regSize int64
	sp      *Value
	typs    *Types

	firstOp    Op          // for 64-bit integers on 32-bit machines, first word in memory
	secondOp   Op          // for 64-bit integers on 32-bit machines, second word in memory
	firstType  *types.Type // first half type, for Int64
	secondType *types.Type // second half type, for Int64

	// must not contain duplicates. At least one element is required.
	// The indexes are represented as intervals separated by commas.
	// The intervals can be a decimal integer or a pair of decimal integers separated by a hyphen.
	// The number are listed in represented by the first and last element of the series,
	// separated by a hyphen.
	// For example, if the completed indexes are 1, 3, 4, 5 and 7, they are

	tests := []string{
		// "MUST take the form X.Y.Z"
		"1",
		"1.2",
		"1.2.3.4",
		".2.3",
		"1..3",
		"1.2.",
		"",
		"..",
		// "where X, Y, and Z are non-negative integers"
		"-1.2.3",
		"1.-2.3",
		"1.2.-3",
		"1a.2.3",
		"1.2a.3",
		"1.2.3a",
		"a1.2.3",
		"a.b.c",
		"1 .2.3",
		"1. 2.3",
		// "and MUST NOT contain leading zeroes."
		"01.2.3",

   * reached, but not the other, the shorter iterable is considered to be less than the longer one.
   * For example, a lexicographical natural ordering over integers considers {@code [] < [1] < [1,
   * 1] < [1, 2] < [2]}.
   *
   * <p>Note that {@code Collections.reverseOrder(lexicographical(comparator))} is not equivalent to

  template <typename DataType>
  std::unique_ptr<ParallelTensor> ScalarsFromSequence(
      absl::Span<const DataType> values, TFE_Context* context,
      TF_Status* status) const;

  // A parallel tensor with scalar integers numbering component devices.
  std::unique_ptr<ParallelTensor> DeviceIDs(TFE_Context* context,
                                            TF_Status* status) const;

  // The number of devices operations run on.

 *
 * @author mike nonemacher
 */

public class PopulatedCachesTest extends TestCase {
  // we use integers as keys; make sure the range covers some values that ARE cached by
  // Integer.valueOf(int), and some that are not cached. (127 is the highest cached value.)
  static final int WARMUP_MIN = 120;
  static final int WARMUP_MAX = 135;

    const mlir::Type raw_elem_type = ConvertElementType(tensor.type, builder);
    if (!mlir::isa<mlir::IntegerType>(raw_elem_type)) {
      return absl::InvalidArgumentError(
          "Quantized tensors must be stored as integers");
    }
    storage_type = mlir::cast<mlir::IntegerType>(raw_elem_type);
  }

  // TFlite uses narrow-range [u]int8 for constant buffers of quantized weights.

            is ClassId -> printer.append(value.asString())
            is DeprecationInfo -> renderDeprecationInfo(value, printer)
            is Visibility -> printer.append(value::class.java.simpleName)
            // Unsigned integers
            is UByte -> printer.append(value.toString())
            is UShort -> printer.append(value.toString())
            is UInt -> printer.append(value.toString())

	"errors"
	"io"
	"math"
	"reflect"
	"slices"
	"sync"
)

var errBufferTooSmall = errors.New("buffer too small")

// A ByteOrder specifies how to convert byte slices into
// 16-, 32-, or 64-bit unsigned integers.
//
// It is implemented by [LittleEndian], [BigEndian], and [NativeEndian].
type ByteOrder interface {
	Uint16([]byte) uint16
	Uint32([]byte) uint32
	Uint64([]byte) uint64
	PutUint16([]byte, uint16)

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This file implements unsigned multi-precision integers (natural
// numbers). They are the building blocks for the implementation
// of signed integers, rationals, and floating-point numbers.
//
// Caution: This implementation relies on the function "alias"
//          which assumes that (nat) slice capacities are never