* @internal
 */
public interface SmbSessionInternal extends SmbSession {

    /**
     * @return whether the session is in use
     */
    boolean isInUse ();


    /**
     * @return the current session key
     * @throws CIFSException
     */
    byte[] getSessionKey () throws CIFSException;


    /**
     * 
     * @return the transport for this session
     */
    SmbTransport getTransport ();

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"HTTPBasic": []}],
                }
            }
        },
        "components": {

     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;

        result *= i;
      }
      return BigInteger.valueOf(result);
    }

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;
    return oldSlowFactorial(n1, mid).multiply(oldSlowFactorial(mid, n2));
  }

  @Benchmark
  int slowFactorial(int reps) {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"OpenIdConnect": []}],
                }
            }
        },
        "components": {

package com.google.common.graph;

import java.util.Set;
import javax.annotation.CheckForNull;

/**
 * A class to allow {@link ValueGraph} implementations to be backed by a provided delegate. This is
 * not currently planned to be released as a general-purpose forwarding class.
 *
 * @author James Sexton
 * @author Joshua O'Madadhain
 */
@ElementTypesAreNonnullByDefault

 * (method {@link #add}) are contended across threads, the set of variables may grow dynamically to
 * reduce contention. Method {@link #sum} (or, equivalently, {@link #longValue}) returns the current
 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common

				case subCh <- append(GetByteBuffer()[:0], buf.Bytes()...):
					continue
				case <-doneCh:
					return
				}
			}
		}
	}()

	return nil
}

// NumSubscribers returns the number of current subscribers,
// The mask is checked against the active subscribed types,
// and 0 will be returned if nobody is subscribed for the type(s).
func (ps *PubSub[T, M]) NumSubscribers(mask M) int32 {

package cmd

import (
	"context"
	"os"
	"os/exec"
	"runtime"
	"syscall"

	xioutil "github.com/minio/minio/internal/ioutil"
)

// Type of service signals currently supported.
type serviceSignal int

const (
	serviceRestart       serviceSignal = iota // Restarts the server.
	serviceStop                               // Stops the server.

            default:
                return actualOsName.contains(family.toLowerCase(Locale.US));
        }
    }

    /**
     * Helper method to determine the current OS family.
     *
     * @return name of current OS family.
     */
    private static String getOsFamily() {
        return Stream.of(
                        FAMILY_DOS,
                        FAMILY_MAC,