firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.INNER_ON_TOP_LEVEL_SCRIPT_CLASS.errorFactory) { firDiagnostic ->
        InnerOnTopLevelScriptClassErrorImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.INNER_ON_TOP_LEVEL_SCRIPT_CLASS.warningFactory) { firDiagnostic ->
        InnerOnTopLevelScriptClassWarningImpl(

	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.TopLocksAdminAction)
	if objectAPI == nil {
		return
	}

	count := 10 // by default list only top 10 entries
	if countStr := r.Form.Get("count"); countStr != "" {
		var err error
		count, err = strconv.Atoi(countStr)
		if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
			return

	}

	nodeCollector = newMinioCollectorNode(nodeGroups)
	clusterCollector = newMinioClusterCollector(allMetricsGroups)
	bucketCollector = newMinioBucketCollector(bucketMetricsGroups)
}

// MetricNamespace is top level grouping of metrics to create the metric name.
type MetricNamespace string

// MetricSubsystem is the sub grouping for metrics within a namespace.
type MetricSubsystem string

const (

          <version>3.0.0+</version>
          <description>The default goal (or phase in Maven 2) to execute when none is specified for
            the project. Note that in case of a multi-module build, only the default goal of the top-level
            project is relevant, i.e. the default goals of child modules are ignored. Since Maven 3,
            multiple goals/phases can be separated by whitespace.</description>
          <type>String</type>

#include "tensorflow/core/platform/thread_annotations.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/public/session.h"
#include "tensorflow/core/public/version.h"

// The implementation below is at the top level instead of the
// brain namespace because we are defining 'extern "C"' functions.
using tensorflow::AttrValueMap;
using tensorflow::DataType;
using tensorflow::ExtendSessionGraphHelper;
using tensorflow::FullTypeDef;