{
          'key': (
              tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
                  inputs={'x': tensor_info_x},
                  outputs={'r': tensor_info_r},
                  method_name='some_function',
              )
          )
      },
      tf.initializers.global_variables(),
      None,
  )


if __name__ == '__main__':
  common_v1.set_tf_options()

  return {
      'key': (tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
          inputs={'x': tensor_info_x},
          outputs={'r': tensor_info_r},
          method_name='some_function'))
  }, tf.tables_initializer(), None


if __name__ == '__main__':
  common_v1.set_tf_options()

                tags.end());
    EXPECT_NE(meta_graph_def.meta_info_def().tensorflow_version(), "");
    EXPECT_EQ(
        meta_graph_def.signature_def().at("serving_default").method_name(),
        "tensorflow/serving/predict");
  }
};

TEST_F(ReaderTest, TagMatch) {
  MetaGraphDef meta_graph_def;

  const string export_dir = GetDataDependencyFilepath(TestDataSharded());

            String requestMethod = request.getRequestLine().getMethod();
            if (alwaysSendAuth || requestMethod.equals(HttpPut.METHOD_NAME) || requestMethod.equals(HttpPost.METHOD_NAME)) {
                CredentialsProvider credentialsProvider = (CredentialsProvider) context.getAttribute(HttpClientContext.CREDS_PROVIDER);

		Buckets:        []float64{.1, .25, .5, 1, 2.5, 5, 10, 15, 25, 50, 120, 300, 600},
		StabilityLevel: metrics.ALPHA,
	},
	[]string{"driver_name", "method_name", "grpc_status_code", "migrated"},
)

func init() {
	registerMetrics()
}

func registerMetrics() {
	// legacyregistry is the internal k8s wrapper around the prometheus

			if err != nil {
				t.Fatalf("failed to get metric value, error: %v", err)
			}
			// apiserver_envelope_encryption_kms_operations_latency_seconds_sum{grpc_status_code="OK",method_name="/v2alpha1.KeyManagementService/Encrypt",provider_name="providerName"} 0.000881432
			if sampleSum == 0 {
				t.Fatalf("expected metric value to be greater than 0, got %v", sampleSum)
			}

}

// RecordKMSOperationLatency records the latency of KMS operation.
func RecordKMSOperationLatency(providerName, methodName string, duration time.Duration, err error) {
	KMSOperationsLatencyMetric.WithLabelValues(providerName, methodName, getErrorCode(err)).Observe(duration.Seconds())
}

type gRPCError interface {
	GRPCStatus() *status.Status
}

func getErrorCode(err error) string {

      <option name="ALTERNATIVE_JRE_PATH_ENABLED" value="false"/>
      <option name="ALTERNATIVE_JRE_PATH"/>
      <option name="PACKAGE_NAME"/>
      <option name="MAIN_CLASS_NAME"/>
      <option name="METHOD_NAME"/>
      <option name="TEST_OBJECT" value="class"/>
      <option name="VM_PARAMETERS"/>
      <option name="PARAMETERS"/>
      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$"/>

      <option name="ALTERNATIVE_JRE_PATH_ENABLED" value="false" />
      <option name="ALTERNATIVE_JRE_PATH" />
      <option name="PACKAGE_NAME" />
      <option name="MAIN_CLASS_NAME" />
      <option name="METHOD_NAME" />
      <option name="TEST_OBJECT" value="class" />
      <option name="VM_PARAMETERS" />
      <option name="PARAMETERS" />
      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />

      <option name="ALTERNATIVE_JRE_PATH_ENABLED" value="false" />
      <option name="ALTERNATIVE_JRE_PATH" />
      <option name="PACKAGE_NAME" />
      <option name="MAIN_CLASS_NAME" />
      <option name="METHOD_NAME" />
      <option name="TEST_OBJECT" value="class" />
      <option name="VM_PARAMETERS" />
      <option name="PARAMETERS" />
      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />