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:
  test:
    strategy:
      matrix:
        os: [ windows-latest, macos-latest ]
        python-version: [ "3.14" ]
        include:
          - os: ubuntu-latest

# LLM-Testdatei { #llm-test-file }

Dieses Dokument testet, ob das <abbr title="Large Language Model – Großes Sprachmodell">LLM</abbr>, das die Dokumentation übersetzt, den <abbr title="General Prompt – Allgemeiner Prompt">`general_prompt`</abbr> in `scripts/translate.py` und den sprachspezifischen Prompt in `docs/{language code}/llm-prompt.md` versteht. Der sprachspezifische Prompt wird an `general_prompt` angehängt.

# 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`.

# 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.

  "durations" : [ {
    "testProject" : "createLotsOfTasks",
    "linux" : 216
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.VerboseTestOutputPerformanceTest.cleanTest test with verbose test output",
  "durations" : [ {
    "testProject" : "withVerboseJUnit",
    "linux" : 207
  }, {
    "testProject" : "withVerboseTestNG",
    "linux" : 198
  } ]
}, {

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import com.gradle.develocity.agent.gradle.test.DevelocityTestConfiguration
import gradlebuild.archtest.PackageCyclesExtension

plugins {
    `jvm-test-suite`
    id("gradlebuild.dependency-modules")
    id("gradlebuild.code-quality")
    id("gradlebuild.jvm-compile")
}

      - name: Run Tests
        run: ./gradlew test allTests -Dtest.java.version=11

      - name: Publish Test Report
        if: github.repository == 'square/okhttp' && github.ref == 'refs/heads/master'
        uses: mikepenz/action-junit-report@v6
        with:
          report_paths: '**/build/test-results/*/TEST-*.xml'
          check_name: OpenJDK 11 Test Report

      - name: Publish Test Results

#### 3. Clone Test Data

Required for SearchApiTests:

    $ git clone https://github.com/codelibs/fess-testdata.git /tmp/fess-testdata

#### 4. Run Integration Tests

    $ mvn test -P integrationTests -Dtest.fess.url="http://localhost:8080" -Dtest.search_engine.url="http://localhost:9201"

To run a single test case:

}

@test "Pip package generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow/tools/pip_package:wheel" \
    "//tensorflow/tools/pip_package:licenses"
}

# This test ensures that all the targets built into the Python package include
# their dependencies. It's a rewritten version of the "smoke test", an older

class Dep:
    def __call__(self, request: Request):
        return "test"


@needs_py310
def test_stringified_annotations():
    app = FastAPI()

    client = TestClient(app)

    @app.get("/test/")
    def call(test: Annotated[str, Depends(Dep())]):
        return {"test": test}

    response = client.get("/test")