}
    } else {
      assertEquals(expectedHashCode.asLong.longValue(), hash.asLong());
    }
    assertEquals(expectedHashCode.toString, hash.toString());
    assertSideEffectFree(hash);
    assertReadableBytes(hash);
  }

  private static void assertSideEffectFree(HashCode hash) {
    byte[] original = hash.asBytes();
    byte[] mutated = hash.asBytes();
    mutated[0]++;

    assertThrows(IllegalStateException.class, () -> hasher.putInt(42));
  }

  public void testHashTwice() {
    Hasher hasher = Hashing.hmacMd5(MD5_KEY).newHasher();

    assertEquals(
        "9753980fe94daa8ecaa82216519393a9",
        hasher.putString("The quick brown fox jumps over the lazy dog", UTF_8).hash().toString());

   * exists, a CAS is tried.  Retries proceed by "double hashing",
   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we

            this.repositories.addAll(remoteRepositories);

            int hash = 17;
            hash = hash * 31 + artifactHashCode(artifact);
            hash = hash * 31 + (resolveManagedVersions ? 1 : 2);
            hash = hash * 31 + repositoriesHashCode(repositories);
            this.hashCode = hash;
        }

        @Override
        public int hashCode() {
            return hashCode;

    assertThrows(IllegalStateException.class, () -> hasher.putInt(42));
  }

  public void testHashTwice() {
    Hasher hasher = Hashing.hmacMd5(MD5_KEY).newHasher();

    assertEquals(
        "9753980fe94daa8ecaa82216519393a9",
        hasher.putString("The quick brown fox jumps over the lazy dog", UTF_8).hash().toString());

	}

	formatCountMap := make(map[string]int)
	for _, hash := range formatHashes {
		if hash == "" {
			continue
		}
		formatCountMap[hash]++
	}

	maxHash := ""
	maxCount := 0
	for hash, count := range formatCountMap {
		if count > maxCount {
			maxCount = count
			maxHash = hash
		}
	}

	if maxCount < len(formats)/2 {
		return nil, errErasureReadQuorum

   * exists, a CAS is tried.  Retries proceed by "double hashing",
   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we

### CLI

To build the operator CLI, simply:

```bash
make build
```

Ensure the created binary is in your PATH to run the examples below.

### Controller (in cluster)

Building a custom controller requires a Dockerhub (or similar) account. To build using the container based build:

```bash
HUB=docker.io/<your-account> TAG=latest make docker.operator
```

}

// addChild will add a child based on its hash.
// If it already exists it will not be added again.
func (e *dataUsageEntry) addChild(hash dataUsageHash) {
	if _, ok := e.Children[hash.Key()]; ok {
		return
	}
	if e.Children == nil {
		e.Children = make(dataUsageHashMap, 1)
	}
	e.Children[hash.Key()] = struct{}{}
}

// Create a clone of the entry.

      HashFunction func = cell.getRowKey();
      String input = cell.getColumnKey();
      String expected = cell.getValue();
      assertEquals(
          String.format(Locale.ROOT, "Known hash for hash(%s, UTF_8) failed", input),
          expected,
          func.hashString(input, UTF_8).toString());
    }
  }

  public void testNullPointers() {
    NullPointerTester tester =