# 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。

Bag Attributes
    friendlyName: test-node
    localKeyID: 54 69 6D 65 20 31 36 31 30 35 34 37 34 31 31 36 37 37 
Key Attributes: <No Attributes>
-----BEGIN ENCRYPTED PRIVATE KEY-----
MIIFHDBOBgkqhkiG9w0BBQ0wQTApBgkqhkiG9w0BBQwwHAQIjQ0GSNxFPlcCAggA
MAwGCCqGSIb3DQIJBQAwFAYIKoZIhvcNAwcECEhMiHamDL3EBIIEyDhQlJjJhfPN
Tve2KwhJsADvo6POTXw0tJzTKCHek7iYLcsMK7EQhH3fLRkYDCOufBIZEgqxxCiH
l3q89eg5qd4lqne4yTW5SYLVW+L6xnE5FpacpfLCWWm4LmZlg3BynDZykG/cDHS8

Mark Vieira <******@****.***> 1623794426 -0700

<p align="center">
    FastAPI 框架，高性能，易于学习，高效编码，生产可用
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster">
    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi">

@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)

  "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
  } ]
}, {

    dependsOn tasks.matching { it.name ==~ /v[0-9\.]+#bwcTest/ }
  }
}

tasks.withType(Test).configureEach {
  onlyIf { project.bwc_tests_enabled }
  nonInputProperties.systemProperty 'tests.bwc', 'true'
}

tasks.matching { it.name.equals("check") }.configureEach {dependsOn(bwcTestSnapshots) }

Есть дополнительные зависимости, которые вы можете установить.

Дополнительные опциональные зависимости Pydantic:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) — для управления настройками.
* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) — дополнительные типы для использования с Pydantic.

Дополнительные опциональные зависимости FastAPI:

        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