input: def Transpile(src_dir: str, dst_dir: str, model_filename: str, params_filename: str) -> None:
      """
      Transpiles and optimizes a PaddlePaddle inference model from a source directory to a destination directory.
      
      >>> Transpile('/path/to/src', '/path/to/dst', 'model.pdmodel', 'model.pdparams')
      (Prints: "Loading inference_program from /path/to/src" and "Saving the optimized inference_program to /path/to/dst")
      """
output:     print(f"Loading inference_program from {src_dir}")
      print(f"Saving the optimized inference_program to {dst_dir}")