// zero the data they are supposed to and clobber no adjacent values.

// run as `go run zeroGen.go`.  A file called zero.go
// will be written into the parent directory containing the tests.

var sizes = [...]int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 16, 17, 23, 24, 25, 31, 32, 33, 63, 64, 65, 1023, 1024, 1025}
var usizes = [...]int{8, 16, 24, 32, 64, 256}

func main() {
	w := new(bytes.Buffer)

 public:
  Rematerializer() = default;
  virtual ~Rematerializer() = default;

  // The type used for memory sizes (in bytes) and differences thereof.
  using SizeT = int64_t;

  // The memory profile: The i-th element gives the amount of memory
  // that is needed when performing the i-th operation. This is the
  // sum of the sizes of
  //
  // (1) input tensors of that operation,
  // (2) output tensors of that operation,

			args: args{v: reflect.ValueOf([]example.Pod{}), maxCapacity: 10, sizes: []int{1, 12}},
			cap:  10,
		},
		{
			name: "takes max",
			args: args{v: reflect.ValueOf([]example.Pod{}), maxCapacity: 10, sizes: []int{8, 4}},
			cap:  8,
		},
		{
			name: "with existing capacity above max",
			args: args{initialCapacity: 12, maxCapacity: 10, sizes: []int{8, 4}},
			cap:  12,
		},
		{

	buildSlicing8TablesOnce()
	crc = ^crc
	// Table comparison is somewhat expensive, so avoid it for small sizes
	for len(p) >= 64 {
		var helperTable *[8]Table
		if *tab == slicing8TableECMA[0] {
			helperTable = slicing8TableECMA
		} else if *tab == slicing8TableISO[0] {
			helperTable = slicing8TableISO
			// For smaller sizes creating extended table takes too much time
		} else if len(p) >= 2048 {

        * input-arg-shapes: A string representation of input argument shapes for
          'main' entry-point, separating tensors with ':', dimension with ',', and
          using '?' for unknown sizes. For example, 'input-arg-shapes=1,2::1,?'
          expresses argument shapes [1,2], [] and [1,?].
        )pbdoc",
      py::arg("input_path"),
      py::arg("exported_model_signatures") =

			sizeS.failedSize += oi.Size
			sizeS.failedCount++
		case replication.Completed, replication.CompletedLegacy:
			tgtSizeS.replicatedSize += oi.Size
			tgtSizeS.replicatedCount++
			sizeS.replicatedSize += oi.Size
			sizeS.replicatedCount++
		}
		sizeS.replTargetStats[arn] = tgtSizeS
	}

	if oi.ReplicationStatus == replication.Replica {
		sizeS.replicaSize += oi.Size
		sizeS.replicaCount++
	}

  }

  // These ops are cheap regardless of their input sizes.
  //
  // TODO(chky): Find a more scalable way to figure out cheap ops.
  if (llvm::isa<mlir::TF::ShapeOp, mlir::TF::StridedSliceOp,
                mlir::TF::ReshapeOp, mlir::TF::ExpandDimsOp>(op)) {
    cost_map_[op] = kDefaultCheapCost;
    return;
  }

  // For other ops, use the sum of input sizes as its cost.
  int64_t cost = kDefaultCheapCost;

func countOps(t *testing.T, algo func(Interface), name string) {
	sizes := countOpsSizes
	if testing.Short() {
		sizes = sizes[:5]
	}
	if !testing.Verbose() {
		t.Skip("Counting skipped as non-verbose mode.")
	}
	for _, n := range sizes {
		td := testingData{
			desc:    name,
			t:       t,
			data:    make([]int, n),
			maxswap: 1<<31 - 1,
		}

    // Split out all the specified sizes.
    Set<Feature<?>> sizesToTest = Helpers.<Feature<?>>copyToSet(CollectionSize.values());
    sizesToTest.retainAll(features);
    features.removeAll(sizesToTest);

    FeatureUtil.addImpliedFeatures(sizesToTest);
    sizesToTest.retainAll(
        Arrays.asList(CollectionSize.ZERO, CollectionSize.ONE, CollectionSize.SEVERAL));

    logger.fine("   Sizes: " + formatFeatureSet(sizesToTest));

			return sizeSummary{}, errSkipFile
		}

		sizeS := sizeSummary{}
		for _, tier := range globalTierConfigMgr.ListTiers() {
			if sizeS.tiers == nil {
				sizeS.tiers = make(map[string]tierStats)
			}
			sizeS.tiers[tier.Name] = tierStats{}
		}
		if sizeS.tiers != nil {
			sizeS.tiers[storageclass.STANDARD] = tierStats{}
			sizeS.tiers[storageclass.RRS] = tierStats{}
		}