EnforceNodeAllocatable:                    DefaultNodeAllocatableEnforcement,
				VolumePluginDir:                           DefaultVolumePluginDir,
				Logging: logsapi.LoggingConfiguration{
					Format:         "text",
					FlushFrequency: logsapi.TimeOrMetaDuration{Duration: metav1.Duration{Duration: 5 * time.Second}, SerializeAsString: true},
				},
				EnableSystemLogHandler:        utilpointer.Bool(true),

	scope := strings.Join([]string{
		currTime.Format(yyyymmdd),
		globalMinioDefaultRegion,
		string(serviceS3),
		"aws4_request",
	}, SlashSeparator)

	stringToSign := "AWS4-HMAC-SHA256" + "\n" + currTime.Format(iso8601Format) + "\n"
	stringToSign += scope + "\n"
	stringToSign += getSHA256Hash([]byte(canonicalRequest))

	date := sumHMAC([]byte("AWS4"+secretKey), []byte(currTime.Format(yyyymmdd)))

            this.prop = String.format("[%s]", property);
            return this;
        }

        public BeanWithDslMethods prop(Object property) {
            this.prop = String.format("<%s>", property);
            return this;
        }

        public void prop(int property) {
            this.prop = String.format("<%s>", property);
        }

                format: int32
                maximum: 255
                minimum: 2
                type: integer
              echoInterval:
                description: Configures the minimal echo receive transmission interval
                  that this system is capable of handling in milliseconds. Defaults
                  to 50ms
                format: int32
                maximum: 60000

	for i := 0; i < b.N; i++ {
		t.Format("Mon Jan  2 15:04:05 2006")
	}
}

func BenchmarkFormatRFC3339(b *testing.B) {
	t := Unix(1265346057, 0)
	for i := 0; i < b.N; i++ {
		t.Format("2006-01-02T15:04:05Z07:00")
	}
}

func BenchmarkFormatRFC3339Nano(b *testing.B) {
	t := Unix(1265346057, 0)
	for i := 0; i < b.N; i++ {
		t.Format("2006-01-02T15:04:05.999999999Z07:00")
	}
}

Gradle supports 2 different file formats for keyrings: a binary format (`.gpg` file) and a plain text format (`.keys`), also known as ASCII-armored format.

There are pros and cons for each of the formats: the binary format is more compact and can be updated directly via GPG commands, but is completely opaque (binary).

					myCRDV1Beta1, myCRDInstanceName, map[string]interface{}{
						"field": "doesnt abide any format",
					}},
				patchMyCRDV1Beta1Schema{
					"change `field`'s format to `byte",
					map[string]interface{}{
						"properties": map[string]interface{}{
							"field": map[string]interface{}{
								"format": "byte",
							},
							"otherField": map[string]interface{}{
								"type": "string",
							},

				// strings version 2
				"'%d %s %f %s %s'.format([1, 'abc', 1.0, duration('1m'), timestamp('2000-01-01T00:00:00.000Z')]) == '1 abc 1.000000 60s 2000-01-01T00:00:00Z'": 6,
				"'%e'.format([3.14]) == '3.140000 × 10⁰⁰'":        3,
				"'%o %o %o'.format([7, 8, 9]) == '7 10 11'":       2,
				"'%b %b %b'.format([7, 8, 9]) == '111 1000 1001'": 3,
			},
		},
		{name: "escaped strings",

	var format, version uint16
	switch {
	case job.Replicate != nil:
		version = batchReplVersionV1
		format = batchReplFormat
	case job.KeyRotate != nil:
		version = batchKeyRotateVersionV1
		format = batchKeyRotationFormat
	case job.Expire != nil:
		version = batchExpireVersionV1
		format = batchExpireFormat
	default:

                                                    Builder *builder) {
  tensorflow::TensorFormat format;
  if (!FormatFromString(data_format.getValue().str(), &format)) return {};

  // Reduce along all dimensions except the feature dimension.
  int64_t feature_dim = GetTensorFeatureDimIndex(rank, format);
  llvm::SmallVector<int64_t, 4> dims_to_reduce(rank - 1);