# 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`.

	apiRouter http.Handler, credentials auth.Credentials, t *testing.T)

// Regular object test type.
type objTestType func(obj ObjectLayer, instanceType string, t TestErrHandler)

// Special test type for test with directories
type objTestTypeWithDirs func(obj ObjectLayer, instanceType string, dirs []string, t TestErrHandler)

// Special object test type for disk not found situations.

# LLM-Testdatei { #llm-test-file }

Dieses Dokument testet, ob das <abbr title="Large Language Model – Großes Sprachmodell">LLM</abbr>, das die Dokumentation übersetzt, den <abbr title="General Prompt – Allgemeiner Prompt">`general_prompt`</abbr> in `scripts/translate.py` und den sprachspezifischen Prompt in `docs/{language code}/llm-prompt.md` versteht. Der sprachspezifische Prompt wird an `general_prompt` angehängt.

# 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:

Anis Eleuch <******@****.***> 1733145677 +0100

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.

  - [Changelog since v1.26.4](#changelog-since-v1264)
  - [Changes by Kind](#changes-by-kind-10)
    - [API Change](#api-change-4)
    - [Feature](#feature-10)
    - [Failing Test](#failing-test)
    - [Bug or Regression](#bug-or-regression-10)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake-3)
  - [Dependencies](#dependencies-10)
    - [Added](#added-10)
    - [Changed](#changed-10)

        final String path = dest.getLocator().getUNCPath();
        if (path.length() > 1) {
            try {
                dest.mkdir();
                if (dh.hasCapability(SmbConstants.CAP_NT_SMBS)) {
                    dest.setPathInformation(src.getAttributes(), src.createTime(), src.lastModified(), src.lastAccess());
                } else {

    static void writeULong(final byte[] dest, final int offset, final int ulong) {
        dest[offset] = (byte) (ulong & 0xff);
        dest[offset + 1] = (byte) (ulong >> 8 & 0xff);
        dest[offset + 2] = (byte) (ulong >> 16 & 0xff);
        dest[offset + 3] = (byte) (ulong >> 24 & 0xff);
    }

    static void writeUShort(final byte[] dest, final int offset, final int ushort) {
        dest[offset] = (byte) (ushort & 0xff);