flopscope.stats.uniform.cdf

flopscope.stats.uniform.cdf(x, loc=0, scale=1)[flopscope source]

Evaluate the cumulative distribution function.

Parameters

x:array_like: Points at which to evaluate the cumulative probability.
loc:float, optional: Lower bound of the support. Defaults to 0.
scale:float, optional: Width of the support interval. Defaults to 1.

Returns

:FlopscopeArray: Cumulative probability evaluated elementwise at x.

Notes

Equivalent to scipy.stats.uniform.cdf(x, loc, scale). FLOP cost: 4 * numel(x) (composite: sub + div + 2 clip compare/selects, weight 1.0).

Examples

>>> import flopscope.numpy as fnp
>>> import flopscope as flops
>>> x = flops.array([0.0, 0.5, 1.0])
>>> flops.round(flops.stats.uniform.cdf(x), 3)
array([0. , 0.5, 1. ])