



"""simple docstring"""


import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
__A   :							List[Any]										=   "."


if __name__ == "__main__":
					__A   :							Any										=   os.path.join(REPO_PATH, "utils/documentation_tests.txt")
					__A   :							Optional[Any]										=   []
					__A   :							Optional[Any]										=   []
					with open(doctest_file_path) as fp:
										for line in fp:
															__A   :							Any										=   line.strip()
															__A   :							Optional[Any]										=   os.path.join(REPO_PATH, line)
															if not (os.path.isfile(path) or os.path.isdir(path)):
																				non_existent_paths.append(line)
															all_paths.append(path)
					if len(non_existent_paths) > 0:
										__A   :							Optional[Any]										=   "\n".join(non_existent_paths)
										raise ValueError(f'''`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}''')
					if all_paths != sorted(all_paths):
										raise ValueError("Files in `utils/documentation_tests.txt` are not in alphabetical order.")








"""simple docstring"""


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 			_a (					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[Any]				,   )->Any:
							super().__init__(
							    __UpperCamelCase				,   split=__UpperCamelCase				,   features=__UpperCamelCase				,   cache_dir=__UpperCamelCase				,   keep_in_memory=__UpperCamelCase				,   streaming=__UpperCamelCase				,   num_proc=__UpperCamelCase				,   **__UpperCamelCase				,   )
							_UpperCAmelCase					=    path_or_paths if isinstance(__UpperCamelCase				,   __UpperCamelCase   ) else {self.split: path_or_paths}
							_UpperCAmelCase					=    Text(
							    cache_dir=__UpperCamelCase				,   data_files=__UpperCamelCase				,   features=__UpperCamelCase				,   **__UpperCamelCase				,   )



			def  lowercase__						(		self     :    Optional[Any]   )->str:
							# Build iterable dataset
							if self.streaming:
											_UpperCAmelCase					=    self.builder.as_streaming_dataset(split=self.split   )
							# Build regular (map-style) dataset
							else:
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    None

											self.builder.download_and_prepare(
											    download_config=__UpperCamelCase				,   download_mode=__UpperCamelCase				,   verification_mode=__UpperCamelCase				,   base_path=__UpperCamelCase				,   num_proc=self.num_proc				,   )
											_UpperCAmelCase					=    self.builder.as_dataset(
											    split=self.split				,   verification_mode=__UpperCamelCase				,   in_memory=self.keep_in_memory   )
							return dataset



