def test_integer_downcast_signed_to_unsigned(self):
arr, nt = ic.downcast_integers(unsigned_byte_arr().astype(np.int64))
self.assertEqual(10, len(arr))
self.assertEqual(arr[0], 1)
self.assertEqual(arr[9], 10)
self.assertEqual(nt.kind, t.NumpyKinds.UNSIGNED)
self.assertEqual(nt.size, t.NumpySizes.BYTE)
return
def test_integer_downcast_downcast_to_byte_signed(self):
arr, nt = ic.downcast_integers(integer_byte_arr().astype(np.int16))
self.assertEqual(11, len(arr))
self.assertEqual(arr[0], -5)
self.assertEqual(arr[10], 5)
self.assertEqual(nt.kind, t.NumpyKinds.INTEGER)
self.assertEqual(nt.size, t.NumpySizes.BYTE)
return
def integer_hash_decompression(arr: np.array, transform: IntegerHashTransformation) -> np.array:
"""
Decompresses a hashed integer array
:param arr: compressed key array
:param transform: hash transform info
:return: decompressed array
"""
logging.debug('decompressing hash array with info: {}'.format(transform))
ret_array = np.zeros(arr.shape, dtype=transform.key_values_type.to_dtype())
for i in range(len(arr)):
ret_array[i] = transform.key_values[arr[i]]
return downcast_integers(ret_array)[0]
def integer_minimize_decompression(arr: np.array, transform: IntegerMinimizeTransformation) -> np.array:
"""
Decompresses a minimize transform
:param arr: minimized array
:param transform: transformation info
:return: un-minimized array
"""
logging.debug('decompressing minimized array with info: {}'.format(transform))
ret_array_type = t.NumpyType(
kind=t.NumpyKinds.from_dtype(arr.dtype),
size=t.NumpySizes.DOUBLE # make it as big as possible then shrink after addition
)
return downcast_integers(arr.astype(ret_array_type.to_dtype()) + transform.reference_value)[0]
def integer_derivative_decompression(arr: np.array, transform: IntegerElementWiseTransformation) -> np.array:
"""
Decompresses an element-wise derivative transform
:param arr: derivative array
:param transform: transformation info
:return: decompressed array
"""
logging.debug('decompressing derivative array with info: {}'.format(transform))
ret_array_type = t.NumpyType(
kind=t.NumpyKinds.from_dtype(arr.dtype),
size=t.NumpySizes.DOUBLE
)
ret_array = np.cumsum(arr.astype(ret_array_type.to_dtype())) + transform.reference_value
ret_array = np.insert(ret_array, 0, transform.reference_value)
return downcast_integers(ret_array)[0]
def test_integer_downcast_kind_error(self):
with self.assertRaises(x.NumpyDtypeKindInvalidException):
ic.downcast_integers(np.array([], dtype=np.float32))
return
