return pkg, nil
}

// pushScope enters a new scope (walking a package, type, node, etc)
// and returns a function that will leave the scope (with sanity checking
// for mismatched pushes & pops)
func (w *Walker) pushScope(name string) (popFunc func()) {
	w.scope = append(w.scope, name)
	return func() {
		if len(w.scope) == 0 {
			log.Fatalf("attempt to leave scope %q with empty scope list", name)
		}

                xml.append("            <version>").append(dependency.version).append("</version>\n");
                if (dependency.scope != null) {
                    xml.append("            <scope>").append(dependency.scope).append("</scope>\n");
                }
                xml.append("        </dependency>\n");
            }
            xml.append("    </dependencies>\n");
        }

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              files=".*[/\\]core[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]api[/\\][^/\\]+"/>
    <suppress checks="JavadocPackage"
              files=".*[/\\]core[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]api[/\\]tasks[/\\][^/\\]+"/>
    <suppress checks="JavadocPackage"
              files=".*[/\\]core[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]testfixtures[/\\][^/\\]+"/>
    <suppress checks="JavadocPackage"

 notation for realms we have the following:

+-----+
      [plexus.core]
            ^
            |
   [plexus.core.maven]
     ^            ^
     |            |
[plugin0]      [plugin1]
+-----+

 The <<<plexus.core>>> realm contains the resources required to run any
 plexus application; The <<<plexus.core.maven>>> realm contains all of the

            String type,
            String classifier,
            String scope,
            String inheritedScope,
            boolean optional) {
        String desiredScope = Artifact.SCOPE_RUNTIME;

        if (inheritedScope == null) {
            desiredScope = scope;
        } else if (Artifact.SCOPE_TEST.equals(scope) || Artifact.SCOPE_PROVIDED.equals(scope)) {
            return null;

flow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/test...

### `scope` para sub-dependencias { #scope-for-sub-dependencies }

Cuando declaras una dependencia con `scope="request"` (el valor por defecto), cualquier sub-dependencia también necesita tener un `scope` de `"request"`.

Pero una dependencia con `scope` de `"function"` puede tener dependencias con `scope` de `"function"` y `scope` de `"request"`.

    String ROLE = ClasspathTransformation.class.getName();

    /**
     * Transform Graph into a Collection of metadata objects that
     * could serve as a classpath for a particular scope
     *
     * @param dirtyGraph - dependency graph
     * @param scope - which classpath to extract
     * @param resolve - whether to resolve artifacts.
     * @return Collection of metadata objects in the linked subgraph of the graph which

#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/blocking_counter.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/init_main.h"
#include "tensorflow/core/platform/mutex.h"