def test_as_delta_type(self): """Test conversion from python to Deltaflow data types.""" # special self.assertEqual(as_delta_type(object), Top()) self.assertEqual(as_delta_type(type(object)), Top()) self.assertEqual(as_delta_type(type), Top()) self.assertEqual(as_delta_type(Void), Void) with self.assertRaises(DeltaTypeError): as_delta_type(None) with self.assertRaises(DeltaTypeError): as_delta_type(type(None)) # primitive self.assertNotEqual(as_delta_type(bool), DUInt(DSize(1))) self.assertEqual(as_delta_type(bool), DBool()) self.assertEqual(as_delta_type(np.bool_), DBool()) self.assertEqual(as_delta_type(int), DInt(DSize(32))) self.assertEqual(as_delta_type(np.int8), DChar()) self.assertEqual(as_delta_type(np.int16), DInt(DSize(16))) self.assertEqual(as_delta_type(np.int32), DInt(DSize(32))) self.assertEqual(as_delta_type(np.int64), DInt(DSize(64))) self.assertEqual(as_delta_type(np.uint8), DChar()) self.assertEqual(as_delta_type(np.uint16), DUInt(DSize(16))) self.assertEqual(as_delta_type(np.uint32), DUInt(DSize(32))) self.assertEqual(as_delta_type(np.uint64), DUInt(DSize(64))) self.assertEqual(as_delta_type(float), DFloat()) self.assertEqual(as_delta_type(np.float32), DFloat(DSize(32))) self.assertEqual(as_delta_type(np.float64), DFloat(DSize(64))) self.assertEqual(as_delta_type(complex), DComplex()) self.assertEqual(as_delta_type(np.complex64), DComplex(DSize(64))) self.assertEqual(as_delta_type(np.complex128), DComplex(DSize(128))) # compound with self.assertRaises(DeltaTypeError): as_delta_type(Tuple[int, bool]) with self.assertRaises(DeltaTypeError): as_delta_type(List[int]) self.assertNotEqual(as_delta_type(str), DArray(DChar(), DSize(1024))) self.assertEqual(as_delta_type(str), DStr()) self.assertEqual(as_delta_type(RecBI), DRecord(RecBI)) # numpy compound self.assertEqual(as_delta_type(DArray(int, DSize(5)).as_numpy_type()), DArray(int, DSize(5))) self.assertEqual(as_delta_type(DStr().as_numpy_type()), DStr()) self.assertEqual( as_delta_type(DTuple([int, bool, float]).as_numpy_type()), DTuple([int, bool, float]) ) self.assertEqual(as_delta_type(DRecord(RecBI).as_numpy_type()), DRecord(RecBI)) self.assertEqual( as_delta_type(DUnion([bool, float, int]).as_numpy_type()), DUnion([bool, float, int]))
def test_delta_type(self): """Test mapping python objects to Deltaflow data types.""" # special with self.assertRaises(DeltaTypeError): delta_type(None) # primitive self.assertEqual(delta_type(False), DBool()) self.assertEqual(delta_type(np.bool_(False)), DBool()) self.assertEqual(delta_type(5), DInt(DSize(32))) self.assertEqual(delta_type(np.int16(5)), DInt(DSize(16))) self.assertEqual(delta_type(np.int32(5)), DInt(DSize(32))) self.assertEqual(delta_type(np.int64(5)), DInt(DSize(64))) self.assertEqual(delta_type(np.uint16(5)), DUInt(DSize(16))) self.assertEqual(delta_type(np.uint32(5)), DUInt(DSize(32))) self.assertEqual(delta_type(np.uint64(5)), DUInt(DSize(64))) self.assertEqual(delta_type(4.2), DFloat(DSize(32))) self.assertEqual(delta_type(np.float32(4.2)), DFloat(DSize(32))) self.assertEqual(delta_type(np.float64(4.2)), DFloat(DSize(64))) self.assertEqual(delta_type(3+1j), DComplex(DSize(64))) self.assertEqual(delta_type(np.complex64(3+1j)), DComplex(DSize(64))) self.assertEqual(delta_type(np.complex128(3+1j)), DComplex(DSize(128))) self.assertEqual(delta_type('c'), DChar()) # compound self.assertEqual(delta_type((1, True, 3.7)), DTuple([int, bool, float])) self.assertEqual(delta_type([1, 2, 4]), DArray(int, DSize(3))) self.assertEqual(delta_type(RecBI(True, 5)), DRecord(RecBI)) # numpy compound self.assertEqual(delta_type(np.array([1, 2, 3, 4, 5])), DArray(DInt(DSize(64)), DSize(5))) self.assertEqual(delta_type(np.array([1, 2.0, 3, 4, 5])), DArray(DFloat(DSize(64)), DSize(5))) self.assertEqual(delta_type( DStr(DSize(5)).as_numpy_object("abcde")), DStr(DSize(5))) self.assertEqual( delta_type(DTuple([int, float, bool] ).as_numpy_object((1, 2.0, True))), DTuple([int, float, bool]) ) self.assertEqual( delta_type(DRecord(RecBI).as_numpy_object(RecBI(True, 2))), DRecord(RecBI) ) self.assertEqual( delta_type(DUnion([bool, float, int]).as_numpy_object(5.0)), DUnion([bool, float, int]) ) # different combinations self.assertEqual(delta_type([(4, 4.3), (2, 3.3)]), DArray(DTuple([int, float]), DSize(2)))
def test_DFloat(self): """Only 32 and 64 bits are supported.""" precision_dict = {32: -23, 64: -52} for bits, precision in precision_dict.items(): for _ in range(1000): self.check_float(random.uniform(-1, 1), DFloat(DSize(bits))) self.check(1 + 2**precision, DFloat(DSize(bits))) self.assertTrue(DeltaGraph.check_wire(DRaw(float), DRaw(float))) with self.assertRaises(DeltaTypeError): DeltaGraph.check_wire(DRaw(DFloat(DSize(32))), DRaw(DFloat(DSize(64))))
def test_DArray(self): # primitive elements are properly handled # int are passed as DInt, not DUInt self.check([1, 2, 3], DArray(DInt(), DSize(3))) # for floats use a dot # might be a potential problem, due to python silent type downcasting self.check([1.0, 2.0, 3.0], DArray(DFloat(), DSize(3))) # bool are passed as DBool, not DInt self.check([True, False, False], DArray(DBool(), DSize(3))) # encapsulation of compound types self.check([[1, 2, 3], [4, 5, 6]], DArray(DArray(DInt(), DSize(3)), DSize(2))) with self.assertRaises(DeltaTypeError): self.check([1, 2, 3, 4, 5, 6], DArray(DArray(DInt(), DSize(3)), DSize(2))) with self.assertRaises(AssertionError): self.check([1, 2, 3, 4, 5, 6], DArray(DInt(), DSize(6)), DArray(DArray(DInt(), DSize(3)), DSize(2))) # mixed types self.check([(1, 2, 3), (4, 5, 6)], DArray(DTuple([int, int, int]), DSize(2))) self.check(["hello", "world"], DArray(DStr(DSize(5)), DSize(2))) # numpy self.check_numpy([1, 2, 3, 4, 5], DArray(int, DSize(5)))
def test_str(self): """Test string representation of data types.""" # primitive self.assertEqual(str(DInt()), "DInt32") self.assertEqual(str(DInt(DSize(64))), "DInt64") self.assertEqual(str(DUInt()), "DUInt32") self.assertEqual(str(DUInt(DSize(64))), "DUInt64") self.assertEqual(str(DBool()), "DBool") self.assertEqual(str(DChar()), "DChar8") self.assertEqual(str(DFloat()), "DFloat32") self.assertEqual(str(DFloat(DSize(64))), "DFloat64") # compound self.assertEqual(str(DArray(int, DSize(8))), "[DInt32 x 8]") self.assertEqual(str(DStr()), "DStr8192") self.assertEqual(str(DStr(DSize(100))), "DStr800") self.assertEqual(str(DTuple([int, bool])), "(DInt32, DBool)") self.assertEqual(str(DRecord(RecBIS)), "{x: DBool, y: DInt32, z: DStr8192}") self.assertEqual(str(DUnion([int, bool])), "<DBool | DInt32>") # compound: DUnion self.assertEqual(str(DUnion([int])), "<DInt32>") self.assertEqual(str(DUnion([int, DUnion([int, bool])])), "<DBool | DInt32>") self.assertEqual(str(DUnion([int, DUnion([int, DUnion([int, bool])])])), "<DBool | DInt32>") # encapsulation of various types self.assertEqual(str(DUnion([int, DTuple([int, bool])])), "<(DInt32, DBool) | DInt32>") self.assertEqual(str(DArray(DTuple([int, bool]), DSize(8))), "[(DInt32, DBool) x 8]") # special self.assertEqual(str(Top()), "T") self.assertEqual(str(DSize(5)), "5") self.assertEqual(str(DSize(NamespacedName("a", "b"))), "(a.b)") self.assertEqual(str(ForkedReturn(dict(x=int, y=bool, z=str))), "ForkedReturn(x:DInt32, y:DBool, z:DStr8192)")
def test_as_python_type(self): """Test conversion of Deltaflow data types to python.""" # special self.assertEqual(Top().as_python_type(), Any) # primitive self.assertEqual(DInt(DSize(32)).as_python_type(), int) self.assertEqual(DInt(DSize(64)).as_python_type(), int) self.assertEqual(DUInt(DSize(32)).as_python_type(), int) self.assertEqual(DUInt(DSize(64)).as_python_type(), int) self.assertEqual(DBool().as_python_type(), bool) with self.assertRaises(NotImplementedError): DChar().as_python_type() self.assertEqual(DFloat(DSize(32)).as_python_type(), float) self.assertEqual(DFloat(DSize(64)).as_python_type(), float) self.assertEqual(DComplex(DSize(64)).as_python_type(), complex) self.assertEqual(DComplex(DSize(128)).as_python_type(), complex) # compound self.assertEqual(DTuple([int, bool]).as_python_type(), Tuple[int, bool]) self.assertEqual(DTuple([int, DTuple([int, bool])]).as_python_type(), Tuple[int, Tuple[int, bool]]) self.assertEqual(DArray(int, DSize(3)).as_python_type(), List[int]) self.assertEqual(DStr().as_python_type(), str) self.assertEqual(DStr(DSize(10)).as_python_type(), str) self.assertEqual(DRecord(RecBI).as_python_type(), RecBI) self.assertEqual(DRecord(RecBDi).as_python_type(), RecBDi) self.assertNotEqual(DRecord(RecBI).as_python_type(), RecBI_copy) # compound: DUnion self.assertEqual(DUnion([bool, int]).as_python_type(), Union[bool, int]) self.assertEqual(DUnion([bool, DTuple([int, bool])]).as_python_type(), Union[bool, Tuple[int, bool]])
def test_size(self): """Test how many bits each data type takes.""" # primitive self.assertEqual(DInt().size, DSize(32)) self.assertEqual(DUInt().size, DSize(32)) self.assertEqual(DBool().size, DSize(1)) self.assertEqual(DChar().size, DSize(8)) self.assertEqual(DFloat().size, DSize(32)) # compound self.assertEqual(DTuple([int, bool]).size, DSize(33)) self.assertEqual(DArray(int, DSize(10)).size, DSize(320)) self.assertEqual(DStr().size, DSize(8192)) self.assertEqual(DRecord(RecBI).size, DSize(33)) # compound: DUnion self.assertEqual(DUnion([bool]).size, DSize(9)) self.assertEqual(DUnion([int, bool]).size, DSize(40)) self.assertEqual(DUnion([int, DTuple([int, int])]).size, DSize(2*32+8))
def test_DFloat(self): """Only 32 and 64 bits are supported.""" precision_dict = {32: -23, 64: -52} for bits, precision in precision_dict.items(): for _ in range(1000): self.check_float(random.uniform(-1, 1), DFloat(DSize(bits))) self.check(1 + 2**precision, DFloat(DSize(bits))) # Booleans and ints can be packed self.check(True, DFloat(DSize(bits))) self.check(False, DFloat(DSize(bits))) self.check(3, DFloat(DSize(bits))) # Strings and complex numbers are not packable self.assertFalse(DFloat(DSize(bits)).is_packable("abc")) self.assertFalse(DFloat(DSize(bits)).is_packable(3+5j))
def test_DOptiona_of_DUnion(self): port = InPort(NamespacedName("test_name", None), DOptional(DUnion([DInt(), DFloat()])), None, 0) self.assertEqual(port.port_type, DUnion([DInt(), DFloat()])) self.assertEqual(port.is_optional, True)
def test_DFloat_object(self): self.check_float(3.14, DFloat(DSize(32))) self.check_float(6.28, DFloat(DSize(64)))
def test_DFloat_type(self): self.assertEqual(DFloat(DSize(32)).as_numpy_type(), np.float32) self.assertEqual(DFloat(DSize(64)).as_numpy_type(), np.float64) with self.assertRaises(NotImplementedError): DUInt(DSize(128)).as_numpy_type()