{* ../../docs_src/handling_errors/tutorial006.py hl[2:5,15,21] *}

        assertEquals("string,builder,buffer", result);
    }

    @ParameterizedTest
    @DisplayName("Should handle various element counts")
    @ValueSource(ints = { 1, 2, 5, 10, 20, 50, 100 })
    void testJoinWithVariousElementCounts(int count) {
        CharSequence[] elements = new CharSequence[count];
        for (int i = 0; i < count; i++) {

		if gotNewErr != errErasureWriteQuorum {
			t.Errorf("Test %d : expected %s, got %s", i+1, errErasureWriteQuorum, gotErr)
		}
	}
}

// TestHashOrder - test order of ints in array
func TestHashOrder(t *testing.T) {
	testCases := []struct {
		objectName  string
		hashedOrder []int
	}{
		// cases which should pass the test.
		// passing in valid object name.

@REM -----------------------------------------------------------------------------
@REM Apache Maven Startup Script
@REM
@REM Environment Variable Prerequisites
@REM
@REM   JAVA_HOME         (Optional) Points to a Java installation.
@REM   MAVEN_ARGS        (Optional) Arguments passed to Maven before CLI arguments.
@REM   MAVEN_BATCH_ECHO  (Optional) Set to 'on' to enable the echoing of the batch commands.

                artifactRequest.setRepositories(RepositoryUtils.toRepos(remoteRepositories));

                // Maven 2.x quirk: an artifact always points at the local repo, regardless whether resolved or not
                LocalRepositoryManager lrm = session.getLocalRepositoryManager();
                String path = lrm.getPathForLocalArtifact(artifactRequest.getArtifact());

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

        assertEquals("Expected structureSize = 2", exception.getMessage());
    }

    @ParameterizedTest
    @ValueSource(ints = { 1, 3, 4, 5, 10, 100, 255, 256, 1000, 65535 })
    @DisplayName("Test readBytesWireFormat with various invalid structure sizes")
    void testReadBytesWireFormatVariousInvalidSizes(int invalidSize) {

## 파이썬에서 환경 변수 읽기

파이썬 **바깥**인 터미널에서(다른 도구로도 가능) 환경 변수를 생성도 할 수도 있고, 이를 **파이썬에서 읽을 수 있습니다.**

예를 들어 다음과 같은 `main.py` 파일이 있다고 합시다:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | 팁

<a href="https://docs.python.org/3.8/library/os.html#os.getenv" class="external-link" target="_blank">`os.getenv()`</a> 의 두 번째 인자는 반환할 기본값입니다.

The key updated docs are:

* Python Types Intro:
    * [Type Hints with Metadata Annotations](https://fastapi.tiangolo.com/python-types/#type-hints-with-metadata-annotations).
* Tutorial: