boofun.analysis.sensitivity

Sensitivity-related helpers ported from legacy routines.

Functions

`sensitivity_at`(f, x)	Return the sensitivity of `f` at input index `x`.
`sensitivity_profile`(f)	Return per-input sensitivities as a NumPy array.
`total_influence_via_sensitivity`(f)	Compute total influence via the average sensitivity definition.

boofun.analysis.sensitivity.sensitivity_at(f: BooleanFunction, x: int) → int[source]: Return the sensitivity of f at input index x.

boofun.analysis.sensitivity.sensitivity_profile(f: BooleanFunction) → ndarray[source]: Return per-input sensitivities as a NumPy array.

boofun.analysis.sensitivity.total_influence_via_sensitivity(f: BooleanFunction) → float[source]: Compute total influence via the average sensitivity definition.