* {@code o} is an instance of {@code Entry}, it is wrapped using {@link #unmodifiableEntry} to
   * protect against a possible nefarious equals method.
   *
   * <p>Note that {@code c} is the backing (delegate) collection, rather than the forwarding
   * collection.
   *
   * @param c the delegate (unwrapped) collection of map entries
   * @param o the object that might be contained in {@code c}

   * {@code o} is an instance of {@code Entry}, it is wrapped using {@link #unmodifiableEntry} to
   * protect against a possible nefarious equals method.
   *
   * <p>Note that {@code c} is the backing (delegate) collection, rather than the forwarding
   * collection.
   *
   * @param c the delegate (unwrapped) collection of map entries
   * @param o the object that might be contained in {@code c}

`tf.compat.v1.mixed_precision.LossScale` in the constructor, which defaulted to a dynamic loss scale for the `"mixed_float16"` policy and no loss scale for other policies. In `Model.compile`, if the model's policy had a loss scale, the optimizer would be wrapped with a `LossScaleOptimizer`. With the non-experimental `Policy`, there is no loss scale associated with the `Policy`, and `Model.compile` wraps the optimizer with a `LossScaleOptimizer` if and only if the policy is a `"mixed_float16"` policy. If you...

* ✨ Add support for wrapped functions (e.g. `@functools.wraps()`) used with forward references. PR [#5077](https://github.com/fastapi/fastapi/pull/5077) by [@lucaswiman](https://github.com/lucaswiman).
* ✨ Handle wrapped dependencies. PR [#9555](https://github.com/fastapi/fastapi/pull/9555) by [@phy1729](https://github.com/phy1729).

### Fixes