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 *BucketReplicationResyncStatus) Msgsize() (s int) {
	s = 1 + 2 + msgp.IntSize + 4 + msgp.MapHeaderSize
	if z.TargetsMap != nil {
		for za0001, za0002 := range z.TargetsMap {
			_ = za0002

			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 *BucketReplicationStat) Msgsize() (s int) {

def TF_WriteRawProtoSummaryOp : TF_Op<"WriteRawProtoSummary", []> {
  let summary = "Writes a `Summary` protocol buffer with serialized string `Summary` protocol buffers.";

  let description = [{
writer: A handle to a summary writer.
step: The step to write the summary for.
tensor: A tensor holding one or more serialized `Summary` protobufs to write.
  }];

  let arguments = (ins

- `buildSrc` and plugin included build inputs, including build configuration inputs and source files.

Gradle uses its own optimized serialization mechanism and format to store the configuration cache entries.
It automatically serializes the state of arbitrary object graphs.
If your tasks hold references to objects with simple state or of supported types you don't have anything to do to support the serialization.

}

void VLogGraphIfAsked(const Graph& graph) {
  if (VLOG_IS_ON(3)) {
    GraphDef graph_def;
    graph.ToGraphDef(&graph_def);
    string serialized;
    ::tensorflow::protobuf::TextFormat::PrintToString(graph_def, &serialized);
    LOG(INFO) << serialized;
  }
}

struct InductionVarInfo {
  Output induction_var;
  Output loop_cond;
};

                implementation "org.test:test:1.0"
            }

            // To trigger the issue:
            // 1. serialize a task that uses the transformed artifact
            // 2. serialize a task whose serialization triggers execution of that transform
            // 3. serialize another task that uses the transformed artifact

// memory available to scavenge.
type scavengeIndex struct {
	// chunks is a scavChunkData-per-chunk structure that indicates the presence of pages
	// available for scavenging. Updates to the index are serialized by the pageAlloc lock.
	//
	// It tracks chunk occupancy and a generation counter per chunk. If a chunk's occupancy
	// never exceeds pallocChunkDensePages over the course of a single GC cycle, the chunk

`_entry_function` attribute into a module, serializes the module into MLIR
bytecode, and embed the bytecode to `tf.XlaCallModule`'s `module` attribute.

After serialization, this pass removes the `_entry_function` attribute from
`tf.XlaCallModule`, and removes all the serialized stablehlo functions
from the top-level module.
### `-tfe-legalize-tfg`

	// WrapSession is called on the server to produce a session ticket/identity.
	//
	// WrapSession must serialize the session state with [SessionState.Bytes].
	// It may then encrypt the serialized state (for example with
	// [Config.DecryptTicket]) and use it as the ticket, or store the state and
	// return a handle for it.
	//

        },
        "kind": {
          "description": "kind is the serialized kind of the resource. It is normally CamelCase and singular. Custom resource instances will use this value as the `kind` attribute in API calls.",
          "type": "string",
          "default": ""
        },
        "listKind": {
          "description": "listKind is the serialized kind of the list for this resource. Defaults to \"`kind`List\".",