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());

  %0 = "tfr.cast"(%arg0) : (tensor<f32>) -> !tfr.tensor
  %1 = "tfr.cast"(%arg1) : (tensor<f32>) -> !tfr.tensor
  %2 = "tfr.cast"(%arg2) : (tensor<f32>) -> !tfr.tensor
  %3 = "tfr.build_list"(%0, %1, %2) : (!tfr.tensor, !tfr.tensor, !tfr.tensor) -> !tfr.tensor_list
  %concat = tfr.call @tf__risc_concat(%3) : (!tfr.tensor_list) -> !tfr.tensor
  %4 = "tfr.cast"(%concat) : (!tfr.tensor) -> tensor<3xf32>

// CHECK: %[[cast:.*]] = "tf.Cast"(%[[cst]]) <{Truncate = false}> : (tensor<2x3x3x2xbf16>) -> tensor<2x3x3x2xf32>
// CHECK: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cast]])
// CHECK: %[[identity:.*]] = "tf.IdentityN"(%[[conv]]) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32>
// CHECK: return %[[identity]] : tensor<1x3x2x2xf32>

        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"])

  // CHECK-DAG: %[[C255:.*]] = "tf.Const"() <{value = dense<2.550000e+02> : tensor<f32>}>
  // CHECK-DAG: %[[CAST:.*]] = "tf.Cast"(%arg0) <{Truncate = false}>
  // CHECK-DAG: %[[SHIFT:.*]] = "tf.AddV2"(%[[CAST]], %[[HALF_RANGE]])
  // CHECK-DAG: %[[DRANGE:.*]] = "tf.Sub"(%arg2, %arg1)
  // CHECK-DAG: %[[SCALE:.*]] = "tf.Div"(%[[DRANGE]], %[[C255:.*]])

 StridedSlice 1
 Transpose 3
cluster 6 size 11
 Cast 1
 Const 5
 GatherV2 1
 Shape 1
 StridedSlice 1
 Transpose 1
 ZerosLike 1
cluster 7 size 33
 All 2
 Cast 1
 Const 17
 Equal 2
 ExpandDims 2
 GatherV2 1
 Identity 1
 ReverseSequence 1
 Shape 2
 StridedSlice 2
 Transpose 2
cluster 8 size 11
 Cast 1
 Const 4
 Floor 1
 Identity 1
 Mul 2
 Pow 1

        return taskType.cast(this);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public T args(Iterable<?> args) {
        execSpec.args(args);
        return taskType.cast(this);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public T setArgs(List<String> arguments) {
        execSpec.setArgs(arguments);
        return taskType.cast(this);
    }

        }
        return type.cast(this);
    }

    public T notEmpty() {
        notNull();
        if (value.length() == 0) {
            throw failure(String.format("%s cannot be empty.", name));
        }
        return type.cast(this);
    }

    public T validInFileName() {
        if (value == null || value.length() == 0) {
            return type.cast(this);
        }

  func.return %0 : tensor<1x2x3xf32>

// CHECK-NEXT: %[[AXIS:.*]] = arith.constant 0 : i32
// CHECK-NEXT: %[[CAST:.*]] = "tfr.cast"(%arg0) : (tensor<2x3xf32>) -> !tfr.tensor
// CHECK-NEXT: %[[ED:.*]] = tfr.call @tf__expand_dims(%[[CAST]], %[[AXIS]]) : (!tfr.tensor, i32) -> !tfr.tensor
// CHECK-NEXT: %[[BACK:.*]] = "tfr.cast"(%[[ED]]) : (!tfr.tensor) -> tensor<1x2x3xf32>
// CHECK-NEXT: return %[[BACK]] : tensor<1x2x3xf32>
}

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: