import p3.foo

@MyComposable
fun Greeting(): String {
    return "Hi $foo!"
}

// FILE: p3/foo.kt
package p3

import org.jetbrains.kotlin.fir.plugin.MyComposable

private var foo_ = 0

fun setFoo(newFoo: Int) {
    foo_ = newFoo
}

val foo: Int

        mlir::isa<quant::QuantizedType>(element_type)) {
      return;
    }
    op_builder->setInsertionPoint(const_op);
    Value scalar = op_builder->create<mhlo::ConstantOp>(
        const_op->getLoc(),
        DenseElementsAttr::get(
            RankedTensorType::get(/*shape=*/{}, element_type),
            splat_elements_attr.getSplatValue<Attribute>()));
    auto broadcast_dims = DenseIntElementsAttr::get(

            mlir::quant::QuantizedType::castToExpressedType(input_type);
        builder->setInsertionPoint(op);
        auto dequantize_op = builder->create<TFL::DequantizeOp>(
            op->getLoc(), dequantized_input_type, input.get());
        dequantized_inputs.push_back(dequantize_op);
      } else {
        dequantized_inputs.push_back(input.get());
      }
    }

    // Result types.

    BlockArgument param = callee.getArgument(i);
    if (mlir::isa<TF::ResourceType>(getElementTypeOrSelf(param.getType()))) {
      removed_params.set(i);
      callee.getBody().addArgument(param.getType(), param.getLoc());
      param.replaceAllUsesWith(callee.getArguments().back());
      removed_params.push_back(false);
    }
  }
  // Remove old resource-type parameters.
  callee.getBody().front().eraseArguments(removed_params);

}

static Value CreateTranspose(OpBuilder& builder, Value source,
                             ArrayRef<int64_t> perm) {
  return builder.create<stablehlo::TransposeOp>(source.getLoc(), source, perm)
      ->getResult(0);
}

// Transform pad(transpose(x)) to transpose(pad(x))
struct TransposeCommuteWithPad : public OpRewritePattern<stablehlo::PadOp> {

	y := 105
	g := Gcd(x, y)
	fmt.Println("The gcd of", x, "and", y, "is", g)

	// Manipulate the Foo global variable

	// Output its current value
	fmt.Println("Foo =", GetFoo())

	// Change its value
	SetFoo(3.1415926)

	// See if the change took effect
	fmt.Println("Foo =", GetFoo())
}
-- main.swig --
%module main

%inline %{
extern int    gcd(int x, int y);
extern double Foo;
%}
-- main_test.go --

    auto name_from_loc = mlir::GetNameFromLoc(op->getLoc());
    if (!name_from_loc.empty()) return name_from_loc;
    // If the location is none of the expected types, then simply use name
    // generated using the op type.
    return std::string(op->getName().getStringRef());
  }
  auto val = op_or_val.dyn_cast<mlir::Value>();
  auto name_from_loc = mlir::GetNameFromLoc(val.getLoc());
  if (!name_from_loc.empty()) return name_from_loc;

 */

package org.gradle.workers.fixtures;

import org.gradle.api.Named;

public class TestManagedTypes {
    public interface ManagedThing {
        String getFoo();
        void setFoo(String foo);
    }

    public interface ImmutableManagedThing extends Named {
    }

  auto collectOps = [this](Operation *op) {
    const auto &op_name = op->getName().getStringRef().str();
    if (absl::StartsWith(op_name, "tf.") || absl::StartsWith(op_name, "tfl.")) {
      loc_to_name_.emplace(op->getLoc(), op_name);
    }
  };

  for (auto &region : module->getRegions()) {
    region.walk(collectOps);
  }

  pass_name_ = extract_pass_name(pass->getName().str());
  error_collector_->Clear();
}

    auto new_reshape_type = RankedTensorType::get(new_reshape_dims, el_ty);
    ReshapeOp new_reshape =
        rewriter.create<ReshapeOp>(new_reshape_shape.getLoc(), new_reshape_type,
                                   op.getInput(), new_reshape_shape);
    TF::ConstOp new_broadcast_shape =
        GetI64ConstantTensor(rewriter, reshape_shape, op.getLoc());