logical_xor_op¶

class odl.ufunc_ops.ufunc_ops.logical_xor_op(*args, **kwargs)¶

Bases: Operator

Compute the truth value of x1 XOR x2, element-wise.

See also

numpy.logical_xor

Examples

>>> import odl
>>> space = odl.rn(3)
>>> op = odl.ufunc_ops.logical_xor(space)
>>> print(op([[-1.,  1.,  2.], [ 3.,  4.,  5.]]))
[False, False, False]

Attributes:

adjoint: Adjoint of this operator (abstract).
domain: Set of objects on which this operator can be evaluated.
inverse: Return the operator inverse.
is_functional: True if this operator's range is a Field.
is_linear: True if this operator is linear.
range: Set in which the result of an evaluation of this operator lies.

Methods

`__call__`(x[, out])	Return `self(x[, out, **kwargs])`.
`derivative`(point)	Return the operator derivative at `point`.
`norm`([estimate])	Return the operator norm of this operator.

__init__(space)¶

Initialize an instance.

Parameters:

spaceTensorSpace: The domain of the operator.