// Size returns the output size of the hash function in bytes.
func (d *state) Size() int { return d.outputLen }

// Reset clears the internal state by zeroing the sponge state and
// the buffer indexes, and setting Sponge.state to absorbing.
func (d *state) Reset() {
	// Zero the permutation's state.
	for i := range d.a {
		d.a[i] = 0
	}
	d.state = spongeAbsorbing
	d.i, d.n = 0, 0
}

		limit = listOptions.Limit
	}

	var estimatedObjectsToBeProcessed int64

	switch {
	case isListFromCache:
		// TODO: For resources that implement indexes at the watchcache level,
		//  we need to adjust the cost accordingly
		estimatedObjectsToBeProcessed = numStored
	case listOptions.FieldSelector != "" || listOptions.LabelSelector != "":

  }

  /**
   * Returns a stream consisting of the results of applying the given function to the elements of
   * {@code stream} and their indexes in the stream. For example,
   *
   * <pre>{@code
   * mapWithIndex(
   *     IntStream.of(10, 11, 12),
   *     (e, index) -> index + ":" + e)
   * }</pre>
   *

					{
						Type:    batch.JobFailed,
						Status:  v1.ConditionTrue,
						Reason:  batch.JobReasonFailedIndexes,
						Message: "Job has failed indexes",
					},
				},
			},
		},
		"job failed due to exceeding max failed indexes": {
			enableJobBackoffLimitPerIndex: true,
			job: batch.Job{
				TypeMeta:   metav1.TypeMeta{Kind: "Job"},
				ObjectMeta: validObjectMeta,

// - erasure algorithm is different
// - data blocks are different
// - parity blocks are different
// - block size is different
// - distribution array size is different
// - distribution indexes are different
func (ei ErasureInfo) Equal(nei ErasureInfo) bool {
	if ei.Algorithm != nei.Algorithm {
		return false
	}
	if ei.DataBlocks != nei.DataBlocks {
		return false
	}

  val b0 = this[index].code
  val b1 = this[index + 1].code
  return (b0 shl 7) + b1
}

/**
 * An extremely generic binary search that doesn't know what data it's searching over. The caller
 * provides indexes and a comparison function, and this calls that function iteratively.
 *
 * @return the index of the match. If no match is found this is `(-1 - insertionPoint)`, where the

    primary: teal
    accent: amber
    toggle:
      icon: material/lightbulb-outline
      name: Switch to light mode
  features:
  - search.suggest
  - search.highlight
  - content.tabs.link
  - navigation.indexes
  - content.tooltips
  - navigation.path
  - content.code.annotate
  - content.code.copy
  - content.code.select
  - navigation.tabs
  icon:
    repo: fontawesome/brands/github-alt
  logo: img/icon-white.svg

    // satisfy the same operands and results constraint. The keys of this map
    // are the values from `operand_states_` and `result_state_`.
    std::unordered_map<int, RequantizeState> rescale_states_;

    // Maps of indexes to the propagation state vector from the ops operands,
    // results and arguments.
    llvm::DenseMap<OpValue, int> operand_states_;
    llvm::DenseMap<OpValue, int> result_states_;
  };

  func::FuncOp func_;

// AddPod, UpdatePod, or RemovePod.
type basicManager struct {
	// Protects all internal maps.
	lock sync.RWMutex

	// Regular pods indexed by UID.
	podByUID map[kubetypes.ResolvedPodUID]*v1.Pod
	// Mirror pods indexed by UID.
	mirrorPodByUID map[kubetypes.MirrorPodUID]*v1.Pod

	// Pods indexed by full name for easy access.
	podByFullName       map[string]*v1.Pod
	mirrorPodByFullName map[string]*v1.Pod

    ShapedType input_type, ShapedType output_type) {
  ArrayRef<int64_t> in_shape = input_type.getShape();
  ArrayRef<int64_t> out_shape = output_type.getShape();

  // Get the indexes of the non-identity dimensions and the identity dimensions
  // in the input shape.
  SmallVector<int32_t> input_nonidentity_dims_index_array;
  SmallVector<int32_t> input_identity_dims_index_array;