# Python: 3.9.2 (tags/v3.9.2:1a79785, Feb 19 2021, 13:44:55) [MSC v.1928 64 bit (AMD64)]
# Library: pandas, version: 1.2.4
# Module: pandas._libs.writers, version: unspecified
import typing
import builtins as _mod_builtins

__doc__: typing.Any
__file__: str
__name__: str
__package__: str
def __pyx_unpickle_Enum() -> typing.Any:
    ...

__test__: dict
def convert_json_to_lines() -> typing.Any:
    '\n    replace comma separated json with line feeds, paying special attention\n    to quotes & brackets\n    '
    ...

def max_len_string_array(arr) -> typing.Any:
    '\n    Return the maximum size of elements in a 1-dim string array.\n    '
    ...

def string_array_replace_from_nan_rep() -> typing.Any:
    "\n    Replace the values in the array with 'replacement' if\n    they are 'nan_rep'. Return the same array.\n    "
    ...

def word_len() -> typing.Any:
    '\n    Return the maximum length of a string or bytes value.\n    '
    ...

def write_csv_rows() -> typing.Any:
    '\n    Write the given data to the writer object, pre-allocating where possible\n    for performance improvements.\n\n    Parameters\n    ----------\n    data : list\n    data_index : ndarray\n    nlevels : int\n    cols : ndarray\n    writer : object\n    '
    ...

def __getattr__(name) -> typing.Any:
    ...

