frame.writeByte(FLAG_NONE)
    frame.writeInt(expectedStreamId and 0x7fffffff)
    frame.write(headerBlock, Http2.INITIAL_MAX_FRAME_SIZE.toLong())

    // Write the continuation frame, specifying no more frames are expected.
    writeMedium(frame, headerBlock.size.toInt())
    frame.writeByte(Http2.TYPE_CONTINUATION)
    frame.writeByte(FLAG_END_HEADERS)
    frame.writeInt(expectedStreamId and 0x7fffffff)

programs which are used unmodified in performing those activities but
which are not part of the work.  For example, Corresponding Source
includes interface definition files associated with source files for
the work, and the source code for shared libraries and dynamically
linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those

[import](https://blog.jetbrains.com/idea/2014/01/intellij-idea-13-importing-code-formatter-settings-from-eclipse/)
the same settings file, and / or use the [Eclipse Code Formatter] plugin.

You can also tell Spotless to [format a specific
file](https://github.com/diffplug/spotless/tree/master/plugin-gradle#can-i-apply-spotless-to-specific-files)
from the command line.

### Javadoc

            if (providedArtifacts.contains(id)) {
                log.debug("  Excluded {}", id);
            } else {
                File file = artifact.getFile();
                log.debug("  Included {} located at {}", id, file);
                realm.addURL(file.toURI().toURL());
            }
        }
        return CoreExtensionEntry.discoverFrom(
                realm,

@app.post("/items/")
async def create_item(item: Item, project_id: Annotated[int, Query(...)]): ...
```

## Return Type or Response Model

When possible, include a return type. It will be used to validate, filter, document, and serialize the response.

```python
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

            final RESULT result = entityType.newInstance();
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setAttributes(source.entrySet()
                    .stream()
                    .filter(e -> !"name".equals(e.getKey()))
                    .map(e -> new Pair<>(e.getKey(), (String) e.getValue()))
                    .collect(Collectors.toMap(Pair::getFirst, Pair::getSecond)));
            return result;

  public Set<V> replaceValues(@ParametricNullness K key, Iterable<? extends V> values) {
    return (Set<V>) super.replaceValues(key, values);
  }

  @Override
  Set<Entry<K, V>> createEntries() {
    return Sets.filter(unfiltered().entries(), entryPredicate());
  }

  @Override
  public Set<Entry<K, V>> entries() {
    return (Set<Entry<K, V>>) super.entries();
  }

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *