};
    assertCrc(0xd9963a56, scsiReadCommand);
  }

  // Known values from http://www.evanjones.ca/crc32c.html
  public void testSomeOtherKnownValues() {
    assertCrc(0x22620404, "The quick brown fox jumps over the lazy dog".getBytes(UTF_8));
    assertCrc(0xE3069283, "123456789".getBytes(UTF_8));
    assertCrc(0xf3dbd4fe, "1234567890".getBytes(UTF_8));
    assertCrc(0xBFE92A83, "23456789".getBytes(UTF_8));
  }

  }

  public void testExplicit_ordering_dupes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "brown", "fox", "jumped", "over", "a", "lazy", "dog")
            .build();
    assertThat(set).containsExactly("a", "in", "the", "over", "quick", "jumped").inOrder();
  }

  public void testExplicit_contains() {

        }
    }

    @Test
    void testHMACT64WithActualMD5AndDifferentData() throws NoSuchAlgorithmException {
        byte[] key = "key".getBytes();
        byte[] data = "The quick brown fox jumps over the lazy dog".getBytes();

        // Calculate expected HMAC-MD5 using standard Java MessageDigest for comparison

				for i := 0; i < b.N; i++ {
					Trim(x[:k], cs[:j])
				}
			})
		}
	}
}

func BenchmarkTrimByte(b *testing.B) {
	x := []byte("  the quick brown fox   ")
	for i := 0; i < b.N; i++ {
		Trim(x, " ")
	}
}

func BenchmarkIndexPeriodic(b *testing.B) {
	key := []byte{1, 1}
	for _, skip := range [...]int{2, 4, 8, 16, 32, 64} {

     * cause a concurrent read operation to see inconsistent data. This is made easier by the
     * nature of the read operations in Map. For example, no operation can reveal that the table
     * has grown but the threshold has not yet been updated, so there are no atomicity requirements
     * for this with respect to reads.
     *
     * As a guide, all critical volatile reads and writes to the count field are marked in code