Source code for nest.tests.test_connect_symmetric_pairwise_bernoulli

# -*- coding: utf-8 -*-
#
# test_connect_symmetric_pairwise_bernoulli.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# NEST is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with NEST.  If not, see <http://www.gnu.org/licenses/>.


import collections
import numpy as np
import unittest
import scipy.stats
from . import test_connect_helpers as hf
from .test_connect_parameters import TestParams


[docs]class TestSymmetricPairwiseBernoulli(TestParams): # sizes of source-, target-population and connection probability for # statistical test N_s = 60 N_t = 60 # specify connection pattern and specific params rule = 'symmetric_pairwise_bernoulli' p = 0.5 conn_dict = {'rule': rule, 'p': p, 'multapses': True, 'autapses': False, 'make_symmetric': True} # Critical values and number of iterations of two level test stat_dict = {'alpha2': 0.05, 'n_runs': 20}
[docs] def testStatistics(self): for fan in ['in', 'out']: expected = hf.get_expected_degrees_bernoulli( self.p, fan, self.N_s, self.N_t) pvalues = [] for i in range(self.stat_dict['n_runs']): hf.reset_seed(i, self.nr_threads) self.setUpNetwork(conn_dict=self.conn_dict, N1=self.N_s, N2=self.N_t) degrees = hf.get_degrees(fan, self.pop1, self.pop2) degrees = hf.gather_data(degrees) # degrees = self.comm.gather(degrees, root=0) # if self.rank == 0: if degrees is not None: chi, p = hf.chi_squared_check(degrees, expected, self.rule) pvalues.append(p) hf.mpi_barrier() if degrees is not None: ks, p = scipy.stats.kstest(pvalues, 'uniform') self.assertTrue(p > self.stat_dict['alpha2'])
[docs] def testAutapsesTrue(self): conn_params = self.conn_dict.copy() conn_params['autapses'] = True N = 10 # test that autapses are not permitted pop = hf.nest.Create('iaf_psc_alpha', N) with self.assertRaises(hf.nest.NESTError): hf.nest.Connect(pop, pop, conn_params)
[docs] def testAutapsesFalse(self): conn_params = self.conn_dict.copy() N = 10 # test that autapses were excluded conn_params['p'] = 1. - 1. / N conn_params['autapses'] = False pop = hf.nest.Create('iaf_psc_alpha', N) hf.nest.Connect(pop, pop, conn_params) M = hf.get_connectivity_matrix(pop, pop) hf.mpi_assert(np.diag(M), np.zeros(N), self)
[docs] def testMultapses(self): conn_params = self.conn_dict.copy() conn_params['multapses'] = False N = 10 # test that multapses must be permitted hf.nest.ResetKernel() pop = hf.nest.Create('iaf_psc_alpha', N) with self.assertRaises(hf.nest.NESTError): hf.nest.Connect(pop, pop, conn_params) # test that multapses can only arise from symmetric # connectivity conn_params['p'] = 1. - 1. / N conn_params['multapses'] = True hf.nest.ResetKernel() pop = hf.nest.Create('iaf_psc_alpha', N) hf.nest.Connect(pop, pop, conn_params) conn_dict = collections.defaultdict(int) for conn in hf.nest.GetConnections(): key = tuple(conn[:2]) conn_dict[key] += 1 self.assertTrue(conn_dict[key] <= 2)
[docs] def testMakeSymmetric(self): conn_params = self.conn_dict.copy() N = 100 # test that make_symmetric must be enabled conn_params['make_symmetric'] = False hf.nest.ResetKernel() pop = hf.nest.Create('iaf_psc_alpha', N) with self.assertRaises(hf.nest.NESTError): hf.nest.Connect(pop, pop, conn_params) # test that all connections are symmetric conn_params['make_symmetric'] = True hf.nest.ResetKernel() pop = hf.nest.Create('iaf_psc_alpha', N) hf.nest.Connect(pop, pop, conn_params) conns = set() for conn in hf.nest.GetConnections(): key = tuple(conn[:2]) conns.add(key) for conn in hf.nest.GetConnections(): key = tuple(conn[:2]) self.assertTrue(key[::-1] in conns)
[docs]def suite(): suite = unittest.TestLoader().loadTestsFromTestCase( TestSymmetricPairwiseBernoulli) return suite
[docs]def run(): runner = unittest.TextTestRunner(verbosity=2) runner.run(suite())
if __name__ == '__main__': run()