for (int i = 0; i < SIZE; i++) {
      aa.set(i, (double) COUNTDOWN);
    }
    Counter c1 = new Counter(aa);
    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */

        ArtifactSpec e = createArtifactSpec("e", "1.0");
        ArtifactSpec c1 = e.addDependency("c", "1.0");
        ArtifactSpec f = c1.addDependency("f", "1.0");

        ArtifactResolutionResult res = collect(createSet(new Object[] {a.artifact, e.artifact}));
        assertEquals(
                createSet(new Object[] {a.artifact, b.artifact, e.artifact, c1.artifact, f.artifact}),
                res.getArtifacts(),

    super(description);
    this.table = table;
    this.filter = filter;
    this.containsZero = containsZero;
  }

  private static final int C1 = 0xcc9e2d51;
  private static final int C2 = 0x1b873593;

  /*
   * This method was rewritten in Java from an intermediate step of the Murmur hash function in

    int nodeLabelLen = stringPool.charAt(offset);
    int minLen = Math.min(nodeLabelLen, labelLen);
    for (int i = 0; i < minLen; i++) {
      char c1 = label.charAt(i);
      char c2 = stringPool.charAt(offset + 1 + i);
      if (c1 != c2) {
        return c1 - c2;
      }
    }
    return labelLen - nodeLabelLen;
  }

  /**

    for (int i = 0; i < SIZE; i++) {
      aa.set(i, (double) COUNTDOWN);
    }
    Counter c1 = new Counter(aa);
    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);
    Thread t2 = newStartedThread(c2);
    awaitTermination(t1);
    awaitTermination(t2);
    assertEquals(SIZE * COUNTDOWN, c1.counts + c2.counts);
  }

  /** a deserialized serialized array holds same values */

      table.put("r" + i, "c" + i, "v" + i);
    }
    assertThat(table.rowKeySet()).containsExactly("r0", "r1", "r2", "r3", "r4").inOrder();
    assertThat(table.columnKeySet()).containsExactly("c0", "c1", "c2", "c3", "c4").inOrder();
    assertThat(table.values()).containsExactly("v0", "v1", "v2", "v3", "v4").inOrder();
  }

  public void testCreateWithValidSizes() {

  }

  @Test
  fun cancelingRunningJobTakesNoEffectUntilJobFinishes() {
    dispatcher.maxRequests = 1
    val c1 = client.newCall(newRequest("http://a/1", "tag1"))
    val c2 = client.newCall(newRequest("http://a/2"))
    c1.enqueue(callback)
    c2.enqueue(callback)
    c1.cancel()
    executor.assertJobs("http://a/1")
    executor.finishJob("http://a/1")
    executor.assertJobs("http://a/2")
  }

      return true;
    }
    if (length != s2.length()) {
      return false;
    }
    for (int i = 0; i < length; i++) {
      char c1 = s1.charAt(i);
      char c2 = s2.charAt(i);
      if (c1 == c2) {
        continue;
      }
      int alphaIndex = getAlphaIndex(c1);
      // This was also benchmarked using '&' to avoid branching (but always evaluate the rhs),
      // however this showed no obvious improvement.

        project.setBuild(new Build());

        // Build up an artifactMap
        project.addArtifact(new Artifact("g0", "a0", "v0", "e0", "c0"));
        project.addArtifact(new Artifact("g1", "a1", "v1", "e1", "c1"));
        project.addArtifact(new Artifact("g2", "a2", "v2", "e2", "c2"));
    }

    /**
     * <p>testValueExtraction.</p>
     *
     * @throws Exception if any.
     */
    @Test

			}
		} else {
			// If bytealg.Index is not available a brute force search is
			// ~1.5-3x faster than Rabin-Karp since n is small.
			c0 := b[last]
			c1 := b[last-1] // There are at least 2 chars to match
		loop:
			for ; i < len(s); i++ {
				if s[i] == c0 && s[i-1] == c1 {
					for k := 2; k < n; k++ {
						if s[i-k] != b[last-k] {
							continue loop
						}
					}
					return i - last
				}
			}
		}