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_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_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)
Exemple #2
0
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.signal1 = IrregularlySampledSignal(self.time1quant,
                                                signal=self.data1quant,
                                                name='spam',
                                                description='eggs',
                                                file_origin='testfile.txt',
                                                arg1='test')
        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'})

    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)

    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)

    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'})

        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'})

        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'})
    
    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'})

    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'})

    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'})

    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'})

    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'})

    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'})

    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)
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)