minio-es-tolerance-alert.png...

		// quorum + 1 when tolerance is exactly half of the
		// total locker clients.
		if quorum == tolerance {
			quorum++
		}
	}

	log("lockBlocking %s/%s for %#v: lockType readLock(%t), additional opts: %#v, quorum: %d, tolerance: %d, lockClients: %d\n", id, source, dm.Names, isReadLock, opts, quorum, tolerance, len(restClnts))

	tolerance = len(restClnts) - quorum
	attempt := uint(0)

	for {
		select {

   * implementations.
   *
   * @throws IllegalArgumentException if {@code tolerance} is {@code < 0} or NaN
   * @since 13.0
   */
  public static boolean fuzzyEquals(double a, double b, double tolerance) {
    MathPreconditions.checkNonNegative("tolerance", tolerance);
    return Math.copySign(a - b, 1.0) <= tolerance
        // copySign(x, 1.0) is a branch-free version of abs(x), but with different NaN semantics

   * implementations.
   *
   * @throws IllegalArgumentException if {@code tolerance} is {@code < 0} or NaN
   * @since 13.0
   */
  public static boolean fuzzyEquals(double a, double b, double tolerance) {
    MathPreconditions.checkNonNegative("tolerance", tolerance);
    return Math.copySign(a - b, 1.0) <= tolerance
        // copySign(x, 1.0) is a branch-free version of abs(x), but with different NaN semantics

          assertFalse(DoubleMath.fuzzyEquals(inf, a, tolerance));
        }
      }
    }
  }

  public void testFuzzyInfiniteVersusInfiniteWithFiniteTolerance() {
    for (double inf : INFINITIES) {
      for (double tolerance : FINITE_TOLERANCE_CANDIDATES) {
        assertTrue(DoubleMath.fuzzyEquals(inf, inf, tolerance));
        assertFalse(DoubleMath.fuzzyEquals(inf, -inf, tolerance));
      }

To verify the above sample alert follow below steps

1. Start a distributed MinIO instance (4 nodes setup)
2. Start Prometheus server and AlertManager
3. Bring down couple of MinIO instances to bring down the Erasure Set tolerance to -1 and verify the same with `mc admin prometheus metrics ALIAS | grep minio_cluster_health_erasure_set_status`

}
func TestSpec(t *testing.T) { testDirFiles(t, "../../../../internal/types/testdata/spec", 20, false) } // TODO(gri) narrow column tolerance
func TestExamples(t *testing.T) {
	testDirFiles(t, "../../../../internal/types/testdata/examples", 125, false)
} // TODO(gri) narrow column tolerance
func TestFixedbugs(t *testing.T) {

	// backwards and not scale down below any recommendation it made during that period.
	HorizontalPodAutoscalerDownscaleStabilizationWindow metav1.Duration
	// horizontalPodAutoscalerTolerance is the tolerance for when
	// resource usage suggests upscaling/downscaling
	HorizontalPodAutoscalerTolerance float64
	// HorizontalPodAutoscalerCPUInitializationPeriod is the period after pod start when CPU samples
	// might be skipped.

/** Asserts that double actual == expected within the specified tolerance.
 *  If actual is within granularity of expected, the assertion passes.
 *  Reports failure with no other action.
 */
#define CU_ASSERT_DOUBLE_EQUAL(actual, expected, granularity) \

	fs.Float64Var(&o.HorizontalPodAutoscalerTolerance, "horizontal-pod-autoscaler-tolerance", o.HorizontalPodAutoscalerTolerance, "The minimum change (from 1.0) in the desired-to-actual metrics ratio for the horizontal pod autoscaler to consider scaling.")