


from collections import defaultdict







def 						_lowercase       (     __lowerCamelCase			:					str			)  ->   dict:





     '''simple docstring'''





     UpperCamelCase__							:  defaultdict[str, int]								=     defaultdict(__lowerCamelCase			)
     # 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}')








import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_SCREAMING_SNAKE_CASE :					List[str]			=	logging.get_logger(__name__)

class  UpperCamelCase__ ( __lowerCamelCase			):






      def __init__(     self					:   List[str],		*__lowerCamelCase					:   Optional[int],		**__lowerCamelCase					:   Dict   )  -> None:
           warnings.warn(
               '''The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
               ''' Please use MobileNetV1ImageProcessor instead.''',		__lowerCamelCase,		)
           super().__init__(*__lowerCamelCase,		**__lowerCamelCase   )




