String lower = permission.toLowerCase(Locale.ROOT);
        final String aclPrefix;
        if (lower.startsWith(allowPrefix)) {
            lower = lower.substring(allowPrefix.length());
            permission = permission.substring(allowPrefix.length());
            aclPrefix = StringUtil.EMPTY;
        } else if (lower.startsWith(denyPrefix)) {
            lower = lower.substring(denyPrefix.length());

 * extract additional metadata, or perform other transformations during the
 * indexing process.
 *
 * Ingesters are processed in priority order, with lower numbers having higher priority.
 */
public abstract class Ingester {

    /** Priority of this ingester (lower numbers = higher priority) */
    protected int priority = 99;

    /**
     * Default constructor.
     */
    public Ingester() {

  url: https://github.com/AlertRED
hard-coders:
  login: hard-coders
  count: 15
  avatarUrl: https://avatars.githubusercontent.com/u/9651103?u=95db33927bbff1ed1c07efddeb97ac2ff33068ed&v=4
  url: https://github.com/hard-coders
Joao-Pedro-P-Holanda:
  login: Joao-Pedro-P-Holanda
  count: 14

    } else {
      ((int[]) table)[index] = entry;
    }
  }

  /**
   * Returns a larger power of 2 hashtable size given the current mask.
   *
   * <p>For hashtable sizes less than or equal to 32, the returned power of 2 is 4x the current
   * hashtable size to reduce expensive rehashing. Otherwise the returned power of 2 is 2x the
   * current hashtable size.
   */
  static int newCapacity(int mask) {

# Where component owners are known, add them here.

/tensorflow/c/eager @qqfish
/tensorflow/core/common_runtime/eager @qqfish
/tenosrflow/core/debug @caisq
/tensorflow/core/kernels/mkl/ @penpornk
/tensorflow/core/kernels/sparse/ @penpornk
/tensorflow/core/nccl/ @azaks2 @chsigg
/tensorflow/python/autograph/ @mdanatg
/tensorflow/python/debug @caisq
/tensorflow/python/eager @rohan100jain
/tensorflow/tools/docs/ @markdaoust

    } else {
      ((int[]) table)[index] = entry;
    }
  }

  /**
   * Returns a larger power of 2 hashtable size given the current mask.
   *
   * <p>For hashtable sizes less than or equal to 32, the returned power of 2 is 4x the current
   * hashtable size to reduce expensive rehashing. Otherwise the returned power of 2 is 2x the
   * current hashtable size.
   */
  static int newCapacity(int mask) {

// Performs various checks.
absl::Status ComputeBodyNodes(
    const TF_Graph* fn_body, const char* fn_name, int num_opers,
    const TF_Operation* const* opers,
    const std::unordered_map<const Node*, std::vector<int>>& input_nodes,
    std::vector<const Node*>* body_nodes)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  if (num_opers == -1) {

		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>
		If you want to exclude the upper and lower bounds, use "{}".
	</dd>
	<dt>Boost</dt>
	<dd>

// handleAssociationForOwners is a helper function that handles associations for all owners
func (s setCreateOrUpdateG[T]) handleAssociationForOwners(base *DB, ctx context.Context, handler func(owner T, association *Association) error, associationName string) error {
	var owners []T
	if err := base.Find(&owners).Error; err != nil {
		return err
	}

	for _, owner := range owners {

It was deprecated from Starlette, but if you have code that used it, you can easily **migrate** to <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a>, that covers the same use case and has an **almost identical interface**.

/// tip