This utility can be used to warmstart an embeddings matrix so you
        reuse previously-learned word embeddings when working with a new set
        of words which may include previously unseen words (the embedding
        vectors for unseen words will be randomly initialized).

*   `tf.Variable`:

    *   Added `CompositeTensor` as a baseclass to `ResourceVariable`. This

int // Round keys, where only the first (rounds + 1) × (128 ÷ 32) words are used. enc [60]uint32 dec [60]uint32 } const ( // AES-128 has 128-bit keys, 10 rounds, and uses 11 128-bit round keys // (11×128÷32 = 44 32-bit words). // AES-192 has 192-bit keys, 12 rounds, and uses 13 128-bit round keys // (13×128÷32 = 52 32-bit words). // AES-256 has 256-bit keys, 14 rounds, and uses 15 128-bit round keys // (15×128÷32 = 60 32-bit words). aes128KeySize = 16 aes192KeySize = 24 aes256KeySize = 32 aes128Rounds...

* 💚 Fix disabling install of Material for MkDocs Insiders in forks, strike 1 ⚾. PR [#2340](https://github.com/tiangolo/fastapi/pull/2340) by [@tiangolo](https://github.com/tiangolo).
* 🐛 Fix disabling Material for MkDocs Insiders install in forks. PR [#2339](https://github.com/tiangolo/fastapi/pull/2339) by [@tiangolo](https://github.com/tiangolo).