// - No fractional digits will be emitted
// - The exponent (or suffix) is as large as possible.
//
// The sign will be omitted unless the number is negative.
//
// Examples:
//
// - 1.5 will be serialized as "1500m"
// - 1.5Gi will be serialized as "1536Mi"
//
// Note that the quantity will NEVER be internally represented by a
// floating point number. That is the whole point of this exercise.
//

                  server_def, tensorflow::Env::Default(), &worker_server2)
                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

  TFE_ContextSetServerDef(context.get(), 0, serialized.data(),
                          serialized.size(), status.get());
  EXPECT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  BasicTestsForTwoDevices(context.get(),

import com.google.common.collect.ImmutableMap;
import java.util.Deque;

/** Parser for a map of reversed domain names stored as a serialized radix tree. */
@GwtCompatible
final class TrieParser {

  private static final Joiner DIRECT_JOINER = Joiner.on("");

  /**
   * Parses a serialized trie representation of a map of reversed public suffixes into an immutable

Java's built-in serialization mechanism is often slower compared to other serialization solutions.
This is due to Java's use of reflection and the need to maintain a lot of metadata.

- **Size of Serialized Data:**
Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead.

- **Flexibility and Control:**

  client_job->mutable_tasks()->insert(
      {0, strings::StrCat("localhost:", client_port)});
  server_def.set_job_name("localhost");
  auto serialized = server_def.SerializeAsString();
  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

// Sets `value` to the binary-serialized TensorShapeProto of the value of
// `attr_name` attribute of `oper`.
TF_CAPI_EXPORT extern void TF_OperationGetAttrTensorShapeProto(
    TF_Operation* oper, const char* attr_name, TF_Buffer* value,
    TF_Status* status);

// Fills in `values` with binary-serialized TensorShapeProto values of the

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BucketOptions) Msgsize() (s int) {
	s = 1 + 8 + msgp.BoolSize + 7 + msgp.BoolSize
	return
}

// MarshalMsg implements msgp.Marshaler

		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = StatusType(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z StatusType) Msgsize() (s int) {
	s = msgp.StringPrefixSize + len(string(z))
	return
}

// DecodeMsg implements msgp.Decodable
func (z *Type) DecodeMsg(dc *msgp.Reader) (err error) {
	{

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *MetricDescription) Msgsize() (s int) {

 *
 * <p>This class is used only for micro-optimization. Standard {@code Future} utilities benefit from
 * this optimization, so there is no need to specialize methods to return or accept this type
 * instead of {@code ListenableFuture}.
 *
 * <p>This class is GWT-compatible.
 *
 * @since {@code com.google.guava:failureaccess:1.0}, which was added as a dependency of Guava in