<groupId>maven-test</groupId>
  <artifactId>scope-test</artifactId>
  <version>1.0</version>
  <dependencies>

    <dependency>
      <groupId>maven-test-test</groupId>
      <artifactId>scope-default</artifactId>
      <version>1.0</version>
    </dependency>

    <dependency>
      <groupId>maven-test-test</groupId>
      <artifactId>scope-test</artifactId>
      <version>1.0</version>

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Motov Yurii <******@****.***> 1772189627 +0100

  "durations" : [ {
    "testProject" : "createLotsOfTasks",
    "linux" : 219
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.VerboseTestOutputPerformanceTest.cleanTest test with verbose test output",
  "durations" : [ {
    "testProject" : "withVerboseJUnit",
    "linux" : 210
  }, {
    "testProject" : "withVerboseTestNG",
    "linux" : 204
  } ]
}, {

# 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 designers dos prompts específicos de idioma.

# LLM 測試檔案 { #llm-test-file }

本文件用來測試用於翻譯文件的 <abbr title="Large Language Model - 大型語言模型">LLM</abbr> 是否理解 `scripts/translate.py` 中的 `general_prompt`，以及 `docs/{language code}/llm-prompt.md` 中的語言特定提示。語言特定提示會附加在 `general_prompt` 後面。

此處新增的測試會提供給所有語言特定提示的設計者參考。

使用方式：

* 準備語言特定提示 - `docs/{language code}/llm-prompt.md`。
* 針對本文件做一次全新的翻譯為你想要的目標語言（例如使用 `translate.py` 的 `translate-page` 指令）。這會在 `docs/{language code}/docs/_llm-test.md` 產生翻譯檔。
* 檢查翻譯是否正確。

      - 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

org.apache.lucene.util.LuceneTestCase$Nightly @ We don't run nightly tests at this point!
com.carrotsearch.randomizedtesting.annotations.Nightly @ We don't run nightly tests at this point!

org.junit.Test @defaultMessage Just name your test method testFooBar

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