


import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


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

lowerCAmelCase	=							'lm_head.decoder.weight'
lowerCAmelCase	=							'lm_head.weight'
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


  """simple docstring"""




  lowercase__						=				torch.load(SCREAMING_SNAKE_CASE					)
  lowercase__						=				d.pop(SCREAMING_SNAKE_CASE					)
  os.makedirs(SCREAMING_SNAKE_CASE						,    exist_ok=SCREAMING_SNAKE_CASE					)
  torch.save(SCREAMING_SNAKE_CASE						,    os.path.join(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)					)


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






from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass


@dataclass
class 	_a							:
							_lowercase     :      int
							_lowercase     :      TreeNode | None  				=			None
							_lowercase     :      TreeNode | None  				=			None
lowerCAmelCase	=							namedtuple('CoinsDistribResult', 'moves excess')
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		if root is None:
				return 0

		# Validation
		def count_nodes(SCREAMING_SNAKE_CASE					) -> int:
				if node is None:
						return 0

				return count_nodes(node.left					) + count_nodes(node.right					) + 1

		def count_coins(SCREAMING_SNAKE_CASE					) -> int:
				if node is None:
						return 0

				return count_coins(node.left					) + count_coins(node.right					) + node.data

		if count_nodes(SCREAMING_SNAKE_CASE					) != count_coins(SCREAMING_SNAKE_CASE					):
				raise ValueError('''The nodes number should be same as the number of coins'''					)

		# Main calculation
		def get_distrib(SCREAMING_SNAKE_CASE					) -> CoinsDistribResult:

				if node is None:
						return CoinsDistribResult(0						,    1					)

				lowercase__					,		lowercase__						=				get_distrib(node.left					)
				lowercase__					,		lowercase__						=				get_distrib(node.right					)

				lowercase__						=				1 - left_distrib_excess
				lowercase__						=				1 - right_distrib_excess

				lowercase__						=				(
				    left_distrib_moves
				    + right_distrib_moves
				    + abs(SCREAMING_SNAKE_CASE					)
				    + abs(SCREAMING_SNAKE_CASE					)
				)
				lowercase__						=				node.data - coins_to_left - coins_to_right

				return CoinsDistribResult(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)

		return get_distrib(SCREAMING_SNAKE_CASE					)[0]


if __name__ == "__main__":
			import doctest

			doctest.testmod()


