doFirst {
            val moduleBaseDir = localRepository.get().dir("org/gradle/${baseName.get()}").asFile
            if (moduleBaseDir.exists()) {
                // Make sure artifacts do not pile up locally
                moduleBaseDir.deleteRecursively()
            }
        }

        doLast {

                        group = "verification"
                        description = "Ensures the accepted api changes file is kept alphabetically ordered to make merging changes to it easier"
                        apiChangesDirectory = layout.projectDirectory.dir("${ TextUtil.normaliseFileSeparators(firstAcceptedApiChangesFile.parentFile.absolutePath) }")
                    }

 * </ul>
 *
 * <p><b>Important note:</b> the primary goal of this benchmark is to ensure that varying {@code
 * whereToDiffer} produces no observable change in performance. We want to make sure that the array
 * equals implementation is *not* short-circuiting to prevent timing-based attacks. Being fast is
 * only a secondary goal.
 *
 * @author Kurt Alfred Kluever
 */
@NullUnmarked

    implements ListenableFuture<V> {
  // TODO(cpovirk): explore ways of making ListenableFutureTask final. There are some valid reasons
  // such as BoundedQueueExecutorService to allow extends but it would be nice to make it final to
  // avoid unintended usage.

  // The execution list to hold our listeners.
  private final ExecutionList executionList = new ExecutionList();

  /**

// NewStub returns a stub of KMS for testing
func NewStub(defaultKeyName string) *KMS {
	return &KMS{
		Type:           Builtin,
		DefaultKey:     defaultKeyName,
		latencyBuckets: defaultLatencyBuckets,
		latency:        make([]atomic.Uint64, len(defaultLatencyBuckets)),
		conn: &StubKMS{
			KeyNames: []string{defaultKeyName},
		},
	}
}

// StubKMS is a KMS implementation for tests
type StubKMS struct {
	KeyNames []string
}

		}

	case p[0].ArrayWildcard:
		arr, ok := v.([]any)
		if !ok {
			return nil, false, errWildcardArrayLookup
		}

		// Lookup remainder of path in each array element and
		// make result array.
		var result []any
		for _, a := range arr {
			rval, flatten, err := jsonpathEval(p[1:], a)
			if err != nil {
				return nil, false, err
			}

			if flatten {
				// Flatten if array.

            try {
                return send0(loc, request, response, params);
            } catch (final SmbException smbe) {
                // Retrying only makes sense if the invalid parameter is an tree id. If we have a stale file descriptor
                // retrying make no sense, as it will never become available again.
                if (params.contains(RequestParam.NO_RETRY)

      return x.longValue();
    } else if (exponent > MAX_EXPONENT) {
      return x.signum() * POSITIVE_INFINITY;
    }

    /*
     * We need the top SIGNIFICAND_BITS + 1 bits, including the "implicit" one bit. To make rounding
     * easier, we pick out the top SIGNIFICAND_BITS + 2 bits, so we have one to help us round up or
     * down. twiceSignifFloor will contain the top SIGNIFICAND_BITS + 2 bits, and signifFloor the

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures { #dataclasses-in-nested-data-structures }

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

			zb0002, err = dc.ReadArrayHeader()
			if err != nil {
				err = msgp.WrapError(err, "Tags")
				return
			}
			if cap(z.Tags) >= int(zb0002) {
				z.Tags = (z.Tags)[:zb0002]
			} else {
				z.Tags = make([]BatchJobKV, zb0002)
			}
			for za0001 := range z.Tags {
				err = z.Tags[za0001].DecodeMsg(dc)
				if err != nil {
					err = msgp.WrapError(err, "Tags", za0001)
					return
				}
			}