def test_fanofactor_spiketrains(self):
# Test with list of spiketrains
self.assertEqual(np.var(self.sp_counts) / np.mean(self.sp_counts), es.fanofactor(self.test_spiketrains))
# One spiketrain in list
st = self.test_spiketrains[0]
self.assertEqual(es.fanofactor([st]), 0.0)
def test_fanofactor_spiketrains(self):
# Test with list of spiketrains
self.assertEqual(
np.var(self.sp_counts) / np.mean(self.sp_counts),
es.fanofactor(self.test_spiketrains))
# One spiketrain in list
st = self.test_spiketrains[0]
self.assertEqual(es.fanofactor([st]), 0.0)
def test_fanofactor_empty(self):
# Test with empty list
self.assertTrue(np.isnan(es.fanofactor([])))
self.assertTrue(np.isnan(es.fanofactor([[]])))
# Test with empty quantity
self.assertTrue(np.isnan(es.fanofactor([] * pq.ms)))
# Empty spiketrain
st = neo.core.SpikeTrain([] * pq.ms, t_start=0 * pq.ms, t_stop=1.5 * pq.ms)
self.assertTrue(np.isnan(es.fanofactor(st)))
def test_fanofactor_empty(self):
# Test with empty list
self.assertTrue(np.isnan(es.fanofactor([])))
self.assertTrue(np.isnan(es.fanofactor([[]])))
# Test with empty quantity
self.assertTrue(np.isnan(es.fanofactor([] * pq.ms)))
# Empty spiketrain
st = neo.core.SpikeTrain([] * pq.ms, t_start=0 * pq.ms,
t_stop=1.5 * pq.ms)
self.assertTrue(np.isnan(es.fanofactor(st)))
def test_fanofactor_quantity_same(self):
lst = [self.test_quantity[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def test_fanofactor_quantity(self):
self.assertEqual(es.fanofactor(self.test_quantity),
np.var(self.sp_counts) / np.mean(self.sp_counts))
def test_fanofactor_array_same(self):
lst = [self.test_array[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def test_fanofactor_spiketrains_same(self):
# Test with same spiketrains in list
sts = [self.test_spiketrains[0]] * 3
self.assertEqual(es.fanofactor(sts), 0.0)
def test_fanofactor_list(self):
self.assertEqual(es.fanofactor(self.test_list),
np.var(self.sp_counts) / np.mean(self.sp_counts))
def test_fanofactor_quantity_same(self):
lst = [self.test_quantity[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def test_fanofactor_quantity(self):
self.assertEqual(es.fanofactor(self.test_quantity),
np.var(self.sp_counts) / np.mean(self.sp_counts))
def test_fanofactor_array_same(self):
lst = [self.test_array[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def test_fanofactor_spiketrains_same(self):
# Test with same spiketrains in list
sts = [self.test_spiketrains[0]] * 3
self.assertEqual(es.fanofactor(sts), 0.0)
def test_fanofactor_array(self):
self.assertEqual(statistics.fanofactor(self.test_array),
np.var(self.sp_counts) / np.mean(self.sp_counts))
def test_fanofactor_list(self):
self.assertEqual(es.fanofactor(self.test_list),
np.var(self.sp_counts) / np.mean(self.sp_counts))
def test_fanofactor_list_same(self):
lst = [self.test_list[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def test_fanofactor_list_same(self):
lst = [self.test_list[0]] * 3
self.assertEqual(es.fanofactor(lst), 0.0)
def statistic_fanofactor(self, spiketrains):
"""
get parameter and call function in statistic
"""
fanofactor(spiketrains)
