# Contributing to the Gradle Build Tool

Thank you for your interest in contributing to Gradle!
This guide explains how to contribute to the core Gradle components, 
extensions and documentation located in this repository.
For other extensions and components, see the 
[Gradle Community Resources](https://gradle.org/resources/).

This guide will help you to...

* maximize the chance of your changes being accepted
* work on the Gradle code base

      MockResponse(
        code = 503,
        headers = headersOf("Retry-After", "0"),
        body = "please retry",
      ),
    )
    server.enqueue(
      MockResponse(body = "thank you for retrying"),
    )
    val request =
      Request(
        url = server.url("/"),
        body =
          object : RequestBody() {
            var attempt = 0

And as you can have parallelism and asynchronicity at the same time, you get higher performance than most of the tested NodeJS frameworks and on par with Go, which is a compiled language closer to C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(all thanks to Starlette)</a>.

### Is concurrency better than parallelism?

Nope! That's not the moral of the story.

* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
    * **WebSockets**
    * extremely easy tests based on HTTPX and `pytest`
    * **CORS**

# Body - Nested Models

With **FastAPI**, you can define, validate, document, and use arbitrarily deeply nested models (thanks to Pydantic).

## List fields

You can define an attribute to be a subtype. For example, a Python `list`:

=== "Python 3.10+"

    ```Python hl_lines="12"
    {!> ../../../docs_src/body_nested_models/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="14"

   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *
   * We use [executeCallCount] and [runCallCount] to defend against starting more threads than we
   * need. Both fields are guarded by [lock].
   */
  private var executeCallCount = 0
  private var runCallCount = 0

      description: "MinIO instance {{ $labels.server }} of job {{ $labels.job }} has lost quorum on pool {{ $labels.pool }} on set {{ $labels.set }} for more than 5 minutes."
```

## Verify the configuration and alerts
To verify the above sample alert follow below steps

1. Start a distributed MinIO instance (4 nodes setup)
2. Start Prometheus server and AlertManager

 *
 * This class may be used to stream very large responses. For example, it is possible to use this
 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *

  //      implementations prior to v1.22)
  //   2. Signer whose configured maximum is shorter than the requested duration
  //   3. Signer whose configured minimum is longer than the requested duration
  //
  // The minimum valid value for expirationSeconds is 600, i.e. 10 minutes.
  //
  // +optional
  optional int32 expirationSeconds = 8;

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

For large responses, returning a `Response` directly is much faster than returning a dictionary.