if len(list) < max {
				list = append(list, address)
			} else if len(list) == max {
				more = true
			}
			count++
		}
	}
	return listWithMoreString(list, more, count, max)
}

func listWithMoreString(list []string, more bool, count, max int) string {
	ret := strings.Join(list, ",")
	if more {
		return fmt.Sprintf("%s + %d more...", ret, count-max)
	}
	if ret == "" {
		ret = "<unset>"
	}

    if (index_and_value.index() % 2 == 0) {
      mins.push_back(value.convertToFloat());
    } else {
      maxs.push_back(value.convertToFloat());
    }
  }

  return tflite::CreateQuantizationParameters(
      builder_, builder_.CreateVector<float>(mins),
      builder_.CreateVector<float>(maxs), /*scale=*/0, /*zero_point=*/0,
      tflite::QuantizationDetails_NONE, /*details=*/0,

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// CHECK-DAG: %[[ZERO:.+]] = arith.constant dense<0> : tensor<1xi64>
// CHECK-DAG: %[[MAX1:.+]] = arith.constant dense<2> : tensor<1xi64>
// CHECK-DAG: %[[MAX2:.+]] = arith.constant dense<3> : tensor<1xi64>
// CHECK: %[[BITCAST1:.+]] = "tfl.bitcast"(%[[ARG1]]) : (tensor<i64>) -> tensor<1xi64>
// CHECK: %[[MIN1:.+]] = "tfl.minimum"(%[[BITCAST1]], %[[MAX1]]) : (tensor<1xi64>, tensor<1xi64>) -> tensor<1xi64>

     * message: Size of {item} must be between {min} and {max}.
     * </pre>
     * @param property The property name for the message. (NotNull)
     * @param min The parameter min for message. (NotNull)
     * @param max The parameter max for message. (NotNull)
     * @return this. (NotNull)
     */
    public FessMessages addConstraintsSizeMessage(String property, String min, String max) {
        assertPropertyNotNull(property);

			(RotateLeft8 <typ.UInt8>
				(Mul8 <typ.UInt8>
					(Const8 <typ.UInt8> [int8(udivisible8(c).m)])
					x)
				(Const8 <typ.UInt8> [int8(8-udivisible8(c).k)])
				)
			(Const8 <typ.UInt8> [int8(udivisible8(c).max)])
		)

(Eq16 x (Mul16 (Const16 [c])
  (Trunc64to16
    (Rsh64Ux64
      mul:(Mul64
        (Const64 [m])
        (ZeroExt16to64 x))
      (Const64 [s])))
	)
)

    SameOperandsAndResultsScale]> {
  let summary = "Max operator";
  let description = [{
    Element-wise max operation.
  }];

  let arguments = (
    ins TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$lhs,
    TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$rhs
  );

  let results = (outs
    TFL_TensorOf<[F32, TFL_Int32Or64, QI8, QUI8, QI16]>:$max
  );

  let hasFolder = 1;

			},
			errors: map[string]string{
				// return an error for min/max on empty list
				"self.emptyInts.min() == 1":      "min called on empty list",
				"self.emptyInts.max() == 3":      "max called on empty list",
				"self.emptyDoubles.min() == 1.0": "min called on empty list",
				"self.emptyDoubles.max() == 3.0": "max called on empty list",
				"self.emptyStrings.min() == 'a'": "min called on empty list",

  if (min && !IsOfRankedFloatTensorType(min, 0))
    return op.emitOpError("requires min to be a 0d float tensor");

  auto max = GetRankedTensorTypeForOperand(op.getMax());
  if (max && !IsOfRankedFloatTensorType(max, 0))
    return op.emitOpError("requires max to be a 0d float tensor");

  int64_t num_bits = op.getNumBits();
  if (num_bits < 2 || num_bits > 16) {
    return op.emitOpError(

t.some(Ze.inProgress)}),h=!1,u="";if(this.masonry&&this.length){var c=0;h=r.reduce(function(i,t,n){return i[n]=t.map(function(t,e){return 0===n?0:j(i[n-1][e])+(c-j(r[n-1][e]&&r[n-1][e].offsetHeight))}),c=t.reduce(function(t,e){return Math.max(t,e.offsetHeight)},0),i},[]),s=r,u=Math.max.apply(Math,s.reduce(function(i,t){return t.forEach(function(t,e){return i[e]=(i[e]||0)+t.offsetHeight}),i},[]))+(e=this.$el,i=this.margin,n=Ot(e),j((o=n.filter(function(t){return Oe(t,i)})[0])?Ve(o,"marginTop"):Ve(n[0],"paddin...