// Construct op_name to match the name used by REGISTER_OP in the
    // ATTR_TEST_REGISTER calls above.
    std::string op_name = "CApiAttributesTestOp";
    if (type.find("list(") == 0) {
      op_name += "List";
      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(graph_, op_name.c_str(),

// Returns the serialized OpDef proto with name `op_name`, or a bad status if no
// such op exists. This can return OpDefs of functions copied into the graph.
TF_CAPI_EXPORT extern void TF_GraphGetOpDef(TF_Graph* graph,
                                            const char* op_name,
                                            TF_Buffer* output_op_def,

  TFE_Context* context = TFE_OpGetContext(other, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const char* op_name = TFE_OpGetName(other, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_Op* ret = TFE_NewOp(context, op_name, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const char* device = TFE_OpGetDevice(other, status);

					Host:         handlers.GetSourceIP(r),
				})

				auditLogInternal(context.Background(), AuditLogOptions{
					Event:     "scanner:manyversions",
					APIName:   "PostPolicyBucket",
					Bucket:    eventArgsList[i].Object.Bucket,
					Object:    eventArgsList[i].Object.Name,
					VersionID: eventArgsList[i].Object.VersionID,
					Status:    http.StatusText(http.StatusOK),

		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")
		//     spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "http://minio-lb:9000")