




from __future__ import annotations





def 				A__ (snake_case   :		tuple[int, int]		,	snake_case   :		int				)     ->						list[tuple[int, int]]:
					__UpperCamelCase      ,			__UpperCamelCase					:	Tuple             =      position
					__UpperCamelCase					:	List[str]             =      [
					    (y + 1, x + 2),
					    (y - 1, x + 2),
					    (y + 1, x - 2),
					    (y - 1, x - 2),
					    (y + 2, x + 1),
					    (y + 2, x - 1),
					    (y - 2, x + 1),
					    (y - 2, x - 1),
					]
					__UpperCamelCase					:	Any             =      []

					for position in positions:
										__UpperCamelCase      ,			__UpperCamelCase					:	int             =      position
										if 0 <= y_test < n and 0 <= x_test < n:
															permissible_positions.append(snake_case				)

					return permissible_positions





def 				A__ (snake_case   :		list[list[int]]				)     ->						bool:
					return not any(elem == 0 for row in board for elem in row				)





def 				A__ (snake_case   :		list[list[int]]		,	snake_case   :		tuple[int, int]		,	snake_case   :		int				)     ->						bool:

					if is_complete(snake_case				):
										return True

					for position in get_valid_pos(snake_case		,	len(snake_case				)				):
										__UpperCamelCase      ,			__UpperCamelCase					:	Dict             =      position

										if board[y][x] == 0:
															__UpperCamelCase					:	List[Any]             =      curr + 1
															if open_knight_tour_helper(snake_case		,	snake_case		,	curr + 1				):
																				return True
															__UpperCamelCase					:	Optional[int]             =      0

					return False





def 				A__ (snake_case   :		int				)     ->						list[list[int]]:
					__UpperCamelCase					:	Tuple             =      [[0 for i in range(snake_case				)] for j in range(snake_case				)]

					for i in range(snake_case				):
										for j in range(snake_case				):
															__UpperCamelCase					:	List[str]             =      1
															if open_knight_tour_helper(snake_case		,	(i, j)		,	1				):
																				return board
															__UpperCamelCase					:	Optional[int]             =      0

					__UpperCamelCase					:	List[str]             =      F'''Open Kight Tour cannot be performed on a board of size {n}'''
					raise ValueError(snake_case				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()












import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


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

a__		     =     '''lm_head.decoder.weight'''
a__		     =     '''lm_head.weight'''





def 				A__ (snake_case   :		str		,	snake_case   :		str				)     ->						Union[str, Any]:
					__UpperCamelCase					:	Union[str, Any]             =      torch.load(snake_case				)
					__UpperCamelCase					:	int             =      d.pop(snake_case				)
					os.makedirs(snake_case		,	exist_ok=snake_case				)
					torch.save(snake_case		,	os.path.join(snake_case		,	snake_case				)				)


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






