def test_input_fn_npz(np_array):
input_data = encoders.array_to_npy(np_array)
deserialized_np_array = serving.default_input_fn(input_data, content_types.NPY)
assert np.array_equal(np_array, deserialized_np_array)
float_32_array = np.array(np_array, dtype=np.float32)
input_data = encoders.array_to_npy(float_32_array)
deserialized_np_array = serving.default_input_fn(input_data, content_types.NPY)
assert np.array_equal(float_32_array, deserialized_np_array)
float_64_array = np.array(np_array, dtype=np.float64)
input_data = encoders.array_to_npy(float_64_array)
deserialized_np_array = serving.default_input_fn(input_data, content_types.NPY)
assert np.array_equal(float_64_array, deserialized_np_array)
def test_input_fn_bad_content_type():
with pytest.raises(errors.UnsupportedFormatError):
serving.default_input_fn('', 'application/not_supported')
def test_input_fn_csv(csv_data, expected):
deserialized_np_array = serving.default_input_fn(csv_data, content_types.CSV)
assert np.array_equal(expected, deserialized_np_array)
def test_input_fn_json(json_data, expected):
actual = serving.default_input_fn(json_data, content_types.JSON)
np.testing.assert_equal(actual, expected)
