def 						A__  (					__A   , __A	):







    '''simple docstring'''
    _lowerCamelCase     :		int 						=						word.split()

    def justify(__A   , __A   , __A	) -> str:
        _lowerCamelCase     :		List[str] 						=						max_width - width
        _lowerCamelCase     :		Any 						=						len(__A	)
        if len(__A	) == 1:
            # if there is only word in line
            # just insert overall_spaces_count for the remainder of line
            return line[0] + " " * overall_spaces_count
        else:
            _lowerCamelCase     :		Optional[Any] 						=						words_count - 1
            # num_spaces_between_words_list[i] : tells you to insert
            # num_spaces_between_words_list[i] spaces
            # after word on line[i]
            _lowerCamelCase     :		str 						=						spaces_to_insert_between_words * [
                overall_spaces_count // spaces_to_insert_between_words
            ]
            _lowerCamelCase     :		Union[str, Any] 						=						(
                overall_spaces_count % spaces_to_insert_between_words
            )
            # distribute spaces via round robin to the left words
            for i in range(__A	):
                num_spaces_between_words_list[i] += 1
            _lowerCamelCase     :		Any 						=						[]
            for i in range(__A	):
                # add the word
                aligned_words_list.append(line[i]	)
                # add the spaces to insert
                aligned_words_list.append(num_spaces_between_words_list[i] * """ """	)
            # just add the last word to the sentence
            aligned_words_list.append(line[-1]	)
            # join the aligned words list to form a justified line
            return "".join(__A	)

    _lowerCamelCase     :		Optional[Any] 						=						[]
    _lowerCamelCase     :		list[str] 						=						[]
    _lowerCamelCase     :		Any 						=						0
    for word in words:
        if width + len(__A	) + len(__A	) <= max_width:
            # keep adding words until we can fill out max_width
            # width = sum of length of all words (without overall_spaces_count)
            # len(word) = length of current word
            # len(line) = number of overall_spaces_count to insert between words
            line.append(__A	)
            width += len(__A	)
        else:
            # justify the line and add it to result
            answer.append(justify(__A   , __A   , __A	)	)
            # reset new line and new width
            _lowerCamelCase     :		List[str] 						=						[word], len(__A	)
    _lowerCamelCase     :		List[Any] 						=						max_width - width - len(__A	)
    answer.append(""" """.join(__A	) + (remaining_spaces + 1) * """ """	)
    return answer


if __name__ == "__main__":
    from doctest import testmod

    testmod()





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 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      def __init__(					self     :				Dict    ,  _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     :				Tuple    ,  )				->Union[str, Any]:


          """simple docstring"""


          super().__init__(
              _UpperCamelCase    ,  split=_UpperCamelCase    ,  features=_UpperCamelCase    ,  cache_dir=_UpperCamelCase    ,  keep_in_memory=_UpperCamelCase    ,  streaming=_UpperCamelCase    ,  num_proc=_UpperCamelCase    ,  **_UpperCamelCase    ,  )
          _lowerCamelCase     :		List[Any] 						=						path_or_paths if isinstance(_UpperCamelCase    ,  _UpperCamelCase) else {self.split: path_or_paths}
          _lowerCamelCase     :		Any 						=						Text(
              cache_dir=_UpperCamelCase    ,  data_files=_UpperCamelCase    ,  features=_UpperCamelCase    ,  **_UpperCamelCase    ,  )




      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any])				->Optional[Any]:


          """simple docstring"""


          if self.streaming:
              _lowerCamelCase     :		Tuple 						=						self.builder.as_streaming_dataset(split=self.split)
          # Build regular (map-style) dataset
          else:
              _lowerCamelCase     :		List[Any] 						=						None
              _lowerCamelCase     :		Any 						=						None
              _lowerCamelCase     :		List[str] 						=						None
              _lowerCamelCase     :		Dict 						=						None

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




