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

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

          RangeMap<Integer, Integer> test = TreeRangeMap.create();
          RangeMap<Integer, Integer> test2 = TreeRangeMap.create();
          // put range2 and range3 into test2, and then put test2 into test
          test.put(range1, 1);
          test2.put(range2, 2);
          test2.put(range3, 3);
          test.putAll(test2);
          verify(model, test);
        }
      }
    }
  }

            }
        ]
    }


def test_other_exceptions(client: TestClient):
    with patch("json.loads", side_effect=Exception):
        response = client.post("/items/", json={"test": "test2"})
        assert response.status_code == 400, response.text


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

			t.Errorf("test %d, readGNUSparsePAXHeaders(): got %v, want %v", i, got, v.wantMap)
		}
		if err != v.wantErr {
			t.Errorf("test %d, readGNUSparsePAXHeaders() = %v, want %v", i, err, v.wantErr)
		}
		if hdr.Size != v.wantSize {
			t.Errorf("test %d, Header.Size = %d, want %d", i, hdr.Size, v.wantSize)
		}
		if hdr.Name != v.wantName {

# 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: