*   When you contribute a new feature to TensorFlow, the maintenance burden is
    (by default) transferred to the TensorFlow team. This means that the benefit
    of the contribution must be compared against the cost of maintaining the
    feature.
*   Full new features (e.g., a new op implementing a cutting-edge algorithm)
    typically will live in

            // Sort by version number
            archives.sort((a, b) -> {
                int versionA = extractVersion(a);
                int versionB = extractVersion(b);
                return Integer.compare(versionB, versionA); // Descending order
            });

            // Keep only the specified number of versions
            for (int i = keepVersions; i < archives.size(); i++) {

     * hashcode.
     */

    @Override
    public int hashCode() {
        return address;
    }

    /**
     * Determines if this address is equal two another. Only the IP Addresses
     * are compared. Similar to the {@link #hashCode} method, the comparison
     * is based on the integer IP address and not the string representation.
     */

    @Override
    public boolean equals(final Object obj) {

                    }
                }
            }
        }

        final var docs = scoreDocMap.values()
                .stream()
                .sorted((e1, e2) -> Float.compare(toFloat(e2.get(scoreField)), toFloat(e1.get(scoreField))))
                .toList();
        int offset = 0;
        for (int i = 0; i < windowSize / 2 && i < docs.size(); i++) {

     * {@code " x "} (space, letter x, space), followed by the count.
     */
    @Override
    String toString();
  }

  // Comparison and hashing

  /**
   * Compares the specified object with this multiset for equality. Returns {@code true} if the
   * given object is also a multiset and contains equal elements with equal counts, regardless of
   * order.
   */
  @Override

That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network

      if (obj instanceof ContainsPatternPredicate) {
        ContainsPatternPredicate that = (ContainsPatternPredicate) obj;

        // Pattern uses Object (identity) equality, so we have to reach
        // inside to compare individual fields.
        return Objects.equals(pattern.pattern(), that.pattern.pattern())
            && pattern.flags() == that.pattern.flags();
      }
      return false;
    }

    @Override

}

func (r *rleBuffer) ReadAt(p []byte, off int64) (n int, err error) {
	if len(p) == 0 {
		return
	}
	skipParts, _ := slices.BinarySearchFunc(r.buf, off, func(rb repeatedByte, off int64) int {
		return cmp.Compare(rb.off+rb.n, off)
	})
	parts := r.buf[skipParts:]
	if len(parts) > 0 {
		skipBytes := off - parts[0].off
		for _, part := range parts {
			repeat := int(min(part.n-skipBytes, int64(len(p)-n)))

  /**
   * Returns an {@code ImmutableSortedSet} containing all of the elements from this {@code
   * FluentIterable} in the order specified by {@code comparator}, with duplicates (determined by
   * {@code comparator.compare(x, y) == 0}) removed. To produce an {@code ImmutableSortedSet} sorted
   * by its natural ordering, use {@code toSortedSet(Ordering.natural())}.
   *

  /**
   * Returns an {@code ImmutableSortedSet} containing all of the elements from this {@code
   * FluentIterable} in the order specified by {@code comparator}, with duplicates (determined by
   * {@code comparator.compare(x, y) == 0}) removed. To produce an {@code ImmutableSortedSet} sorted
   * by its natural ordering, use {@code toSortedSet(Ordering.natural())}.
   *