name: Latest Changes

on:
  pull_request_target:
    branches:
      - master
    types:
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:

name: Upgrade to latest wrapper

on:
  schedule:
    - cron: '0 4 * * *'
  workflow_dispatch:

permissions:
  contents: write

jobs:
  upgrade-latest-wrapper:
    runs-on: ubuntu-latest

    if: github.repository == 'gradle/gradle'

    steps:
      - name: Checkout repository
        uses: actions/checkout@v5
        with:
          ref: devprod/upgrade-to-latest-wrapper
          token: ${{ secrets.GITHUB_TOKEN }}

```sh
$ python3 select.py
840,United States of America,2,Medium,1950,1950.5,79233.218,79571.179,158804.395

840,United States of America,2,Medium,1951,1951.5,80178.933,80726.116,160905.035

840,United States of America,2,Medium,1952,1952.5,81305.206,82019.632,163324.851

840,United States of America,2,Medium,1953,1953.5,82565.875,83422.307,165988.190
....

    @Override
    public void running() {
      ServiceManagerState state = this.state.get();
      if (state != null) {
        state.transitionService(service, STARTING, RUNNING);
      }
    }

    @Override
    public void stopping(State from) {
      ServiceManagerState state = this.state.get();
      if (state != null) {
        state.transitionService(service, from, STOPPING);
      }
    }

  boolean isRunning();

  /** Returns the lifecycle state of the service. */
  State state();

  /**
   * If the service is {@linkplain State#STARTING starting} or {@linkplain State#RUNNING running},
   * this initiates service shutdown and returns immediately. If the service is {@linkplain
   * State#NEW new}, it is {@linkplain State#TERMINATED terminated} without having been started nor

## Recap { #recap }

Use multiple Pydantic models and inherit freely for each case.

Lo importante es que al usar tipos estándar de Python, en un solo lugar (en lugar de agregar más clases, decoradores, etc.), **FastAPI** hará gran parte del trabajo por ti.

/// info | Información

Si ya revisaste todo el tutorial y volviste para ver más sobre tipos, un buen recurso es <a href="https://mypy.readthedocs.io/en/latest/cheat_sheet_py3.html" class="external-link" target="_blank">la "cheat sheet" de `mypy`</a>.

   * versions.
   */
  public static Stats fromByteArray(byte[] byteArray) {
    checkNotNull(byteArray);
    checkArgument(
        byteArray.length == BYTES,
        "Expected Stats.BYTES = %s remaining , got %s",
        BYTES,
        byteArray.length);
    return readFrom(ByteBuffer.wrap(byteArray).order(ByteOrder.LITTLE_ENDIAN));
  }

  /**

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Detalhes técnicos

Você também pode usar `from starlette import status`.

**FastAPI** fornece o mesmo `starlette.status` como `fastapi.status` apenas como uma conveniência para você, o desenvolvedor. Mas vem diretamente da Starlette.

///

## Alterando o padrão

También puedes declarar un cuerpo como un `dict` con claves de algún tipo y valores de algún otro tipo.

De esta manera, no tienes que saber de antemano cuáles son los nombres válidos de campo/atributo (como sería el caso con modelos Pydantic).

Esto sería útil si deseas recibir claves que aún no conoces.

---

Otro caso útil es cuando deseas tener claves de otro tipo (por ejemplo, `int`).