shape_handle, static_cast<DataType>(types[i]));
  }

  ic->set_output_handle_shapes_and_types(output.index, shape_and_type_vec);
}

// Helpers for loading a TensorFlow plugin (a .so file).
absl::Status LoadDynamicLibrary(const char* library_filename, void** result,
                                const void** buf, size_t* len);

      {
        "subprojects": [
          "base-ide-plugins",
          "build-process-services",
          "docs-asciidoctor-extensions-base",
          "gradle-cli",
          "isolated-action-services",
          "logging-api",
          "plugin-use",
          "serialization",
          "time",
          "toolchains-jvm-shared",
          "versioned-cache"
        ],
        "parallelizationMethod": {

		BucketName: bucket,
		Object:     objInfo,
		UserAgent:  "Internal: [Replication]",
		Host:       globalLocalNodeName,
	})

	// re-queue failures once more - keep a retry count to avoid flooding the queue if
	// the target site is down. Leave it to scanner to catch up instead.
	if rinfos.ReplicationStatus() != replication.Completed {
		ri.OpType = replication.HealReplicationType
		ri.EventType = ReplicateMRF

	}
	return false
}

// CopyObjectHandler - Copy Object
// ----------
// This implementation of the PUT operation adds an object to a bucket
// while reading the object from another source.
// Notice: The S3 client can send secret keys in headers for encryption related jobs,
// the handler should ensure to remove these keys before sending them to the object layer.

	for i, input := range putObjectInputs {
		// uploading the object.
		_, err := obj.PutObject(context.Background(), input.bucketName, input.objectName, mustGetPutObjReader(t, bytes.NewReader(input.textData), input.contentLength, input.metaData[""], ""), ObjectOptions{UserDefined: input.metaData})
		// if object upload fails stop the test.
		if err != nil {
			t.Fatalf("Put Object case %d:  Error uploading object: <ERROR> %v", i+1, err)
		}
	}