prediction-flavored outputs, in addition to the classification-flavored one.
    Building signatures from these allows TF Serving to honor requests using the
    different APIs (Classify, Regress, and Predict). Furthermore,
    `serving_input_receiver_fn()` may now specify alternative subsets of nodes
    that may act as inputs. This allows, for instance, producing a prediction

* 📝 Clarify in CORS docs that wildcards and credentials are mutually exclusive. PR [#9829](https://github.com/fastapi/fastapi/pull/9829) by [@dfioravanti](https://github.com/dfioravanti).
* ✏️ Fix typo in docstring. PR [#13532](https://github.com/fastapi/fastapi/pull/13532) by [@comp64](https://github.com/comp64).

Composite W = 55 B = 2e # End of iteration Result = Composite W = 55 B = 2a # W below is composite, but it is one of the worst case scenarios for # Miller-Rabin, from Wycheproof tests. 1/4 of witnesses report the value is # prime. Test that we correctly classify false and true witnesses. # b^m = w-1 Result = PossiblyPrime W = 550fda19f97cdfbd1393 B = 379c6027f818b5164bc1 # b^m = w-1 Result = PossiblyPrime W = 550fda19f97cdfbd1393 B = 3cc4b644965b2133caff # b^m = 1 Result = PossiblyPrime W = 550fda19f97cdfbd1393...