submodules to `tf.saved_model` module. New endpoints are added in V1 and
        V2 but existing endpoint removals are only applied in V2.
    *   Deprecates behavior where device assignment overrides collocation
        constraints inside a collocation context manager.
*   Keras & Python API
    *   Add to Keras functionality analogous to
        `tf.register_tensor_conversion_function`.

* ♻ Move internal variable for errors in `jsonable_encoder` to put related code closer. PR [#4560](https://github.com/tiangolo/fastapi/pull/4560) by [@GuilleQP](https://github.com/GuilleQP).
* ♻ Simplify conditional assignment in `fastapi/dependencies/utils.py`. PR [#4597](https://github.com/tiangolo/fastapi/pull/4597) by [@cikay](https://github.com/cikay).

return new(Point).Set(generator) } func (v *projCached) Zero() *projCached { v.YplusX.One() v.YminusX.One() v.Z.One() v.T2d.Zero() return v } func (v *affineCached) Zero() *affineCached { v.YplusX.One() v.YminusX.One() v.T2d.Zero() return v } // Assignments. // Set sets v = u, and returns v. func (v *Point) Set(u *Point) *Point { *v = *u return v } // Encoding. // Bytes returns the canonical 32-byte encoding of v, according to RFC 8032, // Section 5.1.2. func (v *Point) Bytes() []byte { // This function...