def METHOD_NAME(  # noqa: PLR0913
    self,
    name: str,
    *,
    batch_metadata: Optional[BatchMetadata] = ...,
    batching_regex: re.Pattern | str = r".*",
    glob_directive: str = "**/*",
    order_by: Optional[SortersDefinition] = ...,
    # vvv spark parameters for pyspark.sql.DataFrameReader.csv() (ordered as in pyspark v3.4.0)
    # path: PathOrPaths,
    # NA - path determined by asset
    # schema: Optional[Union[StructType, str]] = None,
    spark_schema: Optional[Union[pyspark_types.StructType, str]] = None,
    # sep: Optional[str] = None,
    sep: Optional[str] = None,
    # encoding: Optional[str] = None,
    encoding: Optional[str] = None,
    # quote: Optional[str] = None,
    quote: Optional[str] = None,
    # escape: Optional[str] = None,
    escape: Optional[str] = None,
    # comment: Optional[str] = None,
    comment: Optional[str] = None,
    # header: Optional[Union[bool, str]] = None,
    header: Optional[Union[bool, str]] = None,
    # inferSchema: Optional[Union[bool, str]] = None,
    infer_schema: Optional[Union[bool, str]] = None,
    # ignoreLeadingWhiteSpace: Optional[Union[bool, str]] = None,
    ignore_leading_white_space: Optional[Union[bool, str]] = None,
    # ignoreTrailingWhiteSpace: Optional[Union[bool, str]] = None,
    ignore_trailing_white_space: Optional[Union[bool, str]] = None,
    # nullValue: Optional[str] = None,
    null_value: Optional[str] = None,
    # nanValue: Optional[str] = None,
    nan_value: Optional[str] = None,
    # positiveInf: Optional[str] = None,
    positive_inf: Optional[str] = None,
    # negativeInf: Optional[str] = None,
    negative_inf: Optional[str] = None,
    # dateFormat: Optional[str] = None,
    date_format: Optional[str] = None,
    # timestampFormat: Optional[str] = None,
    timestamp_format: Optional[str] = None,
    # maxColumns: Optional[Union[int, str]] = None,
    max_columns: Optional[Union[int, str]] = None,
    # maxCharsPerColumn: Optional[Union[int, str]] = None,
    max_chars_per_column: Optional[Union[int, str]] = None,
    # maxMalformedLogPerPartition: Optional[Union[int, str]] = None,
    max_malformed_log_per_partition: Optional[Union[int, str]] = None,
    # mode: Optional[str] = None,
    mode: Optional[Literal["PERMISSIVE", "DROPMALFORMED", "FAILFAST"]] = None,
    # columnNameOfCorruptRecord: Optional[str] = None,
    column_name_of_corrupt_record: Optional[str] = None,
    # multiLine: Optional[Union[bool, str]] = None,
    multi_line: Optional[Union[bool, str]] = None,
    # charToEscapeQuoteEscaping: Optional[str] = None,
    char_to_escape_quote_escaping: Optional[str] = None,
    # samplingRatio: Optional[Union[float, str]] = None,
    sampling_ratio: Optional[Union[float, str]] = None,
    # enforceSchema: Optional[Union[bool, str]] = None,
    enforce_schema: Optional[Union[bool, str]] = None,
    # emptyValue: Optional[str] = None,
    empty_value: Optional[str] = None,
    # locale: Optional[str] = None,
    locale: Optional[str] = None,
    # lineSep: Optional[str] = None,
    line_sep: Optional[str] = None,
    # pathGlobFilter: Optional[Union[bool, str]] = None,
    path_glob_filter: Optional[Union[bool, str]] = None,
    # recursiveFileLookup: Optional[Union[bool, str]] = None,
    recursive_file_lookup: Optional[Union[bool, str]] = None,
    # modifiedBefore: Optional[Union[bool, str]] = None,
    modified_before: Optional[Union[bool, str]] = None,
    # modifiedAfter: Optional[Union[bool, str]] = None,
    modified_after: Optional[Union[bool, str]] = None,
    # unescapedQuoteHandling: Optional[str] = None,
    unescaped_quote_handling: Optional[
        Literal[
            "STOP_AT_CLOSING_QUOTE",
            "BACK_TO_DELIMITER",
            "STOP_AT_DELIMITER",
            "SKIP_VALUE",
            "RAISE_ERROR",
        ]
    ] = None,
    # vvv pyspark Docs <> Source Code mismatch
    # The following parameters are mentioned in https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html
    # however do not appear in the source code https://github.com/apache/spark/blob/v3.4.0/python/pyspark/sql/readwriter.py#L309
    # Spark Generic File Reader Options vvv
    # ignore_corrupt_files: bool = ...,
    # ignore_missing_files: bool = ...,
    # Spark Generic File Reader Options ^^^
    # ^^^ pyspark Docs <> Source Code mismatch
    # vvv pyspark Docs <> Source Code mismatch
    # The following parameters are mentioned in https://spark.apache.org/docs/latest/sql-data-sources-csv.html
    # however do not appear in the source code https://github.com/apache/spark/blob/v3.4.0/python/pyspark/sql/readwriter.py#L604
    # CSV Specific Options vvv
    # prefer_date: Optional[bool] = None,
    # timestamp_ntz_format: Optional[str] = None,
    # enable_date_time_parsing_fallback: Optional[bool] = None,
    # CSV Specific Options ^^^
    # ^^^ pyspark Docs <> Source Code mismatch