assertContainsExactlyInAnyOrder(activation.getRequiredInactiveProfileIds(), "test1", "test2");
        assertContainsExactlyInAnyOrder(activation.getOptionalInactiveProfileIds(), "test3", "test4");

        activation = new ProfileActivation();
        performProfileActivation(parser.parse(options, new String[] {"-P", "-test1,+test2"}), activation);

# 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.

# 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:

# 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.

	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")

#Others
/ http://www.example.com/test s:http h:www.example.com p:/
/test.txt  s:http h:www.example.com p:/test.txt
.  s:http h:www.example.com p:/
..  s:http h:www.example.com p:/
test.txt  s:http h:www.example.com p:/test.txt
./test.txt  s:http h:www.example.com p:/test.txt
../test.txt  s:http h:www.example.com p:/test.txt
../aaa/test.txt  s:http h:www.example.com p:/aaa/test.txt

# 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:

    "groups" : [ {
      "testProject" : "largeJavaMultiProject",
      "comment" : "We only test the multi-project here since for the monolithic project we would have no cache hits. This would mean we actually would test incremental compilation.",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {

  "durations" : [ {
    "testProject" : "createLotsOfTasks",
    "linux" : 216
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.VerboseTestOutputPerformanceTest.cleanTest test with verbose test output",
  "durations" : [ {
    "testProject" : "withVerboseJUnit",
    "linux" : 207
  }, {
    "testProject" : "withVerboseTestNG",
    "linux" : 198
  } ]
}, {

Klaus Post <******@****.***> 1759093161 +0200