// Erasure distribution seems to have lesser
				// number of items than number of online disks.
				inconsistent++
				continue
			}
			if meta.Erasure.Distribution[i] != meta.Erasure.Index {
				// Mismatch indexes with distribution order
				inconsistent++
			}
		}
	}

	erasureDistributionReliable := true
	if inconsistent > len(partsMetadata)/2 {

 */
@Beta
@ElementTypesAreNonnullByDefault
public final class BloomFilter<T extends @Nullable Object> implements Predicate<T>, Serializable {
  /**
   * A strategy to translate T instances, to {@code numHashFunctions} bit indexes.
   *
   * <p>Implementations should be collections of pure functions (i.e. stateless).
   */
  interface Strategy extends java.io.Serializable {

    /**

	{"out of range", "{{slice .SI 2 2 5}}", "", tVal, false},
	{"len(s) < indexes < cap(s)", "{{slice .SICap 6 10}}", "[0 0 0 0]", tVal, true},
	{"len(s) < indexes < cap(s)", "{{slice .SICap 6 10 10}}", "[0 0 0 0]", tVal, true},
	{"indexes > cap(s)", "{{slice .SICap 10 11}}", "", tVal, false},
	{"indexes > cap(s)", "{{slice .SICap 6 10 11}}", "", tVal, false},
	{"array[:]", "{{slice .AI}}", "[3 4 5]", tVal, true},

      sort(
          insertionOrder,
          new Comparator<V>() {
            @Override
            public int compare(V left, V right) {
              // The indexes are small enough for the subtraction trick to be safe.
              return indexOfEntryWithValue(left) - indexOfEntryWithValue(right);
            }

            int indexOfEntryWithValue(V value) {

  std::vector<int32_t> bl_index;  // Indexes of B0,...,Bn and L0,...,Ln
  bl_index.reserve(dnums.lhs_rhs_out.size() + dnums.lhs_out.size());
  for (auto i : dnums.lhs_rhs_out) {
    bl_index.push_back(std::get<0>(i));
  }
  for (auto i : dnums.lhs_out) {
    bl_index.push_back(std::get<0>(i));
  }
  std::vector<int32_t> r_index;  // Indexes of R0,...,Rn
  r_index.reserve(dnums.rhs_out.size());

	{"out of range", "{{slice .SI 2 2 5}}", "", tVal, false},
	{"len(s) < indexes < cap(s)", "{{slice .SICap 6 10}}", "[0 0 0 0]", tVal, true},
	{"len(s) < indexes < cap(s)", "{{slice .SICap 6 10 10}}", "[0 0 0 0]", tVal, true},
	{"indexes > cap(s)", "{{slice .SICap 10 11}}", "", tVal, false},
	{"indexes > cap(s)", "{{slice .SICap 6 10 11}}", "", tVal, false},
	{"array[:]", "{{slice .AI}}", "[3 4 5]", tVal, true},

      sort(
          insertionOrder,
          new Comparator<V>() {
            @Override
            public int compare(V left, V right) {
              // The indexes are small enough for the subtraction trick to be safe.
              return indexOfEntryWithValue(left) - indexOfEntryWithValue(right);
            }

            int indexOfEntryWithValue(V value) {

						}},
					},
				},
			},
			opts: JobValidationOptions{RequirePrefixedLabels: true},
		},
		`spec.successPolicy.rules[0].succeededCount: Invalid value: 4: must be less than or equal to 3 (the number of indexes in the specified succeededIndexes field)`: {
			job: batch.Job{
				ObjectMeta: validJobObjectMeta,
				Spec: batch.JobSpec{
					Selector:       validGeneratedSelector,

	"k8s.io/utils/ptr"
)

// maxParallelismForIndexJob is the maximum parallelism that an Indexed Job
// is allowed to have. This threshold allows to cap the length of
// .status.completedIndexes.
const maxParallelismForIndexedJob = 100000

// maxFailedIndexesForIndexedJob is the maximum number of failed indexes that
// an Indexed Job is allowed to have. This threshold allows to cap the length of

		{"with negative second index", []int{42}, 1, -1},
		{"with out-of-bounds first index", []int{42}, 2, 3},
		{"with out-of-bounds second index", []int{42}, 0, 2},
		{"with out-of-bounds both indexes", []int{42}, 2, 2},
		{"with invalid i>j", []int{42}, 1, 0},
		{"s[i:j] is valid and j > len(s)", s, 0, 4},
		{"s[i:j] is valid and i == j > len(s)", s, 3, 3},
	} {