requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - run: mkdir coverage
      - name: Test
        if: matrix.codspeed != 'codspeed'
        run: bash scripts/test.sh
        env:
          COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}

## Tabs and colored boxes { #tabs-and-colored-boxes }

//// tab | Test

/// info
Some text
///

/// note
Some text
///

/// note | Technical details
Some text
///

/// check
Some text
///

/// tip
Some text
///

/// warning
Some text
///

/// danger
Some text
///

////

//// tab | Info

# 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`.

          cd dist
          tar xvf fastapi*.tar.gz
      - name: Install test dependencies
        run: |
          cd dist/fastapi*/
          pip install -r requirements-tests.txt
        env:
          TIANGOLO_BUILD_PACKAGE: ${{ matrix.package }}
      - name: Run source distribution tests
        run: |
          cd dist/fastapi*/
          bash scripts/test.sh
      - name: Build wheel distribution
        run: |

//// tab | Test

/// info | Info
Etwas Text
///

/// note | Hinweis
Etwas Text
///

/// note | Technische Details
Etwas Text
///

/// check | Testen
Etwas Text
///

/// tip | Tipp
Etwas Text
///

/// warning | Achtung
Etwas Text
///

/// danger | Gefahr
Etwas Text
///

////

//// tab | Info

# Тестовый файл LLM { #llm-test-file }

Этот документ проверяет, понимает ли <abbr title="Large Language Model – Большая языковая модель">LLM</abbr>, переводящая документацию, `general_prompt` в `scripts/translate.py` и языковой специфичный промпт в `docs/{language code}/llm-prompt.md`. Языковой специфичный промпт добавляется к `general_prompt`.

Тесты, добавленные здесь, увидят все создатели языковых промптов.

Использование:

# 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
  } ]
}, {

      - name: Generate test class runtime JSON
        run: |
          cd /tmp/gradle-ci-health
          ./gradlew :run --args "/tmp/test-class-data.json ${GITHUB_WORKSPACE}"
      - name: Update test bucket split
        run: |
          cd ${GITHUB_WORKSPACE}/.teamcity
          ./mvnw compile exec:java@update-test-buckets -DinputTestClassDataJson=/tmp/test-class-data.json

#!/usr/bin/env bash

set -e
set -x

bash scripts/test.sh ${@}