cxx_reg_code[-1] += ';\n'
    self.emit('\n    '.join(cxx_reg_code))


class OpRegGen(transpiler.GenericTranspiler):
  """Transforms Python objects into TFR MLIR source code."""

  def transform_ast(self, node, ctx):
    gen = OpRegGenImpl(ctx)
    gen.visit(node)
    return gen.code_buffer


def op_reg_gen(func):
  """Parse a function and emit the TFR functions."""

  # copied from PyToTF.transform_ast
  node = return_statements.transform(node, ctx, False)
  node = control_flow.transform(node, ctx)
  return node


class TfrGen(transpiler.GenericTranspiler):
  """Transforms Python objects into TFR MLIR source code."""

  def __init__(self, op_defs):
    self._op_defs = op_defs

  def transform_ast(self, node, ctx):

Johan Brandhorst-Satzkorn <******@****.***> 1679759419 -0700

    def "task can use Path to represent input and output locations on annotated properties"() {
        buildFile """
            import java.nio.file.Path
            import java.nio.file.Files

            class TransformTask extends DefaultTask {
                @InputFile
                Path inputFile
                @InputDirectory
                Path inputDir
                @OutputFile
                Path outputFile

#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/statusor.h"
#include "tensorflow/core/platform/test.h"

namespace tf {
namespace libtf {

TEST(TransformTest, LoadSavedModel) {
  Object mlir = MLIR();
  TF_ASSERT_OK_AND_ASSIGN(Callable load,
                          mlir.Get<Callable>(String("LoadSavedModel")));

  TF_ASSERT_OK_AND_ASSIGN(
      Handle model_bad,