Callable_Function_Data_Loading.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9037220d-def2-4fe6-b545-ceb8d53eeb2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import yt\n",
    "from yt.utilities.decompose import get_psize, decompose_array\n",
    "import numpy as np\n",
    "import h5py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b4a09a7-5313-4fe5-8aa1-2d50fcf27c98",
   "metadata": {},
   "outputs": [],
   "source": [
    "nz = 512\n",
    "with h5py.File(\"example.h5\", \"w\") as f:\n",
    "    f1, f2, f3 = np.mgrid[0.0:1.0:nz * 1j, 0.0:1.0:nz * 1j, 0.0:1.0:nz *1j]\n",
    "    f.create_dataset(\"/density\", data = f1)\n",
    "    f.create_dataset(\"/temperature\", data = f2)\n",
    "    f.create_dataset(\"/dinosaurs\", data = f3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "40aeaafd-1e53-4471-abc0-565023f59a0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_mmap_hdf5(filename, root_node = \"/\", fields = None, bbox = None, nchunks = 32):\n",
    "    if bbox is None:\n",
    "        bbox = np.array([[0.0, 1.0], [0.0, 1.0], [0.0, 1.0]])\n",
    "    def _read_data(handle, root_node):\n",
    "        def _reader(grid, field_name):\n",
    "            ftype, fname = field_name\n",
    "            si = grid.get_global_startindex()\n",
    "            ei = si + grid.ActiveDimensions\n",
    "            return handle[root_node][fname][si[0]:ei[0], si[1]:ei[1], si[2]:ei[2]]\n",
    "        return _reader\n",
    "    handle = h5py.File(filename, \"r\")\n",
    "    reader = _read_data(handle, root_node)\n",
    "    if fields is None:\n",
    "        fields = list(handle[root_node].keys())\n",
    "    shape = handle[root_node][fields[0]].shape\n",
    "    grid_data = []\n",
    "    psize = get_psize(np.array(shape), nchunks)\n",
    "    left_edges, right_edges, shapes, slices = decompose_array(shape, psize, bbox)\n",
    "    for le, re, s in zip(left_edges, right_edges, shapes):\n",
    "        data = {_: reader for _ in fields}\n",
    "        data.update({'left_edge': le, 'right_edge': re, 'dimensions': s, 'level': 1})\n",
    "        grid_data.append(data)\n",
    "    ds = yt.load_amr_grids(grid_data, shape)\n",
    "    return ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "397d4d80-df4a-451c-ab4f-b478f295a4bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2022-08-02 13:37:13,755 Parameters: current_time              = 0.0\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,756 Parameters: domain_dimensions         = [512 512 512]\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,756 Parameters: domain_left_edge          = [0. 0. 0.]\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,757 Parameters: domain_right_edge         = [1. 1. 1.]\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,757 Parameters: cosmological_simulation   = 0\n"
     ]
    }
   ],
   "source": [
    "ds = load_mmap_hdf5(\"example.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "83522186-8f28-4588-979e-e1877921da70",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "yt : [INFO     ] 2022-08-02 13:37:13,956 xlim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,956 ylim = 0.000000 1.000000\n",
      "yt : [INFO     ] 2022-08-02 13:37:13,957 Making a fixed resolution buffer of (density) 800 by 800\n",
      "yt : [INFO     ] 2022-08-02 13:37:16,154 Making a fixed resolution buffer of (('gas', 'density')) 800 by 800\n",
      "yt : [WARNING  ] 2022-08-02 13:37:16,176 Plotting ('gas', 'density'): Both positive and negative values. Min = 0.0 g/cm**3, Max = 1.0000000000000462 g/cm**3.\n",
      "yt : [WARNING  ] 2022-08-02 13:37:16,177 Switching to symlog colorbar scaling.\n"
     ]
    },
    {
     "data": {
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      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7f9b1c63e530>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\"><br>"
      ],
      "text/plain": [
       "<yt.visualization.plot_window.PWViewerMPL at 0x7f9b1c63e530>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[:, :, 0.5].plot(\"density\").set_log(\"all\", False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d4e6b1f7-eaeb-43e3-b309-879e8ca717f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "134217728"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.r[:][\"ones\"].size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "caf1df97-5f6d-4416-b954-94ad43900bf6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py310",
   "language": "python",
   "name": "py310"
  },
  "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}