- Support for query parameters, headers, body (String or stream), compression, SSL configuration, proxies, and timeouts
- Automatic in-memory or on-disk caching of request/response bodies
- Synchronous and asynchronous (callback) execution
- Minimal dependencies (only Apache Commons IO)

## Installation

### Maven

Add the dependency to your `pom.xml` (replace `x.y.z` with the latest version):

  static void checkCast(Class<?> clazz, Object obj) {}

  static <T> T[] clone(T[] array) {
    return (T[]) Arrays.copyOfRange(array, 0, array.length);
  }

  // TODO: Consolidate different copies in one single place.
  static String format(String template, Object... args) {
    // start substituting the arguments into the '%s' placeholders
    StringBuilder builder = new StringBuilder(template.length() + 16 * args.length);

	Rotational bool
	Metrics    DiskMetrics
	Error      string // carries the error over the network
}

// DiskMetrics has the information about XL Storage APIs
// the number of calls of each API and the moving average of
// the duration of each API.
type DiskMetrics struct {
	LastMinute              map[string]AccElem `json:"apiLatencies,omitempty"`
	APICalls                map[string]uint64  `json:"apiCalls,omitempty"`

   * (used as the reference iterator) against a {@code PeekingIterator} that *wraps* such an
   * iterator (used as the target iterator).
   *
   * <p>This IteratorTester makes copies of the master so that it can later verify that {@link
   * PeekingIterator#remove()} removes the same elements as the reference's iterator {@code
   * remove()}.
   */

public interface ProfileInjector {

    /**
     * Merges values from the specified profile into the given model. Implementations are expected to keep the profile
     * and model completely decoupled by injecting deep copies rather than the original objects from the profile.
     *
     * @param model The model into which to merge the values defined by the profile, must not be <code>null</code>.

      MockResponse
        .Builder()
        .code(HttpURLConnection.HTTP_MOVED_TEMP)
        .addHeader("Location: /foo")
        .addHeader("Content-Encoding: gzip")
        .body(gzip("Moved! Moved! Moved!"))
        .build(),
    )
    server.enqueue(
      MockResponse(body = "This is the new page!"),
    )
    val response = getResponse(newRequest("/"))

        }
      }
      return left.length - right.length;
    }

    @Override
    public String toString() {
      return "Booleans.lexicographicalComparator()";
    }
  }

  /**
   * Copies a collection of {@code Boolean} instances into a new array of primitive {@code boolean}
   * values.
   *
   * <p>Elements are copied from the argument collection as if by {@code collection.toArray()}.

        }
      }
      return left.length - right.length;
    }

    @Override
    public String toString() {
      return "Booleans.lexicographicalComparator()";
    }
  }

  /**
   * Copies a collection of {@code Boolean} instances into a new array of primitive {@code boolean}
   * values.
   *
   * <p>Elements are copied from the argument collection as if by {@code collection.toArray()}.

/// info | Informação

Observe como `Offer` tem uma lista de `Item`s, que por sua vez têm uma lista opcional de `Image`s

///

## Corpos de listas puras { #bodies-of-pure-lists }

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:

/// info | Información

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python