@app.get("/users")
    async def get_user() -> User:
        return {"username": "alice", "role": "admin"}

    client = TestClient(app)
    return client


@needs_py310
def test_get(client: TestClient):
    response = client.get("/users")
    assert response.json() == {"username": "alice", "role": "admin"}


@needs_py310
def test_openapi_schema(client: TestClient):

    * Adds support for int2 type.
    * Adds support for int2/int4 in tfl.cast .
    * Adds support for SRQ int2 in tfl.fully_connected.
    * Adds support for int4 in tfl.slice.
    * Adds support for uint4 type.

*  `tf.image`
    * Adds JPEG XL support in decode_image.

### Bug Fixes and Other Changes

* `tf.data`

The <i>capacity</i> is a measure of that extent: it is the sum of
the length of the slice and the length of the array beyond the slice;
a slice of length up to that capacity can be created by
<a href="#Slice_expressions"><i>slicing</i></a> a new one from the original slice.
The capacity of a slice <code>a</code> can be discovered using the
built-in function <a href="#Length_and_capacity"><code>cap(a)</code></a>.
</p>

        from = partitionPoint + 1;
      }
    }
  }

  /**
   * Performs a partition operation on the slice of {@code array} with elements in the range [{@code
   * from}, {@code to}]. Uses the median of {@code from}, {@code to}, and the midpoint between them
   * as a pivot. Returns the index which the slice is partitioned around, i.e. if it returns {@code