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simulationexam/fuck_me.ipynb
T
2015-12-20 13:43:45 -05:00

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{
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{
"cell_type": "markdown",
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"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"
]
}
],
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"display_name": "Python 3",
"language": "python",
"name": "python3"
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"file_extension": ".py",
"mimetype": "text/x-python",
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"nbconvert_exporter": "python",
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