def test_IrregularlySampledSignal_creation_units_rescale(self):
params = {'test2': 'y1', 'test3': True}
arr_ann = {'anno1': [23], 'anno2': ['A']}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7] * pq.s,
signal=[2., 4., 6.] * pq.V,
units=pq.mV,
time_units=pq.ms,
name='test',
description='tester',
file_origin='test.file',
test1=1,
array_annotations=arr_ann,
**params)
sig.annotate(test1=1.1, test0=[1, 2])
assert_neo_object_is_compliant(sig)
assert_array_equal(sig.times, [1100, 1500, 1700] * pq.ms)
assert_array_equal(
np.asarray(sig).flatten(), np.array([2000., 4000., 6000.]))
self.assertEqual(sig.units, pq.mV)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['test0'], [1, 2])
self.assertEqual(sig.annotations['test1'], 1.1)
self.assertEqual(sig.annotations['test2'], 'y1')
self.assertTrue(sig.annotations['test3'])
assert_arrays_equal(sig.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(sig.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(sig.array_annotations, ArrayDict)
def test_IrregularlySampledSignal_creation_units_arg(self):
params = {'test2': 'y1', 'test3': True}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7],
signal=[20., 40., 60.],
units=pq.V,
time_units=pq.s,
name='test',
description='tester',
file_origin='test.file',
test1=1,
**params)
sig.annotate(test1=1.1, test0=[1, 2])
assert_neo_object_is_compliant(sig)
assert_array_equal(sig.times, [1.1, 1.5, 1.7] * pq.s)
assert_array_equal(
np.asarray(sig).flatten(), np.array([20., 40., 60.]))
self.assertEqual(sig.units, pq.V)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['test0'], [1, 2])
self.assertEqual(sig.annotations['test1'], 1.1)
self.assertEqual(sig.annotations['test2'], 'y1')
self.assertTrue(sig.annotations['test3'])
def test_IrregularlySampledSignal_creation_times_units_signal_units(self):
params = {'test2': 'y1', 'test3': True}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7]*pq.ms,
signal=[20., 40., 60.]*pq.mV,
name='test', description='tester',
file_origin='test.file',
test1=1, **params)
sig.annotate(test1=1.1, test0=[1, 2])
assert_neo_object_is_compliant(sig)
assert_array_equal(sig.times, [1.1, 1.5, 1.7]*pq.ms)
assert_array_equal(np.asarray(sig).flatten(), np.array([20., 40., 60.]))
self.assertEqual(sig.units, pq.mV)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['test0'], [1, 2])
self.assertEqual(sig.annotations['test1'], 1.1)
self.assertEqual(sig.annotations['test2'], 'y1')
self.assertTrue(sig.annotations['test3'])
def test_IrregularlySampledSignal_creation_times_units_signal_units(self):
params = {'testarg2': 'yes', 'testarg3': True}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7]*pq.ms,
signal=[20., 40., 60.]*pq.mV,
name='test', description='tester',
file_origin='test.file',
testarg1=1, **params)
sig.annotate(testarg1=1.1, testarg0=[1, 2, 3])
assert_neo_object_is_compliant(sig)
assert_arrays_equal(sig.times, [1.1, 1.5, 1.7]*pq.ms)
assert_arrays_equal(np.asarray(sig), np.array([20., 40., 60.]))
self.assertEqual(sig.units, pq.mV)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['testarg0'], [1, 2, 3])
self.assertEqual(sig.annotations['testarg1'], 1.1)
self.assertEqual(sig.annotations['testarg2'], 'yes')
self.assertTrue(sig.annotations['testarg3'])
def test_IrregularlySampledSignal_creation_units_rescale(self):
params = {'testarg2': 'yes', 'testarg3': True}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7]*pq.s,
signal=[2., 4., 6.]*pq.V,
units=pq.mV, time_units=pq.ms,
name='test', description='tester',
file_origin='test.file',
testarg1=1, **params)
sig.annotate(testarg1=1.1, testarg0=[1, 2, 3])
assert_neo_object_is_compliant(sig)
assert_arrays_equal(sig.times, [1100, 1500, 1700]*pq.ms)
assert_arrays_equal(np.asarray(sig), np.array([2000., 4000., 6000.]))
self.assertEqual(sig.units, pq.mV)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['testarg0'], [1, 2, 3])
self.assertEqual(sig.annotations['testarg1'], 1.1)
self.assertEqual(sig.annotations['testarg2'], 'yes')
self.assertTrue(sig.annotations['testarg3'])
def test_IrregularlySampledSignal_creation_units_rescale(self):
params = {'test2': 'y1', 'test3': True}
arr_ann = {'anno1': [23], 'anno2': ['A']}
sig = IrregularlySampledSignal([1.1, 1.5, 1.7] * pq.s, signal=[2., 4., 6.] * pq.V,
units=pq.mV, time_units=pq.ms, name='test',
description='tester', file_origin='test.file', test1=1,
array_annotations=arr_ann, **params)
sig.annotate(test1=1.1, test0=[1, 2])
assert_neo_object_is_compliant(sig)
assert_array_equal(sig.times, [1100, 1500, 1700] * pq.ms)
assert_array_equal(np.asarray(sig).flatten(), np.array([2000., 4000., 6000.]))
self.assertEqual(sig.units, pq.mV)
self.assertEqual(sig.name, 'test')
self.assertEqual(sig.description, 'tester')
self.assertEqual(sig.file_origin, 'test.file')
self.assertEqual(sig.annotations['test0'], [1, 2])
self.assertEqual(sig.annotations['test1'], 1.1)
self.assertEqual(sig.annotations['test2'], 'y1')
self.assertTrue(sig.annotations['test3'])
assert_arrays_equal(sig.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(sig.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(sig.array_annotations, ArrayDict)
class TestIrregularlySampledSignalArrayMethods(unittest.TestCase):
def setUp(self):
self.data1 = np.arange(10.0)
self.data1quant = self.data1 * pq.mV
self.time1 = np.logspace(1, 5, 10)
self.time1quant = self.time1 * pq.ms
self.arr_ann = {'anno1': [23], 'anno2': ['A']}
self.signal1 = IrregularlySampledSignal(self.time1quant,
signal=self.data1quant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test',
array_annotations=self.arr_ann)
self.signal1.segment = Segment()
self.signal1.channel_index = ChannelIndex([0])
def test__compliant(self):
assert_neo_object_is_compliant(self.signal1)
self.assertEqual(self.signal1.name, 'spam')
self.assertEqual(self.signal1.description, 'eggs')
self.assertEqual(self.signal1.file_origin, 'testfile.txt')
self.assertEqual(self.signal1.annotations, {'arg1': 'test'})
assert_arrays_equal(self.signal1.array_annotations['anno1'],
np.array([23]))
assert_arrays_equal(self.signal1.array_annotations['anno2'],
np.array(['A']))
self.assertIsInstance(self.signal1.array_annotations, ArrayDict)
def test__slice_should_return_IrregularlySampledSignal(self):
result = self.signal1[3:8]
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
self.assertEqual(result.size, 5)
self.assertEqual(result.t_start, self.time1quant[3])
self.assertEqual(result.t_stop, self.time1quant[7])
assert_array_equal(self.time1quant[3:8], result.times)
assert_array_equal(self.data1[3:8].reshape(-1, 1), result.magnitude)
# Test other attributes were copied over (in this case, defaults)
self.assertEqual(result.file_origin, self.signal1.file_origin)
self.assertEqual(result.name, self.signal1.name)
self.assertEqual(result.description, self.signal1.description)
self.assertEqual(result.annotations, self.signal1.annotations)
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test__getitem_should_return_single_quantity(self):
self.assertEqual(self.signal1[0], 0 * pq.mV)
self.assertEqual(self.signal1[9], 9 * pq.mV)
self.assertRaises(IndexError, self.signal1.__getitem__, 10)
def test__getitem_out_of_bounds_IndexError(self):
self.assertRaises(IndexError, self.signal1.__getitem__, 10)
def test_comparison_operators(self):
assert_array_equal(
self.signal1 >= 5 * pq.mV,
np.array([[
False, False, False, False, False, True, True, True, True, True
]]).T)
assert_array_equal(
self.signal1 == 5 * pq.mV,
np.array([[
False, False, False, False, False, True, False, False, False,
False
]]).T)
assert_array_equal(
self.signal1 == self.signal1,
np.array(
[[True, True, True, True, True, True, True, True, True,
True]]).T)
def test__comparison_as_indexing_single_trace(self):
self.assertEqual(self.signal1[self.signal1 == 5], [5 * pq.mV])
def test__comparison_as_indexing_multi_trace(self):
signal = IrregularlySampledSignal(
self.time1quant,
np.arange(20).reshape((-1, 2)) * pq.V)
assert_array_equal(
signal[signal < 10],
np.array([[0, 2, 4, 6, 8], [1, 3, 5, 7, 9]]).T * pq.V)
def test__indexing_keeps_order_across_channels(self):
# AnalogSignals with 10 traces each having 5 samples (eg. data[0] = [0,10,20,30,40])
data = np.array([
range(10),
range(10, 20),
range(20, 30),
range(30, 40),
range(40, 50)
])
mask = np.full((5, 10), fill_value=False, dtype=bool)
# selecting one entry per trace
mask[[0, 1, 0, 3, 0, 2, 4, 3, 1, 4], range(10)] = True
signal = IrregularlySampledSignal(
np.arange(5) * pq.s,
np.array(data) * pq.V)
assert_array_equal(
signal[mask],
np.array([[0, 11, 2, 33, 4, 25, 46, 37, 18, 49]]) * pq.V)
def test__indexing_keeps_order_across_time(self):
# AnalogSignals with 10 traces each having 5 samples (eg. data[0] = [0,10,20,30,40])
data = np.array([
range(10),
range(10, 20),
range(20, 30),
range(30, 40),
range(40, 50)
])
mask = np.full((5, 10), fill_value=False, dtype=bool)
# selecting two entries per trace
temporal_ids = [0, 1, 0, 3, 1, 2, 4, 2, 1, 4
] + [4, 3, 2, 1, 0, 1, 2, 3, 2, 1]
mask[temporal_ids, list(range(10)) + list(range(10))] = True
signal = IrregularlySampledSignal(
np.arange(5) * pq.s,
np.array(data) * pq.V)
assert_array_equal(
signal[mask],
np.array([[0, 11, 2, 13, 4, 15, 26, 27, 18, 19],
[40, 31, 22, 33, 14, 25, 46, 37, 28, 49]]) * pq.V)
def test__comparison_with_inconsistent_units_should_raise_Exception(self):
self.assertRaises(ValueError, self.signal1.__gt__, 5 * pq.nA)
def test_simple_statistics(self):
targmean = self.signal1[:-1] * np.diff(self.time1quant).reshape(-1, 1)
targmean = targmean.sum() / (self.time1quant[-1] - self.time1quant[0])
self.assertEqual(self.signal1.max(), 9 * pq.mV)
self.assertEqual(self.signal1.min(), 0 * pq.mV)
self.assertEqual(self.signal1.mean(), targmean)
def test_mean_interpolation_NotImplementedError(self):
self.assertRaises(NotImplementedError, self.signal1.mean, True)
def test_resample_NotImplementedError(self):
self.assertRaises(NotImplementedError, self.signal1.resample, True)
def test__rescale_same(self):
result = self.signal1.copy()
result = result.rescale(pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertEqual(result.units, 1 * pq.mV)
assert_array_equal(result.magnitude, self.data1.reshape(-1, 1))
assert_array_equal(result.times, self.time1quant)
assert_same_sub_schema(result, self.signal1)
self.assertIsInstance(result.channel_index, ChannelIndex)
self.assertIsInstance(result.segment, Segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
self.assertIs(result.segment, self.signal1.segment)
def test__rescale_new(self):
result = self.signal1.copy()
result = result.rescale(pq.uV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertEqual(result.units, 1 * pq.uV)
assert_arrays_almost_equal(np.array(result),
self.data1.reshape(-1, 1) * 1000., 1e-10)
assert_array_equal(result.times, self.time1quant)
self.assertIsInstance(result.channel_index, ChannelIndex)
self.assertIsInstance(result.segment, Segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
self.assertIs(result.segment, self.signal1.segment)
def test__rescale_new_incompatible_ValueError(self):
self.assertRaises(ValueError, self.signal1.rescale, pq.nA)
def test_time_slice(self):
targdataquant = [[1.0], [2.0], [3.0]] * pq.mV
targtime = np.logspace(1, 5, 10)
targtimequant = targtime[1:4] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = 15
t_stop = 250
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test__time_slice_deepcopy_annotations(self):
params1 = {'test0': 'y1', 'test1': ['deeptest'], 'test2': True}
self.signal1.annotate(**params1)
result = self.signal1.time_slice(None, None)
# Change annotations of original
params2 = {'test0': 'y2', 'test2': False}
self.signal1.annotate(**params2)
self.signal1.annotations['test1'][0] = 'shallowtest'
self.assertNotEqual(self.signal1.annotations['test0'],
result.annotations['test0'])
self.assertNotEqual(self.signal1.annotations['test1'],
result.annotations['test1'])
self.assertNotEqual(self.signal1.annotations['test2'],
result.annotations['test2'])
# Change annotations of result
params3 = {'test0': 'y3'}
result.annotate(**params3)
result.annotations['test1'][0] = 'shallowtest2'
self.assertNotEqual(self.signal1.annotations['test0'],
result.annotations['test0'])
self.assertNotEqual(self.signal1.annotations['test1'],
result.annotations['test1'])
self.assertNotEqual(self.signal1.annotations['test2'],
result.annotations['test2'])
def test__time_slice_deepcopy_array_annotations(self):
length = self.signal1.shape[-1]
params1 = {
'test0': ['y{}'.format(i) for i in range(length)],
'test1': ['deeptest' for i in range(length)],
'test2': [(-1)**i > 0 for i in range(length)]
}
self.signal1.array_annotate(**params1)
result = self.signal1.time_slice(None, None)
# Change annotations of original
params2 = {
'test0': ['x{}'.format(i) for i in range(length)],
'test2': [(-1)**(i + 1) > 0 for i in range(length)]
}
self.signal1.array_annotate(**params2)
self.signal1.array_annotations['test1'][0] = 'shallowtest'
self.assertFalse(
all(self.signal1.array_annotations['test0'] ==
result.array_annotations['test0']))
self.assertFalse(
all(self.signal1.array_annotations['test1'] ==
result.array_annotations['test1']))
self.assertFalse(
all(self.signal1.array_annotations['test2'] ==
result.array_annotations['test2']))
# Change annotations of result
params3 = {
'test0': ['z{}'.format(i) for i in range(1, result.shape[-1] + 1)]
}
result.array_annotate(**params3)
result.array_annotations['test1'][0] = 'shallow2'
self.assertFalse(
all(self.signal1.array_annotations['test0'] ==
result.array_annotations['test0']))
self.assertFalse(
all(self.signal1.array_annotations['test1'] ==
result.array_annotations['test1']))
self.assertFalse(
all(self.signal1.array_annotations['test2'] ==
result.array_annotations['test2']))
def test__time_slice_deepcopy_data(self):
result = self.signal1.time_slice(None, None)
# Change values of original array
self.signal1[2] = 7.3 * self.signal1.units
self.assertFalse(all(self.signal1 == result))
# Change values of sliced array
result[3] = 9.5 * result.units
self.assertFalse(all(self.signal1 == result))
def test_time_slice_out_of_boundries(self):
targdataquant = self.data1quant
targtimequant = self.time1quant
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = 0
t_stop = 2500000
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_time_slice_empty(self):
targdataquant = [] * pq.mV
targtimequant = [] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = 15
t_stop = 250
result = targ_signal.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
self.assertEqual(result.array_annotations, {})
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_time_slice_none_stop(self):
targdataquant = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0], [7.0],
[8.0], [9.0]] * pq.mV
targtime = np.logspace(1, 5, 10)
targtimequant = targtime[1:10] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = 15
t_stop = None
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_time_slice_none_start(self):
targdataquant = [[0.0], [1.0], [2.0], [3.0]] * pq.mV
targtime = np.logspace(1, 5, 10)
targtimequant = targtime[0:4] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = None
t_stop = 250
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_time_slice_none_both(self):
targdataquant = [[0.0], [1.0], [2.0], [3.0], [4.0], [5.0], [6.0],
[7.0], [8.0], [9.0]] * pq.mV
targtime = np.logspace(1, 5, 10)
targtimequant = targtime[0:10] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = None
t_stop = None
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_time_slice_differnt_units(self):
targdataquant = [[1.0], [2.0], [3.0]] * pq.mV
targtime = np.logspace(1, 5, 10)
targtimequant = targtime[1:4] * pq.ms
targ_signal = IrregularlySampledSignal(targtimequant,
signal=targdataquant,
name='spam',
description='eggs',
file_origin='testfile.txt',
arg1='test')
t_start = 15
t_stop = 250
t_start = 0.015 * pq.s
t_stop = .250 * pq.s
result = self.signal1.time_slice(t_start, t_stop)
assert_array_equal(result, targ_signal)
assert_array_equal(result.times, targtimequant)
self.assertEqual(result.units, 1 * pq.mV)
self.assertIsInstance(result, IrregularlySampledSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
assert_arrays_equal(result.array_annotations['anno1'], np.array([23]))
assert_arrays_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test__time_slice_should_set_parents_to_None(self):
# When timeslicing, a deep copy is made,
# thus the reference to parent objects should be destroyed
result = self.signal1.time_slice(1 * pq.ms, 3 * pq.ms)
self.assertEqual(result.segment, None)
self.assertEqual(result.channel_index, None)
def test__deepcopy_should_set_parents_objects_to_None(self):
# Deepcopy should destroy references to parents
result = deepcopy(self.signal1)
self.assertEqual(result.segment, None)
self.assertEqual(result.channel_index, None)
def test_as_array(self):
sig_as_arr = self.signal1.as_array()
self.assertIsInstance(sig_as_arr, np.ndarray)
assert_array_equal(self.data1, sig_as_arr.flat)
def test_as_quantity(self):
sig_as_q = self.signal1.as_quantity()
self.assertIsInstance(sig_as_q, pq.Quantity)
assert_array_equal(self.data1, sig_as_q.magnitude.flat)
def test__copy_should_preserve_parent_objects(self):
result = self.signal1.copy()
self.assertIs(result.segment, self.signal1.segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
