Source code for nest.tests.test_connect_pairwise_bernoulli
# -*- coding: utf-8 -*-
#
# test_connect_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 numpy as np
import unittest
import scipy.stats
from . import test_connect_helpers as hf
from .test_connect_parameters import TestParams
[docs]class TestPairwiseBernoulli(TestParams):
# specify connection pattern and specific params
rule = 'pairwise_bernoulli'
p = 0.5
conn_dict = {'rule': rule, 'p': p}
# sizes of source-, target-population and connection probability for
# statistical test
N_s = 50
N_t = 50
# 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()
N = 10
conn_params['multapses'] = False
# test that autapses exist
conn_params['p'] = 1.
conn_params['autapses'] = True
pop = hf.nest.Create('iaf_psc_alpha', N)
hf.nest.Connect(pop, pop, conn_params)
# make sure all connections do exist
M = hf.get_connectivity_matrix(pop, pop)
hf.mpi_assert(np.diag(M), np.ones(N), self)
[docs] def testAutapsesFalse(self):
conn_params = self.conn_dict.copy()
N = 10
conn_params['multapses'] = False
# test that autapses were excluded
conn_params['p'] = 1.
conn_params['autapses'] = False
pop = hf.nest.Create('iaf_psc_alpha', N)
hf.nest.Connect(pop, pop, conn_params)
# make sure all connections do exist
M = hf.get_connectivity_matrix(pop, pop)
hf.mpi_assert(np.diag(M), np.zeros(N), self)
[docs]def suite():
suite = unittest.TestLoader().loadTestsFromTestCase(TestPairwiseBernoulli)
return suite
[docs]def run():
runner = unittest.TextTestRunner(verbosity=2)
runner.run(suite())
if __name__ == '__main__':
run()