*
     * @param outputType The type to cast the input to
     * @param object The object to be cast (must not be {@code null})
     * @param <O> The type to be cast to
     * @param <I> The type of the object to be vast
     * @return The input object, cast to the output type
     */
    public static <O, I> O cast(Class<O> outputType, I object) {
        try {

    return false;

  if (mlir::cast<IntegerAttr>(elements.front()).getInt() != 1 ||
      mlir::cast<IntegerAttr>(elements.back()).getInt() != 1)
    return false;

  Builder b(op->getContext());
  *x = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[1]).getInt());
  *y = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[2]).getInt());
  *z = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[3]).getInt());

        then:
        property.get() == cast(["first", "second", "third", "forth", "fifth"])

        when:
        collection.remove("third")

        then:
        property.get() == cast(["first", "second", "forth", "fifth"])
        collection.size() == 4

        when:
        collection.add("third")

        then:
        property.get() == cast(["first", "second", "forth", "fifth", "third"])

      filter_i8_value_attr = mlir::cast<DenseIntElementsAttr>(
          cast<stablehlo::ConstantOp>(filter_op->getOperand(0).getDefiningOp())
              .getValue());
    }

    // Create Uniform Quantized constant for the filter.
    auto subtract_op =
        cast<stablehlo::SubtractOp>(*op.getResult().user_begin());
    auto other_conv_op = cast<stablehlo::ConvolutionOp>(

package org.gradle.internal

import spock.lang.Specification

import static Cast.cast

class CastTest extends Specification {

    def "casting"() {
        given:
        def arg = "1"

        when:
        cast(Integer, arg)

        then:
        def e = thrown(ClassCastException)
        e.message == "Failed to cast object $arg of type ${arg.class.name} to target type ${Integer.name}"

        when:

  "$0.isa<DenseElementsAttr>() && "
  "$0.cast<DenseElementsAttr>().getNumElements() == 1 && "
  "(($0.cast<DenseElementsAttr>().getValues<APFloat>()[0].isLargest() && "
  "$0.cast<DenseElementsAttr>().getValues<APFloat>()[0].isNegative()) || "
  "$0.cast<DenseElementsAttr>().getValues<APFloat>()[0].isNegInfinity())">>;

def L2NormValidReduceIndex : Constraint<CPred<
  "L2NormalizeReduceAxis($0, $1.cast<DenseElementsAttr>())">>;

    if (!mlir::cast<ShapedType>(lhs.getType()).hasStaticShape() ||
        !mlir::cast<ShapedType>(rhs.getType()).hasStaticShape() ||
        !mlir::cast<ShapedType>(cond.getType()).hasStaticShape()) {
      return rewriteOpWithDynamicInput(op, rewriter);
    }

    auto lhs_shape = mlir::cast<ShapedType>(lhs.getType()).getShape();
    auto rhs_shape = mlir::cast<ShapedType>(rhs.getType()).getShape();

            MapProperty<Object, Object> asMapProperty = Cast.uncheckedNonnullCast(target);
            DefaultProvider<Map<Object, Object>> convention = new DefaultProvider<>(() -> Cast.uncheckedNonnullCast(mapping.getValue(_convention, _source)));
            asMapProperty.convention(convention);
        } else if (target instanceof HasMultipleValues) {
            HasMultipleValues<Object> asCollectionProperty = Cast.uncheckedNonnullCast(target);

            return Cast.uncheckedCast(new NoDescriptionValuesJustReturningParser());
        } else if (targetType.isAssignableFrom(JavaVersion.class)) {
            NotationConverter<CharSequence, JavaVersion> converter = new JavaVersionFromCharSequenceNotationConverter();
            return Cast.uncheckedCast(new NotationConverterToNotationParserAdapter<>(converter));

// Attribute Constraint that checks if the attribute value is zero.
def ZeroIntAttr
  : AttrConstraint<CPred<"$_self.cast<::mlir::IntegerAttr>().getInt() == 0">>;

// Checks if the value has rank at most 'n'.
class HasRankAtLeast<int n> : Constraint<
    CPred<"$0.getType().cast<ShapedType>().hasRank() && "
          "$0.getType().cast<ShapedType>().getRank() >= " # n>>;

// Checks value is not produced by a TFL_Quant or