{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a38ed25",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-04-12T14:25:46.519408Z",
     "start_time": "2023-04-12T14:25:03.003304Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sys.path.append(\"../\")\n",
    "import csiborgtools\n",
    "\n",
    "%matplotlib widget \n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "312c96c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring)\n",
    "nsim0 = 7444\n",
    "nsimx = 7444 + 24\n",
    "nsnap0 = max(paths.get_snapshots(nsim0))\n",
    "nsnapx = max(paths.get_snapshots(nsimx))\n",
    "overlapper  = csiborgtools.match.ParticleOverlap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b097637b",
   "metadata": {},
   "outputs": [],
   "source": [
    "halo0_archive = np.load(paths.split_path(nsnap0, nsim0))\n",
    "halox_archive = np.load(paths.split_path(nsnapx, nsimx))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c3cf4c91",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 204873/204873 [16:48<00:00, 203.15it/s]\n",
      "100%|██████████| 204960/204960 [16:42<00:00, 204.55it/s]\n"
     ]
    }
   ],
   "source": [
    "# delta_bckg = overlapper.make_bckg_delta(halo0_archive, verbose=True)\n",
    "# delta_bckg = overlapper.make_bckg_delta(halox_archive, delta=delta_bckg, verbose=True)\n",
    "# np.save(\"./bckg_{}_{}.npy\".format(nsim0, nsimx), delta_bckg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f2986dd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import h5py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1d8ad8fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = h5py.File(\"../data/particles_7444.h5\", \"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "020ac8e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 4.42346358e-01,  7.09757663e-03,  4.64053304e-01, -1.96926287e-03,\n",
       "       -2.67177823e-03, -6.45721859e-04,  1.16415322e-10])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f[\"particles\"][0, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1eb74f46",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv_csiborg",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}