/** Timeout for process destruction in milliseconds. */
        private final long timeout;

        /**
         * Constructor for ProcessDestroyer.
         * @param p The process to monitor.
         * @param ist The input stream thread.
         * @param timeout The destruction timeout.
         */

     */
    public Set<String> getRunningSessionIdSet() {
        return runningProcessMap.keySet();
    }

    /**
     * Sets the timeout for process destruction.
     *
     * @param processDestroyTimeout timeout in seconds for process destruction
     */
    public void setProcessDestroyTimeout(final int processDestroyTimeout) {
        this.processDestroyTimeout = processDestroyTimeout;
    }

    /**

            // Wait a bit for the processes to start
            Thread.sleep(50);

            // Destroy all processes
            processHelper.destroy();

            // Wait a bit for destruction to complete
            Thread.sleep(100);

            assertFalse(processHelper.isProcessRunning());
        } catch (Exception e) {
            fail("Unexpected exception: " + e.getMessage());
        }

	go f()
}
</pre>

<p>
calling <code>hello</code> will print <code>"hello, world"</code>
at some point in the future (perhaps after <code>hello</code> has returned).
</p>

<h3 id="goexit">Goroutine destruction</h3>

<p>
The exit of a goroutine is not guaranteed to be synchronized before
any event in the program.
For example, in this program:
</p>

<pre>
var a string

func hello() {

        }

        if (other instanceof Restriction restriction) {
            if (lowerBound != null) {
                if (!lowerBound.equals(restriction.lowerBound)) {
                    return false;
                }
            } else if (restriction.lowerBound != null) {
                return false;
            }

            if (lowerBoundInclusive != restriction.lowerBoundInclusive) {
                return false;

        List<Restriction> restrictions = range.getRestrictions();
        assertEquals(1, restrictions.size(), CHECK_NUM_RESTRICTIONS);
        Restriction restriction = restrictions.get(0);
        assertNull(restriction.getLowerBound(), CHECK_LOWER_BOUND);
        assertFalse(restriction.isLowerBoundInclusive(), CHECK_LOWER_BOUND_INCLUSIVE);
        assertEquals("1.0", restriction.getUpperBound().toString(), CHECK_UPPER_BOUND);

    }

    private List<Restriction> intersection(List<Restriction> r1, List<Restriction> r2) {
        List<Restriction> restrictions = new ArrayList<>(r1.size() + r2.size());
        Iterator<Restriction> i1 = r1.iterator();
        Iterator<Restriction> i2 = r2.iterator();
        Restriction res1 = i1.next();
        Restriction res2 = i2.next();

        boolean done = false;

    private final Range<C> restriction;

    SubRangeSet(Range<C> restriction) {
      super(
          new SubRangeSetRangesByLowerBound<C>(
              Range.<Cut<C>>all(), restriction, TreeRangeSet.this.rangesByLowerBound));
      this.restriction = restriction;
    }

    @Override
    public boolean encloses(Range<C> range) {
      if (!restriction.isEmpty() && restriction.encloses(range)) {

   
   
   *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.

        }

        VersionRange range = artifact.getVersionRange();
        if (range != null) {
            for (Restriction restriction : range.getRestrictions()) {
                if (isSnapshot(restriction.getLowerBound()) || isSnapshot(restriction.getUpperBound())) {
                    return RELEASE_OR_SNAPSHOT;
                }
            }
        }

        return RELEASE;
    }