import jcifs.internal.smb2.ioctl.Smb2IoctlResponse;
import jcifs.util.ByteEncodable;


/**
 * @author mbechler
 *
 */
class SmbPipeHandleImpl implements SmbPipeHandleInternal {

    private static final Logger log = LoggerFactory.getLogger(SmbPipeHandleImpl.class);

    private final SmbNamedPipe pipe;
    private final boolean transact;
    private final boolean call;

    private final int openFlags;

也就是说，**FastAPI** 针对差不多 80% 的 Python 开发者使用的编辑器进行了测试，而且其它大多数编辑器的工作方式也与之类似，因此，**FastAPI** 的优势几乎能在所有编辑器上体现。

通过这种方式，我就能找到尽可能减少代码重复的最佳方式，进而实现处处都有自动补全、类型提示与错误检查等支持。

所有这些都是为了给开发者提供最佳的开发体验。

## 需求项

经过测试多种备选方案，我最终决定使用  <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">**Pydantic**</a>，并充分利用它的优势。

      final int ii = i;
      ImmutableRangeMap.Builder<Integer, Integer> builder = ImmutableRangeMap.builder();
      assertThrows(IllegalArgumentException.class, () -> builder.put(Range.closedOpen(ii, ii), 1));
      assertThrows(IllegalArgumentException.class, () -> builder.put(Range.openClosed(ii, ii), 1));
    }
  }

  public void testOverlapRejection() {
    for (Range<Integer> range1 : RANGES) {

from fastapi import Depends, FastAPI
from fastapi.security import OAuth2PasswordBearer
from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


def fake_decode_token(token):
    return User(

from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("We don't swallow the internal error here, we raise again 😎")
        raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", response_model=Item, summary="Create an item")
async def create_item(item: Item):
    """
    Create an item with all the information:

    - **name**: each item must have a name

        Lists.<Object>newArrayList(FIRST, SECOND),
        recorder.eventsReceived);
  }

  public class EventProcessor {
    @Subscribe
    public void listenForStrings(String event) {
      bus.post(SECOND);
    }
  }

  public class EventRecorder {
    List<Object> eventsReceived = Lists.newArrayList();

    @Subscribe
    public void listenForEverything(Object event) {

        assert type(asyncpg_uuid) is not uuid.UUID
        with pytest.raises(TypeError):
            vars(asyncpg_uuid)
        return {"fast_uuid": asyncpg_uuid}

    class SomeCustomClass(BaseModel):
        class Config:
            arbitrary_types_allowed = True
            json_encoders = {uuid.UUID: str}

        a_uuid: MyUuid

    @app.get("/get_custom_class")
    def return_some_user():

 * limitations under the License.
 */

package promotion

import common.VersionedSettingsBranch
import jetbrains.buildServer.configs.kotlin.ParameterDisplay

abstract class PublishRelease(
    prepTask: String,
    promoteTask: String,
    requiredConfirmationCode: String,
    promotedBranch: String,
    init: PublishRelease.() -> Unit = {}
) : PublishGradleDistributionFullBuild(

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

Das ist dank **Pydantic** ebenfalls möglich, da es <a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">`dataclasses` intern unterstützt</a>.