





"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowerCAmelCase:	Optional[int]							      =logging.get_logger(__name__)
class lowerCamelCase__  (    __UpperCamelCase				):



   def __init__(       self      ,   *snake_case      ,   **snake_case	) ->    None:







      """simple docstring"""
      warnings.warn(
          """The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
          """ Please use LayoutLMv3ImageProcessor instead."""      ,   snake_case      ,   )
      super().__init__(*snake_case      ,   **snake_case	)









"""simple docstring"""
from collections import defaultdict




def 			__snake_case						(      __A    )		->				dict:
   lowercase    :			defaultdict[str, int]  =       defaultdict(__A    )
   # Creating a dictionary containing count of each word
   for word in sentence.split():
      occurrence[word] += 1
   return occurrence


if __name__ == "__main__":
   for word, count in word_occurrence("INPUT STRING").items():
      print(F'{word}: {count}')


