},
               "expr": "sum by (pod) (\n  container_memory_working_set_bytes{container=\"discovery\", pod=~\"istiod-.*\"}\n)",
               "legendFormat": "Container ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

type":"prometheus","uid":"${datasource}"},"expr":"go_memstats_heap_sys_bytes{app=\"istiod\"}","format":"time_series","hide":true,"intervalFactor":2,"legendFormat":"heap sys","refId":"A"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"go_memstats_heap_alloc_bytes{app=\"istiod\"}","format":"time_series","hide":true,"intervalFactor":2,"legendFormat":"heap alloc","refId":"D"},{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"go_memstats_alloc_bytes{app=\"istiod\"}"...

               },
               "expr": "sum by (pod) (\n  rate(\n    istio_tcp_connections_opened_total{pod=~\"ztunnel-.*\"}\n  [$__rate_interval])\n)",
               "legendFormat": "Opened ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

        val valueArgument = unwrapQualified<KtValueArgument> { valueArg, expr ->
            // If `valueArg` is [KtLambdaArgument], its [getArgumentExpression] could be labeled expression (e.g., l@{ ... }).
            // That is not exactly `expr`, which would be [KtLambdaExpression]. So, we need [unwrap] here.
            valueArg.getArgumentExpression()?.unwrap() == expr
        } ?: return null
        val callExpression =

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_node_replication_average_active_workers{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"

		case metav1.LabelSelectorOpDoesNotExist:
			op = selection.DoesNotExist
		default:
			return nil, fmt.Errorf("%q is not a valid label selector operator", expr.Operator)
		}
		r, err := labels.NewRequirement(expr.Key, op, append([]string(nil), expr.Values...))
		if err != nil {
			return nil, err
		}
		requirements = append(requirements, *r)
	}
	selector := labels.NewSelector()

        var representativePsi: KtElement? = null
        val flattenedVarargs = buildList {
            for (expr in this@convertVarargsExpression) {
                val converted = expr.convertConstantExpression(builder) ?: continue

                if ((expr is FirSpreadArgumentExpression || expr is FirNamedArgumentExpression) && converted is KaArrayAnnotationValue) {
                    addAll(converted.values)

		if !f {
			return nil, fmt.Errorf("failed to find targetsList in type %T: %v", targets, targets)
		}
		for _, t := range targetsList {
			tm := t.(map[string]any)
			expr, f := tm["expr"]
			if !f {
				continue
			}
			queries = append(queries, expr.(string))
		}
	}
	return queries, nil
}

func includeQuery(query string, excluded []string) bool {
	for _, f := range excluded {

// Constant folding computes the exact constant value (constant.Value)
// for every expression (syntax.Expr) that is a compile-time constant.
// Use Info.Types[expr].Value for the results of constant folding.
//
// Type inference computes the type (Type) of every expression (syntax.Expr)
// and checks for compliance with the language specification.
// Use Info.Types[expr].Type for the results of type inference.
package types2

import (

		tx.Statement.TableExpr = &clause.Expr{SQL: name, Vars: args}
		if results := tableRegexp.FindStringSubmatch(name); len(results) == 3 {
			if results[1] != "" {
				tx.Statement.Table = results[1]
			} else {
				tx.Statement.Table = results[2]
			}
		}
	} else if tables := strings.Split(name, "."); len(tables) == 2 {
		tx.Statement.TableExpr = &clause.Expr{SQL: tx.Statement.Quote(name)}
		tx.Statement.Table = tables[1]