assertEquals(Boolean.TRUE, pom.getValue("reporting/excludeDefaults"));
        assertPathSuffixEquals("docs", pom.getValue("reporting/outputDirectory"));

        assertEquals(1, ((List<?>) pom.getValue("reporting/plugins")).size());
        assertEquals("org.apache.maven.its.plugins", pom.getValue("reporting/plugins[1]/groupId"));
        assertEquals("maven-it-plugin-reporting", pom.getValue("reporting/plugins[1]/artifactId"));

            }

            Reporting reporting = m.getReporting();
            if (reporting != null) {
                for (ReportPlugin p : reporting.getPlugins()) {
                    validateStringNotEmpty(
                            "reporting.plugins.plugin.artifactId",
                            problems,
                            Severity.ERROR,

                                execution. While this /may/ work fine, please look for plugin updates and/or \
                                request plugins be made thread-safe. If reporting an issue, report it against the \
                                plugin in question, not against Apache Maven.""")) {
                        logger.warn(s);
                    }

    return entryHelper.valueStrength().defaultEquivalence();
  }

  // ConcurrentMap methods

  @Override
  public boolean isEmpty() {
    /*
     * Sum per-segment modCounts to avoid mis-reporting when elements are concurrently added and
     * removed in one segment while checking another, in which case the table was never actually
     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment

        if (depMgmt == null) {
            return;
        }

        String importing = model.getGroupId() + ':' + model.getArtifactId() + ':' + model.getVersion();

        importIds.add(importing);

        final WorkspaceModelResolver workspaceResolver = request.getWorkspaceModelResolver();

# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(
    name = "tensorflow_framework",
    additional_linker_inputs = [

  }

  /**
   * Enable the accumulation of {@link CacheStats} during the operation of the cache. Without this
   * {@link Cache#stats} will return zero for all statistics. Note that recording stats requires
   * bookkeeping to be performed with each operation, and thus imposes a performance penalty on
   * cache operation.
   *
   * @return this {@code CacheBuilder} instance (for chaining)

  }

  /**
   * Enable the accumulation of {@link CacheStats} during the operation of the cache. Without this
   * {@link Cache#stats} will return zero for all statistics. Note that recording stats requires
   * bookkeeping to be performed with each operation, and thus imposes a performance penalty on
   * cache operation.
   *
   * @return this {@code CacheBuilder} instance (for chaining)

					// clean import.
					err := globalIAMSys.DeleteServiceAccount(ctx, svcAcctReq.AccessKey, true)
					if err != nil {
						delErr := fmt.Errorf("failed to delete existing service account (%s) before importing it: %w", svcAcctReq.AccessKey, err)
						writeErrorResponseJSON(ctx, w, importError(ctx, delErr, allSvcAcctsFile, user), r.URL)
						return
					}
				}
				opts := newServiceAccountOpts{