`tf.keras.mixed_precision.experimental.LossScaleOptimizer`, the weights
        of the `DynanmicLossScale` are copied into the `LossScaleOptimizer`
        instead of being reused. This means modifying the weights of the
        `DynamicLossScale` will no longer affect the weights of the
        LossScaleOptimizer, and vice versa.

                                    "schema": {
                                        "title": "Response Read Keyword Weights Keyword Weights  Get",
                                        "type": "object",
                                        "additionalProperties": {"type": "number"},
                                    }
                                }
                            },
                        }
                    },

}

.announce-wrapper #announce-left div.item {
  display: none;
}

.announce-wrapper #announce-right {
  display: none;
}

.announce-wrapper #announce-right div.item {
  display: none;
}

.announce-wrapper .sponsor-badge {
  display: block;
  position: absolute;
  top: -10px;
  right: 0;
  font-size: 0.5rem;
  color: #e6e6e6;
  background-color: #666;
  border-radius: 10px;

def test_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_post_invalid_body(client: TestClient):
    data = {"foo": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 422, response.text
    assert response.json() == {

    position: relative;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    /* Custom line-height */
    line-height: 1.2;
}

[data-termynal]:before {
    content: '';
    position: absolute;
    top: 15px;
    left: 15px;
    display: inline-block;
    width: 15px;
    height: 15px;
    border-radius: 50%;
    /* A little hack to display the window buttons in one pseudo element. */

from fastapi.testclient import TestClient

from docs_src.cors.tutorial001_py39 import app


def test_cors():
    client = TestClient(app)
    # Test pre-flight response
    headers = {
        "Origin": "https://localhost.tiangolo.com",
        "Access-Control-Request-Method": "GET",
        "Access-Control-Request-Headers": "X-Example",
    }
    response = client.options("/", headers=headers)

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

А `dict`, который вы получите как `weights`, действительно будет иметь ключи типа `int` и значения типа `float`.

///

## Резюме { #recap }

Isso significa que, embora os clientes da API só possam enviar strings como chaves, desde que essas strings contenham inteiros puros, o Pydantic irá convertê-los e validá-los.

E o `dict` que você recebe como `weights` terá, na verdade, chaves `int` e valores` float`.

///

## Recapitulação { #recap }

The code following the `yield` statement is executed after the response:

{* ../../docs_src/dependencies/tutorial007_py39.py hl[5:6] *}

/// tip

You can use `async` or regular functions.

**FastAPI** will do the right thing with each, the same as with normal dependencies.

///

## A dependency with `yield` and `try` { #a-dependency-with-yield-and-try }