# 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

        "type": "object",
    }


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_missing(path: str):
    client = TestClient(app)
    response = client.post(path)
    assert response.status_code == 200, response.text
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",

import importlib
import os
from pathlib import Path

import pytest
from fastapi.testclient import TestClient

from tests.utils import needs_py310, workdir_lock


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

import importlib

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body.{request.param}")

    client = TestClient(mod.app)

  "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) }

from typing import Annotated

import pytest
from fastapi import Depends, FastAPI, Path
from fastapi.param_functions import Query
from fastapi.testclient import TestClient

app = FastAPI()


def test_no_annotated_defaults():
    with pytest.raises(
        AssertionError, match="Path parameters cannot have a default value"
    ):

        @app.get("/items/{item_id}/")
        async def get_item(item_id: Annotated[int, Path(default=1)]):