def test_to_ndarray(sut, shape_full, dtype):
# Arrange
sut_data, data = generate_data(sut, shape_full, dtype)
# Act
actual = sut.to_ndarray(sut_data)
expected = backend.to_ndarray(data)
# Assert
np.testing.assert_array_equal(actual, expected)
def test_from_ndarray(sut, dtype_full, shape_full):
# Arrange
ndarray = np.empty(shape=shape_full, dtype=dtype_full)
try:
# Act
actual = sut.from_ndarray(ndarray)
expected = backend.from_ndarray(ndarray)
# Assert
np.testing.assert_array_equal(sut.to_ndarray(actual),
backend.to_ndarray(expected))
except NotImplementedError:
if dtype_full in (float, int):
assert False
def test_urand_seed_reproduction(sut, shape_1d):
# Arrange
sut_data, data = generate_data(sut, shape_1d, float)
seed = 0
# Act
sut_seed_ndarray = []
seed_ndarray = []
for i in range(2):
sut.urand(sut_data, seed)
backend.urand(data, seed)
sut_seed_ndarray.append(sut.to_ndarray(sut_data))
seed_ndarray.append(backend.to_ndarray(data))
# Assert
np.testing.assert_array_equal(seed_ndarray[0], seed_ndarray[1])
np.testing.assert_array_equal(sut_seed_ndarray[0], sut_seed_ndarray[1])
def test_upload(sut, shape_full, dtype):
# Arrange
np.random.seed(44)
numpy_data = np.random.rand(*shape_full).astype(dtype)
sut_numpy_data = np.empty(shape_full)
sut_numpy_data[:] = numpy_data[:]
sut_backend_target, backend_target = generate_data(
sut, shape_full, dtype)
# Act
backend.upload(numpy_data, backend_target)
sut.upload(sut_numpy_data, sut_backend_target)
# Assert
np.testing.assert_array_equal(sut.to_ndarray(sut_backend_target),
backend.to_ndarray(backend_target))
np.testing.assert_array_equal(sut_numpy_data, numpy_data)
def test_urand_seed_response(sut, shape_1d):
# Arrange
sut_data, data = generate_data(sut, shape_1d, float)
# Act
sut_seed_ndarray = []
seed_ndarray = []
for i in range(2):
sut.urand(sut_data, seed=i)
backend.urand(data, seed=i)
sut_seed_ndarray.append(sut.to_ndarray(sut_data))
seed_ndarray.append(backend.to_ndarray(data))
# Assert
TestMathsMethods.assert_array_significantly_different(
seed_ndarray[0], seed_ndarray[1])
TestMathsMethods.assert_array_significantly_different(
sut_seed_ndarray[0], sut_seed_ndarray[1])
def test_download(sut, shape_full, dtype):
# Arrange
sut_backend_data, backend_data = generate_data(sut, shape_full, dtype)
if dtype is int:
np_dtype = np.int64
elif dtype is float:
np_dtype = np.float64
else:
raise NotImplementedError()
numpy_target = np.empty(shape_full, np_dtype)
sut_numpy_target = np.empty(shape_full, np_dtype)
# Act
backend.download(backend_data, numpy_target)
sut.download(sut_backend_data, sut_numpy_target)
# Assert
np.testing.assert_array_equal(sut_numpy_target, numpy_target)
np.testing.assert_array_equal(sut.to_ndarray(sut_backend_data),
backend.to_ndarray(backend_data))
