const std::vector<std::string>& op_names =
      tensorflow::unwrap(ctx)->GetLoggedOpsTestonly();

  std::ostringstream op_names_oss;
  for (const auto& op : op_names) {
    op_names_oss << op << ", ";
  }
  const std::string& op_names_str = op_names_oss.str();
  void* data = tensorflow::port::Malloc(op_names_str.length());
  op_names_str.copy(static_cast<char*>(data), op_names_str.length(), 0);

			}
			goi, gerr = getObjectInfoFn(ctx, bucket, object.ObjectName, opts)
		}

		if !globalTierConfigMgr.Empty() {
			oss[index] = newObjSweeper(bucket, object.ObjectName).WithVersion(opts.VersionID).WithVersioning(opts.Versioned, opts.VersionSuspended)
			oss[index].SetTransitionState(goi.TransitionedObject)
		}

		// All deletes on directory objects needs to be for `nullVersionID`

				noQuorum, err := refreshLock(ctx, dm.clnt, id, source, quorum)
				if err == nil && noQuorum {
					// Clean the lock locally and in remote nodes
					forceUnlock(ctx, dm.clnt, id)
					// Execute the caller lock loss callback
					if lockLossCallback != nil {
						lockLossCallback()
					}
					return
				}

				refreshTimer.Reset(dm.refreshInterval)
			}
		}
	}()
}

            properties:
              detectMultiplier:
                description: Configures the detection multiplier to determine packet
                  loss. The remote transmission interval will be multiplied by this
                  value to determine the connection loss detection timer.
                format: int32
                maximum: 255
                minimum: 2
                type: integer
              echoInterval:

  # Filters to use with both --test_tag_filters and --build_tag_filters
  test_and_build_filters = ['-benchmark-test', '-no_oss', '-oss_excluded']
  # Additional filters for --test_tag_filters beyond those in
  # test_and_build_filters
  test_only_filters = ['-oss_serial']
  if is_windows():
    test_and_build_filters += ['-no_windows', '-windows_excluded']
    if ((environ_cp.get('TF_NEED_CUDA', None) == '1') or

						<fileEncoding>utf-8</fileEncoding>
					</postremoveScriptlet>
				</configuration>
			</plugin>
		</plugins>
	</build>
	<repositories>
		<repository>
			<id>snapshots.oss.sonatype.org</id>
			<url>https://oss.sonatype.org/content/repositories/snapshots</url>
			<releases>
				<enabled>false</enabled>
			</releases>
			<snapshots>
				<enabled>true</enabled>
			</snapshots>
		</repository>

		if newObject.BackendInfo().StandardSCParity == 0 {
			warnings = append(warnings, color.YellowBold("- The standard parity is set to 0. This can lead to data loss."))
		}
		objAPI := newObjectLayerFn()
		if objAPI != nil {
			printStorageInfo(objAPI.StorageInfo(GlobalContext, true))
		}
		if len(warnings) > 0 {
			logger.Info(color.Yellow("STARTUP WARNINGS:"))

	// errors on a previous write(2) operation are reported only on the final close() that releases
	// the open file descriptor.
	//
	// Failing to check the return value when closing a file may lead to silent loss of data.
	// This can especially be observed with NFS and with disk quota.
	return w.Close()
}

#                                                  Scheduler
#                                                     ------
#plugin.repositories=https://repo.maven.apache.org/maven2/org/codelibs/fess/,https://oss.sonatype.org/content/repositories/snapshots/org/codelibs/fess/,https://fess.codelibs.org/plugin/artifacts.yaml
plugin.repositories=https://repo.maven.apache.org/maven2/org/codelibs/fess/,https://fess.codelibs.org/plugin/artifacts.yaml

  EXPECT_EQ(TF_INTERNAL, static_cast<TF_Code>(tensorflow::error::INTERNAL));
  EXPECT_EQ(TF_UNAVAILABLE,
            static_cast<TF_Code>(tensorflow::error::UNAVAILABLE));
  EXPECT_EQ(TF_DATA_LOSS, static_cast<TF_Code>(tensorflow::error::DATA_LOSS));
}

TEST(CAPI, GetAllOpList) {
  TF_Buffer* buf = TF_GetAllOpList();
  tensorflow::OpList op_list;
  EXPECT_TRUE(op_list.ParseFromArray(buf->data, buf->length));