def check_creation(self, chx):
assert_neo_object_is_compliant(chx)
seed = chx.annotations['seed']
# for i, unit in enumerate(chx.units):
# for sigarr in chx.analogsignals:
# self.assertEqual(unit.channel_indexes[0],
# sigarr.channel_index[i])
targ2 = get_fake_value('name', str, seed=seed + 4, obj=ChannelIndex)
self.assertEqual(chx.name, targ2)
targ3 = get_fake_value('description',
str,
seed=seed + 5,
obj=ChannelIndex)
self.assertEqual(chx.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(chx.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(chx.annotations, targ5)
self.assertTrue(hasattr(chx, 'units'))
self.assertTrue(hasattr(chx, 'analogsignals'))
self.assertEqual(len(chx.units), self.nchildren)
self.assertEqual(len(chx.analogsignals), self.nchildren)
def check_creation(self, rcg):
assert_neo_object_is_compliant(rcg)
seed = rcg.annotations['seed']
for i, rchan in enumerate(rcg.recordingchannels):
self.assertEqual(rchan.name, rcg.channel_names[i].astype(str))
self.assertEqual(rchan.index, rcg.channel_indexes[i])
for i, unit in enumerate(rcg.units):
for sigarr in rcg.analogsignalarrays:
self.assertEqual(unit.channel_indexes[0],
sigarr.channel_index[i])
targ2 = get_fake_value('name', str, seed=seed+2,
obj=RecordingChannelGroup)
self.assertEqual(rcg.name, targ2)
targ3 = get_fake_value('description', str,
seed=seed+3, obj=RecordingChannelGroup)
self.assertEqual(rcg.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(rcg.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(rcg.annotations, targ5)
self.assertTrue(hasattr(rcg, 'recordingchannels'))
self.assertTrue(hasattr(rcg, 'units'))
self.assertTrue(hasattr(rcg, 'analogsignalarrays'))
self.assertEqual(len(rcg.recordingchannels), self.nchildren)
self.assertEqual(len(rcg.units), self.nchildren)
self.assertEqual(len(rcg.analogsignalarrays), self.nchildren)
def check_creation(self, unit):
assert_neo_object_is_compliant(unit)
seed = unit.annotations['seed']
targ0 = get_fake_value('channel_indexes', np.ndarray, dim=1, dtype='i',
seed=seed+0)
assert_arrays_equal(unit.channel_indexes, targ0)
targ1 = get_fake_value('name', str, seed=seed+1, obj=Unit)
self.assertEqual(unit.name, targ1)
targ2 = get_fake_value('description', str,
seed=seed+2, obj=Unit)
self.assertEqual(unit.description, targ2)
targ3 = get_fake_value('file_origin', str)
self.assertEqual(unit.file_origin, targ3)
targ4 = get_annotations()
targ4['seed'] = seed
self.assertEqual(unit.annotations, targ4)
self.assertTrue(hasattr(unit, 'spikes'))
self.assertTrue(hasattr(unit, 'spiketrains'))
self.assertEqual(len(unit.spikes), self.nchildren)
self.assertEqual(len(unit.spiketrains), self.nchildren)
def check_creation(self, chx):
assert_neo_object_is_compliant(chx)
seed = chx.annotations['seed']
# for i, unit in enumerate(chx.units):
# for sigarr in chx.analogsignals:
# self.assertEqual(unit.channel_indexes[0],
# sigarr.channel_index[i])
targ2 = get_fake_value('name', str, seed=seed+4,
obj=ChannelIndex)
self.assertEqual(chx.name, targ2)
targ3 = get_fake_value('description', str,
seed=seed+5, obj=ChannelIndex)
self.assertEqual(chx.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(chx.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(chx.annotations, targ5)
self.assertTrue(hasattr(chx, 'units'))
self.assertTrue(hasattr(chx, 'analogsignals'))
self.assertEqual(len(chx.units), self.nchildren)
self.assertEqual(len(chx.analogsignals), self.nchildren)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
labels = get_fake_value('labels', np.ndarray, seed=1, dim=1, dtype='S')
name = get_fake_value('name', str, seed=2, obj=Event)
description = get_fake_value('description', str, seed=3, obj='Event')
file_origin = get_fake_value('file_origin', str)
attrs1 = {
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Event, annotate=False, seed=0)
res12 = get_fake_values('Event', annotate=False, seed=0)
res21 = get_fake_values(Event, annotate=True, seed=0)
res22 = get_fake_values('Event', annotate=True, seed=0)
assert_arrays_equal(res11.pop('times'), times)
assert_arrays_equal(res12.pop('times'), times)
assert_arrays_equal(res21.pop('times'), times)
assert_arrays_equal(res22.pop('times'), times)
assert_arrays_equal(res11.pop('labels'), labels)
assert_arrays_equal(res12.pop('labels'), labels)
assert_arrays_equal(res21.pop('labels'), labels)
assert_arrays_equal(res22.pop('labels'), labels)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations['seed'] = 0
index = get_fake_value('index', int, seed=0)
coordinate = get_fake_value('coordinate', pq.Quantity, seed=1, dim=1)
name = get_fake_value('name', str, seed=2, obj=RecordingChannel)
description = get_fake_value('description',
str,
seed=3,
obj='RecordingChannel')
file_origin = get_fake_value('file_origin', str)
attrs1 = {
'index': index,
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(RecordingChannel, annotate=False, seed=0)
res12 = get_fake_values('RecordingChannel', annotate=False, seed=0)
res21 = get_fake_values(RecordingChannel, annotate=True, seed=0)
res22 = get_fake_values('RecordingChannel', annotate=True, seed=0)
assert_arrays_equal(res11.pop('coordinate'), coordinate)
assert_arrays_equal(res12.pop('coordinate'), coordinate)
assert_arrays_equal(res21.pop('coordinate'), coordinate)
assert_arrays_equal(res22.pop('coordinate'), coordinate)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
labels = get_fake_value('labels', np.ndarray, seed=1, dim=1, dtype='S')
name = get_fake_value('name', str, seed=2, obj=Event)
description = get_fake_value('description', str,
seed=3, obj='Event')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Event, annotate=False, seed=0)
res12 = get_fake_values('Event', annotate=False, seed=0)
res21 = get_fake_values(Event, annotate=True, seed=0)
res22 = get_fake_values('Event', annotate=True, seed=0)
assert_arrays_equal(res11.pop('times'), times)
assert_arrays_equal(res12.pop('times'), times)
assert_arrays_equal(res21.pop('times'), times)
assert_arrays_equal(res22.pop('times'), times)
assert_arrays_equal(res11.pop('labels'), labels)
assert_arrays_equal(res12.pop('labels'), labels)
assert_arrays_equal(res21.pop('labels'), labels)
assert_arrays_equal(res22.pop('labels'), labels)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations["seed"] = 0
time = get_fake_value("time", pq.Quantity, seed=0, dim=0)
label = get_fake_value("label", str, seed=1)
name = get_fake_value("name", str, seed=2, obj=Event)
description = get_fake_value("description", str, seed=3, obj="Event")
file_origin = get_fake_value("file_origin", str)
attrs1 = {"label": label, "name": name, "description": description, "file_origin": file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Event, annotate=False, seed=0)
res12 = get_fake_values("Event", annotate=False, seed=0)
res21 = get_fake_values(Event, annotate=True, seed=0)
res22 = get_fake_values("Event", annotate=True, seed=0)
assert_arrays_equal(res11.pop("time"), time)
assert_arrays_equal(res12.pop("time"), time)
assert_arrays_equal(res21.pop("time"), time)
assert_arrays_equal(res22.pop("time"), time)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations['seed'] = 0
channel_indexes = get_fake_value('channel_indexes', np.ndarray, seed=0,
dim=1, dtype='i')
name = get_fake_value('name', str, seed=1, obj=Unit)
description = get_fake_value('description', str, seed=2, obj='Unit')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Unit, annotate=False, seed=0)
res12 = get_fake_values('Unit', annotate=False, seed=0)
res21 = get_fake_values(Unit, annotate=True, seed=0)
res22 = get_fake_values('Unit', annotate=True, seed=0)
assert_arrays_equal(res11.pop('channel_indexes'), channel_indexes)
assert_arrays_equal(res12.pop('channel_indexes'), channel_indexes)
assert_arrays_equal(res21.pop('channel_indexes'), channel_indexes)
assert_arrays_equal(res22.pop('channel_indexes'), channel_indexes)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations['seed'] = 0
index = get_fake_value('index', int, seed=0)
coordinate = get_fake_value('coordinate', pq.Quantity, seed=1, dim=1)
name = get_fake_value('name', str, seed=2, obj=RecordingChannel)
description = get_fake_value('description', str, seed=3,
obj='RecordingChannel')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'index': index,
'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(RecordingChannel, annotate=False, seed=0)
res12 = get_fake_values('RecordingChannel', annotate=False, seed=0)
res21 = get_fake_values(RecordingChannel, annotate=True, seed=0)
res22 = get_fake_values('RecordingChannel', annotate=True, seed=0)
assert_arrays_equal(res11.pop('coordinate'), coordinate)
assert_arrays_equal(res12.pop('coordinate'), coordinate)
assert_arrays_equal(res21.pop('coordinate'), coordinate)
assert_arrays_equal(res22.pop('coordinate'), coordinate)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def check_creation(self, rchan):
assert_neo_object_is_compliant(rchan)
seed = rchan.annotations['seed']
targ0 = get_fake_value('index', int, seed=seed+0, obj=RecordingChannel)
self.assertEqual(rchan.index, targ0)
targ1 = get_fake_value('coordinate', pq.Quantity, dim=1, seed=seed+1)
assert_arrays_equal(rchan.coordinate, targ1)
targ2 = get_fake_value('name', str, seed=seed+2, obj=RecordingChannel)
self.assertEqual(rchan.name, targ2)
targ3 = get_fake_value('description', str,
seed=seed+3, obj=RecordingChannel)
self.assertEqual(rchan.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(rchan.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(rchan.annotations, targ5)
self.assertTrue(hasattr(rchan, 'analogsignals'))
self.assertTrue(hasattr(rchan, 'irregularlysampledsignals'))
self.assertEqual(len(rchan.analogsignals), self.nchildren)
self.assertEqual(len(rchan.irregularlysampledsignals), self.nchildren)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
signal = get_fake_value('signal', pq.Quantity, seed=1, dim=2)
name = get_fake_value('name',
str,
seed=2,
obj=IrregularlySampledSignal)
description = get_fake_value('description',
str,
seed=3,
obj='IrregularlySampledSignal')
file_origin = get_fake_value('file_origin', str)
attrs1 = {
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(IrregularlySampledSignal,
annotate=False,
seed=0)
res12 = get_fake_values('IrregularlySampledSignal',
annotate=False,
seed=0)
res21 = get_fake_values(IrregularlySampledSignal,
annotate=True,
seed=0)
res22 = get_fake_values('IrregularlySampledSignal',
annotate=True,
seed=0)
assert_array_equal(res11.pop('times'), times)
assert_array_equal(res12.pop('times'), times)
assert_array_equal(res21.pop('times'), times)
assert_array_equal(res22.pop('times'), times)
assert_array_equal(res11.pop('signal'), signal)
assert_array_equal(res12.pop('signal'), signal)
assert_array_equal(res21.pop('signal'), signal)
assert_array_equal(res22.pop('signal'), signal)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__float(self):
name = 'test__float'
datatype = float
targ = 1000. * np.random.random()
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, float))
self.assertEqual(targ, res)
def test__int(self):
name = 'test__int'
datatype = int
targ = np.random.randint(100)
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, int))
self.assertEqual(targ, res)
def test__float(self):
name = 'test__float'
datatype = float
targ = 1000. * np.random.random()
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, float))
self.assertEqual(targ, res)
def test__datetime(self):
name = 'test__datetime'
datatype = datetime
targ = datetime.fromtimestamp(1000000000 * np.random.random())
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, datetime))
self.assertEqual(res, targ)
def test__str(self):
name = 'test__str'
datatype = str
targ = str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
def test__int(self):
name = 'test__int'
datatype = int
targ = np.random.randint(100)
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, int))
self.assertEqual(targ, res)
def test__datetime(self):
name = 'test__datetime'
datatype = datetime
targ = datetime.fromtimestamp(1000000000 * np.random.random())
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, datetime))
self.assertEqual(res, targ)
def test__str(self):
name = 'test__str'
datatype = str
targ = str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
def test__file_origin(self):
name = 'file_origin'
datatype = str
targ = 'test_file.txt'
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__file_origin(self):
name = 'file_origin'
datatype = str
targ = 'test_file.txt'
res = get_fake_value(name, datatype, seed=0)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__get_fake_values(self):
self.annotations['seed'] = 0
signal = get_fake_value('signal', pq.Quantity, seed=0, dim=2)
sampling_rate = get_fake_value('sampling_rate',
pq.Quantity,
seed=1,
dim=0)
t_start = get_fake_value('t_start', pq.Quantity, seed=2, dim=0)
channel_index = get_fake_value('channel_index',
np.ndarray,
seed=3,
dim=1,
dtype='i')
name = get_fake_value('name', str, seed=4, obj=AnalogSignalArray)
description = get_fake_value('description',
str,
seed=5,
obj='AnalogSignalArray')
file_origin = get_fake_value('file_origin', str)
attrs1 = {
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(AnalogSignalArray, annotate=False, seed=0)
res12 = get_fake_values('AnalogSignalArray', annotate=False, seed=0)
res21 = get_fake_values(AnalogSignalArray, annotate=True, seed=0)
res22 = get_fake_values('AnalogSignalArray', annotate=True, seed=0)
assert_arrays_equal(res11.pop('signal'), signal)
assert_arrays_equal(res12.pop('signal'), signal)
assert_arrays_equal(res21.pop('signal'), signal)
assert_arrays_equal(res22.pop('signal'), signal)
assert_arrays_equal(res11.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res12.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res21.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res22.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res11.pop('t_start'), t_start)
assert_arrays_equal(res12.pop('t_start'), t_start)
assert_arrays_equal(res21.pop('t_start'), t_start)
assert_arrays_equal(res22.pop('t_start'), t_start)
assert_arrays_equal(res11.pop('channel_index'), channel_index)
assert_arrays_equal(res12.pop('channel_index'), channel_index)
assert_arrays_equal(res21.pop('channel_index'), channel_index)
assert_arrays_equal(res22.pop('channel_index'), channel_index)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__sampling_rate(self):
name = 'sampling_rate'
datatype = pq.Quantity
targ = 10000.0 * pq.Hz
res = get_fake_value(name, datatype)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, pq.Hz)
assert_arrays_equal(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__t_stop(self):
name = 't_stop'
datatype = pq.Quantity
targ = 1.0 * pq.millisecond
res = get_fake_value(name, datatype)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, pq.millisecond)
assert_arrays_equal(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def check_creation(self, unit):
assert_neo_object_is_compliant(unit)
seed = unit.annotations['seed']
targ1 = get_fake_value('name', str, seed=seed, obj=Unit)
self.assertEqual(unit.name, targ1)
targ2 = get_fake_value('description', str, seed=seed + 1, obj=Unit)
self.assertEqual(unit.description, targ2)
targ3 = get_fake_value('file_origin', str)
self.assertEqual(unit.file_origin, targ3)
targ4 = get_annotations()
targ4['seed'] = seed
self.assertEqual(unit.annotations, targ4)
self.assertTrue(hasattr(unit, 'spiketrains'))
self.assertEqual(len(unit.spiketrains), self.nchildren)
def test__name(self):
name = 'name'
datatype = str
obj = 'Block'
targ = 'Block' + str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0, obj=obj)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__description(self):
name = 'description'
datatype = str
obj = Segment
targ = 'test Segment ' + str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0, obj=obj)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__sampling_rate(self):
name = 'sampling_rate'
datatype = pq.Quantity
targ = 10000.0 * pq.Hz
res = get_fake_value(name, datatype)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, pq.Hz)
assert_arrays_equal(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__t_stop(self):
name = 't_stop'
datatype = pq.Quantity
targ = 1.0 * pq.millisecond
res = get_fake_value(name, datatype)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, pq.millisecond)
assert_arrays_equal(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__description(self):
name = 'description'
datatype = str
obj = Segment
targ = 'test Segment ' + str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0, obj=obj)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def test__get_fake_values(self):
self.annotations['seed'] = 0
name = get_fake_value('name', str, seed=0, obj=Unit)
description = get_fake_value('description', str, seed=1, obj='Unit')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Unit, annotate=False, seed=0)
res12 = get_fake_values('Unit', annotate=False, seed=0)
res21 = get_fake_values(Unit, annotate=True, seed=0)
res22 = get_fake_values('Unit', annotate=True, seed=0)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__name(self):
name = 'name'
datatype = str
obj = 'Block'
targ = 'Block' + str(np.random.randint(100000))
res = get_fake_value(name, datatype, seed=0, obj=obj)
self.assertTrue(isinstance(res, str))
self.assertEqual(targ, res)
self.assertRaises(ValueError, get_fake_value, name, datatype, dim=1)
self.assertRaises(ValueError, get_fake_value, name, np.ndarray)
def check_creation(self, blk):
assert_neo_object_is_compliant(blk)
seed = blk.annotations['seed']
targ0 = get_fake_value('file_datetime', datetime, seed=seed+0)
self.assertEqual(blk.file_datetime, targ0)
targ1 = get_fake_value('rec_datetime', datetime, seed=seed+1)
self.assertEqual(blk.rec_datetime, targ1)
targ2 = get_fake_value('index', int, seed=seed+2, obj=Block)
self.assertEqual(blk.index, targ2)
targ3 = get_fake_value('name', str, seed=seed+3, obj=Block)
self.assertEqual(blk.name, targ3)
targ4 = get_fake_value('description', str, seed=seed+4, obj=Block)
self.assertEqual(blk.description, targ4)
targ5 = get_fake_value('file_origin', str)
self.assertEqual(blk.file_origin, targ5)
targ6 = get_annotations()
targ6['seed'] = seed
self.assertEqual(blk.annotations, targ6)
self.assertTrue(hasattr(blk, 'channel_indexes'))
self.assertTrue(hasattr(blk, 'segments'))
self.assertEqual(len(blk.channel_indexes), self.nchildren)
self.assertEqual(len(blk.segments), self.nchildren)
def test__get_fake_values(self):
self.annotations['seed'] = 0
file_datetime = get_fake_value('file_datetime', datetime, seed=0)
rec_datetime = get_fake_value('rec_datetime', datetime, seed=1)
index = get_fake_value('index', int, seed=2)
name = get_fake_value('name', str, seed=3, obj=Block)
description = get_fake_value('description', str, seed=4, obj='Block')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'file_datetime': file_datetime,
'rec_datetime': rec_datetime,
'index': index,
'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Block, annotate=False, seed=0)
res12 = get_fake_values('Block', annotate=False, seed=0)
res21 = get_fake_values(Block, annotate=True, seed=0)
res22 = get_fake_values('Block', annotate=True, seed=0)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__get_fake_values(self):
self.annotations['seed'] = 0
file_datetime = get_fake_value('file_datetime', datetime, seed=0)
rec_datetime = get_fake_value('rec_datetime', datetime, seed=1)
index = get_fake_value('index', int, seed=2)
name = get_fake_value('name', str, seed=3, obj=Segment)
description = get_fake_value('description', str, seed=4, obj='Segment')
file_origin = get_fake_value('file_origin', str)
attrs1 = {
'file_datetime': file_datetime,
'rec_datetime': rec_datetime,
'index': index,
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Segment, annotate=False, seed=0)
res12 = get_fake_values('Segment', annotate=False, seed=0)
res21 = get_fake_values(Segment, annotate=True, seed=0)
res22 = get_fake_values('Segment', annotate=True, seed=0)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def check_creation(self, blk):
assert_neo_object_is_compliant(blk)
seed = blk.annotations['seed']
targ0 = get_fake_value('file_datetime', datetime, seed=seed + 0)
self.assertEqual(blk.file_datetime, targ0)
targ1 = get_fake_value('rec_datetime', datetime, seed=seed + 1)
self.assertEqual(blk.rec_datetime, targ1)
targ2 = get_fake_value('index', int, seed=seed + 2, obj=Block)
self.assertEqual(blk.index, targ2)
targ3 = get_fake_value('name', str, seed=seed + 3, obj=Block)
self.assertEqual(blk.name, targ3)
targ4 = get_fake_value('description', str, seed=seed + 4, obj=Block)
self.assertEqual(blk.description, targ4)
targ5 = get_fake_value('file_origin', str)
self.assertEqual(blk.file_origin, targ5)
targ6 = get_annotations()
targ6['seed'] = seed
self.assertEqual(blk.annotations, targ6)
self.assertTrue(hasattr(blk, 'channel_indexes'))
self.assertTrue(hasattr(blk, 'segments'))
self.assertEqual(len(blk.channel_indexes), self.nchildren)
self.assertEqual(len(blk.segments), self.nchildren)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
durations = get_fake_value('durations', pq.Quantity, seed=1, dim=1)
labels = get_fake_value('labels', np.ndarray, seed=2, dim=1, dtype='U')
name = get_fake_value('name', str, seed=3, obj=Epoch)
description = get_fake_value('description', str, seed=4, obj='Epoch')
file_origin = get_fake_value('file_origin', str)
arr_ann = get_fake_value('array_annotations',
dict,
seed=6,
obj=Epoch,
n=5)
attrs1 = {
'name': name,
'description': description,
'file_origin': file_origin
}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
attrs2['array_annotations'] = arr_ann
res11 = get_fake_values(Epoch, annotate=False, seed=0)
res12 = get_fake_values('Epoch', annotate=False, seed=0)
res21 = get_fake_values(Epoch, annotate=True, seed=0)
res22 = get_fake_values('Epoch', annotate=True, seed=0)
assert_arrays_equal(res11.pop('times'), times)
assert_arrays_equal(res12.pop('times'), times)
assert_arrays_equal(res21.pop('times'), times)
assert_arrays_equal(res22.pop('times'), times)
assert_arrays_equal(res11.pop('durations'), durations)
assert_arrays_equal(res12.pop('durations'), durations)
assert_arrays_equal(res21.pop('durations'), durations)
assert_arrays_equal(res22.pop('durations'), durations)
assert_arrays_equal(res11.pop('labels'), labels)
assert_arrays_equal(res12.pop('labels'), labels)
assert_arrays_equal(res21.pop('labels'), labels)
assert_arrays_equal(res22.pop('labels'), labels)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
# Array annotations need to be compared separately
# because numpy arrays define equality differently
arr_ann_res21 = res21.pop('array_annotations')
arr_ann_attrs2 = attrs2.pop('array_annotations')
self.assertEqual(res21, attrs2)
assert_arrays_equal(arr_ann_res21['valid'], arr_ann_attrs2['valid'])
assert_arrays_equal(arr_ann_res21['number'], arr_ann_attrs2['number'])
arr_ann_res22 = res22.pop('array_annotations')
self.assertEqual(res22, attrs2)
assert_arrays_equal(arr_ann_res22['valid'], arr_ann_attrs2['valid'])
assert_arrays_equal(arr_ann_res22['number'], arr_ann_attrs2['number'])
def test__get_fake_values(self):
self.annotations['seed'] = 0
time = get_fake_value('time', pq.Quantity, seed=0, dim=0)
duration = get_fake_value('duration', pq.Quantity, seed=1)
label = get_fake_value('label', str, seed=2)
name = get_fake_value('name', str, seed=3, obj=Epoch)
description = get_fake_value('description', str, seed=4, obj='Epoch')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'label': label,
'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(Epoch, annotate=False, seed=0)
res12 = get_fake_values('Epoch', annotate=False, seed=0)
res21 = get_fake_values(Epoch, annotate=True, seed=0)
res22 = get_fake_values('Epoch', annotate=True, seed=0)
assert_arrays_equal(res11.pop('time'), time)
assert_arrays_equal(res12.pop('time'), time)
assert_arrays_equal(res21.pop('time'), time)
assert_arrays_equal(res22.pop('time'), time)
assert_arrays_equal(res11.pop('duration'), duration)
assert_arrays_equal(res12.pop('duration'), duration)
assert_arrays_equal(res21.pop('duration'), duration)
assert_arrays_equal(res22.pop('duration'), duration)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__ndarray(self):
name = 'test__ndarray'
datatype = np.ndarray
dim = 2
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = np.random.random(size) * 1000
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, np.ndarray))
assert_arrays_equal(targ, res)
def test__list(self):
name = 'test__list'
datatype = list
dim = 2
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = (np.random.random(size) * 1000).tolist()
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, list))
self.assertEqual(targ, res)
def test__ndarray(self):
name = 'test__ndarray'
datatype = np.ndarray
dim = 2
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = np.random.random(size) * 1000
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, np.ndarray))
assert_arrays_equal(targ, res)
def test__list(self):
name = 'test__list'
datatype = list
dim = 2
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = (np.random.random(size) * 1000).tolist()
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, list))
self.assertEqual(targ, res)
def check_creation(self, unit):
assert_neo_object_is_compliant(unit)
seed = unit.annotations['seed']
targ1 = get_fake_value('name', str, seed=seed, obj=Unit)
self.assertEqual(unit.name, targ1)
targ2 = get_fake_value('description', str,
seed=seed + 1, obj=Unit)
self.assertEqual(unit.description, targ2)
targ3 = get_fake_value('file_origin', str)
self.assertEqual(unit.file_origin, targ3)
targ4 = get_annotations()
targ4['seed'] = seed
self.assertEqual(unit.annotations, targ4)
self.assertTrue(hasattr(unit, 'spiketrains'))
self.assertEqual(len(unit.spiketrains), self.nchildren)
def check_creation(self, rcg):
assert_neo_object_is_compliant(rcg)
seed = rcg.annotations['seed']
for i, rchan in enumerate(rcg.recordingchannels):
self.assertEqual(rchan.name, rcg.channel_names[i].astype(str))
self.assertEqual(rchan.index, rcg.channel_indexes[i])
for i, unit in enumerate(rcg.units):
for sigarr in rcg.analogsignalarrays:
self.assertEqual(unit.channel_indexes[0],
sigarr.channel_index[i])
targ2 = get_fake_value('name',
str,
seed=seed + 2,
obj=RecordingChannelGroup)
self.assertEqual(rcg.name, targ2)
targ3 = get_fake_value('description',
str,
seed=seed + 3,
obj=RecordingChannelGroup)
self.assertEqual(rcg.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(rcg.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(rcg.annotations, targ5)
self.assertTrue(hasattr(rcg, 'recordingchannels'))
self.assertTrue(hasattr(rcg, 'units'))
self.assertTrue(hasattr(rcg, 'analogsignalarrays'))
self.assertEqual(len(rcg.recordingchannels), self.nchildren)
self.assertEqual(len(rcg.units), self.nchildren)
self.assertEqual(len(rcg.analogsignalarrays), self.nchildren)
def check_creation(self, rchan):
assert_neo_object_is_compliant(rchan)
seed = rchan.annotations['seed']
targ0 = get_fake_value('index',
int,
seed=seed + 0,
obj=RecordingChannel)
self.assertEqual(rchan.index, targ0)
targ1 = get_fake_value('coordinate', pq.Quantity, dim=1, seed=seed + 1)
assert_arrays_equal(rchan.coordinate, targ1)
targ2 = get_fake_value('name',
str,
seed=seed + 2,
obj=RecordingChannel)
self.assertEqual(rchan.name, targ2)
targ3 = get_fake_value('description',
str,
seed=seed + 3,
obj=RecordingChannel)
self.assertEqual(rchan.description, targ3)
targ4 = get_fake_value('file_origin', str)
self.assertEqual(rchan.file_origin, targ4)
targ5 = get_annotations()
targ5['seed'] = seed
self.assertEqual(rchan.annotations, targ5)
self.assertTrue(hasattr(rchan, 'analogsignals'))
self.assertTrue(hasattr(rchan, 'irregularlysampledsignals'))
self.assertEqual(len(rchan.analogsignals), self.nchildren)
self.assertEqual(len(rchan.irregularlysampledsignals), self.nchildren)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
signal = get_fake_value('signal', pq.Quantity, seed=1, dim=2)
name = get_fake_value('name', str, seed=2,
obj=IrregularlySampledSignal)
description = get_fake_value('description', str, seed=3,
obj='IrregularlySampledSignal')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(IrregularlySampledSignal,
annotate=False, seed=0)
res12 = get_fake_values('IrregularlySampledSignal',
annotate=False, seed=0)
res21 = get_fake_values(IrregularlySampledSignal,
annotate=True, seed=0)
res22 = get_fake_values('IrregularlySampledSignal',
annotate=True, seed=0)
assert_array_equal(res11.pop('times'), times)
assert_array_equal(res12.pop('times'), times)
assert_array_equal(res21.pop('times'), times)
assert_array_equal(res22.pop('times'), times)
assert_array_equal(res11.pop('signal'), signal)
assert_array_equal(res12.pop('signal'), signal)
assert_array_equal(res21.pop('signal'), signal)
assert_array_equal(res22.pop('signal'), signal)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def test__quantity_force_units(self):
name = 'test__quantity'
datatype = np.ndarray
dim = 2
units = pq.ohm
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = pq.Quantity(np.random.random(size) * 1000, units=units)
res = get_fake_value(name, datatype, dim=dim, seed=0, units=units)
self.assertTrue(isinstance(res, np.ndarray))
assert_arrays_equal(targ, res)
def test_attr_changes(self):
""" gets an object, changes its attributes, saves it, then compares how
good the changes were saved. """
iom = NeoHdf5IO(filename=self.test_file)
for obj_type in objectnames:
obj = fake_neo(obj_type=obj_type, cascade=False)
iom.save(obj)
orig_obj = iom.get(obj.hdf5_path)
for attr in obj._all_attrs:
if hasattr(orig_obj, attr[0]):
setattr(obj, attr[0], get_fake_value(*attr))
iom.save(orig_obj)
test_obj = iom.get(orig_obj.hdf5_path)
assert_objects_equivalent(orig_obj, test_obj)
def test__quantity_force_units(self):
name = 'test__quantity'
datatype = np.ndarray
dim = 2
units = pq.ohm
size = []
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = pq.Quantity(np.random.random(size) * 1000, units=units)
res = get_fake_value(name, datatype, dim=dim, seed=0, units=units)
self.assertTrue(isinstance(res, np.ndarray))
assert_arrays_equal(targ, res)
def test_attr_changes(self):
""" gets an object, changes its attributes, saves it, then compares how
good the changes were saved. """
iom = NeoHdf5IO(filename=self.test_file)
for obj_type in objectnames:
obj = fake_neo(obj_type=obj_type, cascade=False)
iom.save(obj)
orig_obj = iom.get(obj.hdf5_path)
for attr in obj._all_attrs:
if hasattr(orig_obj, attr[0]):
setattr(obj, attr[0], get_fake_value(*attr))
iom.save(orig_obj)
test_obj = iom.get(orig_obj.hdf5_path)
assert_objects_equivalent(orig_obj, test_obj)
def test__quantity(self):
name = 'test__quantity'
datatype = pq.Quantity
dim = 2
size = []
units = np.random.choice(['nA', 'mA', 'A', 'mV', 'V'])
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = pq.Quantity(np.random.random(size) * 1000, units=units)
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, getattr(pq, units))
assert_arrays_equal(targ, res)
def test__quantity(self):
name = 'test__quantity'
datatype = pq.Quantity
dim = 2
size = []
units = np.random.choice(['nA', 'mA', 'A', 'mV', 'V'])
for i in range(int(dim)):
size.append(np.random.randint(5) + 1)
targ = pq.Quantity(np.random.random(size) * 1000, units=units)
res = get_fake_value(name, datatype, dim=dim, seed=0)
self.assertTrue(isinstance(res, pq.Quantity))
self.assertEqual(res.units, getattr(pq, units))
assert_arrays_equal(targ, res)
def test__get_fake_values(self):
self.annotations['seed'] = 0
times = get_fake_value('times', pq.Quantity, seed=0, dim=1)
durations = get_fake_value('durations', pq.Quantity, seed=1, dim=1)
labels = get_fake_value('labels', np.ndarray, seed=2, dim=1, dtype='S')
name = get_fake_value('name', str, seed=3, obj=Epoch)
description = get_fake_value('description', str, seed=4, obj='Epoch')
file_origin = get_fake_value('file_origin', str)
arr_ann = get_fake_value('array_annotations', dict, seed=6, obj=Epoch, n=5)
attrs1 = {'name': name, 'description': description, 'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
attrs2['array_annotations'] = arr_ann
res11 = get_fake_values(Epoch, annotate=False, seed=0)
res12 = get_fake_values('Epoch', annotate=False, seed=0)
res21 = get_fake_values(Epoch, annotate=True, seed=0)
res22 = get_fake_values('Epoch', annotate=True, seed=0)
assert_arrays_equal(res11.pop('times'), times)
assert_arrays_equal(res12.pop('times'), times)
assert_arrays_equal(res21.pop('times'), times)
assert_arrays_equal(res22.pop('times'), times)
assert_arrays_equal(res11.pop('durations'), durations)
assert_arrays_equal(res12.pop('durations'), durations)
assert_arrays_equal(res21.pop('durations'), durations)
assert_arrays_equal(res22.pop('durations'), durations)
assert_arrays_equal(res11.pop('labels'), labels)
assert_arrays_equal(res12.pop('labels'), labels)
assert_arrays_equal(res21.pop('labels'), labels)
assert_arrays_equal(res22.pop('labels'), labels)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
# Array annotations need to be compared separately
# because numpy arrays define equality differently
arr_ann_res21 = res21.pop('array_annotations')
arr_ann_attrs2 = attrs2.pop('array_annotations')
self.assertEqual(res21, attrs2)
assert_arrays_equal(arr_ann_res21['valid'], arr_ann_attrs2['valid'])
assert_arrays_equal(arr_ann_res21['number'], arr_ann_attrs2['number'])
arr_ann_res22 = res22.pop('array_annotations')
self.assertEqual(res22, attrs2)
assert_arrays_equal(arr_ann_res22['valid'], arr_ann_attrs2['valid'])
assert_arrays_equal(arr_ann_res22['number'], arr_ann_attrs2['number'])
def test__get_fake_values(self):
self.annotations['seed'] = 0
signal = get_fake_value('signal', pq.Quantity, seed=0, dim=2)
sampling_rate = get_fake_value('sampling_rate', pq.Quantity,
seed=1, dim=0)
t_start = get_fake_value('t_start', pq.Quantity, seed=2, dim=0)
channel_index = get_fake_value('channel_index', np.ndarray, seed=3,
dim=1, dtype='i')
name = get_fake_value('name', str, seed=4, obj=AnalogSignalArray)
description = get_fake_value('description', str, seed=5,
obj='AnalogSignalArray')
file_origin = get_fake_value('file_origin', str)
attrs1 = {'name': name,
'description': description,
'file_origin': file_origin}
attrs2 = attrs1.copy()
attrs2.update(self.annotations)
res11 = get_fake_values(AnalogSignalArray, annotate=False, seed=0)
res12 = get_fake_values('AnalogSignalArray', annotate=False, seed=0)
res21 = get_fake_values(AnalogSignalArray, annotate=True, seed=0)
res22 = get_fake_values('AnalogSignalArray', annotate=True, seed=0)
assert_arrays_equal(res11.pop('signal'), signal)
assert_arrays_equal(res12.pop('signal'), signal)
assert_arrays_equal(res21.pop('signal'), signal)
assert_arrays_equal(res22.pop('signal'), signal)
assert_arrays_equal(res11.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res12.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res21.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res22.pop('sampling_rate'), sampling_rate)
assert_arrays_equal(res11.pop('t_start'), t_start)
assert_arrays_equal(res12.pop('t_start'), t_start)
assert_arrays_equal(res21.pop('t_start'), t_start)
assert_arrays_equal(res22.pop('t_start'), t_start)
assert_arrays_equal(res11.pop('channel_index'), channel_index)
assert_arrays_equal(res12.pop('channel_index'), channel_index)
assert_arrays_equal(res21.pop('channel_index'), channel_index)
assert_arrays_equal(res22.pop('channel_index'), channel_index)
self.assertEqual(res11, attrs1)
self.assertEqual(res12, attrs1)
self.assertEqual(res21, attrs2)
self.assertEqual(res22, attrs2)
def check_creation(self, seg):
assert_neo_object_is_compliant(seg)
seed = seg.annotations['seed']
targ0 = get_fake_value('file_datetime', datetime, seed=seed+0)
self.assertEqual(seg.file_datetime, targ0)
targ1 = get_fake_value('rec_datetime', datetime, seed=seed+1)
self.assertEqual(seg.rec_datetime, targ1)
targ2 = get_fake_value('index', int, seed=seed+2)
self.assertEqual(seg.index, targ2)
targ3 = get_fake_value('name', str, seed=seed+3, obj=Segment)
self.assertEqual(seg.name, targ3)
targ4 = get_fake_value('description', str,
seed=seed+4, obj=Segment)
self.assertEqual(seg.description, targ4)
targ5 = get_fake_value('file_origin', str)
self.assertEqual(seg.file_origin, targ5)
targ6 = get_annotations()
targ6['seed'] = seed
self.assertEqual(seg.annotations, targ6)
self.assertTrue(hasattr(seg, 'analogsignals'))
self.assertTrue(hasattr(seg, 'analogsignalarrays'))
self.assertTrue(hasattr(seg, 'irregularlysampledsignals'))
self.assertTrue(hasattr(seg, 'epochs'))
self.assertTrue(hasattr(seg, 'epocharrays'))
self.assertTrue(hasattr(seg, 'events'))
self.assertTrue(hasattr(seg, 'eventarrays'))
self.assertTrue(hasattr(seg, 'spikes'))
self.assertTrue(hasattr(seg, 'spiketrains'))
self.assertEqual(len(seg.analogsignals), self.nchildren**2)
self.assertEqual(len(seg.analogsignalarrays), self.nchildren)
self.assertEqual(len(seg.irregularlysampledsignals), self.nchildren**2)
self.assertEqual(len(seg.epochs), self.nchildren)
self.assertEqual(len(seg.epocharrays), self.nchildren)
self.assertEqual(len(seg.events), self.nchildren)
self.assertEqual(len(seg.eventarrays), self.nchildren)
self.assertEqual(len(seg.spikes), self.nchildren**2)
self.assertEqual(len(seg.spiketrains), self.nchildren**2)
