Ordering<String> ordering = Ordering.natural();
    Ordering<Iterable<String>> lexy = ordering.lexicographical();

    ImmutableList<String> empty = ImmutableList.of();
    ImmutableList<String> a = ImmutableList.of("a");
    ImmutableList<String> aa = ImmutableList.of("a", "a");
    ImmutableList<String> ab = ImmutableList.of("a", "b");
    ImmutableList<String> b = ImmutableList.of("b");

    Ordering<String> ordering = Ordering.natural();
    Ordering<Iterable<String>> lexy = ordering.lexicographical();

    ImmutableList<String> empty = ImmutableList.of();
    ImmutableList<String> a = ImmutableList.of("a");
    ImmutableList<String> aa = ImmutableList.of("a", "a");
    ImmutableList<String> ab = ImmutableList.of("a", "b");
    ImmutableList<String> b = ImmutableList.of("b");

			Description:    tierRequestsSuccessMD,
			Value:          float64(stat.success),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    tierRequestsFailureMD,
			Value:          float64(stat.failure),
			VariableLabels: map[string]string{"tier": tier},
		})
	}
	return metrics
}

func (config *TierConfigMgr) refreshedAt() time.Time {

	defer serverVerifyHandler.PutResponse(recvCfg)

	return srcCfg.Diff(recvCfg)
}

// Stringer provides a canonicalized representation of node.
func (client *bootstrapRESTClient) String() string {
	return client.gridConn.String()
}

var binaryChecksum = getBinaryChecksum()

func getBinaryChecksum() string {
	mw := md5.New()
	binPath, err := os.Executable()
	if err != nil {

type Schema struct {
	Name                      string
	ModelType                 reflect.Type
	Table                     string
	PrioritizedPrimaryField   *Field
	DBNames                   []string
	PrimaryFields             []*Field
	PrimaryFieldDBNames       []string
	Fields                    []*Field
	FieldsByName              map[string]*Field
	FieldsByBindName          map[string]*Field // embedded fields is 'Embed.Field'

      session->graph,
      tensorflow::strings::StrCat("fifo_queue_enqueue_", tensor_id).c_str());
  if (enqueue_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the enqueue node in the TF graph.");
    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::StrCat("arg_tensor_enqueue_", tensor_id).c_str());

			"X-Amz-Server-Side-Encryption-Aws-Kms-Key-Id": []string{""},
			"X-Amz-Server-Side-Encryption-Context":        []string{""},
		},
		Expected: true,
	}, // 4
	{
		Header: http.Header{
			"X-Amz-Server-Side-Encryption":                []string{"AES256"},
			"X-Amz-Server-Side-Encryption-Aws-Kms-Key-Id": []string{""},
		},
		Expected: true,
	}, // 5

package configdump

import (
	"fmt"
	"sort"
	"strings"
	"text/tabwriter"

	core "github.com/envoyproxy/go-control-plane/envoy/config/core/v3"
	"sigs.k8s.io/yaml"

	"istio.io/istio/pkg/util/protomarshal"
)

const typeURLPrefix = "type.googleapis.com/"

func (c *ConfigWriter) PrintEcds(outputFormat string) error {
	if c.configDump == nil {

The [strings] package adds several functions that work with iterators:
- [Lines] returns an iterator over
  the newline-terminated lines in the string s.
- [SplitSeq] returns an iterator over
  all substrings of s separated by sep.
- [SplitAfterSeq] returns an iterator
  over substrings of s split after each instance of sep.
- [FieldsSeq] returns an iterator over
  substrings of s split around runs of whitespace characters,
  as defined by unicode.IsSpace.

	ChecksumCRC32C string `xml:"ChecksumCRC32C,omitempty"`
	ChecksumSHA1   string `xml:"ChecksumSHA1,omitempty"`
	ChecksumSHA256 string `xml:"ChecksumSHA256,omitempty"`
}

// DeleteError structure.
type DeleteError struct {
	Code      string
	Message   string
	Key       string
	VersionID string `xml:"VersionId"`
}

// DeleteObjectsResponse container for multiple object deletes.