flopscope.numpy.logical

Compute the truth value of NOT x element-wise.

Adapted from NumPy docs np.logical_not

Areacore

Typecounted

Cost

\text{numel}(\text{output})

Flopscope Context

Element-wise logical NOT.

Parameters

x:array_like: Logical NOT is applied to the elements of x.
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 out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized 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.

y:bool or ndarray of bool: Boolean result with the same shape as x of the NOT operation on elements of x. This is a scalar if x is a scalar.

>>> import flopscope.numpy as fnp
>>> flops.logical_not(3)
False
>>> flops.logical_not([True, False, 0, 1])
array([False,  True,  True, False])

>>> x = flops.arange(5)
>>> flops.logical_not(x<3)
array([False, False, False,  True,  True])