

"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


SCREAMING_SNAKE_CASE_       :						List[Any]					=    logging.get_logger(__name__)



class        a    (							_lowercase					):



    """simple docstring"""



    def __init__(  self:			Dict     ,    *UpperCamelCase:			Optional[Any]     ,    **UpperCamelCase:			Optional[int]							):






         """simple docstring"""


         warnings.warn(
             """The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use ViltImageProcessor instead."""     ,    __SCREAMING_SNAKE_CASE     ,    )
         super().__init__(*__SCREAMING_SNAKE_CASE     ,    **__SCREAMING_SNAKE_CASE							)







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)

