mars.tensor.
invert
Compute bit-wise inversion, or bit-wise NOT, element-wise.
Computes the bit-wise NOT of the underlying binary representation of the integers in the input tensors. This ufunc implements the C/Python operator ~.
~
For signed integer inputs, the two’s complement is returned. In a two’s-complement system negative numbers are represented by the two’s complement of the absolute value. This is the most common method of representing signed integers on computers 1. A N-bit two’s-complement system can represent every integer in the range \(-2^{N-1}\) to \(+2^{N-1}-1\).
x (array_like) – Only integer and boolean types are handled.
out (Tensor, None, or tuple of Tensor and None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs –
out – Result.
array_like
See also
bitwise_and, bitwise_or, bitwise_xor, logical_not
bitwise_and
bitwise_or
bitwise_xor
logical_not
Notes
bitwise_not is an alias for invert:
>>> import mars.tensor as mt
>>> mt.bitwise_not is mt.invert True
References
Wikipedia, “Two’s complement”, http://en.wikipedia.org/wiki/Two’s_complement
Examples
We’ve seen that 13 is represented by 00001101. The invert or bit-wise NOT of 13 is then:
00001101
>>> mt.invert(mt.array([13], dtype=mt.uint8)).execute() array([242], dtype=uint8)
The result depends on the bit-width:
>>> mt.invert(mt.array([13], dtype=mt.uint16)).execute() array([65522], dtype=uint16)
When using signed integer types the result is the two’s complement of the result for the unsigned type:
>>> mt.invert(mt.array([13], dtype=mt.int8)).execute() array([-14], dtype=int8)
Booleans are accepted as well:
>>> mt.invert(mt.array([True, False])).execute() array([False, True])