# Elasticsearch Microbenchmark Suite

This directory contains the microbenchmark suite of Elasticsearch. It relies on [JMH](http://openjdk.java.net/projects/code-tools/jmh/).

## Purpose

We do not want to microbenchmark everything but the kitchen sink and should typically rely on our
[macrobenchmarks](https://elasticsearch-benchmarks.elastic.co/app/kibana#/dashboard/Nightly-Benchmark-Overview) with

      assertTrue(
          IntMath.biggestBinomials[k] == Integer.MAX_VALUE
              || !fitsInInt(BigIntegerMath.binomial(IntMath.biggestBinomials[k] + 1, k)));
      // In the first case, any int is valid; in the second, we want to test that the next-bigger
      // int overflows.
    }
    assertFalse(
        fitsInInt(
            BigIntegerMath.binomial(

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They
# must come from this module. So python adds these symbols for the
# resolution to succeed.
# pylint: disable=undefined-variable

        // This test verifies that the DBFluteSystem is properly unlocked and locked
        // during the process, though we can't directly test the lock state

        // When
        try {
            curtainBeforeHook.processDBFluteSystem();

            // Then - if we get here without exception, the unlock/lock worked
            DfFinalTimeZoneProvider provider = getDBFluteSystemTimeZoneProvider();

      return super.toString();
    }

    private static final long serialVersionUID = 0;
  }

  /*
   * This is somewhat of a weak test; we verify that all of the methods are
   * correct, but not that they're actually forwarding correctly. We also rely
   * on the other tests (e.g., SynchronizedSetTest) to verify that the
   * collection views are synchronized correctly.
   */

  public void testSize() {

 * thread-safe, even when all of the methods that they depend on are thread-safe.
 *
 * @author Mike Bostock
 * @author Louis Wasserman
 * @since 2.0
 */
@GwtCompatible
/*
 * We provide and encourage use of ForwardingNavigableSet over this class, but we still provide this
 * one to preserve compatibility.
 */
@SuppressWarnings("JdkObsolete")
public abstract class ForwardingSortedMap<K extends @Nullable Object, V extends @Nullable Object>

Symmetrically, the same problem exists on the side of Gradle maintainers.
It should be clear when introducing a property what contract users can expect and what we can afford to provide.
As features progress through the lifecycle of stabilization and, possibly later, deprecation, the corresponding properties can also adjust accordingly.

    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;

   * This is primarily useful in a finally block, where a thrown exception needs to be logged but
   * not propagated (otherwise the original exception will be lost).
   *
   * <p>If {@code swallowIOException} is true then we never throw {@code IOException} but merely log
   * it.
   *
   * <p>Example:
   *
   * {@snippet :
   * public void useStreamNicely() throws IOException {
   *   SomeStream stream = new SomeStream("foo");

    assertThat(transformation.isVertical()).isFalse();
    assertThat(transformation.isHorizontal()).isFalse();
    assertThat(transformation.slope()).isWithin(ALLOWED_ERROR).of(slope);
    // Note that we cannot test the actual mapping of points, as the results will be unreliable due
    // to loss of precision with this value of the slope.
  }

  public void testMappingWithSlope_maximalSlope() {
    double x1 = 1.2;