import importlib
from types import ModuleType

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

from ...utils import needs_py310


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial005_py39"),
        pytest.param("tutorial005_py310", marks=needs_py310),
        pytest.param("tutorial005_an_py39"),
        pytest.param("tutorial005_an_py310", marks=needs_py310),

import importlib

import pytest
from fastapi._compat import PYDANTIC_VERSION_MINOR_TUPLE
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial010_py39"),
        pytest.param("tutorial010_py310", marks=needs_py310),
        pytest.param("tutorial010_an_py39"),
        pytest.param("tutorial010_an_py310", marks=needs_py310),
    ],

import importlib

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_01_py39"),
        pytest.param("tutorial001_01_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

from unittest.mock import Mock, patch

import pytest
from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)
def get_module(request: pytest.FixtureRequest):

// trailing UTF-8-encoded code points contained in cutset.
func Trim(s []byte, cutset string) []byte {
	if len(s) == 0 {
		// This is what we've historically done.
		return nil
	}
	if cutset == "" {
		return s
	}
	if len(cutset) == 1 && cutset[0] < utf8.RuneSelf {
		return trimLeftByte(trimRightByte(s, cutset[0]), cutset[0])
	}
	if as, ok := makeASCIISet(cutset); ok {

import importlib

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

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_an_py39"),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)

		{60 * time.Second, "my_download_url", "1 minute before the latest release"},
		{61 * time.Second, "my_download_url", "1 minute before the latest release"},

		// Testcase index 10
		{37 * time.Minute, "my_download_url", "37 minutes before the latest release"},
		{1 * time.Hour, "my_download_url", "1 hour before the latest release"},
		{61 * time.Minute, "my_download_url", "1 hour before the latest release"},

import importlib

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_an_py39"),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.security.{request.param}")

    client = TestClient(mod.app)
    return client

name: Flaking Test
description: Report flaky tests or jobs in Kubernetes CI
labels: kind/flake
body:
  - type: textarea
    id: jobs
    attributes:
      label: Which jobs are flaking?
      description: |
        Please only use this template for submitting reports about flaky tests or jobs (pass or fail with no underlying change in code) in Kubernetes CI.
        Links to go.k8s.io/triage and/or links to specific failures in spyglass are appreciated.

# 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.