGlb5C9ZNhwF4g75n/nJe0Xz6mRwTvaefx7INimSH4tNjlc4sTERBtYulko9AUFk61DAEjU1HomM+r0BQwxja+smkStZMcR/9GWQ1iHBlB8LuDkScTXT/JAiiJNhWtY0LGrOF4vlgEXsttpY5QnaNpSbjSv5sYGL0He13JC0LqSEueA+HhjEcHsZgYBCnTafhU3w88rDZ1ozzlp+HlRUr4TIZf94TCWgKbIN7Y6L2U5ADQ3n41mddfqmAKBl+z0GyZrZo2HdSqHIVRlZdhFDjdgSrjQvahHHYMdZlexYb6nAf+2XaP7PgD0fv87D1PAdVrYO37U3wrngD/+4lygNBCaB211cR3P+LeddjsUcjR5wYPsxSos+NghYsLlg23AzT8otz76Q54RnZYyyDmdy0DcrQYcDvx+qv/Az33HE1vuh+nEf2f6jtQ3hT45ty7y9BFAASuAmijLmgbgBXaK9yEVoS9NxmZWZ65TwKdnbRvkWsyMsm7WYR0o7NoJWWv1nlDiqev6ySOxssY8dgG9qXdbkswbsi2mALWWIV7lHRu7a6EjA7k6PR4uJ5rFI+UL8dumTOumwi90j+QcjB0ZlsEpoKXQ3DOjIGgVW8sGWiDJtWDUEy85T6Ouvfi4+j02zM5wU5mupfiM7n4/dcdfA7cPQ8FxO0JyCGJ6NZHFI0slFnRSbUn5rbqpllS1AtbqhmNzQmeltnxG++PEEMVxwNUA2meM4JLGuGGoTkH4KsBSBG/BAjUzODknp+dMMHEKpeb7g4e99L/MM57G5HxNliuPKNSM0aSyPuP/gEFF3F67IJz0RkHDWb0W2ScVqWMX8sz+KwsswqZuMV3iEtB2FCWeKQjD/jjjuq8ZinEssiCloUhY+bFAXGpGfjBGqNpzplv9N5/66GomnbQ6kbC7J7XGjWPc6TYfQYawyUDe7jD8LmPZlUKR52t3HBO+Ru5/eMcOVKKPb6or7PCZEp1O7+KqS+boihceiiBM3qgaehFbqjjvun2Guh2Oug2GrLviKfNWqQAsNcpGGD5B+GODUI9J+BFBxFsHYTxte8u9huEgnY+l+Bo+d5qNaq6GDxQJmeroo2Ni3qN17h8at+PNL3CJ4cfhJ/svJP0OqYiTTLBJZi9sq6K/Hr3l/P+RurNK+z1mGlZyVana3TQnajrZFHUy8FWBrWJlsTH6aj06yzotMqKTptMfdJ9rvjovbZp/k3Rt7L1CL8+WSEsGvFogTuiKMRocqVCLhXYUCvi77rOxp5YzWFohtLAtvgnozT45sCAzzYperwDxGq7EBV6yaEa9cj5FmHkLvDcONMwiARDeKwApgEaO7cPEsswwfR8thdgBLEfM2Q/cMm9L9aidBEinMsSDB1XA3LmjdDMOUneCUewa2Hw0BLS1Tknlj4vmrquAbWTe+EOtoJ/wv/DkRC2PrNR/EX794Gy/VvwnbP9rz4SxCFgARugihjzCYRNimf1bq5FYz1IkaqRNNzG4OJN8Wi9BoQlJYgz0TkbGDC12JgYqKkTkEO+pKWO4MLV6x33vq4YYHbefpxmMeO8RbO0WjzZNE8cTpa4VfkD3NN4SnDWEWJoIQgaCE+FrXYvBodRPb3+HoxISP+N7Zs9nziOnokBOuEP/Y3hae5a3To6H77w1DttYbcZWnMqo7+LHkXdB1yDtL3svtPVASPCeBMDGciOOt3HhKmlr0H/uZLDNlkqQFtw68hVzBRnwn8XORfgMm2GzFw8d8Zsm/veQ7VB76ZumuIeBcLWnIXD+zZpKsa7N4IX5dfJ9ANnwPWWj8bgZtdE/b+V6b7CIy4V8yIV1zA6kDE0XRuCN+6zoVIllnEpnTBHBqBHBiGYquBt91YH9G80Y8ow6Sq2BgJo8bHWtLHUpaza9Er45TVjJMmGV0mEx9OmkwYkaWcRHCrLFtBCQncFYrxKPfDFgt+4E4W8kVdR72qokXR0STaUG+qQp25AXKkDlWVq+CQXbCOHYVd6YJ9eD/MvrOGyw1mIXALkfkF7lSws3HWJOOMLKNbkvG6LGBKFFChaVgVjuAyWUGbqi74JsWeKYbRFJgnu5Pa9bFnHetPkg2JqLID4crkewarSOUNhArw3sRSgbpPPIigL/k9v2ryxZT3UNbAaUbwrotN13Pxmy+z10UbiCw1QVFTuEDNhWvWAIqJ2P5BSFzIThC0Uwg17Dkfjj3nmdhBZI+gBCFP9fH3k+jQC9NUL5/2Lr8GYxs/ZNimbXAfqo78eN4MD6qVZaSJid7WKijT0x5ETG5YpoRYAz1X9HtQZffU2c+T2DU9fW3Pnp+fPWN78PLoy1wgdo+7YZaj/ZYyMTk8Ofc+89zQc/BoHt6nKYuOjvd1yqYT+zll0xIkKJqC477jeG74OV6W7tJ5Cu4nBp/AB9o+gGzSlCcK3I3WRlxScwkurr6YRz1T+tJzC/YdxRrNsj61HT3PQlrkN7Lh8nXFcP64sGs5gIVFInaPYJlWQlWrokPlaoSrVkEzV0w3kJialb6XKA3cxx4wvI0AFdbxY3ArxyF2PciXsVT04cpVCFaviwrenrXR94EFusgpKJoGUQtCk0qrUZcwrsC0ZxKW10YgxH7kugiY15qhrXJAW2ZhKUKyss0akjKBOh1qWMDgARfGT7C6wrllSLXrYDnvXZAqGpFXYhHcgtkM+Utf5NO6zwecPQu9pwf62bPAM88AvfEE64B59Ztg3XBz1E9PB2wX/gkCL36N7RQu+PGrEE3rgVtI4CZKlyV0dyWI8ob1OcledgtaZhEjYHVVNby/RfVXU4z7m01Qcg5gFYjVFVYIVVVJyxfyn1W4FY1srn8t++NT55i7zFDRTNjN4vfKoj8XS7b+K+zjxKDP9jNPwX3qkYx/n9P9lieNWd+mdqjT4rgdTtEajT6XzFw4No2pCeJziFcMjGZRKbn8Dx+CbeQQ8k2zqEfbg8Qa5UpMAlWzuEekkEJycX0ymGArqCqQIiUWo9YhYNLgPULNMO1irvYhEYVFeSf4VzXL91T+i8EJ3iVANjRaEu+HWfQPHPLNezzT+W+e6JqeZw0zWNYHNsypOHPNCN/xcTwKZD77uSJb+w6HA29606zUZqoCk78vKkp4z6L24L/APN7F012LaoCvIif0yzlVvx0TK24w7DMTxs2+npTXp6xraAoEcXG0uGkmRJGL3kzs5sK3mQnfMnpkGVqaa4IJALJr5hPKFdahmZyG778hLZIyUcls+/FluYLZarOJ7CQbOr9nTHM/G9kx6pNl9PE/sQaVQ0BkCLqqAyOPwS7ZUW2pRo2zBtV116FatKIh6EWzbxDN46fQMtYFD2tINE/DR3/1hpS+zXeNCpHkRmJxvILA94OJ2GdMJi5oswh/tmxAkqAnnHO+Dwn8iySgQtWwMRzCxlAYm/gQQo06yzc1nNFvJdF/9nuQhMyuH0mZ4g2RZjdGUs0uhFjEN6t0d7fD5GjlEeAsdbrsH4Ctex9kfz9MU/0w+fshT/Xzytb+i4w1LGIPR81Rizp9IHlpmt+LFJ7gg2X8RFqL7J43LXizsa0WTksNF8M1Odp4RO6L3jv99dsNNwCyjB7l+xwlel6tSrQBMBOomWBtPRkTs2PiNRO3U2UwyYTEe5Dasmb6t5bpPVqeGkDNgW/wdLl8qFjOM34kRsMv1WeAYfuayo83i5qLC9jsPs6fF1O9/HykI1SxIq1P8/kvLtDojmd4YKL6VF/adRq15Gsj8Rk2H0ff8XxGUX3Mfz2sY//Qfj4vjCTbVybnNmD/75P/DXkk8+q9pHtcxcxz5umhp/FHy/6IC+JGaLG24Dz3eai11OKa2mvQZm2b7jO7pK9Rsp+VfSk4iYZn/yqr+2guvjN0JQxNMvaeHnYygXv+hr49l30FY01rUguVBr9jFsO5aN/pdOI3v/nNnGXZPAdSwbKxsCwDubhGRS0C6+hhPkyXLZr5excTu4OedXxg72vpRO/FngOWMYy987H3PfYOFH/348v8/Wj3DnBxXoeEYNUahFouhr/xQgSqN+REiM/1NSSMKTDvn4J0MsS/G2rtyWnh5TMR4Mw4dJMAZYUFSrsVWgPLjGfg3iGa4W25gtePJZ5fVo3qO2ND/x431ODcd1DBXg3LxttgatqaWTGCiBpHsv8Z978tsu8v1g3DrP2y24HVq/nAPKy+6SboX/wScOgQzGvfAtu6m5JWl2tWw3bBRxF46T95o07t+/8DbXwCwvtuh5BBY7R83yMW0lYIYjYkcBNEgZiYmIAkFTYiq1bJIu12jpicGENQmfXWtwDOUPGimXw+L8bGjPVrLfpn1ZQXECUchNfrNbSN3Zu6wrcQhMNBw8eXVcpmS6YVTekIwWzYX0ZbODfH2Kj/rJXw2ISx64FR658wFl2uTPFhsYTNVehsjrYgNUKjJqIQvZSnOv6T46MIhY1FyFeEI3m5PjMhGFYM3yNsmhmeDNfN9T74NEtB78GLvkdMDhv2V4p4562sT6xcZ1GvbEhElSwIOJYj4GyF39mKQMUKBBwtiJireDrjYre+Z/cGq+8MPFNnYPOdgW3qNB9bA73ps46kOA+ibyCr+2+jqRJm9Bg6v25Nw+ZQmA+JhATglGzCyZjgHY/4PmWSERJFCNKMfZsoZHX/DepK2p44Eu3nGgtraDF2FiO2VYa261IzfybH/Q8ggLOhs3yYAwt0qmiCDBHVMKFOUdEY8qFeCaNeUVGnqnBZGjA62osqUxWPPMwU78RZvOx0cCH7tEnG2ZiIPWbgPTzVOfBKIl602fgQp1FRYoJ3iIvelskhTBm8fqsHF99wSwpPwj60nw+ZoqpaVr+1gLkWLnEQuYLd81h0fyYR/q9c96vo/c4AHa/9D2p7H0Mhid+DJqQa+Aw+iyuH9sF96ndzGhmGrXX8ns+GoKMZQUcLQtZaXpHO+n9kjabEjMdBnu1G1ELT47DFg2NbjTZ4AFbu+ydUDb2UEM3E3hjj0crT/0XHscno3wVIrNsPdi/MAmHidFbXb403uXFGNmTyjBnjDaiiz5CtoRDaIgrGx1la/8zuZVWoyuuzIJ1t1o/202efxraKbYZtfrz+41FRW2Hf1sX77iSWAiLqqjbANXawKO/pE6PDiFiNiSA+deG6qxHdhVAW73xEbqipSe7Oyui37nyYg6MYbL4ONX1PQkrTgHwx1yh79tpGD/MhsQ7HX9EOn2sVRpqugrdqo6H3Ppu/F+bgICyBAZgDQ7Cw6eAQzIEBmCILHBuuYbJ90GCaeB0VE68Dh74DRXZgonoLJmq2YbxmO8K2OhQT07iOiqMq7H2zG5alfpYKER2m40E+qFbA3yzCv0xExJ1ZBhXdcxEXuOPnNzIloX+3G77eFO+eLFPK6jfCvOoNvLs5I8T9D9YICDQJECMsWIY1TGBjPTrNl7GMZ7Fp1uOdDIyNZ9gd0ic+ieqf74PNlToblly3HraddyHwMsuIpwIPPYTQ0BACH3g/IMtLWlshiNks3SuWIIjFI5RWSuripijXyv74FpUsGtklRlIVGjXLFOWsoq4YqFn0p8qQ1OL4yz7wskErYh/jPMV1Cd3TeF/eBomY2ZdfcVCy6MO4mMdXikUeG8Hu615kmSE4J4/zYTaqaOFR8OwcRseVSdNTrg74XTlIlavrMIXHYPOdhm3qDBe040K2JbSIjgsTMIUWTmmfioilGrmCBfiviUT4kAi7C/TKUky0MGFcElEpZHf/DWabpmSRuLRo+mujDEXyk25TgYYBhDAgA6/xCNXECiQFOPlZfGrZp7Davjpjm6+pg/jX2txdD/MRjWCX8agjeh2IUw/iU4HVWGnL/PdmW+S9gRGJZSSYkEQu5LNpryjCrmnTfaZXzIp4YJWi2RC21QLZdTW+eEosaIOJ0EaxTs0V+plkbAkO8KFyZDfyQchan9V2TBzPRAzINdZA+gjr+TDlsP/f6DNBns4EktgoajyhQc1nhkfRliazRDoazXlOcToPL438H3bY1hnusml2xDZRQFg2BMULOTwJU2SSj+WIN/rNFevCJ9pdT2yavYPEliV28zO9Dmatr2vo2vAJQ91hjdZfmrXAHUeR7YiYPdPdMmm8OyaWccWUMC9Pd9MUX8aEQ8OcC90DEWkJW2txcuOf4fSaO1Db8xjqzzzMv3XyCWug5pw4yge/q8OQwN3Y/RBaOtN3t5EtsjKF6oHn+MDwO5ZjomY7xmu2YdKziXdVUwhYl27ugyps/dm/+ElBoKJT40PECfhbomK36kj/rJqo2YqIqQJyyIvRYw4MvVYBXZ1b5yDYPLBf9pcQ7cmNLjJFsQETGyUubmfcSF3TuQCeEbqOyiNiWnE7jtxwPqzbP4zgrm/z+735+ech+Hzwf/RuwFKYc00QuYAEboIoEB6PB9XVhalsi2OyGItwyCVVbhfClcb219ZjLOI7l1Q4HRAMnh+nr3hikN1mNXw9mUXjUQ65wmI2Gb/+iyjiy/Yq4/6y/hq1wlfwcSzOrO4vFl4lXnhYZUs2/spW4/3c5opKtwsRtzGfrfZoX2zFwOmqNHxPs/mbUSys1S2GrwnnlHFRPFc4ZM2wv67R3AjAqWD3Hom32k8tWI2tey+G2y4wZlSNwNH3EkyTJ2GePAXzxCmYJ09CCuc3coVVrNS47dBlY/kaxMpmIJ6FOE+wqs9lisqHywNRkThUWYfTWdzPfjQhQfWdRlAUEBRmhoAoTk/7mGApilxIj4uX46I0Pa1kISbYXW3QNr8XRj0ePZldw4Nc0Fbbhmpr5h63s8q3IiUxYm8uGxs2wiFn/k5beXCmj7x4BgF2nsdj556NJyQJY7FpJpzxZSITs9lY4tHlC5ajqlzojgveyxQFNqkf7ZUbDO2jWNUKZKctLhpPtcfwvcFiLc73EOt/3N3Ybni7ys78PSvmQ0Ikq3czsykLISkHmMITqHHZoJsyF2Ef6nkIz1gmoHsqEREEsA4SFBZwzKej4+jy2DIejBxbFptOXJ/99sIZRPEx4ZvhYcc3wwhuj+6Bs9sJn1L4SOgDwS60PnkrzKvegeFtf1Hw8ok06Dpq9vwr71qBDSIfj8e6gsh/VPHkpX8T7ZIlQ3Trm4Ej3zRcjmL1YKrlCviWXR3tliKDtP6zSU7+mxmZZFt0u92orMzGOlE6VCPS8CGc3fpB2AZ3w33slzx1eTaN3Y0gL9tu6BlsGmsDOpF37FOn+dDY/b+8S5lA3Vaeynyy463QzPmrmxFMCiwDuXsfMvkA9xGND1qtCUqHFWq7FbDN/d37W6+F+eWHMbgvfX2vHhiDHvICBgVuXQKUTQ4o5zthlwVk10w6A0IaLKMjGa1qat4GaBEEd3+PtyQ17d8P979/FdLn/h8E5/zn+Lj3OJbbl8NSoIYPBJEOErgJoqwpsQjjAkXj8bR4ghiN/psejFcSq+YKBKtWsxxvfHudjbntWD+O08tjZUCEzvszSS57zjQSl8fsxuxFfZcQrD3fsL+KvQZD2/4iFhkdPQY8JiRpPnoepiMjU64TbWUYP45p15teR4BqzTTxcSICum/8ecyXeMvG2LlLKDN6bFhZ8fM4sy7v81nxQ4j4IUam+DQfs/n4NB+zdWamWZ+HRhGV4qWsNxphEYcdl2LAWivze4TB33yhWgynQsgmhWZRI7iNv+KpluI12lEtxiuLovfc4sDuFUaxJPS/XQrH1+Q7i6an/wzFgKVyj1QsM7QN67d3sbDnOjtWsweNja2Jy6r4mEUyCWp2GSnqIwGYYv0AG/LR4kbE0YSwowGT9jqM2j0Ys7owZnJg3GTGpB6BV/HygQkj3kjCtOKFy2S8YUhIDWE0XDyB22M29g7RUrweerBcrDAkbjO+HunCrqaGaTGbNXLIB1wYlyS8hpln6bbTP8JfV/6zITuKo3iRpbwjRMMkv+P7BQE9sowhSYJT19AaicA9q0/lXBB2sf5cjWOePI1iIChFaqRpAHbHHJAlmHUdtarG++kOV2aeLeEPA39Av00HbIVtIMeiu43CoqGbbc046k3urqQQaIKA3zgdeGsOnqvnHJqS4juTfXtOJXyPTkEzVWBizTuM2RYEuE78OifdRWWFwf5VFUcDgtXrYR2ZScmcjoi9Hr5lV3FRm9dzUDQ1UWxYo9P67Xxg/XO7TjwE94kHYfIvvpuLVN/t4coOQ9tEivAuxro5cfS9CHv/K1zgzie6S+YCtNxpPOvUQohDEZiHItBf9kJrMkPtsEFttbCIIP53b+v1aDnxICo7pjDeme6dXkfwwM/guOIzGZerLrcgckEF37e8YxERepMHlt+OQvQu/GFkWnYhdDWM0L4fRRe8/jrUv/oMpL/7fNqgiaeHnsZ/nfgvbK/ajr9c85cZ9yNOEPmABG6CKGB/MbW1hf1IlNsuRphFLfAPhJjoyKaTRNUZ8TRJZI2tN3uIbjfrbzH7LF1U3GZV6wboVmMV6sKO98O39vo0NhOHBEE5Yd3U+xYTPZN8nitmM3nQsERY9xaEzn8L8kVCj3VzYO3ojLeXrAOWZZ7ic0lQn126RKPosSH+2c6qoQz3NhS2I7TtLtZRD4QwG3xcNAcbJ81P8VSTuUSyu1FXZ7x/JJOW+w+GTKnzuAGTwSgsR/EEWE+lG5rBY2ypKJ6/lZ4aOA36K0ptC67D7ru6rYrf33WLO3pdB0YhBMcgaEr2/ja2Q6s25q/srUKxsEuq4d+cw5/fNHfzYa9bAZNBf6Vw8QT5GosC1aC/ppGOOWn6dUctNFs1dJsnNlRFx9YqaGxsr+bT0WWVKaOEpNiQ6xhF/x0vRZ8XoUkIwYnoODSRMD3JK8p1Rx00V8v0ALMjuRtrAEaaZOm6bjiN7MnJkygWbrMbLQ3G0jzrN30TloevQ6gIWVU2VK40dm/QdfQ6q/C6VpwsO23WSsP3MtG7Co/bbTwSnPVBXsFSJqIw1NbWAAYihrxhL74jDaGvtpqL2mdNMkZnRemJus77T78kEMCl/iDWh8P8N79YpLo1Wb2bWfOcEnW+VOPZ+Gsx5677mEhMwGZpv9n5YmPWLUR0LPO/qYKAD49P4BNjE6iRfFAM+GyRi9PVDUtbzqirqzck3K2sWlkUgZvxqMOGdy/fDLPR+8PIMVhe+S9onpVQPSv5c0u3uKBb3YDFVdwuvhZqPBP2QgiOx4YJiMHx6Hcc/7Zj33O+5O+6pG+92KBk9m3Fjo3lso8bdlOwe4DJ4gjctTXRdylDrH0L8HxqgVt1t0JZ9SZEVt0Atf48Lo6wpifFys+USQQ3i7AtdFZGYilQB7Suh/+qT0M++QTMB34E+dTTOavT0WrWorbR2LuuaDKWfSeXqI1bUdPSngfDkaT6M22TF95O9gWWn7dMQQeknjAfIAuQV7lg2lAFad310F6qg+e6RkwO+aBNpg5k0cZOItL9PEytl8xfjscM67XNkDsKn91Pe281/D/uhD65cOZG84rL+TkIvfbz6ILubuAzn4Hna1+DvHx50rfk/xz7H/z38f/m8y+NvoQHhh7Axzcaf6ZlA3WHQqSCBG6CKBCiKPKhkCjb7+At3YtBLI7WGJXLoFdmHrGVzj497oiiYHUhfOX/W3g9FrkcCcQqSVhr/niFSbyyJKGihL3gh7zRipRIinXYtizixuzM6v7C7RcJ3iecaLBbAoOCeC4R2ReQwWMsSMV7zRJki/FroqIR4fPfB91WGROxY8Lf9HQVYK5InfEiXjHIxO7A2Kxx4pCwjInisWwfgqPGsL9CFlHqRuCNqMxO6GYHdLbfsTGb1xo3Gz++khm6bM248jOn2I0fXylYvIhdyT8Yy3iSOVrrJfDf/EPoznrojgZ+HWdakZ7VO0sukFz82QF3y3RDq/komiwgADvqdqBnqgcD/gGoeU7TmEitrdb4b00U0exsRtdk4RtprF92tWF/ncsvB079CsVgGWTD/g5VVOOT9TONdtmduFITUKUqqFIiqFJVVGoaPKrG06JXaRpfFh1Hp7NtMMJ9NeCvSTbhu0ov4HTMG62632rhw9eroqncLwoEcUkgiIsDAR4pnCksXbbubIDmrIfaeqnxazc8BdGX574W0sAaqYmsqafBZ6vRekavIKCL91VtwtmYcN1jiorYg5LEz8dCMPGbIXnPQjNwjOUiZX4ZlGVMCYLh63eFawUKzc5AEG/z+nCtPwC1ZrXha1geOgjzkQdT/o03hbFU8AaSTPCOC99sDJYVZdYy3vCMr+vi20DOcSaniB+OH74BCIxHG5YV8NnGvuWy+Xbj7+KTRWoEA93wu5my5kbg+S9Nz6s1a6CsfBOU1TdAq1k3fQNZCs0eMhFN2DqFrtMjoiiKguPHjyctW7VqFeTY86AgiGZoq96I4Ko3QvAPQ+zdA2lgP6SB1yAOHIDozy6lttpwvvHrylW8rsXUtisN+Sv4R2B+5esAq7sKReuweF1WfDo2TpVJRhE/jYB2OfKOokN5fYIPgk2C/tZHIHfUo3LZoxj9679Ou5lu6gRMl0Rb6M3GLMJ6aQPMO2sgZNCVUD4QPVY43rMSUz88Dt23sDpg7riGR3KHD0ef42pfP4bvvAs1X/13mNetg6IpuHffvXi4++Gk7f63639xS8ctaHbk/7qkezCRChK4CYIgSgxN0zA4mNzPKou4oAd9iRwfJrhwoSxa2aov1n81wvvMyQbNswpgFTqJEQiL7Ptc03UM+JL3qt4pQJxVacBEPsNtnjOs2OJZHGQrFxPB0pqbrNH05nxZbCxZ+ZjZ1BPGmmBCv1cBWJSPaOYpw+prqqC5jKVLZoQ3/REiq94UrSxmlaqiBA0iBoZHZ7JK6ArqPZUQWYexLAKatVxm51NV+HkV4ueX/U1ToumQ+XR0HYE1FFCT/6YpYfQGrdD7+439BqxuhK79woL7lfYaZZWRbKjMsEKWXWssWpX1YcUq7BayP8t/vbIVoR13p84qMqcLiJlsJSwT7cA4a9whQmfXhsmB+sYmCKxClf0uuYjtjF4fWbQQTud/4JYfAZoKYfIMxOFjkEaOQRw5yqfF0RO8S4Vc/saSjpW92rD/8umTsHq1jOwbIZ3/Ajtf9houULPGAEZhopLKhKX48Z8czMszIN/PmKVov8Pdga9e+lU+zSo2BgODXOxmQ+9Ub9LYG/JCmUyuQJFdMoQM+qlNRa21Nqt9YBUs2QrcMmRUK9Vwm9w45T2FKWUq431Y71m/4Dqz/Re8AnQWBZ3lMZoNs5XpOWiJGH9/OC0KiIzPbMemIi4ZwyYJYEMGOLWo+M1F8KRpFZURFfqkApeqwScK6DXJ8Faa0aJpeJvBFOV22Y4qyBhLaPK70PFhadwfcTr4wFjDortDEVwMB86z1kNmDWic9VzEjjaoYdPRZaxRVNL5jT2HM/0Ni2Mn8/IMyBglyLu9MXSPSHFO2JIRUeRCdpcpNvBpGYOilHz8VUB2GLtH9LgaEVp7J9TmCw3dH+Qsni2L+X0lcspkwvIMzlGi/81aMy4YCEJ2aFAkESFBQFgAvBEVR2ZtZ9L0jN+rZ+9DraLiViGIm/1+LIt1ncHem31ZvPuKIyfmuUZZnxexDCVZiLTsPZ0J3arZhYGwNfqupoR49pOadZcjcu0/GDMo2yCMn54jbOf1Nxaz3z8yiSmj7+m8X+uFsxflzf/YcTLyHqFXtSOy9m08QpVFauue9iX7HpQrluJ7XDnYHx8fxwUXXJC0rKuri2fKzFUZmcLts3uo87zo0AHU1dZC8g9Mi90SE7zZdAait1a/ybj/Jhs01oA5C1F9sfcIZcUVBt9z+9C+65tZ3YNc8s8RCCcL3JquYdA3ArX/NWiTZyE3nI/6pk05S5GtBhUMShGI/f3QN23E5ObNcO7dm+S/6HbB/YlPwv7mGxF+dQjBR3uTbJg2VsF6dRPECtOS+I1Vv6sdgZ90Qvcv3JDLsvpNABO5j/42am9sDEMfuRv2L/49Pq/+Eq/0v5L0DsG+l/7ljf9SEHGbINJBAjdBEEQJwtLCEOV7fAz5z1Lqpkirmwn+P5oVMcbKVYKxiPJY5HhidHk8ipxFlc9Kvx5fRw96oSoT0b8z4VW2QLPYALMtQUy2ZuVvZOO7oLRexkXruJ24OB0VraPjbI9H/IMgMpDct5ZSX5/dBwdPh5xcEaVrGnRL8ocFS6OcGBGx2KuX7YPG9iGPv4Oc/MbYR2iKY5Spfa16FcKXp29RbeQcq9me4zSk9V+UeAMAlQ0rr09wSoUw0Q2Jid1x4ZuNRztT9vFs9OgbEbin/Q+O5rgzhWh0o1rZgXBDM7SqNmiVy3m0ta9tHQQubJtK4hlwLtuXRRlNjiY+7MCOOX8fD47jwKkD6Pf3YzgwjOHgMIL2IIZDwxgKDPF5IxHgNbaarPZhoUoWJny2OFp4pDdbN3G62lKN4cHh6Uo0JtwPyUM4MnEEh8cO4/j4cSj63CgIs2jGSndm/QEn+l9hykPKwgxPcWPrtYZN9/h6Fv2g8okiH86a0ohv5lkColvGlnAYb8uirCbRijHNN6uQzLc/ajHz4bv8uvFia80qXFh/Hi6sv5D/DnL6G5NkRNa+FeJoF8SxrrSZdlijgjFRQkRgjQV01EDPSQQkzzAi2zP2n/0+ehFBt82aIGJHhezJdOl+WSuzRV4/vWYzwjs/lvbv6fyXhRxVf2Xh/9Gdd2J5hrlC4v6vca/BZ9vfg0ZrCFJoJjvOcHAQs3tfffxsD2rGRH5thAWBi+GR2DgcE8ajYwFBHeifipaxLKJwUbt5lrihMSEyi36QxdFohGU+nmLs+uTXqK8f4ixxRhxrycKgwKPF2XGdTb6/JPXwFP8mMNqQMtU7c8r1kN8+uI3c44I3/mdZvQeR/aVvvxBlzLHP7icVTVAqmoCVb4ivxMVdLnYPvgapf39U9A6MJG3KUvRn479e0QxkIHDzLsYqGqFVNEN3NUFxNiMQcfLvMql/H+QzLwJ6skCbDtbFk5bC3/n812QbIloTLFIfjGISu2ETn0dAi6YB13UNkTMvw3/oV9Cnot/z4ZNPYsrdAvPyC2Fq2QnRsbiuQeX2CggWaXofKj56N/DxPwHC0W9y+403wP2JT0Cqit6PzdtqEd47Cm04CLHeBtsbmiEvcy6p61Oqs8Lx7g74ftwJBDMQude9FboaQeTEH6L2/H7s/+r/w6u3xeolYubZe/Dfbv9bbKpObqRBEIWGBG6CIAiCIKKwShaTDTpLBc5E1yxMMPHQP0s8nMqReKjVrAHYQBDlBhO+q9qhVLUDq944s5xF5o93Q4pHeo8cA4aOQJ/qhKBnHnnJIqONkqrCN1NYv9da9UqeJWJ67FkFvaKBaxuhWfcIvaIewlLJskEsCpfZhVXuVXyIU5/wDGCC2HhonIvdQ8Gh6DgwxKPC2TwTxdnYxxpUpYngzoQWZws8Fg8XrFOJ2JXmyrTpSNlzLA6LBlnmXIbt9dtxo3gjXxZSQzgxcYKL3YdGD+H1sddxxncGqypXwSQab6ThMhWrx1Ggse06w9swwb8YnHU3Gup/O05D404c6nkiJz74FT+e63uOD4zlzuXYWb+Ti91ba7bCmmUDvjgsynH0DV+e/l0Mj5/A0NhxDHvPYCgwiMHIBAaVIAYmI0mpvFkDAJeuo0LT4NI0VOg6XLoAF0RUQEKFIMMlmFAhmuESraiQrKiQbXCZHHDKDphYanXeUDDzCGd2zb/v8fchiCDQkLvox0xgDWXCahhmgxHZrIFOMWD3sWD9hqyywijn/RHCs96jA8PDwF8nR8JOvf0HcNg0/uyWg2MwJXQNIyZ0FcMy5zCBoD+gL5zlKQtYBHcxYP1mZwXrG3wR7zvZIrDuAJhYb7D7pUwF7rxQwBTuBFEWMNGbCcquppnvu2nROyp2S4MHoVVnV7+huZq4HZbNQnM1c8Fbc7VwoZ3Pu1qiorazLqn7Efaeq8S+xdRVb0JY1+Gz+GHufgZy99OQTr8AQUnd77TKgg0yjJRmDRYjJyYRfmUQQ+Evo8l6B0Qhtd30NgC95yHo9RdAOfsKQscegerth84CKRKPha8f4dd/xQfR0w5TywWQm7dDtBhvRMqir4GZBuZyQwPsd96BwK9+jcq/ugfWnTuT1hckAbY3tkAdDsK8pTpnGZlyjdRgh+Nd7Zj6SScQXjhro3XjrTySO3LyKaCtFd+4LQAIo9NBFOur1uOz2z7Lv/0IotiQwE0QBEEQBEEQSxFRhu7pgOLpAFbdMF0pMdV7FoKvF6KfVVaPIWhXIbE+zf0j0SEQG9h0JACY7IaLFgLzVxazvjR5xcm0gL2SR9WrnpU8Mj/9hovrBoEobZhg7LF6+LAG6Sv0AkqAC3ws0job3t72dtzcfjPygUWyYINnAx9u67iNL5sMT2IsNJaVvbxEcLOKLEGaN1q+xvr/2bsTOLeq+2z8z71X+zKa3eN9N8Zm9cJus5k9gEkMpNlJGwhZ+uZtG2j6f98mbdMmoe/b9m3TUEiapGl2nIUAAWIIOyQBm90GvAHeZx/t2733/zlHM+PRjGZGV6ORdDXPN58Taa6k5x7dGQvp/nTOaZXPxSoxHX01dKd6kdRTlovIc/0ljOws0rvRd2XbunerHMF/auupWN+2HsuUZbL4XcyariPd8PANOBg7OOF9TDW3bvhoEU2VrfBvRx9sSfHXmtskzg0Pnh/2al586qRP4X1iLeQRX/CYSLu3XRaZq+VY4pj88okVWgkjkoslRofPD87HwsBCLAweb+LvwO8cfw34cjFnnwa9wFS9Yxg6zHgf4u/uhhI9AqV/P9S+t5E1DsHRt3d4ZKH4b7plehpq/9vTPvq5nAVuuc53lYgZGuSXii0oZory4fsqTjmDlhi9afhccoaI3DI+YtkksYzP8eu5pXyGtjvGbJOXZZjin2jGyyt6XzGlqNRFX0by0v+T+6LOVPsklhNoWYbMmo/LpR+0Q8/D8fbj0ETrPr4oRnbRhZPGmRkD6V39cupuoy/3PsEINCOmX4mg42dFdUnUUKOH3eh8qQHpyAAU91/CFMtbFMHo3YeUaK/+FFr7ibli9+zToBSz3J1LhXN5COjtytsc+KM/QsONN0LxFH4P6lgYkK3WOeb6c0XuH+0DMkUUuU/9AJSgHy1f/RT+1tGLTz35KcSNODbM3oD/ccr/sPxFQ6LpwgI3EZHNiJNlo9casnoCrZ7Z/fiw//Xd/0ocH7s/B+YXkT9rNiDaoKzDAX28fVicAm2o/15HDA6fIkf0GS2LobcMFrHlqOzlMMRoc4snZkfmj95WLsyvj3yvw4sFwQUl72Mqz6mU5yBGLxQ7gmF0/kJ1IbB34seIAmTIHULINaKN/nlwmxgRHlADsnjdn+6XBemjyaM4HM+tky5b9JAc5V6KQ/FDcARHnUYo53/GFIybfyR+BIsbFluKm+2fXXT+VKSNNJ7vfB5/OPYHWUtu87bhy2d8GSc2n1j036P4u5/UNPQ/oSeGi7/F/v2Lvy8xNeVkBfnp6v+R2JGCBe6J+i+Kz/FMXD5XUZAWMy6IUd3iurgc2j5y23Abug80qKYqv0AiHi8K/Uublsq/s3KMEJ/294ni9+xvQbM4gT9C0uHI7SfRB61nt1xj3nJ0/9vD61m3+Ua9Jk+x26OzRuerqfIVuJUK9d8bdMFsarX0Oxbvv7ILNsD0NsP0NsqCd+56bskf8bPhaYJHfHFKfLFiMDc+9PudQe8jmD8z8yuxj1rJN0t4nS4q3+GGvvA82XD+/4ISPQrt7SdlwVtflL8e9nBfdBPZ/RFkdvYh/UY//MkM/PABvtwXVRUoiGSvg1+7H6qSmrB/iV6nLGzHO48XpEcWt0VPm8QXdkb2v3CnoB97TTaxxJ1j9qkIvPcz0A8kx13HwXlCCKpLG3N81Dp6DRXTp/uvX4zYT/YB+uTnCdxLroV+zIETTjoBf3vG3+KV7lfw8RM+nrfmuZ3O91F9YoGbiMhmxJsHp7M865TWI7sfH/a/vvtfieNj9+fA/DLnW/zAOZSvv+df5Hg/M9CRN61d3R0f5tsqvxL7qHT+vNA83LjsxuGCtZg+XRTLG92N8mdxvZSR1kK7qx3tYmrKArLG2HXEiyEK5Ypj+k5kyZNk47zkiGK91QL36PXYJ8ovh6H83kwvFjYutPS3JIriuwd2F5VfbkNT5Vv5+18UXGS5wF2u/osvO4yXP17/P3/651Hrqv4a6m2CPi9/+tViyWVUhvKnb7B8wXxZ/BAzxBQ5de6EBe5p6r/4wqApis6uAFR3AE6HA6bF33X2hKtlm8x0/gXV23+DmV9f+ZXYx0zLF58FsyfdIFvedsOEfiCKzOv9yLzRDzOR+4KTeIfoHFWAFgw0IqZfjqDj3oL7ycRUdL7SgPA7vsn7D4v0lJzi3LkqDt97T0FmVx8yr/VBPxQfMz15rR3/6ch3LA7Ct2Ux4vfsF+tHTZqZ+NU78r3/uSvPxbmzc+uhE9USFriJKsQ0TdmIiIiIap1Yx+34D8W9fxHTpyeTYgrc8Xk8nry1RIlmOrFWuJjmbyLT8RlCjEC1mivWoK7mtNRi9LnVPosC96ktp2K2b7a8LkbazvHNQau3FW/1v4U/dP4Bvz/2eznldTmd2HSi/HKClf6WuuZ8OQScAcvHVkzB/fTR3Hrk00FMoy9+bx2+DtmGrg9dztTP1oWedy2cazB8bUivvA5a7x6ovbuhiDWmK0SBCTMZtjxVr+GeeIpy0+GF6Q4OF6ZNl1+ud5u7HpDbTffgz84Ct7vE44K5y0JTuc7Qv+FaVMy/n1r4dzZT1err3kwjjrd+OI7szn5kdvXDjFr7smQk+z4EtAehKMffS+oZBT27Auh9MwBTL9MXKDUN2pzZcCxYCMeCBXAuXCAvHSuWQ/FpcK1tlc3oSyEjnstrfbJAry20/l7IrhxLg/BuXoDEL94Zd0T7MBOI/+IdeLcocC6r7prbM+X3Q9awwE1UIYlEArFYrNrdICIiIpoWvb292Lp164T32bJlC5qbmyvWJyIqr3svuhd96T5ZEBZToA9kBuQa5OJ6OBPGQHrg+LZMvyyKl8u7A+9a/jwVRBD/uPYfC952RuMZsn16+afxbuxdPN/9PLb3bMcrfa8gY2Sm1NfTm0633NeQNsV1NKfAoTss93e2a9T07xY1u5plsXqWdxZmeWahw9sxfF2MZhfrmo8nk8xA/G8misfjBbdV/VxD42rg/K/krpsG1EQvlFQYajoMNRWGkhqAmo7kXZeX8j7510uR7DsCvcHaKc7MvPOR9M2G6Q7BGNFMTwiGWHZCK8MoO7HMaVL8rc7Mv1c7na8r5j5V/3c2Q9Xs694MIAuK3WmYb0VgvhUFwqXNACQYaEZf85/BPfttGKoX0Re7EP7NThiR0r8Qpa1eBW3RIqjz50ObN09eqrNnQxk1iln0WvZ85N+MeJtxWgA41Q8lriOeKN97VluY74Ry6SyYDxfxJU/DROJnbyN1zWwoCyYeZV/t12qaeVjgJiIiIiIiIqKipj4Uo85FK4YoFItityh6DxW/5eWIQvjo2/TBdXwFp+KURU9R/Jznmzdtz0mszyzalkVbkNSTeKX3FVnsFkXvg3GL60wDWN+6vqQRy9USdAQtP2ZBYMGk9xHrborf3wL/Atnm++fL4ywug2KdYKpPigrD1wr4WuVyJ5YYOpRMdLAQniuOq+kBKKlccVxNDUARhfJ0FKbDPViUbsiNsrYoPfcs2YiIKJ/Zl4b5ZlQWttFXvi/oxCPnIzp3JRLfvAvGO++UnKOtWgXvrZ+E46STptwnuXyKf2aWyNSVQRi6CfORzsnvrJsw7jsCdfMcKHO9legeUVFm5r9eoirw+/0IBALV7gYRERHRtJhsenLB5/Px/RDRDNOEJksjhWLZmCx8O1UnWjwtUC2uqztVAQRwUegiXLT4ouG1v8U05qK90PXCpKPSReF2zdw1chp4K+Y1Tk8BvxizGmchIKZWtuBE94nD18VzFQVvMW25WJt7UcMieV0Usz0OzzT0eOYq9N/a+jvXIGYzGLFUygjmYBMDo4eISW2rN56M6gHfw9a2mfG6V33GQBqZnX1Iv94P49g0jJT1aFA83Yh98UtAiUveaHPmIPSZT8O7aVOuME1Td2YAKc2J5MOHJr9v1oTxqyPwf2ApHHOtf7GsEq/VNPOwwE1EREREREREVSdOVor1oEWrFXP8c3DdkutkEyPSX+t5TRa7f3fsd3hr4K0x9z+j/QzLxW2h3ds+ZlujuxHtnnY5Zfdw8+QufQ4fopkoIpkIIulI7nLwutgupowf2i5+Fm08/hJGv4rH/OPZ/4i5gbmY558Hh8rTS0RERHZiRDNyPe3M633QD03PFN2KV4PrzHa417XCzCQQ3eqD0W+twK0EAmj44z9G4IbrobjGX8KESuNe1yaL18lHD09+57SB2I/3IfDBpdA6+PUyqj5+AiGqEH67kMrFMAx0duZPH9Pe3g5Vrezollpl9+PD/td3/ytxfOz+HJhv3/xC6+ON5vV6EY1Ga7L/zK/9/Ersg/nMn8yGhg3YsHiDvN6d6MZzh5/DM4efkZe9iV6c4jsl73Wu2PzlnuW4Y8MdaPe1DzeX5pq4/+7i83VDzxW+07nCdzgVltfFiPRQMFTS8bls+WWT7tduv99azy+0/qSVcw218ByYz/xayxejs8sxgrtej0+186287tXqc6il/GOHjiDxeo9s6XfCaPU1lW22HMM00B3rk9eds3zwntyKhZeeBId3aE3sEPTPfAbHvvzl4gIdDjT90fvReuunoDU11sXxr9X8wKYAwooDkUfenfz3GwW6v9mL5g+twtzVCyt2vo9rcFMhLHATVXA0AqdPoXIQf0di+sbR2/j3VR/Hh/2v7/5X4vjY/Tkw3775xfahVvvP/NrPr8Q+mM98K9p8bbhm2TWyiZN+r3e9DmfMmbePYvN9Th+uWHLFtPXfoTnQqDWi0dM4LfnFYP7U8wvty0ofauE5MJ/5dswv5n613H8751t53avV51BL+XpaR9/9+zAdHK1e+E/3wrOqBc7W3DrNmseR1/+mG29A3w9+gPT+/RNmBS/ZhPY//3O4Fi2qq+Nfy/kNFy8AsgYijx8c9z7GYL4Ry6D3p29g7hcXQtEqc76vnJ8pqX6wwE1ERERERERENAVi9NPq1tU4mj1a7a4QERHRDGDqBhTN2uhZzeeE6tVgJPSy9EFrdMN3ahu8p7ZBm+UFjh2b8P6K04n2z/8FDn7q0wVv95x0Embdfht869eXpX9krYDccNkimBkD0Wcmnq5ccasIXb2kYsVtovGwwE1ERERERERERERERFRDxIjc7EAK2c44sl0JZLpyl+JnR5sXbZ84paSR1ukD+ctGWaEGnfAsC8BMvw3/WSfAs3zx8BTZxQhceCF8Z5yB+B/+cLxPc2aj/X/+GRquuhKKTZa4q9cid+g9S2SRO/aHwl/aVDwaWt6/Eq65XIqVqo8FbiIiG77ZaGlpGbON6uP4sP/13f9KHB+7Pwfm2ze/sbERH/3oRye8T1NTU8F9zoTjw3x77IP5zGc+8+s1vxL7YD7zmc/8cueHQiE89thjY7aVcx/Fms580zCR7UnCd9RERhSzu5OymH2kdz+QKVw4HjUbddH9VxfNQaw7V7xUUOQSF14HnLMMGH07Ef/DQxj4751ye8stt8DzPz+Xlz96n4X60X77bXj7fVugBgJoueVmNH/4w1A9nqL6P1l+qZh//DGNm5fJInf8xeNreou/lZbWFrR+bDVccwK2O99H9YkFbiIimxFvHtxud7W7UbPsfnzY//rufyWOj92fA/Ptm+9yubBoxBpp1VDLx4f59tgH85nPfObXa34l9sF85jOf+eXOF58xLrjggmndR7HKkS9GZOvhNLJHY8gciyMzdHksLtc/HmmyccxGJA0jmYXqcVjqv39OCFlH7+T3dyrQAlFkDr2A2LZfwYhFxtwn9vTTwIgCd7HHx7t6NWZ/9SsIbNwIR3Ozpf5PF+aPyFIVNG1ZATNrIPFqt9ymNbjR8YmT4Wz3lWUfROXAAjcREREREREREREREVGZ6LGMLGBnZQE7hszR3KWZLM/614KYrtw1P2jpMY6JCpSqCUXpRnr3E0i+9hhgZCbMSr7+OrI9PXCMGjlcjMbNmy0/hipHrK/d/P4T0JM1kDkSQ9ufnCyntyeqJSxwExERERERERERERERWWSksnIEdjZvRHYMRmTi4nA5iOnMrRa4nW2ji5QmzNQBpHb+FplD24FsylJe7NlnEbr6akuPIXtQNBUtHzwRRiwDLWTf2RqpfrHATUREREREREREREREZFHP93YitXegKvvOdsWt3b+vD7Hf/w6AB3r/O8jsfwaZwzuAjLWc0dOUs8BdvxSHyuI21SwWuImIiIiIiIiIiIiIiCxyzvJXrcCd6UxMfPvhw4hv3474C9sR3/4C0nv25m5QHYCRLUsfok8/A9MwoKiTrRpORFReLHATEREREREREREREVFNMQwDPT09edtaWlqglrmYapomjHC6pJGqjo4J1rSu4Ahu8RzSe/cOFrNzBe3s4SOFH1im4rag9/Qg9cYb8KxaVbZMIqJisMBNRGTDN/ddXV1529ra2sr+5t6u7H582P/67n8ljo/dnwPzmc985ldzH8xnPvOZX6/5ldgH85lvx/xyqdfjU+18Udxub2/P29bZ2Vnwd2dlH2bWQOZIDKl3wkgPNj2cxuz/fRY0v9PScxAjuMvBMA30xPvztrX4GqEqg/1XAEezB442HxztXjjF5axccT323HM49D//DHp//wT5Jnp1PW9bs6ZBVZSS+6y4XPCtWwczk6nZvyHm2yOfqBQscBMR2ZA+6g0p1dfxYf/ru/+VOD52fw7MZz7zmV/NfTCf+cxnfr3mV2IfzGc+85lfrfyJ9qHHMsOFbFnUPhgFssaY+4nbvataLOU7B4vM5aCLqb6dKhytXlnMbli+AK4Of66Y3eqV6yEX4pwzZ8Li9hAD5pT76Fq8GP7zzkNgw3nwrV8P1evNZRuG7f+GmF/dfCKrWOAmIiIiIiIiIiIiIiLbMw0T2Z4E0gcj6I2GkT0QRbZ74rWqh6TfnbjAXYjqcUBrdEPvT1nrqKrA0eaVBXIxClxr9wBKBFqjB4qaG1Xd0NFR1AhZ54IF0NpaoXd1W+tDMd30++E7+ywEztsgC9uueXPLvg8iolKwwE1ERERERERERERERDVPrpcdj0MPh5HtG0D2yADSR2JId6Zw9HAvjIQLMDV5X3eg+fgU30VIvR0evh5/4QUc/ft/ALJZmLoOPZNBVzwur0NToWgaYl4fVKcDzkXXQw0sGb/PRhSKMQAgAihRKGoMQBJmn4ZMRENmvwOmoqA/EZfF6tBVV1k6JoqiwLd2HSIPPYRyEOtp+zdsQOC8c+E97TQozsLTthMRVRML3ERENiPetDY3N4/ZRvVxfNj/+u5/JY6P3Z8D85nPfOZXcx/MZz7zmV+v+ZXYB/OZz3zmF5tvGgaMSATZSAT6wACMsFgDOwI9nH+968jRMVn7P/hXiLYsgRaaD7VhDhTNJcscpqmhwXQAnhH7FQtXWyCmLhfrc4upwI1EAqldu4732TThN/On+M4oSu44ud6Ce8USGIk+GOHDMCKHoIvL8CEYkaOAniqucC/a7Nlo/vCHh49bsXxr105Y4BZJIVUbs03QmpvhP+9cBM47D/5zz4Wjxdoo9nr8G2V+ZfOJSsECNxGRzYg3Dx7PiHfrVFfHh/2v7/5X4vjY/Tkwn/nMZ34198F85jOf+fWaX4l9MJ/5zGf+eIyBAcR+/gtEH3sMybfekkVsjCoW5/XH2ww1NB9JT35BTfCceC1cvsbCz8HhnlpHswYyR2JwzQ/KEdqj893jFPQye7YhvfthICNGZpdmOP/YMWh9fXDOnm3p8b51a4vLFxwO+E47TU457t9wHjwnngiliKnQ6/lvlPnVzScqBQvcREREREREREREREQ0LY7+3ZcRfuCB4u6sOuG/9B+gKCoS8X7g4TtRSal3wrLADa340omZjpS1D/EXtiN09XssPca9YgXUQABGNDrmNsXrhffUU+Uob1EIF9dVn6+MPSYiqjwWuImIiIiIaMo6Oztx550Tn3y69dZb0d7eXrE+ERERERFR9TW9/8biC9xGRk7rrTXMQTWkD+SK1YojfwR3JcW3v2C5wC1GnHvXnI7Yk09Ba2yEVxSzZVsj19TmOtpEVG9Y4CaqYz3ffwTpd3oBVYGiKoCKwcvBn7WRl2ruUhO3q1A08bMKxTH4syO3TVxC03LXnYP3E2/4NA2qUwPE/RwaXPPnQ3VPcVogIiIiIiIiIiIisjXvunVwn3ACUm++WdT9jYEDFStwa41uuBY2wL0gKC+ds/1yu+KoXukksX17SY9r/9znoNx2G1xLlkx5ynEiolrHAjdRHUu83Alo88ucagy2iYXek0DwvJMtJR/7Pz9C4o14Lt8U+zAHLwevD7dRPysmFHkpUkZcqoNX1cFtooltg9flpSjwK0Djey9B4NyJ16oZLblnLyLbtgGqBlUU/tVc4b+YS/nlAbGWjzrZZeEMLRSS38YkIiIiIiIiIiKqNXokLQfHqB6HXL+36YMfwNG//mJRjzUGDgLzzyx/p1QFzjl+uBc2yGK2aI7QOAN0LExRXm6p3XuQ7euDo6nJ0uPESG0iopmCBW4imhayGGuRkXHA0boC1ZB8qxuBc609Jva7/Ui9s1peN0Uh3tABUzQDpiGK9PrgNnE9A9NIDl4/fps5fD13eTynwH1G3OY7cwk6bvu45ec5cN99UP1+uSaP1tAANRCEFgzIn2VBnYiIiIiIiIiIqESZrjiiTx1CbMcxNFy0QDYh9J73oPP//F8Y4fCkGXr4QFn6Yqaj0Hv3wrOyA003bIJzXhCqq7jzX9WcolxIvPgighddVNU+EBHVMha4ieqZGOBcJSW9CTRMWxXkoR8fya4ouSndgdx6NnLk+DQxTANdfXugdnYOb2ttbYU6ydRDRjqNw5+/bdzbVZ8PajAINRiAFmzIXQbEz0NF8MHbZGFc3GfwtkAg9zhRJK+B6Y8Mw0B3d3fetmKOT61g/+u7/5U4PnZ/Dsyv/3yxVvd05tv9+DC/uvtgPvOZz/x6za/EPpjPfDvml0u9Hp/R+ZlDh9C3dStaP/EJeR5ppNQ7YUSeOIjkrp7hc5LRZw8juGEeTA3ojkaRuewy9P/oR/K2JrHcoZxesUB/BqwXuPV0DN09u2Gme4BsH4xUF1pcGWgOBzzLr4d7ibWZEB0tLWj5xCegOB1yaUZTUdGbSuZmZjQMmLqOFq8HimHC1LOArsPM6rnr8jL/OvTs4O06kM2OuV3PZtAbi8OECUdTM7pjcfgNo+7+hpjPfKJyYYGbqI6ZpjKthdYJiSm7LZKzkVeLmKrcIlOvXkE+Cx3ZbNbSY4xIBJ61HwdUJ4xYF8xYF4x4N4xYJ8xEH4x4XDYcO1Zyv0SRO6/oPVgkF+sstd78CVSK1WNTa9j/+u5/JY6P3Z8D85nPfOZXcx/MZz7zmV+v+ZXYB/OZz/z6yzdNE/Hf/x693/8+or99TBZ3nR2z0XTjDTANE8ldvYg8eRDpd8aOzDaiGcRePAbfulkyP3DN1eiRBe7C59QUtzs3sCLUAFMXyxgWpnhEEViDY5YHrnliqvEWaLMb4Ow8Je9+HR0dJRfgHG1taP/zPzv+XAwD2aNH8+7TOoX80US+d1R+udXr3yjz6yOfyCoWuInqmmKvEdFVLHCX1F+ziiPOx/mG60T0cBiOjlOgOPO/YSuYYir0eI8sfMsWHyyAy9YN6Kmi9mFEo7KNfrvj6+oqqcB94DOfATLZvGK52iBGlIsR44MjywdHj+dGlDcAXo/l/RARERERERER0XF6NIb+++9D3w9+iPTevXm39f3wx3Au3iCnIs92JSbMiT55CN417fK6a+5cNH3gA/Icz7y1a+FsbIIWasgVtUVzH18Pu+vbrwGv7h+T1/EX6zBrweyCBWIiIpo5WOAmqmd2m6K8igXj3PTi9hnBjRLq8dmeSMHitqCoGpRAO9RA7gPHaEYyDDM+VPDOFb2HCuBmamDy7gaD1jss1jl/5lmYiYk/KI3pq6KgR3zj1++Ho7UVntWrEbzmagTWrYPi4H/2iIiIiIiIiIjGk3rnXQz84hcYeOQRQMz0N5LTB9fi8+FYfBH6f76nqLxsdyI3bXlL7ufWT94iL4OTjH5uvmEFzCvbgX/J3656eW6HiIhY4Caqc4rN1uCGzUacV6fDYuL5kD+ApqYmSyO6s53RkvepehoATwO05qVjbjOz6cER3915I8Bl8TveAxhZObraKjOTsVzcFhTDQFB8ABOtqwvGrl048LOfQWtsRGDjRgQvuhD+884rqU+VIH6XI3+3Q9vsgv2vbn4l9sF85o+noaEBW7ZsmfA+oVCo4D5nwvFhvj32wXzmM5/59ZpfiX0wn/l2zC/mPay4T6n5dnqNcO56A33f+x5izz0nfzYVZXgfircZrqWb4Fx0HhSH9Znzok8dRtNNJ1jqvxZwIeQM4ac//WlRvw+7/w6Yz/yZnE9UCha4ieqY6jahJ3ugiOG+iijgiktl8FLLbVNUOXq33BSnZqsB3HYawS3ePPjcHni9XkuPy/aIYrGr/P1xuKA1zAVEG8U0DZiJfpjOpOVcPRot+fh4CrzBMgYGEL7vPtngdMK/fh0CF16EwIUXwjVvbN+rRfTf6u+2lrD/1c2vxD6Yz/zxeDwerF69GtVUy8eH+fbYB/OZz3zm12t+JfbBfObbMb9c72HtfHxSu3fj2Fe/htgzz8ifPSNGVauheXAtuwyOueumdP4w824E6rE03IvGfuF1Im63G9dff33d/w6Yz/yZnk9UCha4ierY3K+8v6j7maKyLAYjGyZMwwR0A4Yo3mZ1mJkszKwurxtZQ66HbOqG3GaKn8XlyJ/ldQPOjlbL/fWftRypPX3H+yEvB0d2m4PXRU3ZGCyGj2lKblZ2Uxmcnl1cikLniCZ+lsX+fI7Q5N/GHU1xlb9YXLQSBpzr/ZlpKXBPRBFfoPA1Q3H0Wn6sEYlg2mQyiD37nGzH/v7v4V6xAoGLLkTwoovgOekkKBNMkUVEREREREREZHfZvj50/9vX0feTnwC6nneb1nYiXMsvg6N9VVn25V7WCMXBcy1ERFQ+LHATUW46EfElTE1Mfi1opdRPp6zxqjUV2U+hgr7itv4t1Kb3bkDmSGxEMV5kmeP+LLeJn/WhLwaI63ruPuKLAWL70O2D9xXToOcu8/P8Z5xqub+G9dm+y0Yt4Qt+2d4w/Jv+bsS632IadDH9eW4qdOjpsvUv9dZbsvX8x13Q2loRvOACtH3uc3C0DC4QRURERERERERUB8SScH0/+jG6/v3f5Wx3wxQNjrlr4Vp2KbTGBVPfkQJ4T2lDcOM8uOYGpp5HREQ0AgvcRDTjFCrol8LR4pXNLtTQHKB3oDr7brD+lYnMsQjUwCzZCjGSA7mC9/C636Lw3SnXAjdT4ZL7qnd1Y+D+BzDrf/2vkjOIiIiIiIiIiGpN9Kmn5HTk6b1787Zr7avgOeUDUAPtU96H4lThX9+BwHlz4Wi2vl43ERFRMVjgJiKaIXyntsLZ6pVrcWd7k9AHUoNTuU8/93zrU9brcs1w57i3q54Q4AlBa1k25jYzm4QRyxW8jfAhGAMHoA8cgBnvKWrf/nPPgep2W+4zEREREREREVGtSe3bh2Nf/SpiTz6Vt11xBeA++QY455815X2oficC58yB/6zZ0Pzjn88hIiIqBxa4iYhmiMBZc/J+FmulZ/uS0HuTsuCd7Rm6TMhtZsYo3743rLX+IIdYF720edUVhwdaaJ5smHN86nszE5eF7qGCt7g0wkcAM3+tqeCFF5a0XyIiIiIiIiKiWqEPDMipyPt++CMgm827zTH/LLhPugGqe2rThztavQhsmAv/mnYoztJmSSQiIrKKBW4iIpsxDAM9PfkjkVtaWqCq1qYBVxwqnG0+2QqtU25EM7nR3oOF7+OF8IS8rej9OFWoQevf3FVcjSUVuA3TQF8if4ryJm8DVEWF4vTB0XoCINog08jCiBzJK3r7zjzP+n6TSUR+8xsENm6E1ij6Xt3fb7Ww/9XNr8Q+mM985jO/WvmV2Afzmc985tdrfiX2wXzmM7928s1sFn0/+Qm6//XfZJF7JMXXAs+pH4Jj1uqizqWMx7UgKNfX9qxqgaIqZe3/kK6uLrS350+b3tnZiba2trLto1jMZz7z7Xu+j+oTC9xERDaUyRRfYC51nXIt6JLNvSg05nYjpUPvyxW7R47+lkXwviSgH5/7XGv25NY9t0hklyqj538reSKK6oAWmi/bUBk+/mIUrnmF1/4eT+y553D4ttsBTYNvzRoELrwQwYsuhGvRopr7/U439r+6+ZXYB/OZz3zmVyu/EvtgPvOZz/x6za/EPpjPfOZXPz/6zDPo/OpXkdq9Z8xtzsXnw716CxSHu+RzKZ4TmxE8fx5cCxssne/haxzzmc98onJigZuIiCxT3RrUDj+cHf4xt5mGCb0/lSt89yagaKV9k088vlqcs61PzxV97PHcFV1H/PnnZeu84w64Fi9G4CJR7L4I3tNOg6Jxui4iIiIiIiIiKq/022/j2NfuQPSxx8a/k+osWNyelKbAd3q7HLHtbB87EyAREVGlscBNRERlJaalcjR7ZANKm6rb1E3ofSlUi3PO2ML9REzDQOx3r8G55CIYAwehhw8AmdwI9PT+/ej9T9G+LacuD5x/PgIXXQT/uedCC1jbDxERERERERHRaN133omub9wphlhOeL/M3kfhnHcGtKbiZptTPBoCZ81G4Jy50BpcZeotERHR1LHATURkM2L6p8ZRazyXMgV4TTNMNF61eHAU+PEp0JE1Jn2oAgUhT2DMtqJpiuVvIydffx1wdMBzyvuPP4VY9/Ca3kPre+v9vRi4917ZFKcTvjPPRODCCxC88EI458ypi98v+1/d/Ersg/nMZz7zq5VfiX0wn/nMZ3695ldiH8xnPvOrl68GGyYtbueYSL74Pfgu+P+gqNq451IUl4bGy5YgcPZsqO6plxD4Gsd85jOfqNwU0zSPL5RKRGXR1dWF9vb2vG2dnZ1oa2urWp+I7E5MfW5E07lityx459b/1geL30asPOvAOGf7Met/rLH0mK5//VdEn4vDufDcCe9npmPQBw4OF7xl8TtyRAxZh3vlSrlmd+DCi+BZvQqKWtrU7kREREREVJ94roGIxmNmMti3+Tqk9+4t6v6uVdfBveKKgrd5VjajcfMyOBpLmMq8zPi6R0QCXwuoEI7gJiIi20x9rjW4ZXMvDo253UhmcwXvoRHf3Qmkj0SRORovauT3yAK3VZHfPgatY8vkz8Hlh6PtBEC0QaaRhRE+LIvdAw+9ib6fPArFmUBg49lydLfnhBPgaG2F4uJUYERERERERETllEwmsXeSovDSpUvh8Yhl2GqXmCVu1l/+JQ584hOT3te3bh3ab/sgBh6Oy/MnQ9SAE43XLIX35FaOzCQioprHAjcREdUF1eOAa04AEG3Uet7Z7jgyR2JIH44hI4reh6MwYtmCOc5Rj59M5vBhpN7cjcCK3BTjVimqA1rjAtmcI3P7utHz3ddhpJ6TI78VhwnVo0ENiCK/F1pzAI7WEJre/15oPha/iaj6uru78Z3vfGfC+9x0001obW2tWJ+IiIiIiCYSDoexdevWCe9z66231nyBWwhsOA+B889H9IknCt7unDsX7Z//PIKXXSoL2IqvH93felXe5ls3C41XLobqG3lmgoiIqHaxwE1ERHVNEWtqz/LL5jstt02szmGE00gficlid2bwUnxz2TXH2ghuPRyG75xLZaG6nFR/q2yFiLVFsr251rd1N1o/stpStqnrMGI6VK8DipNToRNReRiGgXg8Pul9iIiIiIioPMT5jZGjrdtvvx3RZ54Bsse/1K/4fGi95RY0f+yjUN3Hpx33LGtE8OIFcpY8cZ2IiMhOWOAmIqIZR3z400JueEVb2Ty83UhloWjWCr6elSvReuvt6Nv6FqpB9Vr/dvW7f/wJaB03yeummYWCLBSHAcWlyG9ry1HijT44moNytLgohMvt4lIUxYcuVU5ZRkRERERERFRupmFAUSc+P5E5GkPfz3cjdNUSuBc2yG3uJYvR/MEPoPe/vid/Dl13Hdr+5+fgHLV27ZDQJQunofdERETTjwVuIiKiQaq7tP8simnPq0UUmq3K9oShdeSuK4p4vAOmDpgJwEgA6NGBdyJidfEJcxQnoHg0aH6XLIrnCuG54rcovA//LNvQz06OGiciIiIiIiIqINvXh97vfBfRxx/H4q33QHGNXZLMzBgI//ZdRJ44CBimLHLP+uzpUBy5z9qtn/oU0u8ekJfek0+qwrMgIiKafixwExHZjJjetbe3N29bc3Mz1Em+2TtTVOP4KB4HHC0eOcX5VBmmgf5EOG9bo7cBqqKWrcCth0UVe+rMjGg6jIjISxTVf9fCBrTfemrx+9B1RLZtg2mqUBxK7hvsYvo1ZfC6/Fk0cTF4XVVyU7QN/ixHmo/+uVAOFJgw0RsOy58VpxOO1la0tLSU7e+nEn+f070P5jN/qvlire7pzLf78WF+dffBfOYzn/n1ml+JfTCf+XbML5ep9n+osN33/e/DGFz2p//ee9F0/fV5+am3B9D/wH7oPYnhz9rZY3FZ7G64eIG8rxYKYf6d36ho/6udX4l9MJ/5zOf5aKotLHATEdlQOp2udhdqWqWPj5jSSzQjmZVThGUOx5AeWtv7WAzIilWzi5fWj6+VNRkxOtoKI5GAmbbWH6sm6r/V/pqZDA597n8icNX/k8VpMxODmY7CTMcHr+d+xvDPI28T12OAUfzxNEwT3SP671q+HC0PPAC7/X1O9z6Yz3zmM79a+ZXYB/OZz3zm12t+JfbBfOYz35pChe0hPf9xFxo3b5ZfvhbnGzp/+QbiL3YVzBEjur0nt8LZ7qto/2spvxL7YD7zmU9UO1jgJiIiKhPV44B7UUi2IaZuINuVQFoUu4eK3oejMOLZ8uzT4gjubFcXFJcf1WJ5xLlhAIoGxemVPyoOF+BtshRhZtPjF7/lz7nr4jako1DifbnrZhbeU4sfbU5ERERERERUdGH7299B7w9+AHNUYXtI5tAhDNx7LzynXIyee95A/HDh4rak56Yqb7v5lNysZURERHWOBW4iIqJppGgqnB1+2XB6u9xmmib0cDpX8D4ck2t4pw/HoPcmK1PgdlaxwO1zWrq/aZjDxe1SiaJ4sYVxMcV6LJqbcsnUUzAVN1L7BuBdZq2oTkRERERERFRKYXuY5kb/rw/A8cJr8rPqZNJvhxF7/igCZ84uX4eJiIhqFAvcREQ2I9YWDoVCY7aRfY6P6I8j5JbNe2LL8HYx5Vj6SBTufd1IHxpAti8GM5qEltWBjA4zK9a10aZUMM52dkJxlT5l2WQUKGhw+8dsK3WKcsCE4gqgUvL77wdSpa3Mp5qsAAEAAElEQVRzXs2/z+neB/OZP55gMIgrrrhiwvs0NDTIL/mUkm/348N8e+yD+cxnPvPrNb8S+2A+8+2Y397eji9+8YvTll9SYVt88m9ZAc+aj0L1txX1WXvIwK/3w3tiM7QGd1n7P1Wl5gcCAXz9618fs62c+ygW85nP/No+30ozj2KOPsNERFPW1dUl3yCP1NnZiba23JtSIqJSmVkDRiKba/EMnLMDUN35Re+J9H7ve+j72atwn3gNqqFx8zIEzir+2+R6OIw9l/8R/Bv/EtWguFTM+eI5ULTi37T3/fgnCD/4IAIXXoDgRRfBtWDBtPaRiIiIiGYGnmsgsh+rhW1oLrhXbYZr6SbrO1OAwHlz0XDJQqiu4s8TEBHVOr4HokI4gpuIiMhGFIcKLeiSrRSBCy6AEmhF5sgh6H1R6AMJGLE0jKQOMy124JRTmItR3scvyzfi2/IIbsOo6pTqrnlBS8VtIbJtGzJdfvT/chd6vv0AtEYTwY1nIXDRRXJNb0XjiQYiIiIiIqJ6ZrmwLT4vNy2Bd83HoAY7LO/POduPpvctl59hiYiIZgIWuImIiGYQMZp4ohHFRjwu1+mWrbMT2a6jyHR2IdPVB703Cr0/DiOagpkRo5v9svg9dIm8n0Vx3A9Fy59C3ep032KimUpOUT6aa4G1kwN6NIb4H/4A73lfgBaaN7w9uf8oYv9nG8zkf8O9vA2BC9YhsOFcaAH/mOdrpnUYCR1mcnCkvmjJLEx5qQ//LC5z23LbxTf0Z31uTdmeOxEREREREU1/YRuqA66VV8O1/DIoiliazAKHitAlC+TIbUWz+FgiIiIbY4GbiIiIhqk+H1wLF8o2ESOZzC+Ed4rr4vJQ7vJAlyz2QnEAqhvQPAhecAlcc8+yPoLbVcUR3PMbLN0/9swzME0NasOcvO3iG/hD38IXa8OEH02h/+c/heJ15b4U4PAAinvwrVlpaxgZFqaqHynTFUfvD96A1uyBo8kNrUlceoZ/Vj18u0hERERERDQRPRpFz93fRO/3v198YVt8VgwtgGftTdAa5lrep3tpCE3vXQ5Hi9fyY4mIiOyOZyyJiIjIMtXjgWv+fNmmk6OlBQu/dwcyhyIwYhm57rgez8CM59YgFyOdh0c5J3RAF+Xj6o3gjj72GLTGRZN+615xuKG1LEM5mSkdpmFCUa0VyLM9SWSOxmQbb1r5XNF7sPjd7Bn+2dHsheLkKAEiIiIiIpq5Io8+iqN/+3fIHjtW/IMUDa4TroRrxZVQVGtfVhafwUJXLob/zNmWP/8RERHVCxa4iYiIqKY5W7yyTUZO750xcsVuUQwXl8OF8BHXxWVi8HJwW6HCuBjBbGWtc1PXEX3iCWhtZ6NaxLTmii9/WvjJ6L3JCW/PHaMoMoeiY29UFbnWm/gigHthA1wLGqA1uaEoPMlCRERERET1LXOsE8e+/GVEtm2z9Di1YS48a26C1jj+8mHjcS1qQPOWFXC0ctQ2ERHNbCxwExHZjGEY6O/vz9vW2NgIVeUoyno4Pux/6URRVXFpci1qhMR038UZLozHs8hGU+g91pMbKQ6gt7e36P4nXn4Zel8fXCcsGfc+hmlgIJlfKA55AlCtrrM2Xn5SBzyapd9Bti9pbR+jn8OeAYQOBhB77oj8UQ064V7QAJcseAfhmhu0NMp7uv+GmM985ts3vxL7YD7zmc/8es2vxD6Yz/yZkm+KrJ/8BJ3/959gRHOfjQzTRNgw8u7XoKpQR375V1HhWnYpXCdeA0W1dlre0EyY5zRBO3MOwmoC6E3U7PEpZ353dzdOPPHEvG27du1Ca2tr2fZRLOYzn/n2PV9J9YkF7hnkkUcewV133YV9+/bJJl6QlixZItsll1yCm2++Wb4o2Y14LuJ57dixY/i5CeK5rFu3ztbPjWg8yaS1gtRMY/fjw/5X1sjCuNrgBNQoVLgtPxcxPbmgNo1f4BZS2TSmixiprja6iu53trcX8e1vALA2FftEz8GIZJB4vUc2SVPgmhPIFbtF0XthAxyTfAFhuv+GmM985ts3vxL7YD7zmc/8es2vxD6Yz/x6z0/t3o0jf/1FJF58ccxtaTO/wA0cL/yogY7cqO3mxZb36ZwfROP7lqHHCCOVTmEmHX/xhXRR5B69rZz7sIL5zGc+Ue1ggXsGuOOOO4YL26LIu2nTJtx4443y+t69e2Xh+/bbb5dN3CbuK4retW7r1q34yle+IgvbQ0T/16xZI6+LAv4LL7ww/Py+9rWv4bbbbqtij4mIqJ41f/zjcM5dgdhLgar1wUhmLd0/9tRTyByOQGu0VuC2RDeRPhCRDc8clpu0kEtOZ+4/owOe5U3Tsls5Mj+lD67dnoUuLmMZOUo/fPAIzLQO1eeEc64fZms74OK3jomIiIiIaHw93/oWOv/fvwKZjIVHKXAuvRjuVZuhaMUvgSVpCho2LUBw43yYigkcDVvtMhERUd1igbuOiYK2GL08NKJZFHe/8IUvFBzJLIrAt9xyi7xcunRpTReDxfMZ6qsgCtqiv6K4XYgogA8V8EVBXxTwiYiIys3R1ITgJZsAzyGk3xlA5mgcGP+L5dPCTFgrcEefeBKq7xJUmj6QRuLVbnhWWCtui6njs32pwaJ1ZrhoLdcJH74uto+/trqYYj0a7c3b5ny4B97lLfCsbIL3hGZoFqa4JyIiIiKimUENNlgqbiu+NnjX3gRH63LL+3LO9qPphhPgmu2XP5tGhT9cEhER1TgWuOuUKOpefPHFw+si3HPPPdiyZcu49xfFYVH8FQXxoRHPtVgMFqO2r7/++uGfJ3teQwXwbdu2yeckRrOL5zjZY4hqfTrlhoaGMduoPo4P+2/v/jtavGjavExeN9I6MgcjSL0bQXLnEaQPxqDoGoJuX34+Js83xVR3mTjMdBymuMwkBi/jQCYB5/wONN1wHZwd/qKfg5nNIvq77fBv3Fz08xvqbynPoRAxbfmY/An6H/39EYQffqekfU3Uf6RNJHf2yNY/eDLJs7JZNtf8IBRVqZl/A8xn/kzOr8Q+mM985jO/XvMrsQ/mM7/e8xuv34KBX/0Kie3bx+YD8Kta3jb/mX8ErdFicVsFghcuQMOF86E4VFsdn2rmV2IfzGc+8+17vo/qk2JOtGgF2ZIoai9evHi4uC2K1GIN6mKJEdxDo75raST33XffLUduC2IU+qOPPjo8HflEhgr2Q1OZi2K+KHhPp66uLrS3t+dt6+zsRFtb27Tul4iIapd4y6X3pZDYeQjxHfuh94sCdSpXtE5GYMTDMGL9MMK90Ae6Yaaix4vY2YnXWQtddx3mfOUfLPUnvuNFvPORP4Zr0UYo/haovlYovlaovhYomhPTTfE4MOevz7JUPBYF7v5f7EElqT4H3Cua4BUF71Utcq12IiIiomrguQai6kvt3Yt9m6+bcCS32tCA9s//BRquvBad/+9F6OF0UdmOWT40X78CrnnTuISUzfB1j4gEvhZQIRzBXYfECOeh4rYoAFspbg8VxMUoZ0EUhsVo52qvyT2yuD00cruY4rYw9FyGDE1tTkREVEnim62OZg+C5y2VbbJiuBGLwxjohz4wcLz1j7g+eJvRPwD3styocSuiTz4BZBNI73l4dE+huBug+Fqg+gcL3oOF71wRvBmKOvW3kGL0tpXitqD5p7/wPpqY/jzxUpdss/+/MwEWuImIiIiI6sbAwAB+85vfTHifSy+9FKFQSF53L12K1ptvRve//3vB+zZceQVmfeELcAwWXZretxzd33l94k4oQHDjPDRsWgjFeXzUNhEREY2PBe46I4q3Iwu4Ys1tq8QIZ1E8HhrxLArm2wtMvVMpoh8ji9tiRPl4622PNl4xW3wBoNBa5ERERLVSDNcCftmcc+dOyz6iTz45zi0mzNSAbEbfvkK9g+JthNowD1rz0lxrWgTFYW3daneB6ckno/oqX+Ae4pwbgBZ0VW3/dtDb24sf//jHE97n/e9/P5qbmyvWJyIiIiKiiaRSKezcuXPC+5x//vl5P7fccjPCv/410vv3D29zzJmNjr/+awQvuCDvvp4TmuE/owOxPxwtmO1o9aLp+hVwL8yf+peIiIgmxgJ3nREjroeIAm6pa03feOONwwVucSlasSOmy23kmttiJLmYNr1Y451AZXGbiIhmskxnJ1I7d5X4aBNmog+6aMdezW1S1MGC95Jca10O1dsyYYqrhBM4qr96b13Fetw0sWw2K6cNm+w+RERERER2prpcmP23f4N3PvwRQFXR/OEPo+1PPwvV7y94/9BVi5Hc3SeXrBopcO4cNFy2iMsgERERlYAF7joyVIgeUuwo50JEYXxksVxMWy5apYmR20PrgQtWituCKMqL57J169aSM4iIiOqNmU4jdO21iD79NPSenjIEGjAG3pUts/9xuUlMcy6K3c5Fp8O54BSY2QCgm7n7K4BrfgkjuKswRfkQsQa3Vf0P7ANUBYpDlVMNysvxroupCOU2BYpTG7wcvE3jNIVERERERNPxuahUvvXr0fbnfwb/WWfDe/JJE95XdTvQtGUFur+Z+4Kw1uxB85blcC/hABwiIqJSscBdR0YXoNevX19y1ug1t8Ua2JUucItivdjvVEeki/W6xVTlolC+bt26qo1EJyIiqhWuefMw52tfhWkYSL6+U67HHXvyKSReeUUsAF6WfZipMLJHXpIt8ZwoamvwnXs5vGs3wTl7MVSP9behqneKBW4lN825HAluANnuRHH79TvlFOVWiHXUo08dKrGjozuA4wXxEcVw1eeAs90HZ4cfztl+OGf5oXr59p6IiIiIqJglm47+zd/C+YW/LPoxRkqHouW+wCq0fuITRT/Ws7QRgXPmwNQNhK5cLIveREREVDr+l7SO/PSnP837eaqFXFHkHjl6WoyCLnXK81J85Stfyfv5hhtuKDlrKqPZiWqNYRgYGBjI2xYKhaCqHOFXD8eH/a/v/lfi+FjZh6KqcrSBaG2f/jSyfX2IPf00ok8+hdhTT0Hv7x+bb5qIGEbetqCqQlWUiTtm6og//YBss//hHwCcYLn/8mSS1wEzkZvmWlzX/E5Z6BVF6Fzx2gnN7xi+ntueu5/icYgJ1ofztb6knCrQfUhHel8YyOY/ryGeE5qgqJM8v1H9N7MG+pMRua3B7YeqTOF3bIjRJYZshmkgnIodv21Xfr4Wcstit5jq0DW78BSJxfR/Ov8N9PX1TWt+f18/sr0JGIkszKyJkDcARRzDrCl/L0MNI3/WDZgZQ84yIC7lz4O3i7+LofsZCuD50OJp7b+dX4Nq7TWO+cxnPvOZX9l9MJ/5dsjP9vSg85/+GZFt2+TnmP6vfx04/fQJH2saJqK/P4LwtncQvGA+gufNLan/oauXQJnsc9Mk/Z8ofyrsnl+JfTCf+cy37/k+qk8scNcJUYjuH3USevQobKtEgXxkgXvbtm0VK3CL5zJyWvHRa3ETzXSJRGLMGwqqn+PD/td3/ytxfErdh6OpCaGrr5bN1HUkX3sN0SeeRPSpp5B8dXC9bQApc1SBWwwxLpLi9SJ46aUl97/906dB9WhyNLcoeFslTk4N53sA7eRGtF7SAUU3kdw7gOSbvUi+0Zu3Pp7V9bdFvpHMIpnJZYgCdDkN5Q4Zma8PpGQLXbFoRvwbECPl9d4k0gejSB+MIPnOAA7tfld+GWBIJtA8tS8YjGBoYg16+xyfesyvxD6Yz3zmM79e8yuxD+Yzv1bz9WgUR370I3Tf/U2Y0cjw55js4SOTFrh7vrcTmd7cafTIb9+Ff+2sgjMnTdb/UovbxeZPld3zK7EP5jOf+dOXT2QVC9x1QkzBPdpUC9zNzc2T7qNSo7cFjsImIiKqHEXT4D31VNna/vSzyHZ3yzW7I088iZ7f/hZmLFpSbsOll0ALlF7wdbZ6MR3EutdinW3RzGtMZDvjSL7RJwvenmXW18aTI3+rRVPgKOE46eE0zOotc160TFcc8Rc7ZVE7czACI54b0S+IEe4ji9tlJ0Z1m+aUT04SERER0fTTBwYQ+e1jiPzmN4g89RS6konScvqSAHJLFon3npEnDiB0ef6sPkRERFRZLHDXCTG6utzEmtcjjRzNPd1Gj97mutlERETV5WhtRePmzWi45hoo77yD2LPPIfzQQ4j//veWckKbN6PWieKlWM9atOD580rKkNNdV4lYl1vRrI9Y7n9gH2IvHUOPMya/SOBo80ELOpFY5IAj5IEWdMkm1wCvIr0/hchvD1SxAybgsFbgNnUT4d+8DffyRrgXhYbXbZwu8u9Pya3dTkRERDSTZHt7EXnkEUR+sw2x3/0OyOa+DCm+pFgukacPw3/WHDga3WXLJCIiImtY4K4To4vPo4vTpWhpaRmzbceOHdNebBbTk49+PuvWrZvWfRLZiSi8BIPBMduoPo4P+1/f/a/E8anEcwi1tiJ0zdWYc83Vcg07/bHHEP7VfUjt2jXhYx2zZ8N35pmW+9/1T/+E9J69cK88AZ6VK+E+4QS4Fi6Ua4jX6u84k9QQd/ly21DGfCgIDOaO3DaSs6O0EfKZozGZ5Y1pQCwNvJOGDqDXFc07RnLtc1nsdspLtWGw8O3K4tyTz4Ti1qC6NTmSfPSxDQQCY04uWj3+rrm50TOlHp+pkPleP1SPw1L/0++GEXnioGyKS4N7WaNc291zQnPeidFS/j7FdPiZwzGkD0eRGWqdcbTedBI8y5vGZBWTnz4QgXNuoOi156fS/5n2Os185jOf+dXKr8Q+mM/8auVnOjtzRe2Hf4P488+LxWLH5gPwj/r8UHLvs4Zcj7v5+hVl6X8xZmq+z+fDF7/4xTHbyrmPYjGf+cy37/k+qk8scNeJ0QXh0dOLl6JQkVzsZ7oL3IWmQl+6dOm49xd9Gnr+Ylr2qU7NTlTrCr2hoPo5Pux/ffe/Esen4s9BXL/pJrTedBOSb76JgV/8EgP33w+9u3vMY0Ni9PckRelC/e9+9jkkd+5E9PHHj9/P64V7xXJ4Tlg5WPg+Ee4VKyad/rxSxycdURB3+6YlPzBJrnO2v6Qp1bNd8aLyzUQWWdE6x962Esf3LUZ6q4OjvkUxXFw3/tCbK4a7NRjxDLSAC8pJ1n4fqs8pp2DPdo+dYrKY/k+FzPf6Zb+tSL7ZN3zdTOtI7uyRTXDM8sl13j0rmuBe1DDh36ceTR8vZh/KFbOzPWLKzLHSh6JFFbhHy/Yn0fmNl+Tvy3d6O/xr2uVsBjP2NY75zGc+8+skvxL7YD7zK5mfOXwYkW3bEP7NNiR27BBDtCfN9yva2Bu00tboie84huCGucNfLq2141Mv+X6/H1/60pemdR/FYj7zmW/f831Un1jgrhNi1HMlVGKa8kLTrY8uWot+fO1rX8Pdd99dMGPLli248cYb5SURERFVhueEE+D5y9vR/hd/LtfrHvjlvYg++ijMTEbeHrr2WsuZZjaL1J49Y7cnEki+/IpsIzkXLJD9OD7aeyWcc+dU/JvFiqbAtSAoC8e5ZsLM6DAzZm597mlco7uUEdxixC+M8k+TrfcmZRuPe2kI3pNaLWc75wUKFrgrQfwurRJruY8neyyOqGhidLdbk2u+i5Hd4u8n25NA+nBsuJgt1kkvlrh/KcT65jABI5yWfRJNHG//mlnwntoGzW+DhdqJiIioLqXffVeupy2K2slX8j8HWKfAufAceFdfAuAN6w83gYEH98tZc4iIiKjyWOCu0+J2OaYoLzQKvKcnN9Kk0iO4Rz4fUdS+5ZZb5Ejye+65R16KArgoeosp1H/yk5/INbxFE7d985vf5BreREREFaQ4HAhecIFs+sAAwg8+hOSuXXAvWWw5K71/P8y0haLeu+/KJkZzDFGDQbhPWDFitPdKuJcvh+rxYLqIEa/tnzpt3NvlNN2i6D1UAM8UvsTIbUPXMwaMlI5sZ1xOKy7WpJ5ygftoDNWQPhiFaZiWp8J2zQsi8VIXqsLilxP0gRQyR4o7vmZKR+L1HtmmSoz0tkr8Xca3jx2anzkYRb9oD+yTxXf/2nZ5yTW+iYiIaLql9u3LFbUf/s2kSyIVS5t1Mtyr3wutYS4SSmlfCtQa3fCe1i7fP3GaXiIiospjgbsO9PaOPyLEjiO4C+1jqNg+VNy+6667cPPNN+fdZ2h6cjFqWxS6L774Ynm5du1aOdr7tttum/a+ExERUT4tFELT+28s+fHJN96cch+MSASJF7bLNkxV4V62DMHLL0PzBz4ArQxfDrRCngRzKnIa76mSazAfjSFzNC5HNatB6yNsxWOrQRR0RZ+d7damFXfNG38d7gk5FCiaKo/70KVcK3zoZ3G7KNo6xPWhlts2vN1TYGrLCSTfOj49eSWJ42qkslDdxX/kE2tvTzgyXjeHp1dXfQ45otu/dlZuvW6e2CUiIqIyEAXj1FtvyfW0w795GOk9e8uWrTYugnv1++BoO6HkDMXjQMNF8xE4e05Z3ssTERFRaVjgrgOVmp682kSxWhS3xRTmmzZtmvC+YsT2o48+Kovbwu233469e/fKwjgRERHZR/KN8ozSGMMw5Ikz0Xr/89to/uhH0fyxj0JraIDdqB4H3ItCspWqWiO4hfTBiOUCt3NOABDnE0cMphYnGEWhVYzuds0PyPuoXsfx4rQoZFehCDvR9OTTTYwct/J3Ed9+rOj7GvEsYs8dkc3R7pOjusWa3VqDu8TeEhEREQEHPvlJxJ54snyBDg+c886Ac+F50JoWlZ6jKQicMwcNF86H6uOSLURERNXGAncdqOQI7ukupk+Uf/3118tR2JMVt0cWuUVBWxTFh0Z/L126tGojudvb2y0/5otf/CK+9KUvTUt/iIiI7CBVhhHckzFiMXR/4xvo/f730fLxm9D0oQ9DC1if5tvOqlngFtNfY80sS49RXRq8p7RBdWuDBe0gHG0+ufZ5LTF1A8nd1fsyqli7u9gCt5gCP/5yd0n7EdPlDzz4NgYeehvuZY1yVLdnVYv8PRERERFZ4TnxxLIUuLXmZXAuOg+OOWuhOKb2BTzPymZ0XH0qHM3Tt8QRERERWcMCN42rHOt4l6tYL9bVFreJqcatENOYi8cMTXsuRnKLAjnX5Ca7T9c1MDCQty0UCnFq0Do5Pux/ffe/EsfH7s9hdH7n66/DV8Z17UR+xMhfQzmoqjLfCIfR9S//D73f/S+0/Mkfo+kDH4Dq882I49/xuTVymvL00Sh69h5FpisOPZKBEU0jqPrK2v9wKn+dQ+eBcElZLe9fWfPHX6yX7l/fIUdxZ7sSJR2fBnfp03+nR63DPVH/E7t6YCazJe1nON8w0fnqAeDVA1DcGryrWtBx1hJ4ljaWbb3uWvsdM5/5zGe+XfIrsQ/mM78c+cZZZyH879/Ie59eLMUVhGPBWXAu3AAt2FHU+ywUER+6YvGkxe16Of61li/OB2/YsCFv21NPPTW8nGU59lEs5jOf+fY930f1iQVuqinjrfEtRl9/4QtfKClTrMl9xx13DP/8iU98Atu3j1iDk8hmxBuKeDx/rdSGhga+oaiT48P+13f/K3F87P4cRuabhgHvhz+E0NFjSL/1JlJv7YaZSEwtX0wZbeYXuANQ885r6f396Pw//xe9P/whlj70EFSXq6T+2+n4i2kW3UtCcC4KIrJIgWvE/mY1tcGMZaGH0zAiaeiDzYhkctfDuZ/NxOTFURMmEplU3rbU4agc6SzWwJ6qWjv+Yvr4xvcsAd6zBNnepCx0J9/sQ2pvvyx+F3N8gm4/lGLOvMqRSh645orp2f1wzQnIKduL7r9hysfrvUmUKq//GSD+hzi0nTFoXie8K5vhPakV7hVNUxrZXWu/Y+Yzn/nMt0t+JfbBfOYLRjKJ5KuvIr59O5xz5yJ09dWW8s3585Ht6ED2yOEx79MLU6C1r5JTkDtmnwZFLfw+Y7z3WeVSK8e/3vJ1XcfOnTvHbCvnPorFfOYz377n+6g+scBNtljbW/RFjMYuxY033phX4BZreT/yyCNFT3VORERE1aGoKpquuw4dHR1QVRWmriP97rtIvfkmkm+8IacvT775JrJHjkzL/oMXb7JU3K5H4sOqKNKqPhecbROPZhcFWz06WPwOFyiER9LI9CeB2OA3DUQB2O+Qo3uNRBZaoL6PtRj1Ezh7jmziWKX2DwwXvLPdFr+4oUCuey2L2HMCcM3159Yc95T+8c53aju8J7ch/XYYsR3HkHi1G2aq8MlDq8ykjvhLXbKJtdLdy5vgPalFFr25hiUREZG96QMDiO/YgcSOHYi/sB3J116DmcnI23xnnVV0gXvk+8/A+RvR/+MfF3d/XwC+s28Vw7dL6j8RERHZEwvcdaDQlCz19lyWLFlS8pTphaYjF9OWs8BNRERkL4qmwb14sWwNl1+eN+I6+eZbSL35BpJvvImUKH7v2QMznS59X243Wj7xJ2Xq+cwgCpeOJo9s4zEMA8rhIzASGTliW0xj3Tp7tvwCw0w7Vp4VTbLhaiDbk5CF7viubuCVfiA7YnS3Q4FzdmBEMTsAZ4cPirP861srqiJH8otmXLMUyZ09iG0/htSe/uEvJUyVKO6LXNH6xP6WhuBd3QL/uo6yTWNORERE5SdmVzLicWT7B5B8/XUkXnkZ8bd2I7NnjxjaV/AxiZdflsVuxWntC22B88+fsMAtlhEKXHA+gpdehsDGDRjYdhix56bnS69ERERUm1jgJluY6prZojg+ckS6GMFdaZ2dnWhra6v4fqn+yG8zB/KnHOV0MPVzfNj/+u5/JY6P3Z9DKflaYyP8Z54h2xAzm0V6//5cwXuw8J188w2YnV3wKflFtELpYv1tZ3t7Rfo/0/KDDUGgYfry7Xh8HC1eBM7xwn/2bLh75yPTlYCZ0aG4HWhe0g7VoVW8/2Iacd9p7bLpAynEX+pEbHsnsp3509LlZUGB3+Uds21chonU7n6Z6T9zdtmfQymYz3zmM79e8yuxD+bXbr4eDssZkESB2ozH5eVwi4kWy99WqMViiBn5S6ykJ1kjWywvlNy1C95TTrHUf/8ZZyA8ew6Uzs7h29VgEMGLLkTwssvgP/dcqG738G3+9R2TFrgLvk/RVPleB7sm7Z6l/o/cVi7Mr/4+mM985tv3fB/VJxa469R0TS9e6ijqqeaLEdxTHRk++phwmnKyK/HmQaxxQvV5fNj/+u5/JY6P3Z9DufIVhwPu5ctlw9XvGd6e7elB/Pnn0f0fd8mR3gUf6/OVPHrbLseH+bWbH2ppAkSrof5rITeC589HYOM8ZA5F5ajuxMtdMOLZsV9gKGEtS+/q1qJPjtTD75j5zGc+86uRX4l9ML88+WIWIj0ahRGJQI9EYUTFZQTG4HXfmWfBc8IKS/miuP3uRz465f4HNOtfuhPTlhdb4B7Z/9lXXI7wr+5DYNPFaLj0UvjPOgvKOMsHyZlu5gbk+5SJ8ofep4hZhHyntSG4cR569UjZCty18PczU/MrsQ/mM5/59j3fR/WJBe46MF1F597e3rIXmkudonzp0qVlP0bbtm1jgZuIiGiGcbS0yOnNg5deisi2R9D99X9DaveevPs0f/CDcNTREjBE5Typ4ZoXlK3xqiVyDXExqltcQi99DnPP6pay9pOIiKgWiWV1Ys8+K0c0Z/v6cgVrUcQWxexweLiobaZSE+bM+t//q2CBeyKqz/oX0Molvn07Wj5+U1H3NU0TZtqA6tbQ9tnPYtZtt8kvrhZDjOLuP5T/vn4016IGeT/vya1ythqpM1JUPhEREdUWFrjrwHQXnUdqaWmpSrF+OtYZn65R7kRERFT7FFVFw2WXIrjpYoQffAjdX/860m+/DdXvR3ORJ+BGEycqEzt2IHDRRTNyqq6+vj7ce++9E97n2muvRVPT9IxOpsoS62WLkdei6bGMHNEd23EMmYPjj5wqRPU54F4Usrx/I63LKc4VlybXDiciIqrFNauTr+9E9KknEXvyKSReeQUYNcV3KURh3CqxZnW1JLZvl4Xryd4fJ3f3YeDB/XA0e9DyoVXQgkFL+xEjsgce2Aczk3+MVb8TvrWz4F83C8726h0HIiIiKi8WuOvE6DWmC42+LkcBeLqnKB8q2O/bt6+smYUK5OU4RkRERGRviqYh9J6r0HD5ZRi4/365vqCjxAJs77e/g55vfhOe1avR9qefhX/jxhlV6M5kMnjnnXcmvQ/VH83vROCcObJljsUQf6kLidd7Jlyve4hnVQsUzfq/E7EmeP/PB0dpqbk1NKEp8lJxKIC4FD87RmwX+3Ec3y5/Hry/fLwj/36qxwHV75DPTx1qXmdJ/SUioplBfOEx9syziD31JKJPPwO9p6fs+xDTlFul+n1VHbme3rcP7nFmZ9TDKfTfvw+JV7rlz5mjcejRNLRA4enIxyP+uy1GZsd3dIoFt+FZ0SRHa3tWNufeDxAREVFdYYG7ToxeY7oco5N7CrwJX7duHexY4C6EI7iJiIhoiJj6sHHz5pIfL9b27v3BD+T15Ouv48Atn4Tn1FPgP+MMqP4A1IBofjlCXJPXA4Pb/dD8frnu90wqhlP9cs7yI3SZaIuQ6YrLQnfite5xR3Z7S5yePPn6iM8qRm6UHDKACR3TybduFpq3WJsWloiI6n2U9uuIPjk4SvvVV8sySnsiYl1uu4zgdi1aBO+6tYA6tsBsGiZizx3GwG/egZka8d9vw5RFarE+tlWBs+fIEeC+dR1wNLqn2n0iIiKqYSxw14k1a9aUvShcqABcienQxXN55JFHpn20dSVGoxMREdHM0POt/4QZzx+tmnz5FdmKoqqy+C0K35oohPty14cK47IoLm4fUSx3tLbBs3qVvI2oFjnbfHBe4EPDBfOR7U8h+Xq3LHin9g+ISrScXtyzzPqMCUYyi+Se6nxZVYzmtkqPpNH57y8NjwKXI8J9DmhNHrjmBuCcGzi+DigREdmCKGiL2X9iYpR2hWcIFOt0W6V6vdPSl/ydqPCceCJ869bCu3YtfGvWwNHaWvCu6YMR9P1iDzKHChfrY88fRWDDXMtfAHXND8pGRERE9Y8F7jqxfv16bN26dUyBeipF3NFFZVHcrkRR+JJLLsEdd9xR1tHWhQrklVy7nKicxNpV4XA4b1tDQwNH/tXJ8WH/67v/lTg+dn8OdszPdHai74c/HM6Pjhq1E1DVyfMNQ56sFC07Sf/z8h0OrP6v78qR4nY5/gMDA9Oab7e/n5mSL0ZRBc6dK5uYdjS5qxdGPAPFqVrex7Hn30Y4fvzkftDlL+tziKRjedtG5osCtVVGLAO9PyVbwXy3H64OP5zzgnDJFoCzw1/SdKr1/DfEfOYzv/b3MZPyY88+h/Cv7rOcX9L7xFH0caYon6j/YrYixe2GmUpZ2tdE/Rd5baefDv/6dbKg7T31NPlFzcm+pDbw8NuI/e6I/LLb6Pzh/0YejEJ99QDaTp4/7b/fcqmlv8+ZmF+JfTCf+cy37/k+qk8scNeJTZs2jdkmRnSL0dClGj0ivFIF4ULToO/du3dKmYUK5EvHWfuHqNaJNxSx2KgTo8Eg31DUyfFh/+u7/5U4PnZ/DnbM7/nmt4ZPForzdAkz/8SlH6pYBrAsxuTrOlwrV5Yp3Z7Hn/n2yxdraoo1MUvdR8/Lh5BMJ4e3BVw+KGX6V2bCRHxE9uj8UgrcejQzab5Yb1S0+AvHchsdClyzA3DOC+SK3vODcLR6oaiKLX7HzGc+82svvxL7mEn5gY0b0Pvd71rLL9P7RGOcKcon67+YplwffM+qeL3y57wmZgvK+/n4dbGcDjwedCWTUL0+qA0NcC+Yj9kLFkAtMP14ob4lXu5C/wP7YEQyhe8z6r+RXc++jdaT5k3777dcaunvcybmV2IfzGc+8+17vo/qEwvcdaJQIfuFF14oa4H7+uuvRyWIUeKi3zt27Bi3L9P1pQAiIiIiKzJHj6L/xz+u2v49q1dzinKaUcyMjlSVpicveQR3vPCJ/AllTaQPRGSL4YjcpLi13JTmYvrVwcK31uielpNKYl1UI5GFEU1Dj2SGL7PhJPoOHoaZyMop5h1tXjSe7IZb9CXgKns/iIhqlXfdOln0Hb1EzXRSnE6owSDUYGnv/Zbcfx8Utweq1wNFs740hmEYSBw9avlxme4E+n+5x/J/v5Nv9MkR36qP/30hIiKisVjgriNbtmzJm6Z8KqOexYjn0aOeb7jhBlTKjTfemFfgFsX6qSg0Gp1TlBMREdFU9fznt2FmSihelYlv/diZb4qRPnAAzrlzoRQx4oaoliR398PM5I9+q/U1uMUU5eVgpnSk9g3INrLgLqc0HxrlPcc3pX1kexLovOsVGGLUuWGOfS6mgUQ0f/mn7hfiUBUVWoMLzjm5NcVd8tIPLTQ9BXgioqmOQkvvfxuJF19E/MUd0BpCmHXb5y1lqC4X/Geeiehjj1nvgKrBs3Il1JZmhNpnwdHQAE0WroPQggGogVwRW24LDG4To+TcU3tNdbS0oJLEf6/Djx9A5PEDgD72vymTUsSXSWNwLGGBm4iIiMZigbuOfOELX8grcD/yyCMlZ41+rCieV2L97SE333wzbr/99jEF91L6UGj09y233DLlPhJVi/hA6/fnr2vFE4f1c3zY//rufyWOj92fg93y2z79KTl9Y9/3/htGPC6nmPQq+UXjcv6GR+e3bdxouf+iIL9/83VQxInZc86B/7zz5KVzVvuUjo/X6y241MxIPjHSyTRt8/tlfm3lC+l3IvC5PPn7KOO/MpE1UX6pa3AXm19KdvLNPtkE8e8r7s3C2e6D56RW+E9ts/Q7UDwOGOH0+LdP0H89nIYe7kXyjeMFcNXnGFH09svrjpbxp1q3+98o85lfy/mV2Eet5hvJJJKvvor4iy/JorZo+ohBHY5Zs9D++b+wnC+mKS+2wO1ob4dvw3loWLsO/jPWy+J1udcvraXjn3yrD/337kG2J1l8/oj/xnhXtSB02SJ45pfvXGQtHR/mF5/v8XjwqU99asy2cu6jWMxnPvPte76P6pNijj7DRLa2du3avJHPpf56RQH47rvvHv5527Ztlqf0FgXpoUK5eKzV4vToPtxzzz2y0G6VyBhZ0Bb96OvLnQCaLl1dXWhvb8/b1tnZiba2tmndLxEREVVHtq8PPd/6Fvp+8EOYyeJP5E2FGgphxbPPWJ5iMr59O9754IfGbHcvXw7/uefKgrdv3Vqo45w4Iqom8flG708h252QI8NM3ZCjwsysmbueFdvEdbFt8Lbh+wzdlv/z8ceIx+cuRbaYWtxM548Wn/M3Z0N1W/ueeN+9exB7LjfNeCX51rSj+YYTLE9Nfuh/PVNw9Ha5iKnNnXP8uVHeg8VvZ7sXisYZJYgmw3MNxckc6xwuZMdffBHJnTuBbHbCxyz77aNwzpljaT/pg4ewd7xzZQ4HfKefDv/GDQhs3Aj3ihUzohAgvuwk1tkW622XQmv2oPHapfCe0IxKEf+G7rzzzgnvc+utt475t0dERJXD90BUCEdw1+Eo7pFrZYvirhgNbdXIwrJYD9tqcVsU2S+++OLhac5FUfnRRx+1tCb41772Nfz0pz8dzrjrrrtKKnCLx40+RkRERETl5GhqwqzPfx4tH/sYwg//BvHf/x7Znh4Y0WiuxWLQo1FA18u2T//ZZ5e0fmLsmWcKbk/t3i1b73e/K0d3+9atQ+DCC9Fw1ZVwNFfuJCPRRERxwNHkka1Sa37rsQyMWFaOlhbF2WpNUW6VLqYZt0iMrNYCTlmgmC5mWkf67bBswxwKnB1+NF6zFO4FDdO2byKqP6auI/XWW4jv2IHE4AjtzKFDlnNEITxkscDtmjcXriVLkB6cOdDR0YHAhg2yqC3ep2mB0tbKtiPxBanY745g4OG35ZIalmkKghvnoeGi+VCc1v9bS0RERDMPC9x1RhSARRF5aBS3KBJbLXDfcccdeT+LkdNWjSxuC+K62GZl5LQoiov+D42+FqPBRbNSbBdTto8c0S4ee9tttxX9eCIiIiIrHG1taP7QB2UrNPLUTKXyCt5GNAYjlvtZbD++LfezuE1ui8WPF8tFi8fhP/eckvoYHafAndfXdBqxZ5+V7djXvobA+ecjtPlaBM8/Xxa/iWYKcZLd0agBU5gh1Xd6O5yz/HJEeK5YnpFTtuq90zvbgxEprUitBl3TWuAuKGsiczAK1c2iBhFNTI/GhkdnJ14S7WX5vmiqEjteROiqqyw/rvkjH5Hv1/wbNsjZcGbCKO3R0gcj6PvFHmQORUt6vHtJCI2bl8nlNYiIiIiKxQJ3HRIFaTFVuSgqi/WnRcG62KKueMzIta9FgXnJkiWW9i/2ObK4PTJb3GYlTxTnxfMZmupcjE7fv39/UdOdi/194hOfGP5ZPKaUYj0RERFROYgTnorHk5v6u7V1ylOiK07rhWax3mTy1dcs7iyL6KOPyqaFQmi46iqErtsMz0knzciTuERWeU9skW00UewWxYD0gYgsDqQPRksuSheiR0vLEiO4qzHmXHGqcLT5SnqeqscBxcEpzonqlShgRx57DOEHfo3YU0/BzJT/VUoUzEvR9P4bMVMZyawcsS1GbqOElS1UvxOhqxbLL4LxPSURERFZxQJ3HRIFZDEduChyC6JgLbZNNr330CjrkcXtUkY7N08wheVEt41HrP99ySWXyCK36KN4XmLbRIVyUUgXjxkqtIv7isdYXQeciIiIqFanRC9F7He/A4z8NYWt0AcG0PfDH8rmWrYUoWuvReiaa+CcNavkTKKZSvM7oa1ogmfF8X/P+kAqV+w+EB0uepvJideNHY8RzcgpY8W041aogerM0uCc7bfcV6H/F3uQ2NUr1/F2zg7InKGmVem5ENHUGWI2maefRvj+B2Rx20wkpnV/yTfflDPoqH7/tO6nHohZiRKvdKH//n0wIiV82UAB/Gd0IHTZIqg+53R0kYiIiGYAFrjrlJimfPv27XLEsyj2isuJCtZiGu+h+06luC2IIrIopovpwUcS20otMIvitOifyBR9XLp06fD06yMzRUH7K1/5St4062JacjFym8VtIiIimunGW3+7FOk9e9H1f/8JXf/8L3KdydDmzQhuuhiq11u2fRDNNFrIDa9oq1uHiwhiOvOMLHrnCt6Zw1GYmSK+qGKKUY8Zy0VeLVi42KB4HPI2UQBXvQ5kexLIdsZLGrVXiHNOaWvVpo/GAMNE5mhcNowYhKkGncNFb1dHrujtaPNC0Tjam6hW19OO//73GPj1rxH5zTYY4XDldq7rSLz6KvxnnVW5fdpQ/MVOhB87kHv9L4F4HW68bhncCxrK3jciIiKaWRRTfGKmuiZGcN99992y+CuKvDfccMPw6O69e/fKkdFD61SLInQp05IXItbO/ulPfyqvi0K0yJ0qUeAWz2eoEC+IvornNXpqdLH9rrvusrRmd7l0dXWhvb09b1tnZyfa2toq3heqP+JlOxKJ5G0LBoOc0qtOjg/7X9/9r8TxsftzYP705u+/8UYkX35lwvzYqBHeflUtOl+MegpecTkaN2+Gd+3aMY+r9ePD/NrOr8Q+7JBv6iYyx2JyzercKO9IrrBrmDI/mj5edGj/1KloXtZhKV8U0jNHY1ADTlkcF2tyi2nLxRTgo/tvpHV4YiqyR+Ky8J4+HEXmSAzQrZ9maHrvcvjWz7J0fIxUFoe/+FzR+5DHR0/I0d6OFh+gKWgIBOVzk6PHVQWKpsjt8md5qY7dripwL2qAo8Vru78f5ts7f6rnGmrhOUyk+z/+A13/8v+m7X1KIWowCO9pp8G35nQEr7oKqVGDI2rp+ExGvCZ37zwk/5tgJDIwswYCDh+QNeV18eWo3KUO1e1A68dWW8vXDez96pPIdieHtwVcvqL6r7g0NFy6EIGz5+ReT2vo71P8u7rzzjsnfOytt9465t9esfl2+fup1Xxxrnfz5s152375y18WHMhUq8+B+cxn/tSx3kKFcAT3DCAKy6KJ4vBPfvITvPDCC7LwPFTwFoVgMVr7xhtvlCO/y0UUl0UrJ1GAF00U5YfW5u7t7ZXFbfFcRP9FQbvcz4WolsgTc9Fo3rZAIGCbAuJ0s/vxYf/ru/+VOD52fw7Mn978RT/+MVJv7ZYjuUWLv/ACzFTqeL4YmWPmnzj2QRUzSRZFTO05sPVnsjnnz89NYb75WrjmzStL/0cSWcbAANKHDiFzULSDSB14F4d270a2q1sW251z5mDptdcgeP75UN1uy/uw2++33vMrsQ875IvCgGtOQDYxxavMzehIH4kh9c4Awq/thx7Orb8dicbQZJqW8l3zg7IV2/+G+R3wLAwdv49uIHNMFLxjx4veh2Mw0/qE+3XO8Vs+PrKwb4EJE7FEHHhHtB65TQ00Q1Wsj+huvvGEggXuWv/7Yf7Mza/EPqaaH9y0aeIC9xTfpwiuhQvhPf102URR27V0ae6LLOJ9jGGg5+jRkvtf6eMvvvCUPhRBau8AUnv7kdjfj87+7vw7jfMap/pKOCWsAElXFqn08eni/S4vlEl+A96TWhC6eikcIXdN/n3OlH9fds3PZDJ44oknxmwr5z6KxXzmM9++5/uoPrHAPYMMFYfrgShiV2NkNhEREZGdiQ+fnhNWyNby8ZtgJJOIb9+O2NO5gnfizTfLtq/MgQPo/vrXZfOuW4vmj3wEAYvv34x4HJlDh5A+eHC4iJ0+dPy6MeoDtmGaiOvH1ytOvvoKDj7yCBx+PwIXXYSGKy6H/7zzylLsJqolilOT07065wXQtFSrbl80dbgAD8yS28Ra4GJK81zBO4bModxU60Z88N+rqsDZ4bc823nmSP5rQEWNMwJxMnokDcWtQXVV9/dEVIvcy5bBfcIJSJXp/YjicsFz0kmykC2L2qedBkdLC+xKLltxLI7knn5Z0E7tG4CZGvHloVHF/wmzilnqogDFUfxrl9bsQeM1S+Fd2VzSvoiIiIgmwgI3EREREdEMpXo8CJx7rmxC6shRqA88gOijj8rR3VZOlE4k8cJ2pM4+u+gCd2rPHrzzkY9C7+0ty/5FoTx8//2yiZHdgYsvQsPlg8Vul7X1iYnIOjGtt7PNJ5vv1OOFGn0ghcyhGPRwKjcF+qiphycjp0OvEjlVeQkGHn4biZe74FnRBO/JrfCsbIbq4akZoiENV12FrhIL3FprK3yDo7O9p58Gz+rVtv/vvPhykBihnRQF7b39MKKFR65aJacrtzjDh+QsYsYLTUFw4zwEL5zPL/MQERHRtOGnKCIimxEfQH0+35htVB/Hh/2v7/5X4vjY/Tkwv7r5ro5ZmL3lfcCW9yHT2YnIQw/BePhhZPbum3J26NrNRfdfa24uqbgtkjyjpuFUCkyjHv7VfbKpgQCCF1+EoCh2n3vupCfB7f77tXt+JfbB/Mrli8c5Gj2ylZpvtcAtptH1OvNncJhsat1xFShwT9Z/MZ1wcmePLCwlXu+RTRSCPMub5BS+nhNboPmddfH7ZX7t5VdiH0P52f5+xLfvQMPFF1nOb7jySnT90z9N/t95RZEjvpvWr4N/zRp416yBc968KT2fWvgdi1keRCF7aJS23peavte4rAk4LSyRoSjw+3xQnLFx812LQ2i6bhmc7fnP0y7Hn/n2za/EPpjPfObb93wf1SfFFF/XI6Ky6urqQnt7e962zs5OtLW1Va1PRERERKUQHxeSr72OgV/+EuEHHoDe3285w7d+PRb+9/cs7fPNtetgxq2trzsVajCI4EUXIXjF5Qicc46c1pSIapeY9vzwl56FmS7PTBNWtd60Gp4TrE27m9zTh+5vvTb+HVTAvaQR3pNa4V3dAi3I1yGyz7kGI51G9JFH0P/LXyL2zLOArmPZo4/AOXeu5ay33/9HSLz0UsHbPKeegtBVVyF42eVwzso/FnZkJLJyqnFZ1N7bL6cgr5Q5Xzwbqtfa2Ke+n+9G7A/565QLqt+J0FWL4Tu93XYFD/Fv6M4775zwPrfeeuuYf3tUGbX8ukdElcPXAiqEI7iJiIiIiGhc4iSl9+STZJt1+22IPPEEBn55L6JPPAFkj693PZHQ5s2W9+maOxep3btRKUYkgoF775Wt4+/+Fk3XX1+xfRNRCRSg48/XIX0kJkdyi/W4xWW2OwHLi3lXaA3uxGs9E9/BEEs09MvWf+8euBY25IrdJ7XC0Zg/KpOoViTfeAP9W3+G8H33QR8YyLst/OCDaPmTPylpmvKRBW73ihVyZHfDVVfCNX8+6oWRyuLwl38H6NUZeyTX4fZae4xYTmI0/xkdCF2+CKpv/BkoiIiIiMqNBW4iIiIiIiqKGNXccMklsmV7exG+/wFZEE6+/jriPh9eOv20sQ/SNATTKSj33INLL70UoVCoqH2JaUYrWeDO62+Ra4UTUfWIL8JoITe8oq08PpLaSOtyBGTmaK7wnR4sfJtJvaprcIsR54nXuy08AEi/HZZt4P59cM4PwndSS67Y3VJcRcrMGjCSWWgB6yPB0wcj6P7eTmg+J1S/QxauxAhN1Xf8uubL3664taqO3BTH2Mzow6P6Rb9KXSudJqaHxd/l/Rj42c/le4DxDDzw69IK3Jdfhr4f/ADByy+To7Xdy5ejHqluB5wdfmQORauyf/HvxSplcA1uxaXCvTiE4MUL4F7QMA29IyIiIpoYC9xERERERGSZo7kZzR/5sGzJt97C/l/8AgeTycJ3fusteXH++ecXnS8K3NXgP+ssOJqaqrJvIpo61aXBNT8o28hlD/T+1OBI7xgyXXGYKR0QBVE91+R1wwR0Y9TPI26Xl0ZuuzZ2FONE0u+GYUQyJT+vzIEIBkR78G04Z/vhObFZrkFsJrJyiuO8lszK7XJ0pkPBvC+fZ3l/ejQDI5yWrWiacrwA7nNCyyuMDxbHh4rkbk32b7ildRiDl2KKY/F7tKL//n2IPn1oTCHOOTcA14IgXPOC8lJ8KcJu0yfXCtMwEP/DH+Ro7ci2bTBTk68Nndq1C6l9++BessTSvhxtbVjy4K9t8bsa/lJNZxyelc3Q/NZGMbuXNU5LgVtr9uS+eOJQ5b+F4UunBsWh5C7d1v6dCQ2bFsiitsyywe+HiIiI6hcL3ERERERENCWeFSvQctNNwCTrF1rhmmdtzU7F55PTmovCuKNjFhIvv4zUzl2W99twxeWWH0NEtU0UYRxNHtm8q1qq0ofEqxZGb09iqFBflGxuVLMoZllhxEooxuumLOJPpZAveJY3QW3WpjxtsiicD42CH6IGnMNfgJBtXtDyGsQzTebIEfT/4hcY+PkvkDl40PLjxWwvbX/6WcuPq7XiqSxkd8aRGSxmy6L2sRj0vuOF/tabVkM74fiMEsXwLG1E9Anrx3U0rdEN99JGWTD3LA1Ba5ieZQ1kYXxakomIiIis4bt4IiIiIiKqOaNHcCtOJ5xz5sjtuTYXruHr86A1No45GZ5++22EH3oY4YcflqPIJqVpCFx8cUn97f3v78N/ztlwL11a0uOJqL5l+ycf7TpdxKhuzWqBO55FtYhR3KVOmzwZI5pBclevbEMcbd68oreYMrpQwXwmMdJpRH/7WzlaO/bMM2IahJKzwg88gNbPfqbmCtaFiNkexOwH2b7UYBE7litoH4tD70vKpQMmIu7nsVjgdi1qkLMfWF2HWywdIAvaSxvhWdYoR2zb4RgTERERlQsL3ERENiM+dEej+VOYBQIBfpitk+PD/td3/ytxfOz+HJhf//mRSKSofM/JJ2PO174K59Co7PZ2KKpqrf8tLWi55Wa0fvIWpPbvR+ThhxF+8CGk3nyz4OP9Z5894fTk4x2f9P63cezv/z7X71WrELr2GjRceaWcYnWm/X75Gsd85hfOb/3wKmT7kki81oPEa91yyvLJimWF8mPpRN42v8s7af9lgbuI0Zwj+z/Q3YdoKl5Ufrn7L6dWt0isB1zq8cl2JWSL7+jMbXAocM0J5BW9RfFQsPPfZzH7SL75Fvp/thXhX90Hvb+/pPy4mf/7M99+G8nXd8J70uqqHSNZuE7p0MNp6OHU4GUaRiR3KVskjexAErF4PO+xVv4NiAJ3Kf0X0+en9x+faaAQMZ24WPN6aJS2c5ZvzBrz9fwaOp355VKvx8cu+ZXYB/OZz3z7nu+j+sQCNxGRzRQqDvj9fr6hqJPjw/7Xd/8rcXzs/hyYz/whzvZ2hK69tmz57sWL4f7kJ9H6yU/K9UDDDz2EyEMPIzW4Pngx05OPlz9w36+Gf07u3Cnbsa/dAf+55yJ0zdUIXnwxVJ9vSv0vB7vnV2IfzGf+dOaLKdKDG+bKJgpqide7ZbE7tX8AKKKma8JENJ1fQPO5PFAweYHbav/Dvf2Ip+NF5Rer2P6LqaCtUlxaycdnjKyJ9LsR2YaItYwdc/3o9SfhnOOXBXDN57TV3+d4+/AYBqIPPoj+n/0cyVdfnVo+gJgx4o9Z1dB67rmAYf13WuoxMuIZhH97IFfIjuTWkRf/3or54oRpGlP6GxKjvkvpv5imfEyB26HAvaBBFrNFUds1LwBFU2f0a+h05ZdLvR4fu+RXYh/MZz7z7Xu+j+oTC9xERERERDSjuJcsQdunPiVbau/eXLF72yOyEF3KB30x0m0Mw0DsqadkE+uDN1yyCQ3XXAP/WWdB0axNFUxE9UdrcCFw9hzZ9FgGyZ25kd3JPf2WpyqeTLEF7pqZoryUEdxFTlFeKnE8km/1IRo9PrW56tOgzJ6N1g+sktOal4MeDiPx2mtI79kLmAac7bPg8PugeDxQPV5EU8my7Ef8tyvx4ksI//oB9D/zLJRUeafQdy1ejOCVV6Lhkkswb9UqqJPMwDKmf4aZWwfeNEtaSzr69CFUg1iXWxxbqyf7RREbj74r14TPjdAOwb2wQa53TURERESFscBNREREREQzllgzu+3Tn5atFIkdO5A5NPGJdDMex8C9v5JNTFve8J73yJHd7pUr+Y13IoLmd8K/vkM2UYxOvNGLxKvdsqCKrPVir+0L3CWM4FZdlS8EGnFdTkldynrdqXfCyHbGoQZd0IIu6NFu9P7oe9i/9R6YyePTrCuaA+qI/070Zsf+XvRoGlktCTNryC8HmBl98NIYsS3Xos8/i0N/+DmSe/fA6OuTj3drjiL+WyRun/iLF2ogIJfn8GzcAM+JJ46del5ME57U5ahqObI6Ki4zw5dym7gtKm4TxW3Ae0orWj5wYpFHdbCnXgcgfidl+LdTyt+u3p+SszVY4ZrfgDlfPBuqh6dpiYiIiIrFd05ERDbk9Xqr3YWaZvfjw/7Xd/8rcXzs/hyYb898t9uNVatWTXqf6Vbp4zNw3/2WHp/t6kLvd74jm3v5MjmqO/Se98A5e3bB/HKze34l9sF85lczX/U64D+9XTYjpSP5Zm9uZPcbfUDKgMfpntYC91D/W89bhExvAgHFCyQMOe2zGFErCt/yusgsYaB5Mf0306WP4C7l+FhRKF8Uqa1KvNKF6DOH87bpxgY0nbcCZjoCMxUBFAU+Twiqww1oLiiaE8lUHNj7wbzHHfvnHcj6Govar55xQN++HU7xg1J8Yd592gfhXHgekE3BzKYAPQVTT8ufVb8HjtltcM2fDbgdyPTEkX2uG0YiAz2aQWf2KMxYVhauxfTvVoiit9V/Y6KwLmZI0HtLG+0+1b8hMU35RAXuQv1XNEV+mWEmvMbVYn4538PW4/Gpdr7L5cKWLVvGbCvnPqxgPvOZT1Q7FFN8hZKIyqqrqwvt7e152zo7O9HW1la1PhERERFReRnpNHZv2AhjYGBqQaKIccYZufW6L7sMWiBQri4SUZ0Qo2+Tu/tksTtzJCYLf2K0pxitqno0WRjPNSdUr5bbPtic7b6SpnmedArpRDa/8D14qY/ZNtQmKYqrolCtofHqJfCv67DUH3E8Um8PyMeLYrcYAZw+EMm1Q9FpG80r1v6e+7fnWHqMaRjo/LenkTlifQaPnng/Tvu3a/K2vfTZX6GlyAK3melH9IHbLO/Xs/aP4Zx/JirN0epFx1+ss/y4zjtfRvqdUWtaV4Dqd6LxmiXwnZp/PoiIiIimhvUWKoQjuImIiIiIiEoQffzxqRe3BdNE/Pe/l+3o3/4dAhddiNA11yBw3nlQnHKcHRHNcKJo613VIlstUFRFTq0uGtqKL4qbyaxcc1wU7EVxWHWq8lI8v1Km+h4ipvn2nZzfEd+puZ9N3UDmaPx4wftABNmueEkj0Mfu12npS1Hh++5Hz3e+Da3jOjhaV6DySjzGYhR5FRQawV0MMYJ7Oqk+BxyzfHDO8sM5ywdHu7jugxaY3v0SERER0XEscBMREREREZXAtWABQu99LyIPPwwjFitLpplKIfLgQ7KpPp9cp1usZepZdaK8dC9bBmWCaRmJiGqVKIorPidUX2W/uKNoKlxzA7LhrNxyEEYyi/TBKNIHI0i/myt6i/WfrSpmenI9HEbfT36Cvu/9t1ymQvAvbEBVKNbXKnctWwr30hUw4qg4MyXWE9flyPxqFLjFTAiicC1buw+OwYK2GnAWsW45EREREU0nFriJiIiIiIhK4Fm5EnP+4e9h/PX/RvS3v8XAr+5D9OmngWzx691OxIjHkdixQ7ZhTqdcu9u3bh06/uqvyrIfIqKZRkzv7lnWKNuQ7EAKmQMRpA5E5KUofk+2HrgYOT6ezJEj6P2v76H/nnvGfAlK8YRQFUpxpwHFF6warroKje97LzynnoouMeX3uxFUgx7JwNFc/gK3mE5c3E98SUFcDregO3fZ6GYhm4iIiKiGscBNREREREQ0BarHg4Yrr5Qt29uL8K8fxMCvfoXkK6+Uf2eZDFI7d0H1+sqfTUQ0gzlCbtm8J7UOT6me7cyf2jxzLAYYExe4k2+8gZ5vf1v+t6DgF540FxSnF1WhTnwa0LtuLRrf+z40XH6ZLHIPMdM6qkWPpuFo9lh6jBhp7V7eKNeezxWtc8VrdaiIHXBNaUp8IiIiIqo+FriJiIiIiIjKxNHcjOYPfVC21P79CN93nxzZnTl4sKz7EdOVl8I0TY5GIyIqckp1Z4dfNv/6DrnNSOvIHI4i25uEEcnAOdc//Noaf+459PzntxF75pmJc91Vmp5c7FtMUS6aebxgrbW1onHzZrnkhnvx4oKPMyYZyT6dSpk63ruyWTYiIiIiql8scBMR2Yw4eRIbNcWd3+/nyeo6OT7sf333vxLHx+7PgfnMr6d8USho+9M/RetnP4vEiy/KUd3hBx+CMTAwbn7cNPO2+RSlYL5n1SrL/c+Gw3j14k1wn7ACnhNWwrvmdLRv2gTN7UY58DWO+cxnfr3nx9MJoFUDWv0QqS6XCwP33Yeeb38HqV27ispRHB4YiT5Z6FZULT8/k8i7r8/pnXr/HQoUhwbFqUIf6AHOPBswM3AtXAjfmWdi1qWXQHVOvC56sSO4rT4HxeOAFnTKEdZyqvCAM3c52MQU4Y4Wb139DTGf+cy3lj8wMIA/+ZM/ydv2rW99C6FQyDbPgfnMZz7R9GCBm4jIZsQbinA4nLfN5/PxDUWdHB/2v777X4njY/fnwHzm12O+uN23Zo1ss/7qrxB78kkM3PsrRB9/HGYmczwfQMzILyJ4NYcsoozmWWV9BHdy1y6E+3qB3/0u1/7ruxjo6EDrhz6MpvffCK3x+Fq0peBrHPOZz/yZlh/7+c/R+/V/t5RjhA8i9vDt4r8OUFx+uR63GmyF5+yN0Fcsh6L5YSSzcgptf+ssaG6HLE6Llon0Af+Wn9f8oRPR1tEOxZkrYsvmGHGpHn/+hmHg6NHTjj8n8X/a5OtbN21ZATORlSPYxbrkouAt2uifs8kskr1JmBkDqkuFGnDBN68Dzgb3mMK1nCbcaW2a8Hr8G2I+85k/cX46ncbWrVvztn3jG98o6z6KxXzmM9++5/uoPrHATUREREREVCGqy4Xgpk2y6QMDCD/0MAbu+xUSL2wvOkNxOuFeurSkAvdoelc3uv7lX9B9111ofO970fzRj8C1YIHlbCKimajxfVvQe9fdwIgvKxXPhOpzoOkD16Lpgx+A2tSEo0eP5ud3dEBVjxeBk11j16L2LA7B3Ta9054XO923KKAbo55D06jnQERERERUDixwExERERERVYEWCqHpxhtkSx88iP5f/QoD92xF5sC7Ez7OvXy5LHJbldz1xri3mYkE+n7wA/T98Iey+N788ZvgO/10y/sgIppJnLPaEXrPezDwi19Ye9z8+Wj+2EfReN11UH2+4eIwEREREREVhwVuIiIb8njGfnOf6uf4sP/13f9KHB+7PwfmM38m5rvmzUPrJz8J7cYbkTl0SI62Tr31Ftz730b6jTeg9/YO39ddwvTkQnLnTriUSUbRmSYi27bJ5j3tNFnoDl58MZQiprAV+BrHfOYzf6blt3z8pqIL3J6TT0bLH38cwUsuKfi6ytdQ5jOf+cyv7X0wn/nMJ6odiikmzyeisurq6kJ7e3vets7OTrS1tVWtT0RERERkT+IjW7azUxaoReHbe9JJCGzcaCnDSKXw5pq1gJ6/xncxnAsWyKnLR440JCKqF9m+PsSeeRaxp56C/7zzELr6PZYz3r3lFsSeeHLc2wPnn4/mP/44fOvXT2mtSp5rIKKZhq97RCTwtYAK4QhuIiIiIiKiGiaKIc5Zs2QLXnhhSRmpt3aXVNwWMu++i2N/92V0/+u/ofGP3o/mD34QDp5IICKbMrNZJF55FbGnn0L0qaeRfO01OXuFoEejJRW4Wz7+x2ML3E4nQldfjZabPiaXliAiIiIiovJhgZuIiIiIiKYsEongySfHH70mbNy4EcFgsGJ9ouOSu3ZOOUMfGEDPf9yF3v/8NhquuRotH2PRhojsIXP0KGJPPy0L2rHnnoMRDhe8X/x3v4OZTkNxuSzl+85YD8/q1Ui+/jrUYBBN778RTR/6sFyjm4hqmxgBeOedd054n1tvvXXMyEEiIiKqLha4iYiIiIhoyhKJBF544YUJ77N+/XoWuKsksGEDZn/1K0jt2oXI448j8867JWeZmQwGfvZz2fwbN6DlppvgO+usKU27S0RUTmJZhsT27bmC9tNPIbV7T3GPi8UQf+kl+M84w9L+xOtf259+Fql9+9F4/fXQAv4Se05ERERERMVggZuIiIiIiKjOOWfPRuPmzcDmzWi//XZEH3sMPd/+jiwATUXsyadkc594opyGt+GKK6A4nWXrNxFRsTJHjiD6+OOIPv4EYn/4A8xEoqSc2FNPWy5wD62zLRoREREREU0/FriJiIiIiIhmEEVVEbz4YtkSL7+Mnu98F5Hf/AYwjJIzxcjww7fdjs5/+mc0f/hDaLzhBmgcrU9E08g0DCRf34noY79F5LHH5etQOUSfeRrtf/5nZckiIiIiIqLpwQI3EZHNmKaJeDyet83n83Fa0Do5Pux/ffe/EsfH7s+B+fWfH4vFpjXf7sen4vmnnIJ5//LPSB88iN7/+h76f/YzmKPuYyU/fPgwwl+7A+q/fR2h667D7C3vg3f16rL0v25/B8xnPvOLzjASCcSe+52chUKM1s52deXlJ0wz7/5eRbHc/9TOXTLX0dZW9v5PhO8Tmc/86uSXS70eH7vkV2IfzGc+8+17vo/qEwvcREQ2I95QDAwM5G3zer18Q1Enx4f9r+/+V+L42P05MJ/5zK9OvmvePHT8f3+Fts98Gn0/+Sn6/vu/8wpHReWLkY+GnvshGkH4v78HVyyKeXfcUZb+T/YcmM985tdnfqazMzf1+GOPI/bcczCTyclfgwZ5NAdK6X30mWdyyzqUof/F4vtE5jO/OvnlUq/Hxy75ldgH85nPfPue76P6xAI3ERERERERSVoohNabP4GWj30UAw/8Gr3f/jZSu3eXnOffsKGs/SOimSFzrBP9P9sqi9rJV1+tzE4dDvjWrIF/w3nykoiIiIiIahcL3ERERERERJRHcbnQeN1mhDZfi9gzz8pCd+zZZy2GqAice+50dZGI6pgRCaP7X/9t2vfjnDsX/o0bENiwAb4zzoQW8E/7PomIiIiIaOpY4CYisiGXy1XtLtQ0ux8f9r+++1+J42P358B8e+Y7nU4sXLhw0vuIqc1m4vGxa76Yci5w3rmyJd98E73f+S4GHngAyGQK3t85YjJgzyknQ2tstNzH1J49ub4uXVpwyrtaO0bMZz7zy58v/v07589H5sABS/kjX4MKUTwe+M5Yj8B5G+RIbdeiRZam1qyV41PL+2A+8+2W39DQgC1btkz4OHGfUvPLaSbmi88P559//pht5dyHFcxnPvOJaodiTvcZJqIZqKurC+3t7XnbOjs70dbWVrU+ERERERGVQ+bYMfR9//vo+/FPYEQi496v7XOfQ+snb7Gcf+gvPo/w/ffDOWcO/OdvRGDDRvjPOhOqzzfFnhORnRz9h39A3/f+e8o5rmVLhwvavnXroLrdsCueayAiIqKZiO+BqBCO4CYiIiIiIqKiOWfNQvuf/zlabvkkBn7+M/T+1/eQOXRozP0C52+0nG3qOmJPPSWvZw4fRv+PfiybmDLdt369zAxs3ChHXRKRPej9/SXN5hC86KKSCtxilLb/7LMRuOACBDZugHP2bMsZRERERERU21jgJiIiIiIiIsvEWrXNH/kImj7wAUQeeQQ9//ltJF99Vd7maGuDe+VKy5mJV16BPjAwZruZTiP2zDOyHfuHr8C5cAH855wDz4oVcipj97JlcDQ3l+V5EVF5ZnqIPPQQBn79a6R378HyZ56G6vVayvCtXQs1GJxwpogh4jUncOGFCFx4AfxnnWV5X0REREREZC8scBMREREREVHJFIcDDZdfjuBllyGxYwcGfnkvtKYmS+vaDok++WRR98u88y7633k3b5vYpyh0i+mI3UuXwS0vl0JrbS2pL0RkTbanB5Hf/AbhB36N+PbtwIgV8aJPPCFfJ6xQnE4ENmxA+Ne/Lni7e9WJCF4gitoXwrN6FRRVnfJzICIiIiIie2CBm4iIiIiIiKZMFJHFiEvRShV7orgCdyF6Xx/izz8v20hqKCQL36LYLYrewyO+29tZ+CYqw/TjYgaH8K8fROx3vwMMo+D9xO1WC9yCKF4PFbjlUgVnnYmgGKl9wQWcepyIiIiIaAZjgZuIiIiIiIiqLtPZieTOnWXPNQYGkNi+XbaRxNTHoug9NOI79J6r5DTHRDQxPRpF9Le/lSO1o88+C2Qykz5GjODWozG5tIEVYg3t0Hvfi+BFF8p1tVW/tccTEREREVF9YoGbiMhmTNNEIpHI2+b1ejkCqU6OD/tf3/2vxPGx+3NgPvOZP3PzY089XdQ+kiOmPRY8ilLScxDr+iZeekm2oUKamM68lo8R85lfrXwjkUD08cflSGxRrDbTaWvZqRQiv30Urk2bLPVfC4Uw5x/+fsr9Lwe751diH8xnPvOZX+78SCSCv/zLv8zb9tWvfhXBYLBs+ygW85nPfPue76P6xAI3EZHNiDcU/f39eds8Hg/fUNTJ8WH/67v/lTg+dn8OzGc+82duvhGLyWKWPjAw/j7EiU5Dz9vm1hyY8jNwOOBasKDmjxHzmV/JfCOdRnD3bkQffAiRxx+HGY9PKX/ggV/DuW5d3Rwfu+VXYh/MZz7zmV/u/GQyiW984xt52770pS+NW+CuxefAfOYzn2h6sMBNREREREREVdf8kQ+j6YMfQOKVVxB98km5Hvd0TFleiGvRQihOJ8xx1g8eT+zZZ5E5chTe00+Da9EiKKo6bX0kqgQjlULixRcRefS3iD71FFpSKahlOnEZfeYZNITD0BoaypJHREREREQzFwvcREREREREVBMUTYPv9NNlw//4H3JdbjF1uSi0xZ5+Wk4rPh3EGtyl6PvpPYg89JC8roZC8J56CrynnSb77zn5FMvrDRNVWrarC/EXX0Rix4uI7diBA6+8AmRHrKmtOcr67zu1ezd8a9eWLZOIiIiIiGYmFriJiGzI6XRWuws1ze7Hh/2v7/5X4vjY/Tkwn/nMZ/5wXns7Gt/3XtnMTEYW4JTfbEN6926k3n4b2cOHy7If99KlJT2HofW7BWNgALEnn5JNUlW4ly+XBe9cOxWOBQts9ztgfn3l6+Ewwg88gPiOF+VI7czBg8O3GaYJhy6WACjfVJNiZgT/+RvRcMUV8G/ciL5kEjP5+Fc7vxL7YD7zmc/8auVXYh/MZz7ziWqHYorJ84morLq6utDe3p63rbOzE21tbVXrExERERFRvTHicaT27Ud67x6k9uxFau9epPbsQebAAbFQXNE5c//5n2QBzorM0aPYc8GFlh6jNTYOF7w9q1fB0d4OR1ub3M7pzakSst3d2H3ehundicMB/zlno+HKKxG8+GJoBdZJpdLwXAMRzTR83SMiga8FVAhHcBMREREREZEtqT4fvCetlm0kI5lEev/+waK3KH7vQXrPXqTffRcosM62a8QI7lJGbxdL7+9H9PHHZcvjdMLR2iqL3bk2eH2wAD7cWlrkNM9EpRJ/Z84FC5AR/xbKSVXhO+MMNFx5BYKXXAJHU1N584mIpkkymcTevXsnvM/SpUvh8Xgq1iciIiKaHAvcREREREQ0ZbFYDM8///yE91m/fj38fq5JTNNP9XjgOfFE2UYy0mmk9789OOI7N+o7vX8fXIsWWd5H4kXrBe5xZTLIHjki24RUVRa52z//Fwhdc0359k+2Y6RScnrxkdPrF0usET9QpgK3d+1aOftBw2WXyi9hEBHZTTgcxtatWye8z6233soCNxERUY1hgZuIiIiIiMpS4H7iiScmvM+qVatY4KaqUl0ueE5YIdtUxV96ERVnGMh2dQEljOLO9vbKNZedc+bAOXs21FAIilK+tZZpeohV5bKdnblZCMQU/Lv3IPnWm0ju3AXN78fy5561/Hv0igL3vfeW3CfPySfL6ccbLr9M/i0RERERERFVGgvcRERERERERBZHz4oCY7WUMlI28corOPjpz+RN7+6cOweO2bNzRe85c2WxUmwTl2J6dE6HXuFC9tGjuWn1xewCe3PT6ot15Y1IZNwp79Nvvw334sWWC9xWuVeuzI3UvvIKuObPt/x4IiIiIiKicmKBm4iIiIiIiMgCUVj0n3UWEi+/DCMctkWBe/T050Y8LkcDi1Z4Jw44Z80aLno7Bkd+y0L4nNm5UeBeb6lPYcYyxSj8I0eGp8gXBeyhYrYRi1nOS+x40XKB271sKdRAAEY0OuH9xNr0Q0Vt95IllvtGREREREQ0XVjgJiKy4eiOZDKZt02sBcUpJuvj+LD/9d3/Shwfuz8H5td/fiKRmNZ8ux8f5ld3H8Xmi8Lvgm/eLYuV6f37kXjpJdniL74oC5UT5adMM2+bW1Es99/R1m65/5nDhy3tA9ksMocOyYYXCvdfC4Xg7+iAc3YHnLM64OiYBWdHBxyzOuDsmAVHRwe0QKCiv1+RIb50IKb1znR2yinds52idSJz7BhiYq3znh6Yhi5HsXv9AWg+n7yu+rxQvF7M+sJfQQtYX05hZP/F34Y45sqBA8js23d8ZPa+fTDjccvZ4/39xF/cgcb3vddSjhiZ7z31VMSeeeb4NqcT7tWroZx8MrynngLfKafIL1LY6TWC+dXfB/OZb8f8cqnX42OX/Ersg/nMZ759z/dRfWKBm4jIZsQbir6+vrxtHR0dfENRJ8eH/a/v/lfi+Nj9OTCf+cxnfjX3YTVfUVW4ly6VrfF975Pb9HAYiZdfGS56y1HegyNlRWkybOh5Ga2aA1Z6Lwqx4xVfJ+p/5pDFAneh/NH97+uFFg4jvXv3hP2dc8fXENy0afL8CfovC9exmCxUj2yji9iimalUwXzDNNGtZ8ccf3XU77fjr/4KVh356y+i/7770O10QPV4oPf0wkwlC+aXqtDfT+DF0taCD5y/URb0vaedLqcs95y0Wo7aP3r0KMQe5KTofX22eo1gfvX3wXzm2zG/XOr1+NglvxL7YD7zmW/f831Un1jgJiIiIiIiIioTraEBgQ3nySbIUd5798rR3bEXX8LA73+PzIED4oaKTU8uZEZNUV4pYip0NRC09BgxwrrvRz9GtrsbqVgMencXsl3dJY98tkqM4rZKfIlBPFdDz6K032xpxIwB+sCAHE1vRfNHPiLbSIZRyZ4TERERERGVjgVuIiIiIiIiomkiR3kvXy5baMsWqEePwtR1ZPv6ZCG3VYxM7unJjT4WI5G7ugdHJHfKAq+YKrwsBW6rU5SXkZiu3Aozm0X/T38ir3vKOAK6GIqYalFVLT/OGLX8QiWJWQICGzdWbf9ERERERESVxgI3EZENORx8+a7n48P+13f/K3F87P4cmG/PfPG4tkkKb+I+0z1CsFaPD/Pts4+K5Dsccq1qdHQg2NoKdZyCqhj9rff3Hy94d3ZBbQha7r+ZycjHl4NmaUL1wT7NKr7ALfqvtbWVtJ9iTJYrplQvhRi9XUz+VBXKT731VtkK3HXx74v5Vd0H85nPfOaXM1/TNKxatWrMtnLuwwrmM5/5RLVDMcXk+URUVl1dXWhvb8/b1tnZOelJXyIiIiIionLLHD2KvZddPu7a1NNJTJ294ve/s/y4t845F3pvLyrNOXculj36iOXH7b/hRiRfeQXTSlXhWrAArmVi3fdlct1s32mnlTyqn+yH5xqIyk/8G7rzzjsnvM+tt9465t8eERFVDt8DUSH8ygURERERERFRHROjxU946UVZMBZTlWcOHxm8PIzMkdxl9tBhuZZzuTnESPVSHtfeXpUCd6kjuM1EGdcH1zS4Fi6Ee+lSuJcvg0tcLlsG16JFUN3u8u2HiIiIiIjIpljgJiIiIiIiIqpziqLA0dIim/fkkwvex4jFkDlypEARPHc9e+wYYHGZAces0ka8OdrbkHrjDVSa4vOW9DgjVkKB2+GAa9FCuJctzxWzlw0WshcuhOJyldQPIiIiIiKimYAFbiIiIiIiIiKC6vfLAqtohQyt5S2L3sc6kT12FJmjx5A9ehSZY8dkAVysFz6yCO6cVfoI7rJQFGiisN/eBmdbu8wVTfG4YSYSsjBtiEvR4nFZcC6FePy4XXA64Vq8WBawc6Oxl+euL1ggbyMiIiIiIiJrWOAmIiIiIiIiokmJYqxYo1q08ZjZLLLd3bmi99FjcHbMKmlfxawrrTU1DResRQFbXDqHf26XGWLEeiWKyB1//b+hRyKySC4K52IEtnPBArlWtmvBfCgOnn4hIiIiIiIqF37CIiIiIiIiIqKyEIVcsea3aKVN9p3jWbEC/nPOGVHAzhWxZQG7rQ1aWxvUGprGu+GKK6rdBSIiIiIiohmDBW4iIpsxTROpVCpvm9vtlusqkv2PD/tf3/2vxPGx+3NgPvOZz/xq7oP5tZPvuvBCtF94oW37z3zm11p+JfbBfObbMb9c6vX4VDs/FovhH//xH/O2ff7zn4ff7y/bPorFfOYz377n+6g+scBNRGQz4g1Fb29v3raOjg6+oaiT48P+13f/K3F87P4cmM985jO/mvtgPvOZz/x6za/EPpjPfDvml0u9Hp9q58fjcfzN3/xN3rZPf/rT4xa4a/E5MJ/5zCeaHuo05RIREREREREREREREREREZUVC9xERERERERERERERERERGQLnKKciMiGNE2rdhdqmt2PD/tf3/2vxPGx+3NgPvOZz/xq7oP5zGc+8+s1vxL7YD7zmc/8auVXYh/MZz7ziWqHYorJ84morLq6utDe3p63rbOzE21tbVXrExERERERERHZF881EJWf+Dd05513TnifW2+9dcy/PaoMvu4RkcDXAiqEU5QTEREREREREREREREREZEtcIpyIiIiIiKaskQigVdffXXC+5x88snwer0V6xMREREREREREdUfFriJiIiIiGjKIpEIHnzwwQnvs2jRIha4iYiIiIiIiIhoSjhFORERERERERERERERERER2QIL3EREREREREREREREREREZAucopyIyGZM00Q6nc7b5nK5oChK1fpUS+x+fNj/+u5/JY6P3Z8D8+s/P5VKTWu+3Y8P86u7D+Yzn/nMr9f8SuyD+cy3Y3651OvxsUt+JfbBfOYz377n+6g+scBNRGQz4g1FT09P3raOjg6+oaiT48P+13f/K3F87P4cmM985jO/mvtgPvOZz/x6za/EPpjPfDvml0u9Hh+75FdiH8xnPvPte76P6hOnKCciIiIiIiIiIiIiIiIiIltggZuIiIiIiIiIiIiIiIiIiGyBU5QTEdmQqvL7SfV8fNj/+u5/JY6P3Z8D8+2ZLx7n8/mmJdtqP5hfv/mV2Afzmc985tdrfiX2wXzmM5/55cwX0x+3traO2VbOfVjBfOYzn6h2KKaYPJ+Iyqqrqwvt7e152zo7O9HW1la1PhERERERERGRffFcA1H5iX9Dd95554T3ufXWW8f82yMiosrheyAqhF+5ICIiIiIiIiIiIiIiIiIiW2CBm4iIiIiIiIiIiIiIiIiIbIEFbiIiIiIiIiIiIiIiIiIisgUWuImIiIiIiIiIiIiIiIiIyBZY4CYiIiIiIiIiIiIiIiIiIltwVLsDRERkjWmayGazedscDgcURalan2qJ3Y8P+1/f/a/E8bH7c2A+85nP/Grug/nMZz7z6zW/EvtgPvPtmF8u9Xp8qp2fSCTw7W9/O2/bxz/+cXi93rLto1jMZz7z7Xu+j+oTC9xERDYj3lB0dXXlbevo6KjLNxRf+tKXitpWT8eH/a/v/lfi+Nj9OTCf+cxnfjX3wXzmM5/59ZpfiX0wn/l2zP/GN75Rln3U6/Gpdn40GsVnPvOZvG033HDDuAXuWnwOzGc+84mmBwvcRERUs/7mb/7GcoGbiIiIiIiIiKgYosD96U9/utrdICIiIou4BjcREREREREREREREREREdkCR3ATEdkQp3+p7+PD/td3/ytxfOz+HJjPfOYzv5r7YD7zmc/8es2vxD6Yz3zmM79a+ZXYB/OZz3yi2qGYYvJ8IiorsR5Fe3t73rbOzk60tbVVrU9EdlTojRP/s0VERERERDMRzzUQlZ/4NzXZFOW33nrrmH97VBl83SMiga8FVAinKCciIiIiIiIiIiIiIiIiIlvgFOVERERERDRlyWQSe/funfA+S5cuhcfjqVifiIiIiIiIiIio/rDATUSY6VN91OPzrsfnRERUz+rhdTscDmPr1q2TTu/IAvfMVQ9/51Q+/HuoTfy9lA+P5fhm4rGp1+dcr8+LiKhe8XWb6gmnKCciIiIiIiIiIiIiIiIiIltggZuIiIiIiIiIiIiIiIiIiGyBU5QTEdlQNpvN+9nh4Mt5PR0f9r+++1+J42P358B85jOf+dXcB/OZz/zpU2/Hx275ldgH80vf13Rk8jWC+TMpvxL7YD7zmT99+URW8S+QiMhmDMOQa6OM1NHRAVXlpBz1cHzY//rufyWOj92fA/OZz3zmV3MfzGf+TM/v7u4uS1a9Hh8751diH8y3Rvx7mzVrlm36Xyhf07SyZFfz91sudv/7tHt+JfbBfOYz377n+6g+scBNNA3EC/5o03mioFwK9dEO/Z5pz1v8ffX09Iz5UDnyDYXdnpMVXV1dUz4+tYz9r+/+V+L42P05zNT8Yl+3a7X/Q/2NxWKT3sc0zZLyi1HLx4f55Xl/Uu3nwPzy5Y/39zD6s1St9r9e83t7e6ftc0Q9HB8r+VZf8yrxOa9WjlGpz6NW+l+KQs9P/HsTn2/t0P/x8gtll/qaUa3fr9hezHtYRVFKyrfz77cW8q28XtTqc2A+82spv1b/GzyZ8c6P0MymmKPPMBHRlO3atQurVq2qdjeIiIiIiIiIiIiIiIjqys6dO3HiiSdWuxtURfYYTkVERERERERERERERERERDMeC9xERERERERERERERERERGQLLHATEREREREREREREREREZEtcA1uommQzWaxe/fuvG3Nzc1QVX6nhIiIiIiIiIiIiIiIqBiGYaC3tzdv2/Lly+FwOKrWJ6o+FriJiIiIiIiIiIiIiIiIiMgWOJyUiIiIiIiIiIiIiIiIiIhsgQVuIiIiIiIiIiIiIiIiIiKyBRa4iYiIiIiIiIiIiIiIiIjIFljgJiIiIiIiIiIiIiIiIiIiW2CBm4iIiIiIiIiIiIiIiIiIbIEFbiIiIiIiIiIiIiIiIiIisgUWuImIiIiIiIiIiIiIiIiIyBZY4CYiohlv69atuOSSS7B06VIoioKmpib58913343+/v5qd4+IiIiIiIiI6sS+ffvk+Yfbb7+92l0hIiKyLRa4iYhoxnrkkUdkMfv666/HmjVrsG3bNvT19WH79u3y51tuuUXeLgrdRERERERERERTIc4viOK2KHKLRkRERKVRTNM0S3wsERGRrT9UigJ2Y2OjLGgvWbJkzH3E6O21a9fKD50333wz7rrrrqr0lYiIiIiIiIjsR5xP2LFjh/xC/egvz2/ZsgX33HNP1fpGRERkZxzBTUREM3LktihuC+LDZKHitiCK3+JDqCA+iHIkNxERERERERFNZmgJNHEpZo376U9/ittuu23c8w9ERERkDUdwExHRjCOmHRejs8U05GL09mREMXyouC2mMBeFbyIiIiIiIiKiQobOIYiC9rp164bPI4hZ4sSIboEjuImIiErHEdxERDSj3HHHHbK4LQyN4p7MyPvdfvvt09Y3IiIiIiIiIrI/scyZaJs2beKX5ImIiKYBC9xERDSjjFxHW3zQLIYY6T2E05QTEREREREREREREVUPC9xERDRjiGnA9u3bN/yzlbWvRt5369atZe8bERERERERERERERFNjgVuIiKaMR555JHh61anCBtZ4N62bVtZ+0VERERERERERERERMVhgZuIiGaM559/fvh6c3OzpceOLIiPLJQTEREREREREREREVHlsMBNREQzaoryUqYnH10QHznNORERERERERERERERVQ4L3ERENKFLLrkETU1NFdufGB19/fXXY+3atXK/iqJg6dKlsh933HEH+vv7S86eSmF69JTmU+kHEREREREREdXfeQciIiKqDBa4iYho3NHO4sOe+OAnPtxN9wc88SFy6AOl2KcYYf2FL3wBd911F7Zs2YLe3l7cfvvt8sOnuM9UR1FbXYN7NNEfIiIiIiIiIipNvZ93ICIiounjmMZsIiKyIfEBTnyg27p1a8X2N/KD42233SY/YBYqQIsPoLfccou8FB9Kv/a1r8n7VwO/0U1ERERERERkHc87EBER0VSxwE1ENMOJD3jiW9PPP/+8/AA3cp3q6Sb2dfHFFw8Xi++55x75renxbNq0CXv37h3+trX4QCx+Ft+2rnRBmiO4iYiIiIiIiCY3U847EBERUeWwwE1ENAOJ6bbGK/gOfdCb7m9Si/2P/JA5NCVYMbZt2ya/SS0+JN99993y+mTfqC53QZojuImIiIiIiIgKm4nnHYiIiKhyuAY3EdEMNPThTkzHtWbNGtx8883yW8x9fX3ycv369dPeh+uvv364H0N9sGLkt6fFN6onWxuLBWkiIiIiIiKiypiJ5x2IiIiocjiCm4hoBjJNs6r7F9N8iTZErH1llZg2THxAHZraTHxw3b59+7j3L7S21lSUO4+IiIiIiIioXszE8w5ERERUORzBTUREFSe++TyyUFzsFGGj3XjjjcPXxQfOSq7j1dzcXLF9EREREREREdHMOu9ARERE42OBm4iIKmr0B0LxjehSjf6AOnL6sMkK0lOdspwjuImIiIiIiIhqT7XOOxAREVHlsMBNREQVNfrD4FTW3VqyZEnez3ffffe0FaRHF8Q5gpuIiIiIiIio9lTrvAMR0f/P3t/GzJGu+WFf87zp7O5ZLV/O7sqGtfKQihJJBmIMSSAOICsJOfYHAY4M8CVwECkfRA6wAozIiUgzMGB9MEKRcmDAsATMUF/iAEFIDiA5iAJEHAZShMA2ZjgIoJWUOOaM5RiOvFqSs9bKks7qiMG/j25OsVjdXVVd1V3V/fsBPXzmebqr766ul/u6r/tlAeyMBDcAO/Xo0aO3/j/rWW2jHmx+8sknrZLcL1++7PQ+9ecbwQ0AAADTs892BwBgNyS4AdiZL7/88p2R0PVAsat6oPrkyZOVz71w4ULvKcpT9qHKDAAAABxeuwMAsBsS3ADszKeffvrO77YNNOtThTe9R/HBBx/0HsFdDZC37f0NAAAAHF67AwCwGxLcAOzMGL2c61OFV0da112+fHmQEdzVRDkAAAAwDftudwAAdkOCG4CdqQeBQ6xjfebMmXd+98UXXzQ+NyOvqz23Vz2vrp4Mv3btWudyAgAAAIfd7gAA7IYENwB7CzTr03z10RSsrutN/eGHH3aeVqz6vCtXrgwSIAMAAACH1+4AAIxPghuAnek6LXhf6wLNW7duvQlOP/roo1bbe/jw4Zuf7927N0AJAQAAgENsd5hC+QDg0ElwA7ATTUHcECOhm3pjv3jxYu1rnj59+iYg/fjjjzeO3v7kk0/eJLerU5wDAAAA0zCldodV5asmxk1zDgD9fWeL1wJAay9fvtzZe23qSZ21uJOsvn379nLK8gsXLix/17Sdq1evLn++efPmcvQ3AAAAMD1TandIZ/k8pyTdnz9//s4yafn7+fPnF5cvX36zzncS8qvaKACAb0hwA7ATU5uGK8nqBIxJYCegTAI7ye78LkFmRm0nAV6mMs/fAQAAgGmaUrvD48ePlzPG1UeQ1/+/PrNcPkM65EtwA8B6EtwAHFxP6rZBbXpJv3r1ahlMJvi8dOnS8rUJODMVeYLKJLaHmNIMAAAAOI52h3SUzwMAGIcENwCzNkTyOUlsI7QBAACAOp3eAWB6vrXvAgAAAAAAAABAGxLcAMzalNbYAgAAAA6LdgcAmB4JbgB24vTp0/suAgAAAHCgtDsAwPGQ4AYAAAAAAABgFiS4ATi4ab5Onjw5ynYBAACA+dDuAACHSYIbgJ0YK/h7+fLlO787e/bsKO8FAAAATJN2BwA4HhLcAOzELoO/M2fO7Oy9AAAAgP3T7gAAx0OCG4C99aZu6gU9xHRjpgoDAACA46PdAQCOgwQ3ADtz+vTpwdfCevHixTu/u3DhwtbbBQAAAOZFuwMAHAcJbgB25v333x98m03BqrWwAAAA4PhodwCA4yDBDcDOXLx48Z3fbdubuj7dWIJMU4UBAADA8dHuAADHQYIbgJ25fPnyO7/78ssvt9pm/fV6UQMAAMBx0u4AAMdBghuAvU4V9vnnnw8aaF69enWr7QEAAADzpN0BAI6DBDcAO3XlypW3/v/58+e9t5VpxupTjV27dq339gAAAIB50+4AAIdPghuAnbpz585b///pp5/23lb9tQlirYMFAAAAx0u7AwAcPgluAHY+XVh1yrAvvvii97aePHny1v9/+OGHW5UNAAAAmDftDgBw+CS4AWjl5cuXo/Wm/vjjj3ttp/q6BK+XL1/eumwAAADA7ml3AADakuAG4B0vXrwYdfuZ0qvam/revXudt3H//v23/v/x48eDlA0AAAAYl3YHAGAbEtwAvKNp+q5tpvRqksCwrFv15ZdfvhM4rvP1118vbt++/Vagevbs2UHLBwAAAIxDuwMAsA0JbgDeCiazntSnn376zt9u3LixnJorQeEQEhg+ffr0zf8ncPzkk09aBZmXLl16K8i8devWIGUCAAAAxqPdAQAYwonXr1+/HmRLAMxGgrrqOlIJ3vooPaEjQWN1+q8uwe3Vq1ffBLDrAscuzwUAAAD2Q7sDADCm74y6dQAmK8FlCRSrAWOf7Wwjwenz58/fBL/59+7du4tr164tzp8/v3xO/p7e3WW6sqylZXowAAAAmC7tDgDAWIzgBmBSMl3Yw4cPl72l8ygBcYLKy5cvL65fv96rxzYAAACAdgcAmD8JbgAAAAAAAABm4Vv7LgAAAAAAAAAAtCHBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAs/Tpp58uTpw4sfbx4YcfLo5d9tOpU6cW9+/f33dRmJCcG5vOnxw7AAAAUyPBDQAAAAfs9u3bi6+//nrx8OHDfRcFAAAAtvad7TcBAAAA+3Xr1q3FmTNn3vn9+++/vzhmX3755eKLL75Y/nz9+vV9F4cJuXr16uLcuXPv/P7FixdG+wMAAJMmwQ0AAMBBTLd89uzZfRdjcj766KM3P9+8eXOvZWFaLl++vHw0dYqQ4AYAAKZMghsAAOBAZVrqrKH78uXLxfPnz5f/n5+TwMrP+TcJridPnuy7qJNwiPvrk08+eTOS/eTJk/suDgAAAGxNghsAAOBAnT9/fpmUXUfS8xunTp3a+Jw57a9MTV6+/4xwXycJ/Dafv0jC/NmzZ4t9JOwztXZbGbVeHcUOAADA/ElwAwAAHKgkNT/77LM3o4+bkt0XL17cS9mmuo53dbT23PdXNbF77dq1Vsn7fPa2yfMkm69cubLYpdu3b3d6/pw6JAAAANDOt1o+DwAAgBkmbB8/frycUjtTbjeNZN11gnLK7t27d1D769GjR8t/M636pkRv/v7q1avF69ev3zyyD8rnbXr9rkdGlxHpTetGp3z57uqfId8pAAAAh0WCGwAA4EicPn36naTg2bNn91aeuZnT/spa4mU09qbpyVfJZ03SuHzuenI/77FpCvwhJaGeMjQl2+/cubPybwAAABwWCW4AAIAj8fDhw7f+v2kkLN+orzE9p/1VHV297ajz0jEiSeR17zO2jz/+eGWyPmuCAwAAcBwkuAEAAI5ERtxWffDBB3sryxzMeX9lfey4efPm1tsqo6KTRK6PYE/SeRfyPinHnDoZAAAAMA4JbgAAgCOQqaTLlNWFZOFq2Vf16bfnsr9KcjuuXr066LbrI6izn+odAcaQkeJDJOsBAACYPwluAACAI/DFF1/Mdj3pfagnbee0v8q04WOMeG5KMo89TXk6GuT47buWOAAAAIdFghsAAOAIPHnyZJajkfdlrvurOqJ6jBHPTUnzjBivzw4wpCTQ855z6WAAAADAuCS4AQAAjsCc15Oewv66fv36Yg4ePXo0epmbRlKPuRZ3tm30NgAAAIUENwAAwIGb83rS+zDn/VWmC89o5/fff3+U97hy5cpyJHfT+461nnjeEwAAAEKCGwAA4MhGIyf5abrnbvurntCdorJWdYw94rk+/Xn1vYeUxPm1a9cG3y4AAADzJcENAABw4Oa6nvS+zHV/ldHOuxjx3JRAH3oUd1lP3PTkAAAAVElwAwAAHDjrbx/H/ioJ5kxNPvYI/aYp0Idehzvby3uMNdU6AAAA8yTBDQAAcMDmvJ70Psx1f2V68FLuXY14bnqf6ijyIRL2Rm8DAABQJ8ENAABwwLZZTzpJ0yQYz58/vzhx4sTi3Llzy9HMY6y1PKf9Vd0vp06dWu6b/Jv/v3///mIfHj58+ObnXa1ZXV+HO+7evTvY95CE/VifJYn4jBDP93X79u3F1atXl8d2vsMc5/lO09mh6XV5bp5TvvtyXmRb9c4RYynlaDoGc2we8jkKAADwnX0XAAAAgGmtJ50kXZJ+SaLl+XncuXNn8fLly+X2kkR7/Pjx6Os8T2F/VT9jWQ86+yfTZme/JLlZXpf9lcRiRh5n/+xyau0yPXjK1LYDw1BJ7urU5GUk+bZTpGcfZt+P8VlSviSHu8hnzDmRpHc+W9nP+f/PP/98eWzkkefkbyn/0NPE572y/er+zjGW7+DMmTOL58+fLz9b/p5HynHv3j1TvAMAAAdHghsAAOCAdV1PuowMTXLs2bNnbyXHMkK1jAy9cePGQSa4V+2vJBbz+bM/kkisJy+TZMxr8/wkGdMJoL7/xixzGW286ym98371tbeT3E1ita98lhyH9c4GQzl9+vTy+E6HjaYp6etluXTp0vK4z/Gez9WUuM7fc07k33wf6fhw69atrfbDqgR7pCwPHjxY2QGgJNtzHOa56XABAABwKExRDgAAcKC6riedBG6S20nKJblYTc7m90mYle1l24c2DXLT/rpw4cKb6aeTJEzSetXI3DLavUjCcxeqyctddzrIMVLfH/WEd1ePHj16M0p6DEkK5/jOd5nOCq9evWrsiFA6KuTfPD/7edV3n9dne9X9X86nbeW8S0eCktwuMwSsG91eOqjkuekssKljCwAAwJxIcAMAAByoLutvJ4mWRxJnGXlalQRfkmR1u5wKex/7K0nL7JP8PgnONsnjakKzjOYdW0ko72tEfX3UeBKx23zuJGV3ORI9x3HTSOt8lzn2kyhum2yvT02/bXI5+6G6rnv2TdPa56vkuXlNvo9tOx4AAABMhQQ3AADAgVq3nnRVEmh5rEriNk3hnGT50GsMT21/JUGdpGB+3zbBmemv69sYU7Xjwa6nJy+aEq5JqvaRYy37rEsSdwhNx3IZud31OH/69OlbnT+SXK4mqbt8t9WkdI7BLvuljEAvx8VQ06UDAADsmwQ3AADAEa+/Xdb2XZfEze+rCbsyxfOhaRp1nKRgl6my66PaMwX2mEoiOe871pTemzS9d5KzZUrtLsr+3vXsAPWOCZFkcp99mrLfuXPnrd/lHOvS2SHJ6fr05l07DSS5XX3PbHPdeuMAAABzIcENAABwpOtvJwmZ0Z2ZVnlTIu+rr756s/Zv1iw+tNHbTfsrU03Xp2tvs52qMROK1anAr127ttinJHDr+kyJnfW39zUSvW6b9bNz3NST9E37aJX6c3N+djnnctw1dTCQ4AYAAA6BBDcAAMABalpPuv73JPCStG6zdnOSdRnRuq91nvcxevvBgwedt1NPII45EjnJ4GLfSeGmUdddRxyX6dancow1jeruoj6deI6xNqO4m9a875IcX1f2Q+uYAgAAHCcJbgAAgANUn0K8OkI7ibZMV57poHe91vGc1iuvdwpo47PPPnvr/y9evLgYS0kgJ2nZp6xDqx9LZT3tLp/nkI7H69evv/O7u3fvbnxd01rZFy5c6PTe6WxQn30g+1aCGwAAOAQS3AAAAEe0/namjS7J7a7Tbx/T/mpKTvbZzliJ50w/XZLH+x69XTSVo+0o7jLd+lQ+yxDy3ddHtddHZm8amR9JSveZCSDn+LNnz5bfQTpwdB1RDwAAMFUS3AAAAAemaT3pJMkyJXkSiEl0SW53W6+877rHXUfetlVd33oqU3o3jSRvuw53RjbntYc2wrjp+183qr3pGNqmk0Rem5HbfY5nAACAqZLgBgAAOIL1pM+dO7f8fUZ0HtI00ENoGnXdZ8TsUNtpo4zGnVpSuGkEdpskd55zSKO31yWnm87PdX+b0vcLAAAwBRLcAAAAB76edJGRoZcuXVpOUX7//v1O6yMf63rl+9jOJhnlW0acTy0p3NR5YtPU2Enq5tg8xI4XZ86ceed3L168WPn858+ft9oGAADAMZPgBgAAODD1UaBlve0kXMtax7dv316cP39++WizLvAx7a+LFy8Ouu750KoJ42vXri2mpp6oTkeK+hTw9c9ziMntaBrBv25f1KcnX7UNAACAYybBDQAAcODrSSe5nSR3Rhi/fv16+XNJmiX5mLW5k4xtSq4duqHW385+rO+/sUZwlym/s/0pJj+bRpWvGsWdfZYOFlMbiT6U06dPv/O7defZy5cvRy4RAADA/ElwAwAAHJCmdaDrkvB+9erVW3/L6zJ9+bHvr6x33Cdp/PDhw7f+/8qVK4sxVBPpU00KN60Lvmod7kePHi2f23ScHoKmhPW646spIQ4AAMDbJLgBAAAOSH0d6AsXLqx87tOnT99KtiV5mqnLj8lQ62bXp3m/fv36YgzVkdBjJdGHUE++l5HadZlNYKqJ+iE0jdauJ/83Jb+PcWYFAACAdSS4AQAADkiXdaCTTHvw4EGrkbaH6vPPP9963eymNabHSj5nxPOY2x9K05ra9WnKy3471PW348WLF+/87syZMyuff+7cuXd+9/z588HLBQAAMGcS3AAAAEe8nnT979nGphGj9feYq3zOJFmr+kyVvavpyTMCeurTk1c7T9T3QzpfVI+tJLzznCmuIz6U+vG16Zxs+tuhnG8AAABDkeAGAAA44vWkm/7etG5wkSnMr169ujjE0dvZF+umj16lPup93fTkGaHbd5R8SaSnnH2nUt+lpiR89bPn56kn6oc+J/PdretE0XTO1o9TAACAYyfBDQAAcMTrSTeNDj19+vTaUcR9ksCHuv52RujWR7yvGsFdpuTuu//KGtbXrl1bzEH2Zz1ZW6Ypz2eZS6J+yNHbbb67+nOaZmboY9U66AAAAHMjwQ0AAHCgo0XPnz+/8TX1xFmSjqtGfZdE27oRyoe6Xvkq9XWl160nXZ7bJ6lbHfk8p1HP9f2R4yeJ37t37x702ttNx0aZAWGTpucMkZjOPm/z/gAAAFMnwQ0AAHCk6283jTJd95pHjx6Nusb0vtff7pN4LvukWDd9e57bd989fvx4+W9Gf/dZJ3xbm9ZlX6UpGX/jxo3lvp96on7bUdP1qeiT0G8zej/PqR8nTcnyPuU55BHzAADA8ZDgBgAAONC1fvtMhb3uNUmyHkJye6j1t5P0rSd+VyUQ8/3kuXfu3Olc1ryufL/72P9J9K5bl32d7NP6PklyO0n6qU91X9Y876M+UjrH171791q/vv7cfAfbjOLOa3McGcENAAAcAgluAACAI15Puj4a+Ny5c43PS4ItSdY+Cdo57K8LFy503kY96btuZHUSi/l7n9HX+5yevKwx3jTiva2mMm9zHPUdTd4nKdxnFHdec//+/Xc6h6ya+r9Jkv9l1H515Hvfz57XpnPE1DsVAAAAtCHBDQAAcIAjktuuJ9024ZUpkvc1PfZU19+u77tV+zKJ0iSHHzx4sNhmJPE+Rj0nMdr0cxdNo863GYnelHTum3zfpOtxkQR0/TUZjd1navDso1u3br217T7fQcqT1/Y9/gAAAKZGghsAAGDmmkbXth2RXE9aN40QLSNSD2l64yHW345qwrkp+VySkll/uU/ngOz7Utbr16/3KmOf98z3ferUqbf2U37O7/K3riOb8/mbfu5arhyDTe999+7dN9NwDyUjqDNK//z58622m+dcunTprfKlY0g1Sd1VkuPV1+czrlvnvSm5nc4cmbGgywhyAACAKZPgBgAAOMD1pLskU6sjO+vrDpcRqUkA901MTn30dvQdmV5dK7meeM3/JzmaxHcSnX1UXzfm/s/3fOLEieUj09QnkdyU1C3rOOc55fltkr/VacrbTrOeZHoe1XLVp/6uliuJ3/L88tptOmXke3v27Nly2++9997aNbBzTOU5pUNAXpuk8hDfWY6x6hTnKUf2RdNxXJ3WPs/JtSHl6NuBAwAAYIq+s+8CAAAAMKyuSbUkd5NAS4IwCbr8m9HCn3322TJR1rQe8CHZZrrsvDb7O/spicckYEtyM79LYrG+3ncXJama7exiBG7X92g7YjrHWNnPXToTZPt9P3dZO3wbJcmdUfg5L/L/+Rxlrfrnz5+/tVZ3ypr1xbcZtd0k75ljIAn7HFd5v3Q8yftdu3ZtWZ4XL14sz98ktfO58/yU3chtAADg0Jx4/fr1630XAgAAgO2UqYi3SagmaZbRokmQJVGWRGQS3UMn64aSz1vWO06iscv61EPsr6okOTPauoymzxTxGam8TfI830FGgEc6GGyzLdZLQjgjvquSHK5P35+p0PO95FzJI8njHHf5vpMA39VI6RxvmW2hlCNlSznKkgM59vqu157tlQS+0d8AAMAUSXADAAAwS9skuOcgScqM1g2h+/4T3MdCghsAAJg6a3ADAADABD169Gj5r5HbAAAA8A0JbgAAAJjg6PSyfnRGcgMAAAA/IcENAAAAE5P1vCNrPJsiGgAAAL4hwQ0AAAAT88knnyz/vXbt2r6LAgAAAJMiwQ0AAAATTG6H6ckBAADgbRLcAAAAMNHpyd9///19FwcAAAAmRYIbAAAAJuLrr79efPrpp8ufb968ue/iHI2XL1+2+h0AAAD7J8ENAAAAE/Ho0aM3P5uefLcdC9r8DgAAgP2T4AYAAICJTU9+9uzZ5YPxffnll4sbN2688/vbt28vvvjii72UCQAAgNW+s+ZvAAAAwA4TrSWhavT2uPv5/PnzG0dpV5+X9dDj6dOn1kUHAADYMwluAAAAmNDo7bD+9riS2E7SuiSu277GutwAAAD7J8ENAAAAE/DJJ58s/718+XKnxCvdZOr3169f77sYAAAA9GQNbgAAAGbv3LlzixMnTrzzmMtU35maPFNix9WrV/ddHI5Azo2mcybnEgAAwJRJcAMAAMCelamvM3Lb9OQAAACwminKAQAAmO1U0/fu3Vv7nPfff38xB5mW/MmTJ8vPBLuQmQI2jdZ2PAIAAFN04rWFpwAAAAAAAACYAVOUAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADQE9ffvnl4vz584v79+/vuygAcFS++OKLxblz5xaffvrpvosCAAAA7JgENwD0bFhPcvvrr79e3Lx5c9/FAYCj8v777y/Onj27+OCDDxYff/zxvosDAAAA7NCJ169fv97lGwLAoSS3T548ufjqq6+W/wIAu5f7ce7L9+7dW9y6dWvfxQEAAAB2wAhuAPYm04p++OGHyylGT506tThx4sSyofr27dvLkdFTTm7H06dPJbcBYI9yL85I7tQdjOQGAACA42AENwB7SRLfuHFj+W9cvnx5cfXq1eXPz549e9NA/eTJk+XfprbmdpLvUysbABwr92cAAAA4LkZwA6yRBGxGFQ/5yEjljFhOQ2ySuvfv33+T6D0GSV6X6UQjDdF5ZB3rPF6+fPnmuVlXM43WU5HylDW32zSej3H81I+l7MuUa4jjKJ+ty/uXkey79sknn3QqZ2YJAOBwZQT3gwcPlj+nbjWlugPAXMwtdpkC8RMAwP5IcANsMPQU1AmC0/CagD6BZqbUTKBbAslDCPRXyeetBsv1UVb5ex7110xByp3vLY3oH3300U6On7y2/qgfSzleMtV7OY7ScJQGo75TvHcpbzmGdy2ftQvTyAO7XnqjXI+rHduSeE0nr10kX1OOvF+1HClDSSrsYhmQXZfhypUry0e2W2aFAaCbucUum9Tfq55szz1723hG/DTNuhDANhKz5Nq1K8cYv8EgMkU5AO09e/bs9eXLl7O8wzuP999///WrV6/Wvj5/f/78+evHjx+/vnXr1uuzZ882bifvc0jymauf8ebNm+885969e+/siytXrrzetydPnrwpT34e8/jJfmojx1G2leNo1fayP7eV8uQ7yPZOnjz5znvkvXcpn7m8b70sKV/2x6ZzEGBoufY0XSNXPXIN2/Z+0iTX/VKvSHly/c7vPvroo2WdI/eZahna3nPmUoZc/8v3kPcC4PVRxS5FtlW9L+e+lPdNDJr7Uj0Gz3Nz3xgijjjW+GkqdSGAba+Z1Xhl7PalY4/fYFsS3AA9pILTFKTl5t9HKgdNAWdTEniuSpBfHk0Vomoiedt9OqRS0Rsq2T708VPkeNmm4WmdVHKzrfr3uOq7HEtplGoqx5CNYgBtVe/fuUbVO6jlGlltNKh34hqqMb26/XWN9LnXVp871LVzCmWI3EvLdg+tsyDAPswpdqnei7KtlHHVvSi/r5ehJHyHcEzx0xTqQgBDdU6qPsa6Pk0hdppCGWBbEtwAPTUF+dsGw3l9U5A/94Cv3iiSz7Spt30eU0jwV0eVD9kQMcbxs6qTQPbltmVPRbbMLFDf/i5HyeX98hmbAg8jAIBd39tKb/a2Pdlzvaxfu3J93eYanetydcRU23tJvTF6G1MoQ1Upy7r6BgCHFbuUe1HXJHXTLGJDNNwfQ/w0lboQQFfVmTWrI5R3keCeQuw0hTLAECS4AXpqmn5riCC/OvKoGuTPOcld/0xzqQRVp1Ufeqr0sY6fVR0ltj2GUuEviYKmKf12dRyV95LgBvatNIR0vacNeZ+vTsndZzTdEL3wp1CGdft4qHsrwDGbeuxS7kV9E6VNs6lt+/mOIX6aQl0IoK11yyismuli6OvSFGKnKZQBhvKtYVbyBmAoN2/eXFy+fPmt33399deLq1evLubq2bNnb/3/+fPnF3Nw+/btNz/fu3dvMRdXrlwZ9Rj68MMP39n2p59+uhjbRx99tDw/AKZwf/jiiy+W19pcm7rIdezWrVvvXEf73BtzXc9r4/333+98jayWPZ/pyy+/nGUZ6lKGkydPLn++cePG1tsDYNqxS671ec3jx48XZ8+e7VyGplivbHMIhxg/TaUuBNBWuaYnTihxS+4br169Wv578eLF0cswhdhpCmWAoUhwA0w8sVokAL5///5ijuqVndOnTy+mLpW9Tz75ZPlzgvY+DSVTPIbKZ9pGU+W3a6NGn2MoDSj1xiGAXcv1KPfj3BeePHnSaxtpSK/fV8p228o1vdo4fufOnc7lyP0tjRpF145QUyjDpntV7ucff/zxINsEYHqxSzVuS4L03LlznZPHuQ+VjlHV7Q51/zi0+GkqdSGALv7xbMbLhHYG4uQ6nE5W9ev/WKYQO02hDDAkCW6ACUploamCdffu3cUcvXz58q3/31XlcRvVfT3HpGp9FMSQx1C+v/r206g01AiHJgk85tjRADg8ZZRXU2N8F02vzzW67bW0+vpcl9M408f169ff/JyG8DzamkIZVqneu+c0CwvAMdomdqkns5Mk/eCDDzqPKGuKM/ombw89fppKXQhgTqYQO02hDDAkCW6Aibpw4cLa3umMq9pbv2+Fb9+qPSqLVDqHmD6oKek/5gi5bHuOHQ2Aw1OuddtO+dn0+tznHz16tPG19UaEVYmBNur3uLYjyqZQhnXSoF/ug7nv7WIqWAB2H7us+nvXuLkpEfz5558vhnJI8dMU6kIAczKF2GkKZYChSXADTNSqntafffbZzstybBKwl17jc17zedUxNETPyqZpnMaq0JbGqbl2NAAOR0mSpjFgiGtpU2N+1n/bpH693Wa9uPq9om1j+xTKsIlR3ACHH7vMZYanQ4mfplIXApiTKcROUygDDE2CG2CiVk3jPcToW9pX+jK93VytWut8qGOonvwv67yN8X1cu3Zt8O0CdFWmKk3jbtb5PHHixFbBfFOv+TYjjesjm5oah7dpoGgz6m0KZeiyf7NfTXkKcHixy6oRaF2Tu033iFVlOub4aSp1IYA5mULsNIUywNAkuAFmZuggm3cbNoaasmeqXrx4Mch2mqa8G3oUQr6PNHCYnhyYgqZG9lyf+nYcOnfuXK8y1Bvhtx29Vm/c2LTm6BTK0EbKVC2XKU8BDi92ScfwZ8+evbmP5N/cQ7rel5ru5ds2/h9i/DSFuhDAnEwhdppCGWAMEtwAE7VqlJEAcFzVxu9U1laNpJ+Dly9fjnoMVdc3HWtaomwv7zF04xLAkPfmviON+oxWa3qvbRsn6uXY9HmmUIa2qh3VTHkKcJixS2KFJLlfv369/LdPJ+Wme+/169cXQzqE+GkKdSGAOZlC7DSFMsAYJLgBJurzzz9v/L11iMdV7XE499HbqxofLly4MNh7NI0MGHJaooxoMHobmIpVnZ52ObvKGD3j659rU6PyFMrQVnWpkVV1KwCOI3ZZpalRPvelMWLvucdPU6gLAczJFGKnKZQBxiDBDTBRTWtxJeG6bQ+7ujJ9WdbPOnXq1HINrfyb/8/vj60HXrVx4eLFi4s5a2rIbxo1MOQ6cnH37t1Btp1jLxVk62//ZCRGRq/k/My/V69ebRU85Dn3799/5/zONraZShCOVVODcQL7vh2iVo1WW9dIXD9vh5hp5MyZM+/8bt2aoFMoQ1vVe16SJ657AMcbu6zSNMPHnTt3RnmvucdPU6gLzYUYDphK7DSFMsAYJLgBJijBTJMhp9ZMsJUgKSOb8nMaD+7du7d8jwTdCSjz+/w9z2vbqzzBV/1Rr+Bkm03PK4HbvtTLOedpsZvW14kxevPXG2myH4cIujP6IKMm5jxN/BDSEJLvLfsi+yTnas7HNHCsmtIw331ek+ekwSwjX6rndxqSSoPLqusN8K403uY8Kp3N8v9Pnz7tfZ16/vx54+/Xba9+fR2iAbjp/dZdx6dQhrbyXVW3fWwd9wDmYJexS13et16nThx469at0d5zzvHTFOpCcyCGA6YUO02hDDCG74yyVQ7K3//7f39lhRNWSYX7+9///r6LMUsJapp6cGc6mSGCvFQ2EmyVZG4CrgcPHry17TIVW55Tehnn3wSvm6a1aSpjU2PFFKc2qzd6Dz1afpcSCNfl84zRUJMgvB6kJ4hvKkNbOWbSADDGNEpzkv1a9kMZFZHGjVxjc15m36fho9oZI8/P+Zrvu/q66vmdESkZEZBt3L59e/HixYutvi84JjmHhpqydNVsLX2mcB3ausaJKZShi1wnyz0+18Wm0XOwzq/9f//mXt7329/97uLUb/snO7/u1d/6Lxc//s3fXOzDD3/77+j8mv/61/724kd/779Z7MPJX/wnFt/53vc6vea/+fWvFz/9c/NOvh1z7FKXunA9Th2yY/khxk/7rgtNnRgOmFrsNIUywBgkuNkoye1/5p/5Z/ZdDGbmV37lVxa/9/f+3n0XY5YuXbr0TsWjKcDpGzxWt59gaF2jQQKuZ8+evQmi0jic0dfrguZXr16987u8vhq4JnifYuNytTPP3EdvN/UKH6uxI/sqgXi1Ipv33ybYfvTo0XKbc2/c2EbpwZ9zpb4f8v/lO05DSDl287vympxnq6ThLo0iZVRMRgDk5zl36oA5ahpNXF0zepsOY100dS5Lo+lUy9BV9dpm2jz6+N/9r/7oXt73zD/1S4v/+f/2z3R+3X/wp/6txYv/4j9f7MP/8uH/ufNr/vK//2cX/8l//P9Y7MMf/rf/dOek/P/zL/6FxX//6v90tDIdm13HLlVJKlbfO/ezxL9j14nFT/3rQlMnhgOmFjtNoQwwFlOUA0xEgtt6IjiBb4KeIYLUsv1SsUkP4DY94lPpqTYuJACt93I/xHXf5hok5vttahAYu6GmPn1gyrHNNLAJ7HcxJeGUlcaPpoauajBSpnRMA132Wc7rdQ0jRX1tPr3/YbdWTU+57t68ap3KXfa+n0IZusqIqaG3CcB8Y5fqiNlq7P3VV1/tLA4UP/WrC02dGA6YWuw0hTLAWCS4AfasTFGVxteS3E7gk+BmyMC+3nCQacnbShmqU5Clp/AhjoCqVsTmmOBOg8h777331ucooxDGHpHeNCK/TYDeJOXP8TXFUf67lP2Xzi1tpv3PsgZpoMs+a9vIUd9utYMHML6mc3VTg+6uppabehm6qt/TNbwAHGfsUhKKiY1LcrtMSZ733eW6z+KnfnWhqRPDAVOLnaZQBhiLKcoBBvTZZ59tfE56zmVUdpnyu1Q0EqikN25Z63pISaBXGw4SPHUN3rPeUxoDqsHY2GuT7VK+h2qlrzraa+ryvSSQrvf43zTF2ZByPOW4rZYh5co+7Xqs5fhc1ShwLHK+5rGqoaOenEmnkzQEbvN9H2KnFbaT4ywNwFNPBpb7566ud0PI+Vbfr0nCbmrc3GXv+1UNIVMowxAJ7jl2ZAM4BLuMXUo9Jveu+j0l9Yd0+h5qLemujj1+6lsXmjIxHPsmfpueKcROUygDjEWCG2BACVD6SFCd4HqMgLRpTbM+PbsTeKV8pbLSN/ieqnoA0LSWzNhSuW+z1lwqp2VKs6bAJd9vppHfdeN93rPeUJVjr2sv/Kwf12WGgUNUOpOs6uzS1FP/kDqcMN2GxynadkrPfbhx48akzuEp3MvHLIMR3ADHGbuUta6bkpB5pHN5nlPWP961Y46fplYXGoIYjn0Tvx2PQ4/foC0JboABJTjZ1AM8FbkENmkMSPBapknLo0xNNWQlod57OAF+3+2nh2U1WZ5Aem7ToK1S79G4j5FdXSv4+R7L95kgOj11hx7930UZNVDtsZmGry4NNKVRYF8jKabi4cOHbzqV1JUGwqrs467H7BwCX/Yr52Hua1M/Vso1cC5yH62Ptsl+HnspiWNWv5ZmJh0ADj92WTcaOPfikmBOgjuPPH+XU2Qfa/x0qHUhMRz7Jn4Djo0EN8CeKnJ5JIDOqO8E1iXQyyNB7VCJ4/ro7W0C3/Pnz7/1/1mn7FBMYRqdXTeojCHHbXUmg7IeXNvGiiGP/TnLPlt1LNQbg3JN6TOVX307puulyZwaS+dyr0kDelXO333v5yncA3dZhil8XoC5m3vskvgknc6r8Xj+LSPTd1U3Prb4aap1oSGI4ZiCQziXmEc8M4UywLf2XQCAY5cAqD61WwK+TJc2Rq/6bdaWrgdPhzylkKl2+qk3VkTbdZXKNFVN2zgmpbf19evXG/9ev15kZoU+6tuZ+4gJmIP6vb1rcmAfy2dMsQzb2uU6dABMW+7D1Xtx6uKJmXcV6x5b/LRtXWiqxHDAVGOnKZQBxmIENxulYv8rv/Ir+y4GM7NNEvUYZTR3gthqYJqpxtKDvE+v3nXrOW3Tw7f+2kNqID6kz7JPOUYSZFd7lpdZCTa5e/du4zp5xyaf//Xr1yv/Xl+7LdM79lFvtOu7nSEbhTJLxKtXr/ZaDtjVOpuH0qA7F/UpYKGLP/xv/+m9vO+3v/vdXq/7H//xf2Px49/8zcVc/P4/9EcW/9zVf2Uv733yF/+Jzq/5Z/+FPzBKWdif3JPL8mHVunGWtBg7Njmm+OmQ60JiODEcALsnwc1G3//+9xe/9/f+3n0XAw5ephVLQroasGSqsm3WJqsHUbFN8Fvv9XdIDcX1z6KHY39lDbuqNNJsmjovz9mmQ8cxyHFan5auz/Uh26mvy7XvNbCa1qWDQ5HrW3X60SEbdMc6b7rMZDKFMnThWkNXP/ztv2MxJ6d+2z+5mJPf+sOfX8zJT/+cmZ4O0Z07d95MVV5Pco/tGOKnMetCUyeGA6YWO02hDDAEU5QDTEjT1GL1ILuLpgpLRtefOHGi1+PUqVO9y8LxaGqI2TQCIR07crzOaf24fah3WkmHlT4BRL3nf7ax75Ef9cYaOBRp0Kze33M97NugO1aDQdMsJquuCVMoQx86rgGwTlMckvppNSm7y/c+pPhpyLrQHInh4HhNIXaaQhlgLEZwA0xIU+/bBIMJGvpUEpqCjfqaTds45IpLKmp6HvaXhpb00m97HKeRYw6NM/s21JprQ60BN6Rnz57tuwgwuFz3Ll269Ob/M1PLlStXZnHfPXPmzGTLsG0DjPs7AHW5NzQtZ5FpwHeRjD3U+GnoutAcieHgeE0hdppCGWAsEtwAE7KqwTXB7VAVkn1PYTVVGruHlR761Qaa0gjTNIVeGpGy5rzgeHdrrj169GiQ7QypXiaYu1zbsiZhaShPo+QQ9+B643tTz/khZnxZd1+cQhm2YTQ3AE0Sc9enks79KXXwsePoQ4yfxqoLzY0YDo7bFGKnKZQBxmCKcoCJaaoM9B113bQt6yMd3/ri+5Be6fVOGfUGm2pQnOf27cl+LIZauy3bqB/f+x5F0VQmmLNqg27uxWmAHqpBd4z71YsXL9753YULFyZdhq6qZdTwAkCTVZ3Kh5wF7VjipzHrQnMihgOmEDtNoQwwBglugIlpGlXUd12jpgB9iF560GdN+TLSoC6jEprWn2f92m1911x7+PDhW/8/hYamTP0IhyRTcebeXRp0h2yAHqMxu6mBY931ZQplAIDcOxJHnDp1avnIz9s02q+67+xqneFDip/GrAvNiRgOmELsNIUywBhMUQ4wA9skuJumWGOxsRKmI8D2sibc7du335lmr9rTvKwtN4f14/atPnKkb6NGvZFs341jKU9Twx3TmVIx5+iU7x1lBNNUgulMF1mWFkmD7tCjhS9evPjOOVNGR/VVv+el7Ou2N4UydFE/fq0NB3AYrl69+tb0zxnxnHpL3xHXq+4Pu6oHHUr8NHZdaE7EcOya+G16phA7TaEMMAYJboADTnAnsKxXYLKtY+09vU69Yr2rXvqHLBXbNMZUj8EEW9VKdGmwUQnezdptpUFsiEaWfI9pREyjTXVkQmahyDbTOJfzKuXM49atW+9s4/79++804g21rx4/fvwmuI+UJeVKQ+i6z5zjNZ8pwVo+Y/4tDQSvX79+87x89rxH/lZGp2Q6rmy/a4PjEPtyDNkX+TxzkP3z/PnzyTS0923QLfs8n2VVg0/T8bvtvb1+XdjU2DSFMmzb+ALAvJW1setK/a/Ptb5putXYVaxyCPHTLupCcyKGa08Mtz3x2zRNIXaaQhlgDKYoB5iJPgnXpgrMZ599NlCJDks98D6WivbYmnqWV9eSy8/77n0+F/XZGPqsbdQ0td2qRqcE5Fk3b1XgnGkgE8zneV999dXi1atXy0casvK6PM6dO7dsoKg2FqYhIAF+Xt/UMHLixInGR5tAPdfJvG+2n0aGTN+YMuV8zs8pS2lgWNWjPfsox2U+Y55fX1suv0vZs72UKY2M+cx37txZvmeZJrPtiIZt9uXY5tKrPsfwFKZpzHef7zP7re9opXKP7jq9XH36y23rGJvOtymUYZttz+G4BqB/fNx35OKq1+3yvjHn+GlXdaE5EcOJ4XYZw4nfpmkKsdMUygCjeA1ALydPnkw30Lcejx8/3nq7Z8+efWe7eTx58mSQ7b3//vuvh/D8+fPXH330Uavn5j2rZWj7ul2r7qubN2/u/Pi5d+/e66nKd9j32Kl/1uznyPmSv/Vx5cqVwc6ROXj27Nk7n3eI72LdNSvPbToPSllu3bq19r1evXr15v3qz82xXh75W/08aHps+n7z9zbnb7ke5ThMGdeVv36c5dq17hqW11y+fPnN8zftoyH2JdOQY7TcY9cdV5vk+CnXyHXqx+Y2x0XKW7++tPkMUyhDW7nWbXv9BDhmU4xdEo82xc3bXOer9bht44xji592XReaAzGcGE4MNy/lOjZGTDKF2GkKZYChie4BJpbgrieDt00K1xt1h2rYLRWjQ0pwV4Oa/HxsjURjNdDUg988EhRme30r1MeW4K4HWn2Ozy4NLOW5Tde00hGky/Vn3fdcb5zso/rZNu2baiC26blNDadtjrNqZ5l1n33ofcl+lEazITqQ5d6Q61vX83mb967XE9q8/1TK0OcaeiiN5gC7NNXYZci4edXn7JtQPqb4aR91oTkQw60nhuOYEtxTiJ2mUAYYminKASZm1XRCmeZok0zZlPWQqrI+V32b1SnO+shUT5mSKds+JNUpe7adqucQ9Z3qr2kKvRs3biynDZva9Hrl2G5az2+fMvXZtmu3ZRq2qnXnb6Z4K2sANq3/1nadpl1dIy5duvTm50w7t04+V1lfLd/zuu8666dVZdttplKr7utck5veY6r7km7y3eY6luOizX16nbJOYJtpBXPcVI+d+vSX21xf2l6Xp1CGtqrLs8xh2kYAFp3qR7kPp56WKY27rqNbvw/X9d3escRP+6oLVYnhfkIM9xNiOKZoCrHTFMoAQ5PgBpiYixcvNv6+TcI1FfCmtaPrQVHTmkld3L17d/lv1is6JNWAM0Fy3waJQ5Qg7uXLl71emwaKekCZivTU1ocq63Jl3aCyvti6tf12qR5c91mvqn4NuX79+srnphNMU2Ne2UaX/TL22lppfCjnaj1ga3Ou16+PQzRQ5DNXj+2mYG+K+5Juch3LsZTjoh7g91Ea9lbVA+rq9+C+ndeqr8v50+U4m0IZ2qg23rRtkARg+sp9KHHKrVu3tootmuqESaptSrwdc/y077pQiOG+IYZrJoZjG32v41ONnaZQBhiSBDdAT03JzyEqPqt6iG/qWVcq2OfPn3/nb6VHe7Xs9ZHebeV98toECX0biaeaOK5XyMYcxd20D168eLGYohx7JeHft4dnU3C4TQeJMY6hNIrU36PpfNq1pn3e59yr77NVAUgClTx33feTv7ftoZtGgjNnzizGUjrcRNugqvq8LiM96qMB1ql2JMp1M6NKpr4vaS/faRl1ku8wDW59HrnGnDt3bnHixIk3jQRtG67r9+E+DfD1usDjx487vX4KZWij2gjZZ/QUwLGbauySe1Di521HNq+Kjx88eNBre8cQP02hLhRiuJ8Qw60mhqOtse9rU4idplAGGNTgk54DHIGmdZCGXHPk5s2bjdtft25QWfdq3fow9XW3uq65lW1nvaGsi9VlHZr6Wmb5fFNVXS98rHXlqutHzWHNmuo+2WaNnrZrh7VRXR9riO+raZ2u8mhaw2yf60D1/Q6qa8yv2v85NnO+rlojrGnNpm33zzbrt9XL06Us1etS23O1y3Wv/tr6+T3GvmQ3ynmy6pqx7aPr+VMtS5frYP0Y7XsNnUIZ1qmfawAcXuxS4pWUqc96qfV68rb3pEOPn6ZSFxLD/YQY7m1iOPpquhcM/f1OIXaaQhlgKCJ8gA2SBC6PJJETNKwL5lIhyvNSCSqvS+Vhm6C4TSNCypT37po8b1tZy2coye1U6ttWfFYl67OP+jQ+jC3f75iNNtl3TZXmqe2XfN+pqDYd6/ld/tb1uK4eC307OeQ9q99RvVw5nvvsv1UNd1NovKt3TFnVcLFJdb/lXF71XtmPXcpTvfblPdpeH4ZoHKk3HHV572oj36pjeZvGkagfn2PvS8ZXOnq1baDt+lh1bg7dSJjPMWSHrimUoc11ok09CYD5xS5R7impc6VcbTXVx/rck44lfppSXUgM9817ieG+IYajq3xnq9ouyz2lT7vulGOnKZQBhiDBDdBjpHbXR5/gql5xWFfpKBXsthXpekCRity6ylp5fpvkdir1fXpz5zX7DkIjHRL6Bmp12Vf5XNv0bm/bcWEI6xoINj3aBI3V86ntsbrN/iuvbduYsKrxbptRF0Oof/6uMy+sGmmxqmGkTeDWplEr22uzrW0aR1YFoV0fq47HbRtH6vtp7H3J+FY1aA316Hu9zzFcPZbWNTZ0ee7cyrDp2t4l4QFwbOYWu2xKBqYsqSuuqjsnrq7Xw/KaLnXtY4yfplYXEsOJ4erEcKxSBiwNca8rj74dGqYQO02hDLCtE/nPsJOeAxyOrLmT9UhOnjz55ndt1s6pr9uSNaVWra3dZm2TrE9UXXsp28p6VSnfRx99tPw3a55kLZW2sr0bN268taZQ1mHJukb5jM+fP19ut6xtlPfMe22S9a6y3lR1n7UtT977yZMni307derUm/397Nmz3muNZz9kf3TdF1UpR94/5Rhb3iufvc939+rVq1avK2uktV2jp3wXffdhXtv22I2so/Xo0aPlz9euXVueu3ltzocpHI/ZD9nXfeV8L99BrhfXr19/cx15+fLl4unTp62O96brxyrZ9rrrX94/+7noUjXNZ6mWId9TlzX72p4TRdvjvMh1uro+XFP5htyXjK/+nQ7t1q1bvdZBq64bWNZgzLGa61hZhzLHX8pe1oTMNSDvNeQ5M5UyVGVNz7GuEQCHZG6xy6YYvqznXORzlbV485z637J2ce7DXRxj/DTFupAYTgxXJYZjXZySNtZt7nPFEG2GU4mdplAG6G3rFDkAO5Ee5unpmp7Ipadhes9t2ys0vVkzoik9n8sU5GXb+V165U1l2rl99PzvO5UYhyHnxqbp3nZVhpz7Q/QAzzZy3Si9b7Pdvsd5mYpx3dSVm6a7GrL3/9A95Lft/V/fL+vKN8S+hCLHSc7zap2hXEd2NXXiFMpQnZVl3yO5ANit1NuaYugS65b7Ud+RtUyXGG7ztsRwq4nh2IcpxE5TKAN0ZQQ3AKzpjZxeifvs+c1+pSdremU7Btopsz6kl3rp4VusqnJu0/u/9MAutu09PXTv/zKjRZ/P1mdfAu+O6Coj+LrOdAMAzJMYrhsx3NvEcADz8a19FwAApiZJ7RJgJUCpByYcj22m9ztEORfWTcOWcyfTr6WRor7cQH2ayK4yVVx9GxcvXnzr/+vTTe5btTz142if+xKORTlXcv5JbgPAcRDDvU0M140YDmA+JLgBoEHWYCvart/M4Ulwe+HChX0XYzLSGz1rjbVx+fLlt9ZfHGMtxrxH1WeffbaYUsNaWZcrso7VlPclHJpq42P1ng4AHDYx3GLScYcYDoChSHADQIOM9Cq9dfW0PV4JYDNFGd9IwN+2l31mQigNGC9fvtzqfZten3O02kDSZ7aFfL9jjBp49OjRW/9/9erVyexLOAZ3795983NG0gAAx0EM9y4xXDtiOIB5keAGgBUePHjw5mdJ7uMd/VfvYc7bIyM3KdP9Z7q2JqdPn261nTQkNG3j3r17bzVmdWnoyPPToLKqbHVdGiWqMz/kGFp1HA25L4GfyHldGkuT3DZNKQAcBzHcamK4zcRwAPMiwQ0Aa0ZxlyDk9u3b+y4OO/bw4cNlMCoQXT8ycpPSWFFfa23dumarttPUkJLvqDo6s9pYskme22VkZ9uGjDyv+jnWLXMw5L4EFm/ds3N96XJNAADmTQy3mhhu8/PEcADzIsENAGs8fvz4Tc/j+/fv77s47EiC0AS4H3744b6LMkk5H9p2+kgP+zQwpcPIKtW/ff75543bSCNK6f1el8aH8rfMtpDnb5LzOe/VpTElDRmbptDLvqmuy5ZryLoGtqH3JRy7nKPlGpCZWIzeBoDjIIZbTwy3mhgOYJ4kuAFgjWrP4i69dJm3BKsJQq3bur5xYdPU/VmzLMH/ut7vcefOnTc/NzUUtOml/+zZszdTyH3wwQdre+qn7Hmfp0+fdkp+pZyXLl1aOYVePmv+nn9Lw0ibhowh9yUcu9I4meuBhkQAOB5iuM3EcO8SwwHMlwQ3AGyQYCSBcgITvcEPX3pYJ7A2re1qCfifPHmybGBI0J79lQaDnCPpHZ9A/9y5c8vfp4Fg0xp46UhSgv5sI40b+R7yyPazblqb7yNlKs/L60ojSVmPN40QKVfeK40pq0YTrJIGmowIPX/+/PKzl0aS/Jttv/fee8v3yXaz/TYNI0PvSzhmOV/KCB0NiQBwPMRwm4nhxHAAh+bE69evX++7EAAwdQlSEhBFAhkBymFKUJrv+cKFC8vvmbclQE/DQtk3CeATvOd3paEgvenTIeT69evLxoQuveuzjWyrNBDktdeuXeucqEq5Hj16tGxMyBR2+f9sK99rOqm0HdWZ1506derN/7969Wq5nfw+Mzqk8SbXhvwua8vlupAGjjbXh7H3JRybnDdpSIycR0ZvAcBxEMOtJ4YTwwEcKgluAGgpgUsCqwQoX331lUDlAKVhJEFqem77flnVOAJM8/qdxso0JBq9DQDHQwxHlRgO4HiYohwAWkqj+a1bt96s0cRhSWIk3216YwuAAeYjnc9yDc/IG8ltADgeYjgAOF5GcANAj4b0jObOFFmZPgs4THr/w/Rl7cSsf1jWTQQA4HiJ4QCOhxHcANBRWdsz6y+lUR0A2L1yH5bcBgAAgOMiwQ0APZPc9+7dW44cy2hu4PC9fPly30UA/rEvv/xycfXq1eVsKpLbAAA0EcMBHK7v7LsAADBXWY87DevA4SbQ6tPdAdNw+vTp5XqbWXcbAABCDAdwPKzBDQAA/9inn366+OKLLxYvXrxYTn9cbSA5e/bsslPLmTNn3vwMAADA/ojhAI6TBDcAAPxjH3zwwbKBJE6ePPnO38sIgIwazehRAAAA9kcMB3CcJLgBAAAAAAAAmIVv7bsAAAAAAAAAANCGBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENsMYXX3yxOHHixGiPU6dOLc6fP7/44IMPFvfv31++3za+/vrrTu+f996HTz75pFM5P/zww72UEwAA4BjMLfadAvE3AMD+SHADbHDy5MmtXlt/1APiBPaffvrp4vbt28uAN4F/Av78bezy5r0T7O5aPuuuvoNV0rCSfQ0wF7u+buXedPXq1Tf3pjR4njt37k3DdN/71NzKAADHYm6x7yb196on25PI3TYeFn/vfp8DDCXXrFyXqtes/JuYM3Hoxx9/vPjyyy93Ug5xL3R34vXr1697vA7gaCUoTcCWykfd+++/v3j8+PHi7NmzG7eTykkqSXl89NFHjdu7d+/e4tatW1uVN9tPeRNEJlCtV4ouX768ePLkyWKX+y8Vtrxv/TOnfA8ePFj+bYykdnn/GzduvBkx8OrVq9HeC2CO160E0Lkv5f6R98k1+eLFi8ufnz9/vrx2l7Lkb3lum/ve3MoAAMdubrFvtR5x9+7dN7FvylgeL1++XH6uasIi9YubN28u7ty5s3Ud61jj733uc4Cuco1OjN02cZzrZK7t+XdI4l7YUhLcAHTz6tWrdA565/HRRx9ttd2bN2++s83333//9fPnz7cu88mTJ5fbunLlyjvvMcT2u3zGlKGpHPfu3RvtffMZm94z3yXAFO36upX3O3v27Jv3uXXr1sr3evLkyVvPHer6PYUyAADzjH2r9YhsK2VcVY/I7+tlSMz8+PHj10M4lvh7SvscoI3Lly+/uQblmvTs2bN3rmu5PlZjzfLItXSIeFzcC8OQ4AboqSnIHyIwS8Wlvt0EfdsGwakMJeBMxa2+/VSkdiXvl8/YFGDn90PJ/sr3kc+Wz930fUlwA1Oyz+tW7g2513S9n9UbB+ZeBgBgnrFvqUd0TZgmUTBG4vcY4u+p7XOAdRJHlzg7MWSbe02u1/XrVa7v27TRinthOBLcAD1VKyNDBvmR7TQF+tskNVKJyyPqvRCz7V1Ib+7yXmME2E3fSbWXpRHcwNRM4bqV7VXL0XVE1hC9yadQBgBgnrFvqUf0TTpUkwZDfb5Dj7+nuM8B1inJ7a7J4VxLh2qjFffCsL617RTnAAzvypUr76zrknVhrl69Osj2P/zww3e23bQO2tCyVkzW2RpLWTsna9VkTbi8V9aFy3q1+Tfr2ABMyRSuW7m3lHKUMnS9thdZl6y6vuKcygAAzDP2Leuotl0TvGn971XbHMIhxt9T3+cAVYkRs5Z1Wce6i1xHb9269dbvcq06f/5853KIe2FYEtwAE5WKSl2C4E8++WTrbTdVoLpW8LpKpSuVyXpwP6R/PDPJMjH07Nmz5WdKg0kSRwBTtO/rVu4r1QbWO3fudN5GGgkSnBddO2NNoQwAwDxj3yQKyvOSbDh37lzn5HHqEPW6V7b78ccfL4ZwaPH3HPY5QPV6eP/+/WVnnCdPnvTaRjrl1DvzlO22Je6F4UlwA0xUvRd7cffu3a23nUCyvv0EqGP2lk4An/fs07sbgPEblHNvSHK9j+vXr7/5OY2pecypDADAPGPfemI1CYcPPvig86i2pji1byLk0OPvOexzgPqMEU2dqbpoen3uU22v5eJeGJ4EN8CEVXvlFam4DDEFTVNP7jF7S2fbY47eBqCbejC8qnG5jXpw3nZU0hTKAADMN/Zd9feuM581JVs///zzxVAOKf6eyz4HqF5rt12yoen1SW4/evRo42vFvTAOCW6ACVvV23qI3nlNU+COVSkqgW7f3okADK9+zd9mve/6/aptg+0UygAAzDf2ncsMYYcUf89lnwOUGSeSUB6iLbWpM9bjx483vk7cC+OQ4AaYsNOnTzf+fogR3E29D8s6XUNLRe7atWuDbxeA/uo9zZuC9W0C7TajeKZQBgBgvrHvqlFwXZO7TVPMrirTscffc9rnwHEryx4k0X3+/PnFiRMntkoIN13/6ss2NBH3wjgkuAFm6MWLF4Nsp2nKsqF7kSdoTWXP9OQA05EG1Xqj4rajcepB+qY1FKdQBgBg3rFvRkU/e/bsTR0g/+b+37VO0ZRI3zYBcajx95z2OXDcmq4zuT72HTh07ty5XmUQ98I4JLgBJuzly5eDVaiapEJVrxQNPbVNtpf3EKgCTEdTL/Ntg+z6iJtNPdmnUAYAYP6xb2LNJFxfv369/LfP2qZNyY7r168vhnRI8fdc9jlw3JpmitgmTuwz24i4F8YjwQ0ww4rYhQsXBnuPpp7dQ05tkx7pRm8DTMsYPbzr60pu6hU/hTIAAMcT+67SlBhInWKMNazF37vf58DxqseH+1gOQdwL45HgBpiwzz//vFWv7yHXAYu7d+8OFrSmkmX97WlIb/6MgMiaQ/n36tWrrSrBec79+/eX6xWdOnVq+fr8m21sM7UTsD/183ZV4N/FmTNn3vndunUlp1AGAOB4Yt9VHj9+/M7v7ty5M8p7ib93v8/3RfwN+9fU4SdxZ59ZJ9bNNrIuYS7uhfFIcANMVNMaLTFGb+x6kJ1K0RBBU3qPpwf2EJU3tpNgOsdOvo98L2ksykiBBMmrpsXL8ZfX5DlpdMnoiXv37i0bI3LMpGJfgvYE4MB81K/xQ/Rgb7rWr7uXTKEMAMBxxb51ed96PJSk+q1bt0Z7z2OPv/exz3dN/A3TkER2zqEyJXj+/+nTp72vk8+fP2/8/brtiXthPN8ZcdscsP/kv/o7e3nf7337W4t/+oc/0/l1/9mv/d3Fj378jxb78Lt+8Wc7v+a//PrvLX7jH/zDxT780umfXnz/u9/u9Jpf+41/sPjhD37LaGU6Vglk6lIhGyPoSxBVD7IShDWVoa0EZwngxpiKh27y3ZbvovRSTYCcwDgV4Hz/CZ6royPy/ATlOeaqrysSqKeHfXqVZxu3b99evHjxYqtjBtj/NKBDWxdkT6EMAG385n/1d/fyvie+/a3Fd374U51f9w9/7e8tXu8p/v3uL3aP1//h1/9g8XpP8e93Tv/U4sR3u439+PFv/Gjx7R98b7QyHaNdxr51iWPqSYOm0cVDOvb4ex/7fJfE3zAtOX+GWv6gaZT0ptHg4l4YjwQ3vfwL/87/fS/v+9/6hR8snvxrv7/z6278+58v/j+/+huLffjP/uQf6Pyaf+sv/PXF/+Wv/q3FPvzFP/bPd07K/+//w7+5+GMf/K7RynSMUilp6tU7VrCawCqBVLUylPffJlh69OjRcpt9p/1hGKUXeALq+neR/y/HWYLp0hM1vyuvSUPLKmmISGBdRlakF3l+Lj1jgWlqCrCHGOnT1BM9DW9TLQNAW//Vv7OfKR+/8ws/vfht/9r5zq/7tX//ry/+4a/+N4t9+Kf+5O/r/Jpf/wtfLv7eX/21xT784h97v3NS/jf+w//f4uc++B2jlenY7Dr2rUpSsfreqYs8e/Zs9HjmmOPvfe3zXRF/w2HLUhB1H3zwwcrni3thXKYoB5iYVH6aKkdjB3316d9SjqaKW1sJzHYxpRzrlQC6qbGkWqku0wKmwSHfW0ZLrAuui/r6bnqQw/StWjdsl73Ip1AGAOA4Y9/qiNlq0vmrr77aWbLwGOPvfe/zXRB/w+FatbzAutlGxL0wLglugAlJQPvee++9VSkpPZqr01ftYh2waBNgNUn5M21P0zbZrXyH6Sne1EO03pM063ylwSHfW9tAub7dzz//fMsSA2Pb1RRpUy8DAHBcsW9JKCapXhKtZXrsvO8u164+lvh7Svt8F8TfcLiaztNNS2mIe2FcEtwAE1ACvjyqlZ8EOq9evRo9uV0CpfoUWilXn8pYKn2rgjp2Jw0dZY2vVX+vyhRnOdb6NqysWo+I45bjLOvNnThxYtKPU6dOTX7Uy1B22Yt81T1kCmUAAA479s17pB6ael6p7yWhmOR6SbLmPYdam7WLQ42/p7zPxyb+Zt/E3uPJuVY/hzP7xKbOKeJeGJc1uAEGlMCkzVphqeCUKamappBJcJ+1lXY9VVfesz4tWqbg2dQjsWn9rwcPHgxcOrpKA0msWoetqbd3Ghxg7EBwiradFpJh1hI7hDIAwDGYQ+xb1rpuSkLmkcRrnlPWP961Q4y/p77PxyT+Zt/E3uO5cePGpM5fcS/8hAQ3wIC6VtBSIUnwV3pvp7fzqmBoF0qv72qvvzRcdAmwS1B3iD2y5+bhw4fLxoOmim9pZKrK99y1YWkOwRP7lWtBAr+pHytNo2gAAJhv7LtuZF0SQSXBnGRrHnl+1+TyNg4x/p76Ph+T+Jt9E3uPIx2P6rMlZD/vYrZNYD0JboABHUJwll7UmSqrvp5X24pbAvJD64k9V/neVh2P9cp5Aoy2636t286uZx1gHqbS4MbhT4k2hTIAwDGYe+yb+DYj0BP7Juka+beMTN9VXHNM8fdU9vlYxN9Mgdh7+PiyPp16zt1972dxL/yENbgBeEvTOjht14Qq0wzNbS2dQ1R67F6/fr3x7/XpBK9du9brferb0YMVpu/06dP7LsIkygAAkIRkNSlZ1rDd1fS5xxh/73ufj0H8DYcpyyps07lL3AvjMoKbXv7iH/vn9/K+3/t2vz4ZD/7QhcWPfvyPFnPxb/yB37P4X1z+XXt57186/dOdX/M/++d+xyhlYT/SAzhBUrVncKbjaRNk3717t3HNLXYv38Hr169X/r2+/lemCOyj3gjRdztDNiycP39+8erVq72WAwA4HL/4x/aTQDjRM/794R/6PYvXM4p/f+4PnF381su/tJf3/s7pn+r8mh/8c//EKGVhf5KwSMxbHRGXuOb58+ejx7bHGn/vc5+PQfwt/ubwlCUVDmXmEjhEEtz08rt+8WcXc/JP//BnFnPyT57sHmTv0w9/8Fv2XQQGVtbDqkrwuWnqszynzzRb7FYaEepTm/VZ/yjbqa/ttO91lJrWNgM2G+u8aVqDcMplAGjy3V+cVzz5nR/OK578zsnEk/OJKb/9g+/tuwiM4M6dO2+mza4nXMd2rPH3Pvf5Lom/YX5yfa0uHzFkclvcC8MxRTkA72gKpDf1IE+vxlTS5rL+1zGr9x5Pb/M+FeF67/FsY9+97esBP7C7wPfly5fv/G7VNWEKZQAAKJri2MQW1QTHLt/7GOLvfe7zXRJ/w7ykQ0q101Gux32T2+JeGJcENwCtgs1U8NYFL6nwzTm4PiZDrds11DpiQ3r27Nm+iwCTt8vA98yZM5MtAwBANQnRlIjINOC7cIzx9773+a6Iv2E+ct29dOnSm/9//PjxVtdacS+MS4IbgEb1KdLW9SJPz/FPPvmk8TVMz1Drdj169GiQ7QypXiagWb0xsakH+BBTra3rsT6FMgAArEtEpG5Rj5/GcKzx9z73+a6Iv2Eecu3JmvIlpkynkitXrmy9XXEvjEeCG4BG6VVcDzazBs2qoCbP7dsTmfmt/5Vt1CvUQ1T8t9FUJqDZ6dOn3/r/Ic6dFy9evPO7CxcuTLoMAACbRtrVR86O4Vjj733u810Qf8P8kttJFGd2gqHWuBf3wngkuAFYqd4jvPQUr7t3795B9B4/BvX1v/qu2/Xw4cO3/n+oiv82Dm0qOxjTGA2iTYH6uuvLFMoAAMxX7vuJQ0+dOrV85OdtEger6gy7Wmd4DvH3oe3zsYm/YR4yLXmuOyW5PWSsKu6F8XxnxG0DMHNZZ+b27dvvTJNW7Slc1gab+/pfx6LeE75vYFxvaNl3B4eUp6nxh+lMy5frxJR7+JdRMMcSFF68ePGdc6b0Vu+rPtVa9uW67U2hDADAfF29evWt6Z8z4jl1zr6jf1etX7qrOuwc4u9D2+djE3+za2Lv7jLdf66tKU+S20PHj+JeGI8ENwArpXKUYLpaEUtluVoRKwG3itTxrP9VGlWGCNRzLKVRJIF/tXd7pnDKNtPAk4p6ypnHrVu33tnG/fv332kIGmpfPX78+E2AGClLypWGnXWfOedMPlOCjnzG/FuCzNevX795Xj573iN/K72FM61Utt+10WqIfTmG7It8njnI/nn+/PniGDQdvzkGt+ldXr8ubGqwmEIZAIB5WrVOc6m796kDNE35GruKdacefx/iPh+b+Ls98ff2xN79O+30TW6XfZ7PsuoaKO6F8ZiiHIC1mnoGV9cCy8/77j1Me/X1v/qs0dM0PdqqICBBXdYxWhUIZFq7BIR53ldffbV49erV8pHAIq/L49y5c8uAo9r4kWAyQWJe3xRcnzhxovHRJthLoJD3zfYTqGYKwJQpAUt+TllKkLqqV3T2Uc6NfMY8v74+WX6Xsmd7KVMaqvKZ79y5s3zPMu1f217x2+zLsU2pZ/Y6OYanMNXfrjQF0/UpFLcNsjedb1MoAwAwT+umsO47cnHV63ZZl51y/H2o+3xM4m/x9y7jb7F3N/ne811mv/Uduf3ZZ5/1WppL3AsDeQ1ALydPnkw30Lce9+7dez1V77///vIxxGc9e/bs8vePHz9e/q2PK1euvLP/njx58npM+X7q7/nq1avXx+LZs2fvfP4hjoccB+uee/PmzZVluXXr1tr3yvdT3q/+3Hyf5ZG/1c/FpsemYyx/L9toKneRc6mcC+uOofytfqx/9NFHb/5d9ZrLly+/ef6mfTTEvmS6xrxu1Y/NbY6LlKlPOadQBgBgfrHv8+fP3ynTNjFOVOvg28aphxh/T32fT434W/wt/p5+nJ1ja5uYMcdOuUavI+6FcUhwAxxQkD9WgF0PXvJIpT7b61spk+DevfrnT0V8zCC9PLcpAE8A0DbAz+s3BQD1xpY+qp9t076pBhSbntvUENTmWC/7aNNnH3pfMi1jXrfq53Pfe0T12CqPXOPnUgYAYJ6xb1NidFUSq+/n7JtQPtT4e8r7fGrE3+uJv9mX0ulhm9izyPWqTdwp7oVxmKIc4Ij0nTasaQq0GzduLKd9Mj15834uU2NNSabP2nb9r0zlVZX131bJNGFlHbmmNcTarje07j2GdOnSpTc/Z+qydfK5yhpd+Z7XfddZg6sq224zHVd1X2eds6b3mOq+ZB5y3FSPnfoUittcX9reG6ZQBgBgnkrdNnXr1LEzpXHXdXSLsl5vXd/tHWr8PcV9Lv7+CfH3T4i/WSffa66jOSYyLfk2yjWszbTw4l4YhwQ3wJFIxevly5e9XpvKWj0gSGVsLuv7rNN3n6xS1nbK+jdljap1a5XtUj1A67PmUX2doOvXr698btbAamqcKNvosl/GXp8pAWxpXKkHHqtUGyjqDQ9DBLn5zNXzqylomeK+ZF7Xraw7t2qNxy6qr8v50+U4m0IZAID5KXWI1I1u3bq1VWzaVJ9PUm1T4u3Y4u+p7XPx9zfE383E31SvozmOckzUk8R9lGvVxYsXWz1f3AvDk+AG6Kmpp/GLFy8WU63Epbx59O0l2FS5r1fOdtGbfRu7+H4SWNc/5/nz5xf71vS9t+11vO57W1WRToU7z113jOTvbXuaJtA8c+bMYix3795983Pb4KD6vC6jBeo9yte5ffv2m58TRGdkwtT3JfO6biW4r14L+jTipoGq6vHjx7MrAwAwv9g39Yck9LYd2ZzPV69LxIMHD3pt75Dj76ntc/H3T4i/VxN/U77PMmtAvr8kuvs8cn05d+7c4sSJE28SzW07+oh7YQQjTX0OcNCq6//MYd2TrO0yxDovbdd+aqO6vtGu1nHLWk3192xan6qvprWexnifIdb/6nsc1PfhqvMj6xCtWmeqae2hbffPNmuA1cvTpSzVNePaXi+6rJ9cf239GjPGvmRaxr5ulfOneix3uRbXj9G+1/EplAEAmGfsW+LdlKlLXXtdfWub+sQxxN9T2Ofi758Qf79N/M2qc2TV9WLbRxfiXhiWBDdAR6nQNgVj5fHRRx/1CvCGlkpTKjtNlbj8Ln/Lc7q4efPmm23k577lSuDVtO9SrgQHQ++/fGfVstffM99Z133RpfFnCg1Aef9qeVYFv5tUv7s0kqx6r+zXLuUpj5xbeY98Z7sKsOuND13eu9pQtOoY2ibAjvrxOva+ZBp2dd3apqEpx3K1AXfbAHsKZQAA5hf7RqkPlHpSW0116T71iWOMv/e9z8Xf37yX+Psb4m+q8v03dfAZ6rHqvFxH3AvDkeAG2FDpSIV2m55+eW0quruwLsDb9GhT6a9WwtpW2rfZf+W1bYPBPK+8ZtvvrDy6BierGoC26bk/hPr+ePLkySA9X1cF120ab9oEGdlem21tE2CvSiJ2faw6VrYNsOv7aex9yW5N4bpV5HXVY2ld0NzluXMrAwAco7nFvpuSgSlL6vmr4p4kFOp16LymS5x07PH3PvZ5nfhb/F0n/qZNh4ShHn3veeJeGMaJ/GeMqc8BDkHWTcr6KidPnuy9jaztkjVWnj17NmjZVr3XqVOnOpc3r3v16lWr15U1rtqu85LyZPt992FemzW+Pvroo1brJWU9mm2+r+r7Rr63rmtlZS2mR48eLX++du3acn2elP/58+eLfSnfQ2T/5PvuK+tQleMgawhdv359uZ5RPuPLly8XT58+bbXPUp4bN26sXNeqKtvOcbBK3j/7uehSvclnqZYh31PbNZS6nJdF23OtyDpP1TXGmso35L5kt6Zy3aqXqazjl3LlOlbWMszxl+OxrCuYa0DWDhvynJlKGQDgmMwt9l0XF6ReUNZGLfK5ylq8eU79b1m7+NatW53e69jj733s8ybib/F3lfibdd/n0HIN67OWdiHuhe1IcAPAyFJZTaV1m6B2qDKkIpzGkW0rxAlos71UtPNzAurLly/3qtjn9QkMnzx5sjbwSLlToR86wE6DSLUxZo4B9pD7EoocSw8fPlweV3mUoDvHX873NK5tk0ifSxkAgPlJnSH14dSLP//88zf1iEg9IvWJ1CVS186/HM4+F39v3pb4ezXxN/sg7oV+JLgBYGQJRFNZ3WcP8jlJZT7BYXo6l56qxapqyzYBdhlBW2w7+nXoADu9d6v7octn67MvAQAA5kr83Y34+23ib4D5+Na+CwAAh26bKeIOUQK9dVN5pYdqpvBKoJue0FX1ae+6Sm/s+jYuXrz41v/Xp8/bt2p56sfRPvclAADA1Ii/3yb+7kb8DTAfEtwAsIMA6cKFC/suxmSkR3PWq2ojUzFV1/AbYz2/+vR4n3322WJKjTNlWr/IekxT3pcAAAD7JP5eTDpmFH8DMBQJbgAYWYKgTHPFNxI0tu2pXdYXi5cvX271vk2vL2vBFfWpxNrI9ztGz/NHjx699f9Xr16dzL4EAACYGvH3u8Tf7Yi/AeZFghsARlSmr6r3UuabfdNGWZMrU341OX36dKvtJBht2sa9e/feahDpEizn+QnKV5Wtrktgm7W7ihxDq46jIfclAADAHIm/VxN/byb+BpgXCW4AGNHDhw+XAY1g5l13795t/dwS8NbX61q3Ntaq7TQF4/mOslZWU8C9SZ5bfe0mbYPhPK/6OarB9pj7EgAAYI7E36uJvzc/T/wNMC8S3AAwkgQyCZI+/PDDfRdlktKb+/bt2617aaeR4sqVKyufU/3b559/3riNBOKlB3VdAtjyt48//nj5/E3u37+/fK8uAXmC4U3TsGXfVNf2evz48dpGmqH3JQAAwJyIv9cTf68m/gaYJwluABhJAp4EMl16Fx+bBKgJZtfJulcJINf1oI47d+68+bkp2GzT0/vZs2dvpiH74IMP1vb2TtnzPk+fPn2nB/umcl66dGnlNGz5rPl7/i3BdZtgeMh9CQAAMCfi783E3+8SfwPMlwQ3AIwgvXQTnHXpWXxsEjQ+efJkGaQm8Mv+StCZADA9rBMsnjt3bvn7BJmb1lFL7+8SOGYbCZDzPeSR7WftrTbfR8pUnpfXlUA7ZcojgWzKlfdKQL6qR/oqCfIfPHiwOH/+/PKzl0A7/2bb77333vJ9st1sv01wPfS+BAAAmAvx92bib/E3wKE58fr169f7LgQAHJIENgmeLly4sAx6eFuCvASnZd8kCEwAmN+VYDM9stP7/vr168uAtEsP7Wwj2ypBZl577dq1zr2mU65Hjx4tA9JMg5b/z7byvWbau7ZTjOV1p06devP/r169Wm4nv890aWkASBCc32V9sgS/CZLbBMFj70sAAIApE3+vJ/4WfwMcKgluABhYgusEOun9K5hhVYANAADAdsTfVIm/AY6HKcoBYEDpCZyAKj16BVEAAAAwDvE3ABwvI7gBAEakBzkAAACMT/wNcDyM4AYAAAAAAABgFiS4AQB26OXLl/suAgAAABw88TfA4ZLgBgAY0ZdffvnOlGkAAADAsMTfAMfDGtwAAAP79NNPF1988cXixYsXi08++eStIPvs2bOLK1euLM6cOfPmZwAAAKA78TfAcZLgBgAY2AcffLAMsuPkyZPv/L30Ir98+fLiyZMnOy8fAAAAHALxN8BxkuAGAAAAAAAAYBaswQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAALH355ZeL8+fPL+7fv7/vogAcpC+++GJx7ty5xaeffrrvosyWBDcAAAAAALBMuiS5/fXXXy9u3ry57+IAHKT3339/cfbs2cUHH3yw+Pjjj/ddnFmS4AbYUKk/ceLEaI9Tp04tg4bcyNIrNu+3jQQfXd4/770Pn3zySadyfvjhh3spJwAAAMCxJbfj2bNni5MnT+67SAAH68mTJ8tEd9q+zZjRnQQ3wAbbVObz2vqjnpBO8JCpSG7fvr0MIpL0zg0tfxu7vHnvJJt3LZ91V99B9m0qCWXflo4FmQLm6tWryx5ymXoLYCqmct1KOfJ+1XKkDKVTVt/7FAAAMD3V5PbTp08ltwF2INfbjOROe7mR3N2ceP369euOrwFYHHuFPzecpvUx0uPq8ePHy5vSJkkMJEGRx0cffdS4vXv37i1u3bq1VXmz/ZQ3iewEJ/WExOXLl5e9xXYdMOV965855Xvw4MHyb9sGUvm8N27caJ2AyXtmP+VfgH2YynUryevcl3L/yLU427948eLy5+fPny+v3WXGkfwtz21z3wMAAKa95nZikbQR7aptJLFF3jvv++LFizc/v3z58k27WWIQ8QYwBWNds/Z1DZ47CW6AHnKzyWi2ujTyb7M+UUbs1XtqdUmar5PyZht51Edt7zJYyGfMTT/q5RgioR8ZXViS5/k+8p7Zj9VKQ967JHCqrly5skyy66kM7NIUrlvZbspRtp/r8Z07dxq3W0aZl+cOdf0GAPYj9/bUA9pKfSX1kiHes9Q1Tp8+vfK5JYYsXr16tdV7A2/LTE2p2w9xbm/btlYnwQ1MwdjXrLT5ZBa91IuyRITr3mamKAfoYVUSYV1A3kaCiPpo6jLiedvpaEvZkqxoet9dSQJ/1Zra1WRO34pG9lUaStLTLRWKfLb6dlNBSCImf68nZFKZGGJ/A8zpulW/16RjVZLWq+53paylV3FGkq+6tgMAhydx3VDLXaU+VJ3hrOlRnmOJlMOR4ydJ1SyDU+1kye6VjquJOXbZPpRYI511E1Ns2x7E/jiXOZbjbexrVradR+o6SXSzmRHcAD2lx1Y9uE5CIDeibZUeW/Wb6FdffdV7hF5ZRyk9wErP3Oq2d9EDPo0gSYLkvfL56g0i207Bks+YJE3XHsdNSfdt9zfAXK5buZe99957b+5pXWcjqd5TjOQGgMOR+3vqKasaWYeMmfI+Dx8+XC6VUlfWpUysaDTTYVjV5mFk/n5nb5jCtLjVma0KI7iny7nMLk3xeBv6mlVtn0nbStpYWM0IboAJKr3BqobsvVVPimTbTWuAD23bKdzXSYNHGkXKerBdpEz1hEwZVQkwlqlct3JvKcnt9ELuep2ulj2fSY99ADgMaZwtHbibkthDxqipg6QRN43C1ffK++d3qZ9IcB2Ou3fvNh5P9SXbpiplHWoGg30r7UNN7VD7IJkzL2Ody4d0jnHY946hr1mpA5VtptNf2oxYTYIbYKKSJKhLEnqICl5T8mLsaahK7/8xprDNtnPTT4NHfYr3tlJ5qDeYlO0CHOp1K/eVagenpmUsNqlPz2UqLQA4PNeuXWucpWWoGLVI3abaWPzgwYPBts10rJpqfi5T0D969GhZ5517x87EDdWZmKZAR5Z5GetcPpRzjMO/d4xxzUq7fensd+PGjcG3f0gkuAEmalXP2abeal3lJlnffholxqwQJIE+1pRyJRBr6hTQRdPrs7/nEmQD8zGV61b19WU9qT6uX7/+5ud0ZtLLGAAOT1PnutL4OmTMlGR6pAOdJaOOq71jCiOI28isAnOXxGGJBRIDTCWx7Jyfl7HO5UM4xziOe8dY16zSZpS2FbMZrCbBDTBh1RFxRW5sQ/RgbBpJPeaULk3rxQ657dh2+vOm16ehJj1HAQ7tulVPRG8TFNYT42PPCgIA7Mfjx48b6x5DjjAqjcVTSbgxTsN9vb0jMwQ0tYFM0SF0gq92dJ3K6G3mZ6xz+RDOMYY393tHF0ZxtyPBDTBhqwL6IUbGJRlR72U2VkKi9DTrOzJwnTK1bhIzQ+yXpkpRUyMOwNyvW/Vr/sWLFwe7X81l/UQAoHu9o2mq8sR8RhjRVtoinj17tlyqJ3XSjNacU5J17tMmV9c3HmumPY7DWOfy3M8xxjH3e0ffAQ37Xmd8yiS4ASbs9OnTo1b06iP/yjrZQ0ulo0wzN7Sydm0SRufPn1+cOHFiq5t+0wjG6vq0AIdy3aqP8t6213O9YUwjNwAcpl1NVc7hSz027RJzS7B+/vnnizmrLn031kx7HJehz+W5n2OMa673jq6q1+dDTuRvQ4IbYIZevHgxyHaaApmhR3GngSOJlrGCpqZkf96rbyeAc+fODVAqgGlft/Je9QbobYPDeoK8JPIBgMOzi6nKYYqa6tFzU+1cO8ZMe3Ds5xgMIW00pZ0l54UBWO+S4AaYsJcvX46ahK3eKIuhpzzJ9vIeY62HsqrS2/emP/aoeYApXLea3mvbBHe9HIIvADhcpirnWM39+E4bTYlH6rP6wRTM/RyDIRnFvZ4EN8AMkyAXLlwY7D2aRlYPWZnMiPAxp7yqryO+KeEDsG9TuG6NMbq6/rl0DAKAw2aqco5RdXrvOarO2vfBBx/stSxwiOcYDKm6JF0GEahfvU2CG2DCmtacaRp1vY2mHrtDVSZz402CY6z1t6MpeZ4kS9OatNuMmj+EhHl6amf0f9b7zb9Xr15tlYDKc+7fv79cK/jUqVPL1+ffbGObaZXhWE3hulU/b1cl3bs4c+bMO7/74osvtt4uADBdpirnmFRHP89Ryl6tn/eNP2Ascz/HYGjJA1Q7Ez569Giv5ZkaCW6Ama05M8Zo6HqSOwHPEEnL9AzOek5DJE5WSUCWRpVys8//P336tPd7Pn/+vPH3Y36GXUgyO8dOvo98L9lfGamfJPWqaelz/OU1eU46PWTmgIzSyP7OMZOkWkmaJwEOzOe6Vb/GD9GJp+n9dIABgMNmqnKOReq1Y85OtwvVxEjO3bm3c3BYDuEcgzFUOyM1dSw8Zt/ZdwGYqV/9G/t5329/b7E402Pt4RfPF4sf/2ixF7/wu7u/5tf/i8XiH/ydxV6cem+x+O73u73mN/72YvGDnx+rREeraV2NJEOaGg+2lQpkPcmZJOg2a3skOZoGjTGmwa1L0jaPITSNNpx7r+Z8t+W7KJ8lCeokpksAkeR1dWaAPD9J8Rxz1dcV2d937txZjurONm7fvr148eKF9WBgJtetXfWKl+AGgMOXGCDxQ/2+n1HcqZNIojF3qTsfwnTe1faZubdzcFgO5Rw7FGljyKyc6UyfwS0XL14cpT2adnJulHb7ptlej5kEN/38mf/eft735/87i8Uf/Y+7v+7/+K8sFn/7/7XYiz/x691f83/9Xy8Wf/0/WOzFL/9H3ZPyn/3ZxeJ/eGesEh2lNAw0jaodK1mcxGYSmdUGibz/NsnK9AzONucWNKUCVzfnSnYZhZ2Edv27yP+X4yzJ7DIKNL8rr6muz1WXhqoktksP24zizs9N6/AB07luNSW3h2h4bhoFno4vAMDhy4iidH5tmqrcaKPVdbjsmzRWlxncUidLPHX9+vVlPLaqjlZitsRwq+KvslZntp06WX5OoqK8V35Op+VNSYsyw9u67aSsm9oP8vxsK89PuZu2k200LaO2SbZROnXn52yr1HnLMm/ZX9WYODFwbDo+s91DWVe+OqtCEla7kO887Qo5zsvxmOO6dLLfZRvCunMu5ckx0aUNqyzLl+2Uc6N6/OXnpnM0f0ubWcpSzq3qslWJ5fqcB7s6N4Y+lw/pHJuSfEcPHz586zgtx3u+76ZzL89NO19eW10iM7/Ltp49e/bOd1eOqZIMrx4POa/qbdn5fY6PUq5yPcjvmpbkHPPeMfVrVlHdL6VM2l5/QoIbYCa9FlOJGPPmlRt0KizVcqSy0TdBncrA3KYWWjVV95x7KZbP1NTYUG0sKRXDfOf53vKZ23RwyPrq1e85r1mXFAf2f91atWb3GIzgBoDjkMbXNC7X6yZlqvKhZq5ZJcn1NEqXGGfV8iulHpTYJ7HLujpTYqPE5uu2WRrzX79+3bqs2UeJvavJnOyfEu/nc+TvWSbqwYMHjfuuTcyVOG2IulgST00zBnWV/b2q7tpX2Vf5rvI9lfg0P+f7Kgm9JOryXeY4zc95TY7LpmRKlIRgScCsklnRNmkbW4+t/h2u+uxDqR/neb8cy2WfJVGV/ZuO8mUJp7Fme6iXJeXIcZJj5LPPPlvumzwnj5Rh1Xk3xDmWz5uylOM1yeRSjnK9zCPP2SZpN9a5MdS5PPY5Nqd7wtCq333k3pLj6MyZM2+dd+XcK8sYltk9c+znHCjHQGnzy3ar9/N8b6UzRFulc1ber1wP8v4pU76z/Fw/5se4d0z9mlWX/ZX3KmVLOYZK6M+dBDfAhOQGlcpBNdDNDSxrs44dfOTGWE1wRyoWfRLcpXddyj0nTUHnnJPb1e+wqdJV7x2bBpRU1Nr0vi/q2zVVDkz/uqVnPAAwhtJIvc+pyks9Z8j6zlDbTIyceL+6f1YlVPJeic/z/DSwV0dSlnh7k+zzkmwpI9H6yHaSyKmOmOsjyYt8ltKxeltlWa1oSopEaUfJ30oypk3CLLFxdVRtrPrcm47rJJWmoL7PxxpAUT/Oc/ysGplZypWE13vvvbc8zoecBbB85+V8KYm76ndWknXVcpeR3JtmUcxzSqK4zTmZ7ebzNh2vKUf2UxKoZfaF7Jf827VdasxzY6hzeVfn2JTvCWMoCeQi51RTZ43yvHx/+d5zPOQYblqisPodV+9fuS9U7zObOnuUzh3V+15+Vz13UqZ0xqh+50PfO6Z8zVonI8jL58/3JMH9E9/6x/8CsEepfKYSm0e1gpSb1atXr0ZPblenQqqXq0+FLRWBua21VqZdqwd8U+hp3VeZ6mrVSPr6503FMsfaNiOwh+jZz2HJcZaA6cSJE5N+nDp1anazTvS9bu1yBPcUg34AYDxNsUSZqnxMmfEsI+bySMPvqhg6jeoZhZXnbUoaJaZNPL5qNqx81vy9zUi9xNZppK8mdFLmVWUo20/jeRnNWbSN18rrsz9Szr6N4fn82UbKm+307QSe9y/labP/2wwOiJSrzWdLPTnPbZOMKJ+1+ihLelXld/Xn1R9T6TRfLf9YbUz14zyffd35GPk+UrYkb0pyd6hYqYziLcfxuhGXKWN15sQyWnfTOVbOjRzT60Z9l0T7puM126t2PqiOxJ3CuTHUuTz2OTb1e8Iuktv53KuOyfqShGVa7qZjoLrN6vbymcvxX76ndUtm5FjOcVPdz02dSOrH+5D3jilfszap7lttr98wghtgQKVyu0m153NTD7cymnrX62k0VZxTQepaechaQukVOydNDS5zXyuurK+1KkhpGm0998/MPJKwUzRWb+Bjum7NqVMTQBd/+2//7d6v/cEPfrD4qZ/6qca//dqv/VrvRtCf/umfXvzMz/zMyljjxz/+ca/tfv/731/87M/+7Mp75W/+5m/22u73vve9xc/93M81/u3Xf/3XFz/60Y96bfe73/3uyvvP3/k7f2fx9//+3++13W9/+9srpzP9u3/3767c9/wk9lg1Vfk2S2B1LUNmE8voqvrsaF07MOc1JQFSPlMavrP9tnWfetKhJLfbxPtJJpTlv9KQns/Wd6rWoaZ5zXbSOXqI7aQ8fTpElgRejrWuydrUl+vHxjGoxv9jtDXVj/NN0z3XpS2tDPzYVuLPJK2q51GbspSEXRnJXJJyba8baQerrnNe5HzJtr766qtW1436EoL5ub728ZTOjW3O5V2Y2j1hrHaX6vmX73/T/bYkuUuyNMdZffR05PNWl9FYpST5m87hlC3vN8RyJUMdb1O6ZrVRnWFhDm1suyLBDTCgrsmR3PzLOhqpeJSAdV/KqOtqJSGVky43+FKZH3uNtSGlUlPv/ZaK/S5Gzo/p4cOHy8/QVMlumlou33PXQFelik3KlIpTP1aaZrGYskO9bgFM0S/8wi/0fu2/9+/9e4s/+kf/aOPffvfv/t3LJHcf/+a/+W8u/sSf+BONf/t9v+/3Lf76X//rvbb7y7/8y4s//af/dOPf/uAf/IOLv/yX/3Kv7danWK76I3/kjzQmBNr4/b//9y/+0l/6S41/+9f/9X998Wf+zJ/ptd3f83t+z+Kv/bW/1vi3P/Wn/tTKfc/6qcqTeGmb4NlW3iON6dVE7DaN4Sl7WZ+3SyKjnnSInAtd4q4yei3bSQN838+RMtfj/b7KdLbbyn7oup3qTHN9EgtNx8YxqJ6PQye468d54qo+oyyH6nxQPy66DMAoawOX+1KOk+vXr7eKs0obX3Vf5+ckDpMMa3vdyPtXE9zZv9knm16/z3Ojz7m8S1O5J+yq83t9CcpVct6Wc7fMttJUX2t7zWh6XvZTOl82zT5Spkkvsh/btCdve7xN7ZrVZ9/m2nJ2xwPjpkiCG2BAXXt7TVG9wlfW92qbNFm1vs9UlXWN6t/jnBL0q+R7W3U81iuCfXquNm1H5Yomh3A+TclUr1tT7bEPAOxe0yiudY3nY7hz5847iZo0tPeJV0vCKnWutomMfN5Lly699bvU1/p0qsz+zOitbad6z8wEc6+zVWfN6xt/pi59TAnufOfV773tWst9j/O+y56Vdoltlo7Ka+vr3HdNPubaUe14lfWi+163ylq+Xc77puM6I/A3bcO5Me17wliSIK62zZWOFm00LVW5TeK0PvtNEtvZR9n3TXJPzHFblg9Y9bwhTe2a1ZYEdzNrcAPwlqabctsbfZnid07r2Jbpmw6pk0K1sp2exk3qU+lnGqI+6tsxehSmf91aNeUqAMDQU5XXlanK9zVDT99G7DL6sksiJCPo6snkvkt5pRE7n2Xuyemhp9ruO0tUmUnvWNT305DxQP04bzOV8TpZ13abz1mfhr9P8rI+E151ZHRXud71Sdo1JbM2cW5M+54wlnrniy7nX9Nz+86q0yTHYR7r9lO+k3wPu+osMKVr1tjXhGNgBDf9/PJ/tJ/3/fb3+r3uf/J/WCx+3G9Nr734F/83i8X/YPweS41Ovdf9NRf/yBglYU9yw6xPN5YAoU2lL71a89q59CCrrzl+KMntyHewbk3H+vrbfdeMqTdO7WrtmU1rbb169Wqv5YCxHPJ1CwA4LIkhHz169E5iKJ31dlVfr9edEud2maEsUv40+HeZ8SqvqSfa0oi+TeN99tuuOgfM6RjrO4vRXNothpBRlGN89qbjfNsBD9ucI/VzdJtkbQYBVD9brmV9k5l9jtF6ubsm2J0b07onjKnevtf1+6u3AX/22WeDlS37akqdJqZ2zdrmfbIOPBLc9PULv3sxK2eGm3pnJ37un1rMyg9+ft8lYGDVNVi6TNuT50ylgrdJylqdmuiYkkSp0NWnFu8zTV62U+8xuO81jJvWFodDMeZ1a6zzZiqBLMA2fvVXf7X3a3/wgx+s/Nvf+Bt/Y22HxHV++qd/euXf/spf+SuLH//4x722+/3vf3/l3/78n//zi9/8zd/std3vfW91Z/U/+2f/bO+1sr/73e+u/Nuf/JN/svda2d/+9rdX/u2P//E/3mubxyojy5qmKk+82XfkXBeJT+rrTud9u7x3aQzvktxK5++6bRvRdzVKbOqqa6+WGeT6HEvZzrHEjmN9zqbjfJ9tAk2dSvpKx/mqZ8+e9drOULPcvXjxYuNznBvTvSeMaeiRvENvb9/thFO+Zm3jUM/RriS4AXhHKmn14HvT2tqpPOfmOpUK3jqp8Fc/39zWDR+jd2efJFR99ECXdX7GYooeDtWQ162xks71kSGx72sCwBB+/ufH6dD7wx/+cJTtjrUUxVj3j5/7uZ8bZbs/+7M/u3wM7Wd+5mcG3+YxTFVeTzzl/zMieRcNy5keOKP2qu/dJZlRRkJ2OQeapnjd9rOqV/1EOkxU92++z8SBZa3jtna1FvwUDXU9rx/n+1yyrGl2g23WGq+fb31nT9jleevcmO494Zhtcx4ObUrXrDHaX46RNbgBaFRPnCS5si55OJckcT7DpUuX3qq4z6HcQxpq3eyh1vEeUt9e1XBM161dNrKcOXNmZ+8FAExTYsWmREAS3LvQVG+qJ9xXSVIrdbEuo6/LmqNDN6JLpnzzfdb3Rb6njLjNIzMe1WcsO3ZjJEKajvN9dsJoSspuU576a/vuw13uE+fGNO8JYxt6do+hj9mpdM6a2jWrD/WAd0lwA9CoqbK2qkdjWX9mShW8VeVMpb5M45IE7TZTVs3VUOtmZw2qIbYzpHqZYO7Gum7VA6MhGr2apsgSgAEAq5JPZarysaU+Uh893Xa0XknOdxl93TTS0/Tiw3rw4EHj75O8y8jM1J9PnDix/DfHWNorjnk61/pnH2Kmj6bj/OLFi1tvd6iZ6rZNXtX3Ud/jZ9cdfp0b07snjK1+nHftxFBP+g59Hk8liTy1a9a2ju28XUWCG4BG6WFer4Ss6tGYpGKeO+WpXapJolRGM9J3ShXSua2/nW3UK1P77izQVCaYszGvW0M12GxaF05jLgAQqcM0xQuJMftO/dtFdTraEjtsSgKUjtyZzraLpnrVlKZoPQQ5ljLt8ib5jst0+KdOnVp2yjaCdRhTi71XnXdJ5vZ55HiZI+fG9O4JY6t3FOu6dN/YbXtT6fQ+tWvWlJYhmjNrcAOwtpJUrfSVyly9spPK89RHb2d631TySpJoKj0I992rue+62Q8fPnzr/6fQWeDu3bv7LgLM5rqVDklDr1nfFDAe67UWAGgeWZhkdr3OkATLq1evRn3vxCupU1XfOyPx1o3aKx28uy4N8/z588k28B+SW7duLeuaN27caJ24KNM15zvtsubuocnsTdsek1M7zptim/qyatuYU1zj3JjWPWFXA5Sq50C+zzbtdPUOZmnvHfpYn0pSdmrXrD6qM+/NrexjkeAGYKVU2uq9GlPZqya4y9rcU6vgVZWeqKmkJUl0zJWAeoDXNzGdjg5V++7gkPLUy8R0lHWqptxjtsxCMZWGi7GvW5mKq37OlJHifdWnOU/Zj/l6CwC8LfWCTFVeX9qoTFU+dlIlo+6q8W2SFeves8S+XeszY6x3TLN8P3lkbeF8X207cOa7T+fv1LOPwRh18qbjfCqJrCl1xN8X58Z07gm7kHtrOihUy9rm+K+P9m8z+n+u5nDN6mLOZR+SBDcAK6XSlspbNQlSetyXCt2UK3hlNEDK3DdJlM+ebaSn31QSX/tef7t0ahgicMyxlCAiiffq6PJU1LLNBBvZ7ylnHumJXJeArd4RY6h9lSChJGcjZUm5ckys+8w5bvKZUoHOZ8y/JcH7+vXrN8/LZ8975G9lpG6mdM72u3YaGWJfjqGcQ3OQ/dPUq/cQr1tNx2+OwW2WmqhfFw7hmgkAjDNVeb2jXZkqd8yEVFMH7rxvU727xAB9ku4anXcvsU0e+c7y3aUOXY3jVsW1u+hYMQVjLE/UdJzvs3NHfTTuEB14D4FzY//3hF1IHJ/vOe1jkXtsvsd18X2eU20jTFvSIcfwU7tm9VG9xh37ta2wBjcAazWNzK2uxZ2f9z16d5WUKxW2VOj6joD87LPPlv8eSiWvvqZQn/Vxm6YnX7VvEyxUe5FW5bvJWk+pROd5X3311XJqwjzyfeV1eWTdrFS6q+v7plKXJG1e35TcXrWOVptEa4KWvG+2n0RxerCmTEkW5ueUpSSJVzUMZB/l3CgBQ3198PwuZc/2UqYESfnM6UGc98yxm7+3HZW+zb4c25RGRa+TY3gKPfx3dd1qCnTrSxh0VW8kmUvHBgBg91OVN9Vxxo4rSwfuNqPVUj8vnVv7vE/dlGcyOiT5zsoUy4nf0rk4MVISP03fy67WgD9EU0uuNMU+c0tejcm5sb97wq7UB7BkybNV32HpVFbkWJjyZzvEaxbDkOAGYK2m5GXpsZgkzFSSQnXptZgKW5I4T58+7V2RKVMEH2JyO/qM1qx2cNjUEJXnNiXRU5ZUphNMlYp09TvKzwm+kqhtCkrz91TekxBOAFIfjZzfNT02NZql8p8kcMqX90+CscxQkOMgPycYzH4ra1Q1NVZlVHYCxiSY6wFT9knKnvJkW3mffP7S4zafOf+f7WYfbRqdvu2+3NWo6OyPKT/yXe27N/aur1v1Y3Ob0es5XuvnwrVr13pvDwA4XKnjJMnd1Flu7CR3fft5z3qclDpNYt2+ZUk8UTeFWYIORZn9qq3ER6XTclPyauwpeRMz7rvjZz02GCIubDrO99mRoyn+ObaOJXM7N6Zwju3inrArKV/aftIulDaFMjAk+yftSmlryL85d8tnyTGQ+9MU23WHNrVrVlf1sp45c2ZvZZkSCW4ANqpPz1MqfHfv3p3k2tul0rbNCMjqiMZtpuydknrPzT4V2PpI5KYkWf25TdOgl+BjU8C0qvGrOtVWHvVAo/q36mPdZ055S1nzvHXJziQfy7mwLpBK+eufMWVNwLHq3MlrqlNDbZqCfYh9yXFet9JBpGqbHvr110556QoAYDrrw+561GDq+fVEWL3eXzr09o11m2KObWfK4RttOgGvkpgwnZGrDn2UatSP+S5J0FWaOrLvsyNHU7vDEJ9zTpwb07wn7EKZQj3ffz5T2hTySJnTLpd2pbRF5bMkTs/3nb8f+rTkU75mdVXvmHQs39smEtwAR6Rvz7SmXoo3btx4sy7P1Cp1KVOp0G2jrJnctdJQendOLRhIxXXb9bfrFf1Vye0yTXfTlE9lDe+2HQfWvceQMn1T0SZZXIKbfM/rvuv6Oj/ZdpvOBdV9nWCk6T2mui+Zx3Urx0312Gma5aHv9WVq9wYAYHr2NVV5fftp8K/GyqmHb9NZL/Ww+mu3qWdN0b5HvW0Ta+e7rc8AdmjfT139eBwiqZM4or7dfXbkaIqxy9JNx8S5Mb17wi6U9qNqO0DO0eqU9GXmurQ5pF3qUAbzzPWa1VW9w44E909IcAMcidwI+05D1bTOTCq5U1tbt4zATcWznmzpoyQ5L1682Po1ZW3l9Jwta0RPpdfwECO465W/69evr3xugoKmHq5lG12nzhpTEsglgKkn/VapdhDoMrV12yRzvSdxU0PfFPcl87pu1Udx15cgaKv6upw/jjMAYJupysfUFKM8evTorVFw2ybZm5Zq2TZRNERSeagEzb5j3OyLbcpQ79A85ufZd2eAohpbDlWm+nG+z2RoPl+9fWqoQQc5PvrGSbs2p3NjKNsez7u4J4wt596UE/BTMaVr1rbH+bF1UFhFghtgwArUixcvFlNUporOo+/Nu6kyV0+M7DPIS4WzjMAt02L3eWRtmqzLcuLEiTcBTJckfn266pQl2zyU9bfr39uqJFbp8bruGMnf2wYJ+Q7GXF8m0+0XbRNz1ed1CZzrI7rXqU4vlmM8MwNMfV8yr+tWEuvVa0GfddbSQaSqPrUdAEDXqcrH1DTLVKkDpeNqUwfvrpqmCc4MV9uYSqJpKgmBVbFRW9XvuE1iqEscV5WBBn1fO6RqfDDUsdR0nO+zI0c9lhnqWM3nnHqCc5/nxlD2dY7t4p4wtuyD0u7LfK5ZXVSv21MabLZv39l3AQDmaNXNayoBZ9N04tWf+0yB29TosE1DRNO+SqWiT6WxJJHL9zL01OBtE8FlauCm8iXA2Of00PV90renXypR1e+uKdjJ502lMVNbNf29uu5NknEZhZxE+Lr902WE9Lbrircd+ZrPlseYQUR6l1YD6TSKVffT1PYl87tulYR0KUvO7ySs61PTrVLO92pDgGALAA5P39nA2sgo7tSFdtkwnzp2NQlUOpPm0afDX13qQ6mTV98j9fVttr1tgjzqSaA+nfSHKMcQUo62ddYm1Vi1TXJsVey7SZ6Tzqj7lvigxBxDTctbEn/VWCbfyzYjC7e51uScq7dZrJpZrq0ptOdM/dwYyj7PsbHvCWPL95T9kJHnU14rfN+mds3qorrkgjaXbxjBDdAjGVYfpVuk4lNfq2VfSpIiU2RXe6Pl5/wuf+uakK9WkvpWmPKeSYY0vXdG0WYfdtl/9STR0LpUGtZV/PfdCFBfe6pv79NqpW/VvikdKlYFAdlGNTgs51RGn2Y0ao6PXY4KqCcW+37nY3RwqQd4TR0VprQvmd91qzz/6dOnb/4/x02bXv8pf33t+m0aUgCA6Sn1lTFj3FVTlY+pvhxQlDh/qORAPR7KPqzPfNNWXjvEFMn1z9zne53KVM2Jc7aJdarxW9vkRtf1W8v+nUIyorrE1pCdtOsdqKvLfw2xvW1f3zRis89sb9vMYHgM58ZQ9nWO7eKeMKZS9hzvU2iTnrKpXbPaqp7Tpif/hgQ3wBolGZxHEkZ5JCmxbqRdev1Vn5+fq4HEmHJDLu+b3ourKjZlxF2Z0jaPNjfz6kjSttMz1fdf3nNVUJ8ypAJZnl9euy4gSTJ1zJHzXSrJqYivShzve3R//Zjte0wmqCsBR9NnyveX99o0S0BGjDbt27w2x0fOsxwD2d7Y++758+dv/X957zaPatl2kaxseo8p7UvamdJ1qxog5bwtr83xsq4BNvfHHFslyJLcBoDDVF2HdMxG831MVd4U06YMQ03Jm3pVveE7ybI++zF1syH2fz0O7DryrHTor8e9Qx0bXbdTna2uq1KP7XLc1T/3pri3xOFTSEbUyz7kKO6m47yP7K8hpteudi7ZpmNJGThSX9api30tZbjrc6Ou7zVhn+fY2PeEMZXPXzrTdx08NHddPuvUrlltVduQdpVnmIXXAKz07Nmz17lUnjx5svcjr3///fd3Ut5Xr171Km9ek9e2ceXKleWjrbL9bfbfzZs3V27/8uXLy+eM9bh169brrlLeUv78fO/evddnz559vU9lX5bvYhuPHz9+s60cC/n/8hmz7Zw3beSYy+vbfA8fffTR2m09f/78red3US9DtjXGeVkebc+1Vcd4U/mG3JeMb4rXraq8vnrtznUsx00e+VvuadVrwNDnDAAwDaljVuOILnHgXN6vXo968uTJ4O+TulT1PVIX7CKxVl5X/t02dqlvo4t8PylHPfbo+pmq2+taj63WRfvGN9WYtss+rL4uj01xfvbLrtqD2qjuu3yPYx7nbdsF6jF9/fvNI/u9q/ox2vXczvWhtHF0ieHrZe97HaufG222s89zo8+5PLVzbFf3hDE0lX3TI99Z9m/2X46vXBO2/bylHX3sfTjE8Ta1a1aX/co37A0AGFmCim2TykOVIRWvIZJR2UYqwKkMlwpd3wAm20pFelPSb10FcZsEd71SO8cE95D7EoocJznPc35XE97lfO8aAAIA85B7fO71TfXI1P8TW4zVwa3emXZs1STYmJ2S6/tzXSfuVcnteszTN3apJ8rbxgbVRFJT59ouMUZionoc1jYZ0pRM6JJAyT4rdds+MWz9/Ve9d/m+phR7VY/DMc6v6neafdz2+Mw+LHFGU4Is52bXOLpeni7fRcrdtQN/XrPqmM77ti3/unMj195129nHubHNuTzFc2xX94QxNHWC6vPIMZDvv+s5l3Ol6RjMfhwqyT308Ta1a1ab77Zvh7JDJcENACNLxXBuFeN9SoUygVtTxXjda9o8r01j09BJu20T3PX9MPa+BADg+KSxtm9D+NBKZ81dJLirn3voEa11qZdX910+56rG9NKhuFquoRLcUe0Qm+9wXWIg75F4otpgv2r2qDwn287f66NH8/v6qLs+x1c1tknsVsrSJiGXRFibmeLaJgFLGesxZHnO1NoB6uf5LpJs60YR53gq8Xg535uO8/IoI03zaBtX18uT733deVOe3ya5Xe0I3OWYrl9r+p4b9WN+V+fGUOfyFM+xXd4TxrCqc1rfx7rzt3wHfY6FPLp0rhrzeJvaNWvVPmhTvmN0Iv/Z9zTpAHDIso5P1rfatHbQsch6Tlk7ps16TlnPprq2TNbJuXnz5jvPy/ayvnuxqnqTbWX9uuo2sl5Ofldd03rI9f+yFlDWki9evXrVaQ2nvLasJ5TX5fVj7ksAAI5PqSt2qaemjlqvnw6hrCGaOm51Ld2xJI5InbprPb3vZ8vauNU1O/M5L168uFwXNOV48uTJ8vvI/yc2KWur1mOeeP78+fJ5fdy+ffuttYnzPtevX1/ug9OnT79VlpTxwYMHb/ZP4qdN644m1qiuc5rvNPFL231cYqB6bFe2U41n8jnyeer7M/I5PvvsszfryOf3Oa62ifmyzeyDslZxed9sO++Rtcrzc/Zf3+9nLNX4Mm0UY6wPXj/O851fu3Zt+d3l2Mr3kX2Yv9e/j6bjvEmXY7/pvMvnznrPZ86cWW4r71vWc64fu5uuHV2vm7du3Xrr2tb13CjbWXWOjX1uDHUuT/Uc2+U9YSgpb7677JfIPsmjqfzV9arzuurazk2y3RyzTe+ZfdVnH6UMbdukdnG8Te2aVXfixIlBtnOIJLgBYGRpKErlo02AdAwSYN29e7d1Q1gqsqlUrgs0t0lw1xPQ9WBznwnu+mvrn3+MfQkAAMck9e0kupJM3pXU8x89erR8z5JgSIxQkhLpJJ0yVQ2d4C6SEEmSKLHCy5cv3yQHst0kAZvKkpgqSbE0/JeEePm3JDwuXLgwSvI0710SDHWJj/JZ0sG82kk4z89nSDxY/yzbyD5ITFW+w5IkzD5rSghNQbVjw9Cxb5vjvHpspUNFPZlaTZrleCpJunKMJSFdkk9dE2v18pTjvZx3OT4SJ88lqTnlc2PO59g+7gnbXsOzPyLnVcrd9b6QfZt7QI6RkiSvOpak6tSuWfXBKimDwVNvk+AGgJGlp53Rst8oPYi7VJBTmSsjB5qCjLYJ7iR3U/Gvfxdl+5FAJpX6LrLdVUHENgnuaqASKVc16BxjXwIAwLEoDcf1evYUjZXg5rhUj6McOzmGgPndE+odVvq0Za1Sn6VDYnV/0iZYOh0MPePkIfjWvgsAAIesVAjnUDHetU1T2lWVnv+rGm/SM7KN0tu3rtrDOQHNpimaqvL89HRt27CUXuJtVUdY5xhadRwNuS8BAOBYJA4oIxjhGJSRiNVRm8D87gk5d0tyO4Mohkpul0RqdWBIWR6P3SvJ7XzHktvvkuAGgBE9fPhwGTxKJr4rU2u3VSrSWS+qSX1E9KogPdtpSobnO6pW3rtM05bndhmd3zYZnedVP8e66cSH3JcAAHAMypq71RmT4BjcuXPnzc+WrYJ59kGZ1wAAoBFJREFU3hOyZnTTOT2U+rWhy8AKhlHd52N8x4dAghsARqwcpzIyl8rxrmU0daZTaiNBRjoJrOutWP1b1pVq2kYS4avWgUvlvfwtPSTLlOXrpLds3qtLQjzJ6E295LNvqsHKpjWUht6XAABw6ErjvaWkODaJBUsn8ab1duEYzemekDagarvSWO071fYzyxnsXnUwyxyOy32Q4AaAkSThmESiSsj6BPGmgDpr/6TyvqlnebU3Y1Oyt81I66wpVKaiyrpL63qolvWvnz592npN7VLOS5curZzeKZ81f8+/XdbYGXJfAgDAoUvduZrog2Py4MGDNz9LcsO87gn1pe/aLtvX1YULF1a+J+NKB4bSiSFtmXM4LvdBghsARpBRskmOdhnZe2wSOGSNoCSJk3jN/krSt/RETXBx7ty55e+T5N20BlJ6lpbEbbaRBHW+hzyy/VTG23wfKVN5Xl5XEt2lcplEcsqV90pCfNWI8FVSMU1jwvnz55efvSS682+2/d577y3fJ9vN9tskt4felwAAMDepB584cWJZ7900G1Pqxakrm/KTY5UYsswS1nY2MJiTQ74n1BPaY62PXd2uZe52q1yXk9jWtrzaidevX79e83cAoEcFMMnL9HRM0pF3A4ckh8u+SRCRBGx+VyrPqcAl2L5+/XrnnorZRrZVkrx57bVr1zqPWk65Hj16tEwIZxry/H+2le810863nQIqrzt16tSb/3/16tVyO/l9phtKoJUkdH6XICXJ5wRibZLQY+9LAACYgzK7UtW6Js/Ea6l7zyleS/0+iZqqTBm7bikjWCdxaM6FSALl1q1b+y4SDOIY7gkpcxnhm3N36CRovS2rzwAPtr82t53V8VhJcAPAwFIJSUUwlT/JRFYluAEAgGGU2ZvaJH/TSTQdSufWWF9t8C4kuNlWOm+nk3Ri1MSqcAiO4Z6Qz5fPOdb9oMwOGBmAMafk/9yVzgv2+2amKAeAAaUCkoRmKiCSmAAAAOOrJyXKLEZ1idVu3LixHA01p0TGqilox5qWluOR2b9yruTcSLIbDsEx3BOS/KzOupCk6FD3hIx+L8nt7LeMImY30uGojMzvOhPlMZLgBoABpUKsFz0AAMDuVEexJRZ7+vTpyhFpmYZ2bo31aexuWic5CcnSEA59lfMhiZVNaxXDHBz6PaHItORlavIk67OMRc7jvpIgz77LFO+ljdMAnt3J/i8djUrnI9aT4AYAAAAAZisj2W7evLn8OYng+ki8NPyXKWvnkMhI0jrLHOVx4sSJlSPz8rv8Lc8pzzeqm65yvpSRgkn45XyBOTu0e8I6GcVdnV49CdKS6G57Lmc/5NzP60onl7JdSdbdyXcQOXbL8ct61uAGANjhGtxG+AMAwDjKmqFp6L9+/fpy1FlGn6XBPqP08vMc6uJlve2uo+YSe4g36CuJwIzczPmTxBbM3aHcE9rK58qI7upMDPl8SfgneV3uKblXvHjxYnmv+fzzz98kwvPcJMiTXDVqe7ey39Mpwbrb3UhwAwDsoHGqqPasBQAAhpWG/YxGTT08o5lLg311rVJgfZIlaxLPfWQrHPM9IYn9zz777M3nfvny5ZtEdpLXSfDn3wsXLizbrJJYPaRk/5ykY1GZaUDnom4kuAEARgigEkSkR2yCiuo0gQkY0lhw5syZNz8DAADAlJLcSQCW9X0BGF7aDDPTgOR2PxLcAAADK2s5RdO0TqXXrKmHAAAAmOqIwox8tRYswPAyGCZTx5sxoz8JbgAAAAAA4I0yE5lpiwGGl8EvWQM9g1/oR4IbAAAAAAAAgFn41r4LAAAAAAAAAABtSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAAAAAAAAAzIIENwAAAAAAAACzIMENAAAAAAAAwCxIcAMAAAAAAAAwCxLcAAAAAAAAAMyCBDcAAAAAAAAAsyDBDQAAAAAAAMAsSHADAAAAAAAAMAsS3AAAAAAAAADMggQ3AAAAAAAAALMgwQ0AAAAAAADALEhwAwAAAAAAADALEtwAMEFff/314osvvth3MQAAAAAAYFJOvH79+vW+CwFw6InKR48eLZ49e7b48ssvFy9fvlz+m9+fPXv2zePq1auLy5cvt97m+fPnF48fP168//77o5X9k08+WTx58uRNmevlPnny5OLixYvLco9ZjmN07ty55f6+devW4t69e/suDgAAAAAATIIEN8AIkgT++OOPFw8fPuw0CjcJ42vXri0Tmvl5lSTDS/K5bVK8rWw35c6/RZLZSWDn3/L5knz99NNP33rOlStXFh9++OGb59FPjpl0YIgcB69evdp3kQAAAIAjkTaftD1dv3592fEeOJw2x5zbH3300eBtyrBrEtwAA0ri9+7du4v79++/87ckfz/44IPFhQsX3hrtXJLFJamcnyMVjZs3b76znSSVs50YMsGd7SY5Xd4/idU7d+4sy70uYZ3XpazVhHjKvSlJ36Vc+bzVbZ0+fbrVazPyvCr7eoxOAUPL95AOEsUcygwAAAAcRgLs0qVLy7aXzEY4RNsOMB1pZy3tuU1tzzAXEtwAA0lC8vbt28skapHEcH6XUdltA4JqojmJ8KdPn7712jJ19VCJz2wrZawmqPtMi50A6MaNG29GrKfM2ca2FaXsj/QsrO7XvlKmTOs+9WTxqVOn3vq82YepdAIcSjD9+eef72x2ihK4Ny21kbLkGqvRDgAAvplRLvXjr776Sj0ZDlTO85zvabs1SwNzJcENsKU0lKdna30q8m3XTk7SOSPB0wBfesyW3xXbJriro8Ej75GE+jbradfLmPKlnEOqJ9Prsu8zjdYc1wWvfydhmnLgENSv3bmujdlglntRSWznfXI/unjx4vLn58+fL6+3pSz5W55riQ0AAI5Vdbm0tEPNsU0FaN+enfM98bKR3MyVBDfAFlIJSDKyjKiONI5nlPAQgUBGhZc1rVPZqCc+t0lwZ8R2RkZXy53tDdG4n6RCEt1F00j0bWWfZzR7XaZUz/6fq/r05IVpyoG5apopZMwEd/3enE5PWXKj6b3qy3PovQ4AwDFKfTjJrrks7QbHJHFrmY3sxYsXb37O0oxl6ct04u7apuu8Z+4kuAG2XJOoPiX50OsT1RPRVX0rH/UE9BhTT5Xk/Jj75sSJE+/8bu7JiabPdAiJe+B4JEjOPfKzzz57a5R03RgJ7vq9OdfNXD/brkEWloUA4Bg1zSS1zhD3y/KepT6Q9X5XSSN+lRmuYFhlOby253Z1tPcYcl1IO1KuC7lOpO1rm4EkiQ+yHFxbea+0Ye3aujbAJmKXw9f22O2T4K4ecznncsyb1Yw5+da+CwAwR9UebmMmcCMN80NOE1PWCq8aenR1pMzV5HvZZ2Ob8/pQ9dGNbf8GsG8JuNNBJ480jiVATmeqNHzlPtYmyTzUkiHl3pyGnrbvW53BJPfJ6lIbAMC7cr8cKkbJvbuMQFv1KM+pxuDMW46f1BtTf6zPjMdulRmNyuyBu2h/yWvrj6qc64kl0hEmbVhpT0rMkXp63+tAl/LmvffRDlNvrzvkNrA52ef1Kt9x4tptO3msUuL1nFddOlfAFEhwA/TQtEZyGsfHqlgmwBiiEpMKWHVUdWS081jrKmXkXHWfNL0/33j48OHy31UBpSQ3MFWlkSnX/NxT0skp94CMrsq/Wft6bAnGSzlKGbqoXnvTsKSRFYBjkobzTPJYfWQ02LpZpG7cuLFVwrn6nuksvmomrpJ0S3nyXKO356+MGCz1rSQxd9Ehnndl35dl0rokt1PfzrlYvWbkPF41y2CeX87hch7XH9W/ZVu5/lS3l+tN6ukl0d1F4pR6eVOe0iG2qT1v1yOjk1TPOdG0D1O+El9VP0NmMeTwr1f57tPunPMi3/vQU4k/ePBgeYzlGOzayQL2SYIboKOmnnqpCIw9hcsQldZ6Yj5lHrMynMpR9s1YPf0PTfZLvpMkZZqOJ9NOAVNVb4wqo6d3NaIgjQxlivHImttd1XvE670OwLFLTLIu+TPkaK/cgxObJuFUfa+8f363KkZinu7evdt4PJVE69SlrIfSrlEGIZQRotuex6s6xeR92p7DpdNsypSkXuKMeufVMqp7m06pKU8ZmFG93tXXPd6VdTFU4ptdxldM+3o1dFtujquyzTITG8yBBDdAB7nJVxvQIwHALqZezftsE2yUKaeqdtErL/umHsRUez7yEyU4LsdS0zGVY8+UfADvqt7PyhRufVy/fv3NzwnqBfYA8BPXrl1rHGGdGGXIRF+9E3a9wzSHYVVcO5d499GjRwfRrpE2rvIZhkqYrUrAZi3tbZO/SXY3rQO+7fdQytbUSXaXAw2SMF016+FYMy8yz+vVGB2+0omknL+ZoQXmQIIboKUyFVLdLqcD6puQTmW/3rMwlZYh1/buWm5T3jQHTSWYWRXUJJAGYLEyEb1NZ7B6YtzMGQDwduzb1Ki+7VTlTcn0ktAxWvEwraqvDT3t7lgyq8DcpZ2otMs0DUzYxljnbY6P+gjxXHuS5N7mGlTKm2tOfT/sapRu3iflmMs5cEymeL0a6xwrbdz7WoMeupLgBthiSppUfnfZizKVpz6VmKYkfJ/pW4foBVikojT33s5DSSCWkQ8JpEowVf25at0aeADHqJ6E3ma97301aAHAXDTFI4lnhhztVWJHU5IfrrRR1NtSMkPAXEapzmWk+TrVQQdzWse5aSr1IZdLqA82KO01u4hpdjUIheO6XnVhFDdzI8EN0EIqtJm6qW7VKNsxda3wNo3ejl1Mq76pZ+OcgqgxlVHZ9eOp6fgyTTnA+pkttm1oqDem67kOAG/fZ5umKs/90j2TtpJAefbs2XLK6ST2MiJ6Tu0Dc++sX11DPG01c+tM0jQj4FDLJTS1uY09q1OOp4yY3UcbI4d/vep7Dux7nXFoQ4IboOfo7erUabtUXR+0jaZKVypnuw5gPvjgg3d+l4qSZO03wVK908GqTgimKQf4pjGofh/Z9v5WT5DX1/oDgGO3q6nKOXxJriaZMrcE6+eff744lDauOSZVV00NvartroumacKTOB/z2pY2oTl2NDg2c71edVW9JhxyIp/DIMEN0EJTj7V9rQfWdWRaUzJ0H+vErHrPY0/WJkhKT92mtZ7y/03ftzVhAX6iabrAbRscTp8+vfE9AODY7WKqcphLB8s5t3Htena/oTS1laRtZYjR9U1J/zFHsmbbc+xowGGqtkXmfBIPM2US3AA9g5d9JIm7Nt6nct9U9qbR1Lsoc1OHgGNfU7oESatG5jf9fqigDWDuxhhdXb9Xud4CwLtMVc6xmvvxXZ1Jb85rPq9qF0t7ybaS9K/HBGMNNCjH01w7GnCYjOJmLiS4AXoGL/tIEndNrq/qZXfhwoXFVMp97D0BHz58uDawXPX7uQfV2wbk586dW5w4cWL579WrV1sloPKc+/fvL86fP784derU8vX5N9tI5V0SC+anft4OMbPKmTNnRmkoA4BDY6pyjtEQ02DvUzVRu892rW3VZ10qhorr620xZZ3sMb6PfSx/CG3bb9Nu657OVElwA7RMQNbtc82VJPTarM8ztbKvCkCONcldAqR1093n96Ypf/vYTzI6vZuzD3IsJ9mfJPWqKcNSEc9r8pw0RqSDRxrjMntAgtaXL1++SZonAQ7MR70Ba9V9poum67EOMADQzFTlHJPq6Oc5L5E2hZkJx/LixYtBttM0ZfjQ7TD5PtIeZnpypiZtbdW242NfXpLp+s6+C8A8/aev/tO9vO/3vv29xS/91l/q/Lr//L/+zxc/+vGPFvvwO0/9zs6v+Vt/928tfuNHv7HYh9/+W3/74rd8+7d0es2Lv/dicean3h3tdChW9dDcZ4I7QUibQGRV2fexdvi6980Us4cYWG1SgqNNwUz+Xn9Oki157PM43EdjQpLZ1eMlCeokprMvso+SvK52CMjzkxTPfmo6zpIov3PnznJUd7Zx+/btZUBsCiaYh101MEpwA8D6qcrrHUXLVOWm3eVQlJhzzqpJqnUd7ecgHdWbpH1gyHWIq+1qaZMYMsmd7eU9mgY1wL6l/awMJCkDRGBqJLjp5V/+P/3Le3nfcz93bvHn/+Cf7/y6f/X/9q8unv/688U+/NU//Fc7v+b+Z/cXT/7m8GtKtvHn/qU/1zkp//D//XDxy//sLy+OqeF8DkHAFHsVrwo0pljWXSjTjG+ajip/X9V7+FgSsWUUdirU9SR1tdKdZPbz5z+53ud35TXrgtCcz0lsl32cxrn8fEydB2COmu4dQ9yfm0aBDzUSBAAOUWKSxDb1DmEZxZ26+hziZ9hU75zzdN5FOn0Xcx9ksKodacgl+ZoGGwzZcSftFGmL4CfSmSAj2tOmkw4MFy9eXHagYj9yzSttbZ9//vm+iwONJLgBevQIHWIK1H2VfZ9Ju7HXSJpbxT2fu02DT/6e59Wnck9gdSwJ7lKpbvq81f2XfVqd5ivBUJt9VO9EkNcc6zTwMBer7nNjOMb7FAB0kdFdmRWpaarypmnM+clSXdk3SRyUOCaxTWL269evLzvqrooVS2feJIJWxfhl3dRsO5318nPqT+W98nNms9qUQCqx67rtpKyb4q6yRFeen3I3bSfb6DNKMNsos33l52yrJEDLSNzsr2pSN52jY9Pxme0eyrrypZN9JHk4Z00Jt/JdDyXHYj3BnWXPhkhw5/zMsXpo62/nHM9yieXzVa9rOf+aBhPkuUn057XV7zC/y7aePXv2znFczvGSDK9eT9LJodqZI/L7XF9KuVKmsnxd0zEz5vVq1X5LG1SO63LdLmUs169dt+dW90spk4EgTI0EN0CPBu059ECfYtlXvfcukxRTUdZHL0H1JnlePcFdXcP70KWiv6ozQL2hIQFnRmG3aWQp6tvVOxWm7xAaGQHgUCQmSf27dEzd9VTlSa4nNir1+lWdq0vsmXpEYoV1yd3EXxnBtm6bJbHy+vXr1mXNPkriplqXyf4piYN8jvw9cc2DBw8a912bzrhJiAzRSS/J3VXLn3WR/V0/PrZV9lW+q3xPpeNyfs73VZLdSWLnu8xxmp/zmhyXq2LpkiwvybBV2kyH3bbT9djq3+Gc2xFKkrFujCnk69e10uFj20RfzuGc23NoX+x6Lkb2T/bdmTNnlgni/D7tNHmkbSefP8/Jd5b9m32R6105Lst3me1W7yHZ923b0eodgvJ+2U7O27x/ypR7R36uJ6rHuF61uR/k85cyRnXfZb/l+rWrYyb7K+9VypZymKacqZHgBjjQEVtTbPhf1cgwxbKOrVSU2/bWXTdN+aGPNC6jBVY1CtTP01T8ExRss1+GaMDhsOQ4S6PY1O8LpWHv0K8Lu+4cdYz3KQDoqiQM9jlVeblnD3nvHmqbiTGSmKnun1VJ9rxXkh55fpId1VHGpaPzJtnnJQFfRgX2ke0klq+OXuwjiaR8ljLj1raS9CqJrqYEVZRkWf5WEmNtktLpXFC+p3Lc9l3CLgm+Kajv8zmPxGxqG8jnGWM665KAHXK5uBxLpRPFISgJ5CLXq6aOOeV5ORZzHpY1zrMf6lPmV4/X6jUz16LqtW1TfJ72oVxLq9fa/K56DU2ZEkNXz+Whr1eb7gf5TKtGk0eZpfC9995b7t9dLTGQEeTl8+d7kuBmar617wIATNkcpiLv2vC/z0b6VWU6thHcZaq4Lo08ZZryukePHi0OXZlGbVUFvmm0tWkQGVrpqT91YwXgx+RQRlEAwD40dbIrU5WPKVPYZhR1HmmEX5UkSIIjI+LyvE3JsMQfr169WrlMUj5r/t5m9HZimiRMqknTlHlVGcr2E9fktdV1ett2ZCyvz/5IOfsmJvL5s42UN9vpm0TM+5fytNn/66S+W5LbKVebz5YEaJ7bJjFUPmv1keOmLr+rP6/+mMoawtXyz330dtPI2rGSxdlX9c4A247sTTtOmbL70JLb+R5WzdiR87R6/SrTcjfth+o2q9vLtbFcj8r5t26Zhlw7c92pnodNx0o9hh7yerXpfpBtr7tvRfZRPm8Szul4v6uYv7pvDQRhiozgBjjQRu5VFbx9JpNXJdfn3HO4j5J87Tp9Vunp2pTMOoTAaN107qnoN52PTSMIEhx0PabmkLhkv8rImakfK6s6wwDQzT/6R/9oudYsbBqZ+a1vGTtSlXrIqqnKdxW35D2ePn26HOlWjRVST+o66jKvKUnx8pkSm2T7bdsL6gmgktxuE7OkDpoEUF6fpEY+W9/k2lBT7mY7GQE5xHZSnj6d8EtyO8da12Rt6vT1Y+MYVDuGz7UNJt9ZzoO6tudTXzn/qp1Mtm2HKef03CXhWf0cOR837ZOS5C7J0uzX+ujpyHW3unTDKqUzUNNxkbLl/YZYImOb69W6+8GmpTLqkgjPZ236vGOozngx9bYQjpMEN8AaqypScwiE5jQd+JxHyvdRRl13rWSvev4upyfahwQ+qyr89R6kfRqtmrYz14CfcY29diTTMMX7JLB7SW7/wi/8wr6LwcT96q/+6uLnf/7n912M2UxVnqTkV199tZOO5HmPJDaqidht7vEpexIT2W6X5HY9AVTity7xRhlJmO0k1un7OVLm6nqq2yhTC28r+6HrdtJZonyGPkmepmPjGFTPxznGu2XUfr3TSs7HsUek53ipJrhj1cjjTcoSAyn33NVn5qjvo1VyLSvXxTLDR9MsfG2P06bn5XqdAT5NM17UB4/kOGoT6/e5Xq27H+T46TMyfJeddOr7doj152FIupkC9Ei8zmFK7SlWOFb19pvzSPm+05P3TZQ1ve6Qpykvx8z169cb/16fWqrtmuabtjPnKdvgWBxb5ygAmJN9TVVedefOnXd+13cEc4lLkmBuG7/m8166dOmdeK5PUiz7M2XYdv8dQv2pGrv1bfc4hNGzXeRYrCbD2qxDPhXp0FBGrFY/Q5LOmZ56F7F70yxZ1Y4WXeQa0mW5uim3bVWTvfk8bc/Hpn25zejg+nUtbbbZz033gHIdLutJJ8Gcjldja7oftF1uoq7vwI6hEtwwJUZw08uf+5f+3F7e93vf/l6v1/27/6N/d/GjH/9oMRe3Lt5a/PJ/95f38t6//bf+9s6vuf7fbk48HYJVFc45jO5aV1lO+fdRmW5as2qqyfixlAps34A6id6yJvUxTFOeY2Pdmnb19bf7TtNUn/p9V9M9rZKgIWsyJWAHAIC5mcJU5SUpVa3rJx7rsxZ1kiFl5G9bGc1Ybzt48ODBoo+yXu+u1l2dsmoMmLipT4Iz+3PuCcYu6kmpfXR0yLnXZp3sJCfLUmRNybQymnrX7Uh5z/r5l+tb1xG4GaDQ9zowJfUR112+j6bn5t4w1DrX5fhZd73O9XSXbWj1+0Gb6dfXyVrcuyDBzdRJcNPL7zz1Oxdz8ku/9ZcWc/Lbfua3LRY/s5iNMz91ZnHIVk29NYdpWVK+pspH3yBwW6sqQhcvXlwci5Kc7luRXjXyu+/0WHOW4KB+bvbZB02B8773ZdPa4sBmY503x9QACgBDSYySZE79/pxphnfVkbOelEr8kEeXeDjlTxzXZcRcXlNP7ieW26ZOkf0mwf3uMdZ3drSpt+cMqT4L4T4+e9djt4wILh1Vyhr0+1JGXVevZzn+uiRlS3vQISx9VR9s0PWYqre1fvbZZ4OVLd/RlDqxNN0Ptp1FYlefrf4+qwYuwb5IcAO0GDHblODO7/YVEJWpbTat3ZVKc9O6Ugks9pHgrleAp5JMbCOVzwSFTesCtVUdeX3ixImBSvbuto9FU0DVp5JfD7S7TK01Fr1iYX9BfdMyJPu+JgC7d+bMmeX6yrDpOGG9xE/12ZESzya+6js96xBJqS7vXRITXUZv3717953fbZvQ2NWIvamrroObWK7vsZTtHEun4il8znQQGWqE7r7U124v62m3bV/rO4PEFA3dZjH09qbUzth0P5hS+eZ2LYEqCW6ADZIkTq/vuvQu3FevyyT2UoneNIo8DQlNCe4he0ZuOyI1gcBUelVu2ufbTuNVDbq3+cyrKpRJch9CT+Bdr5s91DreQ3r27Nm+iwCTt8ukswQGHJ9vfetbi5//+Z/fdzHgYKcqz/9nRPIuGvmzDms1ps97d0mIllHCXWK4pg7I235WHe6+aeeo7t98n2lvSAK1S0y4Tef1uZtDG8wUpTNFvY2tbYeZsrTcLjr2MK115uv3g30MOBqzMzjs07f2+u4AM7BqVOg+pwYrPRs3BbirAuh9lH3Ve2aE/BxsOyV9CWZyLGVN6UzJ1/eR1zcdk8cWKA21bnamTRxiO0OqlwloVr8WDhFwN3Ui0ggIAP0lTmm6lybBvQtNIybrCfd1MUdiwS6jr/P8+mjEIRIa6iPffJ/1fZHv6fz588tHEpBNs/AdM0mpYaRNqH4ut72WZBRvXnsoHVWGnlFi6P0ylf3cdD+YStnacu9hyiS4AXoGxAmY9jU1S1nzpE2lqGlEb8q967KvGpE6h2l5yv7apgdoSVgONTq46ZhMUH8s0wUNtf5203m871Hw+7y2wNzUZ9YY4tx58eLFO78zJSgAbKdptGyZqnxsZQ3fPp2DS3K+S6zR1LlbXWJYDx48WBlLZbR+Et1ZFiz/5hjLCMpjjrHqn33b2emOWdM1q02SO8/ZxfVuV+rtkV07ldSTvhcvXlwMaSpJ5Kb7wdCfdZeO+TrKNElwA7Sc0mxKoyxTcWzbg24qZW96vzQSzGFqnlLx3qbXYmnQGSqgWTXy/VhG/tbX3+67bvbDhw8n1+GiaX0moNkY95CmoH0qDSQAMFepZzd1JE3SZxczjNWXHUtMvSkhkzpBEqOrYup1r5vydLmHIMdSpiTfJN9xmQ7/1KlTy9m6jO5m6MEGmzrMlMEIh7L+dlPbVtc1tMceaDCVUceHkBDWIYYpswY3QMuK0a1btxrX2tlHBTWV47bvm8b/NCbUGw0SDO6q7Kt6S7cJSKeUTO2b4CjTkzdNZ9VXmdqqHkTs65jctfq62X0T0/W1kPbdozrlaVqvj2koU1ROOUgt15ljScim93v9nMn3s02DRn0Kx1VLlQAA3UfdNs06leRjlmIaU+KF3M+r771p7dwyKrNrfFVmXKtSlxhe2mhST7tx40br+nmZyjzf6bEt8VWv7zom+8vxUx21nU4T65a1O8R2mqY2qZxfbdpm6u2TSW4PHb9OJSl7CPeDanw8t7Jz+CS4AVpKr+16gjuV2LYVuKGUSnSX9cqSSE4QV5VK6K7K3jQidS6jt6vJ1L4V5PKdDd0jNcnYppEI2yZ3jmX97RKEVvU9H7LP8z3nWKmOLs8xk23me0rAlnLmkcaYulxf6t/nUPsqMwiU5GykLClXriPrPnMSh/lMCWjyGfNvSfBmLfginz3vUdaXyvGXaRiz/a6B/BD7cgzZF7taJ3Jb2T9NgfQhajp+cwxuc3+Z+xppADBVqSOmzlivu5epysdOOCamr9a3U+dc9575W2K4rrGV9Y53J9/P/7+9+4m1I8sP+3457vkjyZohm9YENhIJTUZAbCUbNqksAniMkC3AsQNv2KTilb0gG4IdJCt2uLGAbAj2NjEm3Vx4K5K98R8EsNhcxEA2IdmbBHIAh90QYMSwBuRrj5WxNBrrBd87+HEOD0/VrTpVdavqvu8HuN2P791b99Spf+ec3/lz9erVbV2K49V1FCnHnrpG01Jqh+bQ2wf2jftVPi05519pEEfMBHGI5xr387StkTzo0qaS59NaBr/UKD0PlhJ8r7HmtOswOUW5JPWoEJQKXVMEpHYVICM41RUN/aXg6j56LFPBLE0BtqYCbARTa4McMQ322KODmwKHXdZ/Wrv8nKpZ0640PXlTxT/WcSuhssp0dwRked+XX365HYHCi0osn+PFtIScS+n6vlR2aeDj86V7CevGlV5dAq1ce3wv26fxhmuONBH45GfSEkHiphEP5BHnE/vI+/P1wfkdaWd7pIl7CvtM4yHfyTnP37uOSh+Sl1Nby6jovmtErl0pkJ0vYdBX3jC6lo4NkiStwZxTlZfqT011p+gcWlOHMwCwf3R6pZ7DK0bL7iq7U7eZewavfcnPySXPSLUGpbph072EZeTGnM1vSdintMM59fldSwBE20Kg7r+Genat0vNgbZ2g0vuFnWW0NAa4JakHCm554IDC276mFKYQyKsmqM50cHlBpEvhc6hShZFg2FoK9+n06jUFuQjwTxEcIz2lfMwDt4emdM7WnE95BbStcYP3loLopIXgF/cGKmZ5kJyfaVwhUFuqxPB3AswEhLku8tHI/K702tUQw32CIDDp4/sJDsfoE85Dfqbxh3yLafpKjRx0qGGkNgHmvCGSPCHtpIdt8T0xMwP7wT7zb7ZLHu26bw3Ny32NiiY/lvziWJ206Rbzc3PI6HXO1/xauHbtWvX2JElSt7oppg428p15uaGp4zXlqb4dy9PvyRlQ3A+OWUw/HmV36hbUMUrHZV9rwOvw5PerGKmd61J/X7N8Ro7Lly83XlNcb2nn4aj3HzIDwtK0DHBLUk+l3oWs+dR1KqwhKBRHha2mUPX48eM3fj/lyLS8ZyYovO5rSuExRFCutlAaFZypKjSl7Zam3j4kpXOqr3wkctsU8vHe0jTocf3smpGA84eGvBKuh3jlxzP9W/pq22fSG2nlfW3BzrgncL603QtKM1iQVu6HTfcjPpPeL3dNwT5GXupkooNIakgjZWk9OBslJEkaV1N5rnbEdB/59kszjkWgqjYtdDTNnZTlY/YhlkXqijpRzGZVqmtMPbscnYnnnhEob8Na2wjSJSrVg/O6d7TNHNr62ynuk+wfdX86u0fbCec99X+C2vyf+2LcU7kmuSceenC76Xmwpg5PeVrPnj07W1qkEgPckjRgTebQFPwaEwVCCsaMqKxFYTMvcLPNKaZZJ08I/JfWXFsLCuLpmsU1Ir+nGgHYVFEaY1aBaNhZWo/2/Pqrufby66BtfXRGxJdGe0Rltevo8bHXYG9Cj+nQJVgc51DMENF1ai223aVCmuY1Qe7Sdyw1L7UOnDfpuTNkZpL8/nLIoy0kSVrC2sn7HlFL+TWv2+V1g5jpqTYoVSojD11CRT/TZXaoJnQWztskllbfnUJ+zh9yh/h9KbURcC6lAUHuLYfcYTaWcuB65L7HzHG8uHeSD9T/Y71y8oDrj78f+rTkqdJMgGvq8JR3hjkpx03rYYBbkirwQKdQlhZSY73bKXriUSjkNcbU3hQ08xHUbHvsadapdObrtOR5tmT5elw1hbgo7HPMptzvKdZXj7WVOY6xRvRSKsFjjODOG5iuX7/e+F4qY6XGrdhG39EDU+JajusuD/o1STsI9DlvugaZ80bEUsBwiXmp6Y05ciQfxd20Bt4u6ee4fjzPJEk6vKnK8+3z/B8zKEXZN//s1EuD7dvcIxCHBKU5tnmbyKEdn1x+Pq4pwLZkpXtVWp/g50PuMBvtB2l9PwbWpMt7MXsC7YFrWq5wLKX2wDV1eMrbaAxwa2kMcEvSgEIKBbT04U6liCD3mJWjmNa3VAmrRaEyD2QRyBwryE0epBVO8oh1c9dSECIf0lGwpdGrXURFZurAcKnCVJpqr498CjUaMDiuh7L+dt4g0xTEisauPHiWb6trpZVrYMopne7cufPq566BufR9fRqK+lwT6QgLzs2me82S8lLjevHixaTb5xmZ3gtqpprkeZta04wjkiQd2lTlUyp1Xn3w4MFrnZSHBqVKM3gNbScYI6g8VsfruTs/kxdD0pCXFafcn7k7A4S0PWYpaVo76tL5NRVtbdR5+dshd5jlnraWQSxzyp8Ha+pQk98rTloHBS2fAW5JGmEkd/qAj5HcQ6f9jmnP2Q4V8LEb2kvbJKhZO+otDYKmhbXoCDB2obepAjqkohbBtXz0edO6ObvyIdLIv4fka22gsfYcJN2lfIwpy+eUB2BrC9d5Z4vS+cn+kod0LCn9PZ1qiuPLMd+VP1R2p1qDPl9X/NKlS50+x77F/k3V0JFX6Jj2fcl5qfGVKvFjV+x5psW5zH0sD1i3ies9bfRcS6csSZIOcaryfU8tHAFPypiUAYYGpUp1sbwMvLag8tKCM0Prpukx7tJeUdPpPWYtqv3smNKy7VLOpUOQd5iJwQZ0Pj/ktbfj3KYeZYeJ/s+DJXR46iK9V1g/1hIZ4JakgWLqbSrCaaWIhnWCovl0Z7vEOjXvvPPONphHAGfodNNNqNQzbVBasSPAS2C9b4WH/STNaSGNRoIpgtt8Rz7COJBXXdMeFY8IqDENd1Mgetc+cNzYFgVXtpMXVslXXmNWJCNw3pQXnD/8rW/Bua3yPbRRZqgnT5689u/ahqc0MN5USI815JtGgrKNtGEszstTp0696pyyz8afPPjfp/KRHvMpGjvy66fUUWFJeanxl3sozQ7ANcY9bKxzjnP+8ePHr/7NedOl4ZN7ab52vZ0nJEmabmmRrlOVTykfoR2zDPEaY0phyiV5EH1op+cx6mJ5Xa9mlp2564RjpSM957oEoJs6Re/Ce/p0mJ9KWgde0xTJ+1IbMCzdL6jn5MveHaK4bmIGDJWVOk0NvX9N+UxuaoMzwK1FOpYkjebo6Oj41q1bx9xe89fVq1ePP/744+Nnz5698bnnz59v/8Z74v0XLlwovncqDx8+PD537txrab5582ZrGthf0k1a833lb2N49OjR8enTp7evUr62veJz+avvdniRjiY126w9tpwrtfsQecI5usuVK1eKn+dYzynf97bj0obzM91WjnOYv5Pfu+TXTdP132VbvCf9XB9cr7XnRZdzkzxL39f3Gs/zaeq81H5xXxl6n83v27X3ST6Xnkt3794d5b2SJJ1EUQakfjB1fbRU7ptSU9lzrLpsXrYfUtbI6y/x6lsuzusM/LuvUjq61DFL8rYE2hf6fGZIm0m6ndp935XeuH44v+dG3XmK87zrObLkcnbUP2qV2k+GtJ2kbYND2z6mFPtN3k15Pu2St1VMdX7X3K/angdD0lg6R6ZoJ0mfk7X3eWlKjuCWpBHRo5eRX0dHR9v/pz1koyc4I4UZlZi+6M3L33gPvfqYZjWf+nxqMZqb746ehenIZkZRkkZGxDGyMn7P7+iZSk8+RrzFNsbsgV875VF8Ln/VaOupGNuMqZ53vYbi+7p+V/7qmgePHj3aTqcVn+NnzuklTT01ZD2rfL2/WIM+Zl5gtCkjQbv0UOVa3TWtItuOGR2mkvfg5Vo8Pj7u/ZrqvpPnZWnU7lLyUnXS+0PtPSq2M+RewznM+R/LC8TMGjyvOG948TueY7GcRDwDHbktSVLz2tRT1gXmmKq8NLqSNIxVl6X8m8/GxrTFNflYWkarBvX6IaMAY4a6vB421rnRdzsx61aNmCGqz3mX7zf1lzYxi9ES1q3N0z7lKO7ScayZLWAfYqmvmJVvrHvJ7du3q9O0pHaXNnFexzJ91NXXkvYx9NnXpudBDe4r+1o+MG23yZ8f0iJMGj6XJL0a5UzPaHo30vsterPyMz0AY3T3nD0eS+hlHOkmnaV004NvnyPNNR/O0SG9msdMA+ffGL1T2QbncfRKZbu1vVLZFr3Sm0a/x6ut9/6YI7jH7r07dAR3ni9t6RsjL6XAecJ1nj7H4j7iM0ySpO6jhqceUT3H9+1jlGReTu87Gp5ycYyAHWPEXr6NPjg+pCMfPVg7wj8f6dulLjZkFGVpxoA+eZjPNEA9sk20pSxFmndTjaguXVf7uJ7HyJMhx2rIddVldokljoBvOtZtL675tE2R/Rp636U+t497ec39atfzoG9dNNqM8vvgFO0jeb5KS+SZKUmSOqHwvqsCrzeXHihVPNo+U1uByJdHGDtoNzTAnefD1HkpSZKkOpQjm5beoj5AuWyqJWPSAOI+AmJpoHbKuk6en12nBk+D26UpbmuOQx4o7xoUSYO1pelx+wRXqEs0LbG0KzBVqhP0CWaly37VBKjy72/67jheS+qUm56HU1xf3DvaOikvZWBHdKguTaUenTiGTP9fM/V/pKvp3ku6OJeWkH+pUsebIcvp9d0/zrnSPYH7+VhB7iH3q5J0W12XxkuXcIwlLUv7POb5kR7bqZcpkWrZKihJkjoXwpfU+3xuVCi6Nlbk6501jTLoGuCmcpFvIx9NMHZDytAAd9p4kM8EMEVeSpIkqbu8jNUnKDG2CJDtI8Cd7vfUIyQpt6Z5x342BTZipqk0XWMFuJEGITmGbUEavoN6YBo8KQW4I8DCtmOWuvw7SwHFvudXvgZ3pKVLsJo6R6RhSBAyr9vknYvjPUvrIJ5f50Owz7F29ZCg5r4CZzWjjfvUfdOAY9fO5kPyLz67hHWRm4Lyta+2On5cWzX3kugk0MVY96uuHQPa9pnzL/I4noul50G8YnQ8ryEB7/Q5YbuLluqtuadIlyRJ68DaOxcvXpw7GYvBukesmdRlzTbWO2N9Ntal6rJW2xhrqj158mTv6xg2yddUvnbt2qLzUpIk6aTqs/70VGutPnz4cFvWY83SqVG25Huo69y8eXPS72L7lINZN5r1UykDnz9/flsGvnTp0qt0PHr0aPs3/k1Zd4r1m/mODz/8cPPRRx9tjyNrq/I9169f354Db7/99mtpIY337t3beX7wmVizlW3k633zXV3PsbwOkWM9W9LM+cJ+xP6k+Rlpom4U68jze/altq4Ux4V10WP9Zs5Xtsff+DdrlfMz+bcknO/kf+Qr6R9yfsXxrF23ns/3XQd+qL5p7XqfIx/jnOqTp32uidJn51zzmmvr7t272/MdnPO8SvuTpjO9TzStac77b926Nep51+d8G/t+lWPfeCbE84B95h7GM4L7CfdP7lvkE38nX7nXdblvcV3HevIcn9rzi3tmU3uTtBQGuCVJUufCLY0I+hkqMFQ4ujS+UcmlUkA+Dq3Elz5PpSW2j6jQ9EFFikrT2I2JDx48eO3fNAYtJS8lSZL008brny4jOz/Ktc+fP9/b91GeJGhQGwTog++gvE3ZlzIyP1NuJ4DB3yJARGB06oACgY8ITvF9pINOpxGkIR2Uu5vSEoHw/P8E7fk57xw9VsdU0kV60g4JBIt4EeAmvel+RL7yfgL5Y+RrBLmjjkw9Jg2gk69Nwbm5kQ/kE+7fv18d4OZzS7lndMF5MHV6uZ77ODo62qwV9w2CsoiOJn3bEbhuuO9wzUaQPBDsjU4jKf69j/NuHx3pS88D7iNph4HI26bAdtx3o2NB3IvPnj376t9Dg9ukYR8dzqQapxjGXfVJSZJ0YtDgQlCShiYLtj8VowT6NF7EqALez+dyVGzOnDnz6t9NxTQajWhIyRtnqBzGyGb0OV5UYGjwafrOPG19tk2aIuBOmvORDFPkpSRJktS1DLyPgPJQBIOoB6Ssn2nIecS5s8/OJDoMURdvqt/Xos2Jtqc0sOqMbfOg80IE2ruOHJfm8LVZvlWSJK1K9Oy28eRNjA7oKqbhYsq8knzUSNMobLZT6onLMUpHMvQJ/PLePtMyphXPXe9L96NtFoAx81KSJEnqUgaOEcHSSRCjQtMRtFJXnC8R3Kb9Ysxp+Amkpm0SfFfbVOaaTgS3OcYGt7VkBrglSVKrWPMnpp/SmyOb6cHcRayl11ZBSP/29OnT4jaoZDRNJRdr0UWlJJ1aqgkVVL6rT0CcYPSuxhDyhjWlwq5py8bOS0mSJKlJTCttPUcnze3bt1/97DJk6iOt36fn0Vjy87Frx3qNJ83zKY6xNCYD3JIkqRUBx1izTM0B4nzNqNJ0WwRwdzUgpBWIUrC3y0hrpvGKUShMudhWKYzpwR8/ftxr3UHSefny5cYe1ewrf4+177pOazVmXkqSJElNoixpPUcnTbrm/K66lxSog6ed3KfqbJ525ncK/f1LZ9bz+ailM8AtSZIaMaKB4KhrHDejUse0XASJY80ogr5R+aPBgDXO+D1B3l3TH1KZi8Y2tkGAmuPAi+2/fPmy0/EgTfE+PheBbtIU04rFWt4ExJtGhDehonPv3r3t+trsewS6+T/bfuedd7bfE+tmdan8jp2XkiRJUhPKlmmgTzpJqMsFg9zqgraIVGnZtDFcvHix8Ts1rWgvijYfn49aulPHx8fHcydCkiQtD4FFgpdULsZcV+lQEGQlOBx5QxCWhgF+F8FeKgOMfr9+/XrvygHbYFsR5OWz165d6z1qmXQ9ePBgGxBmGnL+zbY4rkzH2LXXNZ87c+bMq38fHR1tt8Pv6eFLAJ6KEL+jokvwmSB1lyD01HkpSZKkwxcdJCkzUo5sK4fyPt5f09FzLpSL6eyZYnRj2xJAUhvOp6hrUr+T+rQJTHX/jE7+oNP+rVu3Rv8Otec994Qvv/zSdhctngFuSZJURHCbCgyVFgu1agpwS5IkSXOLZXdSbU2e1HXolLmmjrwGuDU2OihzLcBAorrgfIkRvpwvY8/2t68gutrvB12XmJPm5hTlkiSpWLClYkGDj0FMSZIkSUtWClTHTEC5WLZnbcswUT+TxkTgMNbYTdfdlZqk9006FjXdZ2vduHHj1c/MwmFwe38i78l3g9taCwPckiTpDVQiHA0gSZIkaQ3yIEgsb1MKEtOIT+P92gInpUDS2MElnTxM58+1wrXBElZSG4Kf6Uh/RvyOdR9iFg46IIFzklHE2g+WiIuR+X2XxZPmZIBbkiRJkiRJ0qrXDQ0ERh4/flx8H+tuMzX52gInBB7yKdhBQDKCElKtuB4IcsXax1LbKO4YyU3HCJZO4NypRYCcezgjwkHnI2cT3B/yPzq3RIcXaS0McEuSJKm3ly9fzp0ESZIk6dWowphqmUBwPjqbIAwBFIJ3awhuE7RmHVpep06dahwlye/4G++J9zuqW31xvcSoTTqBOB2+dmEUd7o+NgHSCHR3PX+4H3O+8bnoWBHbNci6PxwD8AyN56i0FqeOj4+P506EJEmSlt/IRuNZSCuzkiRJ0lIa6pnilnLq9evXtyMAGQlI8ISR2/y8hsBJlL37jmAksORSU6pF5xBG0XL9UN+TuuD+yojudPQ/9yA6HhG8jvsY96cXL15s729Pnz59FQjnvQTICa46anu/yHc6JXCseD5Ka2OAW5IkSUVUUKl8UgmloTAdDUIllLULz549++pnSZIkaQllWEajUo6l/BrBk3TdWEntAS/qd2uY7UDLQrvBkydPXt1/mfktAtkEr+loxP8vXry47cRDYNUOOfOgM0vMeGKHFq2VAW5JkiQVxTSOKPWkjoqqvX0lSZIk6bCC3HQKibWWJR1WRwRmPDG4rbUzwC1JkiRJkiRJkl4b3clsCK7LKx0ORtYzdbyzNOgQGOCWJEmSJEmSJEmvxBJVTiEtHQ5m4mMNdGbik9bOALckSZIkSZIkSZIkaRW+NncCJEmSJEmSJEmSJEnqwgC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJavTVV19tPv30083777+/effddzdnzpzZnDp1avv/8+fPbz744IPt33lfm/fee2/z0Ucf7S3dkiRJOkynjo+Pj+dOhCSddJ9//vm2kWAqp0+f3pw7d27z9ttvbxsUrly5srlw4UL19mi0oCGjK77r2bNnm32LBpiubt68ufn4448nTZMkSZIkrQV1vw8//HDzySefvFHHpH75xRdfvPGZW7dubW7fvr19T6l+trZ6F/V19pPXixcvtnny8uXL7b/j57t37273S5LUHc8F7qHcS7m/pvdV/s+/j46O3nieSBLeMhskaRkorO3q7d722Vy6LX6mUo7PPvvs1WdodKASXlNQ7JNevptC69WrVzf7RENMHxaYJe0L9+KHDx9unj59+qoSHw3FdAqKzkh0Tpo6HTQwR6Mt6eA7eZGG2mfE2tIgSZJ2dximPsdIbcooqQhC8Ey/c+fOdoQ2AfF79+69VgfsWz9bihs3bryqT0uSxsFzo8+gFEnKOUW5JC0AwQx6JDKpRrwY8Zw3HKTvf/78+av38tn8lf6NbRFISbcXPfEZid13ijgCDXl6SU80XpQCEfvuoR+97Et5SPrIj3wf6HUvSVM3FHPfJXBLwy/3qugsFI3DvIfGY6b75H3RMWlM3PfT7RNMptMT92ru5fSYj2cE7ymNzjqENEiSpObndAQeqD+V6pSBv1NHZeQ2dSzeBz4fQW3KPWt9lrPPlE3YxzE73VHmoyzEVO+WdSSdNHTu5t46dJZJSSeXU5RL0oI1TQVO4/+Q6c8InORTzFGYpCFi6GhB0hsj76iwpwiCTz0aMd1HgiPI00Egm8YXSdqnNFjNPZz7VFqRj+B2jGZOUfFnFNTQRlW2mzagNk0hCtJKGuO9Y907l5AGSZLUjLoiz19QfyO43bcMkj7veXazzejUt7YpynME7fNO4n3r6KXltKIjuSSdVCzfmM+Y4RTlkpo4gluSFqypAEcvxyGofD969Ki4DvjQXuORNoIVpe+do1EmZ89QSftEYy73V4K19E6nsw/3w/xeRAMyDcD8PQ/i0gg69B6d3+fp1ETAuOlZE2mNkVo05jbdV9eUBkmS1P6sTp+11BtrAguUa6KDM8Hg2uW4lmiMmb+Yyj1HHuUd0ftiG3kHb0laC2dWlNSHAW5JWripeikSLIip4/IgzJDGh0gvgZt8tPbQynpXfA/paJriXZL26fLly9vGYkb10EjcZSYLKvZ5pyCCwrX3aD5DOuKzMQ14F2maub/2XdZiSWmQJEm715sOdLgbOgNX3rH6UAzNl6by3NCOAA8ePNiODHe6c0lrtK9ZHyUdBgPcknSCxVo3eYU6nyqtVj7Kjm1PsZbs2FO4S9JYGHFMcJt7bd9ZLLiP5SO5oyNSX9zXo8GUDkh975Fp2tmnmkbTJaRBkiQ1o66WTg1bmpWrJlix5unIp+qI3tQZe2gnbUbNS9JaDZ2xUtLJYoBbkk44ggSlho0xpjUrBS+mbtwg4JFPqydJc+B+xEhjGnZrRy8xkjvvxR7b7Yp7etq5qKaxmsbWdEr1vh2hlpAGSZLULq2r8dwdazYx6oWOynuzjJcvV0PHxqHLaR3SVPCSJEltDHBL0gnX1EO8tCZYX6VpwgmcT1npplGG77QBRdJS1g8rdSTqo/R57tFd76Xp57kvd50WPHf9+vVXP9ORKB3htYY0SJKkdmkn56GB1tzQ8tChoTz07NmzbSdI6rCMvB5j7VlnuJEkSSeFAW5JUrHxgqDBGJXj0kjqKdfiZtuO3pa0BHGvG7pkQunzBLdZY3GXPAg8ZNrLPCjddUaOJaRBkiS1yzuNnT17dtTtX7t2bdTtHQrKRWOOcH/69Oko25EkSVo6A9ySpMbK9Bgj4whG5FPbTRWQiBEHtSMDJWksMR03jZZj3EtLHZEePny483P5/fbSpUujPSu6dlZaQhokSVK7ly9fvvbvFy9ejLr90uxeGhcd1J2iXJIknRQGuCVJm7fffnvS6c3y0YexTvbYCKI4MkDSEsSa2wS633333c2pU6cGBWNLDcLpmtZN8lHeQ6cbzQPM6VSmS06DJElql9f9ppjq+r333ht9m/oZy0SSJOkkMcAtSWo0Vq/90pThY4/ipqc6wR6nJ5e0BKVGYe5PtY3F58+fH2UUz9DpL/PgdATyl5wGSZLUv9Nzl450fTmCe1p37tyZOwmSJEl7Y4BbkvTGdHRDAiolBDPygMTY08qyPb5j6MhASRpD0/SQtY3FNTNtlL5raHC5b+P3EtIgSZJ2y5eVoizz0Ucfjfod1tWmQ33Y6cklSdJJYoBbktRYEb548eJo31EaWT3mFGqMCHf0tqSlNhLvClRPYYqRzfl+7RqRvoQ0SJKk3Up1vw8//HD0oGlTGUn1KAtZF5YkSSeNAW5Jqqg80pOd9cMY4XzmzJnt2qq8+Pf777//xmgyfsdrqZ4+fdpp1PWY63CPOYUa+c1xcf3tn/bc5zxMz8cuwZ84r1krOM5p/s82hkyrLJ1UpUZGGnRrp+ZsmmmjLWCeX7djNCifPXv2jd99/vnni06DJEnajWd0qf53+fLlUb/n8ePHm7t37466zZOMDgiubS5Jkk6it+ZOgNbpj//Fv5jle0994xubb/zKr/T+3I9///c3xz/+8WYO3/zVX+39mT/5V/9q86d/+IebOXz9l39587VvfrPXZ37y4sXmrUJj86Gh8Zwe7ARTqfwTTCWAwc8EGGjEJwDx8OHDbQWTxgF+5jOMVF7qdGyl9VExRQ9wgtzp1OTkKd8/dLpaRm9fvXr1xI8GIJjNuXbr1q1tYJrzj3/zIo9KnQw49pyjHJf0vOacfvLkyfb38aIhim1L2o1AdjwDuM/xb66h2vvU8+fPi79v214eXB5j9Hjp+/iepmfcEtIgSZK6oR6Q1wOps9EJlsD0GPWtLs9r6i/UramrvHjx4lWdNX7Hv4+Ojt5ID5+7f//+Ns3xXuqavKijU2ccWvccgnRH2ijbxT6l+0d5sVRvK2F/b9y44dTkC0A7ETMXRed7jkm0FVEPiPPvULHf1H0YPJHuP9cbs0PQVtGno2+aj9wD4rpP7wFcQ/n1zN8ePHiwTQvvibpIdDTmOHS9viId8X2RjvyavX379s52kmj7atsO6drV+WfMfInjwznKfb/r+UnbUBzruPewLY5z5O8+2ubifh/7k9/v95GOsc/79NnHcYyf41xhm/kMafye8ybOjTgW/G5p9eP0GR1pjTbItrSyb+xPnHMxIItrb2n7qP07dXx8fDzD92rl/vl/8hdn+d5v/MfnN+f/yT/p/bnnf/2vb378/5Qbhqf2F//vf977M//yv/vvN//2n/7TzRzO/eN/1Dso/4P/6X/e/NJ/+3c3h4yHcIzAbgoUpnhQ8/50RBkP3WfPnvX+bkbR5hVWClBjVY4oSOTrYVNYaAqm7ELjB0r7Go0jKSoCQ3rwkzfkEYW8UsExgr6ppveuGceQY5nvG4HuqNRxTNLCX5zXHG/O61KekL8cs9jG0OMlqQ6V9Hx2EK7ZtinAmYlhrHt7fq9JtXV+WUIaJGmoP/iDP9gcmm9/+9ubb33rW70+80d/9EebH/7wh63v+e53v9s7Lf/m3/ybzR//8R9v1qRmP9cirT/kqAfTeW/KIDHfTRp2SQPclA1iOnXSRhmJv/FvGsTTejl/o+4zdB+oI6Xb7dJOUKp753ZthzpcGkgdYo66XeRbHLumzo8xe1EEejheUfdH2+fTzzblZ5znTduJbUSn1SbsC50M+H+ce+xjDIKIYE6kuU8Hhpq82lUm5ryhXrEr/9hWl5BBeu2Bdiq2Hx3mSX/UYfjOe/fudWrLarsPhTyQy4x0pCWCZnEcSAfXTRrs7nocuqSjSz0kv1/UXo9z5gvHMdpF0+3wea6zNF1D6mbpdb7rfh+dli5durQ9b2nzIpAf5+NY9/t9nPddnn15/T/qxewf2+fz7G+ca12eS/tAemJ2yehoQr5wvOKZSPpL91rymXM4zWPyII5z0+d0cjiCW5J2SAtxeYCwCYUL3lsKSCwJhYtSBXuKNVNB3pE3acE3RgbXolATFcmTikIdhVoKrnk+8O84xpzHEViKgjCfodDbhEInBcoIJlGwjAK0pP0pPUvapqMsjeQZowd7qRGM0QNLTYMkjeH73//+5tDQIPhrv/ZrvT5DOTLvOJr77d/+7d5p+d3f/d3N7/3e723WpGY/14K6QVMZI2Z2ol4XjdRj18NixGs6IrEJf2cKdRrPOaepV5bqKWkQkjIVQYC5grukk3TXthOwzFcakELTCO5d5a7Ssi/7EmmuHX0+9PNjbCcNLjV1ouc8izalqLcTjOHVtVw81r6Ouc18UAfnNUG8dJ8ioJcGt2JE6642J94TI5O7LEUUSwWWAnpxb4j2uTgO/H9XEDa9F6UjlvtiO9zb0lHbtduZI19i4EhTwJT3p+2ftCFRPxvzHku6Yn/4Pkbvlq4h0hiDOeJ+P1Zn6CnP+z7PvrTjQrpv/C49LziedEaYc7bLOBaUG0qzC/BcJJ3xvjRYHeddPsgrzt133nln+/fIB51MrsEtSTtEcJtCXN+pT/pUWpayVheB+SmDl/mouyGV+yi8TjGd+ppEALtUoEvPv6hIUQAkzygEtwW3Q762uQVHab+aRvq0VdKb1uyeQlPlewlpkCRJ/dDA3mW6XRrSqU8yWwsN1LGc11DUXwgCUC+lMZyRe6V6OM/+mGmK91P3bqrHxmxqaQM56Y+6/r7QpkA6SS+jY2sCLuwHeZK+SrPjRN61veaY/Yb0s+98f1NdNM4B3scrjiu/j9/x+aaRidRX2X/e1/Qe/k5aSkHpGMnKdzSNDEw7jLOtto4e/O3LL798VTfnOiEwsyvIGXnFi/xoao/iOJLWLucUaSG9Te9L865JzMwXgTQ+09b2FddfHMcYRd6GcyPuA6SlbfRrBBx5b9toVbaX3iO63LNIR1yzbefcLuRR7M+Qa29f+ZIGSSOfOC92bSc9R7nH7uoU1xX1Ss45OhmwP7uW/iJfSG+8h30Yer+f+rwvPfuanmlsi33i+9NzqRRAn3PQVXTu4Xg0tTWnbe2xxGLcY/k5f3bH+9LZTjnXdHIZ4JakFjw044G5qwDeVEBZwnQwuahQpQGBmB5m6vVLSvnRJcjatobZEvN4n2J68VLBOq800+OfAmaX9Z1Cvl0qFZL2p3St7moUWcJajEtIgyRJqit79FkSqxTw5t9jlAUi2JiLkXFNQcoSggH5kk019fyx7ArSHLJoKym1BZAvu44pn+ez+XkaHTS6dNrnXCAglG6DzxGMZhtNx4bzjuB2TH/cBdtiHft8KbCu+K7082l6+55H8Zm0PhHLCO3Ku+hYkk7N3CVYG8G7PEDXFaNkS7jPsK2uAzXywRF90jBmZ/+xtjN1vhBkZFv7yt8m3KcJcnNtdm2zJL3pNZMuPdnXHOd93ONKonPNWEtXToE8i1ledk0hnp43MUtJDMrJj3eM5M/Z9nByGeCWpBZpQaR2VPOSRhdHBZ5X+vCnYNTUM35sFNLyymrakaCPqPie1EYBUPCLwl/T31NUTjjOtZ0K0GUqLJ0ssV4UDZpLftHLd0n35K7XW34dR6NUm32Onm66fy8hDZIkqQ4N0rUdiSm/0IgfZa+hz+lSXTxGbvetpxPwSOuPBBzmHP110pd+GtpZfYyyPVMdB86pXe0LUQ6nXt2nbsz704AU53Cfc680gGJIefv69euvfu56LeUdQpoCrCWxTnDIp1Pete95+si/GMXatU0oDwjy/X3uT3zPWO1PY7S/TZUv3BfT7XS9T+Wz/0V71VBsI793d83jtN5M22PN/X6u876U73Q64Lovtenl90Pya64gOEFovr/L+tjpfsbU7k2d21imcsrrUutjgFuSWqQjVWsLZTyox37QxrTcu14UCuhlGIGnWIMmxHRaQ4KdNUo9Fpum4G1DwWZtwaqxxfQ9TT3cS6OtuxQwpaFB2CUauiTCHFgvcknX8BIqjktIgyRJJ0FMhzskCEs9j0D3kKlqWZs0R122Zv1vyhFpQLM0Ja/2Kw/A9GmfyDu8x1rCfcTnOae6nOsRYCFQRXtLn1GhefsFoxWHtKXEEmQ1IjjedcQ7aU/rfDUzEOTXXt/9T/H9BDD73AdK+9l3hrrS/WhJxsoXzmv2tU+AtBRoHOPeWrNkZMhnY+h7v5/zvM/PNa5Zvj/fXuBY8cwmv9hvRrzPgec+eZyvT95V20ydpevPZRRPtrfmToAkrUVp+qu5emX3DdBEr84YPR3TxMwlKqFpxZP87bMOUVTiljwlzz7cv39/W9AvFRpjze1U18prvh2pDdchQdelnyulGSSWLCqGbVNrSpIkTSnW7KUOSp2tNphGsITPj7W81JD1VKkTEWBI60oEPUrrl2p6BJDS8ypG1XYNjHBOpaMyCUD3Oc+ifaXL1MGkK69jk3bqQV3q2XldJDrgdq2j8B35yPHatqroNNsULEuxf/mghJprOdouIg9jNr+aIBj5VtPxlzxM661Lr8POlS+cYzWDYdhOen6Okb9DB7bk94iu9/ulnffRxteWBu4lc7d5RCeLrvelUqekpmPONtl/jgvnGsfypC9bedIZ4JakjgUzCok8YGsLeGNOn5qvl7RGeQEz1tPuGrgZs3FkzcizpnMhD4w1TfHT5TtSJ30aPZWd9M4mY+OZkVfq+q6HeahTgS8hDZIknTRpozn1A+rHdLbtOxKu74jAqUZR5vVR9qdPfVTjKQVjCF7Utnn0nV4/OpAOqed2DXCPEWCNGfvy6aT7pp+OAFyLXYJseTvCkJkKmcY6DRr27ZCQqrmX5Ok+xLrFGPlSmnK85t784sWLzdyYjr/mfr+0855zdYpZQscUHX76dLJ48uTJa/9mH9vuZ7QH73smUi2XAW5VOfeP/9Es33vqG9+o+tx/9Pf//ub4xz/erMV/8D98uPmlv/t3Zvnur//yL/f+zJm/+d9sDhUjndOexBRGeFBHb7SunBL6TVTI8rVvuhZSopfzSS/QREU4XTsrlfdIramclLZjo480vXxUUt+OTUuYOm8JaZAkSeOjPsAryiYRLKDesGu2MZZfyaeVXkLAA4zqtu4+jxiRF+g80bXsm88qENOUdznHom2ha0fwmB0vD0pfvHhx01X+eWZI6JtXeUdY2kb6dGaPEaRdR8bmo1iHdFJhWvfUs2fPqrYzVrvEEgKwYxorX8YKpC6hA0EpT7rc75d43s89OnuXaKftk1d5R7ml76OWxQC3qnzzV391sybf+JVf2azJ1//8n9+syVtnz24OFRUHpjtJC2RUfiiYUECiUsyD14Bff6WptSg8dglaUxAd2sP6ELD/x8fHjX/P15Kiw0aNvJGqdjtjoTGAa/Do6GjWdEhT4bmTXneHMGuHJK3Zb/3Wb20Ozbe//e3enzl//vwkefEbv/Ebm+9973ujb1f7H92dBrwpv5SC3dStCXLPHUjOp4zFkHXCNbxzZxpMop2gy6jk9H1p0Ljr6MhYT7tPMIaOHKSX7+Z7acMYEgisCQDmHQL4uU+AO9LcJZBUuo55HtTKj2nfJfiatqNx8+XQ8pdzPT3Xdp13Sz3vh6RhH2iH7Dsyfay2S51MBrglaYd79+4V1/eiMpMGZ6kg02s31reeu0f6GuRTa0XFbFdhqG/l7SSikjxGL0i2k/dOn7s3ZWltcelQcH9LRxONGdye6rrp87xbQhokqa/vfve7cydhEb71rW9tX2P7zne+M/o2tYyANwHjUl26z5rFU6L+ngcZnKZ8HtGGknc42FUOZqQ36DCRjpDsuqRZzfTkvLd29OVY5VbaUdIAd5+1vLn2eG/XOkapM8qQazf/7MuXL0fZjn7KAHe3/Yk2s6b7ved9nS+//LLXPY5jkLcRzN3mqHX52twJkKSloydvl2AqD2UqGFTgz5w5sw1091mP7CQqVTh3jeCO6cZcf7tfD8ja6aXyBp+Ykm1Ofdcok9aCZ0ba6Yf7YW1we6qAb6ki3nRPWEIaJEnSvHXppumXl9BhuRTYqB1Vp+HyJbW6zO5GGwznWUybn4/sbhNB4aYlv5bcWbsUlO+6hFu8r+v05HnbwtCyd76MUW1+nD3g2SSHGCtfDq0DcWnkc9v9fqnn/dLrvX3Pm/wYxOwqUlcGuCWpAwIM9N7r85CNqcy7VhpOqjxQvasi2rUn9kk31rrZY63jPaYhveWlpeK+d/ny5Vf/5pkz5F63z4pvUyPKEtIgSZLmRXmgNBJuCYHkUvnh0NbjXZN8tD/l47a2gRj5FwHqPFC9a8r5mJ587PaFdPADQTUGQJw6dWr74t9jnft5W1Osq70LaWOEZNeyemmb7EfsU98X+SHtW6k9t+1+v9Tz/tCCv0+ePHnt347eVl9OUS5JHdErmBdTxxJk7TqKlMoDPf8MynWbWgvkb6lHPwVMKm3m5f7WzY5K/9DtjClPk7R23NvoEBWVaDqWjFGxy6d5rJ0GbVdFv62SvYQ0SJKkbrpOcdwX9eh8/dMIXs45Gq1UfnC2qGVNU97UNhB/S9fP5v8ffvjha9OXt82GxOfHGi3IuU1Hjrxtg32izSNGXDOKk8D3GEFuAvPp/oLvb9vnmBGvz0CM0jWRd4QfYukjUnUY8hHUu+73Sz3vS/uxZmO1XerkMsAtST1RWeAV6xYRbOX/u3oWU4HoOmXUSRIVvTT/mtbYJrDJe10TbT/rb5fWwonGg7mU0iQdSnCbxrXHjx+Pdo+j8pteL2NcO6Ve7qxfueQ0SJKk3aiDUWc9OjqapOMYgbi8IXvuAHcpUGBdY17MGJYGieng3hTgpn0grZ9GW0HUhWN2uNI5FnXmoW00nNNcN2l7RgS1m+rOY11fbIfvSEeq71riiL/H54ZwlKUOQd/7vef99Es2mMfqyynKJakSlSR6zFJBYF2x4+PjbW8+KhOlCguVtCVMw7ZEee/hGKmdo2LrlO+75WsF1a6bTY/3pRU079y5M3cSpFExLTkVO65TOkyN2YFnis5ApUaAtvvLEtIgSZK6G2O2lZLSlMhzj5Yu7auzwswrr+9zjuSdt0vTk4eu05RHEL12CS6+m5GGvOI8ptxLeZ52oX11DO+aX5Fm8qPvPpeuCTuC6BDsmoks53k/rtL621JfjuCWpBZRUenacE6lnReBWKYyz6eL4vdLCBIuTWlqLToOpJXC6H3t+tu75dMm1Z5zeWPA3J0LSM+uddQ0n5jJYsmVvhjVsZRgKA1i3NtID41hYzeoXrp06Y1rJkaKj9UQTNrbtreENEiSpO6mHFVNOSwNas9dbrTT3PLElOHpsaHjdR74yKcnb2pbaBrRzDZjSvS+OIfTwHako7TW/FzTupdGpsdSX33r9VwTedCc8rjlb61JqUNT2/3e8349bZc62QxwS1IL1kaiUFNTUaESxWfZRnAEd/eptWJtqCg8RsDbwuR+1rCJDgVjFDY5jvSQp/Caji5nSkC2SQME10r0gC81QJQ6jIwh1kpLlxkgLaSLa7dtnzlf2ScqOewj/48ALzM6BPad74h1BjmHmU6Z7fftsDFGXk6BvEjvdUtG/jDrxtxi7b3a4HbkOfvSVDEvnb+cg0N6Ruf3hV2NwEtIgyRJ6lcPmKqROX9mz/0MLy17cvbs2c1JwTI5te0dU6KORP2vbQmzfHryQJk6naa8tNZ7jHKumZ48XV4oTe+cy9GV8quUHvKQvOlbDi8F+ubunCL1VTpn2+73nvfTc/1tjcEpyiVphyFBaSpceYCpabqok67UizhdeyvWhNNu+TlWszZtaXrypgAcQVUq+U1BuDNnzmwDsrzvyy+/3K7rx4ugHp/jdf78+e21ljYyxbRvfL4U3D516lTx1SXQSqMG38v2CRRT2SdNBAv5mbREkLipEkMecV6yj7w/Xx+c35F2tkeaaGRgn2/fvr39Ts5n/t51VPqQvJzakkZFt+EcXkKvYI49xzOmMazpuPPkyZOq6cHzJQyGBpd3XW9LSIMkSepfxpgC5dTU3J2XS3XzJZQVT7p8mvFYLzvvDN/UPpD/Pg/2Rv2rZnpyyp1pnY9zeM7gNkr5kNcxowN7TZtKKeg09/ICUl+lTu5t93vP++Wvvz20wwHPEu7plE1oS6S9jTa1KQbXaDoGuCWpwwNzSCEm72lsgaisFECNiiKVs6UEppau1EhTM1Iy7VyAtoow7y0F0UkLhUU6eRCUzY8xP9PbnEBt0/p3VCoICHMd5Z1F+F3ptavSTiGWAizp4/sJMMbsAAQL+ZnKD/nGe/Me+oGRDozUJsCcjx4gT0g76WFbfA/7zzbZD/aZf7Nd8mhXAXpoXu5rVDT5seQXx2ruBihGV3B+cC48fvy4umE3pjbfJT83h4xe53zNr4UuDYNLSIMkSepmyiWB8md4TUfcKTuzx+hfzavUeTYtw1MPa2sfyMuG+TnNtmqmJ+d8yc+Ze/fubfrqEpSh3Yg6Ypf3xgxkqTt37hTzr6bcXMrnKTvCnBSOBt6vvC121/3e835a+b2074AJ2v0uX75c9d0xmIYXsyHyTKGtiPY02vA4Vwh2O0BtHQxwS9IeKvlpwWjuXupLlk/XHFOHUTlz7e26QmJNp4B8JDJK07+l7y31bo1RlXknjxzXRFPDAAHdeOWB6/Rv6attn0lvpJX3tQU7CT7Gedg2QpT05/tIWglEN523fIa/RyF+1xTsY+Sl5kdgm+M8ZOR2Ogq6SwMsHUTGmpUk/2zXZSOWkAZJklTf2XUsaXCAcvCcz/BSw/VJ6zS35ABbXv+M9aPj57ZjlQe/o10hfq4dyVyqOzbVk9t06ZBMeqkjdu28nO9PvuRYTOlec81xrebBp7GW3yONU91vpjLWfcvBL/uVzyK2637veb/s9be5p9V0kotlJjiWpIH7Ou0qXNfx7CDgTVtebQBd+2WAW5IqpmseUgCmd9ihq60olyqZN27c2FbOljY9OfsYU1MvuZBYs4ZNXnFvq7RzbcQa6qUKddcREDUNAzXSAmqXYHEEqEu99VP5dc22uxTQ07ymAaP0HUvNS/XDseU+xnlBcHuM6by69HLO19kb0gs5v790vS8vIQ2SJKm7XeXkWmlZd+4yaylYudZpSWvbGAieLrV9Ii/jUfaNOlnMgtUm/3u06cRxrzn/ho44nLJjQSl4nc6I1zale809YayRjVxzJ7E878jQ/Yr7Rt/7vef9dPL7adOyhyVxT6tZqow2ZtpTdrXZxXKFS2vz1ZsMcEtSBxRihhRk0p6Zhz7lGftaO0VyaWot8n1p6/vG2soUpmKN6KX0vh1jBHfeszVfAy1Fr9PSKOXYRp98mXoKegLIUanJA25N0g4Cfaa27tpgwj6n53apkrPEvFQ/MXMA50UeoK0RFe1Lly51en8+grq2t3j6Oa6fPufZEtIgSZK6odxJ2XnKAENeNuhraP0rL4tQp1lSnXPoiNIuQVTek6+LvhSl0ZOMqts1PXnT6Mw43gRGajtX5Hlae75M1XbQtM/UY0ttLX2QZ/n+Dh2BGoMG5u7s0lfeKeTFixd7H0Rz0gxdho37Rs393vO+H/Im1rNuC+CXOhz0GY3NLJ81bQG0y8QMrfkSiCnSHm2BdkZZPgPcktSjl1eteCDWFGBKFdOaAvQ+xHTVvGoLAaVC0JDGjyl6R+e9BGOKm0NZfzvPs6ZCI4VX3tt2fPr0FKficPbs2c1U0nXIuhaE0/f16bnZZyRE2nOYxo6mJRGWlJfqjmMaMwekaz31fXGPicpiVKq7Nqrx7EnvBTWjsvJG7ryRYA1pkCRJm15l1DFHLqXPfoILQ6f5HRIgykfulZYcWps8P/NOy011viUH9fO6D1PS7pqePORBcPaXsiRl87YO3FMr1fXagne19crYZ+oNMZPUUHmH76EzHkT9fGhnl33Lr5maNqeTPj11X0Pqffl04H3v95733XB/5T4THXji3tP1eHYtE3APpe2z5pkd5YZdz728U70W7liS1OjChQvH3Crj9fHHH/fexsOHD199/vnz570+e3R09Nr3x+vq1avHS88vfq6V7+8Q586de2N7d+/erd4ex7B0THhxrOfEfqXpqT0GV65c2Zn/nJunT58+vnXrVvHvz549eyMtQ/Mnz/s+8vT0SQv7ues782uVf3eVfza/vqfIS+1HXCdN94yhr77XT5qWPvfB/BytvYcuIQ2SJKmMuu5UdZx025QF+pSV2+rFfevXTfW5R48eDW4rqC2bjLUd6hDpdm7evNmpnaImD/elqe5N/ahvW8wY7QultoWa450fK+rfTddMzfZL+9z3muva5jCkXtC3bSvP/6a2iL551Hc7+XnVt30ujm3e7rLrmt13vtSmZ+h+jXm/R3691dzv5zrvS3kx1rU8tlK7R6kNPfYpP9+63NejfaV0z+x7brbhnOV7aq8B7ZcBbknqWTnoUxhKG/P7FjJ5uOcFw7ygsISCDftI4a5UmOF3/K1vQZRCxNBCNd9JnpfyjnRRKanJv6bCdk3FZmx5wb22YpPmG5Wlpu8iH/ukJ63A8x1dGybGCHDnFZI+351WGJvO5SEBbuTn59R5qelxDpQawcZ6NV2bY3f0YD/SZ+HQwPIS0iBJknYHuNN/D2nkpf5cWw7fVQfrWx4qlc9qyxV5/be27jXWdvKg2668oR4xpFP6XG0yu+qguTHr7Hmdsm/7ENdUpH/XPnHN1ZT3Sx1VaoNBUwUM4zrs29llrGOZX3M128nT0vf7OZe6dHSYM19q05PfY/tup9SxmftAzfUwVmB6rvM+rzvXfO8+ND2jS/sZweN8MECXdgHOpZpOcqVzk20tuYOXujPALUkdK1MULKJA06XSycM5Hta7GgTYNu8dMtJvSC+2vtqCvLteXQoiaSGuawPIkPyLz3ZtTGjqeDB3A0G+/7UF37yg2RTc7lIY7BLgY3tdtjUkwJ12mhjyajofhwa483yaOi81vaZOCWO9au/3nMPpudRWye/z3rWlQZIkva4U0E47bEdQpk85Nw8uDKmf5GWhqG9TB+uSprzDXO0MbWynqSN1n9HubKepjlKbT/n+NW0n6lVrmBUqP4f6dgDI6+5D9zmvk3UNtkRHjzgmeV0hTVec77WdHYacl13l527X7+DciyBf17YePtN0rfQZuNB2zfUdQJKfl133P+1YUqov9jlWS8uXtntj3+3E5yKoHW1UXe/3pWNUc7+f87znfaVBV2xniUHuLs+xuA9GvqXHaFf7RlwvQwZ3lK458pPzdol5qm4McEtSiyhMpAWh9AHMw5F/83DmFb0woxGAB2WXAk8EdCPQWvPaZ4A1Cpw1aexaGCUf+/Q8TRteavOvz8iE6HUY09Zw7Gt6lI4pDUr37dneNgKA4xDnd99COce7a6BvV4VjSIA7T8PYQeChAe684aWUvjHzUtNrm4FjjFdtg1fg8+l9k/sY5w0v/pZWpqfqOLGENEiSpDcD3GlZthS04LnM+0t1gpjhKw0E8vOQRulSgJvtpUGDtno3DddpXalvgCBGjfUpq/H+vExeu53a5WBK9bZ4z9x119pj3/c8yke2j5GePMi963yK6ycPYufHivOF91AGHlKfT+uMQ9sF+gQQKcu3ldfj/V3aEyIP+l4reWfY2muuS10rre/xmbZzgHyJUchxf22q2/Meth332SXnS+122tre0ms+vWbifr+rnZX3pXk7dkB4qvM+7s01+bnrGbgPEfxPz/HSc7h0LpaOd37t8Pehx7E0Ij5/ce4sYbZUdWeAW5Ja8GBrKtjyUM4Lc9Gj0N5fJ0863djcaeAcHCMQFBWDqMDHuV27rbhm2gqTuyoqtY0TeU/bNQa4x8xLKXCecJ2njSXps2wf098vIQ2SJJ10EeBumi0lRgv2bXwfY/aVpgB3/C2CGTESK+0wlwYjS43rXUTjet8O1Pl39d1OTb0nDQakDfbkRRqAWFPHwTTfaqT5MJa8E0e6fBTnXjoFNekvtQ/FTH75uT20Pp8GcYZ2it2l1Ak7yvDkAedcWm/tOqgg8rbvNZfvb+212zWdeecfvo/9js4Kab09D5x16byep2Np+RL71nc7bddiukZz6W/pfSzvIJ13Ophq9q8pzvto7+qTl2meLmGQQ+RJdIbgGiBd8fum45HmZXTs4BV5OFYbZ6nTU+lF+g1yr8cp/rORJEmDfPjhh5tPP/108/z587mTsgpffPHF5rPPPtt8/PHHm88///y1vzUVTfjM+fPnd76v6fh89NFHr/797NmzzYULFzZj+eqrrzZnzpx59e+jo6PN6dOnO3/+3XfffS0f+uxbTV5KkiRJKcqTH3zwQaf6DGXO+/fvb///8uXLbXmU8jDl33Pnzm1f169f31y9enWSsnapPM977ty5s00T6eEV6bl48eLm/fff31y5cmVzUkT9IPKC/CEvOMa3bt3arG1fOH53797d3Lx5s/fnqQt+8sknm8ePH49aB8yvhdJ5995777VeBxwX9u/Ro0fbf+96f1dsh7RwnfSpl9ZiPx48eLB5+PDh9nu5L8Q5x4v0cOz2kZY5cH5xDOOeyL6Dfeec47rL7z+c0xz7t99+e5sv6f9p9+BnzqGxz9k1oG2N/Sb/SpZyvz/p531J2jYVx4Vjcfv27dZzmfenx7Tt2hmKY8Q1G/fuEr4z7staNgPckiSNgELX06dPtxVIbV4VSrtUzikAU/APFIZLDRddA9xsiwpNug0qSPwuUAEZq8FtjAA3n41KMJ/j81PmpSRJkrQWXQLckiRJfdHmRtsZQe8UHf6aOlloOb42dwIkSToEBCDpKaqfBVpv3LjR6b30jEw7BkzRSSDv8fnkyZPNkhrsIriNa9euLTovJUmSJEmSpLWjsxwB7nzGi6bR3VoWA9ySJI2AICTTTOtnCNoS+O9aoIwgNNM6DVH6fEyLNKSgyvHtuj99MKVVKh1pPndeSpIkSZIkSWvDqGxmgGE2yF3tgLSlOQPi+hjgliRpIKa/xkla061v3nQRUww2TQHEWlRdxJpHOdZsSzsk9AlW834Kw12nJ+oTWKanaOAcajqPxsxLSZIkSZIk6RDRhsdykjFghDW+d7l06dKrn23jXQcD3JIkDXT//v1tQNFg4pu6FCBDBJzTAmUqX9O6qfcl2ykFw/PemGnAexfe26cnZ9dgNO9L9yMNdk+Zl5IkSZIkSdIhYqBKqkubbbSl0X6Yt0FqmQxwS5I0AIUfgpT0CtSb6Cn54Ycfdi58UuC8evVq43vSvz19+rS4DQqhMYI5RwA5/sZURXmBt+Sjjz7aflefgDjB6F3TH5E36draDx8+bC1wj52XkiRJkiRJ0iFjNHaXNr0YdHL79u09pEpjMMAtSdIABBwJJLpOS3uAmGByG9adJoDbNoI5L2SWgr1dRlo/e/bs1VRD7733Xutoa9LO9zx+/LhX703Sefny5cZp0NlX/s7/I7jdJRg9Zl5KkiRJkiRJhyYGtzx//nzz6NGjne+nrY02PNrmHCyyHga4JUmqxChZgqN9RvaeNBQKKUgSJCbwSn5RYCQAywhnCpDnz5/f/p4g7641biigRuCWbRCg5jjwYvusfd3leJCmeB+fi0A3aeJFIJl08V0ExJtGhDchyH7v3r3Nu+++u933CHTzf7b9zjvvbL+H7bL9LoXnsfNSkiRJWgPK+F1+J0mSBNrEeNF+tgvtaczMyftpT9N6nDo+Pj6eOxGSJK0NgUWClxcvXuzUE/CkIchKcDjyhiAsBUZ+F8FeRkQz+v369evbgHCfEdJsg21FkJfPXrt2rfeoZdL14MGDbQGWacj5N9viuFK47dprk8+dOXPm1b+Pjo622+H3TFdOAJ4gNL9jffAoZHcJQk+dl5IkSdKSUY6m7pXqOgOSJEk6uRjQQnsfMy3SBhcDWGhPo62OtjXKGbdu3XIA0woZ4JYkqQINLAQaGX1rMFFNAW5JkiRJ9WiApmMojc8pOncS5O4705IkSTpZKEMw+IQyRcyESDmCF2UMBszYhrdOBrglSaooGFEAYkQthSHJALckSZI03kxZUcbuIsrdjx8/NuAtSZJ0Qrw1dwIkSVobGk2eP38+dzIkSZIk6eDEskF9OozyGdflliRJOjkMcEuSJEmSJEmaHTNkOdmkJEmSdvnazndIkiSpF0ePSJIkSZIkSdI0DHBLkiSNsFZgqut6gZIkSZIkSZKkfk4dO++PJElSb5999tnm888/37x48WLz6aefvhbkZmrFq1evbs6ePfvqZ0mSJEmSJEnScAa4JUmSKrz33nvbIDdOnz79xt9jFPeVK1c2jx492nv6JEmSJEmSJOkQGeCWJEmSJEmSJEmSJK2Ca3BLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJElq9NVXX20+/fTTzfvvv7959913N2fOnNmcOnVq+//z589vPvjgg+3feV+b9957b/PRRx/tLd2SJEk6TKeOj4+P506EJEmSJEmSpGUhYP3hhx9uPvnkk9d+f/r06c3bb7+9+eKLL974zK1btza3b9/evicVAfKbN29uPv7448bv/Oyzz7bfy7ZfvHjx6ueXL19uf+b/9+7d21y9enXEPZUkaRifX9J+vbXn75MkSZIkSZK0cBGQDjTIM1L7ypUrr70vGvBp2L9z5852hDYB8bwRn0B5F3xHKXAuSdKS+fyS9sspyiVJkiRJkiS9QpA6gtuMxH727Nnm4cOHbwS34+8XLlzYjtw+Ojravg98PoLaBLy7NvrzHQTG2WY+ClySpKXy+SXtlyO4JUmSJEmSJL0KRkdg+ty5c9vgdp+G+mjcT9fbzqc4b5NPX05aXLdbkrR0Pr+k/XIEtyRJkiRJkqTN559/vp1iNTx69KhqFBqB8efPn2//T+M+05jXunv3bvVnNQ6OH1PWS5K68/klTcsAtyRJkiRJkqTNjRs3Xv3MlOMEqIcgQD4Gp3qd14MHD7ZTzru2rCT14/NLmo4BbkmSJEmSJOmE++yzz7YjuMPt27cHb5MAeT5la42333578DZUj9H4kqT+fH5J0zHALUktqNyfOnVqsteZM2c277777qu1ydLGhDVPXdYnD9j/OTC9Wp90ptP0SZIkSdKhSQPRV65cGW3U2c2bNwePBNe8hkwxL0mSNAUD3JK0w5BKPZ/NX3klkaA2PeU//PDDbbCXoPfQNcra5N+VB9sJ5A5dW6tPnrH/c6zlRR7MPaUQHRvId0laEp4TPAvS5wT/P3/+/HZqyk8++WQv01OSDr4vTQdpiE5h+2hoXUIaJEnal7ReduHChVnrX1oWpyaXJElLY4BbklpQqT86OtocHx+/ej179mzbm73p/UzdFe/ls/kr/Rvbevjw4Wvbo7Gcyn8EusfCtthm2ih/8eLFbW/6q1evbqfMIdhM4ILGfN5LOvo23hMIzvOMPOE74u+5Maas64P9pIJeOo6kj2OS78Pdu3dH/X6CJQROyF8DJJKW0qgdzwmeBdyr4v7E/7lv8h6C3xHk5T42Np5R6fYZ8cUUqTwreJa8fPny1XOS90zR4LqENEiStE/5bGJnz54ddfvXrl0bdXvar6dPn86dBEmSpNcdS5J6Ozo6OuYWmr8+/vjjQdu9efPmG9u8cOHC8fPnz6u3yWfPnTv3alukkfSX8Ps8DadPnz5++PDh8RjYFmm4evXqG/s5ZB/7Yh9JQykdd+/enex72cfSdzYdD0nalytXrry6J3GPfPbs2Rv3L+6P8TxJX9zXxriPpc8rXrdu3Wrc7qNHj15771j37iWkQZKkOfBcS5/vPAOnKm9Q1ugrL4OMVUdVt/LRHPV2SToEPr+k6TiCW5IqNE1XzSjoIRgZ9ujRo+Jo35rRYfFZRpoxKpkR44zYbko/vycN6WhlRu0xonuM0eSRP4yCm3MUNyMTm9bUHnMqvhjtGFPCMxpwjunYJakJ9/iYUYJZLZhxg/txfi9kBPOtW7e2f+f/Ke5rtc+ppmcdzyyeRU3Pq0hrzMTBfbbpvr6mNEiSNJf8OT7F7CTMeqL1sQ4rSZKWyAC3JFWaYk1m0FBOo3opANFnKmvee/ny5W1QmcB2TBHeBcGLfPpuGu7HWpubwAnBkjzovA98D+lommZ+qHRd81ivls4BBE44Bn2OgyRNjecE9yc6P9HBKr83lxD0zTsl0Qje9zmVP6/iszENeBdpmrm/13bGWkIaJEmaU95Ze4plSKaqg2lad+7cmTsJkiRJbzDALUkLRKN6XvmPkdRd3bhxY/sZguVdAha50prTsc0x5KPc2O4UjSg5ghYEcqYS+UMQnUA+3xVrevP/S5cuTfbdktQHHZcIbvO86TuLBve2fCR3dMbqi2db3DvjvtlHmnb2qWbE2RLSIEnSkjpw81wcu9PWmLNlaT/ovDdWG4AkSdKYDHBL0kLRQJ4jANxlFDUV0HhfTI3dN3hM40OpkWOskdal4MHU05QTcCCYM+UUssfHx9sXAW1GzscowKlG/EtS7f2QRms6QOVLY/TpCJV3oIrtdsWzKX0+lZaw2IUAfdpg3qcz2FLSIEnS3C5evFisk44d3LRetB6U61x+RZIkLZUBbklaqKbp27pMD5YHs6mYst5Z3xFlpZHftYGQXGmacILyU/YOJ9jMd9aMaJekQxKzdJQ6U/VR+jzPqa738vTzPBdql3G4fv36q5/pyMSrqyWkQZKkucUMVDmW8BjT48ePi7OFaVkoy7lmuuZEWZqOs3SyiKXfJElKGeCWpAUrNTBQyN8VqG76e981tEuB4KdPn27GUuoNPuVa3GzbHuiS9LN77dAlG0qfp0H0wYMHOz+bB4GHrMuZB6W7zgiyhDRIkrQUpboSz0lmBRurI3JpprCxxIxjBGbPnDmzOXXq1PbFzwTIpqxrRn2b7yG/4vuZTY30xNIwQ7ZN+tOAH9uN7yoFo2MENmmIfOB9u9LBd73zzjurWnJln/nTNtCA45wef/7P9vmevu0xTd8R+8l3sd3Yz9iP0nFLr4143z6uDfKylCf8u2lZH/aRv/OiPP3y5cvt72M7NdgmeVVKB7/fx3J5aziH58irfVw3Q+7h6b5P2YF57ufXlPmZnp9d8pFzIs0HPs927ECuomNJUpXTp08fcxtNXw8fPhz1O65evfrGd3T5Hv5e+tzdu3cHfz/7XevChQvbV1s+njt37ngK5Eme9tL+PXr06HhKHIP8O4+Ojib9TklKcZ/j3nPlypXjZ8+eDd4e9/X8vsa2d7l58+agZ1QuT0MXS0iDJElLQn2sVJfkxXPz+fPni0hXXieO+h4v0vnxxx9vf3fr1q3XPsvf+dtYqMul5Qm+i++M76dsQbko/XvfOid53nRMmspefH+enrTMlucBaWU/2o5/1xfft0/7yJ82lKfjs2wvPf84/ul2h55/XY5Pfo1GG8Q+rw3yJD/v+T7Skp9nvC/SHNcSbTVpPSW9xvq0u7E/aZsT2033P00j7xu7TW8t5/AcebXP66bPPZwX352er+m+19Shl/r8mgr5E+kmv8hH0p3mM+dXCfucn398Ls7Nps/p5LLVRZIWHODOC1ldG+ApoHWp6OySFuLSismYAe4ovKSvMQIupX0hP1MGuCWdRKX77pCKcml7vPo+R4fef3c1HCw1DZKW71//63/d+vp3/+7fVW33Bz/4Qet2f/SjH1Vt98WLF63b/cM//MOq7b58+bJ1uz/84Q+rtvvVV1+1bpe/1yA9bdtlf2rU5t/aOsK1vaLxf+q6U9dnLPW6XQ3/ed12aKe2NMAU9eS2/MiDKKSnaz2Q9/F+8r0pwJkGv6LOme7jrnoo244AS7yajn/+vvw1Rt72sY/8aZIGGduOP39L87TP8U9FsK3UwbTU7jPHtZFeF23l4fx9sU+lfEyPa5f0kQdpHpEPTfmdBuPyc+UknMNz5NW+r5s+Qf227ZOeyKs+gdYlPr+mEgOuyKdSG3R63ed5GG20pXsGxyWO1b47UWnZ3iqP65YkLdmLFy9a/86Ub8+ePdvcuHFjO4UL08CxzlnftadL00WVpk0fgulp8rWUmIZqzKldmeqHKW7IE0k66Ur3du7FTM/d9zkBpgyrSUM+1WnNd+fPp3TfHj161Lqe9hLSIGkdvv/977f+nev8137t13pv9x/8g3+w+dGPftT497/6V//q5td//dd7b/d3fud3Nj/4wQ8a//69731v81f+yl/pvd1/+A//4eb3f//3G/9+8eLFzV/7a3+t93Z/93d/d/N7v/d7jX//S3/pL22npuzrn/2zf9a6vNKv/MqvbP7W3/pbvbf75MmTqvxbC8oDt27dal3vNpb4iPfw/ONzTCk6ZLmPGjHdKXW9tuc4z2TKLPGcZkrcSHft98aUsdwDHj58uLOOTh03ph2mfso04LvSHZ8l/YHyC1PmNk3vzL6RnrQMkn4+fW+8p1RXZvt5Oe/58+eDy0tj20f+tC2BxpI9u9ovOM++/PLL7TGP9gl+5nd9puzPv4fzqWkK55jSd5/XRr4sHNtu2k4sdRTvJ63sX+n9vId0YVfZmu1cvnz5VTmftjDuaU3YV/IozpmYHrl0ThzaOTxHXs1x3ZSQh+lzjrTsWr6L9LD/sQ9Dz5O5nl9T4fhw32l7JsZxZ7+5d/Hi/eQpP5MXebtzTHUeOG6cqxJcg1uSFizWGqoJJkTBk9k6+H9NwadUmL5+/fpmTBTi8sLL2GvLsD2+Y+zgvCStUdMamrXrqb399tvF37et21j6rqGNpXk6du3PEtIgSdIS0XDcp4NWBLtp7Ge9TIIf/Husdbvb6nkPHjzoFCQurTEeAbO+0vVQqWPuCm6nqJdHQCSCWH3XFY1geUkEjk5yB7t95E+sfczx7No5n3Q9fvz41b/j+A9x79694u+5/qKT/76uDc7jdDvk8652KN6TttPwvaX7BkFXOlfQvtW2PxwX8jS2wXFuC9g2BZgjiHzo5/C+82op100+0KZLcLsUpGXfa9sv53p+TYVjG53cdj0T0325c+fOq/OC8y9vt+V4lzo5Tl2+0HoY4JakBWt6YDM6YmqlRnkKllNUlPOCGpp6Ideg4Fn6Dkk6iZp6uzcFqqcwxYiIfL/aAuxLSYMkSUtFA3WfBv880EXj+5kzZ7b1sCkaoukMzrZJZ9eRfHldlnT2TRtBkbSumgZe+o6STxvv+6ajFBAhYEK+lAJHeX14qrr9UkydPzF6kGBMnw4KvD/dLmXFttkSdiGd+b6yzRjhu89rgxkEawJwad7znfl2QpcgIAG2Lh0Amraf5gPHpW/nkzWdw3Pk1RKuG+7faVCa+3GfZ110DIj8rhlJPNfza0o8x9iXLh2+0nOb/YjPlvKSTgA53jt0BL8OhwFuSVqw0pR6pRHPUygVSm7fvj3Jd5UKk/TiGytQTwH02rVro2xPw1CRYAYCRnbwfwqyXQJAUYGhIkFDGZ/n/2yDioFBJKm7UocfKoi1U5w1zTbSFjDPr9kxKqhnz55943dtDSdLSIMkSUtGEIUOYUNmOKH8T7l9zA7MtVO0lvajbRr7psB9IEhdW35I69aUSZqCek3ychblMYIDTXV2giMcS+repJspfg/Z1PkTQZeoo/ZZRiEvi4/V9hHYz31fG7S7pGXeUuC9SZ5O7hU19fu8XYB86Ht95ufH2MdmKefwXHk193XDPuff2Xd5xHzWDbbZ93yd4/k1JZ7z5AmdJGqeiXy2qZNBqU3B6cmVcg1uVXnx//7hLN/7Z9762ub0d3++9+e++oMfbf79T/50M4ezf+HP9v7Mv335R5sf/9FPNnP4zi/93Oatr/+ZXp/50Q9/vPn5b39jsjSdVKW1QbGPkch8bz7NDoWvLtMV1aIwk34nBRzyYOh0sRRWKejbu29+sT4Y5xGBaTpRxJo7TVNCcS5S+Ofc4BjSUYFrgEIu6x/y+3jtWi9K0k/FtGFcW9xn+XdNo0ZgusCStu3ljQBjjB4vfR/f09QpbAlpkCRp6Sgn8KwngEWZvTZQTV2g7zSwbagn1HTApn6ZlgH6BCbywMiQDuCUGdI6MPlKHtd2OIz2g7b8ZdtLW7N1X8bMH7aTt9VEULZL+0X+HbG28FjHhm31mTZ/jGsj/74+7Til90a7QVekNW/DqrnXUGbn2ozjSzr4eQntSWOdw3Pl1RKum3xWAT7b51xtaqft23Y5x/NrStGppuusIH3autlmPCvZf47hWOUIHQYD3KryO//j/zHL957587+w+Zu//Z/3/tz/+v3/c3P0r/6/zRz+zv/yX/b+zP/+6b/YPP/8B5s5/Obf+/XeQfn/63/7l5tf/6+HBSG16dQjjYf5PgJ4eaGv6zQzQ1CYyQvZNIAM6ZlHoYkC8xTT0Kofjm0ci6iAUCgl0B3r7TD1fhoE4v00InHep59LC7pUCuhBG9OwvXjxwt6cUgdcP2NNS1kaobyroWFf06m1VfqXkAZJktYiDZzw7CewcP/+/V4zlURH1bHKIDXbyYMvXcsD+ahS8mJo0CtdyxvUZ1iPtQb7Qb1pCYG4JdpH/vQJck0dqNrntVEaSdp3oEI+ZTWd2fvI2wCGHGs61afXJaOOlxBQG+scXlpe7eu64b15B62+61g3dYiuGZiz72t0KvFs7NNmnF/f5F9bHtI23HekvU4OpyiXpAUq9ajEPgK1+Xo0FKCoZA8dSd2lQpN/RykP+qBwzTZPai/1paDQTWMWFZ38WKT/TkdEcOz5N59hxEjTMeT8TCslTHVlMEnaLxq4d63ptqsiPkZjY6nBgU4vS02DJElrFbN7UU88Pj7e1lMJmnSpdzEV9xiN8mPNjtL1OZ1PhzvG9+f5FR0Hxtqepsmfpum36bDdVf75phmR1nBtYOw6eN/t5W1HQzrR0IE+VdvpZKnn8Fx5Nfd1UxoI0ee7Yx/yQUe0WdV06BjDEuqZEXjucx7lHeN8dmkIA9yStDBU9kuBgX0EmWPEbFroYt2eqb+3aUqamHJoSEFrH1O6q1sFqlShSANKMd0T5yHHjYpDl16a+frqjuCW9qepI1LbbCNNa3ZPoalxbAlpkCTpUNA4zbOfQHcEvJsarCnv911vumRfddR4lucN8m2d+Ybsx5CZ05gdS/vJH87xCFLFjGNDOkuOORJzn9fGEpTajIYc6zz/hrRJLe0cnjuv5rxuYv3voSPXaW+ifZa2KtJfM7L4kK5RZm/oO2o/n/FhrOepTianKJekBaEwSIA5LaRR4Hr8+PFk63dGEJlCWRRG+c579+6NNnVcVxSK8imCSFdNb75ohCDvNK84hqXKQ14hYWQEo7A5F7oGqvPt5oVlSdMpXae7ltJYwlRqS0iDpPX4rd/6rda/f/vb367a7t/+239786d/+qeNf//FX/zFqu3+5m/+5uYnP/lJ499/4Rd+oWq7f+Nv/I3Nn/zJnzT+/ed+7ueqtvsbv/Ebm+9973uNf//mN79Ztd2//Jf/8ubSpUuNf//6179etd22ber16czzDtQ1664uIUBQCto0TVXbVz7l7pBg2iEFTaYwZv6wrSEje6ecKn2O84CRsGMGgvvsQ6lTyJj3ln12jJ362M6dV3NdN6W1s4e0sfLZIZ8/pHs1g6L6HBfaafNj4QhuDWGAW5IWgAp+GmAOBPnGXmeEnnEU7ih45oWKuQLb6fdTsEnzgbwhnX0LsjFFnmuQzYtzjVdTsDof2Uhwm4rCkPO+zzqAOnycY3HfWzLuVcxGsKa1pbjW8nylsr6rc8o+G4maAtlLSIOk9fjud787yXb/3J/7c5Nsd6zAW+7MmTOTbPc73/nOJNulg0BtJ4E2tR0ETiLqlUwhWxohSHlhSLnn7Nmzm30pLRU2VoAir69G/alm+4cUNJnCUvKnFGwb0z6vjaa87Vsnz+sUfToSlTq4DznW+TN0SWX5oefwmvNqyHVT6nwx5/1gjmt0Kn3bXPNjQfuf7bYawgC3JI0opqjZhYb1KJyVgi4xknmKAldpreuoRPOihz3viTWT9439zgs8TIG7a0RgafohgvWaFx0U2npklipYQ6blk7oEYZdo6JIMcyhNLzrn9buEivES0iBJ0pJQ96R8kI/kXlO5p1SWHOuZX+qQUhvgthyynPyhDkJdl/Yhfi4NMDgktB+lSxf1rX/ledNn0EUpXw91uv6h5/DS82qq66a0VvchBZnX5MmTJ6/929HbGsoAtySNqG8lncJprPvCQ51RhlM/3NtG1lGAjAAzFRRevL9vcHmIGHWdFmLpONAnDRFUnWskun7m/v37jT0ySz1wOc59G3PWELzUfLgP0Ki69PMkngNrQQNWPjKDfJ5qOQ1JkjQ96oFTlEcoj+UzdQ0Zqbxv+y5H1gZ0ppq9YQwc+zHWWWWN91pT5w/7SHk4DfSCc5+2lRhsQDro8LGmTh67xL7l0+13uZ/k+cD9os99oXR9dhl40tWS7lFDz+El5tU+rpvSPdUOQfPIj5/rb2soA9ySNKJ9B4PHRsGRwi3TRMda2Pw/Rqbvq2DPyHHSkK+n3TVwQnrnGH2uN3Hcmq6JPDhGBaPruttt21lSBVTLYGeXcdFAQGNDimt37nxewqiYJaRBkqQaBBd4vh8dHU3S8F+aqWstAe59P9+XtOavdosBAmnwMIJzTeXjQwyuEaR89913X2uX6RLgztsAatoEcmvqODy3ufJqn9eN99RlKA1y8VrVUAa4VeU3/96vz/K9f+atr1V97r/6rf9s8+9/8qebtfgvrv7q5tJff2eW7/7OL/1c78/8p9/7DydJi+ZDQPLFixevgswUQpi2iCD3PgofFGjTAHdUjrqs0RbT/K5pHdtDFRWV69evF/+e9xRm/eEa+XYcQSpNK59itG/nriWMLlpCGiRJWiICAVME36hH5iM8lz7DjrSr7SEfUUpdlKXSTmKdlH2mThBtOcyst2ugAu9J869mYEU+AyD49yF2IhhqCXk1x3Vj3W8ZSutvS0MZ4FaVs3/hz27W5PR3f36zJr/49rc2a/Lz3/7G3EnQBAhY0Is/LfwydQxr10zdy57tU9BJR+aSli5B6zt37hTXGdf+cQzappDL19+unZpoaVMc0VBHz3VGv0iHJh99tfaZSyRJ0mZvo6qpp6VB7bXMfJIH5scMCpVGFh5iXZZ9OqRZ1jgfqHem50UsjXSSkSfpYIXLly9v86Q0UCJmjQi1Ayo4t/JZ3abqqLN2c+fVXNdNaf/W8vw5JPngFEdvawwGuCVJjW7fvv1qqvI8yD21WAM8rwDtqhTznjGmtNK0qEzkFauawi3byRub5i4kl6Zdkg4B99e0wWrM4PZU10yfxpolpEGSpLlRRp+qPJ0HbtcSyC09y8cKCpXKH2sfbUhnX45tGrTi34cyyxrHjH1Mjx3tFIeyf0PQhkNeMEKXtiTuJ7Qh0bmF+wozA9KexMjtqMfze/Ku9n5QCtpaH19eXs153XDe5fbRrqllD07RYaib71mSdCKUgslUQvLpw/f13bsKvhSWKCwfUs/wQ5WP3qaiVdNAlBeQ2cbcDWVOtahDRENI2umI+3FtcHuqgG+fEVBLSIMkSUv05MmTvQUZ1tIJrBTwHysoVCo7OG3rshG8TY8/57HB7Z/WzakLE9jmmnn27Nn2RfsM+UU7EvUJOs2SZ9Ql+HvNtOS7gmTWyZeXV3NeN6V7uOfI+tbf7vrc5R5DeePMmTPbcz7v1BHp4X7E+06dOrXtfMHntD4GuCVJjShwlhodmAZ8H/JANYWStkIohWOD2+sw1rrZY63jPSYq6dIh4b7L9IKB0ThD7rX7DPiePXt2sWmQJGmJGFk5lbxx+uLFi5u1BoXyDru1ljYblXYHcfNO1qwd3FeXQE0Ei9cyGjmClWk5m3o+v2e0LMuX8WIpL+rMzAY1RmeO0jUzZUedNZsrr+a+bkoDKsa6h6ub/Pj3rY8TjE7bJHbN6sl9h/sMx5ngdVq24T38jnOCNkXuSTGDaT6TqJbPALckqVWp0EFBMS+cTKFUsGjq4UmaKLBYGDlZUxM9ePBglO2MKU+TtGb5VHJUAFknbai8gaE0emmMBo+2kWFLSIMkSUs01SimNJBSO4PTUoJCY3RqLY1oY5Tj2q0lIFuj1B5RUzbuUu6kgz+jnscoo+4D6Z3jmuZekrdbjdVexTV6SKM658qrJVw3+WCI0nJ3NaItUtOuv007265OcRwLgtR0yGf7nOtx3G/cuLH9P+cGAfDoZMN7OFeiUwTn8CE/ww6RAW5JUqumXnV54WQK9ObNv7+pwExhh/c6ndvJWX+bbeQFzzECb0OU0iQdQnCbxioqgWONKsrXlhzjunnx4sUbv2urBC8hDZIkLRGNvlNIAylzl9v7ypdmGSMolNeJKG8taUay2rXACRasfR3xqUYhhkOsM3Lc2a859i2/Z5WmJK5xiCM658irJVw3pC83RmCaGS5L21b7OUA7Q1ccJ479rg5gtBdT907bhaPTDZ/n/OR45csiMFAm7eywlk5F+ikD3JJ0YOKhzVojvPh5SCGwqeC5r/Vq8gJyU+9ICumHVvE4VPlUULXrZt+/f39x0/nta/p+aR+YAox7fQS3x+xANEVnpNKzru3esoQ0SJK0RDz/GeU0duN2+pxkOtA1ydNLHg0NDOWjGpeWJ6XRuF3aFnhPvt76ocj3v7acd4jr/0anhjlmNKPDTNfBEV1F29PaOuMsMa+WcN3wnXn6xlgDnLxbQlvUHGKta9awbmuPzZ//fTuB085G3X1XPtNGWGpDTtPL6O78/EvPq9r2Sc3nrRm/W5I0AXq0pT3jeIDzsK4dcd20dui+euXSgz3vDUkhNC2YxtrcS+rtrummJgp5R4e5OziQHqemWibuiaUpIJckZqBYSmWKXszcW0kPwe2xpxu8dOnSG9dLjBSvlfe03jX16RLSIEnSUlEH69KgXDNqkHrb2p6PpJd9SOum1EtrAyT5sl+UGfJR4kvZ77QMTWfltk6C8d6llGmXqFRnbBsxuJbR8BzzWP+YaYH3fY1zLaZLlpGOIW1E0Xl9aR1PTmpejXHdcA9Pt8P5OqQTQ4wsPokjuOkEl+43bc+0R5fKDASVc13vD+Qx7RK72rSj01l+LNMBNvytlD6evewPz7aateE1s2NJUpXTp08fcxtNX3fv3p01TUdHR2+kKV7Pnz+v2uatW7eK27t69WrvbV24cGH76ovvyr+ffQ03b96sSk9pu48ePTqeEudI276cBJwD6f5//PHHvbfx7Nmz0fKRz3Fcrly5sr2u43Xu3LntuRXXDn9vusZLx3UMnI+kgbTEdiNdu87Vhw8fvro2SDv5HvetFPnP3+M7eA//rjkuY+Tl2MiHpvvi0l7k0xLEvZH01FxXkedtz53SNczvxry3cJ61WUIaJElaCsp+pfIJz/Uxt03ZsKZ8kZaHeVFPHeNZ3Xc7eR2ytuyQb6dvfb1U95+iXpmnkzL90HLgPkyVP/l5WFPv4xzM87VUZozrZi3XRtp2RJo4F/bd1pHXy2vrnJy/fL6mnWksU1/j+8yrJV03eftA7TMJfLbLObKUa3TqNvFSG1Kcx3nauzw7+Wy0T+3C+Vtqbx7ynNU6GOCWpAMKcJca64dWvKnAlrZXU5CqDXATyGvL69rAtAHueYxxbuYdL9oKvLy36byLyg2f59inx4KfKaBHgDY/7/l7BHKbrrvSq0sFiIJ3VAD4fzQO8Ht+jvTw/U3nT+n8TiuT7G/sG/vJvzkWnKOxT/y/a6PmkLycEnlWqlAv7UXe7Gow3Ie453Pe1d6b4vrcpUuFuI/8WuyyvSWkQZKkJQa4038PKaPkdbnaemlNmbrLs7q243ZahutbZsrrhDWdCEp1/ynqsnkwaFeHzOhYO7ep8qdUn++z3agTIa8L5KKj81qujbYBF211IPYxgpfk79DjlNeD+26P/SBNQwKfY9jHNb6vvFradZO3J9VcM9zr+GyXc2Qp1+hYmq71Ul5wPOL8SNPf5bkX7W1d8phjmte90/JH6VzRYTDALUkHFOCOnpOlV60otI1RsK4NcJfyOwqsFIpqCyoGuJdRSRvjfGgrHDcFDiMtuwKtaUE8fy/HM155JSn9W/radY6lhfC2xsRoWNs1ypa/5ed6NFg2Bd8ieB/v35VHY+Sl5hf3pyHBbcSMALvk5+WQc6J2hMMS0iBJ0hKUAtrUL9OOj5QV+jzb8rpPTV2LNDR1uu4zQpT3NW2Hfe/7zE7Lyn3KTmPkCWXvfDRc1AumqM/m39X0HdEeMcao/yGmzp+882zXAEzU8yINeTk0zbcoV7aVTZd4bZTaO2pe5Cn7XluWzven6zkZnaP5/qEzOw2xz2t8X3m1lOtmjCB33P93HYslXqNjydNRyos4dnGM0vvDrlHZcZyHXIfp9805G4OmZYBbkg4owI2mAs+Y+1kbUB4S4C5NlR6F/tqAhAHu/cv3v2b63j5B8nhvqZIWFaw+Ixd2NTB0SVPXfduVN2kwbdd7S51fupzraSW0bd/HzkvN16g9xoibrlO15dfykO/ORxd1rcAuIQ2SJC0twJ3PxFMKBPD+UsMz5U7K/PkSO30aqdOldfoExPL6eM1sSxFY6yLNFz7XVu9m/9OgeJ88iY4GNfvSZ0amXd+fbjdPe7xnjiV39p0/MWq1T+AxzpU8GJfnK+cQ74lrYI3XRtMyd7Wv2vasvO0hXTKr7f1zBLfnvsb3kVdzXjdNYsBM1/TwPRHUb3rfGq7RMUTAvWnARcwYWNqvSG/pvE1nMxzaPpt+lzOrHa635l4DXJI0rqtXr24+/fTTzZUrVzbvvffe9t/nzp2r2tYXX3yx+eqrr974/c2bN6vTV9peFx988MHmo48+eu13N27c2Hz++eebhw8fVqfnUJHPn3322eb06dPbc2EpHj169Nq/OUf7+vjjj1/7N+d4k/v372/zIH8P5w3n94ULFzp9Z9t3jOny5cuvfr57927re9kvrsVPPvlke6x5NR3rt99++7V/s+0u5wV5HceI64+f888tNS/VHecO91iObX6N1j43ujx3OGd4cQ4h/l8jTzf708US0iBJ0pJQTqScGfiZ3/Fc4/8PHjzY1jd5dd3erVu3eqWBsgSvNB1dPvPixYvXfvfy5cuq7XSts0a+fPjhh9v84GdeUQc/e/bs5vnz59uyFmWkND/71qljP/rsS3yOfBiCfXn27Nnm/fff35aV2Oa77777aj/5N3USfh5alqy1z/zhOziu1I+oL3FseUVdibLl+fPnt9t+8uTJ9tzgd+RNWpdiO48fP97WAeO8i/Ij7yfP13RtkAec25wL4HzgVfqOdDuRf03IE97f9z7C+7nOaDfiGJAuXuQtxyGuT76baxS8P29v2Jc5r/F95NWc100T7mFsm3s4+xvp4TuuXbu2TQ/XDve9p0+fbr+L9/MdTcdpydfomDiGpJHj9M4772zPh0uXLm1/xzHj96XnP3/jWcLf+T/HINqcaNvl/OI4cq7UtmWHOFexpHZRjWzuCLskrdVSR3DHaLQxRuGVet4OWbckepeOOV36kP1cygjutp6xY6xzR56P/R218n2v6RmdT9W1a3ryUg/WGKHS53zk/JtyBHd6bnQ9r9MRo22jRfOpk/ucD/nom33kpfb/zBhrtHH05O67dvvQntVDngtLSIMkSXOjDtF19C3lB8pysd5yOo15rKU79zTV+0Z5mzJELNUSeRLrC5Nfc055POZ5wvFNjzv7uIS2kLmk10PUneJaoGy861rg3OE9vLfL+5c+AwT7XdP+wGciH0qjU4e0abRdn/yu7/ILh2xfebXE64ZtlO5v0X6xlHa1JT4T0mPIv3c97/h7+jn+z7/HapNNZ2pz/e3Ddor/jB00l6ST4NSpU2/8jp5pu0Zd7gO9F+l9OKT3Kb3+zpw588bv6VFXMwKTHo/08ga9HbuO9kxFD78x0gN6CaY9+pD3Dh0bPUPzkehj9ExMcdzyXpv0+jw6OtrMKT0HQk0xhF60aQ9v9qvUq5VrgGuh9Pf4G7peJ7yf727qOU6a+HvtvqXHreu9JL1O245xfj035VlJmlela26KvNR+cM5yTUZP9FrRuzy9Lvvc50lDjJzmXsg9sQ/uqdxbh9xTl5AGSZIkaW3SNo4xZoQKMcoz9B2dK+nkSuvnY96XtEBzR9glaY3y0ZBdRlDuW4xyJU01vStLo6WH9MpOR90OGdmWp2mIfP2ffYzCL+XrmD20S2stT/E9Y4xerz0P8jwsiXWZmkYJl9bdHWNtutpzM09Pn7Sks0l0vWf1uSfkn83vc1PkpaaXr1029mvIuo597sP5+Vl7D19CGiRJkqQ1mXqUZD6a2xG0kvq2G1o/P2xfmzvALklrwwivfBRxiLVq9rXmSZsYPRfrocQ6SF2wf/nI5pq10xjNR685Ro6m65ryM7/jb21rLZWka5XVrgXOd9KTr/Tdd+7c2ebZ2MeQfWbUap6vYJ2jWO9nqHyt5Xw96jmxjlKqdsRoOiq0aYQkeYqmUdBsIx2FHNc1MzMwsp/zY8havH3l50WfkZ/pMR/jHMrlI73ztC4tL7VbrJs41bOq78hl3s86aiHWsdyF9Ofr1tfOCrCENEiSJElrEvVu3L59e/Tt57ODdSmfSxJrpgfX3z5wc0fYJWnpvVFj3ejaUWx8lp5jc0nX0SYt9IBtWtOEUZf5qGY+02cNlKbR7V1eXUaVpj2Eu65hNuQYxme7rhfM++IzQ8+bePVdq600SjxG1s4pz4/atXXykac5Rhh3XXe8NIo/f7G9LtsaMoK7aZ2xvq+mc2XICO5SPk2dl5oWx2GM863pVfvM4/xNz6O2ntZ93ru2NEiSJElLl9cxp6rnpbMBUm+WpKna5rQ+b80dYJekpWN0FiMYu65XW/o865POhdFkjBzm/4wSjhfYpxj9mY/85G/0wK0didY3v7qOJExHi/ZZxzuOYw0+22ekY/pdtd8Z26nB2jIc8wcPHmz/fe3ate16x7XrsU+BfKntRcln792792omBf5//fr17TnMPnK9MRKzyyhSZjqg13lbT3D+xott184asEt+j1ja+r2kJb1H8HOevqXkpXabepaRPvfm/HOc+4ye5jnF/5lVg3sYI87B35lFIGYF4HnA822s62UJaZAkSZKWLq/Dts0mN8TFixdflbvnbFuTtA7prIO1bRNaj1NEuedOhCRpf0ENHvQEQJmuhSBVBDpomI+gI9MKO4XLYYlAzdHR0exp4Fx7+PDh4GBQTDVPZZefKbhy3jZNS75rWwReuTZK08gH0p1Ox51vg44EoU8Riw4J6TICYwe4uc5ZFiBwHvTpfME9Ic2XtvSNkZcSOI9YWoFzKp5XnLece1zrdGyZusK6hDRIkiRJS5PXMWOZvLGldVGXA5K0C4NgYuAF94uaNkKthwFuSZJOgFhPlsCkdiOQRSWakcb5+tFNRachAW6OD2vST9U4MDTAzcjVNB/67FtNXkqSJEmSli2tJ04RSNpXEF3S4eCeEYO5GHjhAK7D9rW5EyBJkqY3ZIr2Q0QlvG0qbUZnMoU2FWgKxKl0pHVtD/R8G5cuXXrt3/mSAXNL05OfR3PmpSRJkiRpHmlAmw7bY9djWQIrEKQyuC2pzxKTBrcPnwFuSZJOACqarF2ln2JEcVpZbkOBmOBsSH8eS17ofvLkyWapFQTWIl5yXkqSJEmSpkf9Lp0ynBHdYwW5YxY6xDJnktSG5TiDHWJOBgPckiSdAAQhqWzqZwjadq18x/reePny5aDvLX2eUdFpkDufyruLMRsTUg8ePHhjPaOl5KUkSZIkad5R3DGSm3ohy3YNmamLeiWznsUSXtQfmQnMGekk7UJbEx1i7BRzchjgliTpwEWvZ6fmeVPb1Nq56P1JQbnk7bff7rQdKv2lbaTTu9EhoU+wmvcTFG9KW65PYJm1swPnUNN5NGZeSpIkSZLWgVHc6frYH3zwwatAdzob2K46LZ2p+Rw/p9u13iipq+fPn29f3jdOBgPckiQduPv3728rmhbu3nTnzp3O742Ac75edtva1E3bKQXDOUasVV0KeO/Ce9PP7tI1GM370v1Ig91T5qUkSZIkaT2ozxKMZrQ1naKp8xHoPnPmzDZozc+MyibozYufmYac0dq8h/9T/6Tdgvrt0dFRrzqxJOnkOXV8fHw8dyIkSdI0qFRSmSQw2ScAeuiiMh29wrtUnKl0E5imJ2gTepxH8LiU59Erncp621TjEVSOxoFd+0Jw+csvv2ycto1e86Q/8L7Hjx+3rknEZ955551XPe6Z3unq1at7y0tJkiRJ0npRN37y5Mm2fkvbBDOJRf2SOil1Qv5/8eLFbT04pheWJKmLtzq9S5IkrRKBRyqIBrebEaClE0BbHhGUpiK+aw2f27dvvwpwk/f5NruMtKbXO73XCYbz/6bAcqSd7+EzfdYkI52XL19unO6NfeXvu4LbU+alJEmSJGm9qEN2qUdKklTDKcolSTpQBEgJtjqtVzMq24ySJkgco6/pWU4All7mTJ1GwJbfE5DdNZqaEdExjTfbiEB1jNymx3qX40Ga4n18LqZrI028IpDMd6VrnXVFAPrevXvbXvLse0wZzv/ZNiO3+Z6YZq5Lo8TYeSlJkiRJkiRJJU5RLknSASKwSPCSqb4IOup1BFkJDkfeEIQlAMvvItjLiGhGN1+/fn0bEO4zQpptsK0I8vLZa9euta5hXUK6Hjx4sA0IP336dPvvmMKNNcy69obPpyhninS2w++Z3pwAPEHomCaO4DNB6i5B6KnzUpIkSZIkSZJSBrglSTpABLcJNPadulqHqSnALUmSJEmSJElr4xTlkiQdGEbiEtBkRK1BTEmSJEmSJEnSIXEEtyRJ0oFzBLckSZIkSZKkQ+EIbkmSJEmSJEmSJEnSKhjgliRJOmFevnw5dxIkSZIkSZIkqYoBbkmSpAP3xRdfvDFluSRJkiRJkiStkWtwS5IkHaDPPvts8/nnn29evHix+fTTT18Lcp87d25z9erVzdmzZ1/9LEmSJEmSJElrYIBbkiTpAL333nvbIDdOnz79xt9jFPeVK1c2jx492nv6JEmSJEmSJKmGAW5JkiRJkiRJkiRJ0iq4BrckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkaRUMcEuSJEmSJEmSJEmSVsEAtyRJkiRJkiRJkiRpFQxwS5IkSZIkSZIkSZJWwQC3JEmSJEmSJEmSJGkVDHBLkiRJkiRJkiRJklbBALckSZIkSZIkSZIkabMG/z/I6wVpD9elpgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Pk_ref = Pk_PMref\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 4))\n", + "\n", + "ax.set_xscale(\"log\")\n", + "k = G.k_modes[1:]\n", + "kmin, kmax = k.min(), k.max()\n", + "print(f\"kmin = {kmin}, kmax = {kmax}\")\n", + "log_pad = 0.02\n", + "log_k_min = np.log10(kmin)\n", + "log_k_max = np.log10(kmax)\n", + "log_range = log_k_max - log_k_min\n", + "xlim_min = 10 ** (log_k_min - log_pad * log_range)\n", + "xlim_max = 10 ** (log_k_max + log_pad * log_range)\n", + "\n", + "plt.xlim(xlim_min, xlim_max)\n", + "# ax.set_ylim([0.2, 1.8])\n", + "dark_grey_bnd = 0.05\n", + "light_grey_bnd = 0.1\n", + "\n", + "label_ref = f\"Ref (PM, $n_\\\\mathrm{{steps}}={nsteps_pmref}$)\"\n", + "\n", + "ax.plot([kmin, kmax], [1, 1], color=\"black\", linestyle=\"-\", label=label_ref)\n", + "# ax.plot(k, Pk_LPT / Pk_ref, label=\"2LPT\", linestyle=\"--\")\n", + "fields_to_plot = [\n", + " (\"PM1\", Pk_PM1),\n", + " (\"PM2\", Pk_PM2),\n", + " (\"COLA\", Pk_COLA),\n", + " (\"sPM\", Pk_sPM),\n", + " (\"P3M1\", Pk_P3M1),\n", + " (\"P3M2\", Pk_P3M2),\n", + " (\"P3M3\", Pk_P3M3),\n", + "]\n", + "for field_name, Pk in fields_to_plot:\n", + " label = f\"{field_name}, $n_\\\\mathrm{{steps}}={eval(f'nsteps_{field_name.lower()}')}$\"\n", + " ax.plot(k, Pk / Pk_ref, label=label, linestyle=\"--\")\n", + "\n", + "ax.axhspan(1 - dark_grey_bnd, 1 + dark_grey_bnd, color=\"grey\", alpha=0.2)\n", + "ax.axhspan(1 - light_grey_bnd, 1 + light_grey_bnd, color=\"grey\", alpha=0.1)\n", + "\n", + "for i in range(1, len(k)):\n", + " ax.axvline(k[i], color=\"black\", linestyle=\":\", linewidth=1, alpha=0.1)\n", + "ax.yaxis.set_major_locator(plt.MaxNLocator(6))\n", + "ax.yaxis.get_major_ticks()[0].label1.set_visible(False)\n", + "ax.set_xlabel(\"$k$ [$h/\\\\mathrm{Mpc}$]\", fontsize=fs)\n", + "ax.set_ylabel(\"$P(k)/P_\\\\mathrm{ref}(k)$\", fontsize=fs)\n", + "ax.tick_params(which=\"both\", direction=\"in\")\n", + "ax.tick_params(axis=\"both\", which=\"major\", labelsize=fs)\n", + "ax.tick_params(axis=\"both\", which=\"minor\", labelsize=fs)\n", + "\n", + "# Characteristic vertical reference scales\n", + "nyquist = np.pi * N / L\n", + "nyquist_PM = np.pi * Npm / L\n", + "epsilon = 0.03 * L / Np\n", + "particle_length = 2*epsilon\n", + "xs = 1.25 * L / Npm\n", + "xr = 4.5 * xs\n", + "particle_wavenumber = 2*np.pi / particle_length # Too large to be shown\n", + "xs_inv = 2*np.pi / xs\n", + "xr_inv = 2*np.pi / xr\n", + "line1 = ax.axvline(x=nyquist, color=\"black\", linestyle=\"--\", lw=1, label=\"Nyquist (density grid)\")\n", + "line1 = ax.axvline(x=nyquist_PM, color=\"black\", linestyle=\"-\", lw=1, label=\"Nyquist (PM grid)\")\n", + "line3 = ax.axvline(x=xs_inv, color=\"gray\", linestyle=\"-.\", lw=2, label=r\"Split wavenumber $x_s$\")\n", + "line4 = ax.axvline(x=xr_inv, color=\"gray\", linestyle=\":\", lw=2, label=r\"Short-range reach $x_r$\")\n", + "print(f\"Nyquist (density grid): {nyquist:.2f} h/Mpc\")\n", + "print(f\"Nyquist (PM grid): {nyquist_PM:.2f} h/Mpc\")\n", + "print(f\"Particle wavenumber: {particle_wavenumber:.2f} h/Mpc\")\n", + "print(f\"Split wavenumber: {xs_inv:.2f} h/Mpc\")\n", + "print(f\"Short-range reach: {xr_inv:.2f} h/Mpc\")\n", + "\n", + "empty_patch = mpatches.Patch(color=\"none\", label=\"\")\n", + "handles, labels = plt.gca().get_legend_handles_labels()\n", + "# handles = [empty_patch, *handles]\n", + "# labels = [\"\", *labels]\n", + "plt.legend(\n", + " handles,\n", + " labels,\n", + " loc=\"upper center\",\n", + " ncol=2,\n", + " bbox_to_anchor=(0.5, -0.2),\n", + " fontsize=fs,\n", + " frameon=False,\n", + ")\n", + "fig.savefig(\n", + " simdir + \"power_spectra.png\",\n", + " bbox_inches=\"tight\",\n", + " dpi=300,\n", + " transparent=True,\n", + ")\n", + "fig.savefig(\n", + " simdir + \"power_spectra.pdf\",\n", + " bbox_inches=\"tight\",\n", + " dpi=300,\n", + ")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "p3m", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/wip3m/__init__.py b/src/wip3m/__init__.py index a51e270..f367079 100644 --- a/src/wip3m/__init__.py +++ b/src/wip3m/__init__.py @@ -19,3 +19,5 @@ implementing the P3M algorithm in Simbelmynë. """ from .params import * +# pyright: reportUnsupportedDunderAll=false +__all__ = params.__all__ diff --git a/src/wip3m/convergence_baseline_ts_parser.py b/src/wip3m/convergence_baseline_ts_parser.py new file mode 100644 index 0000000..46d59c3 --- /dev/null +++ b/src/wip3m/convergence_baseline_ts_parser.py @@ -0,0 +1,327 @@ +#!/usr/bin/env python3 +# ---------------------------------------------------------------------- +# Copyright (C) 2025 Tristan Hoellinger +# Distributed under the GNU General Public License v3.0 (GPLv3). +# See the LICENSE file in the root directory for details. +# SPDX-License-Identifier: GPL-3.0-or-later +# ---------------------------------------------------------------------- + +__author__ = "Tristan Hoellinger" +__version__ = "0.1.0" +__date__ = "2025" +__license__ = "GPLv3" + +""" +Perform time step convergence tests towards implementing P3M gravity +""" + +# pyright: reportWildcardImportFromLibrary=false +from os.path import isfile +from pathlib import Path +import numpy as np + +from pysbmy.power import PowerSpectrum +from pysbmy.fft import FourierGrid + +from wip3m import * +from wip3m.tools import get_k_max, generate_sim_params, generate_white_noise_Field, run_simulation +from wip3m.params import params_planck_kmax_missing, cosmo_small_to_full_dict, z2a, BASELINE_SEEDPHASE +from wip3m.plot_utils import * + +from wip3m.logger import getCustomLogger, INDENT, UNINDENT + +logger = getCustomLogger(__name__) + +workdir = ROOT_PATH + "results/" +output_path = OUTPUT_PATH + +from argparse import ArgumentParser + +parser = ArgumentParser( + description="Run convergence tests towards implementing P3M gravity." +) + +parser.add_argument("--run_id", type=str, help="Simulation run identifier.") +parser.add_argument("--L", type=float, default=32.0, help="Box size in Mpc/h.") +parser.add_argument("--N", type=int, default=128, help="Density grid size per dimension.") +parser.add_argument("--Np", type=int, default=32, help="Number of particles per dimension.") +parser.add_argument("--Npm", type=int, default=64, help="PM mesh resolution per dimension.") +parser.add_argument("--n_Tiles", type=int, default=8, help="Number of tiles per dimension for short-range PP.") + +# Timestep settings per method +for scheme in ["pmref", "pm1", "pm2", "cola", "spm", "p3m1", "p3m2", "p3m3"]: + parser.add_argument(f"--nsteps_{scheme}", type=int, default={ + "pmref": 200, "pm1": 100, "pm2": 20, + "cola": 10, "spm": 200, + "p3m1": 200, "p3m2": 100, "p3m3": 20 + }[scheme], help=f"Number of timesteps for {scheme.upper()}.") + parser.add_argument(f"--tsd_{scheme}", type=int, default=0, + help=f"TimeStepDistribution ID for {scheme.upper()}.") + +args = parser.parse_args() + +if __name__ == "__main__": + try: + go_beyond_Nyquist_ss = True # for the summary statistics + force = True + force_hard = True + + run_id = args.run_id + L = args.L + N = args.N + Np = args.Np + Npm = args.Npm + n_Tiles = args.n_Tiles + nsteps_pmref = args.nsteps_pmref + nsteps_pm1 = args.nsteps_pm1 + nsteps_pm2 = args.nsteps_pm2 + nsteps_cola = args.nsteps_cola + nsteps_spm = args.nsteps_spm + nsteps_p3m1 = args.nsteps_p3m1 + nsteps_p3m2 = args.nsteps_p3m2 + nsteps_p3m3 = args.nsteps_p3m3 + tsd_pmref = args.tsd_pmref + tsd_pm1 = args.tsd_pm1 + tsd_pm2 = args.tsd_pm2 + tsd_cola = args.tsd_cola + tsd_spm = args.tsd_spm + tsd_p3m1 = args.tsd_p3m1 + tsd_p3m2 = args.tsd_p3m2 + tsd_p3m3 = args.tsd_p3m3 + logger.info("Running convergence tests...") + logger.info(f"Run ID: {run_id}") + logger.info(f"Box size: {L} Mpc/h") + logger.info(f"Density grid size: {N}^3") + logger.info(f"Particles per dimension: {Np}^3") + logger.info(f"PM grid size: {Npm}^3") + logger.info(f"Number of tiles: {n_Tiles}^3") + logger.info(f"Number of timesteps for PMREF: {nsteps_pmref}") + logger.info(f"Number of timesteps for PM1: {nsteps_pm1}") + logger.info(f"Number of timesteps for PM2: {nsteps_pm2}") + logger.info(f"Number of timesteps for COLA: {nsteps_cola}") + logger.info(f"Number of timesteps for sPM: {nsteps_spm}") + logger.info(f"Number of timesteps for P3M1: {nsteps_p3m1}") + logger.info(f"Number of timesteps for P3M2: {nsteps_p3m2}") + logger.info(f"Number of timesteps for P3M3: {nsteps_p3m3}") + INDENT() + + corner = -L / 2.0 + RedshiftLPT = 19.0 + RedshiftFCs = 0.0 + ai = z2a(RedshiftLPT) + af = z2a(RedshiftFCs) + k_max = get_k_max(L, N) # k_max in h/Mpc + print(f"k_max = {k_max}") + cosmo = params_planck_kmax_missing.copy() + cosmo["k_max"] = k_max + + wd = workdir + run_id + "/" + simdir = output_path + run_id + "/" + logdir = simdir + "logs/" + if force_hard: + import shutil + if Path(simdir).exists(): + shutil.rmtree(simdir) + if Path(wd).exists(): + shutil.rmtree(wd) + Path(wd).mkdir(parents=True, exist_ok=True) + Path(logdir).mkdir(parents=True, exist_ok=True) + + input_white_noise_file = simdir + "input_white_noise.h5" + input_seed_phase_file = simdir + "seed" + ICs_path = simdir + "initial_density.h5" + simpath = simdir + + # Path to the input matter power spectrum (generated later) + input_power_file = simdir + "input_power.h5" + + sim_params = { + "L": L, + "N": N, + "Np": Np, + "Npm": Npm, + "n_Tiles": n_Tiles, + "RedshiftLPT": RedshiftLPT, + "RedshiftFCs": RedshiftFCs, + } + with open(wd + "sim_params.txt", "w") as f: + f.write(f"{sim_params}\n") + + logger.info("Setting up simulation parameters...") + + common_params = { + "Np": Np, + "N": N, + "L": L, + "corner0": corner, + "corner1": corner, + "corner2": corner, + "h": cosmo["h"], + "Omega_m": cosmo["Omega_m"], + "Omega_b": cosmo["Omega_b"], + "n_s": cosmo["n_s"], + "sigma8": cosmo["sigma8"], + } + + lpt_params = common_params.copy() + lpt_params["method"] = "lpt" + lpt_params["InputPowerSpectrum"] = input_power_file + lpt_params["ICsMode"] = 1 + lpt_params["InputWhiteNoise"] = input_white_noise_file + + common_params_num = common_params.copy() + common_params_num["ai"] = ai + common_params_num["af"] = af + common_params_num["RedshiftLPT"] = RedshiftLPT + common_params_num["RedshiftFCs"] = RedshiftFCs + common_params_num["Npm"] = Npm + common_params_num["RunForceDiagnostic"] = False + common_params_num["nBinsForceDiagnostic"] = 20 + common_params_num["nPairsForceDiagnostic"] = 3 + common_params_num["maxTrialsForceDiagnostic"] = int(1e8) + common_params_num["OutputForceDiagnostic"] = simdir + "force_diagnostic.txt" + + pmref_params = common_params_num.copy() + pmref_params["method"] = "pm" + pmref_params["TimeStepDistribution"] = tsd_pmref + pmref_params["nsteps"] = nsteps_pmref + + pm1_params = common_params_num.copy() + pm1_params["method"] = "pm" + pm1_params["TimeStepDistribution"] = tsd_pm1 + pm1_params["nsteps"] = nsteps_pm1 + + pm2_params = common_params_num.copy() + pm2_params["method"] = "pm" + pm2_params["TimeStepDistribution"] = tsd_pm2 + pm2_params["nsteps"] = nsteps_pm2 + + cola_params = common_params_num.copy() + cola_params["method"] = "cola" + cola_params["TimeStepDistribution"] = tsd_cola + cola_params["nsteps"] = nsteps_cola + + spm_params = common_params_num.copy() + spm_params["method"] = "spm" + spm_params["EvolutionMode"] = 5 + spm_params["TimeStepDistribution"] = tsd_spm + spm_params["nsteps"] = nsteps_spm + spm_params["n_Tiles"] = n_Tiles + + p3m1_params = common_params_num.copy() + p3m1_params["method"] = "p3m" + p3m1_params["EvolutionMode"] = 4 + p3m1_params["TimeStepDistribution"] = tsd_p3m1 + p3m1_params["nsteps"] = nsteps_p3m1 + p3m1_params["n_Tiles"] = n_Tiles + + p3m2_params = common_params_num.copy() + p3m2_params["method"] = "p3m" + p3m2_params["EvolutionMode"] = 4 + p3m2_params["TimeStepDistribution"] = tsd_p3m2 + p3m2_params["nsteps"] = nsteps_p3m2 + p3m2_params["n_Tiles"] = n_Tiles + + p3m3_params = common_params_num.copy() + p3m3_params["method"] = "p3m" + p3m3_params["EvolutionMode"] = 4 + p3m3_params["TimeStepDistribution"] = tsd_p3m3 + p3m3_params["nsteps"] = nsteps_p3m3 + p3m3_params["n_Tiles"] = n_Tiles + + logger.info("Setting up simulation parameters done.") + + logger.info("Generating simulation parameters...") + INDENT() + reset_plotting() # Default style for Simbelmynë + generate_sim_params(lpt_params, ICs_path, wd, simdir, None, force) + + all_sim_params = [ + ("pmref", pmref_params), + ("pm1", pm1_params), + ("pm2", pm2_params), + ("cola", cola_params), + ("spm", spm_params), + ("p3m1", p3m1_params), + ("p3m2", p3m2_params), + ("p3m3", p3m3_params), + ] + for name, params in all_sim_params: + logger.info(f"Generating parameters for {name.upper()} with nsteps = {params['nsteps']}...") + file_ext = f"{name}_nsteps{params['nsteps']}" + generate_sim_params(params, ICs_path, wd, simdir, file_ext, force) + logger.info(f"Generating parameters for {name.upper()} done.") + + UNINDENT() + logger.info("Generating simulation parameters done.") + + setup_plotting() # Reset plotting style for this project + + logger.info("Generating white noise field...") + generate_white_noise_Field( + L=L, + size=N, + corner=corner, + seedphase=BASELINE_SEEDPHASE, + fname_whitenoise=input_white_noise_file, + seedname_whitenoise=input_seed_phase_file, + force_phase=force, + ) + logger.info("Generating white noise field done.") + + # If cosmo["WhichSpectrum"] == "class", then classy is required. + if not isfile(input_power_file) or force: + logger.info("Generating input power spectrum...") + Pk = PowerSpectrum(L, L, L, N, N, N, cosmo_small_to_full_dict(cosmo)) + Pk.write(input_power_file) + logger.info("Generating input power spectrum done.") + + logger.info("Generating Fourier grid...") + # k grid used to compute the final overdensity power spectrum + Pinit = 100 + trim_threshold = 100 # Merge bins until this minimum number of modes per bin is reached + log_kmin = np.log10(2 * np.pi / (np.sqrt(3) * L)) # Minimum non-zero k in h/Mpc + if go_beyond_Nyquist_ss: + k_max_ss = get_k_max(L, N) + else: + k_max_ss = get_k_max(L, N) / np.sqrt(3) # 1D Nyquist frequency + Pbins_left_bnds = np.logspace(log_kmin, np.log10(k_max_ss), Pinit + 1, dtype=np.float32) + Pbins_left_bnds = Pbins_left_bnds[:-1] + input_ss_file = simdir + "input_ss_k_grid.h5" + Gk = FourierGrid( + L, + L, + L, + N, + N, + N, + k_modes=Pbins_left_bnds, + kmax=k_max_ss, + trim_bins=True, + trim_threshold=trim_threshold, + ) + Gk.write(input_ss_file) + logger.info("Generating Fourier grid done.") + + logger.info("Running simulations...") + INDENT() + logger.info("Running LPT simulation...") + run_simulation("lpt", lpt_params, wd, logdir) + logger.info("Running LPT simulation done.") + + for name, parameters in all_sim_params: + logger.info(f"Running {name.upper()} simulation...") + run_simulation(name, parameters, wd, logdir) + logger.info(f"Running {name.upper()} simulation done.") + UNINDENT() + logger.info("All simulations done.") + + except OSError as e: + logger.error("Directory or file access error: %s", str(e)) + raise + except Exception as e: + logger.critical("An unexpected error occurred: %s", str(e)) + raise RuntimeError("Failed.") from e + finally: + UNINDENT() + logger.info("Running convergence tests done.") \ No newline at end of file diff --git a/src/wip3m/params.py b/src/wip3m/params.py index 8016571..2cfaeb4 100644 --- a/src/wip3m/params.py +++ b/src/wip3m/params.py @@ -15,15 +15,16 @@ __license__ = "GPLv3" import os from pathlib import Path +from typing import cast import numpy as np WHICH_SPECTRUM = "eh" # available options are "eh" and "class" -# Load global paths from environment variables -ROOT_PATH = os.getenv("WIP3M_ROOT_PATH") +ROOT_PATH = cast(str, os.getenv("WIP3M_ROOT_PATH")) if ROOT_PATH is None: raise EnvironmentError("Please set the 'WIP3M_ROOT_PATH' environment variable.") -OUTPUT_PATH = os.getenv("WIP3M_OUTPUT_PATH") + +OUTPUT_PATH = cast(str, os.getenv("WIP3M_OUTPUT_PATH")) if OUTPUT_PATH is None: raise EnvironmentError("Please set the 'WIP3M_OUTPUT_PATH' environment variable.") @@ -107,3 +108,6 @@ def cosmo_small_to_full_dict(cosmo_min): "WhichSpectrum": cosmo_min["WhichSpectrum"], } return cosmo_full + +# pyright: reportUnsupportedDunderAll=false +__all__ = [k for k in globals() if not k.startswith("_")] diff --git a/src/wip3m/plot_params.py b/src/wip3m/plot_params.py deleted file mode 100644 index 79df159..0000000 --- a/src/wip3m/plot_params.py +++ /dev/null @@ -1,80 +0,0 @@ -#!/usr/bin/env python3 -# ---------------------------------------------------------------------- -# Copyright (C) 2025 Tristan Hoellinger -# Distributed under the GNU General Public License v3.0 (GPLv3). -# See the LICENSE file in the root directory for details. -# SPDX-License-Identifier: GPL-3.0-or-later -# ---------------------------------------------------------------------- - -__author__ = "Tristan Hoellinger" -__version__ = "0.1.0" -__date__ = "2025" -__license__ = "GPLv3" - -""" -Plotting parameters and custom colormaps for the WIP-P3M package. - -This module provides custom Matplotlib settings, formatter classes, and -colormaps used for visualising results in the SelfiSys project. -""" - - -# Global font sizes -GLOBAL_FS = 18 -GLOBAL_FS_LARGE = 20 -GLOBAL_FS_XLARGE = 22 -GLOBAL_FS_SMALL = 16 -GLOBAL_FS_TINY = 14 -COLOUR_LIST = ["C{}".format(i) for i in range(10)] - - -def reset_plotting(): - import matplotlib as mpl - - mpl.rcParams.update(mpl.rcParamsDefault) - - -def setup_plotting(): - """ - Configure Matplotlib plotting settings for consistent appearance. - """ - import matplotlib.pyplot as plt - import importlib.resources - - with importlib.resources.open_text("wip3m", "preamble.tex") as f: - preamble = f.read() - - # Dictionary with rcParams settings - rcparams = { - "font.family": "serif", - "font.size": GLOBAL_FS, # Base font size - "axes.titlesize": GLOBAL_FS_XLARGE, - "axes.labelsize": GLOBAL_FS_LARGE, - "axes.linewidth": 1.0, - "xtick.labelsize": GLOBAL_FS_SMALL, - "ytick.labelsize": GLOBAL_FS_SMALL, - "xtick.major.width": 1.2, - "ytick.major.width": 1.2, - "xtick.minor.width": 1.0, - "ytick.minor.width": 1.0, - "xtick.direction": "in", - "ytick.direction": "in", - "xtick.major.pad": 5, - "xtick.minor.pad": 5, - "ytick.major.pad": 5, - "ytick.minor.pad": 5, - "legend.fontsize": GLOBAL_FS_SMALL, - "legend.title_fontsize": GLOBAL_FS_LARGE, - "figure.titlesize": GLOBAL_FS_XLARGE, - "figure.dpi": 300, - "grid.color": "gray", - "grid.linestyle": "dotted", - "grid.linewidth": 0.6, - "lines.linewidth": 2, - "lines.markersize": 8, - "text.usetex": True, - "text.latex.preamble": preamble, - } - - # Update rcParams - plt.rcParams.update(rcparams) diff --git a/src/wip3m/plot_params.py b/src/wip3m/plot_params.py new file mode 120000 index 0000000..356aa71 --- /dev/null +++ b/src/wip3m/plot_params.py @@ -0,0 +1 @@ +/Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/PUBLIC/selfisys_public/src/selfisys/utils/plot_params.py \ No newline at end of file diff --git a/src/wip3m/plot_utils.py b/src/wip3m/plot_utils.py index a52cf9f..8a4a314 100644 --- a/src/wip3m/plot_utils.py +++ b/src/wip3m/plot_utils.py @@ -19,8 +19,9 @@ import matplotlib.patches as mpatches from matplotlib.colors import TwoSlopeNorm from mpl_toolkits.axes_grid1 import make_axes_locatable import cmocean.cm as cm +import plotly.graph_objects as go -from wip3m.plot_params import * +from wip3m.plot_params import * # type: ignore # Configure global plotting settings setup_plotting() @@ -28,9 +29,26 @@ setup_plotting() fs = GLOBAL_FS_SMALL fs_titles = GLOBAL_FS_LARGE cols = COLOUR_LIST -cmap = cm.thermal +cmap = cm.thermal # type: ignore -def plotly_3d(field, size=128, L=None, colormap="RdYlBu", limits="max"): +def matplotlib_to_plotly(cmap, n=255): + """Convert a matplotlib colormap to a Plotly colorscale.""" + colorscale = [] + for i in range(n): + norm = i / (n - 1) + r, g, b, _ = cmap(norm) + colorscale.append([norm, f'rgb({int(r*255)}, {int(g*255)}, {int(b*255)})']) + return colorscale + +thermal_plotly = matplotlib_to_plotly(cmap) + +def plotly_3d( + field: np.ndarray, + size: int = 128, + L: float = None, # type: ignore + colormap: str | list = "RdYlBu", + limits: str = "max", +) -> go.Figure: """ Create an interactive 3D plot of volume slices using Plotly. @@ -53,9 +71,6 @@ def plotly_3d(field, size=128, L=None, colormap="RdYlBu", limits="max"): go.Figure Plotly figure object. """ - import numpy as np - import plotly.graph_objects as go - volume = field.T rows, cols = volume[0].shape @@ -172,17 +187,6 @@ def plotly_3d(field, size=128, L=None, colormap="RdYlBu", limits="max"): fig.update_layout(**layout_config) return fig -def matplotlib_to_plotly(cmap, n=255): - """Convert a matplotlib colormap to a Plotly colorscale.""" - colorscale = [] - for i in range(n): - norm = i / (n - 1) - r, g, b, _ = cmap(norm) - colorscale.append([norm, f'rgb({int(r*255)}, {int(g*255)}, {int(b*255)})']) - return colorscale - -thermal_plotly = matplotlib_to_plotly(cm.thermal) - def clear_large_plot(fig): """ Clear a figure to free up memory. @@ -334,7 +338,7 @@ def plot_force_distance_comparison(rr, ff, ll, L, Np, Npm, ss=None, a=None, titl epsilon = 0.03 * L / Np xs = 1.25 * L / Npm xr = 4.5 * xs - line1 = ax.axvline(x=nyquist, color="black", linestyle="-", lw=1, label="Nyquist") + line1 = ax.axvline(x=nyquist, color="black", linestyle="-", lw=1, label="Nyquist (PM grid)") line2 = ax.axvline(x=2*epsilon, color="gray", linestyle="--", lw=2, label=r"Particle length $2\epsilon$") line3 = ax.axvline(x=xs, color="gray", linestyle="-.", lw=2, label=r"Split scale $x_s$") line4 = ax.axvline(x=xr, color="gray", linestyle=":", lw=2, label=r"Short-range reach $x_r$") diff --git a/src/wip3m/tools.py b/src/wip3m/tools.py index fbb87eb..5df8325 100644 --- a/src/wip3m/tools.py +++ b/src/wip3m/tools.py @@ -422,3 +422,19 @@ def generate_white_noise_Field( raise RuntimeError("generate_white_noise_Field failed.") from e finally: gc.collect() + +def run_simulation(name, params, wd, logdir): + from io import BytesIO + from wip3m.low_level import stderr_redirector + from pysbmy import pySbmy + + file_ext = f"{name}_nsteps{params['nsteps']}" if params.get("nsteps") is not None else None + method = params["method"] + path = wd + file_ext + "_" if file_ext else wd + sbmy_path = joinstrs([path, "example_", method, ".sbmy"]) + log_path = joinstrs([logdir, file_ext, method, ".txt"]) + + f = BytesIO() + with stderr_redirector(f): + pySbmy(sbmy_path, log_path) + f.close() diff --git a/submit/convergence_baseline_ts.sh b/submit/convergence_baseline_ts.sh new file mode 100644 index 0000000..584a701 --- /dev/null +++ b/submit/convergence_baseline_ts.sh @@ -0,0 +1,43 @@ +#!/bin/bash +# ---------------------------------------------------------------------- +# Copyright (C) 2025 Tristan Hoellinger +# Distributed under the GNU General Public License v3.0 (GPLv3). +# See the LICENSE file in the root directory for details. +# SPDX-License-Identifier: GPL-3.0-or-later +# ---------------------------------------------------------------------- + +# Author: Tristan Hoellinger +# Version: 0.1 +# Date: 2025 +# License: GPLv3 + +eval "$(conda shell.bash hook)" +conda activate p3m + + +export OMP_NUM_THREADS=8 +python $WIP3M_ROOT_PATH"src/wip3m/convergence_baseline_ts_parser.py" \ + --run_id ts1/ \ + --L 64 \ + --N 64 \ + --Np 64 \ + --Npm 3600 \ + --n_Tiles 32 \ + --nsteps_pmref 200 \ + --nsteps_pm1 100 \ + --nsteps_pm2 20 \ + --nsteps_cola 10 \ + --nsteps_spm 200 \ + --nsteps_p3m1 200 \ + --nsteps_p3m2 100 \ + --nsteps_p3m3 20 \ + --tsd_pmref 0 \ + --tsd_pm1 0 \ + --tsd_pm2 0 \ + --tsd_cola 0 \ + --tsd_spm 0 \ + --tsd_p3m1 0 \ + --tsd_p3m2 0 \ + --tsd_p3m3 0 + +exit 0 \ No newline at end of file