/**
     * Looks for the extension of a given type (useful to avoid casting). If none found null is returned.
     *
     * @param type extension type
     * @return extension or null
     */
    @Nullable
    <T> T findByType(Class<T> type);

    /**
     * Looks for the extension of a given type (useful to avoid casting). If none found null is returned.
     *
     * @param type extension type

 * limitations under the License.
 */

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)

package org.gradle.internal

import org.gradle.api.Action
import spock.lang.Specification

import static org.gradle.internal.Transformers.*

class TransformersTest extends Specification {

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

        when:
        cast(Integer).transform(arg)

        then:
        def e = thrown(ClassCastException)

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include <vector>

#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Block.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h"

#include "llvm/Support/Casting.h"
#include "mlir/IR/OpDefinition.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"

#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_EINSUM_H_

#include <cstdint>
#include <initializer_list>

#include "llvm/ADT/ArrayRef.h"
#include "llvm/Support/Casting.h"
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/MLIRContext.h"  // from @llvm-project

// opposed to being extracted into a separate tfl.pad).
StringAttr GetAvgPoolOpPadAttr(Builder& builder, mhlo::CompositeOp op);

// Get dense attr for a matrix that corrects the over counting of divisors when
// casting an average pool with ceil mode on in terms of average pool with it
// off.
DenseFPElementsAttr GetCorrectionMatrix(Builder& builder, mhlo::CompositeOp op);

}  // namespace odml
}  // namespace mlir

==============================================================================*/

#include <memory>
#include <utility>

#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/raw_ostream.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Attributes.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project

limitations under the License.
==============================================================================*/

#include <memory>
#include <vector>

#include "llvm/Support/Casting.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/Builders.h"  // from @llvm-project
#include "mlir/IR/BuiltinTypes.h"  // from @llvm-project

#define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_ANALYSIS_RESOURCE_DATAFLOW_H_

#include <algorithm>
#include <vector>

#include "llvm/ADT/BitVector.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Debug.h"
#include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h"  // from @llvm-project
#include "mlir/Analysis/DataFlow/SparseAnalysis.h"  // from @llvm-project