* See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.gradle.internal.service;

import org.gradle.api.Action;
import org.gradle.internal.Cast;
import org.gradle.internal.Factory;
import org.gradle.internal.concurrent.CompositeStoppable;
import org.gradle.internal.concurrent.Stoppable;

import javax.annotation.Nullable;
import java.io.Closeable;

      // Pull this from the original operands to the original while op.
      auto arg = llvm::cast<BlockArgument>(operand);
      f_operands.push_back(loop_operands[arg.getArgNumber()]);
      continue;
    }
    auto src = operand.getDefiningOp();
    auto res = llvm::cast<OpResult>(operand);
    if (src == non_tpu_caller) {
      f_operands.push_back(non_tpu_res[res.getResultNumber()]);

template<typename To>
inline To ImplicitCast_(To x) { return x; }

// When you upcast (that is, cast a pointer from type Foo to type
// SuperclassOfFoo), it's fine to use ImplicitCast_<>, since upcasts
// always succeed.  When you downcast (that is, cast a pointer from
// type Foo to type SubclassOfFoo), static_cast<> isn't safe, because

      Iterator<? extends T> iterator) {
    checkNotNull(iterator);
    if (iterator instanceof UnmodifiableIterator) {
      @SuppressWarnings("unchecked") // Since it's unmodifiable, the covariant cast is safe
      UnmodifiableIterator<T> result = (UnmodifiableIterator<T>) iterator;
      return result;
    }
    return new UnmodifiableIterator<T>() {
      @Override
      public boolean hasNext() {

      Iterator<? extends T> iterator) {
    checkNotNull(iterator);
    if (iterator instanceof UnmodifiableIterator) {
      @SuppressWarnings("unchecked") // Since it's unmodifiable, the covariant cast is safe
      UnmodifiableIterator<T> result = (UnmodifiableIterator<T>) iterator;
      return result;
    }
    return new UnmodifiableIterator<T>() {
      @Override
      public boolean hasNext() {

	svc, exists := proxier.svcPortMap[*svcPortName]

	if exists {
		svcInfo, ok := svc.(*serviceInfo)

		if !ok {
			klog.ErrorS(nil, "Failed to cast serviceInfo", "servicePortName", svcPortName)
			return
		}

		if svcInfo.winProxyOptimization && redundantCleanup {
			// This is a second cleanup call.

  // CHECK-LABEL: add_v2_uint32
  // CHECK:  %[[CAST:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
  // CHECK:  %[[CAST1:.*]] = "tf.Cast"(%arg1) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
  // CHECK:  %[[ADD:.*]] = "tf.AddV2"(%[[CAST]], %[[CAST1]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
  // CHECK:  %[[CAST2:.*]] = "tf.Cast"(%[[ADD]]) <{Truncate = false}> : (tensor<i32>) -> tensor<ui32>

        dtypes.string, shape=(None,), name='input_vocabs'
    )

    # Introduce a matmul op that takes the lookup values to observe the
    # effects of quantization.
    lookup_vals = math_ops.cast(
        table.lookup(input_vocabs_placeholder), dtypes.float32
    )
    # shape: (2, ?)
    matmul_input = array_ops_stack.stack([lookup_vals, lookup_vals])

    # Create a dummy weight matrix filled with ones.

  Output a = ops::Placeholder(root.WithOpName("test/a"), DT_INT64);
  Output b = ops::Placeholder(root.WithOpName("test/b"), DT_INT64);

  Output cast_a = ops::Cast(root.WithOpName("test/cast_a"), a, DT_INT32);
  Output cast_b = ops::Cast(root.WithOpName("test/cast_b"), b, DT_INT32);

  Output tensor_list_reserve = ops::TensorListReserve(
      root.WithOpName("test/tensor_list_reserve"), cast_a, cast_b, DT_FLOAT);

import org.gradle.api.provider.SupportsConvention;
import org.gradle.api.reflect.InjectionPointQualifier;
import org.gradle.api.tasks.Nested;
import org.gradle.cache.internal.CrossBuildInMemoryCache;
import org.gradle.internal.Cast;
import org.gradle.internal.extensibility.NoConventionMapping;
import org.gradle.internal.instantiation.ClassGenerationException;
import org.gradle.internal.instantiation.InjectAnnotationHandler;