assertFalse(
        "Lists of different sizes should not be equal.",
        getList().equals(new ArrayList<E>(fewerElements)));
  }

  public void testEquals_longerList() {
    Collection<E> moreElements = getSampleElements(getNumElements() + 1);
    assertFalse(
        "Lists of different sizes should not be equal.",
        getList().equals(new ArrayList<E>(moreElements)));
  }

    assertFalse(
        "Sets of different sizes should not be equal.",
        getSet().equals(MinimalSet.from(fewerElements)));
  }

  public void testEquals_largerSet() {
    Collection<E> moreElements = getSampleElements(getNumElements() + 1);
    assertFalse(
        "Sets of different sizes should not be equal.",
        getSet().equals(MinimalSet.from(moreElements)));
  }

	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;

// Copyright 2018 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Non-Go-constant but constant values aren't ok for array sizes.

package p

import "unsafe"

type T [uintptr(unsafe.Pointer(nil))]int // ERROR "non-constant array bound|array bound is not constant|must be constant"

func f() {

 * dependencies to projects in lower layers. The sizes of different layers are created so that
 * the first and last layers are the smallest and the layers in the middle are the largest.
 *
 * For example when numberOfProjects = 150, 10 layers will be created with sizes of
 * [1, 2, 6, 16, 50, 50, 16, 6, 2, 1]
 *

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,
		}

TEXT runtime·memmove(SB), NOSPLIT, $0-24

	MOVQ	to+0(FP), DI
	MOVQ	from+8(FP), SI
	MOVQ	n+16(FP), BX

	// REP instructions have a high startup cost, so we handle small sizes
	// with some straightline code. The REP MOVSQ instruction is really fast
	// for large sizes. The cutover is approximately 1K.
tail:
	TESTQ	BX, BX
	JEQ	move_0
	CMPQ	BX, $2
	JBE	move_1or2
	CMPQ	BX, $4
	JBE	move_3or4
	CMPQ	BX, $8
	JB	move_5through7