





from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader


class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""




							def __init__( self     :					List[str],			_UpperCAmelCase     :					NestedDataStructureLike[PathLike],			_UpperCAmelCase     :					Optional[NamedSplit] = None,			_UpperCAmelCase     :					Optional[Features] = None,			_UpperCAmelCase     :					str = None,			_UpperCAmelCase     :					bool = False,			_UpperCAmelCase     :					bool = False,			_UpperCAmelCase     :					Optional[int] = None,			**_UpperCAmelCase     :					Optional[int],			)				->			int:





														"""simple docstring"""
														super().__init__(
														    _UpperCAmelCase,			split=_UpperCAmelCase,			features=_UpperCAmelCase,			cache_dir=_UpperCAmelCase,			keep_in_memory=_UpperCAmelCase,			streaming=_UpperCAmelCase,			num_proc=_UpperCAmelCase,			**_UpperCAmelCase,			)
														SCREAMING_SNAKE_CASE__       :      str     =						path_or_paths if isinstance(_UpperCAmelCase,			_UpperCAmelCase						) else {self.split: path_or_paths}
														SCREAMING_SNAKE_CASE__       :      Dict     =						Text(
														    cache_dir=_UpperCAmelCase,			data_files=_UpperCAmelCase,			features=_UpperCAmelCase,			**_UpperCAmelCase,			)






							def  A_     ( self     :					int						)				->			Dict:





														"""simple docstring"""
														# Build iterable dataset
														if self.streaming:
																					SCREAMING_SNAKE_CASE__       :      int     =						self.builder.as_streaming_dataset(split=self.split						)
														# Build regular (map-style) dataset
														else:
																					SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						None
																					SCREAMING_SNAKE_CASE__       :      Tuple     =						None
																					SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						None
																					SCREAMING_SNAKE_CASE__       :      Any     =						None

																					self.builder.download_and_prepare(
																					    download_config=_UpperCAmelCase,			download_mode=_UpperCAmelCase,			verification_mode=_UpperCAmelCase,			base_path=_UpperCAmelCase,			num_proc=self.num_proc,			)
																					SCREAMING_SNAKE_CASE__       :      Optional[int]     =						self.builder.as_dataset(
																					    split=self.split,			verification_mode=_UpperCAmelCase,			in_memory=self.keep_in_memory						)
														return dataset













def _a (  SCREAMING_SNAKE_CASE__      :  str			,				SCREAMING_SNAKE_CASE__      :  str       )	->    int:

							'''simple docstring'''






							if len(SCREAMING_SNAKE_CASE__       ) != len(SCREAMING_SNAKE_CASE__       ):
														raise ValueError("String lengths must match!"       )

							SCREAMING_SNAKE_CASE__       :      Dict     =						0

							for chara, chara in zip(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														if chara != chara:
																					count += 1

							return count


if __name__ == "__main__":
		import doctest

		doctest.testmod()






