func hashOrder(key string, cardinality int) []int {
	if cardinality <= 0 {
		// Returns an empty int slice for cardinality < 0.
		return nil
	}

	nums := make([]int, cardinality)
	keyCrc := crc32.Checksum([]byte(key), crc32.IEEETable)

	start := int(keyCrc % uint32(cardinality))
	for i := 1; i <= cardinality; i++ {
		nums[i-1] = 1 + ((start + i) % cardinality)
	}
	return nums
}

     */
    @Override
    public Iterator<E> iterator() {
        return map.keySet().iterator();
    }

    /**
     * Returns the number of elements in this set (its cardinality).
     *
     * @return the number of elements in this set (its cardinality).
     */
    @Override
    public int size() {
        return map.size();
    }

    /**
     * Returns true if this set contains no elements.
     *

	if cardinality <= 0 {
		return -1
	}
	keyCrc := crc32.Checksum([]byte(key), crc32.IEEETable)
	return int(keyCrc % uint32(cardinality))
}

func hashKey(algo string, key string, cardinality int, id [16]byte) int {
	switch algo {
	case formatErasureVersionV2DistributionAlgoV1:
		return crcHashMod(key, cardinality)
	case formatErasureVersionV3DistributionAlgoV2, formatErasureVersionV3DistributionAlgoV3:

import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;

import jakarta.annotation.Resource;

/**
 * Service class for managing search logs and related analytics.
 *
 * This service provides functionality for querying, aggregating, and managing

      result += System.identityHashCode(matcher.collapseFrom(teststring, ' '));
    }
    return result;
  }

  private static String allMatchingChars(BitSet bitSet) {
    char[] result = new char[bitSet.cardinality()];
    for (int j = 0, c = bitSet.nextSetBit(0); j < result.length; ++j) {
      result[j] = (char) c;
      c = bitSet.nextSetBit(c + 1);
    }
    return new String(result);
  }

          dups.set(i);
        }
      }
      if (dups.isEmpty()) {
        return null;
      }
      @SuppressWarnings({"rawtypes", "unchecked"})
      Entry<K, V>[] newEntries = new Entry[size - dups.cardinality()];
      for (int inI = 0, outI = 0; inI < size; inI++) {
        if (!dups.get(inI)) {
          newEntries[outI++] = entries[inI];
        }
      }
      return newEntries;
    }
  }

  /**

          dups.set(i);
        }
      }
      if (dups.isEmpty()) {
        return localAlternatingKeysAndValues;
      }
      Object[] newAlternatingKeysAndValues = new Object[(size - dups.cardinality()) * 2];
      for (int inI = 0, outI = 0; inI < size * 2; ) {
        if (dups.get(inI >>> 1)) {
          inI += 2;
        } else {
          newAlternatingKeysAndValues[outI++] =

   */
  @GwtIncompatible // SmallCharMatcher
  CharMatcher precomputedInternal() {
    BitSet table = new BitSet();
    setBits(table);
    int totalCharacters = table.cardinality();
    if (totalCharacters * 2 <= DISTINCT_CHARS) {
      return precomputedPositive(totalCharacters, table, toString());
    } else {

*   `tf.data.experimental.dense_to_ragged_batch` to output variable ragged rank.
*   `tf.data.experimental.cardinality` is now a method on `tf.data.Dataset`.
*   `tf.data.Dataset` now supports `len(Dataset)` when the cardinality is
    finite.

### `tf.distribute`:

*   Expose experimental