}

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * SetMultimap.asMap essentially returns a Map<K, Set<V>>; we just can't declare it that way.
   * Thus, calls like asMap().values().remove(someSet) are safe because they are comparing a set to
   * a collection of other sets.
   */
  @SuppressWarnings("CollectionUndefinedEquality")

  * This requires a Java application, and thus runtime, to run the tooling API client

As indicated, each of those components require a Java runtime to run.

The recommended way of invoking Gradle is to use the Gradle Wrapper.
The Wrapper then downloads the Gradle distribution (if necessary), starts the Launcher and runs the build, spawning and connecting to other processes such as the Daemon as required.

/**
 * Generates DSL reference material using Docbook and some homegrown class parsing.
 *
 * TODO: It would be nice to replace the Docbook portion of this with Asciidoc so that it could be
 * generated in the same way as the user manual with cross-links between them.
 */
public class GradleDslReferencePlugin implements Plugin<Project> {
    @Override
    public void apply(Project project) {
        ProjectLayout layout = project.getLayout();

   * that will perform holdsLock assertions:
   *
   * - For iterator(), we can accomplish that by not overriding iterator() at all. That way, we
   *   inherit an implementation that forwards to the delegate collection, which performs no
   *   holdsLock assertions.
   *
   * - For stream() and spliterator(), we have to forward to the delegate ourselves because

      }
    }
  }

  /**
   * Implementation of the InvertedMinMaxPriorityQueue which forwards all calls to a
   * MinMaxPriorityQueue, except poll, which is forwarded to pollMax. That way we can benchmark
   * pollMax using the same code that benchmarks poll.
   */
  static final class InvertedMinMaxPriorityQueue<T> extends ForwardingQueue<T> {
    MinMaxPriorityQueue<T> mmHeap;

  }

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * ListMultimap.asMap essentially returns a Map<K, List<V>>; we just can't declare it that way.
   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[22:24] *}

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

  }

  @CollectionSize.Require(SEVERAL)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * ListMultimap.asMap essentially returns a Map<K, List<V>>; we just can't declare it that way.
   * Thus, calls like asMap().values().remove(someList) are safe because they are comparing a list
   * to a collection of other lists.
   */
  @SuppressWarnings("CollectionUndefinedEquality")

## 1. Prerequisites

* Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

/// note | Technical Details