gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
      absl::Span<AbstractTensorHandle*> result) const override;

  // Builds a tensor filled with ones with the same shape and dtype as `t`.
  Status BuildOnesLike(const TapeTensor& t,
                       AbstractTensorHandle** result) const override;

  // Looks up the ID of a Gradient.

* Add a **JSON Schema** for the response, in the OpenAPI *path operation*.
    * This will be used by the **automatic docs**.
    * It will also be used by automatic client code generation tools.

                                                   TF_Status* status);

// A handle to a tensor on a device.
//
// Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape,
// type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors
// placed in the memory of different devices or remote address spaces.
typedef struct TFE_TensorHandle TFE_TensorHandle;

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

    !!! tip
        Prefer to use the `Annotated` version if possible.

    ```Python hl_lines="105  107-115"
    {!> ../../../docs_src/security/tutorial005.py!}
    ```

## Verify the `username` and data shape

We verify that we get a `username`, and extract the scopes.

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create the Pydantic *models* / schemas

Create all the same Pydantic models as in the SQLAlchemy tutorial:

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create initial Pydantic *models* / schemas

(And, as you might like to try the thing yourself, some winter
day, I will tell you how the Dodo managed it.)

  First it marked out a race-course, in a sort of circle, (`the
exact shape doesn't matter,' it said,) and then all the party
were placed along the course, here and there.  There was no `One,
two, three, and away,' but they began running when they liked,

(And, as you might like to try the thing yourself, some winter
day, I will tell you how the Dodo managed it.)

  First it marked out a race-course, in a sort of circle, (`the
exact shape doesn't matter,' it said,) and then all the party
were placed along the course, here and there.  There was no `One,
two, three, and away,' but they began running when they liked,

- When using `RequestedToCapacityRatio` ScoringStrategy, empty shape will cause error. ([#106169](https://github.com/kubernetes/kubernetes/pull/106169), [@kerthcet](https://github.com/kerthcet)) [SIG Scheduling]
- `client-go` event library allows customizing spam filtering function.