braintools.spike.bitwise

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braintools.spike.bitwise#

braintools.spike.bitwise(x, y, op)#

Perform bitwise operations on spike tensors.

This function applies various bitwise operations on spike tensors based on the specified operation. It supports the 'or', 'and', 'iand', 'xor' and 'ixor' operations.

Parameters:

  • x (Array | ndarray | bool | number | bool | int | float | complex | Quantity) – The first input spike tensor.

  • y (Array | ndarray | bool | number | bool | int | float | complex | Quantity) – The second input spike tensor.

  • op (str) – The bitwise operation to perform.

Returns:

The result of the bitwise operation applied to the input tensors.

Return type:

Array | ndarray | bool | number | bool | int | float | complex | Quantity

Raises:

NotImplementedError – If an unsupported bitwise operation is specified.

See also

bitwise_or, bitwise_and, bitwise_iand, bitwise_xor, bitwise_ixor

Notes

For numeric inputs the function uses the following expressions; boolean inputs use the equivalent logical functions and return a boolean mask:

\[\begin{split}\begin{array}{ccc} \hline \text { Mode } & \text { Expression for } \mathrm{g}(\mathrm{x}, \mathrm{y}) & \text { Code for } \mathrm{g}(\mathrm{x}, \mathrm{y}) \\ \hline \text { AND } & x \cap y & x \cdot y \\ \text { IAND } & (\neg x) \cap y & (1-x) \cdot y \\ \text { OR } & x \cup y & (x+y)-(x \cdot y) \\ \text { XOR } & (x \cup y) \cap \neg (x \cap y) & x+y-2 x \cdot y \\ \text { IXOR } & (x \cap \neg y) \cup (\neg x \cap y) & x \cdot (1-y)+(1-x) \cdot y \\ \hline \end{array}\end{split}\]

Examples

>>> import jax.numpy as jnp
>>> import braintools
>>> x = jnp.array([0, 0, 1, 1])
>>> y = jnp.array([0, 1, 0, 1])
>>> braintools.spike.bitwise(x, y, 'xor')
Array([0, 1, 1, 0], dtype=int32)
>>>
>>> braintools.spike.bitwise(x.astype(bool), y.astype(bool), 'and')
Array([False, False, False,  True], dtype=bool)
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