name: Test

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize
  schedule:
    # cron every week on monday
    - cron: "0 0 * * 1"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"

   *
   * @param array a <i>nonempty</i> array of unsigned {@code long} values
   * @return the value present in {@code array} that is less than or equal to every other value in
   *     the array according to {@link #compare}
   * @throws IllegalArgumentException if {@code array} is empty
   */
  public static long min(long... array) {
    checkArgument(array.length > 0);

      delegate.test();
    }
    return this;
  }

  private void testItems() {
    for (T item : items) {
      /*
       * TODO(cpovirk): consider no longer running these equivalent() tests on every Equivalence,
       * since the Equivalence base type now implements this logic itself
       */
      assertTrue(item + " must be inequivalent to null", !equivalence.equivalent(item, null));

        this.dialects = new int[dvs.size()];
        int i = 0;
        for (final DialectVersion ver : dvs) {
            this.dialects[i] = ver.getDialect();
            i++;
        }

        if (config.getMaximumVersion().atLeast(DialectVersion.SMB210)) {

**FastAPI** **extraerá** los datos para **cada campo** de los **headers** en el request y te dará el modelo Pydantic que definiste.

## Revisa la Documentación

Puedes ver los headers requeridos en la interfaz de documentación en `/docs`:

<div class="screenshot">
<img src="/img/tutorial/header-param-models/image01.png">
</div>

## Prohibir Headers Extra

        else:
          ver = int(sm_compute_match.group(2))
          if ver < 30:
            print(
                'ERROR: TensorFlow only supports small CUDA compute'
                ' capabilities of sm_30 and higher. Please re-specify the list'
                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:

**FastAPI** **extraerá** los datos para **cada campo** de los **parámetros query** en el request y te proporcionará el modelo de Pydantic que definiste.

## Revisa la Documentación

Puedes ver los parámetros query en la UI de documentación en `/docs`:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

## Prohibir Parámetros Query Extras

        verifyNoInteractions(mockDir);
    }

    /**
     * Happy-path: a filter that rejects any name.
     */
    @ParameterizedTest
    @DisplayName("rejects every provided name")
    @ValueSource(strings = { "file.txt", "data.DAT", "a", "", "   " })
    void rejectsAnyNameReturnsFalse(String input) throws Exception {
        SmbFilenameFilter filter = (dir, name) -> false;

  <!--
   | With toolchains you can refer to installations on your system. This
   | way you don't have to hardcode paths in your pom.xml.
   |
   | Every toolchain consist of 3 elements:
   | * type: the type of tool. An often used value is 'jdk'. Toolchains-aware
   |   plugins should document which type you must use.
   |
   | * provides: A list of key/value-pairs.

E como o `Response` pode ser usado frequentemente para definir cabeçalhos e cookies, o **FastAPI** também o fornece em `fastapi.Response`.

///