# Tests Asíncronos { #async-tests }

Ya has visto cómo probar tus aplicaciones de **FastAPI** usando el `TestClient` proporcionado. Hasta ahora, solo has visto cómo escribir tests sincrónicos, sin usar funciones `async`.

Zhongheng Cheng <******@****.***> 1734472146 -0500

Harshavardhana <******@****.***> 1725615741 -0700

	OUTPUT=$(docker exec resiliency-minio2-1 /bin/sh -c "rm /data$((DATA_DRIVE + 1))/test-bucket/initial-data/$FILE/xl.meta")
	OUTPUT=$(docker exec resiliency-minio3-1 /bin/sh -c "rm /data$((DATA_DRIVE + 2))/test-bucket/initial-data/$FILE/xl.meta")
	OUTPUT=$(docker exec resiliency-minio4-1 /bin/sh -c "rm /data$((DATA_DRIVE + 3))/test-bucket/initial-data/$FILE/xl.meta")

name: Failing Test
description: Report continuously failing tests or jobs in Kubernetes CI
labels: kind/failing-test
body:
  - type: textarea
    id: jobs
    attributes:
      label: Which jobs are failing?
      placeholder: |
        Please only use this template for submitting reports about continuously failing tests or jobs in Kubernetes CI.
    validations:
      required: true

  - type: textarea
    id: tests
    attributes:

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

This document tests if the <abbr title="Large Language Model">LLM</abbr>, which translates the documentation, understands the `general_prompt` in `scripts/translate.py` and the language specific prompt in `docs/{language code}/llm-prompt.md`. The language specific prompt is appended to `general_prompt`.

Tests added here will be seen by all designers of language specific prompts.

Use as follows:

test.txt This is a test text file. gophercolor16x16.png...

Ian Lance Taylor <******@****.***> 1645759397 -0800

test.tar data/folder/file.html テスト data/file.txt テキスト...

# 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`.