public Credentials getCredentials() {
        return credentials;
    }

    /**
     * Sets the authentication scope.
     *
     * @param authScope the authentication scope to set
     */
    public void setAuthScope(final AuthScope authScope) {
        this.authScope = authScope;
    }

    /**
     * Sets the credentials.
     * @param credentials The credentials to set.
     */

     */
    public ZonedDateTime getTimestamp() {
        return timestamp;
    }

    /**
     * Sets the text of the suggest item.
     * @param text The text to set.
     */
    public void setText(final String text) {
        this.text = text;
    }

    /**
     * Sets the timestamp of the suggest item.
     * @param timestamp The timestamp to set.
     */

    /**
     * Sets the fourth value.
     *
     * @param value4
     *            The fourth value
     */
    public void setValue4(final T4 value4) {
        this.value4 = value4;
    }

    /**
     * Returns the fifth value.
     *
     * @return The fifth value
     */
    public T5 getValue5() {
        return value5;
    }

    /**
     * Sets the fifth value.
     *

        return DATA_SERVICE_THREAD_LOCAL.get();
    }

    /**
     * Sets the DataService instance for the current thread.
     * If the provided DataService is null, it removes the DataService from the current thread's local storage.
     * Otherwise, it sets the provided DataService to the current thread's local storage.
     *

        /**
         * Returns the label.
         *
         * @return The label.
         */
        public String getLabel() {
            return label;
        }

        /**
         * Sets the label.
         *
         * @param label The label.
         */
        public void setLabel(final String label) {
            this.label = label;
        }

        /**

  public AtomicDouble() {
    // assert doubleToRawLongBits(0.0) == 0L;
  }

  /**
   * Gets the current value.
   *
   * @return the current value
   */
  public final double get() {
    return longBitsToDouble(value);
  }

  /**
   * Sets to the given value.
   *
   * @param newValue the new value
   */
  public final void set(double newValue) {

     */
    public boolean isSuccess() {
        return returnCode == 0;
    }

    /**
     * Gets a human-readable error description.
     *
     * @return the error description
     */
    public String getError() {
        return error != null ? error : "Error code: " + returnCode;
    }

    /**
     * Sets the error message.
     *
     * @param error the error message
     */

         */
        void onDestroy(PooledObject<T> p);
    }

    /**
     * Gets the component name.
     * @return The component name
     */
    public String getComponentName() {
        return componentName;
    }

    /**
     * Sets the component name.
     * @param componentName The component name to set
     */

  public void testSameComparator() {
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Sets.newTreeSet()));
    assertTrue(SortedIterables.hasSameComparator(Ordering.natural(), Maps.newTreeMap().keySet()));
    assertTrue(
        SortedIterables.hasSameComparator(
            Ordering.natural().reverse(), Sets.newTreeSet(Ordering.natural().reverse())));
  }

  public void testComparator() {

   
   
   *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.