How to use the pynwb.form.spec.DtypeSpec function in pynwb

def test_is_ref(self):
        spec = DtypeSpec('column1', 'an example column', RefSpec('TimeSeries', 'object'))
        self.assertTrue(DtypeSpec.is_ref(spec))
        spec = DtypeSpec('column1', 'an example column', 'int')
        self.assertFalse(DtypeSpec.is_ref(spec))

def test_datatype_table_extension(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column3', 'the third column', 'str')
        ext = DatasetSpec('my first table extension',
                          [dtype3],
                          namespace='core',
                          data_type_inc=base,
                          data_type_def='ExtendedTable')
        self.assertEqual(ext['dtype'], [dtype1, dtype2, dtype3])
        self.assertEqual(ext['doc'], 'my first table extension')

def test_datatype_table_extension_higher_precision(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float32')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column2', 'the second column, with greater precision', 'float64')
        ext = DatasetSpec('my first table extension',
                          [dtype3],
                          namespace='core',
                          data_type_inc=base,
                          data_type_def='ExtendedTable')
        self.assertEqual(ext['dtype'], [dtype1, dtype3])
        self.assertEqual(ext['doc'], 'my first table extension')

def test_simplify_cpd_type(self):
        compound_type = [DtypeSpec('test', 'test field', 'float'),
                         DtypeSpec('test2', 'test field2', 'int')]
        expected_result = ['float', 'int']
        result = DtypeHelper.simplify_cpd_type(compound_type)
        self.assertListEqual(result, expected_result)

def test_invalid_refspec_dict(self):
        with self.assertRaises(AssertionError):
            DtypeSpec.assertValidDtype({'no target': 'test',   # <-- missing or here bad target key for RefSpec
                                        'reftype': 'object'})

def test_datatype_table_extension(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column3', 'the third column', 'str')
        ext = DatasetSpec('my first table extension',
                          [dtype3],
                          namespace='core',
                          data_type_inc=base,
                          data_type_def='ExtendedTable')
        self.assertEqual(ext['dtype'], [dtype1, dtype2, dtype3])
        self.assertEqual(ext['doc'], 'my first table extension')

def test_datatype_table_extension_lower_precision(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float64')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column2', 'the second column, with greater precision', 'float32')
        with self.assertRaisesRegex(ValueError, 'Cannot extend float64 to float32'):
            ext = DatasetSpec('my first table extension',  # noqa: F841
                              [dtype3],
                              namespace='core',
                              data_type_inc=base,
                              data_type_def='ExtendedTable')

def test_datatype_table_extension_higher_precision(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float32')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column2', 'the second column, with greater precision', 'float64')
        ext = DatasetSpec('my first table extension',
                          [dtype3],
                          namespace='core',
                          data_type_inc=base,
                          data_type_def='ExtendedTable')
        self.assertEqual(ext['dtype'], [dtype1, dtype3])
        self.assertEqual(ext['doc'], 'my first table extension')

def test_datatype_table_extension_lower_precision(self):
        dtype1 = DtypeSpec('column1', 'the first column', 'int')
        dtype2 = DtypeSpec('column2', 'the second column', 'float64')
        base = DatasetSpec('my first table',
                           [dtype1, dtype2],
                           attributes=self.attributes,
                           namespace='core',
                           data_type_def='SimpleTable')
        self.assertEqual(base['dtype'], [dtype1, dtype2])
        self.assertEqual(base['doc'], 'my first table')
        dtype3 = DtypeSpec('column2', 'the second column, with greater precision', 'float32')
        with self.assertRaisesRegex(ValueError, 'Cannot extend float64 to float32'):
            ext = DatasetSpec('my first table extension',  # noqa: F841
                              [dtype3],
                              namespace='core',
                              data_type_inc=base,
                              data_type_def='ExtendedTable')