

from collections import defaultdict





def 	snake_case_      (__A     :						str     )			->	dict:
   __lowerCAmelCase  :			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}')




'''simple docstring'''

import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
   import torch







class 	__lowerCAmelCase    (  unittest.TestCase       ,					__a				):



     def     snake_case_ (self	):
          _UpperCAmelCase					:  Tuple         =    load_tool("""speech-to-text"""	)
          self.tool.setup()



     def     snake_case_ (self	):
          _UpperCAmelCase					:  str         =    self.tool(torch.ones(3_0_0_0	)	)
          self.assertEqual(lowerCAmelCase__						,	""" you"""	)



     def     snake_case_ (self	):
          _UpperCAmelCase					:  Union[str, Any]         =    self.tool(audio=torch.ones(3_0_0_0	)	)
          self.assertEqual(lowerCAmelCase__						,	""" you"""	)


