public void close() {
        isFinished.set(true);
        queue.clear();
    }

    /**
     * Sets the scroll size.
     * @param scrollSize The scroll size.
     */
    public void setScrollSize(final int scrollSize) {
        this.scrollSize = scrollSize;
    }

    /**
     * Sets the limit of document size.
     * @param limitOfDocumentSize The limit of document size.
     */

   
   
   *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;

        // Assert that the object is not null
        assertNotNull(msrpcLsarClose, "MsrpcLsarClose object should not be null");

        // Verify that the constructor correctly sets ptype and flags
        // These values are inherited from LsarClose, but MsrpcLsarClose sets them in its constructor
        assertEquals(0, msrpcLsarClose.getPtype(), "ptype should be 0");

        this.value3 = value3;
    }

    /**
     * Returns the first value.
     *
     * @return The first value
     */
    public T1 getValue1() {
        return value1;
    }

    /**
     * Sets the first value.
     *
     * @param value1
     *            The first value
     */
    public void setValue1(final T1 value1) {
        this.value1 = value1;
    }

    /**

			if err == nil || err == io.EOF {
				return entries, err
			}
			entries.truncate(0)
		} else {
			if o.pool < len(z.serverPools) && o.set < len(z.serverPools[o.pool].sets) {
				o.debugln("Resuming", o)
				entries, err = z.serverPools[o.pool].sets[o.set].streamMetadataParts(ctx, *o)
				entries.reuse = true // We read from stream and are not sharing results.
				if err == nil {
					return entries, nil
				}
			} else {

    /**
     * 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;
    }

    /**

        try {
            return statement.execute(sql);
        } catch (final SQLException ex) {
            throw new SQLRuntimeException(ex);
        }
    }

    /**
     * Sets the fetch size.
     *
     * @param statement
     *            {@link Statement}. Must not be {@literal null}.
     * @param fetchSize
     *            Fetch size.
     * @see Statement#setFetchSize(int)
     */

     */
    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) {