{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "79d625cf",
   "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": "9408eb25",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", message=\".*IProgress not found.*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7989482",
   "metadata": {},
   "source": [
    "## Section 1: Datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7a130c3",
   "metadata": {},
   "source": [
    "Retrieving advanded datasets examples is as easy as:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6394b569",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plaid.examples import AVAILABLE_EXAMPLES\n",
    "\n",
    "print(AVAILABLE_EXAMPLES)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7ca3186",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "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": "8010c2eb",
   "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": "b69663be",
   "metadata": {},
   "source": [
    "## Section 2: Samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "319234be",
   "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\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d7d8d22",
   "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\")"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,py:percent"
  },
  "kernelspec": {
   "display_name": "plaid-dev",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}