But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.

So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.

Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`.

```mermaid

### Follow the Code of Conduct

Contributors must follow the Code of Conduct outlined at [https://gradle.org/conduct/](https://gradle.org/conduct/).

### Additional help

If you run into any trouble, please reach out to us on the issue you are working on.
There is a `#contributing` channel on the community Slack which you can use
to ask any questions.

## Setting up your development environment

	// Fetch buffer for I/O, returns from the pool if not allocates a new one and returns.
	var buffer []byte
	switch size := data.Size(); {
	case size == 0:
		buffer = make([]byte, 1) // Allocate at least a byte to reach EOF
	case size >= fi.Erasure.BlockSize:
		buffer = globalBytePoolCap.Load().Get()
		defer globalBytePoolCap.Load().Put(buffer)
	case size < fi.Erasure.BlockSize:

	return -1
}

// getServerPoolsAvailableSpace will return the available space of each pool after storing the content.
// If there is not enough space the pool will return 0 bytes available.
// The size of each will be multiplied by the number of sets.
// Negative sizes are seen as 0 bytes.

type in <code>V</code>'s type set can be converted to each type in <code>T</code>'s
type set.
</li>
<li>
Only <code>V</code> is a type parameter and a value of each
type in <code>V</code>'s type set can be converted to <code>T</code>.
</li>
<li>
Only <code>T</code> is a type parameter and <code>x</code> can be converted to each
type in <code>T</code>'s type set.
</li>

				// We have enough and we have more.
				// Do not return io.EOF
				if resCh != nil {
					resErr = nil
					select {
					case resCh <- results:
					case <-ctx.Done():
					}
					resCh = nil
					returned = true
				}
				continue
			}
			results.o = append(results.o, entry)
		}
		if resCh != nil {
			resErr = io.EOF
			select {
			case <-ctx.Done():
				// Nobody wants it.

    `CMD` takes a list of strings, each of these strings is what you would type in the command line separated by spaces.

    This command will be run from the **current working directory**, the same `/code` directory you set above with `WORKDIR /code`.

!!! tip
    Review what each line does by clicking each number bubble in the code. 👆

You should now have a directory structure like:

## Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.
Gradle tracks the state of each piece and transitions each piece through its lifecycle as the build runs.

A central part of the Gradle architecture is the "build state model", which holds the state for each piece and coordinates state transitions and other mutations. 

    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.
Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes.

## Composition by architecture modules

   * first specified. That is, if multiple elements are {@linkplain Object#equals equal}, all except
   * the first are ignored.
   */
  public static <E> ImmutableSet<E> of(E e1, E e2) {
    return construct(2, e1, e2);
  }

  /**
   * Returns an immutable set containing the given elements, minus duplicates, in the order each was