





"""simple docstring"""
import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property
class lowerCamelCase__  (    unittest.TestCase				):



   @cached_property
   def    _UpperCAmelCase	(       self	) ->    List[str]:







      """simple docstring"""
      return BlenderbotTokenizer.from_pretrained("""facebook/blenderbot-3B"""	)



   @cached_property
   def    _UpperCAmelCase	(       self	) ->    Union[str, Any]:







      """simple docstring"""
      return BlenderbotTokenizerFast.from_pretrained("""facebook/blenderbot-3B"""	)



   def    _UpperCAmelCase	(       self	) ->    int:







      """simple docstring"""
      lowercase    :			Union[str, Any]  =       self.tokenizer_ab
      lowercase    :			int  =       """ I am a small frog."""
      lowercase    :			int  =       tok([src_text]      ,   padding=snake_case      ,   truncation=snake_case	)["""input_ids"""]
      lowercase    :			Dict  =       tok.batch_decode(snake_case      ,   skip_special_tokens=snake_case      ,   clean_up_tokenization_spaces=snake_case	)[0]
      assert src_text == decoded



   def    _UpperCAmelCase	(       self	) ->    Optional[int]:







      """simple docstring"""
      lowercase    :			List[str]  =       self.rust_tokenizer_ab
      lowercase    :			Dict  =       """ I am a small frog."""
      lowercase    :			Union[str, Any]  =       tok([src_text]      ,   padding=snake_case      ,   truncation=snake_case	)["""input_ids"""]
      lowercase    :			Dict  =       tok.batch_decode(snake_case      ,   skip_special_tokens=snake_case      ,   clean_up_tokenization_spaces=snake_case	)[0]
      assert src_text == decoded



   def    _UpperCAmelCase	(       self	) ->    Optional[int]:







      """simple docstring"""
      assert self.tokenizer_ab.add_prefix_space
      assert self.tokenizer_ab([""" Sam""", """Sam"""]	).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]





   def    _UpperCAmelCase	(       self	) ->    Dict:







      """simple docstring"""
      assert self.rust_tokenizer_ab.add_prefix_space
      assert self.rust_tokenizer_ab([""" Sam""", """Sam"""]	).input_ids == [[5_5_0_2, 2], [5_5_0_2, 2]]









"""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}')


