feat(Probability): add PMF lemmas for maps, products, and failure bounds - #1063
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Adds further general lemmas to `Cslib.Probability.PMF`: point masses under injective maps and equivalences, lower bounds by a single preimage or execution path, congruence of `bind` and `map` on the support, dependent pairing and the marginals of a pairing bind, point masses of images of a uniform input, and `uniformOfFintype_prod`, which identifies a uniform pair with two independent uniform samples. `toOuterMeasure_bind_failure_le` bounds the failure probability of a randomized continuation: if every possible input satisfying a precondition leads to failure with probability at most `error`, the composite fails with probability at most `P(precondition fails) + error`. It needs no independence or finiteness assumption. `toOuterMeasure_rate_ge` derives the averaging consequence: if a test beats a threshold on average, the excess mass consists of inputs whose conditional acceptance probability reaches the threshold.
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Deferred from the CSLib crypto stack. These general PMF lemmas belong in Mathlib, and the remaining proposed stack does not require them.
The implementation is preserved on this branch for later upstreaming. It includes map and support-congruence lemmas, dependent pairing, uniform products, and failure-probability bounds.
Originally composed with Claude Code.