tda-networks/sociopatterns.ipynb
2018-07-26 11:12:24 +01:00

871 lines
46 KiB
Text

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# SocioPatterns"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"import igraph as ig\n",
"import dionysus as d"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"plt.style.use(\"fivethirtyeight\")\n",
"plt.rcParams[\"figure.figsize\"] = 10, 6"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Data import"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"g = ig.read(\"data/sociopatterns/infectious/infectious.graphml\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'IGRAPH UN-- 10972 415912 -- \\n+ attr: id (v), name (v), id (e), time (e)'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g.summary()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"76944"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(np.unique(g.es[\"time\"]))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(12, 11), (10, 9), (0, 2), (3, 4), (5, 8), (6, 7), (1, 2, 8)]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"edges = g.es.select(time_eq=1240916059)\n",
"g.subgraph_edges(edges).maximal_cliques()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cliques = []\n",
"for t in np.unique(g.es[\"time\"]):\n",
" edges = g.es.select(time_eq=t)\n",
" cliques.append(g.subgraph_edges(edges).maximal_cliques())"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"maxcliques = g.maximal_cliques()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def filt_subgraph(t):\n",
" edges = g.es.select(time_eq=t)\n",
" cliques = g.subgraph_edges(edges).maximal_cliques()\n",
" return d.Filtration(cliques)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"times = np.sort(np.unique(g.es[\"time\"]))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"import multiprocessing"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Process ForkPoolWorker-73:\n",
"Process ForkPoolWorker-89:\n",
"Process ForkPoolWorker-90:\n",
"Process ForkPoolWorker-72:\n",
"Process ForkPoolWorker-78:\n",
"Process ForkPoolWorker-79:\n",
"Process ForkPoolWorker-67:\n",
"Process ForkPoolWorker-76:\n",
"Process ForkPoolWorker-81:\n",
"Process ForkPoolWorker-70:\n",
"Process ForkPoolWorker-95:\n",
"Process ForkPoolWorker-68:\n",
"Process ForkPoolWorker-71:\n",
"Process ForkPoolWorker-94:\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"Process ForkPoolWorker-66:\n",
"Process ForkPoolWorker-91:\n",
"Process ForkPoolWorker-65:\n",
"Process ForkPoolWorker-75:\n",
"Process ForkPoolWorker-74:\n",
"Process ForkPoolWorker-96:\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Process ForkPoolWorker-80:\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Process ForkPoolWorker-92:\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"Traceback (most recent call last):\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3849, in select\n",
" es = es.select(filtered_idxs)\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3753, in select\n",
" es = _igraph.EdgeSeq.select(self, *args)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Process ForkPoolWorker-88:\n",
"KeyboardInterrupt\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"Process ForkPoolWorker-93:\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"KeyboardInterrupt\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3849, in select\n",
" es = es.select(filtered_idxs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"Traceback (most recent call last):\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3849, in select\n",
" es = es.select(filtered_idxs)\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-29-64fed6fd3c57>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mpool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmultiprocessing\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocesses\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmultiprocessing\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcpu_count\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mcliques\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclique_subgraph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/lib/python3.5/multiprocessing/pool.py\u001b[0m in \u001b[0;36mmap\u001b[0;34m(self, func, iterable, chunksize)\u001b[0m\n\u001b[1;32m 258\u001b[0m \u001b[0;32min\u001b[0m \u001b[0ma\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mthat\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mreturned\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 259\u001b[0m '''\n\u001b[0;32m--> 260\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_map_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmapstar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 261\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 262\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstarmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mchunksize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.5/multiprocessing/pool.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 600\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 601\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 602\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 603\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mready\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 604\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mTimeoutError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.5/multiprocessing/pool.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 597\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 598\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 599\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_event\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 600\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 601\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.5/threading.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 547\u001b[0m \u001b[0msignaled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_flag\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 548\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msignaled\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m \u001b[0msignaled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cond\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 550\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0msignaled\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 551\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.5/threading.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 291\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# restore state no matter what (e.g., KeyboardInterrupt)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 292\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 293\u001b[0;31m \u001b[0mwaiter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 294\u001b[0m \u001b[0mgotit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 295\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"Process ForkPoolWorker-77:\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in <listcomp>\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3753, in select\n",
" es = _igraph.EdgeSeq.select(self, *args)\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3753, in select\n",
" es = _igraph.EdgeSeq.select(self, *args)\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"Traceback (most recent call last):\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3841, in select\n",
" values = es[attr]\n",
"Process ForkPoolWorker-84:\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in <listcomp>\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
"KeyboardInterrupt\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"Process ForkPoolWorker-69:\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"Process ForkPoolWorker-86:\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"KeyboardInterrupt\n",
"KeyboardInterrupt\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3841, in select\n",
" values = es[attr]\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
"Process ForkPoolWorker-85:\n",
"Process ForkPoolWorker-82:\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"Process ForkPoolWorker-83:\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
"KeyboardInterrupt\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
"Traceback (most recent call last):\n",
"KeyboardInterrupt\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"Process ForkPoolWorker-87:\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
"Traceback (most recent call last):\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/usr/lib/python3.5/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 119, in worker\n",
" result = (True, func(*args, **kwds))\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in <listcomp>\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
"KeyboardInterrupt\n",
" File \"/usr/lib/python3.5/multiprocessing/pool.py\", line 44, in mapstar\n",
" return list(map(*args))\n",
"KeyboardInterrupt\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
" File \"<ipython-input-13-fb9f2dd39ce0>\", line 2, in clique_subgraph\n",
" return g.subgraph_edges(g.es.select(time_eq=t)).maximal_cliques()\n",
"KeyboardInterrupt\n",
"KeyboardInterrupt\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3846, in select\n",
" filtered_idxs=[i for i, v in enumerate(values) \\\n",
" File \"/home/lozeve/.local/share/virtualenvs/tda-networks--KypeAmE/lib/python3.5/site-packages/igraph/__init__.py\", line 3847, in <listcomp>\n",
" if func(v, value)]\n",
"KeyboardInterrupt\n"
]
}
],
"source": [
"pool = multiprocessing.Pool(processes=multiprocessing.cpu_count())\n",
"cliques = pool.map(clique_subgraph, times)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"pool.terminate()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"maxcliques = g.subgraph_edges(g.es.select(time_lt=times[30])).maximal_cliques()\n",
"filts = [filt_subgraph(t) for t in times[1:30]]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<3,4,11> 0\n",
"<7,9,10> 0\n",
"<7,8,10> 0\n",
"<5,6,7,8> 0\n",
"<4,8> 0\n",
"<3,5> 0\n",
"<0,1,2> 0\n"
]
}
],
"source": [
"maxfilt = d.Filtration(maxcliques)\n",
"for s in maxfilt:\n",
" print(s)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"presences = [[s in filt for filt in filts] for s in maxfilt]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[False,\n",
" False,\n",
" False,\n",
" True,\n",
" False,\n",
" False,\n",
" True,\n",
" False,\n",
" False,\n",
" False,\n",
" True,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" True,\n",
" False,\n",
" True,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False,\n",
" False]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"presences[-1]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[[], [], [], [], [], [], [2, 3, 5, 6, 9, 10, 17, 18, 19, 20]]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[np.argwhere(np.array(p)[1:] ^ np.array(p)[:-1]).flatten().tolist() for p in presences]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}