fun enqueueResponse(response: MockResponse) {
    delegate.enqueueResponse(response.wrap())
  }

  override fun shutdown() {
    delegate.shutdown()
  }

  fun setFailFast(failFast: Boolean) {
    delegate.setFailFast(failFast)
  }

  fun setFailFast(failFastResponse: MockResponse?) {
    delegate.setFailFast(failFastResponse?.wrap())
  }

	font-size: 120%;
	font-weight: 600;
}

section.content table {
	display: table;
	table-layout: fixed;
	width
}

section.content table td {
	display: table-cell;
	word-wrap: break-word;
	overflow-wrap: break-word;
}

section.content table .label {
	color: #fff;
}

textarea.systemInfoData {
	height: 22em;
	line-height: 1.5em;
}

.login-box {
	height: 500px;

            Deque.class,
            new Function<Deque, Deque<?>>() {
              @Override
              public Deque<?> apply(Deque delegate) {
                return wrap((Deque<?>) delegate);
              }
            });
  }

  private static <T> Deque<T> wrap(final Deque<T> delegate) {
    return new ForwardingDeque<T>() {
      @Override
      protected Deque<T> delegate() {
        return delegate;
      }
    };

For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.

## Using `WSGIMiddleware`

You need to import `WSGIMiddleware`.

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"
{!../../docs_src/wsgi/tutorial001.py!}

    val state = AddressState(address, taskRunner.newQueue(), policy)
    val newConnectionsNeeded: Int

    while (true) {
      val oldMap = this.addressStates
      val newMap = oldMap + (address to state)
      if (addressStatesUpdater.compareAndSet(this, oldMap, newMap)) {
        val oldPolicyMinimumConcurrentCalls = oldMap[address]?.policy?.minimumConcurrentCalls ?: 0

        this.isDataFromNodeStatus = true;
    }


    /**
     * {@inheritDoc}
     *
     * @see jcifs.Address#unwrap(java.lang.Class)
     */
    @SuppressWarnings ( "unchecked" )
    @Override
    public <T extends Address> T unwrap ( Class<T> type ) {
        if ( type.isAssignableFrom(this.getClass()) ) {
            return (T) this;
        }
        return null;
    }

   * that tests equivalence using their lengths:
   *
   * <pre>{@code
   * equiv.wrap("a").equals(equiv.wrap("b")) // true
   * equiv.wrap("a").equals(equiv.wrap("hello")) // false
   * }</pre>
   *
   * <p>Note in particular that an equivalence wrapper is never equal to the object it wraps.
   *
   * <pre>{@code
   * equiv.wrap(obj).equals(obj) // always false
   * }</pre>
   *
   * @since 10.0
   */

      } else {
        TF_SetStatus(
            status, TF_INVALID_ARGUMENT,
            absl::StrCat(
                "Got a non-parallel tensor ",
                tensorflow::unwrap(absl::get<TFE_TensorHandle*>(input))
                    ->DebugString(),
                " as input to a parallel operation. First pack non-parallel "
                "tensors for each device into a parallel tensor explicitly.")

        try ( SmbTransportInternal trans = tf.getTransportPool()
                .getSmbTransport(tf, dc, 0, false, tf.hasDefaultCredentials() && tf.getConfig().isIpcSigningEnforced())
                .unwrap(SmbTransportInternal.class) ) {
            if ( !tf.hasDefaultCredentials() ) {
                trans.ensureConnected();
                log.warn(

		},
		configureReplication,
	)

	if err := errors.Unwrap(makeBucketConcErr); err != nil {
		return err
	}
	return errors.Unwrap(makeRemotesConcErr)
}

// DeleteBucketHook - called during a regular delete bucket call when cluster
// replication is enabled. It is responsible for the deletion of the same bucket