{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f4273c8e",
   "metadata": {
    "papermill": {
     "duration": 0.003689,
     "end_time": "2023-12-28T10:56:56.409463",
     "exception": false,
     "start_time": "2023-12-28T10:56:56.405774",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Accessing evolutionary Coeval data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37cece10",
   "metadata": {
    "papermill": {
     "duration": 0.003545,
     "end_time": "2023-12-28T10:56:56.416646",
     "exception": false,
     "start_time": "2023-12-28T10:56:56.413101",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "When you run `run_coeval` with non-saturated spin temperature fluctuations (or various other options, such as inhomogeneous recombinations), *or* you run `run_lightcone`, many coeval simulation cubes at higher redshifts are computed, to generate the evolution up to the redshift you requested (or in the case of lightcones, to be interpolated over). By default, with `write=True`, all these boxes are saved to the cache (or a folder of your choice). What is the best way to access that data?\n",
    "\n",
    "Looking at the output datafiles themselves (a bunch of `.h5` files) is fairly confusing -- the files are saved with names based on inscrutable hashes. You can use the builtin command-line functionality `21cmfast query` to identify what's what, but that can be a bit clunky. You could also just run `run_coeval` at the redshift you care about, with the same input parameters -- this will just return the cached object. But this is also a bit clunky, and requires you to know the redshifts that were calculated during the evolution.\n",
    "\n",
    "Never fear though -- both the `Coeval` and `LightCone` objects have a `get_cached_data()` method that will find these files for you! Let's see how it works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d5560e99",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T22:10:11.054977Z",
     "start_time": "2020-02-29T22:10:10.248058Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-28T10:56:56.424837Z",
     "iopub.status.busy": "2023-12-28T10:56:56.424501Z",
     "iopub.status.idle": "2023-12-28T10:56:57.461680Z",
     "shell.execute_reply": "2023-12-28T10:56:57.461170Z"
    },
    "papermill": {
     "duration": 1.043591,
     "end_time": "2023-12-28T10:56:57.463259",
     "exception": false,
     "start_time": "2023-12-28T10:56:56.419668",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_cfg.py:57: UserWarning: Your configuration file is out of date. Updating...\n",
      "  warnings.warn(\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_cfg.py:41: UserWarning: Your configuration file is out of date. Updating...\n",
      "  warnings.warn(\"Your configuration file is out of date. Updating...\")\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "import py21cmfast as p21c\n",
    "\n",
    "# For plotting the cubes, we use the plotting submodule:\n",
    "from py21cmfast import plotting\n",
    "\n",
    "# For interacting with the cache\n",
    "from py21cmfast import cache_tools\n",
    "\n",
    "import h5py\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "226552fe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T22:10:11.059890Z",
     "start_time": "2020-02-29T22:10:11.056796Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-28T10:56:57.482425Z",
     "iopub.status.busy": "2023-12-28T10:56:57.481598Z",
     "iopub.status.idle": "2023-12-28T10:56:57.488069Z",
     "shell.execute_reply": "2023-12-28T10:56:57.487225Z"
    },
    "papermill": {
     "duration": 0.040663,
     "end_time": "2023-12-28T10:56:57.510390",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.469727",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using 21cmFAST version 3.3.2.dev97+g184d592.d20231222\n"
     ]
    }
   ],
   "source": [
    "print(f\"Using 21cmFAST version {p21c.__version__}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "835b8eb1",
   "metadata": {
    "papermill": {
     "duration": 0.005969,
     "end_time": "2023-12-28T10:56:57.522457",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.516488",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We're going to clear the cache, so that this notebook produces the same output every time. You probably shouldn't do this yourself (unless your cache is getting too big!). \n",
    "\n",
    "We also set the default output directory to `_cache/` to keep all of the outputs of this notebook in one place:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "48d2c6d9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T22:10:11.367976Z",
     "start_time": "2020-02-29T22:10:11.062517Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-28T10:56:57.536616Z",
     "iopub.status.busy": "2023-12-28T10:56:57.536209Z",
     "iopub.status.idle": "2023-12-28T10:56:57.762604Z",
     "shell.execute_reply": "2023-12-28T10:56:57.761892Z"
    },
    "papermill": {
     "duration": 0.235508,
     "end_time": "2023-12-28T10:56:57.764316",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.528808",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "if not os.path.exists('_cache'):\n",
    "    os.mkdir('_cache')\n",
    "    \n",
    "p21c.config['direc'] = '_cache'\n",
    "cache_tools.clear_cache(direc=\"_cache\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb99ec62",
   "metadata": {
    "papermill": {
     "duration": 0.003407,
     "end_time": "2023-12-28T10:56:57.771250",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.767843",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Create an example box"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7e79a05",
   "metadata": {
    "papermill": {
     "duration": 0.07619,
     "end_time": "2023-12-28T10:56:57.850581",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.774391",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We first run a coeval box and lightcone to have something to read later. It's a really small and unrealistic simulation (the point here is to show how to use the cached files, not to get something that looks pretty!):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6f3fe3ce",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-29T22:10:27.413255Z",
     "start_time": "2020-02-29T22:10:11.369635Z"
    },
    "execution": {
     "iopub.execute_input": "2023-12-28T10:56:57.859357Z",
     "iopub.status.busy": "2023-12-28T10:56:57.859028Z",
     "iopub.status.idle": "2023-12-28T10:57:42.593928Z",
     "shell.execute_reply": "2023-12-28T10:57:42.593298Z"
    },
    "papermill": {
     "duration": 44.741332,
     "end_time": "2023-12-28T10:57:42.595499",
     "exception": false,
     "start_time": "2023-12-28T10:56:57.854167",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/inputs.py:514: UserWarning: The USE_INTERPOLATION_TABLES setting has changed in v3.1.2 to be default True. You can likely ignore this warning, but if you relied onhaving USE_INTERPOLATION_TABLES=False by *default*, please set it explicitly. To silence this warning, set it explicitly to True. Thiswarning will be removed in v4.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vx\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vy\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vz\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vx_2LPT\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vy_2LPT\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n",
      "/home/steven/work/21cmfast/21cmfast/src/py21cmfast/_utils.py:811: UserWarning: Trying to remove array that isn't yet created: hires_vz_2LPT\n",
      "  warnings.warn(f\"Trying to remove array that isn't yet created: {k}\")\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:01 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.493237e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:03 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.451287e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:05 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.355277e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:07 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.262872e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:09 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.173945e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:12 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.088374e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:14 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.006038e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:16 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.926822e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:18 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.850615e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:20 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.777308e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:22 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.706797e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:25 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.638980e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:27 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.573761e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:29 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.511044e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:32 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.450738e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:34 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.392755e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:36 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 1.337012e+01\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-12-28 11:57:39 | INFO    | SpinTemperatureBox.c | ComputeTsBox:549 [pid=10384/thr=0] | previous_spin_temp: 2.548283e+01\n"
     ]
    }
   ],
   "source": [
    "coeval = p21c.run_coeval(\n",
    "    redshift = 25.0,\n",
    "    user_params = {\"HII_DIM\": 30, \"BOX_LEN\": 45},\n",
    "    flag_options={\"USE_TS_FLUCT\": True},\n",
    "    random_seed=1978,\n",
    "    write=True\n",
    ")\n",
    "\n",
    "lightcone = p21c.run_lightcone(\n",
    "    redshift = 25.0,\n",
    "    max_redshift = 35.0,\n",
    "    user_params = {\"HII_DIM\": 30, \"BOX_LEN\": 45},\n",
    "    flag_options={\"USE_TS_FLUCT\": True},\n",
    "    random_seed=1978,\n",
    "    lightcone_quantities=(\"brightness_temp\", 'density'),\n",
    "    global_quantities=(\"brightness_temp\", 'density', 'xH_box'),\n",
    "    write=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "398ecd06",
   "metadata": {
    "papermill": {
     "duration": 0.010434,
     "end_time": "2023-12-28T10:57:42.609764",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.599330",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Accessing cached data from `Coeval`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccd6621d",
   "metadata": {
    "papermill": {
     "duration": 0.003737,
     "end_time": "2023-12-28T10:57:42.617347",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.613610",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The function to use here is `get_cached_data`. To use it, pass the (approximate) redshift that you want, and the kind of output that you want (`init`, `perturb_field`, `ionized_box`, `spin_temp` or `brightness_temp`). The method will grab the *closest* redshift to the one you pass that was actually calculated in the evolution of the given box. By default, the returned object will be empty, and you can read in the data manually. To read in the data automatically, set `load_data=True`. Let's see it in action:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d5075357",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:42.626676Z",
     "iopub.status.busy": "2023-12-28T10:57:42.625869Z",
     "iopub.status.idle": "2023-12-28T10:57:42.635848Z",
     "shell.execute_reply": "2023-12-28T10:57:42.635187Z"
    },
    "papermill": {
     "duration": 0.01601,
     "end_time": "2023-12-28T10:57:42.636988",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.620978",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "brightness_temp_z25 = coeval.get_cached_data(redshift=25.1, kind='brightness_temp', load_data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0df9439",
   "metadata": {
    "papermill": {
     "duration": 0.004361,
     "end_time": "2023-12-28T10:57:42.645325",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.640964",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The output is an `OutputStruct` of whatever kind you requested:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e82193c9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:42.654929Z",
     "iopub.status.busy": "2023-12-28T10:57:42.654065Z",
     "iopub.status.idle": "2023-12-28T10:57:42.658426Z",
     "shell.execute_reply": "2023-12-28T10:57:42.657726Z"
    },
    "papermill": {
     "duration": 0.010339,
     "end_time": "2023-12-28T10:57:42.659631",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.649292",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BrightnessTemp(UserParams(BOX_LEN:45, DIM:90, FAST_FCOLL_TABLES:False, HII_DIM:30, HMF:1, KEEP_3D_VELOCITIES:False, MINIMIZE_MEMORY:False, NON_CUBIC_FACTOR:1, NO_RNG:False, N_THREADS:1, PERTURB_ON_HIGH_RES:False, POWER_SPECTRUM:0, USE_2LPT:True, USE_FFTW_WISDOM:False, USE_INTERPOLATION_TABLES:True, USE_RELATIVE_VELOCITIES:False);\n",
      "\tCosmoParams(OMb:0.04897, OMm:0.3096, POWER_INDEX:0.9665, SIGMA_8:0.8102, hlittle:0.6766);\n",
      "\trandom_seed:1978;\n",
      "\tredshift:25.0;\n",
      "\tFlagOptions(APPLY_RSDS:True, FIX_VCB_AVG:False, INHOMO_RECO:False, M_MIN_in_Mass:False, PHOTON_CONS:False, SUBCELL_RSD:False, USE_CMB_HEATING:True, USE_HALO_FIELD:False, USE_LYA_HEATING:True, USE_MASS_DEPENDENT_ZETA:False, USE_MINI_HALOS:False, USE_TS_FLUCT:True);\n",
      "\tAstroParams(ALPHA_ESC:-0.5, ALPHA_STAR:0.5, ALPHA_STAR_MINI:0.5, A_LW:2, A_VCB:1, BETA_LW:0.6, BETA_VCB:1.8, F_ESC10:0.1, F_ESC7_MINI:0.01, F_H2_SHIELD:0, F_STAR10:0.05012, F_STAR7_MINI:0.01, HII_EFF_FACTOR:30, ION_Tvir_MIN:50000, L_X:1e+40, L_X_MINI:1e+40, M_TURN:5.012e+08, NU_X_THRESH:500, N_RSD_STEPS:20, R_BUBBLE_MAX:15, X_RAY_SPEC_INDEX:1, X_RAY_Tvir_MIN:50000, t_STAR:0.5))\n"
     ]
    }
   ],
   "source": [
    "print(brightness_temp_z25)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c790bcda",
   "metadata": {
    "papermill": {
     "duration": 0.003781,
     "end_time": "2023-12-28T10:57:42.667178",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.663397",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We can proceed to plot the brightness temperature that we read from cache -- and since we only calculated up to $z=25$ for the `Coeval`, the cache should be pointing to the same brightness temperature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ff032bb6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:42.676456Z",
     "iopub.status.busy": "2023-12-28T10:57:42.675503Z",
     "iopub.status.idle": "2023-12-28T10:57:42.971810Z",
     "shell.execute_reply": "2023-12-28T10:57:42.971114Z"
    },
    "papermill": {
     "duration": 0.302138,
     "end_time": "2023-12-28T10:57:42.972966",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.670828",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize=(10,4))\n",
    "plotting.coeval_sliceplot(coeval, ax=ax[0], fig=fig)\n",
    "plotting.coeval_sliceplot(brightness_temp_z25, ax=ax[1], fig=fig)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a49b8a86",
   "metadata": {
    "papermill": {
     "duration": 0.010997,
     "end_time": "2023-12-28T10:57:42.988226",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.977229",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Of course, we could have pulled the cached data from a higher redshift:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b56e16ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:42.997862Z",
     "iopub.status.busy": "2023-12-28T10:57:42.997414Z",
     "iopub.status.idle": "2023-12-28T10:57:43.214345Z",
     "shell.execute_reply": "2023-12-28T10:57:43.213550Z"
    },
    "papermill": {
     "duration": 0.223154,
     "end_time": "2023-12-28T10:57:43.215606",
     "exception": false,
     "start_time": "2023-12-28T10:57:42.992452",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "st_z35 = coeval.get_cached_data(redshift=35.0, kind='spin_temp', load_data=True)\n",
    "st_z25 = coeval.get_cached_data(redshift=25.0, kind='spin_temp', load_data=True)\n",
    "\n",
    "fig, ax = plt.subplots(1,2, figsize=(10,4))\n",
    "plotting.coeval_sliceplot(st_z35, ax=ax[0], kind='Ts_box')\n",
    "ax[0].set_title(\"z=35\")\n",
    "plotting.coeval_sliceplot(st_z25, ax=ax[1], kind='Ts_box')\n",
    "ax[1].set_title(\"z=25\")\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d23c8e7",
   "metadata": {
    "papermill": {
     "duration": 0.004619,
     "end_time": "2023-12-28T10:57:43.224996",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.220377",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Here we see evolution in the spin temperature field. Note that we can't look at the brightness temperature field at $z=25$ because it was never saved as part of the evolution of the coeval box (only the ionization field and spin temperature field are saved). This is different in `run_lightcone` -- all boxes are cached at every evaluated redshift for the lightcone."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f410946e",
   "metadata": {
    "papermill": {
     "duration": 0.004535,
     "end_time": "2023-12-28T10:57:43.233800",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.229265",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Accessing Cached Data from a `Lightcone`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eebb9ed1",
   "metadata": {
    "papermill": {
     "duration": 0.004438,
     "end_time": "2023-12-28T10:57:43.242740",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.238302",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The process is essentially exactly the same for a lightcone:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "454b62dc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:43.252904Z",
     "iopub.status.busy": "2023-12-28T10:57:43.252576Z",
     "iopub.status.idle": "2023-12-28T10:57:43.266601Z",
     "shell.execute_reply": "2023-12-28T10:57:43.265955Z"
    },
    "papermill": {
     "duration": 0.020715,
     "end_time": "2023-12-28T10:57:43.267759",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.247044",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "brightness_temp_z25 = lightcone.get_cached_data(redshift=25.0, kind='brightness_temp', load_data=True)\n",
    "brightness_temp_z35 = lightcone.get_cached_data(redshift=35.0, kind='brightness_temp', load_data=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2c038f0e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:43.277961Z",
     "iopub.status.busy": "2023-12-28T10:57:43.277574Z",
     "iopub.status.idle": "2023-12-28T10:57:43.489492Z",
     "shell.execute_reply": "2023-12-28T10:57:43.488702Z"
    },
    "papermill": {
     "duration": 0.218354,
     "end_time": "2023-12-28T10:57:43.490708",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.272354",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2, figsize=(10,4))\n",
    "plotting.coeval_sliceplot(brightness_temp_z35, ax=ax[0])\n",
    "ax[0].set_title(\"z=35\")\n",
    "plotting.coeval_sliceplot(brightness_temp_z25, ax=ax[1])\n",
    "ax[1].set_title(\"z=25\")\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15df6564",
   "metadata": {
    "papermill": {
     "duration": 0.005043,
     "end_time": "2023-12-28T10:57:43.500291",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.495248",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Note that this time, we are able to access the brightness temperature data from the cache, because lightcones save it all."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61510904",
   "metadata": {
    "papermill": {
     "duration": 0.004557,
     "end_time": "2023-12-28T10:57:43.509349",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.504792",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "In fact, we could go further than this, and plot all the evaluated brightness temperatures. We can get the list of redshifts evaluated from the lightcone directly as `node_redshifts`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "172e3939",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:43.519820Z",
     "iopub.status.busy": "2023-12-28T10:57:43.519370Z",
     "iopub.status.idle": "2023-12-28T10:57:45.402011Z",
     "shell.execute_reply": "2023-12-28T10:57:45.401116Z"
    },
    "papermill": {
     "duration": 1.889543,
     "end_time": "2023-12-28T10:57:45.403370",
     "exception": false,
     "start_time": "2023-12-28T10:57:43.513827",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1728 with 36 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(len(lightcone.node_redshifts)//3, 3, figsize=(14,4*len(lightcone.node_redshifts)//3))\n",
    "\n",
    "for i, z in enumerate(lightcone.node_redshifts):\n",
    "    Tbz = lightcone.get_cached_data(redshift=z, kind='brightness_temp', load_data=True)\n",
    "    plotting.coeval_sliceplot(Tbz, ax=ax.flatten()[i])\n",
    "    ax.flatten()[i].set_title(f\"z={z:.2f}\")\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33a59512",
   "metadata": {
    "papermill": {
     "duration": 0.010887,
     "end_time": "2023-12-28T10:57:45.419828",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.408941",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "To illustrate another way of accessing these cached boxes, we can simply run `run_coeval` at a particular redshift, with the same input arguments. Let's choose about $z\\sim30$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8ec609df",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:45.433454Z",
     "iopub.status.busy": "2023-12-28T10:57:45.433154Z",
     "iopub.status.idle": "2023-12-28T10:57:45.892954Z",
     "shell.execute_reply": "2023-12-28T10:57:45.892403Z"
    },
    "papermill": {
     "duration": 0.468217,
     "end_time": "2023-12-28T10:57:45.894099",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.425882",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "z30 = lightcone.node_redshifts[8] # the closest to 30\n",
    "\n",
    "# Run the coeval. This will just find the box in cache, since it has exactly the same parameters.\n",
    "coeval_z30 = p21c.run_coeval(\n",
    "    redshift = z30,\n",
    "    user_params = {\"HII_DIM\": 30, \"BOX_LEN\": 45},\n",
    "    flag_options={\"USE_TS_FLUCT\": True},\n",
    "    random_seed=1978,\n",
    "    write=False\n",
    ")\n",
    "\n",
    "# Compare that to what we get from the lightcone cache\n",
    "lc_z30 = lightcone.get_cached_data(redshift=30, kind='brightness_temp', load_data=True)\n",
    "\n",
    "fig, ax = plt.subplots(1,2, figsize=(10,4))\n",
    "plotting.coeval_sliceplot(coeval_z30, ax=ax[0])\n",
    "plotting.coeval_sliceplot(lc_z30, ax=ax[1])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b809e1a",
   "metadata": {
    "papermill": {
     "duration": 0.011252,
     "end_time": "2023-12-28T10:57:45.911104",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.899852",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "These are exactly the same. Note that in fact, the data comes from exactly the same file (the lightcone 'cache' is just a pointer to the standard file cache, just easier to access)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "476cbee6",
   "metadata": {
    "papermill": {
     "duration": 0.005641,
     "end_time": "2023-12-28T10:57:45.922535",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.916894",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Gathering cached data into one file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55ba606c",
   "metadata": {
    "papermill": {
     "duration": 0.005579,
     "end_time": "2023-12-28T10:57:45.934005",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.928426",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "As we've already noted, when you use `get_cached_data`, the `Coeval` or `Lightcone` objects just know how to access a specific cached file -- usually found in your configured cache directory. This can be a little brittle -- if the cache files are removed, the `Coeval` object won't be able to access that data any more. To protect against this, you can `gather` all the evolutionary data into a single file. It's typically easiest if you first save the lightcone:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "92129dc8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:45.947574Z",
     "iopub.status.busy": "2023-12-28T10:57:45.947258Z",
     "iopub.status.idle": "2023-12-28T10:57:45.962196Z",
     "shell.execute_reply": "2023-12-28T10:57:45.961331Z"
    },
    "papermill": {
     "duration": 0.02409,
     "end_time": "2023-12-28T10:57:45.963652",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.939562",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "fname = lightcone.save(fname='lightcone.h5', direc='_cache')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a8adebf",
   "metadata": {
    "papermill": {
     "duration": 0.005699,
     "end_time": "2023-12-28T10:57:45.975247",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.969548",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Then, you can gather the cached data into that file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8388dc0f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:45.988461Z",
     "iopub.status.busy": "2023-12-28T10:57:45.987749Z",
     "iopub.status.idle": "2023-12-28T10:57:46.095704Z",
     "shell.execute_reply": "2023-12-28T10:57:46.094907Z"
    },
    "papermill": {
     "duration": 0.11579,
     "end_time": "2023-12-28T10:57:46.097122",
     "exception": false,
     "start_time": "2023-12-28T10:57:45.981332",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "lightcone.gather(\n",
    "    fname=fname,\n",
    "    kinds=(\"brightness_temp\", \"init\"),\n",
    "    direc='_cache',\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d6c7e1d",
   "metadata": {
    "papermill": {
     "duration": 0.005724,
     "end_time": "2023-12-28T10:57:46.108962",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.103238",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The above gathered the brightness temperature and initial conditions data, and saved it into the file `_cache/lightcone.h5`. The `kinds` can be any of those allowed in `get_cached_data`. You can also call it again to gather more data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "29e6fee4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:46.122268Z",
     "iopub.status.busy": "2023-12-28T10:57:46.121625Z",
     "iopub.status.idle": "2023-12-28T10:57:46.251742Z",
     "shell.execute_reply": "2023-12-28T10:57:46.251052Z"
    },
    "papermill": {
     "duration": 0.138226,
     "end_time": "2023-12-28T10:57:46.253196",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.114970",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "lightcone.gather(fname=fname, kinds=('ionized_box',));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86573a28",
   "metadata": {
    "papermill": {
     "duration": 0.005816,
     "end_time": "2023-12-28T10:57:46.265185",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.259369",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The original cached data files are left on-disk, which duplicates data. If you're sure you want to remove them, pass `clean=True` to `gather`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30d99881",
   "metadata": {
    "papermill": {
     "duration": 0.00566,
     "end_time": "2023-12-28T10:57:46.277356",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.271696",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The structure of the gathered data in the file is the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6387ec0b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:46.290497Z",
     "iopub.status.busy": "2023-12-28T10:57:46.289779Z",
     "iopub.status.idle": "2023-12-28T10:57:46.296217Z",
     "shell.execute_reply": "2023-12-28T10:57:46.295562Z"
    },
    "papermill": {
     "duration": 0.014275,
     "end_time": "2023-12-28T10:57:46.297262",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.282987",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<KeysViewHDF5 ['brightness_temp', 'init', 'ionized_box']>\n",
      "<KeysViewHDF5 ['z25.00', 'z25.52', 'z26.05', 'z26.59', 'z27.14', 'z27.71', 'z28.28', 'z28.87', 'z29.46', 'z30.07', 'z30.69', 'z31.33', 'z31.97', 'z32.63', 'z33.31', 'z33.99', 'z34.69', 'z35.41']>\n",
      "<KeysViewHDF5 ['brightness_temp']>\n"
     ]
    }
   ],
   "source": [
    "with h5py.File(fname, \"r\") as fl:\n",
    "    print(fl['cache'].keys())\n",
    "    print(fl['cache']['brightness_temp'].keys())\n",
    "    print(fl['cache']['brightness_temp']['z25.00'].keys())\n",
    "    \n",
    "    tb_25 = fl['cache']['brightness_temp']['z25.00']['brightness_temp'][...]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "901e2553",
   "metadata": {
    "papermill": {
     "duration": 0.006134,
     "end_time": "2023-12-28T10:57:46.309197",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.303063",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We've read in the brightness temperature at the final redshift. We can compare this to the coeval box directly evaluated there:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2b0b2e65",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-12-28T10:57:46.322709Z",
     "iopub.status.busy": "2023-12-28T10:57:46.321834Z",
     "iopub.status.idle": "2023-12-28T10:57:46.498604Z",
     "shell.execute_reply": "2023-12-28T10:57:46.497793Z"
    },
    "papermill": {
     "duration": 0.185024,
     "end_time": "2023-12-28T10:57:46.500142",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.315118",
     "status": "completed"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "T21minplot=-10.0\n",
    "T21maxplot=10.0\n",
    "\n",
    "fig, ax = plt.subplots(1,2, figsize=(10,4))\n",
    "plotting.coeval_sliceplot(\n",
    "    coeval, \n",
    "    ax=ax[0], fig=fig, kind=\"brightness_temp\", slice_axis=0,\n",
    "    vmin=T21minplot, vmax=T21maxplot, cmap = \"magma\"\n",
    ")\n",
    "ax[1].imshow(\n",
    "    tb_25.T[:, :, 0], \n",
    "    origin=\"lower\", vmin=T21minplot, vmax=T21maxplot, cmap = \"magma\"\n",
    ")\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49071043",
   "metadata": {
    "papermill": {
     "duration": 0.0069,
     "end_time": "2023-12-28T10:57:46.514492",
     "exception": false,
     "start_time": "2023-12-28T10:57:46.507592",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Again, they are equivalent."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:21cmfast]",
   "language": "python",
   "name": "conda-env-21cmfast-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": true,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "papermill": {
   "default_parameters": {},
   "duration": 51.509561,
   "end_time": "2023-12-28T10:57:46.961981",
   "environment_variables": {},
   "exception": null,
   "input_path": "docs/tutorials/gather_data.ipynb",
   "output_path": "tmp.ipynb",
   "parameters": {},
   "start_time": "2023-12-28T10:56:55.452420",
   "version": "2.5.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}