As the type, put the `List` that you imported from `typing`.

As the list is a type that contains some internal types, you put them in square brackets:

```Python hl_lines="4"
{!> ../../docs_src/python_types/tutorial006.py!}
```

////

/// info

Those internal types in the square brackets are called "type parameters".

In this case, `str` is the type parameter passed to `List` (or `list` in Python 3.9 and above).

    Function<Integer, Integer> square =
        new Function<Integer, Integer>() {
          @Override
          public Integer apply(Integer in) {
            return in * in;
          }
        };
    Multimap<String, Integer> transformed = Multimaps.transformValues(multimap, square);
    assertThat(transformed.entries())
        .containsExactly(

/*
 * Copyright (C) 2018 Square, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

Pela especificação, você deve retornar um JSON com um `access_token` e um `token_type`, o mesmo que neste exemplo.

Isso é algo que você mesmo deve fazer em seu código e certifique-se de usar essas chaves JSON.

É quase a única coisa que você deve se lembrar de fazer corretamente, para estar em conformidade com as especificações.

De resto, **FastAPI** cuida disso para você.

///

## Atualize as dependências

    *   DType is no longer convertible to an int. Use `dtype.as_datatype_enum`
        instead of `int(dtype)` to get the same result.
    *   Support both binary and -1/1 label input in v2 hinge and squared hinge
        losses.
    *   Added `LinearOperator.adjoint` and `LinearOperator.H` (alias).
    *   Expose CriticalSection in core as `tf.CriticalSection`.
    *   Enhanced graphviz output.