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# Protocol Buffers - Google's data interchange format
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"""Test use of numpy types with repeated and non-repeated scalar fields."""
import unittest
import numpy as np
from google.protobuf.internal import testing_refleaks
from google.protobuf import unittest_pb2
message = unittest_pb2.TestAllTypes()
np_float_scalar = np.float64(0.0)
np_1_float_array = np.zeros(shape=(1,), dtype=np.float64)
np_2_float_array = np.zeros(shape=(2,), dtype=np.float64)
np_11_float_array = np.zeros(shape=(1, 1), dtype=np.float64)
np_22_float_array = np.zeros(shape=(2, 2), dtype=np.float64)
np_int_scalar = np.int64(0)
np_1_int_array = np.zeros(shape=(1,), dtype=np.int64)
np_2_int_array = np.zeros(shape=(2,), dtype=np.int64)
np_11_int_array = np.zeros(shape=(1, 1), dtype=np.int64)
np_22_int_array = np.zeros(shape=(2, 2), dtype=np.int64)
np_uint_scalar = np.uint64(0)
np_1_uint_array = np.zeros(shape=(1,), dtype=np.uint64)
np_2_uint_array = np.zeros(shape=(2,), dtype=np.uint64)
np_11_uint_array = np.zeros(shape=(1, 1), dtype=np.uint64)
np_22_uint_array = np.zeros(shape=(2, 2), dtype=np.uint64)
np_bool_scalar = np.bool_(False)
np_1_bool_array = np.zeros(shape=(1,), dtype=np.bool_)
np_2_bool_array = np.zeros(shape=(2,), dtype=np.bool_)
np_11_bool_array = np.zeros(shape=(1, 1), dtype=np.bool_)
np_22_bool_array = np.zeros(shape=(2, 2), dtype=np.bool_)
@testing_refleaks.TestCase
class NumpyIntProtoTest(unittest.TestCase):
# Assigning dim 1 ndarray of ints to repeated field should pass
def testNumpyDim1IntArrayToRepeated_IsValid(self):
message.repeated_int64[:] = np_1_int_array
message.repeated_int64[:] = np_2_int_array
message.repeated_uint64[:] = np_1_uint_array
message.repeated_uint64[:] = np_2_uint_array
# Assigning dim 2 ndarray of ints to repeated field should fail
def testNumpyDim2IntArrayToRepeated_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.repeated_int64[:] = np_11_int_array
with self.assertRaises(TypeError):
message.repeated_int64[:] = np_22_int_array
with self.assertRaises(TypeError):
message.repeated_uint64[:] = np_11_uint_array
with self.assertRaises(TypeError):
message.repeated_uint64[:] = np_22_uint_array
# Assigning any ndarray of floats to repeated int field should fail
def testNumpyFloatArrayToRepeated_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.repeated_int64[:] = np_1_float_array
with self.assertRaises(TypeError):
message.repeated_int64[:] = np_11_float_array
with self.assertRaises(TypeError):
message.repeated_int64[:] = np_22_float_array
# Assigning any np int to scalar field should pass
def testNumpyIntScalarToScalar_IsValid(self):
message.optional_int64 = np_int_scalar
message.optional_uint64 = np_uint_scalar
# Assigning any ndarray of ints to scalar field should fail
def testNumpyIntArrayToScalar_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.optional_int64 = np_1_int_array
with self.assertRaises(TypeError):
message.optional_int64 = np_11_int_array
with self.assertRaises(TypeError):
message.optional_int64 = np_22_int_array
with self.assertRaises(TypeError):
message.optional_uint64 = np_1_uint_array
with self.assertRaises(TypeError):
message.optional_uint64 = np_11_uint_array
with self.assertRaises(TypeError):
message.optional_uint64 = np_22_uint_array
# Assigning any ndarray of floats to scalar field should fail
def testNumpyFloatArrayToScalar_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.optional_int64 = np_1_float_array
with self.assertRaises(TypeError):
message.optional_int64 = np_11_float_array
with self.assertRaises(TypeError):
message.optional_int64 = np_22_float_array
@testing_refleaks.TestCase
class NumpyFloatProtoTest(unittest.TestCase):
# Assigning dim 1 ndarray of floats to repeated field should pass
def testNumpyDim1FloatArrayToRepeated_IsValid(self):
message.repeated_float[:] = np_1_float_array
message.repeated_float[:] = np_2_float_array
# Assigning dim 2 ndarray of floats to repeated field should fail
def testNumpyDim2FloatArrayToRepeated_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.repeated_float[:] = np_11_float_array
with self.assertRaises(TypeError):
message.repeated_float[:] = np_22_float_array
# Assigning any np float to scalar field should pass
def testNumpyFloatScalarToScalar_IsValid(self):
message.optional_float = np_float_scalar
# Assigning any ndarray of float to scalar field should fail
def testNumpyFloatArrayToScalar_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.optional_float = np_1_float_array
with self.assertRaises(TypeError):
message.optional_float = np_11_float_array
with self.assertRaises(TypeError):
message.optional_float = np_22_float_array
@testing_refleaks.TestCase
class NumpyBoolProtoTest(unittest.TestCase):
# Assigning dim 1 ndarray of bool to repeated field should pass
def testNumpyDim1BoolArrayToRepeated_IsValid(self):
message.repeated_bool[:] = np_1_bool_array
message.repeated_bool[:] = np_2_bool_array
# Assigning dim 2 ndarray of bool to repeated field should fail
def testNumpyDim2BoolArrayToRepeated_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.repeated_bool[:] = np_11_bool_array
with self.assertRaises(TypeError):
message.repeated_bool[:] = np_22_bool_array
# Assigning any np bool to scalar field should pass
def testNumpyBoolScalarToScalar_IsValid(self):
message.optional_bool = np_bool_scalar
# Assigning any ndarray of bool to scalar field should fail
def testNumpyBoolArrayToScalar_RaisesTypeError(self):
with self.assertRaises(TypeError):
message.optional_bool = np_1_bool_array
with self.assertRaises(TypeError):
message.optional_bool = np_11_bool_array
with self.assertRaises(TypeError):
message.optional_bool = np_22_bool_array
@testing_refleaks.TestCase
class NumpyProtoIndexingTest(unittest.TestCase):
def testNumpyIntScalarIndexing_Passes(self):
data = unittest_pb2.TestAllTypes(repeated_int64=[0, 1, 2])
self.assertEqual(0, data.repeated_int64[np.int64(0)])
def testNumpyNegative1IntScalarIndexing_Passes(self):
data = unittest_pb2.TestAllTypes(repeated_int64=[0, 1, 2])
self.assertEqual(2, data.repeated_int64[np.int64(-1)])
def testNumpyFloatScalarIndexing_Fails(self):
data = unittest_pb2.TestAllTypes(repeated_int64=[0, 1, 2])
with self.assertRaises(TypeError):
_ = data.repeated_int64[np.float64(0.0)]
def testNumpyIntArrayIndexing_Fails(self):
data = unittest_pb2.TestAllTypes(repeated_int64=[0, 1, 2])
with self.assertRaises(TypeError):
_ = data.repeated_int64[np.array([0])]
with self.assertRaises(TypeError):
_ = data.repeated_int64[np.ndarray((1,), buffer=np.array([0]), dtype=int)]
with self.assertRaises(TypeError):
_ = data.repeated_int64[np.ndarray((1, 1),
buffer=np.array([0]),
dtype=int)]
if __name__ == '__main__':
unittest.main()