cleaned notebooks
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didier amyot committed
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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@@ -23,62 +23,41 @@
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" pp_network,\n",
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" turn_off_antenna,\n",
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" turn_on_antenna)\n",
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"from network.gibbs import get_random_networks, estimate_number_of_activated_antenna\n",
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"from numpy import mean\n",
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"from random import Random\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"random = Random(666)\n",
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"\n",
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"def create_new_network(network, box_size):\n",
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" number_of_square = box_size * box_size\n",
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" for antenna in range(number_of_square):\n",
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" if can_antenna_be_turned_on(antenna, network, box_size) and random.choice([True, False]):\n",
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" network = turn_on_antenna(antenna, network)\n",
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" else:\n",
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" network = turn_off_antenna(antenna, network)\n",
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" return network\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"random = Random()\n",
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"antennas = []\n",
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"box_size = 8\n",
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"n = 15000\n",
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"\n",
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"valid_networks = [0]\n",
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"\n",
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"for random_antenna in range(n):\n",
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" network = valid_networks[-1]\n",
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" new_network = create_new_network(network, box_size)\n",
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" valid_networks.append(new_network)"
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"N = 500\n",
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"for _, network in zip(range(N), get_random_networks(box_size, random)):\n",
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" antennas.append(get_number_of_activated_antenna(network))\n",
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" \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<matplotlib.figure.Figure at 0x7f6ffacf3f60>"
|
||||
"<matplotlib.figure.Figure at 0x7f88746b0208>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -86,142 +65,9 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"hist(list(map(get_number_of_activated_antenna, valid_networks)), bins=100)\n",
|
||||
"None"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"15.072261849210053"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"mean(list(map(get_number_of_activated_antenna, valid_networks)))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"□-■-□-□-■\n",
|
||||
"□-□-■-□-□\n",
|
||||
"□-□-□-□-□\n",
|
||||
"□-■-□-■-□\n",
|
||||
"■-□-□-□-■\n",
|
||||
"\n",
|
||||
"□-□-□-□-■\n",
|
||||
"□-□-□-■-□\n",
|
||||
"■-□-■-□-■\n",
|
||||
"□-□-□-□-□\n",
|
||||
"■-□-■-□-□\n",
|
||||
"\n",
|
||||
"□-□-■-□-□\n",
|
||||
"□-■-□-□-□\n",
|
||||
"□-□-■-□-■\n",
|
||||
"□-□-□-■-□\n",
|
||||
"■-□-□-□-□\n",
|
||||
"\n",
|
||||
"□-□-□-□-□\n",
|
||||
"□-□-□-□-□\n",
|
||||
"■-□-■-□-■\n",
|
||||
"□-□-□-■-□\n",
|
||||
"□-□-■-□-■\n",
|
||||
"\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-□-□-■-□\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-■-□-■-□\n",
|
||||
"■-□-□-□-■\n",
|
||||
"\n",
|
||||
"□-■-□-□-■\n",
|
||||
"□-□-□-□-□\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-■-□-■-□\n",
|
||||
"■-□-■-□-□\n",
|
||||
"\n",
|
||||
"□-□-□-□-■\n",
|
||||
"□-□-□-□-□\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-■-□-□-□\n",
|
||||
"□-□-□-□-□\n",
|
||||
"\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-■-□-□-□\n",
|
||||
"□-□-■-□-■\n",
|
||||
"□-■-□-■-□\n",
|
||||
"□-□-□-□-■\n",
|
||||
"\n",
|
||||
"□-□-□-■-□\n",
|
||||
"□-■-□-□-□\n",
|
||||
"■-□-□-□-■\n",
|
||||
"□-□-□-□-□\n",
|
||||
"□-■-□-□-■\n",
|
||||
"\n",
|
||||
"■-□-□-□-□\n",
|
||||
"□-■-□-■-□\n",
|
||||
"■-□-■-□-■\n",
|
||||
"□-□-□-■-□\n",
|
||||
"□-□-□-□-□\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"for network in valid_networks[-10:]:\n",
|
||||
" print(pp_network(network, box_size))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "ValueError",
|
||||
"evalue": "Cannot take a larger sample than population when 'replace=False'",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32m<ipython-input-14-e2f587eeb987>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mrandom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchoice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m111\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreplace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[1;32mmtrand.pyx\u001b[0m in \u001b[0;36mmtrand.RandomState.choice (numpy/random/mtrand/mtrand.c:11010)\u001b[1;34m()\u001b[0m\n",
|
||||
"\u001b[1;31mValueError\u001b[0m: Cannot take a larger sample than population when 'replace=False'"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"random.choice([1,2,3,4], 111, replace=False)"
|
||||
"hist(antennas, bins=100)\n",
|
||||
"title(\"Estimation de la distribution du nombre \\n d'antennes allumées dans un réseau\")\n",
|
||||
"savefig(\"/home/didier/Downloads/gibbs.png\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in new issue
Block a user