field.Element } // Constructors. func (v *projP2) Zero() *projP2 { v.X.Zero() v.Y.One() v.Z.One() return v } // identity is the point at infinity. var identity, _ = new(Point).SetBytes([]byte{ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) // NewIdentityPoint returns a new Point set to the identity. func NewIdentityPoint() *Point { return new(Point).Set(identity) } // generator is the canonical curve basepoint. See TestGenerator for the // correspondence of this...

 *   Updated `tf.keras.layers.BatchNormalization` to support masking of the inputs (`mask` argument) when computing the mean and variance.
 *   Add `tf.keras.layers.Identity`, a placeholder pass-through layer.
 *   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.

- Fix pull image error from multiple ACRs using azure managed identity ([#96355](https://github.com/kubernetes/kubernetes/pull/96355), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider]

* 📝 Simplify example for docs for Additional Responses, remove unnecessary `else`. PR [#4693](https://github.com/tiangolo/fastapi/pull/4693) by [@adriangb](https://github.com/adriangb).
* 📝 Update docs, compare enums with identity instead of equality. PR [#4905](https://github.com/tiangolo/fastapi/pull/4905) by [@MicaelJarniac](https://github.com/MicaelJarniac).