First commit

fuck_me.ipynb

@@ -0,0 +1,112 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#  algorithme\n",
+    "\n",
+    "\n",
+    "1.  Posons $X^{(0)}$ un reseau quelconque.\n",
+    "\n",
+    "2.  copie $X^{(0)}$ dans $X^{(1)}$\n",
+    "\n",
+    "3.  pour change antenne dans $X^{(1)}$\n",
+    "    \n",
+    "    1. si `antenne` peut etre allume et $U(0, 1) < 0.5$\n",
+    "        1. On allume `antenne` dans $X^{(1)}$ \n",
+    "    2. sinon\n",
+    "        1. On eteint `antenne` dans $X^{(1)}$ "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Populating the interactive namespace from numpy and matplotlib\n"
+     ]
+    }
+   ],
+   "source": [
+    "%pylab inline\n",
+    "from network.network import (is_valid_network,\n",
+    "                             get_number_of_activated_antenna,\n",
+    "                             pp_network,\n",
+    "                             switch_antenna_in_network,\n",
+    "                             turn_off_antenna,\n",
+    "                             can_antenna_be_turned_on,\n",
+    "                             turn_on_antenna)\n",
+    "from numpy import mean\n",
+    "from random import Random\n",
+    "from itertools import cycle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "random = Random(666)\n",
+    "\n",
+    "def get_all_antennas(box_size):\n",
+    "    return range(box_size * box_size)\n",
+    "    \n",
+    "def get_new_network_with_gibbs(network, box_size):\n",
+    "    for antenna in get_all_antennas(box_size):\n",
+    "        if can_antenna_be_turned_on(antenna, network, box_size) and random.choice([True, False]):\n",
+    "            network = turn_on_antenna(antenna, network, box_size)\n",
+    "        else:\n",
+    "            network = turn_off_antenna(antenna, network)\n",
+    "    return network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "networks = [0]\n",
+    "box_size = 5\n",
+    "\n",
+    "for i in range(100):\n",
+    "    last_network = networks[-1]\n",
+    "    networks.append(get_new_network_with_gibbs(last_network, box_size))\n",
+    "\n"
+   ]
+  }
+ ],
+ "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": "3.4.3+"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}