//
	// hard-coded extra key/value
	// - key: "foo"
	//   valueExpression: "'bar'"
	// This will result in an extra attribute - foo: ["bar"]
	//
	// hard-coded key, value copying claim value
	// - key: "foo"
	//   valueExpression: "claims.some_claim"
	// This will result in an extra attribute - foo: [value of some_claim]
	//
	// hard-coded key, value derived from claim value

	}
}

// unsafeRead aggregates the delta for this shard into out.
//
// Unsafe because it does so without any synchronization. The
// world must be stopped.
func (m *consistentHeapStats) unsafeRead(out *heapStatsDelta) {
	assertWorldStopped()

	for i := range m.stats {
		out.merge(&m.stats[i])
	}
}

// unsafeClear clears the shard.
//
// Unsafe because the world must be stopped and values should

            cachedValue = null;
        }

        public void cache(LocalComponentGraphResolveState state, boolean useStrongReference) {
            if (useStrongReference) {
                // Keep a hard reference to the state for re-evaluation on mutation
                // and to force the value to be reused for resolution of other configurations
                reference = null;
                cachedValue = state;

	fs.Int32Var(&f.MaxPerPodContainerCount, "maximum-dead-containers-per-container", f.MaxPerPodContainerCount, "Maximum number of old instances to retain per container.  Each container takes up some disk space.")

In general publishing dependencies to enforced platforms is a mistake: enforced platforms shouldn't be used for published components because they behave like forced dependencies and leak to consumers. This can result in hard to diagnose dependency resolution errors. If you did this intentionally you can disable this check by adding 'enforced-platform' to the suppressed validations of the :generateMetadataFileForMavenPublication task."""
    }

					NFS: &v1.NFSVolumeSource{Server: "localhost", Path: "/srv", ReadOnly: false},
				},
			}),
			expectedMountList: []string{"ro", "nfsvers=3", "fsid=100", "hard"},
			systemOptions:     []string{"fsid=100", "hard"},
		},
		"vol-with-sys-opts-with-dup": {
			volume: createVolumeSpecWithMountOption("good-mount-opts", "ro,nfsvers=3", v1.PersistentVolumeSpec{

	//
	// hard-coded extra key/value
	// - key: "foo"
	//   valueExpression: "'bar'"
	// This will result in an extra attribute - foo: ["bar"]
	//
	// hard-coded key, value copying claim value
	// - key: "foo"
	//   valueExpression: "claims.some_claim"
	// This will result in an extra attribute - foo: [value of some_claim]
	//
	// hard-coded key, value derived from claim value

  bool weight_only_quantization = false;

  // The minimum number of elements in a weights array required to apply
  // quantization. This is especially useful not to quantize small tensors as
  // it is hard to get performance benefits from them with quantization. Used
  // in MLIR dynamic range quantizer with int8 weight data type.
  int64_t minimum_elements_for_weights = 1024;

func (s *signer) duration(expirationSeconds *int32) time.Duration {
	if expirationSeconds == nil {
		return s.certTTL
	}

	// honor requested duration is if it is less than the default TTL
	// use 10 min (2x hard coded backdate above) as a sanity check lower bound
	const min = 10 * time.Minute
	switch requestedDuration := csr.ExpirationSecondsToDuration(*expirationSeconds); {
	case requestedDuration > s.certTTL:
		return s.certTTL

          required: false
          schema:
            type: string
            example: en
        - name: preference
          in: query
          description: String to specify a shard for searching
          required: false
          schema:
            type: string
            example: abc
        - name: callback
          in: query
          description: Callback name for using JSONP