{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cpython\n",
      "pypy\n",
      "jython\n",
      "ironpython\n"
     ]
    }
   ],
   "source": [
    "implementations = ['cpython', 'pypy', 'jython', 'ironpython']\n",
    "\n",
    "for implementation in implementations:\n",
    "    print(implementation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "\n",
    "<h1 style=\"text-align: center !important\">La philosophie de l'itération</h1>\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "<p style=\"text-align: center !important\">\n",
    "\n",
    "<br><br><br><br>kevin@formationspython.com\n",
    "\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Un design pattern : iterator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Eviter de boucler à la main:\n",
    "\n",
    "```c\n",
    "    const char *relatedTopics[] = { \n",
    "        \"++\", \n",
    "        \"jerome\", \n",
    "        \"pas ma faute\", \n",
    "        NULL \n",
    "    };\n",
    "\n",
    "    for (int i=0; relatedTopics[i]; ++i) {\n",
    "        const char *ch = relatedTopics[i]; \n",
    "        while(*ch) {\n",
    "            putchar(*ch++);\n",
    "            putchar('\\n');\n",
    "        }\n",
    "        putchar('\\n');\n",
    "    }\n",
    "    \n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"java_iterable.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"c_shar_iterable.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Visitor\n",
    "\n",
    "Methode `forEach` des arrays en JS:\n",
    "\n",
    "```javascript\n",
    "var nope = [\"==\", \"with\", \"eval\"];\n",
    "nope.forEach((e) => {\n",
    "    console.log(e)\n",
    "});\n",
    "```\n",
    "\n",
    "\"L'iterator\" `each` de Ruby:\n",
    "\n",
    "```Ruby\n",
    "popularProjects = [\"RoR\", \"rails\", \"Ruby on Rails\"];\n",
    "popularProjects.each do |i|\n",
    "   puts i\n",
    "end\n",
    "});\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Comment Python fait marcher tout ça"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'> de cris :\n",
      "Cowabunga !\n",
      "Yippee ki-yay, mofo !\n",
      "Wololo !\n"
     ]
    }
   ],
   "source": [
    "cris = ['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'] \n",
    "\n",
    "# cris = set(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])\n",
    "# cris = tuple(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])\n",
    "# cris = dict.fromkeys(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])\n",
    "\n",
    "print(f\"{type(cris)} de cris :\")\n",
    "\n",
    "for cri in cris:\n",
    "    print(cri, '!')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "cris = ['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'] \n",
    "\n",
    "#cris = set(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])\n",
    "#cris = tuple(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])\n",
    "#cris = dict.fromkeys(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "sauce_magique = iter(cris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list_iterator"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(sauce_magique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Cowabunga'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(sauce_magique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Yippee ki-yay, mofo'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(sauce_magique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Wololo'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(sauce_magique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "ename": "StopIteration",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m                             Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-10-1d04ef51b335>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msauce_magique\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mStopIteration\u001b[0m: "
     ]
    }
   ],
   "source": [
    "next(sauce_magique)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Iterator, l'interface universelle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "for i in range(1, 4):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a\n",
      "b\n",
      "c\n"
     ]
    }
   ],
   "source": [
    "for lettre in \"abc\":\n",
    "    print(lettre)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chez moi ça marche\n",
      "\n",
      "T'as rebooté ?\n",
      "\n",
      "Réessaye pour voir\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for ligne in open('answers.txt'):\n",
    "    print(ligne)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Chez moi ça marche\\n', \"T'as rebooté ?\\n\", 'Réessaye pour voir\\n']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(open('answers.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tuple(range(1, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a', 'b', 'c'}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set('abc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum([1, 2, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(set([1, 2, 3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(range(1, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(map(int, \"123\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Cowabunga', 'Wololo', 'Yippee ki-yay, mofo']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(set(['Cowabunga', 'Yippee ki-yay, mofo', 'Wololo']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[True, 1]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(filter(bool, (True, False, None, 1, 0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Chez moi ça marche\\n/////////////T'as rebooté ?\\n/////////////Réessaye pour voir\\n\""
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"/////////////\".join(open('answers.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 a\n",
      "2 b\n",
      "3 c\n"
     ]
    }
   ],
   "source": [
    "for i, ligne in enumerate('abc', 1):\n",
    "    print(i, ligne)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'c': 1,\n",
       "         'd': 5,\n",
       "         'f': 4,\n",
       "         'h': 3,\n",
       "         'j': 3,\n",
       "         'k': 5,\n",
       "         'l': 3,\n",
       "         'q': 2,\n",
       "         's': 1,\n",
       "         'v': 1})"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import collections # amis des itérables\n",
    "\n",
    "collections.Counter('dkjflchldkfhjdlskqfvdkfdhqkj')\n",
    "\n",
    "# collections.deque\n",
    "# collections.defaultdict\n",
    "# collections.OrderedDict\n",
    "# collections.namedtuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "10\n"
     ]
    }
   ],
   "source": [
    "# Prend n'importe quel itérable\n",
    "\n",
    "print(any([True, True, False, True, False]))\n",
    "print(all([True, True, False, True, False]))\n",
    "print(max([5, 10, 4, 1]))\n",
    "# min\n",
    "# reduce"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Retourne des itérables:\n",
    "\n",
    "- bytes\n",
    "- csv.reader\n",
    "- os.walk\n",
    "- multiprocessing.Pool.map\n",
    "- sqlite3.cursor\n",
    "- xml.etree.ElementTree\n",
    "\n",
    "\n",
    "Et même les libs externes:\n",
    "\n",
    "- Querysets des ORMs (Django, SQLAlchemy, Peewee...);\n",
    "- Body des réponses de WSGI "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Un module juste pour les itérables\n",
    "\n",
    "\n",
    "\n",
    "```python\n",
    "import itertools\n",
    "\n",
    "itertools.accumulate\n",
    "itertools.chain\n",
    "itertools.combinations\n",
    "itertools.combinations_with_replacement\n",
    "itertools.compress\n",
    "itertools.count\n",
    "itertools.cycle\n",
    "itertools.dropwhile\n",
    "itertools.filterfalse\n",
    "itertools.groupby\n",
    "itertools.islice\n",
    "itertools.permutations\n",
    "itertools.product\n",
    "itertools.repeat\n",
    "itertools.starmap\n",
    "itertools.takewhile\n",
    "itertools.tee\n",
    "itertools.zip_longest\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a\n",
      "b\n",
      "c\n",
      "0\n",
      "1\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "import itertools\n",
    "for x in itertools.chain('abc', range(3)):\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('a', 0),\n",
       " ('a', 1),\n",
       " ('a', 2),\n",
       " ('b', 0),\n",
       " ('b', 1),\n",
       " ('b', 2),\n",
       " ('c', 0),\n",
       " ('c', 1),\n",
       " ('c', 2)]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(itertools.product('abc', range(3)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a\n",
      "b\n",
      "c\n",
      "a\n"
     ]
    }
   ],
   "source": [
    "histoire_de_la_vie = iter(itertools.cycle('abc'))\n",
    "print(next(histoire_de_la_vie))\n",
    "print(next(histoire_de_la_vie))\n",
    "print(next(histoire_de_la_vie))\n",
    "print(next(histoire_de_la_vie))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## L'unpacking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "x, y = (1, 2)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "def point():\n",
    "    return 1, 2\n",
    "\n",
    "x, y = point()\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a = Aligator\n",
      "b = Behemot\n",
      "c = Claude\n"
     ]
    }
   ],
   "source": [
    "a, b, c = [\"Aligator\", \"Behemot\", \"Claude\"]\n",
    "print(f'a = {a}')\n",
    "print(f'b = {b}')\n",
    "print(f'c = {c}')  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a = Chez moi ça marche\n",
      "\n",
      "b = T'as rebooté ?\n",
      "\n",
      "c = Réessaye pour voir\n",
      "\n"
     ]
    }
   ],
   "source": [
    "a, b, c = open('answers.txt')\n",
    "print(f'a = {a}')\n",
    "print(f'b = {b}')\n",
    "print(f'c = {c}') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a = 0\n",
      "b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98]\n",
      "d = 99\n"
     ]
    }
   ],
   "source": [
    "a, *b, d = range(100)\n",
    "print(f'a = {a}')\n",
    "print(f'b = {b}')\n",
    "print(f'd = {d}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a#b#c\n"
     ]
    }
   ],
   "source": [
    "print(*'abc', sep=\"#\")  # équivaut à print(\"a\", \"b\", \"c\", sep=\"#\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0,\n",
       " 1,\n",
       " 2,\n",
       " 'Chez moi ça marche\\n',\n",
       " \"T'as rebooté ?\\n\",\n",
       " 'Réessaye pour voir\\n',\n",
       " 'Cowabunga',\n",
       " 'Yippee ki-yay, mofo',\n",
       " 'Wololo']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[*range(3), *open('answers.txt'), *set(cris)]  # marche aussi pour merger des dictionnaires avec ** :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "pixels = [\"rouge\", \"vert\", \"bleu\", \"rouge\", \"vert\", \"bleu\", \"rouge\", \"vert\", \"bleu\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "pixels[::3], pixels[2::3] = pixels[2::3], pixels[::3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bleu', 'vert', 'rouge', 'bleu', 'vert', 'rouge', 'bleu', 'vert', 'rouge']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pixels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Le flux de données"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "docker0   Link encap:Ethernet  HWaddr 02:42:70:a2:48:86  \n",
      "          inet adr:172.17.0.1  Bcast:0.0.0.0  Masque:255.255.0.0\n",
      "          UP BROADCAST MULTICAST  MTU:1500  Metric:1\n",
      "          Packets reçus:0 erreurs:0 :0 overruns:0 frame:0\n",
      "          TX packets:0 errors:0 dropped:0 overruns:0 carrier:0\n",
      "          collisions:0 lg file transmission:0 \n",
      "          Octets reçus:0 (0.0 B) Octets transmis:0 (0.0 B)\n",
      "\n",
      "enx644bf0013110 Link encap:Ethernet  HWaddr 64:4b:f0:01:31:10  \n",
      "          inet adr:192.168.1.10  Bcast:192.168.1.255  Masque:255.255.255.0\n",
      "          adr inet6: 2a01:cb1d:16:5b00:6a2c:d680:372e:a92a/64 Scope:Global\n",
      "          adr inet6: fe80::1ff5:8827:4cd9:fdf2/64 Scope:Lien\n",
      "          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1\n",
      "          Packets reçus:310258 erreurs:0 :0 overruns:0 frame:0\n",
      "          TX packets:185186 errors:0 dropped:0 overruns:0 carrier:0\n",
      "          collisions:0 lg file transmission:1000 \n",
      "          Octets reçus:337432415 (337.4 MB) Octets transmis:20810130 (20.8 MB)\n",
      "\n",
      "lo        Link encap:Boucle locale  \n",
      "          inet adr:127.0.0.1  Masque:255.0.0.0\n",
      "          adr inet6: ::1/128 Scope:Hôte\n",
      "          UP LOOPBACK RUNNING  MTU:65536  Metric:1\n",
      "          Packets reçus:30249 erreurs:0 :0 overruns:0 frame:0\n",
      "          TX packets:30249 errors:0 dropped:0 overruns:0 carrier:0\n",
      "          collisions:0 lg file transmission:1000 \n",
      "          Octets reçus:18551108 (18.5 MB) Octets transmis:18551108 (18.5 MB)\n",
      "\n",
      "wlp2s0    Link encap:Ethernet  HWaddr 44:1c:a8:e2:1a:df  \n",
      "          UP BROADCAST MULTICAST  MTU:1500  Metric:1\n",
      "          Packets reçus:10400 erreurs:0 :121 overruns:0 frame:0\n",
      "          TX packets:5860 errors:0 dropped:0 overruns:0 carrier:0\n",
      "          collisions:0 lg file transmission:1000 \n",
      "          Octets reçus:11993856 (11.9 MB) Octets transmis:592176 (592.1 KB)\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import subprocess\n",
    "\n",
    "res = subprocess.check_output([\"ifconfig\"], encoding=\"utf8\")   # devinez ce qu'attend \"call\" en paramètre ?\n",
    "\n",
    "print(res) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import re, subprocess\n",
    "\n",
    "res = subprocess.check_output([\"ifconfig\"], encoding=\"utf8\")\n",
    "reg = re.compile(r'(\\S+).*\\n.*adr:(\\S+)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'docker0': '172.17.0.1', 'enx644bf0013110': '192.168.1.10', 'lo': '127.0.0.1'}\n"
     ]
    }
   ],
   "source": [
    "interfaces = {}\n",
    "for block in res.split('\\n\\n'): \n",
    "    if 'adr' in block:\n",
    "        interface, ip = reg.match(block).groups()\n",
    "        interfaces[interface] = ip\n",
    "print(interfaces)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'docker0': '172.17.0.1', 'enx644bf0013110': '192.168.1.10', 'lo': '127.0.0.1'}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interfaces = [reg.match(block).groups() for block in res.split('\\n\\n') if 'adr' in block]\n",
    "dict(interfaces)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Les intensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[x * x for x in range(10)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{x: x * x for x in range(10)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0, 1, 4, 9, 16, 25, 36, 49, 64, 81}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{x * x for x in range(10)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Les expressions génératrices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# NOPE !\n",
    "# res = [x * x for x in range(10000000000000)] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "res = (x * x for x in range(10000000000000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object <genexpr> at 0x7f0808755360>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n",
      "9\n",
      "16\n"
     ]
    }
   ],
   "source": [
    "print(next(res))\n",
    "print(next(res))\n",
    "print(next(res))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "\n",
    "def get_results(n=10, profile=\"/home/pycon/.mozilla/firefox/l92ue2kx.default/places.sqlite\"):\n",
    "    return sqlite3.connect(profile).execute(\"\"\"\n",
    "        SELECT sites.rev_host as host, count(*) as visits FROM moz_historyvisits as visits, moz_places as sites\n",
    "        WHERE  visits.place_id == sites.id GROUP BY host ORDER BY visits DESC\n",
    "    \"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "sites = ((dom[-2::-1], vis) for dom, vis in get_results())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "MOTEURS = set(['duckduckgo', 'google', 'bing', 'qwant'])\n",
    "sites = ((dom, vis) for dom, vis in sites if not any(m in dom for m in MOTEURS)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import itertools\n",
    "sites = itertools.islice(sites, 0, 5) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<itertools.islice at 0x7f080873adb8>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('localhost', 359)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(sites)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('nbviewer.jupyter.org', 41)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(sites)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('github.com', 9)\n",
      "('lastpass.com', 9)\n",
      "('www.lastpass.com', 7)\n"
     ]
    }
   ],
   "source": [
    "for s in sites:\n",
    "    print(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Yield"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Avant le premier return\n",
      "1\n"
     ]
    }
   ],
   "source": [
    "def fonction_normale():\n",
    "    print('Avant le premier return')\n",
    "    return 1\n",
    "    print('Apres le premier return')\n",
    "    return 2\n",
    "    print(\"Apres le second return\")\n",
    "    return 3\n",
    "    print('Tout à la fin')\n",
    "    \n",
    "res = fonction_normale()\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object fabriquer_un_generateur at 0x7f0808755570>\n"
     ]
    }
   ],
   "source": [
    "def fabriquer_un_generateur():\n",
    "    print('Avant le premier yield')\n",
    "    yield 1\n",
    "    print('Apres le premier yield')\n",
    "    yield 2\n",
    "    print(\"Apres le second yield\")\n",
    "    yield 3\n",
    "    print('Tout à la fin')\n",
    "    \n",
    "res = fabriquer_un_generateur()\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Avant le premier yield\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apres le premier yield\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Apres le second yield\n",
      "3\n",
      "Tout à la fin\n"
     ]
    }
   ],
   "source": [
    "for x in res:\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "import secrets\n",
    "\n",
    "def secret_key_generator(n):\n",
    "    for i in range(n):\n",
    "        yield secrets.token_hex() \n",
    "\n",
    "gen = secret_key_generator(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'9c814af4bceb652403b32d908973ae10c9433e6031a51cb0221f7196c5420aea'"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'6acd1731134c0b8db62f42bab49652c4accf91731dd9e1c00d1fdf2f5ee28f5d'"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n",
      "Miaou !\n"
     ]
    }
   ],
   "source": [
    "import itertools\n",
    "\n",
    "class MachineAtuer:\n",
    "    def __iter__(self):\n",
    "        while True:\n",
    "            yield \"Miaou !\"\n",
    "            \n",
    "for x in itertools.islice(MachineAtuer(), 10):\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Tous les tuyaux mis bouts à bouts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import string\n",
    "from pathlib import Path\n",
    "\n",
    "\n",
    "def lister_mots_cles(dossier, ext):\n",
    "    for chemin in Path(dossier).glob(f'./**/*.{ext}'): # iterable\n",
    "        try:\n",
    "            with open(chemin) as f:\n",
    "                for ligne in f: # iterable\n",
    "                    for mot in ligne.split(): # iterable\n",
    "                        # expression generatrice sur un itérable passée à join... qui attend un itérable\n",
    "                        mot = \"\".join(l for l in mot if l not in string.punctuation).strip()\n",
    "                        if mot:\n",
    "                            # génération de données\n",
    "                            yield mot\n",
    "        except Exception:\n",
    "            pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- the: 2937\n",
      "- alias: 1504\n",
      "- to: 1477\n",
      "- for: 1100\n",
      "- if: 984\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "# Counter accepte un itérable en a paramètre\n",
    "for mot, score in Counter(lister_mots_cles('/etc', 'conf')).most_common(5): # itérable\n",
    "    print(f'- {mot}: {score}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<video width=\"100%\" style=\"margin: auto\" autoplay loop><source src=\"surf.mp4\" type=\"video/mp4\" /></video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%HTML \n",
    "<video width=\"100%\" style=\"margin: auto\" autoplay loop><source src=\"surf.mp4\" type=\"video/mp4\" /></video>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img style=\"margin: auto\" src=\"surf.jpg\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img style=\"margin: auto\" src=\"numpy.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DY0KYNy6ev20vpq3Tcz/syj28sPUEsWFBLMpIsjqUQXHPnBHUt3R49CjF3vctZoEXtxUT\n4CesmOk+0xA628or0qhtbCdHb3hTDig52cx7h6q5feYwrzyJApg5MppxCeE8v+WEx94D5J3/Mi7U\n3N7JaztLWZyZRKyHjfNyOa4cHUt6XCjPbdFykhq4lz4rxibCHbO89yRKRLh7zgj2V5xhl4f25tPE\n4KC1e8ppaOvkrtkjrA5lUNlswso5aeSVnGZPyemL76DUOVo7unhlRzHzJ8STFOk5Iw4PxI1TUwgP\n8uevWz3zREoTgwOMMbyw7QTjE8PJHhFldTiD7ubpqYQF+fNXD+9xoayxIb+CU80d3DMnzepQBl1o\nkD83T08lp6CCmoY2q8O5bJoYHLCn5DT7ys9w5+wRXte7oj9hQf7cODWF9QUVnG5utzoc5WH+uu0E\n6XGhXDHKe+7zuZC754ygo8uwanux1aFcNk0MDnhxWzGhgX7cOLXfeYm80oqZw2jv7OaN3Z7b40K5\nXkFpPXklp7nbR06iAEbFhXHl6FhW7SjxuBneNDEM0Kmmdtbll3PjtBTCgvytDsdlJiVHMjk1klXb\nSzy2x4VyvVU7ignyt3HTtFSrQ3GpFTOHUXa6hU8Ka60O5bJoYhigN3aX0d7ZzZ2zvLvRuT8rZgzn\nUFUDu7URWl2ClvYu1u4pZ0lmEpFDAqwOx6WunZhAVEgAr+zwrHKSJoYBMMbwam4JU1IjmZAUYXU4\nLrc0K5mQQD+PrJ0q18spqKChrZPbZgy7+MZeJsjfj5umpbJ5fxV1jZ7TCK2JYQAKyuo5WNnArdm+\n90GHnkboGyYnsy6vgobWDqvDUW7ulR0lpMWEMGukd42LdKm+OGMYHV3Go9rlnJIYRGShiBwSkUIR\nebif9V8SkRoR2WN/fLXXupUicsT+WOmMeAbbq7klBPnbWJrlfeMiXaoVM4fR0tHF2rxyq0NRbqyo\nppHtx09y24xhPtPofK6xCeFMGz6UVTs8p13O4cQgIn7Ak8AiYCJwu4hM7GfTV4wxWfbH0/Z9o4FH\ngFnATOAREXHrGwJaO7pYs6ecxZlJRAT7Vr20t6xhQxmfGM6q7SVWh6Lc2Ku5pfjZhFt8rNH5XCtm\nDKewutFj7oR2xhXDTKDQGFNkjGkHVgHLLnHf64DNxpiTxphTwGZgoRNiGjRv7a2kobWT23y0jHSW\niLBixjAKyuo5UHHG6nCUG+ro6mb1zlKuHhfv8VN3OmrJ5CRCA/085kTKGYkhBej925bal53rZhHJ\nF5HVInL2W/VS93Ubr+woYXi079ZLe1ualUKAn/DazlKrQ1Fu6P2D1dQ2trHCBxudzxUa5M/SrGTW\n51fQ2NZpdTgX5arG53VAmjFmMj1XBc9f7huIyH0ikisiuTU11kxOX1zXzNaiOm7LTsVm8816aW/R\noYFcPS6eN/eU09nVbXU4ys2s3llKXHgQXxgXZ3UobuGW6am0dHTx1t5Kq0O5KGckhjKg9ylBqn3Z\nPxhj6owxZ/tqPQ1Mv9R9e73HU8aYbGNMdlycNR+01btKEekZM0j1uHl6KrWNbXx0xJpkrdzTyaZ2\n3j9UzfKsZPz9tPMjwLThUYyICeH1Xe5/he2Mf7EdwBgRGSkigcAKYG3vDUSk94wcS4ED9uebgAUi\nEmVvdF5gX+Z2jDG8sbuUK0fHev3IkJfj6nHxRIUE8NpOz+mKpwbf+vxyOrqMz93pfCEiwk1TU9la\nVEfZ6Rarw7kghxODMaYTeICeL/QDwKvGmH0i8qiILLVv9q8isk9E8oB/Bb5k3/ck8P/Rk1x2AI/a\nl7md3BOnKDnZ4lPjIl2KQH8by7JS2Ly/ivpmvadB9XhtVxkTkiJ88gbQC7lpWgrGwJtufk+DU67x\njDE5xpixxphRxpjH7Mt+bIxZa3/+A2PMJGPMFGPM1caYg732/YsxZrT98awz4hkMr+8qY0iAH9dN\nSrQ6FLdzy/RU2ru6WZev9zQoKKxuJK/kNDdP05Oocw2LDmHmyGhe21Xq1vc0aPHvErR2dLE+v5yF\nGYmE+tCAeZdqUnIE4xLCWa29kxTwxu5SbIJP3wB6ITdPS6GopsmtJ7zSxHAJ3jtYTUNrp5aRzkNE\nuHl6CntKTnO0ptHqcJSFursNb+wq4/Nj44gP9+17F85ncWYSQf42Xt/lvuUkTQyX4PVdZcSHBzF3\ndKzVobit5VkpiMAaN6+dqsG17Vgd5fWt2uh8AeHBAVw3KZF1+eW0dXZZHU6/NDFcxMmmdj44VM2y\nrGT89N6F84qPCOaKUTGsySt369qpGlyv7yojPMifBRMTrA7Frd00LYXTzR18cMg9u3lrYriI9fnl\ndHZrt7tLsSwrhRN1zW5dO1WDp9V+89bCjESCA/ysDsetXTk6lpjQQNbucc8OG5oYLuKN3WWMTwzX\nbneXYGFGIoH+Nta46YddDa73DlbT2NbJcm2Luyh/PxvXT07inQNVbjl0vSaGCyiua2Z38WmWZekH\n/VJEBAdwzfj4nqssHSLD56zZU0ZceBCz02OsDsUjLM1Koa2zm7f3VVkdyj/RxHABZ/vl3zAl6SJb\nqrOWZaVQ29jucXPcKsfUt3Tw/qEabpisbXGXatrwoaRGDWGNG85poonhAtbsKSN7RBSpUSFWh+Ix\nrh4fR0Swv9vWTtXg2LSvkvbObr134TKICMuykvnkSA01De417acmhvM4WHmGw1WN+kG/TEH+fizO\nTGLTvkpa2t2zK55yvrV7yhkRE8KU1EirQ/Eoy7JS6Dawwc1GDdDEcB5r95TjZxMWZ2oZ6XItzUqm\nqb2LzQfcr3aqnK/6TCtbjtaybEqyz07fOVBjE3o6trhbOUkTQz+MMazNK2fu6Fhiw4KsDsfjzB4Z\nQ0JEEOvc7MOuBsf6/Aq6jQ6BMVDLspLZXXya4rpmq0P5B00M/dhVfJrSUy0sm6If9IGw2YQlmcl8\neKiGM27YFU8515q8ciYlRzA6PtzqUDzSDfbvmbV57jNqgCaGfqzLKyfI38aCSXr35kBdPyWJ9i73\n7IqnnKe4rpm8ktMs1ZOoAUsZOoTpI6JYn19hdSj/oInhHJ1d3azPr2De+HjCgwOsDsdjTR02lJSh\nQ1jvZo1qyrnOduleMlnb4hxxw+QkDlY2UFjdYHUogCaGf7L92ElqG9v+cXmnBkZEuGFKMp8cqeVU\nU7vV4ahBsj6/gqnDh2qXbgctzkxCBNblucdVg1MSg4gsFJFDIlIoIg/3s/67IrJfRPJF5F0RGdFr\nXZeI7LE/1p67r6uty68gJNCPq8fFWx2Kx7t+chKd3Ya39rn/5Ofq8h2taeRAxRmun6wnUY6Kjwhm\n1sho1ue7xyCUDicGEfEDngQWAROB20Vk4jmb7QayjTGTgdXAr3qtazHGZNkfS7FQZ1c3b+2tYP6E\nBIYE6iBgjpqUHEF6bKj2TvJSG/IrEIEl2qXbKa6fnMzRmiYOVlpfTnLGFcNMoNAYU2SMaQdWAct6\nb2CMed8Yc7Yv1jbALYcq3XK0jlPNHVovdRIR4frJSWwrqqO6odXqcJSTrc8vZ8aIaBIjdUIeZ1iU\nkYifTdziRMoZiSEFKOn1utS+7HzuBTb2eh0sIrkisk1Elp9vJxG5z75dbk3N4IxhviG/grAgf64a\nGzco7++LbpiSTLeBjQVaTvImh6saOFzVyPU6jpjTxIQFccWoGNbnV1heTnJp47OI3AVkA//da/EI\nY0w2cAfwGxEZ1d++xpinjDHZxpjsuDjnf3G3d3bz1r5Krp2YoGPJO9GYhHDGJYRr7yQvsz6vHJvA\nogxNDM50/eQkik82U1BWb2kczkgMZcCwXq9T7cv6EJH5wH8AS40x/xgxyhhTZv9ZBHwATHVCTJft\n08Ja6ls6uF7LSE63ZHISuSdOUVmv5SRvYIxhfX4Fs9NjiAvXkQGc6bpJifjbxPJ7GpyRGHYAY0Rk\npIgEAiuAPr2LRGQq8Cd6kkJ1r+VRIhJkfx4LzAX2OyGmy7Y+v4LwYH+uHKPzOjvb4swkjIGNe92j\nK55yzIGKBopqm7Q30iAYGhLI58bEssHicpLDicEY0wk8AGwCDgCvGmP2icijInK2l9F/A2HA38/p\nljoByBWRPOB94BfGGJcnhrbOLt7eX8l1kxIJ8tcykrONjg9jfGI4OQWaGLzBhoKeASav05EBBsXi\nzCTKTreQV2pdOcnfGW9ijMkBcs5Z9uNez+efZ78tQKYzYnDEx4draWjt1N5Ig2hxZhK/3nyYyvpW\n7cXiwYwx5BRUMic9hhgdYHJQLJiYyA/9CsgpqCBr2FBLYtA7n4Gcggoigv2ZO0rLSIPl7PDlWk7y\nbAcqGjhW26TD0Q+iyJAArhxtbTnJ5xNDW2fPvAELJvVMZK8Gh5aTvENOQYWWkVzA6nKSz38Tflpo\nLyPpGdCgW5KZxI7j2jvJU/WUkSqYnR6tZaRBtmBiIgF+YtmJlM8nhg35lT1lpNFaRhpsiydrOcmT\nHazs6Y2kZaTBFxkSwFwLy0k+nRjaO7vZvL+SaydqGckVRsX1lJM2uNG48+rS5RRUYJOevvZq8J0t\nJ+VbUE7y6W/DTwtrOdPayZLJ+kF3lSWZerObJzLGsKGg56Y2ne7WNa6zl5M2WFBO8unEsKGggvAg\nLSO50iJ7GeItLSd5lIOVDRTVaBnJlawsJ/lsYmjv7OZt+9hIelOb64yOD2NcQjg5e3VQPU+y0V5G\nWpihV9eudLac5Oqxk3w2MWw52lNG0jMg11uUmciO4yd1KG4PkrO3klkjtYzkagsmJuBvE3JcPDqx\nzyaGjQWVhAX587mxWkZytbNjJ23SqwaPcKSqgcLqRhZn6tWCqw0NCWTOqBg27nVtOcknE0NHVzeb\n9lcyf0K8lpEsMCY+jFFxoS4/C1IDk1NQiWhvJMsszkziRF0z+yvOuOyYPpkYPis6yenmjn80hCrX\nEhGWZCbx2bE6ahvbLr6DstTGvRXMGBFNfISOcWWFBRMT8LOJSye78snEkLO3gpBAP52pzUKLMpPo\nNrBpn141uLOjNY0crGxgkZaRLBMTFsTs9GhyClxXTvK5xNDVbdi0t5J54+N1pjYLjU8MZ2RsqE75\n6ebesrcDaW8kay3KSKKotonDVY0uOZ7PJYbtx05S19SuvZEsJiIsykhka1EdJ5varQ5HnUdOQQXT\nhg8lKXKI1aH4tOsmJSKCy8ZOckpiEJGFInJIRApF5OF+1geJyCv29Z+JSFqvdT+wLz8kItc5I54L\n2bi3guAAG18Yp2Ukqy3OTKKr27B5v141uKMTdU3sKz+jJ1FuIC48iJlp0S4bZ8zhxCAifsCTwCJg\nInC7iEw8Z7N7gVPGmNHAE8Av7ftOpGcq0EnAQuAP9vcbFN3dho17K7l6XDwhgU6Zo0g5YFJyBMOj\nQ7R3kpvaqGUkt7I4M4nDVY0UVjcM+rGcccUwEyg0xhQZY9qBVcCyc7ZZBjxvf74auEZExL58lTGm\nzRhzDCi0v9+g2Fl8ipqGNu2N5CZEhEWZiXxaWEt9c4fV4ahzbCyoYHJqJKlRIVaHoui5MfTxW6eQ\n6IKynjMSQwpQ0ut1qX1Zv9vY54iuB2IucV+nySmoINDfxrzx8YN1CHWZFmUk0dlt2HygyupQVC+l\np5rJK63XMpIbiQ8P5pbpqYQFDX61w2Man0XkPhHJFZHcmpqaAb1HV7dh4aREl/xh1aWZkhpJcmSw\nDqrnZs72RlqkZSSf5IxvyDJgWK/XqfZl/W1TKiL+QCRQd4n7AmCMeQp4CiA7O3tAnXkfXZZh2Ryq\nqn895aQkXth6gobWDsKDA6wOSdFzdT0pOYIRMaFWh6Is4Iwrhh3AGBEZKSKB9DQmrz1nm7XASvvz\nW4D3TM839Fpghb3X0khgDLDdCTGdV0/ThnInizMTae/q5r2D1VaHooCK+hZ2FZ/WMpIPczgx2NsM\nHgA2AQeAV40x+0TkURFZat/sGSBGRAqB7wIP2/fdB7wK7AfeAr5pjOlyNCblWaYOiyIhIsiy+W1V\nX1pGUk4pthtjcoCcc5b9uNfzVuDW8+z7GPCYM+JQnslmExZlJPHy9mKa2joJ1TYgS20sqGR8Yjjp\ncWFWh6Is4jGNz8q7LcpIpK2zm/cPaTnJStVnWtlx4iSLMrSM5Ms0MSi3kJ0WTWxYkI6dZLFN+yox\nBp17wcfdkbXFAAAVH0lEQVRpYlBuwc8mLMxI4L2D1bS0azOTVXIKKhkdH8aYhHCrQ1EW0sSg3Mbi\nzCRaOrr4QMtJlqhtbOOzY3Xa6Kw0MSj3MTMtmpjQQHJ0yk9LbNpXSbdBu6kqTQzKffj72VgwKZH3\nDlTR2qHlJFfLKaggPTaU8YlaRvJ1mhiUW1mSmURTexcfHh7YsCdqYOoa29hWdJJFmYl6E6jSxKDc\ny6z0aKJCAtioN7u51Nv7q+jqNlpGUoAmBuVmAvxsLJiYyDsHqrWc5EI5BRWkxYQwMSnC6lCUG9DE\noNzO4slJNLZ18smRWqtD8QmnmtrZcrSORZlJWkZSgCYG5YauGBVD5JAAHTvJRd7eX0lXt2GJlpGU\nnSYG5XZ6ykkJbN5fRVunlpMG24aCSoZHhzApWctIqocmBuWWlkxOoqGtk48PazlpMJ1ubmdLYS2L\ntYyketHEoNzS3NGxRA4JYIOWkwbV2/uq6Ow2OjaS6kMTg3JLAX42rpuUwDv79Wa3wbS+oILh0SFk\npkRaHYpyI5oYlNtaMjm5p5ykvZMGxammdj4trGXJZC0jqb4cSgwiEi0im0XkiP1nVD/bZInIVhHZ\nJyL5IvLFXuueE5FjIrLH/shyJB7lXa4YFcPQkAA25JdbHYpX2rRPeyOp/jl6xfAw8K4xZgzwrv31\nuZqBe4wxk4CFwG9EZGiv9Q8ZY7Lsjz0OxqO8SICfjYWTEtms5aRBsaGggpGxodobSf0TRxPDMuB5\n+/PngeXnbmCMOWyMOWJ/Xg5UA3EOHlf5iMU6dtKgqGtsY8vROpZobyTVD0cTQ4Ix5my3kUog4UIb\ni8hMIBA42mvxY/YS0xMiEuRgPMrLzBkVQ1SI3uzmbG+dLSNN1jKS+mcXTQwi8o6I7O3nsaz3dsYY\nA5gLvE8S8ALwZWNMt33xD4DxwAwgGvj+Bfa/T0RyRSS3pkbPHn1FgJ+NhRk95SSd2c15NuRXkB6n\nQ2yr/l00MRhj5htjMvp5rAGq7F/4Z7/4+516S0QigA3AfxhjtvV67wrTow14Fph5gTieMsZkG2Oy\n4+K0EuVLbpicTHN7F+/rzG5OUdPQxraiOq7XMpI6D0dLSWuBlfbnK4E1524gIoHAG8BfjTGrz1l3\nNqkIPe0Tex2MR3mhWekxxIYFsS5Peyc5w1t7K+g2Pd2BleqPo4nhF8C1InIEmG9/jYhki8jT9m1u\nAz4PfKmfbqkviUgBUADEAj91MB7lhfxswvWTk3jvYDUNrR1Wh+Px1uaVMzYhjHFaRlLn4e/IzsaY\nOuCafpbnAl+1P38RePE8+89z5PjKd9wwJYnnthznnQNV3Dg11epwPFbZ6RZ2HD/Fvy0Ya3Uoyo3p\nnc/KI0wdFkXK0CGsy9PeSY44e7Pg9VpGUhegiUF5BJu9nPTR4RpON7dbHY7HWptXzpTUSNJiQ60O\nRbkxTQzKY9wwJZnObsNbeyutDsUjFdU0srfsDDdM0asFdWGaGJTHmJQcwcjYUNbp2EkDsjavHBE0\nMaiL0sSgPIaIcMPkJLYeraP6TKvV4XgUYwxr88qZNTKahIhgq8NRbk4Tg/IoS7NS6DawLl8boS/H\nvvIzFNU0sXRKitWhKA+giUF5lNHxYWSkRLBmT5nVoXiUdXnl+NuERRk6U5u6OE0MyuMsz0ohv7Se\nozWNVofiEbq7e8pInx8bR1RooNXhKA+giUF5nBumJGMTWLNbrxouxbZjdVTUt3LjVC0jqUujiUF5\nnISIYK4YFcube8rpGdRXXcibu8sIC/Jn/oQLjoqv1D9oYlAeaVlWMsUnm9lVfNrqUNxaa0cXGwsq\nWZiRyJBAP6vDUR5CE4PySAszEgnyt2kj9EW8c6CKhrZObtIykroMmhiURwoPDmD+xATW51fQ0dV9\n8R181Ju7y0iMCGZWeozVoSgPoolBeazlWSmcbGrnI50Pul8nm9r54FANy7KS8bPphDzq0mliUB7r\nqrFxRIcG8vouLSf1Z31+OZ3dhuVaRlKXSROD8liB/jaWZSWzeX+Vjrjajzd2lzE+MZwJSRFWh6I8\njEOJQUSiRWSziByx/4w6z3ZdvWZvW9tr+UgR+UxECkXkFfs0oEpdslump9Le1c1anfazj8LqRnYX\nn+amaXq1oC6fo1cMDwPvGmPGAO/aX/enxRiTZX8s7bX8l8ATxpjRwCngXgfjUT5mUnIkE5IiWL2z\n1OpQ3Mrfd5bgZxOd7U4NiKOJYRnwvP3588DyS91RRASYB6weyP5KnXXL9FTyS+s5VNlgdShuobOr\nm9d3lXH1uHjiwoOsDkd5IEcTQ4Ix5uwwl5XA+W6tDBaRXBHZJiJnv/xjgNPGmE7761LgvNe9InKf\n/T1ya2q0F4r6/y3LSsbfJry2S68aAD48XENNQxu3ZevVghqYiyYGEXlHRPb281jWezvTMzbB+cYn\nGGGMyQbuAH4jIqMuN1BjzFPGmGxjTHZcXNzl7q68WGxYEFePj+f1XWV06j0N/D23lNiwQK4eH291\nKMpDXTQxGGPmG2My+nmsAapEJAnA/rP6PO9RZv9ZBHwATAXqgKEi4m/fLBXQfodqQG6ZnkptYxsf\nHfHtq8m6xjbeOVDFjVNTCPDTTodqYBz95KwFVtqfrwTWnLuBiESJSJD9eSwwF9hvv8J4H7jlQvsr\ndSmuHhdPdGggr+wosToUS725p+fehVuzh1kdivJgjiaGXwDXisgRYL79NSKSLSJP27eZAOSKSB49\nieAXxpj99nXfB74rIoX0tDk842A8ykcF+tu4ZXoq7x6o9tlpP40x/D23hCnDhjI2IdzqcJQHcygx\nGGPqjDHXGGPG2EtOJ+3Lc40xX7U/32KMyTTGTLH/fKbX/kXGmJnGmNHGmFuNMW2O/TrKl62YMYzO\nbsPffbTran5pPQcrG7h1ujY6K8doEVJ5jfS4MGanR7NqRzHd3b43T8NLn50gJNCPZVnJVoeiPJwm\nBuVVbp85nJKTLXxSWGt1KC5V39LB2rxylmWlEB4cYHU4ysNpYlBeZWFGIlEhAby8vdjqUFzqjV2l\ntHZ0c+es4VaHoryAJgblVYL8/bhleiqb91dR3eAbjdDGGF76rJgpqZFkpERaHY7yApoYlNdZMXM4\nnd3GZ8ZP2nH8FEeqG7lz1girQ1FeQhOD8jqj7I3Qf/usmC4faIR+6bMThAf7c/2UJKtDUV5CE4Py\nSvfMSaP0VAvvHqiyOpRBVdfYxsaCSm6elkpIoP/Fd1DqEmhiUF5pwcQEkiODeW7LcatDGVSv5JbQ\n3tXNHdrorJxIE4PySv5+Nu6ek8aWo3UcrDxjdTiDoqOrm79uOcHc0TF6p7NyKk0MymutmDGM4AAb\nz3vpVUNOQQWVZ1q598qRVoeivIwmBuW1okIDuXFqCq/vKuNUk3fNCW2M4ZlPjpEeF8oXxurw2sq5\nNDEor7byijTaOrtZ5WWjruaeOEV+aT1fnjsSm02sDkd5GU0MyquNT4zgilExvLD1OB1eNInPMx8f\nI3JIADdPO++kh0oNmCYG5fW+Mnck5fWtrM8vtzoUpyg52czb+yu5Y9Zw7aKqBoUmBuX15o2PZ1xC\nOH94/6hXjLr67KfHsYmwck6a1aEoL6WJQXk9m034xtWjOFLdyDsefsNbbWMbf9t+gqVZySRGBlsd\njvJSDiUGEYkWkc0icsT+M6qfba4WkT29Hq0isty+7jkROdZrXZYj8Sh1PksykxgeHcKTHxylZ1ZZ\nz/T0x8do6+zmm1ePtjoU5cUcvWJ4GHjXGDMGeNf+ug9jzPvGmCxjTBYwD2gG3u61yUNn1xtj9jgY\nj1L98vezcf9V6eSVnGbr0TqrwxmQU03tvLD1ONdPTmZUXJjV4Sgv5mhiWAY8b3/+PLD8ItvfAmw0\nxjQ7eFylLtvN01KJCw/iyQ8KrQ5lQJ799BhN7V08oFcLapA5mhgSjDEV9ueVQMJFtl8BvHzOssdE\nJF9EnhCRoPPtKCL3iUiuiOTW1NQ4ELLyVcEBfnztcyP5tLCOXcWnrA7nspxp7eDZLcdZOCmRcYk6\n/IUaXBdNDCLyjojs7eexrPd2pqdwe97irYgkAZnApl6LfwCMB2YA0cD3z7e/MeYpY0y2MSY7Li7u\nYmEr1a87Z40gJjSQ/37rkEe1Nfx1y3EaWjt5YJ5eLajBd9HEYIyZb4zJ6OexBqiyf+Gf/eKvvsBb\n3Qa8YYzp6PXeFaZHG/AsMNOxX0epCwsN8ueBeaPZWlTHx0c8Y17o+uYO/vzxMeaNj9cZ2pRLOFpK\nWgustD9fCay5wLa3c04ZqVdSEXraJ/Y6GI9SF3XHrOGkDB3CrzYd9Ij7Gp78oJAzrR08dN04q0NR\nPsLRxPAL4FoROQLMt79GRLJF5OmzG4lIGjAM+PCc/V8SkQKgAIgFfupgPEpdVJC/H9+9dix7y86Q\ns7fi4jtYqORkM899epybp6UyISnC6nCUj3DofnpjTB1wTT/Lc4Gv9np9HPinQV2MMfMcOb5SA7V8\nagpPfVTE45sOcd2kRAL83PNez8ffPoTNBt9bMNbqUJQPcc//DUoNMj+b8NB14zhe18yq7cVWh9Ov\n/NLTrNlTzr1XjiQpcojV4SgfoolB+axrJsQza2Q0j799mNrGNqvD6cMYw89zDhIdGsj9V42yOhzl\nYzQxKJ8lIvx0eQZNbZ38POeg1eH0sS6/gq1FdXx7/hgiggOsDkf5GE0MyqeNSQjnvs+n89quUrYV\nucdQGaea2vmvtfuYkhrJnbNGWB2O8kGaGJTPe3DeGFKjhvCjN/fS3mn9ZD6P5RygvqWDn980GT+d\nnU1ZQBOD8nlDAv34r6WTKKxu5M8fF1kayydHalm9s5T7r0pnYrJ2T1XW0MSgFHDNhAQWZSTy23eO\nsLes3pIYWtq7+MEb+aTHhvLgvDGWxKAUaGJQ6h9+dmMm0aGBPPjybhrbOl1+/EfW7qXkZAs/uymT\n4AA/lx9fqbM0MShlFxUayG9XZHGirokfv+na0Vle2VHMq7mlPDhvNLPTY1x6bKXOpYlBqV5mpcfw\nrWvG8vruMl7bWeqSY+4tq+c/1+zjytGxfHu+3uGsrKeJQalzPDBvNLNGRvOjN/cO+rwNp5vb+fqL\nO4mxX61oLyTlDjQxKHUOP5vwv3dMIz4iiC8/u4PDVQ2Dcpzm9k7ue2EnVWdaefLOacSEnXeeKqVc\nShODUv2ICw/ixXtnEeRv4+5nPqPkpHNno21p7+Irz+0g9/hJ/ue2LKYNj3Lq+yvlCE0MSp3HsOgQ\n/nrvTFrau7j7mc8oPeWc5NDS3sW9z+9g+7GT/Pq2LJZOSXbK+yrlLJoYlLqA8YkRPPvlmdQ1trP0\nfz9lS6Fjs75V1Lew8i/b2VpUx+O3TmH51H8ajV4pyzmUGETkVhHZJyLdIpJ9ge0WisghESkUkYd7\nLR8pIp/Zl78iIoGOxKPUYJg+Ioo1D8wlJjSQu575jKc+Ojqg+aI37atk0W8/Zm95Pb/5YhY3TUsd\nhGiVcpyjVwx7gZuAj863gYj4AU8Ci4CJwO0iMtG++pfAE8aY0cAp4F4H41FqUKTHhfHGN+eyMCOR\nn+Uc5Nb/28rHR2ouKUEU1zXz/dX53P/CToZFhbD+wStZlqVXCsp9OTqD2wHoGb74AmYChcaYIvu2\nq4BlInIAmAfcYd/ueeAnwB8diUmpwRIW5M+Td0zj5e0l/P69I9z9zHamDh/KHTOHk5ESyej4MAL8\nbHR3G2oa29hbVs9LnxXz/qFqbCLcf1U637t2HIH+WsFV7s2hxHCJUoCSXq9LgVlADHDaGNPZa7me\nRim3JiLcMWs4N09PYfXOUv7w/lEeWp0PQKC/jbiwIKobWuno6rmSiA0L4sGrR3P7rOE6C5vyGBdN\nDCLyDpDYz6r/MMascX5I543jPuA+gOHDh7vqsEr1K8jfjztnjWDFjOEcq21kX/kZ9pefoaahjcTI\nYJKGDmF4dAhz0mP0CkF5nIsmBmPMfAePUQYM6/U61b6sDhgqIv72q4azy88Xx1PAUwDZ2dmX3/Kn\n1CDwswmj48MZHR+u7QbKa7jiVGYHMMbeAykQWAGsNT2tdu8Dt9i3Wwm47ApEKaVU/xztrnqjiJQC\nc4ANIrLJvjxZRHIA7FcDDwCbgAPAq8aYffa3+D7wXREppKfN4RlH4lFKKeU4GUh/bKtlZ2eb3Nxc\nq8NQSimPIiI7jTHnvefsLG0VU0op1YcmBqWUUn1oYlBKKdWHJgallFJ9aGJQSinVh0f2ShKRGuDE\nAHePBRwbO9nz6d9A/wa+/vuDb/4NRhhj4i62kUcmBkeISO6ldNfyZvo30L+Br//+oH+DC9FSklJK\nqT40MSillOrDFxPDU1YH4Ab0b6B/A1///UH/Buflc20MSimlLswXrxiUUkpdgE8lBhFZKCKHRKRQ\nRB62Oh5XEpFhIvK+iOwXkX0i8i2rY7KKiPiJyG4RWW91LFYQkaEislpEDorIARGZY3VMriYi37H/\nP9grIi+LSLDVMbkTn0kMIuIHPAksAiYCt4vIRGujcqlO4HvGmInAbOCbPvb79/YteoaA91W/Bd4y\nxowHpuBjfwsRSQH+Fcg2xmQAfvTME6PsfCYxADOBQmNMkTGmHVgFLLM4JpcxxlQYY3bZnzfQ82Xg\nc1OOiUgqsAR42upYrCAikcDnsc99YoxpN8actjYqS/gDQ0TEHwgByi2Ox634UmJIAUp6vS7FB78Y\nAUQkDZgKfGZtJJb4DfDvQLfVgVhkJFADPGsvpz0tIqFWB+VKxpgy4HGgGKgA6o0xb1sblXvxpcSg\nABEJA14Dvm2MOWN1PK4kItcD1caYnVbHYiF/YBrwR2PMVKAJ8LX2tih6qgUjgWQgVETusjYq9+JL\niaEMGNbrdap9mc8QkQB6ksJLxpjXrY7HAnOBpSJynJ5S4jwRedHakFyuFCg1xpy9WlxNT6LwJfOB\nY8aYGmNMB/A6cIXFMbkVX0oMO4AxIjJSRALpaWxaa3FMLiMiQk9d+YAx5tdWx2MFY8wPjDGpxpg0\nev793zPG+NSZojGmEigRkXH2RdcA+y0MyQrFwGwRCbH/v7gGH2uAvxh/qwNwFWNMp4g8AGyipxfC\nX4wx+ywOy5XmAncDBSKyx77sh8aYHAtjUtZ4EHjJfoJUBHzZ4nhcyhjzmYisBnbR01tvN3oXdB96\n57NSSqk+fKmUpJRS6hJoYlBKKdWHJgallFJ9aGJQSinVhyYGpZRSfWhiUEop1YcmBqWUUn1oYlBK\nKdXH/wMx3clddjjO9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0808754518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np # ou scipy, pandas, etc\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.arange(0, 3 * np.pi, 0.1)\n",
    "y = np.sin(x)\n",
    "\n",
    "plt.plot(x, y)\n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23.4 µs ± 491 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
      "2.5 µs ± 36.7 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "x = np.arange(0, 3 * np.pi, 0.1)\n",
    "\n",
    "%timeit [math.sin(i) for i in x]\n",
    "%timeit np.sin(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Il y a un \"one more thing\" pour ça"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "def crieur():\n",
    "    while True:\n",
    "        res = yield\n",
    "        print(res.upper(), '!')\n",
    "        \n",
    "gen = crieur()\n",
    "next(gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LES INTERDICTIONS !\n",
      "LES LISTES !\n",
      "LES INTERDICTIONS !\n",
      "LES REPETITIONS !\n",
      "LES METS !\n",
      "LES BLAGUES FACILES !\n"
     ]
    }
   ],
   "source": [
    "interdits = [\n",
    "    'les interdictions', \n",
    "    'les listes', \n",
    "    'les interdictions', \n",
    "    'les repetitions', \n",
    "    'les mets',\n",
    "    'les blagues faciles'\n",
    "]\n",
    "\n",
    "for x in interdits:\n",
    "    gen.send(x) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "<h1 style=\"text-align: center !important\">Télécharger les slides</h1>\n",
    "\n",
    "\n",
    "<p style=\"text-align: center !important\">\n",
    "https://huit.re/philo-iteration-fr\n",
    "</p>\n",
    "\n",
    "\n",
    "<h1><img style=\"margin: auto\" src=\"qr-code.png\"></h1>\n",
    "\n",
    "<p  style=\"text-align: center !important\">kevin@formationspython.com</p>\n"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "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": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}