return server;
    }

    /**
     * Sets the server address.
     * @param server The server address.
     */
    public void setServer(final String server) {
        this.server = server;
    }

    /**
     * Returns the port number.
     * @return The port number.
     */
    public int getPort() {
        return port;
    }

    /**
     * Sets the port number.
     * @param port The port number.

      if (set.isEmpty()) {
        /*
         * The (tooLow + 1, tooHigh) arguments below would be invalid because tooLow would be
         * greater than tooHigh.
         */
        return ContiguousSet.create(Range.openClosed(0, 1), DiscreteDomain.integers()).subSet(0, 1);
      }
      int tooHigh = set.last() + 1;
      int tooLow = set.first() - 1;
      set.add(tooHigh);

     */
    public int getPriority() {
        return priority;
    }

    /**
     * Sets the priority of this score booster.
     * @param priority The priority.
     */
    public void setPriority(final int priority) {
        this.priority = priority;
    }

    /**
     * Sets the request timeout.
     * @param bulkRequestTimeout The request timeout.
     */

     */
    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) {
        client.setInitParameterMap(params);
    }

    /**

    assertEquals(set.comparator(), copy.comparator());
  }

  @GwtIncompatible // SerializableTester
  public void testSeveral_serialization() {
    SortedSet<String> set = new SafeTreeSet<>();
    set.add("a");
    set.add("b");
    set.add("c");
    SortedSet<String> copy = SerializableTester.reserializeAndAssert(set);
    assertEquals(set.comparator(), copy.comparator());
  }

     *
     * @return the delay time in milliseconds after processing
     */
    public long getDelayMillisAfterProcessing() {
        return delayMillisAfterProcessing;
    }

    /**
     * Sets the delay time in milliseconds after processing a URL.
     *
     * @param delayMillisAfterProcessing the delay time in milliseconds after processing
     */

   
   
   *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.

        return this.dataCount;
    }

    /**
     * Sets the data count for this transaction response
     * @param dataCount
     *            the dataCount to set
     */
    public final void setDataCount(final int dataCount) {
        this.dataCount = dataCount;
    }

    /**
     * Sets the transaction buffer
     * @param buffer
     *            the transaction buffer to use

    }

    /**
     * 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.
     */

     */
    public Method getMethod() {
        return method;
    }

    /**
     * Sets the HTTP method for this request.
     * @param method the HTTP method
     */
    public void setMethod(final Method method) {
        this.method = method;
    }

    /**
     * Sets the HTTP method for this request using a string value.
     * Defaults to GET if the method is not recognized.