Added test for jupyter extensions

pystencils_tests/test_jupyter_extensions.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pystencils.session import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dh = ps.create_data_handling(domain_size=(256, 256), periodicity=True)\n",
+    "c_field = dh.add_array('c')\n",
+    "dh.fill(\"c\", 0.0, ghost_layers=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for x in range(129):\n",
+    "    for y in range(258):\n",
+    "        dh.cpu_arrays['c'][x, y] = 1.0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff5b00707c0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scalar_field(dh.cpu_arrays[\"c\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ur = ps.Assignment(c_field[0, 0], c_field[1, 0])\n",
+    "ast = ps.create_kernel(ur, target=dh.default_target, cpu_openmp=True)\n",
+    "kernel = ast.compile()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c_sync = dh.synchronization_function(['c'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def timeloop(steps=10):\n",
+    "    for i in range(steps):\n",
+    "        c_sync()\n",
+    "        dh.run_kernel(kernel)\n",
+    "    return dh.gather_array('c')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ps.jupyter.set_display_mode('video')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<video controls width=\"80%\">\n",
+       " <source 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type=\"video/mp4\">\n",
+       " Your browser does not support the video tag.\n",
+       "</video>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ani = ps.plot.scalar_field_animation(timeloop, rescale=True, frames=12)\n",
+    "ps.jupyter.display_animation(ani)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ps.jupyter.set_display_mode('image_update')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ani = ps.plot.scalar_field_animation(timeloop, rescale=True, frames=12)\n",
+    "ps.jupyter.display_animation(ani)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def grid_update_function(image):\n",
+    "    for i in range(40):\n",
+    "        c_sync()\n",
+    "        dh.run_kernel(kernel)\n",
+    "    return dh.gather_array('c')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "animation = ps.jupyter.make_imshow_animation(dh.cpu_arrays[\"c\"], grid_update_function, frames=300)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}