def load_data(
        self,
        code_dir: str,
        skip_initpy: bool = True,
        fail_on_malformed_files: bool = False,
    ) -> List[Document]:
        """
        Load data from the specified code directory.
        Additionally, after loading the data, build a dependency graph between the loaded documents.
        The graph is stored as an attribute of the class.


        Parameters
        ----------
        code_dir : str
            The directory path to the code files.
        skip_initpy : bool
            Whether to skip the __init__.py files. Defaults to True.
        fail_on_malformed_files : bool
            Whether to fail on malformed files. Defaults to False - in this case,
            the malformed files are skipped and a warning is logged.

        Returns
        -------
        List[Document]
            A list of loaded documents.

        """
        return self.process_directory(code_dir, skip_initpy, fail_on_malformed_files)

        Load data from the specified code directory.
        Additionally, after loading the data, build a dependency graph between the loaded documents.
        The graph is stored as an attribute of the class.


        Parameters
        ----------
        code_dir : str
            The directory path to the code files.
        skip_initpy : bool
            Whether to skip the __init__.py files. Defaults to True.
        fail_on_malformed_files : bool
            Whether to fail on malformed files. Defaults to False - in this case,
            the malformed files are skipped and a warning is logged.

        Returns
        -------
        List[Document]
            A list of loaded documents.

        
llama-index-integrations/readers/llama-index-readers-docstring-walker/llama_index/readers/docstring_walker/base.py