flopscope.stats.truncnorm

This object mirrors scipy.stats.truncnorm.

a and b are standardized lower and upper bounds. The truncated support is [a * scale + loc, b * scale + loc], and both bounds appear before loc and scale to match SciPy's signature. pdf deducts 28 * numel(broadcast(input, a, b, loc, scale)) FLOPs (composite: z(2)+std_norm_pdf(20)+div(1)+bounds(5), FMA=2, weight 1.0; calibrated alpha 28.0). cdf deducts 51 * numel(broadcast(input, a, b, loc, scale)) FLOPs (composite: z(2)+std_norm_cdf(46)+result(3)+2 where(4), FMA=2, weight 1.0; calibrated alpha 50.6). ppf deducts 81 * numel(broadcast(input, a, b, loc, scale)) FLOPs (composite: erf + ndtri rational approx + arithmetic, weight 1.0; audit-2 verified).