`Make[T]` function, which produces a reference to a canonical copy of
the value in the form of a `Handle[T]`.
Two `Handle[T]` are equal if and only if the values used to produce the
handles are equal, allowing programs to deduplicate values and reduce
their memory footprint.
Comparing two `Handle[T]` values is efficient, reducing down to a simple

                else -> param("env.PATH", "%env.PATH%:/opt/swift/4.2.3/usr/bin:/opt/swift/4.2.4-RELEASE-ubuntu18.04/usr/bin")
            }
        }
        failureConditions {
            // We have test-retry to handle the crash in tests
            javaCrash = false
            // We want to see the flaky tests for flakiness detection
            supportTestRetry = (performanceTestBuildSpec.type != PerformanceTestType.flakinessDetection)

		z.updateRebalanceStats(ctx)
	}
	z.rebalMu.Unlock()

	return nil
}

// updates rebalance.bin from let's say 2 pool setup in the middle
// of a rebalance, was expanded can cause z.rebalMeta to be outdated
// due to a missing new pool. This function tries to handle this
// scenario, albeit rare it seems to have occurred in the wild.
//
// since we do not explicitly disallow it, but it is okay for them

                        withPsiEntry("psi", psi, analysisSession::getModule)
                    }
            }

            // Specially handle @ExtensionFunctionType
            if (dispatchReceiver?.resolvedType?.isExtensionFunctionType == true) {
                firstArgIsExtensionReceiver = true
            }

	// metrics required a list of buckets to be passed to the loader, and the list
	// of buckets is not known until the request is made. So we keep a separate
	// map for bucket metrics and handle them specially.

	// Add the serverName and poolIndex labels to all non-cluster metrics.
	//
	// Also create metric group maps and set the cache.
	metricsCache := newMetricsCache()

				for idx, column := range columns {
					if field := sch.LookUpField(column); field != nil && field.Readable {
						fields[idx] = field
						if count, ok := matchedFieldCount[column]; ok {
							// handle duplicate fields
							for _, selectField := range sch.Fields {
								if selectField.DBName == column && selectField.Readable {
									if count == 0 {
										matchedFieldCount[column]++

    }

    /**
     * Returns a declared member scope which contains both static and non-static callables, as well as all classifiers. Java classes need to
     * be handled specially, because [declaredMemberScope] doesn't handle Java enhancement properly.
     */
    private fun getCombinedFirKotlinDeclaredMemberScope(symbolWithMembers: KtSymbolWithMembers): FirContainingNamesAwareScope {
        val useSiteSession = analysisSession.useSiteSession

     */
    private val FirResolvedTypeRef.correspondingTypePsi: KtUserType?
        get() {
            val sourcePsi = when {
                // array type for vararg parameters is not present in the code, so no need to handle it
                delegatedTypeRef?.source?.kind == KtFakeSourceElementKind.ArrayTypeFromVarargParameter -> null

                // but the array's underlying type is present with a fake source, and needs to be handled

# any Mac or Linux platform with bash 4.2+. Please take care not to modify this function
# without testing properly.
#
# This function will properly handle any type of path including those with spaces using the
# loading pattern specified by *kubectl config*.
#
# testcase: "a:b c:d"
# testcase: "a b:c d:e f"
# testcase: "a b:c:d e"
parse_KUBECONFIG () {
TMPDIR=""

        if (this.equivalence.equals(that.equivalence)) {
          /*
           * We'll accept that as sufficient "proof" that either equivalence should be able to
           * handle either reference, so it's safe to circumvent compile-time type checking.
           */
          @SuppressWarnings("unchecked")
          Equivalence<Object> equivalence = (Equivalence<Object>) this.equivalence;