from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


app = FastAPI()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

    features.remove(CollectionFeature.ALLOWS_NULL_VALUES);
    features.add(CollectionFeature.SUBSET_VIEW);

    return newBuilderUsing(delegate, to, from)
        .named(parentBuilder.getName() + " subSet " + from + "-" + to)
        .withFeatures(features)
        .suppressing(parentBuilder.getSuppressedTests())
        .withSetUp(parentBuilder.getSetUp())
        .withTearDown(parentBuilder.getTearDown())
        .createTestSuite();
  }

    MINIO_UPDATE_MINISIGN_PUBKEY="RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav" \
    MINIO_CONFIG_ENV_FILE=config.env

COPY --from=build /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/
COPY --from=build /go/bin/minio /usr/bin/minio
COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE
COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh

    **FastAPI**'s `UploadFile` inherits directly from **Starlette**'s `UploadFile`, but adds some necessary parts to make it compatible with **Pydantic** and the other parts of FastAPI.

## What is "Form Data"

The way HTML forms (`<form></form>`) sends the data to the server normally uses a "special" encoding for that data, it's different from JSON.

**FastAPI** will make sure to read that data from the right place instead of JSON.

from typing import Union

from fastapi import FastAPI, Query
from typing_extensions import Annotated

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[Union[str, None], Query(min_length=3, max_length=50)] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

    }

    /**
     * ファイルチャネル{@literal from}を{@literal to}へ転送します。
     *
     * @param from
     *            転送元のファイルチャネル。{@literal null}であってはいけません
     * @param to
     *            転送先のファイルチャネル。{@literal null}であってはいけません
     * @return 転送されたバイト数
     */
    public static long transfer(final FileChannel from, final FileChannel to) {
        assertArgumentNotNull("from", from);
        assertArgumentNotNull("to", to);

from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2

  TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(ctx));
  if (!tracing_ctx) {
    tsl::Set_TF_Status_from_Status(
        s, tensorflow::errors::InvalidArgument(
               "Only TracingContext can be converted into a function."));
    return nullptr;
  }
  tsl::Set_TF_Status_from_Status(s,
                                 tracing_ctx->Finalize(unwrap(outputs), &func));
  TF_DeleteExecutionContext(ctx);

    requestedHosts.clear()
  }

  /** Allocates and returns `count` fake IPv4 addresses like [255.0.0.100, 255.0.0.101].  */
  fun allocate(count: Int): List<InetAddress> {
    val from = nextAddress
    nextAddress += count
    return (from until nextAddress)
      .map {
        return@map InetAddress.getByAddress(
          Buffer().writeInt(it.toInt()).readByteArray(),
        )
      }
  }

### Create an `Enum` class

Import `Enum` and create a sub-class that inherits from `str` and from `Enum`.

By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly.

Then create class attributes with fixed values, which will be the available valid values: