def test__merge(self):
data1 = np.arange(1000.0, 1066.0).reshape((11, 6)) * pq.uV
data2 = np.arange(2.0, 2.033, 0.001).reshape((11, 3)) * pq.mV
times1 = np.arange(11.0) * pq.ms
times2 = np.arange(1.0, 12.0) * pq.ms
arr_ann1 = {
'anno1': np.arange(6),
'anno2': ['a', 'b', 'c', 'd', 'e', 'f']
}
arr_ann2 = {'anno1': np.arange(100, 103), 'anno3': []}
signal1 = IrregularlySampledSignal(times1,
data1,
name='signal1',
description='test signal',
file_origin='testfile.txt',
array_annotations=arr_ann1)
signal2 = IrregularlySampledSignal(times1,
data2,
name='signal2',
description='test signal',
file_origin='testfile.txt',
array_annotations=arr_ann2)
signal3 = IrregularlySampledSignal(times2,
data2,
name='signal3',
description='test signal',
file_origin='testfile.txt')
with warnings.catch_warnings(record=True) as w:
merged12 = signal1.merge(signal2)
self.assertTrue(len(w) == 1)
self.assertEqual(w[0].category, UserWarning)
self.assertSequenceEqual(
str(w[0].message), "The following array annotations were "
"omitted, because they were only present"
" in one of the merged objects: "
"['anno2'] from the one that was merged "
"into and ['anno3'] from the one that "
"was merged into the other")
target_data12 = np.hstack([data1, data2.rescale(pq.uV)])
assert_neo_object_is_compliant(signal1)
assert_neo_object_is_compliant(signal2)
assert_neo_object_is_compliant(merged12)
self.assertAlmostEqual(merged12[5, 0], 1030.0 * pq.uV, 9)
self.assertAlmostEqual(merged12[5, 6], 2015.0 * pq.uV, 9)
self.assertEqual(merged12.name, 'merge(signal1, signal2)')
self.assertEqual(merged12.file_origin, 'testfile.txt')
assert_arrays_equal(merged12.array_annotations['anno1'],
np.array([0, 1, 2, 3, 4, 5, 100, 101, 102]))
self.assertIsInstance(merged12.array_annotations, ArrayDict)
assert_arrays_equal(merged12.magnitude, target_data12)
self.assertRaises(MergeError, signal1.merge, signal3)
def test__merge(self):
data1 = np.arange(1000.0, 1066.0).reshape((11, 6)) * pq.uV
data2 = np.arange(2.0, 2.033, 0.001).reshape((11, 3)) * pq.mV
times1 = np.arange(11.0) * pq.ms
times2 = np.arange(1.0, 12.0) * pq.ms
arr_ann1 = {'anno1': np.arange(6), 'anno2': ['a', 'b', 'c', 'd', 'e', 'f']}
arr_ann2 = {'anno1': np.arange(100, 103), 'anno3': []}
signal1 = IrregularlySampledSignal(times1, data1, name='signal1',
description='test signal', file_origin='testfile.txt',
array_annotations=arr_ann1)
signal2 = IrregularlySampledSignal(times1, data2, name='signal2',
description='test signal', file_origin='testfile.txt',
array_annotations=arr_ann2)
signal3 = IrregularlySampledSignal(times2, data2, name='signal3',
description='test signal', file_origin='testfile.txt')
with warnings.catch_warnings(record=True) as w:
merged12 = signal1.merge(signal2)
self.assertTrue(len(w) == 1)
self.assertEqual(w[0].category, UserWarning)
self.assertSequenceEqual(str(w[0].message), "The following array annotations were "
"omitted, because they were only present"
" in one of the merged objects: "
"['anno2'] from the one that was merged "
"into and ['anno3'] from the one that "
"was merged into the other")
target_data12 = np.hstack([data1, data2.rescale(pq.uV)])
assert_neo_object_is_compliant(signal1)
assert_neo_object_is_compliant(signal2)
assert_neo_object_is_compliant(merged12)
self.assertAlmostEqual(merged12[5, 0], 1030.0 * pq.uV, 9)
self.assertAlmostEqual(merged12[5, 6], 2015.0 * pq.uV, 9)
self.assertEqual(merged12.name, 'merge(signal1, signal2)')
self.assertEqual(merged12.file_origin, 'testfile.txt')
assert_arrays_equal(merged12.array_annotations['anno1'],
np.array([0, 1, 2, 3, 4, 5, 100, 101, 102]))
self.assertIsInstance(merged12.array_annotations, ArrayDict)
assert_arrays_equal(merged12.magnitude, target_data12)
self.assertRaises(MergeError, signal1.merge, signal3)
def test__merge(self):
data1 = np.arange(1000.0, 1066.0).reshape((11, 6)) * pq.uV
data2 = np.arange(2.0, 2.033, 0.001).reshape((11, 3)) * pq.mV
times1 = np.arange(11.0) * pq.ms
times2 = np.arange(1.0, 12.0) * pq.ms
signal1 = IrregularlySampledSignal(times1,
data1,
name='signal1',
description='test signal',
file_origin='testfile.txt')
signal2 = IrregularlySampledSignal(times1,
data2,
name='signal2',
description='test signal',
file_origin='testfile.txt')
signal3 = IrregularlySampledSignal(times2,
data2,
name='signal3',
description='test signal',
file_origin='testfile.txt')
merged12 = signal1.merge(signal2)
target_data12 = np.hstack([data1, data2.rescale(pq.uV)])
assert_neo_object_is_compliant(signal1)
assert_neo_object_is_compliant(signal2)
assert_neo_object_is_compliant(merged12)
self.assertAlmostEqual(merged12[5, 0], 1030.0 * pq.uV, 9)
self.assertAlmostEqual(merged12[5, 6], 2015.0 * pq.uV, 9)
self.assertEqual(merged12.name, 'merge(signal1, signal2)')
self.assertEqual(merged12.file_origin, 'testfile.txt')
assert_arrays_equal(merged12.magnitude, target_data12)
self.assertRaises(MergeError, signal1.merge, signal3)
