* The keys to the map parameter are used as the names of the files to which to apply the transform - there is only one entry.
         * It would perhaps be better to do this more selectively instead of applying this transform so broadly and having
         * it just no-op in most cases.
         */
        registerTransform(Minify::class) {

* `float`
* `bool`
* `bytes`

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial005.py!}
```

### Tipos genéricos com parâmetros de tipo

Existem algumas estruturas de dados que podem conter outros valores, como `dict`, `list`, `set` e `tuple`. E os valores internos também podem ter seu próprio tipo.

 *
 * <p>The {@link #count} and {@link #size} implementations all iterate across the set returned by
 * {@link Multiset#entrySet()}, as do many methods acting on the set returned by {@link
 * #elementSet()}. Override those methods for better performance.
 *
 * @author Kevin Bourrillion
 * @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
abstract class AbstractMultiset<E extends @Nullable Object> extends AbstractCollection<E>

                            resolved = conflictResolver.resolveConflict(previous, node);
                        }

                        if (resolved == null) {
                            // TODO add better exception that can detail the two conflicting artifacts
                            ArtifactResolutionException are = new ArtifactResolutionException(

		Err:     "requested functionality is not supported",
	}
)

// Error is a KMS error that can be translated into an S3 API error.
//
// It does not implement the standard error Unwrap interface for
// better error log messages.
type Error struct {
	Code    int    // The HTTP status code returned to the client
	APICode string // The API error code identifying the error
	Err     string // The error message returned to the client

### Is concurrency better than parallelism?

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

Concurrency is different than parallelism. And it is better on **specific** scenarios that involve a lot of waiting. Because of that, it generally is a lot better than parallelism for web application development. But not for everything.

import org.eclipse.aether.resolution.ArtifactDescriptorRequest;
import org.eclipse.aether.resolution.ArtifactRequest;
import org.eclipse.aether.resolution.DependencyRequest;

/**
 * Helper class to manage {@link RequestTrace} for better error logging.
 *
 * @since 3.9.9
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */
@Deprecated(since = "4.0.0")
public final class RequestTraceHelper {

    /**

val codenarcVersion = if (isGroovy4) "3.1.0-groovy-4.0" else "3.1.0"
val spockVersion = if (isGroovy4) "2.2-groovy-4.0" else "2.2-groovy-3.0"
val asmVersion = "9.7"
// To try out better kotlin compilation avoidance and incremental compilation
// with -Pkotlin.incremental.useClasspathSnapshot=true
val kotlinVersion = providers.gradleProperty("buildKotlinVersion")
    .getOrElse(embeddedKotlinVersion)

        logger.debug(indent + artifact + " (not setting artifactScope to: " + ignoredScope + "; local artifactScope "
                + artifact.getScope() + " wins)");

        // TODO better way than static? this might hide messages in a reactor
        if (!ignoredArtifacts.contains(artifact)) {
            logger.warn("\n\tArtifact " + artifact + " retains local artifactScope '" + artifact.getScope()

name: Feature Enhancement Request
description: I want to make an existing feature better
labels: ["type=enhancement"]
body:
  - type: markdown
    attributes:
      value: >
        Filing feature requests is one of the most popular ways to contribute to Guava.


        Be aware, though: most feature requests are not accepted, even if they're suggested by
        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our