





from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate





@dataclass(frozen=__UpperCAmelCase	)
class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				str         =  field(default='''summarization''' ,  metadata={'''include_in_asdict_even_if_is_default''': True}	)
   __A   :				ClassVar[Features]         =  Features({'''text''': Value('''string'''	)}	)
   __A   :				ClassVar[Features]         =  Features({'''summary''': Value('''string'''	)}	)
   __A   :				str         =  "text"
   __A   :				str         =  "summary"

   @property
   def 							__lowercase		(					self)			->						Dict[str, str]:







          '''simple docstring'''

          return {self.text_column: "text", self.summary_column: "summary"}





def 			A_      (    _UpperCAmelCase				,	_UpperCAmelCase = False    ):

						if not isinstance(_UpperCAmelCase				,	_UpperCAmelCase    ):
												SCREAMING_SNAKE_CASE_: str  		=       f"Expected string as input, found {type(_UpperCAmelCase    )}"
												raise ValueError(_UpperCAmelCase    )
						if not isinstance(_UpperCAmelCase				,	_UpperCAmelCase    ):
												SCREAMING_SNAKE_CASE_: Optional[Any]  		=       f"Expected boolean as use_pascal parameter, found {type(_UpperCAmelCase    )}"
												raise ValueError(_UpperCAmelCase    )

						SCREAMING_SNAKE_CASE_: Tuple  		=       input_str.split("_"    )

						SCREAMING_SNAKE_CASE_: str  		=       0 if use_pascal else 1

						SCREAMING_SNAKE_CASE_: int  		=       words[start_index:]

						SCREAMING_SNAKE_CASE_: List[str]  		=       [word[0].upper() + word[1:] for word in words_to_capitalize]

						SCREAMING_SNAKE_CASE_: List[Any]  		=       "" if use_pascal else words[0]

						return "".join([initial_word, *capitalized_words]    )


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

						testmod()






