multi-hot, or tf-idf encoded representations
    *   `CategoryCrossing`: create new categorical features representing
        co-occurrences of previous categorical feature values
    *   `Hashing`: the hashing trick, for large-vocabulary categorical features
    *   `Discretization`: turn continuous numerical features into categorical
        features by binning their values

* 🌐 Add Chinese translation for Tutorial - Debugging. PR [#2737](https://github.com/tiangolo/fastapi/pull/2737) by [@blt232018](https://github.com/blt232018).
* 🌐 Add Chinese translation for Tutorial - Security - OAuth2 with Password (and hashing), Bearer with JWT tokens. PR [#2642](https://github.com/tiangolo/fastapi/pull/2642) by [@waynerv](https://github.com/waynerv).

testingOnlyRejection func() // Signature is an ECDSA signature, where r and s are represented as big-endian // byte slices of the same length as the curve order. type Signature struct { R, S []byte } // Sign signs a hash (which shall be the result of hashing a larger message with // the hash function H) using the private key, priv. If the hash is longer than // the bit-length of the private key's curve order, the hash will be truncated // to that length. func Sign[P Point[P], H fips140.Hash](c *Curve[P],...