import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertSame;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.anyLong;
import static org.mockito.ArgumentMatchers.eq;
import static org.mockito.Mockito.doAnswer;

   * check its availability with {@link #lazyStackTraceIsLazy()}.
   *
   * <p>The expected (but not guaranteed) performance of the special implementation differs from
   * {@code getStackTrace} in one main way: The {@code lazyStackTrace} call itself returns quickly
   * by delaying the per-stack-frame work until each element is accessed. Roughly speaking:
   *
   * <ul>

    try {
      UnsignedInts.parseUnsignedInt("0", Character.MIN_RADIX - 1);
      fail();
    } catch (NumberFormatException expected) {
    } catch (IllegalArgumentException expected) {
      // Kotlin native, see above
    }

    try {
      UnsignedInts.parseUnsignedInt("0", Character.MAX_RADIX + 1);
      fail();
    } catch (NumberFormatException expected) {
    } catch (IllegalArgumentException expected) {

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python

  private static void assertVisited(Type type) {
    TypeVisitor visitor = new BaseTypeVisitor();
    try {
      visitor.visit(type);
      fail("Type not visited");
    } catch (UnsupportedOperationException expected) {
    }
    try {
      visitor.visit(new Type[] {type});
      fail("Type not visited");
    } catch (UnsupportedOperationException expected) {
    }
  }

        // Arrange
        SmbPipeOutputStream out = newStream();
        CIFSException boom = new CIFSException("tree-fail");
        when(handle.ensureTreeConnected()).thenThrow(boom);

        // Act + Assert
        CIFSException ex = assertThrows(CIFSException.class, out::ensureTreeConnected);
        assertEquals("tree-fail", ex.getMessage());
        verify(handle, times(1)).ensureTreeConnected();
    }

    @Test

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

혹은 더 정확히 말하자면, `user_dict`를 직접 사용하는 것은, 나중에 어떤 값이 추가되더라도 아래와 동일한 효과를 냅니다:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

Örneğin `config.py` adında bir dosyanız şu şekilde olabilir:

{* ../../docs_src/settings/app01_py310/config.py *}

Ve ardından bunu `main.py` dosyasında kullanabilirsiniz:

{* ../../docs_src/settings/app01_py310/main.py hl[3,11:13] *}

/// tip | İpucu

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console
// 여기서는 아직 환경 변수를 설정하지 않습니다
$ python main.py

// 환경 변수를 설정하지 않았으므로 기본값이 사용됩니다

Hello World from Python

// 하지만 먼저 환경 변수를 생성하면
$ export MY_NAME="Wade Wilson"

// 그리고 프로그램을 다시 실행하면
$ python main.py

// 이제 환경 변수를 읽을 수 있습니다

Hello Wade Wilson from Python
```

</div>

////

然后你可以调用这个 Python 程序：

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console
// 这里我们还没有设置环境变量
$ python main.py

// 因为我们没有设置环境变量，所以我们得到的是默认值

Hello World from Python

// 但是如果我们事先创建过一个环境变量
$ export MY_NAME="Wade Wilson"

// 然后再次调用程序
$ python main.py

// 现在就可以读取到环境变量了

Hello Wade Wilson from Python
```

</div>

////

//// tab | Windows PowerShell