

'''simple docstring'''







from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
__lowerCamelCase		       =    10
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       for i in range(UpperCAmelCase__,       UpperCAmelCase__				):
              if array[i] == target:
                     return i
       return -1
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       A_						=      0
       A_						=      len(UpperCAmelCase__				)
       while left <= right:
              if right - left < precision:
                     return lin_search(UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)

              A_						=      (left + right) // 3 + 1
              A_						=      2 * (left + right) // 3 + 1

              if array[one_third] == target:
                     return one_third
              elif array[two_third] == target:
                     return two_third

              elif target < array[one_third]:
                     A_						=      one_third - 1
              elif array[two_third] < target:
                     A_						=      two_third + 1

              else:
                     A_						=      one_third + 1
                     A_						=      two_third - 1
       else:
              return -1
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			int:
       if left < right:
              if right - left < precision:
                     return lin_search(UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)
              A_						=      (left + right) // 3 + 1
              A_						=      2 * (left + right) // 3 + 1

              if array[one_third] == target:
                     return one_third
              elif array[two_third] == target:
                     return two_third

              elif target < array[one_third]:
                     return rec_ternary_search(UpperCAmelCase__,       one_third - 1,       UpperCAmelCase__,       UpperCAmelCase__				)
              elif array[two_third] < target:
                     return rec_ternary_search(two_third + 1,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)
              else:
                     return rec_ternary_search(one_third + 1,       two_third - 1,       UpperCAmelCase__,       UpperCAmelCase__				)
       else:
              return -1


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      __lowerCamelCase		       =    input('''Enter numbers separated by comma:\n''').strip()
      __lowerCamelCase		       =    [int(item.strip()) for item in user_input.split(''',''')]
      assert collection == sorted(collection), f"List must be ordered.\n{collection}."
      __lowerCamelCase		       =    int(input('''Enter the number to be found in the list:\n''').strip())
      __lowerCamelCase		       =    ite_ternary_search(collection, target)
      __lowerCamelCase		       =    rec_ternary_search(0, len(collection) - 1, collection, target)
      if resulta != -1:
            print(f"""Iterative search: {target} found at positions: {resulta}""")
            print(f"""Recursive search: {target} found at positions: {resulta}""")
      else:
            print('''Not found''')



'''simple docstring'''







from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class 					A__      (      _snake_case			):
    lowercase						=		"ClapFeatureExtractor"
    lowercase						=		("RobertaTokenizer", "RobertaTokenizerFast")



    def __init__(					self		,				UpperCamelCase__		,				UpperCamelCase__       )						->      Tuple:





           '''simple docstring'''
           super().__init__(UpperCamelCase__		,				UpperCamelCase__       )



    def __call__(					self		,				UpperCamelCase__=None		,				UpperCamelCase__=None		,				UpperCamelCase__=None		,				**UpperCamelCase__       )						->      Tuple:





           '''simple docstring'''
           A_						=      kwargs.pop("""sampling_rate"""		,				UpperCamelCase__       )

           if text is None and audios is None:
                  raise ValueError("""You have to specify either text or audios. Both cannot be none."""       )

           if text is not None:
                  A_						=      self.tokenizer(UpperCamelCase__		,				return_tensors=UpperCamelCase__		,				**UpperCamelCase__       )

           if audios is not None:
                  A_						=      self.feature_extractor(
                      UpperCamelCase__		,				sampling_rate=UpperCamelCase__		,				return_tensors=UpperCamelCase__		,				**UpperCamelCase__       )

           if text is not None and audios is not None:
                  A_						=      audio_features.input_features
                  return encoding
           elif text is not None:
                  return encoding
           else:
                  return BatchEncoding(data=dict(**UpperCamelCase__       )		,				tensor_type=UpperCamelCase__       )



    def 					snake_case_			(					self		,				*UpperCamelCase__		,				**UpperCamelCase__       )						->      Optional[int]:





           '''simple docstring'''
           return self.tokenizer.batch_decode(*UpperCamelCase__		,				**UpperCamelCase__       )



    def 					snake_case_			(					self		,				*UpperCamelCase__		,				**UpperCamelCase__       )						->      str:





           '''simple docstring'''
           return self.tokenizer.decode(*UpperCamelCase__		,				**UpperCamelCase__       )







    @property
    def 					snake_case_			(					self       )						->      int:





           '''simple docstring'''
           A_						=      self.tokenizer.model_input_names
           A_						=      self.feature_extractor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names       )       )
