


import re





def __UpperCAmelCase       (		__A			)						->					List[Any]:



       '''simple docstring'''





       return [char.split() for char in re.split(R"[^ a-z A-Z 0-9 \s]" ,						str_			)]





def __UpperCAmelCase       (		__A			)						->					List[Any]:



       '''simple docstring'''





       UpperCAmelCase__										=     split_input(str_			)
       return "".join(
           ["".join([char.capitalize() for char in sub_str]			) for sub_str in string_split]			)





def __UpperCAmelCase       (		__A ,						__A ,						__A			)						->					str:



       '''simple docstring'''





       try:
              UpperCAmelCase__										=     split_input(__snake_case			)
              if upper:
                     UpperCAmelCase__										=     "".join(
                         [
                             separator.join([char.upper() for char in sub_str]			)
                             for sub_str in string_split
                         ]			)
              else:
                     UpperCAmelCase__										=     "".join(
                         [
                             separator.join([char.lower() for char in sub_str]			)
                             for sub_str in string_split
                         ]			)
              return res_str
       except IndexError:
              return "not valid string"





def __UpperCAmelCase       (		__A			)						->					int:



       '''simple docstring'''





       return to_simple_case(__snake_case			)





def __UpperCAmelCase       (		__A			)						->					Optional[int]:



       '''simple docstring'''





       try:
              UpperCAmelCase__										=     to_simple_case(__snake_case			)
              return res_str[0].lower() + res_str[1:]
       except IndexError:
              return "not valid string"





def __UpperCAmelCase       (		__A ,						__A			)						->					Optional[int]:



       '''simple docstring'''





       return to_complex_case(__snake_case ,						__snake_case ,						"_"			)





def __UpperCAmelCase       (		__A ,						__A			)						->					str:



       '''simple docstring'''





       return to_complex_case(__snake_case ,						__snake_case ,						"-"			)


if __name__ == "__main__":
    __import__("doctest").testmod()









import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A      = logging.getLogger(__name__)


@dataclass
class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  field(
      default=0.0					,							metadata={'help': 'The label smoothing epsilon to apply (if not zero).'}		)
  A__=  field(default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Whether to SortishSamler or not.'}		)
  A__=  field(
      default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}		)
  A__=  field(default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'whether to use adafactor'}		)
  A__=  field(
      default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Encoder layer dropout probability. Goes into model.config.'}		)
  A__=  field(
      default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Decoder layer dropout probability. Goes into model.config.'}		)
  A__=  field(default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Dropout probability. Goes into model.config.'}		)
  A__=  field(
      default=__SCREAMING_SNAKE_CASE					,							metadata={'help': 'Attention dropout probability. Goes into model.config.'}		)
  A__=  field(
      default='linear'					,							metadata={'help': f'Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()		)}'}					,							)





