# 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 sprachsspezifische Prompt wird an `general_prompt` angehängt.

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

| IMPORTANT |

 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *

// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//

### Teste os arquivos estáticos { #test-the-static-files }

Inicialize seu aplicativo e vá para [http://127.0.0.1:8000/static/redoc.standalone.js](http://127.0.0.1:8000/static/redoc.standalone.js).

Você deverá ser ver um arquivo JavaScript muito longo para o **ReDoc**.

Esse arquivo pode começar com algo como:

```JavaScript
/*! For license information please see redoc.standalone.js.LICENSE.txt */

Gardez cela à l'esprit lorsque vous lisez « serveur » en général, cela pourrait faire référence à l'une de ces deux choses.

/**
 * Marks a test as Platform aware, before the test runs a consistent Platform will be
 * established e.g. SecurityProvider for Conscrypt installed.
 *
 * Also allows a test file to state general platform assumptions, or for individual test.
 */
@Suppress("unused", "MemberVisibilityCanBePrivate")
open class PlatformRule
  @JvmOverloads
  constructor(
    val requiredPlatformName: String? = null,

Indian/Chagos Indian/Christmas Indian/Cocos Indian/Comoro Indian/Kerguelen Indian/Mahe Indian/Maldives Indian/Mauritius Indian/Mayotte Indian/Reunion Iran Israel Jamaica Japan Kwajalein Libya MET MST MST7MDT Mexico/BajaNorte Mexico/BajaSur Mexico/General NZ NZ-CHAT Navajo PRC PST8PDT Pacific/Apia Pacific/Auckland Pacific/Bougainville Pacific/Chatham Pacific/Chuuk Pacific/Easter Pacific/Efate Pacific/Enderbury Pacific/Fakaofo Pacific/Fiji Pacific/Funafuti Pacific/Galapagos Pacific/Gambier Pacific/Guadalcanal...

    "fastapi-people.md",
    "external-links.md",
    "newsletter.md",
    "management-tasks.md",
    "management.md",
    "contributing.md",
)

general_prompt_path = Path(__file__).absolute().parent / "general-llm-prompt.md"
general_prompt = general_prompt_path.read_text(encoding="utf-8")

app = typer.Typer()


@lru_cache
def get_langs() -> dict[str, str]:

// Sets XLA's auto jit mode according to the specified string, which is parsed
// as if passed in XLA_FLAGS. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaAutoJitMode(const char* mode);

// Returns whether the single GPU or general XLA auto jit optimizations are
// enabled through MarkForCompilationPassFlags.
TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled();

// Sets XLA's minimum cluster size. This has global effect.