name: Build Docs
on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  changes:
    runs-on: ubuntu-latest
    # Required permissions
    permissions:
      pull-requests: read
    # Set job outputs to values from filter step
    outputs:
      docs: ${{ steps.filter.outputs.docs }}
    steps:
    - uses: actions/checkout@v6

test.tar data/folder/file.html テスト data/file.txt テキスト...

# Archivo de prueba de LLM { #llm-test-file }

Este documento prueba si el <abbr title="Large Language Model – Modelo de lenguaje grande">LLM</abbr>, que traduce la documentación, entiende el `general_prompt` en `scripts/translate.py` y el prompt específico del idioma en `docs/{language code}/llm-prompt.md`. El prompt específico del idioma se agrega al final de `general_prompt`.

@pytest.fixture(scope="module")
def client() -> Iterator[TestClient]:
    with TestClient(app) as client:
        yield client


def _bench_get(benchmark, client: TestClient, path: str) -> tuple[int, bytes]:
    warmup = client.get(path)
    assert warmup.status_code == 200

    def do_request() -> tuple[int, bytes]:
        response = client.get(path)

    Test test =
        builder
            .usingGenerator("yam")
            .named("yam")
            .withFeatures(CollectionFeature.NONE)
            .withSetUp(setUpRunnable)
            .withTearDown(tearDownRunnable)
            .createTestSuite();
    TestResult result = new TestResult();
    int timesMyTesterWasRunBeforeSuite = MyTester.timesTestClassWasRun;
    test.run(result);

<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <groupId>org.apache.maven.plugins</groupId>
  <artifactId>maven-plugin-plugin</artifactId>
  <version>0.1</version>
  <versioning>
    <latest>0.1</latest>
    <release>0.1</release>
    <versions>
      <version>0.1</version>
    </versions>
    <lastUpdated>20091023225046</lastUpdated>
  </versioning>

name: Flaking Test
description: Report flaky tests or jobs in Kubernetes CI
labels: kind/flake
body:
  - type: textarea
    id: jobs
    attributes:
      label: Which jobs are flaking?
      description: |
        Please only use this template for submitting reports about flaky tests or jobs (pass or fail with no underlying change in code) in Kubernetes CI.
        Links to go.k8s.io/triage and/or links to specific failures in spyglass are appreciated.

# Arquivo de teste de LLM { #llm-test-file }

Este documento testa se o <abbr title="Large Language Model – Modelo de Linguagem de Grande Porte">LLM</abbr>, que traduz a documentação, entende o `general_prompt` em `scripts/translate.py` e o prompt específico do idioma em `docs/{language code}/llm-prompt.md`. O prompt específico do idioma é anexado ao `general_prompt`.

Os testes adicionados aqui serão vistos por todos os autores dos prompts específicos de idioma.

        out the following fields. Before we begin, please make sure that the bug is still present in
        the [latest](https://github.com/google/guava/releases/latest) version of Guava available.
        If it's already fixed in the latest version of Guava, then please just update your Guava
        version instead.

  - type: input
    attributes:
      label: Guava Version

<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <groupId>org.apache.maven.plugins</groupId>
  <artifactId>maven-clean-plugin</artifactId>
  <version>0.1</version>
  <versioning>
    <latest>0.1</latest>
    <release>0.1</release>
    <versions>
      <version>0.1</version>
    </versions>
    <lastUpdated>20091023224342</lastUpdated>
  </versioning>