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b/sal/core/serialise.py @@ -299,7 +299,7 @@ def _decode_array(d): raise InternalError('Malformed array data found during de-serialisation.') if encoding == 'base64': - return _np.fromstring(base64.b64decode(data), dtype=dtype).reshape(shape) + return _np.frombuffer(base64.b64decode(data), dtype=dtype).reshape(shape) if encoding == 'list': return _np.array(data, dtype=dtype) diff --git a/sal/dataclass/core/dictionary.py b/sal/dataclass/core/dictionary.py index b596d25..d73fd67 100644 --- a/sal/dataclass/core/dictionary.py +++ b/sal/dataclass/core/dictionary.py @@ -150,14 +150,14 @@ def _sanitise_value(self, value): promotion_table = { int: np.int64, float: np.float64, - bool: np.bool + bool: np.bool_ } supported_types = [ np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float32, np.float64, - np.bool, + np.bool_, str ] diff --git a/sal/dataclass/core/scalar.py b/sal/dataclass/core/scalar.py index a33d625..f2eee66 100644 --- a/sal/dataclass/core/scalar.py +++ b/sal/dataclass/core/scalar.py @@ -99,14 +99,14 @@ def _sanitise_value(self, value): promotion_table = { int: np.int64, float: np.float64, - bool: np.bool + bool: np.bool_ } supported_types = [ np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float32, np.float64, - np.bool + np.bool_ ] # promote python types to more specific numpy types diff --git a/sal/tests/dataclass/unit/test_dictionary.py b/sal/tests/dataclass/unit/test_dictionary.py index 2926fd9..43d4834 100644 --- a/sal/tests/dataclass/unit/test_dictionary.py +++ b/sal/tests/dataclass/unit/test_dictionary.py @@ -20,7 +20,7 @@ def setUp(self): 'float_value': float(0.0), 'fp32_value': np.float32(1.0), 'fp64_value': np.float64(2.0), - 'numpy_bool_value': np.bool(True), + 'numpy_bool_value': np.bool_(True), 'bool_value': bool(True), 'string_value': str('Test string.') } @@ -38,8 +38,8 @@ def setUp(self): 'float_value': np.float64(0.0), 'fp32_value': np.float32(1.0), 'fp64_value': np.float64(2.0), - 'numpy_bool_value': np.bool(True), - 'bool_value': np.bool(True), + 'numpy_bool_value': np.bool_(True), + 'bool_value': np.bool_(True), 'string_value': str('Test string.') } @@ -62,8 +62,8 @@ def setUp(self): 'float_value': np.float64(0.0), 'fp32_value': np.float32(1.0), 'fp64_value': np.float64(2.0), - 'numpy_bool_value': np.bool(True), - 'bool_value': np.bool(True), + 'numpy_bool_value': np.bool_(True), + 'bool_value': np.bool_(True), 'string_value': str('Test string.') } } diff --git a/sal/tests/dataclass/unit/test_scalar.py b/sal/tests/dataclass/unit/test_scalar.py index c4f16d4..1b3a850 100644 --- a/sal/tests/dataclass/unit/test_scalar.py +++ b/sal/tests/dataclass/unit/test_scalar.py @@ -7,7 +7,7 @@ @pytest.mark.parametrize('value, expected_type', [(1, np.int64), (1., np.float64), - (True, np.bool), + (True, np.bool_), (np.int8(1), np.int8), (np.int16(1), np.int16), (np.int32(1), np.int32), @@ -18,7 +18,7 @@ (np.uint64(1), np.uint64), (np.float32(1.), np.float32), (np.float32(1.), np.float32), - (np.bool(1), np.bool)]) + (np.bool_(1), np.bool_)]) def test_scalar_santise(scalar, value, expected_type): """