```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["body", "extra"],
            "msg": "Extra inputs are not permitted",
            "input": "Mr. Poopybutthole"
        }
    ]
}
```

## Підсумок { #summary }

  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,
                             /*opers=*/nullptr, 1, inputs, 1, outputs,
                             /*output_names=*/nullptr,
                             /*opts=*/nullptr, description, s.get());

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus"
        }
    ]
}
```

## Заключение { #summary }

Вы можете использовать **Pydantic-модели** для объявления **query-параметров** в **FastAPI**. 😎

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["body", "extra"],
            "msg": "Extra inputs are not permitted",
            "input": "Mr. Poopybutthole"
        }
    ]
}
```

## Resumo { #summary }

例如，如果客户端尝试发送一个值为 `plumbus` 的 `tool` header，客户端将收到一个**错误**响应，告知他们 header 参数 `tool` 是不允许的：

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["header", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus",
        }
    ]
}
```

## 禁用下划线转换 { #disable-convert-underscores }

与常规的 header 参数相同，当参数名中包含下划线时，会**自动转换为连字符**。

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus"
        }
    ]
}
```

## Resumo { #summary }

Você pode utilizar **modelos Pydantic** para declarar **parâmetros de consulta** no **FastAPI**. 😎

        // getObject should handle various inputs
        try {
            WebApiUtil.getObject("validKey");
            WebApiUtil.getObject("");
            WebApiUtil.getObject(null);
        } catch (Exception e) {
            fail("getObject should handle parameter validation gracefully: " + e.getMessage());
        }

        // setError should handle various inputs
        try {

        )
        for field in list(fields) + list(unique_flat_model_fields)
    ]
    field_mapping, definitions = schema_generator.generate_definitions(inputs=inputs)
    for item_def in cast(dict[str, dict[str, Any]], definitions).values():
        if "description" in item_def:
            item_description = cast(str, item_def["description"]).split("\f")[0]

    return new FunctionForMapNoDefault<>(map);
  }

  /**
   * Returns a function which performs a map lookup with a default value. The function created by
   * this method returns {@code defaultValue} for all inputs that do not belong to the map's key
   * set. See also {@link #forMap(Map)}, which throws an exception in this case.
   *
   * <p>Prefer to write the lambda expression {@code k -> map.getOrDefault(k, defaultValue)}

        @DisplayName("Returns 0 with null array")
        void nullArray() {
            assertEquals(0, response.writeParameterWordsWireFormat(null, 0));
        }

        @ParameterizedTest
        @ValueSource(ints = { 0, 5, 9 })
        @DisplayName("Returns 0 with valid array and various indices")
        void nonNullArray(int index) {
            byte[] arr = new byte[10];