#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h"

namespace mlir {
namespace quant {

static bool EmptyParams(QuantParams p) { return p == quant::QuantizedType(); }

// The state for each op result during the quantization parameters propagation.
struct QuantState {
  // Quantization parameters propagated to an op result.

        return failure();
      }
      break;
    }
    case ScaleConstraintType::OutputInputSameScale: {
      auto params = GetQuantParamsForSameScaleConstraint(op);
      if (EmptyParams(params)) {
        *changed |= false;
        break;
      }
      // propagate this params to all the quantizable ports.
      if (failed(PropagateQuantParams(op, params, new_items, changed))) {

*/
package multipart

import (
	"bufio"
	"bytes"
	"fmt"
	"internal/godebug"
	"io"
	"mime"
	"mime/quotedprintable"
	"net/textproto"
	"path/filepath"
	"strconv"
	"strings"
)

var emptyParams = make(map[string]string)

// This constant needs to be at least 76 for this package to work correctly.
// This is because \r\n--separator_of_len_70- would fill the buffer and it