}

    /**
     * Gets the lease key for this V2 lease request
     * @return the lease key
     */
    public Smb2LeaseKey getLeaseKey() {
        return leaseKey;
    }

    /**
     * Sets the lease key for this V2 lease request
     * @param leaseKey the lease key to set
     */
    public void setLeaseKey(Smb2LeaseKey leaseKey) {
        this.leaseKey = leaseKey;
    }

    /**

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

import static java.util.Arrays.asList;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.collect.ImmutableSortedMap;
import com.google.common.collect.Ordering;
import com.google.common.collect.Sets;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.testing.SerializableTester;
import java.util.ArrayList;

    /**
     * Gets the registration ID.
     *
     * @return the registration ID
     */
    public String getRegistrationId() {
        return registrationId;
    }

    /**
     * Sets the registration ID.
     *
     * @param registrationId the registration ID
     */
    public void setRegistrationId(String registrationId) {
        this.registrationId = registrationId;
    }

    /**

     */
    public String getEncoding() {
        return encoding;
    }

    /**
     * Sets the encoding for the response content.
     *
     * @param encoding the encoding to set.
     */
    public void setEncoding(final String encoding) {
        this.encoding = encoding;
    }

    /**
     * Sets the exception that occurred while accessing the content.
     *
     * @param e the exception to set.

    protected RequestListener listener;

    /**
     * Constructs a new FaultTolerantClient.
     */
    public FaultTolerantClient() {
        // Default constructor
    }

    @Override
    /**
     * Sets the initialization parameters for the underlying CrawlerClient.
     *
     * @param params a map of parameter names and values to be set
     */
    public void setInitParameterMap(final Map<String, Object> params) {

    /**
     * Gets the full UNC path.
     *
     * @return the full UNC path
     */
    String getFullUNCPath();

    /**
     * Sets the path to the resource.
     *
     * @param path the path to set
     */
    void setPath(String path);

    /**
     * Sets the full UNC path components.
     *
     * @param domain the domain name
     * @param server the server name
     * @param fullPath the full UNC path

  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test
  public void equivalent_directedVsUndirected() {
    graph.putEdge(N1, N2);

    MutableGraph<Integer> g2 = createGraph(oppositeType(edgeType));
    g2.putEdge(N1, N2);

    assertThat(graph).isNotEqualTo(g2);
  }

  // Node/edge sets and node/edge connections are the same, but directedness differs.

    EndpointPair<N> endpointPair = incidentNodes(edge); // Verifies that edge is in this network.
    Set<E> endpointPairIncidentEdges =
        Sets.union(incidentEdges(endpointPair.nodeU()), incidentEdges(endpointPair.nodeV()));
    return edgeInvalidatableSet(
        Sets.difference(endpointPairIncidentEdges, ImmutableSet.of(edge)), edge);
  }

  @Override
  public Set<E> edgesConnecting(N nodeU, N nodeV) {

	"flag"
	"fmt"
	"log"
	"net/url"
	"os"
	"path/filepath"
	"strings"
	"syscall"

	"github.com/minio/pkg/v3/ellipses"
)

type xl struct {
	This string     `json:"this"`
	Sets [][]string `json:"sets"`
}

type format struct {
	ID string `json:"id"`
	XL xl     `json:"xl"`
}

func getMountMap() (map[string]string, error) {
	result := make(map[string]string)