// known (fixed).
struct SizeInfo {
  Value size;
  bool fixed;
};

// Modifies a function's signature to rewrite tensor list arguments to buffers
// and sizes.
void ModifyFunctionSignature(
    func::FuncOp func, Type size_type,
    llvm::SmallDenseMap<Value, SizeInfo>* buffer_to_size,
    llvm::function_ref<std::optional<Type>(int64_t)> arg_to_buffer_type,

        tf_op->hasTrait<mlir::OpTrait::AttrSizedResultSegments>()) {
      // The op has multiple variadic operands or results.
      // Calculate operand and result segment sizes using the OpDef.
      tensorflow::NameRangeMap input_ranges, output_ranges;
      // This will fail only if the OpDef is syntactically invalid.
      if (!NameRangesForNode(node_def, *op_def, &input_ranges, &output_ranges)

	return cidrs, dualstack, nil
}

// setNodeCIDRMaskSizes returns the IPv4 and IPv6 node cidr mask sizes to the value provided
// for --node-cidr-mask-size-ipv4 and --node-cidr-mask-size-ipv6 respectively. If value not provided,
// then it will return default IPv4 and IPv6 cidr mask sizes.
func setNodeCIDRMaskSizes(cfg nodeipamconfig.NodeIPAMControllerConfiguration, clusterCIDRs []*net.IPNet) ([]int, error) {

	0x0000c0, 0x000100, 0x000180, 0x000200, 0x000300,
	0x000400, 0x000600, 0x000800, 0x000c00, 0x001000,
	0x001800, 0x002000, 0x003000, 0x004000, 0x006000,
}

// The odd order in which the codegen code sizes are written.
var codegenOrder = []uint32{16, 17, 18, 0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15}

type huffmanBitWriter struct {
	// writer is the underlying writer.

//
// • Each file's uncompressed size must match its declared 64-bit uncompressed
// size in the zip file header.
//
// • If the zip contains files named "<module>@<version>/go.mod" or
// "<module>@<version>/LICENSE", their sizes in bytes may be at most
// [MaxGoMod] or [MaxLICENSE], respectively (both are 16 MiB).
//
// • Empty directories are ignored. File permissions and timestamps are also
// ignored.
//

// expected-error@-1 {{'tf_device.replicate' expects 'n' to be at least 2, got 1}}
  }
  func.return
}

// -----

// Check that a replicate replicated inputs where operand sizes do not match
// 'n' is invalid.
func.func @parser_replicate_operand_count(%arg0: tensor<*xf32>) {
  tf_device.replicate([%arg0, %arg0, %arg0] as %input0: tensor<*xf32>) {n = 2 : i32} {

  return builder.create<TF::PadV2Op>(
      loc, input.getType(), input, temp_padding,
      CreateScalarConstValue<int8_t>(builder, loc, input_zp_value));
}

}  // namespace

// If input spatial sizes are dynamic (unknown) and padding is same, add ops to
// dynamically calculate padding size and add input_zp value Pad op with the
// padding.
// Otherwise, calculates padding with known numbers, and only for non-zero

	limbs []uint
}

// preallocTarget is the size in bits of the numbers used to implement the most
// common and most performant RSA key size. It's also enough to cover some of
// the operations of key sizes up to 4096.
const preallocTarget = 2048
const preallocLimbs = (preallocTarget + _W - 1) / _W

// NewNat returns a new nat with a size of zero, just like new(Nat), but with

      if (contentType != null) {
        sink.writeUtf8("Content-Type: ")
          .writeUtf8(contentType.toString())
          .write(CRLF)
      }

      // We can't measure the body's size without the sizes of its components.
      val contentLength = body.contentLength()
      if (contentLength == -1L && countBytes) {
        byteCountBuffer!!.clear()
        return -1L
      }

      sink.write(CRLF)

	case 84:
		return b.NewValue1(pos, OpTrunc64to32, types.Types[types.TUINT32], v)
	case 42:
		return b.NewValue1(pos, OpTrunc32to16, types.Types[types.TUINT16], v)
	default:
		base.Fatalf("bad sizes %d %d\n", from, to)
		return nil
	}
}
func zeroExtend(b *Block, pos src.XPos, v *Value, from, to int64) *Value {
	switch from*10 + to {
	case 24: