toolchain.setType("TYPE");
        toolchain.setProvides(props);
        PersistedToolchains userResult = new PersistedToolchains();
        userResult.setToolchains(Collections.singletonList(toolchain));

        props = new Properties();
        props.put("key", "global_value");
        toolchain = new ToolchainModel();
        toolchain.setType("TYPE");
        toolchain.setProvides(props);

  return absl::OkStatus();
}

Status MlirAbstractOp::AddRef(Type type, Type* output_type) {
  Type elt_type = getElementTypeOrSelf(type);
  if (mlir::isa<mlir::TF::TensorFlowRefType>(elt_type)) {
    return InvalidArgument("Requested reference to a reference type");
  }
  elt_type = TensorFlowRefType::get(elt_type);
  if (RankedTensorType tensor_type = mlir::dyn_cast<RankedTensorType>(type)) {

	}
	ptr = ir.NewUnaryExpr(base.Pos, ir.OSPTR, n)
	if n.Type().IsString() {
		ptr.SetType(types.Types[types.TUINT8].PtrTo())
	} else {
		ptr.SetType(n.Type().Elem().PtrTo())
	}
	ptr.SetTypecheck(1)
	length = ir.NewUnaryExpr(base.Pos, ir.OLEN, n)
	length.SetType(types.Types[types.TINT])
	length.SetTypecheck(1)
	return ptr, length
}

			n.SetType(nil)
			return n
		}
		if !n.Y.Type().IsBoolean() {
			base.Errorf("invalid operation: %v (operator %v not defined on %s)", n, n.Op(), typekind(n.Y.Type()))
			n.SetType(nil)
			return n
		}
		l, r, t := tcArith(n, n.Op(), n.X, n.Y)
		n.X, n.Y = l, r
		n.SetType(t)
		return n

	// shift operators
	case ir.OLSH, ir.ORSH:

  auto& test_params = GetParam();
  DataType dtype = std::get<0>(test_params);
  TensorShape shape(std::get<1>(test_params));

  SavedVariable saved_variable;
  saved_variable.set_dtype(dtype);
  shape.AsProto(saved_variable.mutable_shape());

  std::unique_ptr<Variable> var;
  TF_EXPECT_OK(internal::LoadSavedVariable(context(), saved_variable, &var));
  EXPECT_EQ(var->dtype(), dtype);

	}

	for _, elfsym := range syms {
		if elf.ST_TYPE(elfsym.Info) == elf.STT_NOTYPE || elf.ST_TYPE(elfsym.Info) == elf.STT_SECTION {
			continue
		}

		// Symbols whose names start with "type:" are compiler generated,
		// so make functions with that prefix internal.
		ver := 0
		symname := elfsym.Name // (unmangled) symbol name
		if elf.ST_TYPE(elfsym.Info) == elf.STT_FUNC && strings.HasPrefix(elfsym.Name, "type:") {

    for (auto [call_arg, body_arg] :
         llvm::zip(call.getOperation()->getOperands(),
                   f.getBody().front().getArguments())) {
      if (call_arg.getType() != body_arg.getType()) {
        body_arg.setType(call_arg.getType());
        changed = true;
      }
    }
    if (changed) {
      rewriter.finalizeOpModification(f);
      return success();
    } else {

     */
    public void testSet() throws Exception {
        final Method m1 = SetType.class.getMethod("setOfString");
        final Type t1 = m1.getGenericReturnType();
        assertThat(GenericsUtil.isTypeOf(t1, Set.class), is(true));
        assertThat(GenericsUtil.getElementTypeOfSet(t1), is(sameClass(String.class)));

        final Method m2 = SetType.class.getMethod("setOfClass");
        final Type t2 = m2.getGenericReturnType();

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

package org.gradle.smoketests

import groovy.transform.SelfType

@SelfType(BaseDeprecations)
trait WithKotlinDeprecations {

 */

package org.gradle.integtests.fixtures.configurationcache.isolated

import groovy.transform.SelfType
import org.gradle.integtests.fixtures.AbstractIntegrationSpec

import static org.gradle.initialization.StartParameterBuildOptions.IsolatedProjectsOption.PROPERTY_NAME

@SelfType(AbstractIntegrationSpec)
trait IsolatedProjectsExecuterFixture {