reorganising all files as a pip installable package
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35
sbmy_control.egg-info/PKG-INFO
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sbmy_control.egg-info/PKG-INFO
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Metadata-Version: 2.4
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Name: sbmy_control
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Version: 0.1.0
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Summary: Simbelmyne control package
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Home-page: https://git.aquila-consortium.org/maubin/sbmy_control
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Author: Mayeul Aubin
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Author-email: mayeul.aubin@iap.fr
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License: GPL-3.0
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Classifier: Development Status :: 3 - Alpha
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Requires-Python: >=3.8
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Description-Content-Type: text/markdown
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Requires-Dist: pysbmy
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Requires-Dist: numpy
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Requires-Dist: matplotlib
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Requires-Dist: h5py
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Requires-Dist: tqdm
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Dynamic: author
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Dynamic: author-email
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Dynamic: classifier
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Dynamic: description
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Dynamic: description-content-type
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Dynamic: home-page
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Dynamic: license
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Dynamic: requires-dist
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Dynamic: requires-python
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Dynamic: summary
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This package provides control functionalities for Simbelmyne. It allows to create automatically all the required files and scripts to run a N-body simulation with Simbelmyne, using monofonIC for initial conditions. The subpackage `analysis` provides tools to analyze the results of the simulation (slices and power spectra), while the subpackage `scripts` includes tools to handle snapshots, tiles and density fields.
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sbmy_control.egg-info/SOURCES.txt
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sbmy_control.egg-info/SOURCES.txt
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setup.py
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sbmy_control/ICs.py
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sbmy_control/__init__.py
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sbmy_control/args_main.py
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sbmy_control/cosmo_params.py
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sbmy_control/low_level.py
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sbmy_control/main.py
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sbmy_control/monofonic.py
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sbmy_control/parameters_card.py
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sbmy_control/parameters_monofonic.py
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sbmy_control/progress_bar.py
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sbmy_control/scola.py
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sbmy_control/simbelmyne.py
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sbmy_control/slurm_submission.py
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sbmy_control/timestepping.py
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sbmy_control.egg-info/PKG-INFO
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sbmy_control.egg-info/SOURCES.txt
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sbmy_control.egg-info/dependency_links.txt
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sbmy_control.egg-info/entry_points.txt
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sbmy_control.egg-info/requires.txt
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sbmy_control.egg-info/top_level.txt
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sbmy_control/analysis/__init__.py
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sbmy_control/analysis/colormaps.py
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sbmy_control/analysis/power_spectrum.py
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sbmy_control/analysis/slices.py
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sbmy_control/scripts/__init__.py
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sbmy_control/scripts/convert_snapshot_to_density.py
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sbmy_control/scripts/field_to_field.py
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sbmy_control/scripts/gather_tiles.py
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sbmy_control/scripts/scola_submit.py
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sbmy_control.egg-info/dependency_links.txt
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sbmy_control.egg-info/dependency_links.txt
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sbmy_control.egg-info/entry_points.txt
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sbmy_control.egg-info/entry_points.txt
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[console_scripts]
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convert_snapshot_to_density = sbmy_control.scripts.convert_snapshot_to_density:console_main
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field_to_field = sbmy_control.scripts.field_to_field:console_main
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gather_tiles = sbmy_control.scripts.gather_tiles:console_main
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power_spectrum = sbmy_control.analysis.power_spectrum:console_main
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sbmy_control = sbmy_control.main:console_main
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scola_submit = sbmy_control.scripts.scola_submit:console_main
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slices = sbmy_control.analysis.slices:console_main
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sbmy_control.egg-info/requires.txt
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sbmy_control.egg-info/requires.txt
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pysbmy
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numpy
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matplotlib
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h5py
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tqdm
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1
sbmy_control.egg-info/top_level.txt
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sbmy_control.egg-info/top_level.txt
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sbmy_control
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.gitignore → sbmy_control/.gitignore
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.gitignore → sbmy_control/.gitignore
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setup.py
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setup.py
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from setuptools import setup, find_packages
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setup(
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name='sbmy_control',
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version='0.1.0',
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author='Mayeul Aubin',
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author_email='mayeul.aubin@iap.fr',
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description='Simbelmyne control package',
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long_description='This package provides control functionalities for Simbelmyne. It allows to create automatically all the required files and scripts to run a N-body simulation with Simbelmyne, using monofonIC for initial conditions. The subpackage `analysis` provides tools to analyze the results of the simulation (slices and power spectra), while the subpackage `scripts` includes tools to handle snapshots, tiles and density fields.',
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long_description_content_type='text/markdown',
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url='https://git.aquila-consortium.org/maubin/sbmy_control',
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packages=find_packages(),
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install_requires=[
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'pysbmy',
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'numpy',
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'matplotlib',
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'h5py',
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'tqdm',
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],
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license='GPL-3.0',
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classifiers=[
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'Development Status :: 3 - Alpha',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.8',
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python :: 3.10',
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'Programming Language :: Python :: 3.11',
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],
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python_requires='>=3.8',
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entry_points={
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'console_scripts': [
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'sbmy_control=sbmy_control.main:console_main',
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'slices=sbmy_control.analysis.slices:console_main',
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'power_spectrum=sbmy_control.analysis.power_spectrum:console_main',
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'field_to_field=sbmy_control.scripts.field_to_field:console_main',
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'gather_tiles=sbmy_control.scripts.gather_tiles:console_main',
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'convert_snapshot_to_density=sbmy_control.scripts.convert_snapshot_to_density:console_main',
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'scola_submit=sbmy_control.scripts.scola_submit:console_main',
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],
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},
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)
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