
from ..utils import DummyObject, requires_backends






class 							SCREAMING_SNAKE_CASE__     (				metaclass=SCREAMING_SNAKE_CASE_     ):

							"""simple docstring"""






							_snake_case  		=	['torch', 'transformers', 'invisible_watermark']



							def __init__(	self  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> List[str]:





													'''simple docstring'''






													requires_backends(self  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )



							@classmethod
							def      A__		(	cls  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> Union[str, Any]:





													'''simple docstring'''






													requires_backends(cls  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )



							@classmethod
							def      A__		(	cls  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> Union[str, Any]:





													'''simple docstring'''






													requires_backends(cls  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )






class 							SCREAMING_SNAKE_CASE__     (				metaclass=SCREAMING_SNAKE_CASE_     ):

							"""simple docstring"""






							_snake_case  		=	['torch', 'transformers', 'invisible_watermark']



							def __init__(	self  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> Any:





													'''simple docstring'''






													requires_backends(self  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )



							@classmethod
							def      A__		(	cls  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> Tuple:





													'''simple docstring'''






													requires_backends(cls  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )



							@classmethod
							def      A__		(	cls  ,						*SCREAMING_SNAKE_CASE_  ,						**SCREAMING_SNAKE_CASE_      )-> List[Any]:





													'''simple docstring'''






													requires_backends(cls  ,						['''torch''', '''transformers''', '''invisible_watermark''']      )





import sys

from transformers import AutoTokenizer


_SCREAMING_SNAKE_CASE:    Optional[int]     						=							sys.argv[1]
_SCREAMING_SNAKE_CASE:    int     						=							sys.argv[2]
_SCREAMING_SNAKE_CASE:    str     						=							int(sys.argv[3])

_SCREAMING_SNAKE_CASE:    Union[str, Any]     						=							0

_SCREAMING_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:
						_SCREAMING_SNAKE_CASE:    Any     						=							line.rstrip()

						if not line:
									print(line)
									_SCREAMING_SNAKE_CASE:    str     						=							0
									continue

						_SCREAMING_SNAKE_CASE:    Optional[int]     						=							line.split()[0]

						_SCREAMING_SNAKE_CASE:    Tuple     						=							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)
									_SCREAMING_SNAKE_CASE:    Any     						=							current_subwords_len
									continue

						subword_len_counter += current_subwords_len

						print(line)

