First commit

play_around.ipynb

@@ -0,0 +1,220 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from network.gibbs import *\n",
+    "from network.network import pp_network, can_antenna_be_turned_on\n",
+    "from collections import defaultdict\n",
+    "from random import Random\n",
+    "from numpy import matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "mc = defaultdict(dict)\n",
+    "random = Random(66)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "prec_network = 0\n",
+    "\n",
+    "for i, network in zip(range(10**5), get_random_networks(2, random)):\n",
+    "    if network not in mc[prec_network]:\n",
+    "        mc[prec_network][network] = 0\n",
+    "    mc[prec_network][network] += 1\n",
+    "    prec_network = network"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "defaultdict(dict,\n",
+       "            {0: {0: 964, 1: 3671, 2: 1844, 4: 1759, 6: 1835, 8: 938, 9: 3387},\n",
+       "             1: {0: 891, 1: 3646, 2: 1832, 4: 1839, 6: 1729, 8: 938, 9: 3663},\n",
+       "             2: {0: 1810, 2: 3548, 4: 3517, 6: 3611, 8: 1811},\n",
+       "             4: {0: 1779, 2: 3519, 4: 3490, 6: 3486, 8: 1796},\n",
+       "             6: {0: 1885, 2: 3554, 4: 3465, 6: 3475, 8: 1757},\n",
+       "             8: {0: 3633, 1: 3553, 8: 3654, 9: 3572},\n",
+       "             9: {0: 3436, 1: 3668, 8: 3518, 9: 3527}})"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "def get_prob(from_, to):\n",
+    "    return mc[from_][to]/ sum(mc[from_].values())\n",
+    "\n",
+    "def get_matrix(mc):\n",
+    "    n = len(mc)\n",
+    "    mat = [[] for i in range(n)]\n",
+    "    for i, from_ in enumerate(mc):\n",
+    "        for j in enumerate(mc):\n",
+    "            pass\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "for key in mc:\n",
+    "    print(key)\n",
+    "    print( pp_network(key, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "□-□\n",
+      "■-□\n",
+      "\n",
+      "1 True\n"
+     ]
+    }
+   ],
+   "source": [
+    "ant = 1\n",
+    "print(get_prob(0, 2))\n",
+    "print(ant, can_antenna_be_turned_on(ant, 4, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "0.5**4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "m = matrix([[1, 2], [3, 4]])\n",
+    "v = matrix([[1, 3]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from numpy import std"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42.73458667121028"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "std([1432, 1376, 1461, 1436, 1436, 1363, 1496])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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
+}