/usr/lib/python2.7/dist-packages/neo/test/test_unit.py is in python-neo 0.3.3-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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"""
Tests of the neo.core.unit.Unit class
"""
try:
import unittest2 as unittest
except ImportError:
import unittest
import numpy as np
import quantities as pq
from neo.core.unit import Unit
from neo.core.spiketrain import SpikeTrain
from neo.core.spike import Spike
from neo.test.tools import assert_neo_object_is_compliant, assert_arrays_equal
from neo.io.tools import create_many_to_one_relationship
class TestUnit(unittest.TestCase):
def setUp(self):
self.setup_spikes()
self.setup_spiketrains()
self.setup_units()
def setup_units(self):
params = {'testarg2': 'yes', 'testarg3': True}
self.unit1 = Unit(name='test', description='tester 1',
file_origin='test.file', channels_indexes=[1],
testarg1=1, **params)
self.unit2 = Unit(name='test', description='tester 2',
file_origin='test.file', channels_indexes=[2],
testarg1=1, **params)
self.unit1.annotate(testarg1=1.1, testarg0=[1, 2, 3])
self.unit2.annotate(testarg11=1.1, testarg10=[1, 2, 3])
self.unit1.spiketrains = self.train1
self.unit2.spiketrains = self.train2
self.unit1.spikes = self.spike1
self.unit2.spikes = self.spike2
create_many_to_one_relationship(self.unit1)
create_many_to_one_relationship(self.unit2)
def setup_spikes(self):
spikename11 = 'spike 1 1'
spikename12 = 'spike 1 2'
spikename21 = 'spike 2 1'
spikename22 = 'spike 2 2'
spikedata11 = 10 * pq.ms
spikedata12 = 20 * pq.ms
spikedata21 = 30 * pq.s
spikedata22 = 40 * pq.s
self.spikenames1 = [spikename11, spikename12]
self.spikenames2 = [spikename21, spikename22]
self.spikenames = [spikename11, spikename12, spikename21, spikename22]
spike11 = Spike(spikedata11, t_stop=100*pq.s, name=spikename11)
spike12 = Spike(spikedata12, t_stop=100*pq.s, name=spikename12)
spike21 = Spike(spikedata21, t_stop=100*pq.s, name=spikename21)
spike22 = Spike(spikedata22, t_stop=100*pq.s, name=spikename22)
self.spike1 = [spike11, spike12]
self.spike2 = [spike21, spike22]
self.spike = [spike11, spike12, spike21, spike22]
def setup_spiketrains(self):
trainname11 = 'spiketrain 1 1'
trainname12 = 'spiketrain 1 2'
trainname21 = 'spiketrain 2 1'
trainname22 = 'spiketrain 2 2'
traindata11 = np.arange(0, 10) * pq.ms
traindata12 = np.arange(10, 20) * pq.ms
traindata21 = np.arange(20, 30) * pq.s
traindata22 = np.arange(30, 40) * pq.s
self.trainnames1 = [trainname11, trainname12]
self.trainnames2 = [trainname21, trainname22]
self.trainnames = [trainname11, trainname12, trainname21, trainname22]
train11 = SpikeTrain(traindata11, t_stop=100*pq.s, name=trainname11)
train12 = SpikeTrain(traindata12, t_stop=100*pq.s, name=trainname12)
train21 = SpikeTrain(traindata21, t_stop=100*pq.s, name=trainname21)
train22 = SpikeTrain(traindata22, t_stop=100*pq.s, name=trainname22)
self.train1 = [train11, train12]
self.train2 = [train21, train22]
self.train = [train11, train12, train21, train22]
def test_unit_creation(self):
assert_neo_object_is_compliant(self.unit1)
assert_neo_object_is_compliant(self.unit2)
self.assertEqual(self.unit1.name, 'test')
self.assertEqual(self.unit2.name, 'test')
self.assertEqual(self.unit1.description, 'tester 1')
self.assertEqual(self.unit2.description, 'tester 2')
self.assertEqual(self.unit1.file_origin, 'test.file')
self.assertEqual(self.unit2.file_origin, 'test.file')
self.assertEqual(self.unit1.annotations['testarg0'], [1, 2, 3])
self.assertEqual(self.unit2.annotations['testarg10'], [1, 2, 3])
self.assertEqual(self.unit1.annotations['testarg1'], 1.1)
self.assertEqual(self.unit2.annotations['testarg1'], 1)
self.assertEqual(self.unit2.annotations['testarg11'], 1.1)
self.assertEqual(self.unit1.annotations['testarg2'], 'yes')
self.assertEqual(self.unit2.annotations['testarg2'], 'yes')
self.assertTrue(self.unit1.annotations['testarg3'])
self.assertTrue(self.unit2.annotations['testarg3'])
self.assertTrue(hasattr(self.unit1, 'spikes'))
self.assertTrue(hasattr(self.unit2, 'spikes'))
self.assertEqual(len(self.unit1.spikes), 2)
self.assertEqual(len(self.unit2.spikes), 2)
for res, targ in zip(self.unit1.spikes, self.spike1):
self.assertEqual(res, targ)
self.assertEqual(res.name, targ.name)
for res, targ in zip(self.unit2.spikes, self.spike2):
self.assertEqual(res, targ)
self.assertEqual(res.name, targ.name)
self.assertTrue(hasattr(self.unit1, 'spiketrains'))
self.assertTrue(hasattr(self.unit2, 'spiketrains'))
self.assertEqual(len(self.unit1.spiketrains), 2)
self.assertEqual(len(self.unit2.spiketrains), 2)
for res, targ in zip(self.unit1.spiketrains, self.train1):
assert_arrays_equal(res, targ)
self.assertEqual(res.name, targ.name)
for res, targ in zip(self.unit2.spiketrains, self.train2):
assert_arrays_equal(res, targ)
self.assertEqual(res.name, targ.name)
def test_unit_merge(self):
self.unit1.merge(self.unit2)
spikeres1 = [sig.name for sig in self.unit1.spikes]
spikeres2 = [sig.name for sig in self.unit2.spikes]
trainres1 = [sig.name for sig in self.unit1.spiketrains]
trainres2 = [sig.name for sig in self.unit2.spiketrains]
self.assertEqual(spikeres1, self.spikenames)
self.assertEqual(spikeres2, self.spikenames2)
self.assertEqual(trainres1, self.trainnames)
self.assertEqual(trainres2, self.trainnames2)
for res, targ in zip(self.unit1.spikes, self.spike):
self.assertEqual(res, targ)
for res, targ in zip(self.unit2.spikes, self.spike2):
self.assertEqual(res, targ)
for res, targ in zip(self.unit1.spiketrains, self.train):
assert_arrays_equal(res, targ)
for res, targ in zip(self.unit2.spiketrains, self.train2):
assert_arrays_equal(res, targ)
if __name__ == "__main__":
unittest.main()
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