def METHOD_NAME(
    self,
    file_path: Path,
    meta: Optional[Dict[str, str]],
    remove_numeric_tables: Optional[bool] = None,
    valid_languages: Optional[List[str]] = None,
    encoding: Optional[str] = "utf-8",
) -> List[Dict[str, Any]]:
    """
    Convert a file to a dictionary containing the text and any associated meta data.
    File converters may extract file meta like name or size. In addition to it, user
    supplied meta data like author, url, external IDs can be supplied as a dictionary.
    :param file_path: path of the file to convert
    :param meta: dictionary of meta data key-value pairs to append in the returned document.
    :param remove_numeric_tables: This option uses heuristics to remove numeric rows from the tables.
                                  The tabular structures in documents might be noise for the reader model if it
                                  does not have table parsing capability for finding answers. However, tables
                                  may also have long strings that could possible candidate for searching answers.
                                  The rows containing strings are thus retained in this option.
    :param valid_languages: validate languages from a list of languages specified in the ISO 639-1
                            (https://en.wikipedia.org/wiki/ISO_639-1) format.
                            This option can be used to add test for encoding errors. If the extracted text is
                            not one of the valid languages, then it might likely be encoding error resulting
                            in garbled text.
    :param encoding: Select the file encoding (default is `utf-8`)
    """
    pass