

import numpy as np

__snake_case							:     List[str] 						=	[
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]



class    A__:
						"""simple docstring"""






						def __init__(  self  )      ->				None:
									a_		:		List[Any]				    =				np.array(_lowercase  )





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				np.ndarray:
									a_    ,			a_		:		List[Any]				    =				np.where(letter == self.SQUARE  )
									a_		:		int				    =				np.concatenate([indexa + 1, indexa + 1]  )
									return indexes





						def 	UpperCamelCase__			(  self       ,     _lowercase       ,     _lowercase  )      ->				str:
									return self.SQUARE[indexa - 1, indexa - 1]





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				str:
									a_		:		List[Any]				    =				message.lower()
									a_		:		List[Any]				    =				message.replace("""j"""       ,     """i"""  )

									a_		:		Optional[Any]				    =				""""""
									for letter_index in range(len(_lowercase  )  ):
												if message[letter_index] != " ":
															a_		:		Optional[Any]				    =				self.letter_to_numbers(message[letter_index]  )
															a_		:		Optional[Any]				    =				encoded_message + str(numbers[0]  ) + str(numbers[1]  )
												elif message[letter_index] == " ":
															a_		:		Union[str, Any]				    =				encoded_message + """ """

									return encoded_message





						def 	UpperCamelCase__			(  self       ,     _lowercase  )      ->				str:
									a_		:		Union[str, Any]				    =				message.replace(""" """       ,     """  """  )
									a_		:		Optional[int]				    =				""""""
									for numbers_index in range(int(len(_lowercase  ) / 2  )  ):
												if message[numbers_index * 2] != " ":
															a_		:		List[str]				    =				message[numbers_index * 2]
															a_		:		int				    =				message[numbers_index * 2 + 1]

															a_		:		str				    =				self.numbers_to_letter(int(_lowercase  )       ,     int(_lowercase  )  )
															a_		:		List[Any]				    =				decoded_message + letter
												elif message[numbers_index * 2] == " ":
															a_		:		List[Any]				    =				decoded_message + """ """

									return decoded_message





import sys

from transformers import AutoTokenizer


__snake_case							:     int 						=	sys.argv[1]
__snake_case							:     Dict 						=	sys.argv[2]
__snake_case							:     Dict 						=	int(sys.argv[3])

__snake_case							:     Union[str, Any] 						=	0

__snake_case							:     Any 						=	AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, """rt""") as f_p:
	for line in f_p:
		__snake_case							:     str 						=	line.rstrip()

		if not line:
			print(line)
			__snake_case							:     Optional[int] 						=	0
			continue

		__snake_case							:     Dict 						=	line.split()[0]

		__snake_case							:     str 						=	len(tokenizer.tokenize(token))

		# Token contains strange control characters like \x96 or \x95
		# Just filter out the complete line
		if current_subwords_len == 0:
			continue

		if (subword_len_counter + current_subwords_len) > max_len:
			print("""""")
			print(line)
			__snake_case							:     Optional[int] 						=	current_subwords_len
			continue

		subword_len_counter += current_subwords_len

		print(line)


