return 0;
        }
      };

  // We use a holder class to delay initialization: https://github.com/google/guava/issues/6566
  private static final class LoggerHolder {
    static final Logger logger = Logger.getLogger(CacheBuilder.class.getName());
  }

  static final int UNSET_INT = -1;

  boolean strictParsing = true;

  int initialCapacity = UNSET_INT;
  int concurrencyLevel = UNSET_INT;

                if (logger.isDebugEnabled()) {
                    logger.debug("Interrupted.", e);
                }
            }
        }

        public void awaitTermination(final long mills) {
            try {
                join(mills);
            } catch (final InterruptedException e) {
                if (logger.isDebugEnabled()) {

public class LabelTypeHelper extends AbstractConfigHelper {
    private static final Logger logger = LogManager.getLogger(LabelTypeHelper.class);

    protected volatile List<LabelTypeItem> labelTypeItemList;

    protected volatile List<LabelTypePattern> labelTypePatternList;

    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initialize {}", this.getClass().getSimpleName());
        }

import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.DocumentUtil;

public class FessCrawlerThread extends CrawlerThread {

    private static final Logger logger = LogManager.getLogger(FessCrawlerThread.class);

    protected static final String CRAWLER_CLIENTS = "crawlerClients";

		SSHHandshakeDeadline: 2 * time.Minute,
		Logger:               new(sftpLogger),
		SSHConfig:            sshConfig,
		HandleSFTPSession:    handleSFTPSession,
	})
	if err != nil {
		logger.Fatal(err, "Unable to start SFTP Server")
	}

	err = sftpServer.Listen()
	if err != nil {
		logger.Fatal(err, "SFTP Server had an unrecoverable error while accepting connections")
	}

            if (logger.isDebugEnabled()) {
                logger.debug("SuggestCreator is stopped.", e);
            } else if (logger.isInfoEnabled()) {
                logger.info("SuggestCreator is stopped.");
            }
            exitCode = Constants.EXIT_FAIL;
        } catch (final Throwable t) {
            logger.error("Suggest creator does not work correctly.", t);

                    }
                } else {
                    logger.warn("{} is not available.", generatorName);
                }
            } else if (logger.isDebugEnabled()) {
                logger.debug("No image file exists: {}", noImageFile.getAbsolutePath());
            }
        } catch (final Exception e) {
            logger.warn("Failed to create thumbnail for {}", entity, e);
        }
    }

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

	"github.com/minio/minio/internal/fips"
	"github.com/minio/minio/internal/handlers"
	"github.com/minio/minio/internal/hash"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/mux"
	"github.com/minio/pkg/v2/policy"
	"github.com/minio/sio"
)

// Multipart objectAPIHandlers

// NewMultipartUploadHandler - New multipart upload.

og, java.io.Serializable { private static org.apache.avalon.framework.logger.Logger defaultLogger; private transient org.apache.avalon.framework.logger.Logger logger; private String name; public void AvalonLogger(org.apache.avalon.framework.logger.Logger); public void AvalonLogger(String); public org.apache.avalon.framework.logger.Logger getLogger(); public static void setDefaultLogger(org.apache.avalon.framework.logger.Logger); public void debug(Object, Throwable); public void debug(Object); public...