invert(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Some inconsistencies with the Dask version may exist.

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 arrays. 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 . A N-bit two's-complement system can represent every integer in the range $-2^{N-1}$ to $+2^{N-1}-1$ .

Notes

:None:None:`bitwise_not` is an alias for invert :

>>> np.bitwise_not is np.invert  # doctest: +SKIP
True

Parameters

x : array_like

Only integer and boolean types are handled.

out : ndarray, None, or tuple of ndarray 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 array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where : array_like, optional

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

out : ndarray or scalar

Result. This is a scalar if x is a scalar.

This docstring was copied from numpy.invert.

See Also

binary_repr

Return the binary representation of the input number as a string.

bitwise_and

bitwise_or

bitwise_xor

logical_not

Examples

We've seen that 13 is represented by 00001101 . The invert or bit-wise NOT of 13 is then:

This example is valid syntax, but we were not able to check execution

>>> x = np.invert(np.array(13, dtype=np.uint8))  # doctest: +SKIP
... x  # doctest: +SKIP
242

This example is valid syntax, but we were not able to check execution

>>> np.binary_repr(x, width=8)  # doctest: +SKIP
'11110010'

The result depends on the bit-width:

This example is valid syntax, but we were not able to check execution

>>> x = np.invert(np.array(13, dtype=np.uint16))  # doctest: +SKIP
... x  # doctest: +SKIP
65522

This example is valid syntax, but we were not able to check execution

>>> np.binary_repr(x, width=16)  # doctest: +SKIP
'1111111111110010'

When using signed integer types the result is the two's complement of the result for the unsigned type:

This example is valid syntax, but we were not able to check execution

>>> np.invert(np.array([13], dtype=np.int8))  # doctest: +SKIP
array([-14], dtype=int8)

This example is valid syntax, but we were not able to check execution

>>> np.binary_repr(-14, width=8)  # doctest: +SKIP
'11110010'

Booleans are accepted as well:

This example is valid syntax, but we were not able to check execution

>>> np.invert(np.array([True, False]))  # doctest: +SKIP
array([False,  True])

The ~ operator can be used as a shorthand for np.invert on ndarrays.

This example is valid syntax, but we were not able to check execution

>>> x1 = np.array([True, False])  # doctest: +SKIP
... ~x1  # doctest: +SKIP
array([False,  True])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ufunc.invert

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