Or

Description

Or applies a logical OR to two aligned input streams: outputs 1.0 when at least one input is nonzero, and 0.0 otherwise. Any nonzero floating-point value (not just 1.0) counts as true.

NaN handling: if either input is NaN at step t, the output is NaN.

Parameters: Or takes no parameters.

Examples

Usage example

import numpy as np
from screamer import Or

m1 = np.array([1.0, 0.0, 1.0, 1.0, 0.0, 1.0])
m2 = np.array([1.0, 0.0, 0.0, 1.0, 1.0, 1.0])
print(Or()(m1, m2))     # -> [1. 0. 1. 1. 1. 1.]  (1.0 where at least one mask is nonzero)

[1. 0. 1. 1. 1. 1.]