def random_noise_intensity()

in augly/image/intensity.py [0:0]

• 10 lines of code
• 5 McCabe index (conditional complexity)

def random_noise_intensity(mean: float, var: float, **kwargs) -> float:
    assert isinstance(mean, (float, int)), "mean must be a number"
    assert (
        isinstance(var, (float, int)) and var >= 0
    ), "var must be a non-negative number"

    max_mean_val = 100
    max_var_val = 10
    # Even if mean or var is 0, we want the intensity to be non-zero if the
    # other one is non-zero, so we add a little jitter away from 0
    mean_intensity = max(abs(mean / max_mean_val), 0.01)
    var_intensity = max(var / max_var_val, 0.01)
    return (mean_intensity * var_intensity) * 100.0