m1, ok := zork[e.from]
	if !ok {
		panic("bad edge")
	}
	m2, ok := zork[e.to]
	if !ok {
		panic("bad edge")
	}
	return m1, m2
}

// The first maze in Zork. Room indexes based on original Fortran data file.
// You are in a maze of twisty little passages, all alike.
var zork = map[int]mazeRoom{
	11: {exits: [10]int{north: 11, south: 12, east: 14}}, // west to Troll Room

		sandboxes            []sandboxTemplate   // templates of sandboxes
		containers           []containerTemplate // templates of containers
		remain               []int               // template indexes of remaining sandboxes
		evictTerminatingPods bool
	}{
		{
			description: "notready sandboxes without containers for deleted pods should be garbage collected.",
			sandboxes: []sandboxTemplate{

		return setCounts[i] < setCounts[j]
	})

	return setCounts
}

// getSetIndexes returns list of indexes which provides the set size
// on each index, this function also determines the final set size
// The final set size has the affinity towards choosing smaller
// indexes (total sets)

   * they're defined above -- including logic to add and subtract 1 to map between the values stored
   * in the predecessor/successor arrays and the indexes in the elements array that they identify.
   */

//
//	b.Succs = [{c,3}, {d,1}]
//	c.Preds = [?, ?, ?, {b,0}]
//	d.Preds = [?, {b,1}, ?]
//
// These indexes allow us to edit the CFG in constant time.
// In addition, it informs phi ops in degenerate cases like:
//
//	b:
//	   if k then c else c
//	c:
//	   v = Phi(x, y)
//
// Then the indexes tell you whether x is chosen from
// the if or else branch from b.
//
//	b.Succs = [{c,0},{c,1}]

        operand_op != nullptr) {
      work_list_.push_back(operand_op);
    }
  }

  // Returns the quantization params for the bias input from the non-bias
  // operands which have their indexes in the `non_biases` vector. The returned
  // parameters are calculated by `func`.
  QuantizedType GetBiasParams(Operation* op, int bias_index,
                              ArrayRef<int> non_bias_operand_indices,

// 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,