

'''simple docstring'''







from __future__ import annotations

import math


class 					A__      :



    def __init__(					self		,				UpperCamelCase__       )						->      None:





           '''simple docstring'''
           A_						=      size
           # approximate the overall size of segment tree with given value
           A_						=      [0 for i in range(0		,				4 * size       )]
           # create array to store lazy update
           A_						=      [0 for i in range(0		,				4 * size       )]
           A_						=      [0 for i in range(0		,				4 * size       )]  # flag for lazy update



    def 					snake_case_			(					self		,				UpperCamelCase__       )						->      int:





           '''simple docstring'''
           return idx * 2



    def 					snake_case_			(					self		,				UpperCamelCase__       )						->      int:





           '''simple docstring'''
           return idx * 2 + 1



    def 					snake_case_			(					self		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )						->      None:





           '''simple docstring'''
           if left_element == right_element:
                  A_						=      a[left_element - 1]
           else:
                  A_						=      (left_element + right_element) // 2
                  self.build(self.left(UpperCamelCase__       )		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )
                  self.build(self.right(UpperCamelCase__       )		,				mid + 1		,				UpperCamelCase__		,				UpperCamelCase__       )
                  A_						=      max(
                      self.segment_tree[self.left(UpperCamelCase__       )]		,				self.segment_tree[self.right(UpperCamelCase__       )]       )



    def 					snake_case_			(					self		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )						->      bool:





           '''simple docstring'''
           if self.flag[idx] is True:
                  A_						=      self.lazy[idx]
                  A_						=      False
                  if left_element != right_element:
                         A_						=      self.lazy[idx]
                         A_						=      self.lazy[idx]
                         A_						=      True
                         A_						=      True

           if right_element < a or left_element > b:
                  return True
           if left_element >= a and right_element <= b:
                  A_						=      val
                  if left_element != right_element:
                         A_						=      val
                         A_						=      val
                         A_						=      True
                         A_						=      True
                  return True
           A_						=      (left_element + right_element) // 2
           self.update(self.left(UpperCamelCase__       )		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )
           self.update(self.right(UpperCamelCase__       )		,				mid + 1		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )
           A_						=      max(
               self.segment_tree[self.left(UpperCamelCase__       )]		,				self.segment_tree[self.right(UpperCamelCase__       )]       )
           return True



    def 					snake_case_			(					self		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )						->      int | float:





           '''simple docstring'''
           if self.flag[idx] is True:
                  A_						=      self.lazy[idx]
                  A_						=      False
                  if left_element != right_element:
                         A_						=      self.lazy[idx]
                         A_						=      self.lazy[idx]
                         A_						=      True
                         A_						=      True
           if right_element < a or left_element > b:
                  return -math.inf
           if left_element >= a and right_element <= b:
                  return self.segment_tree[idx]
           A_						=      (left_element + right_element) // 2
           A_						=      self.query(self.left(UpperCamelCase__       )		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )
           A_						=      self.query(self.right(UpperCamelCase__       )		,				mid + 1		,				UpperCamelCase__		,				UpperCamelCase__		,				UpperCamelCase__       )
           return max(UpperCamelCase__		,				UpperCamelCase__       )







    def __str__(					self       )						->      str:





           '''simple docstring'''
           return str([self.query(1		,				1		,				self.size		,				UpperCamelCase__		,				UpperCamelCase__       ) for i in range(1		,				self.size + 1       )]       )


if __name__ == "__main__":
      __lowerCamelCase		       =    [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
      __lowerCamelCase		       =    15
      __lowerCamelCase		       =    SegmentTree(size)
      segt.build(1, 1, size, A)
      print(segt.query(1, 1, size, 4, 6))
      print(segt.query(1, 1, size, 7, 11))
      print(segt.query(1, 1, size, 7, 12))
      segt.update(1, 1, size, 1, 3, 111)
      print(segt.query(1, 1, size, 1, 15))
      segt.update(1, 1, size, 7, 8, 235)
      print(segt)



'''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       )       )
