class TestDataMapScalar(TestCase):
def setUp(self):
self.setUpBazSpec()
self.spec_catalog = SpecCatalog()
self.spec_catalog.register_spec(self.baz_spec, 'test.yaml')
self.namespace = SpecNamespace('a test namespace',
CORE_NAMESPACE, [{
'source': 'test.yaml'
}],
version='0.1.0',
catalog=self.spec_catalog)
self.namespace_catalog = NamespaceCatalog()
self.namespace_catalog.add_namespace(CORE_NAMESPACE, self.namespace)
self.type_map = TypeMap(self.namespace_catalog)
self.type_map.register_container_type(CORE_NAMESPACE, 'BazScalar',
BazScalar)
self.type_map.register_map(BazScalar, ObjectMapper)
self.manager = BuildManager(self.type_map)
self.mapper = ObjectMapper(self.baz_spec)
def setUpBazSpec(self):
self.baz_spec = DatasetSpec(doc='a BazScalar type',
dtype='int',
name='MyBaz',
data_type_def='BazScalar')
def test_construct_scalar_dataset(self):
"""Test constructing a Data object with an h5py.Dataset with shape (1, ) for scalar spec."""
with h5py.File('test.h5', 'w') as file:
test_ds = file.create_dataset('test_ds', data=[1])
expected = BazScalar(
name='MyBaz',
data=1,
)
builder = DatasetBuilder(
name='MyBaz',
data=test_ds,
attributes={
'data_type': 'BazScalar',
'namespace': CORE_NAMESPACE,
'object_id': expected.object_id
},
)
container = self.mapper.construct(builder, self.manager)
self.assertTrue(np.issubdtype(type(
container.data), np.integer)) # as opposed to h5py.Dataset
self.assertContainerEqual(container, expected)
os.remove('test.h5')
class TestDataMapScalarCompound(TestCase):
def setUp(self):
self.setUpBazSpec()
self.spec_catalog = SpecCatalog()
self.spec_catalog.register_spec(self.baz_spec, 'test.yaml')
self.namespace = SpecNamespace('a test namespace',
CORE_NAMESPACE, [{
'source': 'test.yaml'
}],
version='0.1.0',
catalog=self.spec_catalog)
self.namespace_catalog = NamespaceCatalog()
self.namespace_catalog.add_namespace(CORE_NAMESPACE, self.namespace)
self.type_map = TypeMap(self.namespace_catalog)
self.type_map.register_container_type(CORE_NAMESPACE,
'BazScalarCompound',
BazScalarCompound)
self.type_map.register_map(BazScalarCompound, ObjectMapper)
self.manager = BuildManager(self.type_map)
self.mapper = ObjectMapper(self.baz_spec)
def setUpBazSpec(self):
self.baz_spec = DatasetSpec(
doc='a BazScalarCompound type',
dtype=[
DtypeSpec(name='id',
dtype='uint64',
doc='The unique identifier in this table.'),
DtypeSpec(name='attr1', dtype='text', doc='A text attribute.'),
],
name='MyBaz',
data_type_def='BazScalarCompound',
)
def test_construct_scalar_compound_dataset(self):
"""Test construct on a compound h5py.Dataset with shape (1, ) for scalar spec does not resolve the data."""
with h5py.File('test.h5', 'w') as file:
comp_type = np.dtype([('id', np.uint64),
('attr1', h5py.special_dtype(vlen=str))])
test_ds = file.create_dataset(name='test_ds',
data=np.array((1, 'text'),
dtype=comp_type),
shape=(1, ),
dtype=comp_type)
expected = BazScalarCompound(
name='MyBaz',
data=(1, 'text'),
)
builder = DatasetBuilder(
name='MyBaz',
data=test_ds,
attributes={
'data_type': 'BazScalarCompound',
'namespace': CORE_NAMESPACE,
'object_id': expected.object_id
},
)
container = self.mapper.construct(builder, self.manager)
self.assertEqual(type(container.data), h5py.Dataset)
self.assertContainerEqual(container, expected)
os.remove('test.h5')
