{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1d7df404",
   "metadata": {},
   "source": [
    "# Downloadable examples\n",
    "\n",
    "This Jupyter Notebook show how to easily retrieve advanced examples online.\n",
    "\n",
    "1. Datasets\n",
    "2. Samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c0472be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", message=\".*IProgress not found.*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0a7c5e5",
   "metadata": {},
   "source": [
    "## Section 1: Datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "285f1c33",
   "metadata": {},
   "source": [
    "Retrieving advanded datasets examples is as easy as:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "178d8987",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plaid.examples import AVAILABLE_EXAMPLES\n",
    "\n",
    "print(AVAILABLE_EXAMPLES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "928400ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plaid.examples import datasets\n",
    "import time\n",
    "\n",
    "start = time.perf_counter()\n",
    "print(datasets.tensile2d)\n",
    "end = time.perf_counter()\n",
    "print(f\"First dataset retrieval duration: {end - start:.6f} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43b8ccd8",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "start = time.perf_counter()\n",
    "print(datasets.tensile2d)\n",
    "end = time.perf_counter()\n",
    "print(f\"Second dataset retrieval duration: {end - start:.6f} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d57a8df",
   "metadata": {},
   "source": [
    "## Section 2: Samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea313e86",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plaid.examples import samples\n",
    "\n",
    "start = time.perf_counter()\n",
    "print(samples.vki_ls59)\n",
    "\n",
    "end = time.perf_counter()\n",
    "print(f\"First sample retrieval duration: {end - start:.6f} seconds\")\n",
    "assert(len(samples.vki_ls59.get_scalar_names())==8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e43c0a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plaid.examples import samples\n",
    "\n",
    "start = time.perf_counter()\n",
    "print(samples.tensile2d)\n",
    "\n",
    "end = time.perf_counter()\n",
    "print(f\"The tensile2d dataset being already loaded: sample retrieval duration: {end - start:.6f} seconds\")\n",
    "assert(len(samples.tensile2d.get_scalar_names())==10)"
   ]
  }
 ],
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   "display_name": "plaid-dev",
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   "name": "python3"
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