

"""simple docstring"""




import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


__UpperCAmelCase =				['small', 'medium', 'large']

__UpperCAmelCase =				'lm_head.decoder.weight'
__UpperCAmelCase =				'lm_head.weight'
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Dict					   =					torch.load(__UpperCamelCase      )
 UpperCAmelCase__					:  Union[str, Any]					   =					d.pop(__UpperCamelCase      )
 os.makedirs(__UpperCamelCase							,    exist_ok=__UpperCamelCase      )
 torch.save(__UpperCamelCase							,    os.path.join(__UpperCamelCase							,    __UpperCamelCase      )      )


if __name__ == "__main__":
      __UpperCAmelCase =				argparse.ArgumentParser()
      parser.add_argument('--dialogpt_path', default='.', type=str)
      __UpperCAmelCase =				parser.parse_args()
      for MODEL in DIALOGPT_MODELS:
            __UpperCAmelCase =				os.path.join(args.dialogpt_path, F"{MODEL}_ft.pkl")
            __UpperCAmelCase =				F"./DialoGPT-{MODEL}"
            convert_dialogpt_checkpoint(
                checkpoint_path,
                pytorch_dump_folder_path,
            )








"""simple docstring"""




__UpperCAmelCase =				'Tobias Carryer'

from time import time







class      __lowercase			:

  def __init__(  self		:			Union[str, Any]					,A		:			Dict					,A		:			Optional[int]					,A		:			Union[str, Any]					,A		:			int=int(time()    )    ):  # noqa: B008






   '''simple docstring'''
   UpperCAmelCase__					:  int					   =					multiplier
   UpperCAmelCase__					:  Union[str, Any]					   =					increment
   UpperCAmelCase__					:  Dict					   =					modulo
   UpperCAmelCase__					:  Tuple					   =					seed




  def    __lowercase       (  self		:			Dict    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Any					   =					(self.multiplier * self.seed + self.increment) % self.modulo
   return self.seed


if __name__ == "__main__":
      # Show the LCG in action.
      __UpperCAmelCase =				LinearCongruentialGenerator(166_4525, 10_1390_4223, 2 << 31)
      while True:
            print(lcg.next_number())





