'''simple docstring'''





import warnings
from contextlib import contextmanager

from ....processing_utils import ProcessorMixin




class 			__A (					UpperCamelCase__      ):
    a__			:		int			  =    """MCTCTFeatureExtractor"""
    a__			:		int			  =    """AutoTokenizer"""



    def __init__(self       :       Dict  ,     __a       :       Tuple  ,     __a       :       Optional[Any]					):
         super().__init__(__a  ,     __a					)
         UpperCAmelCase_			       =  self.feature_extractor
         UpperCAmelCase_			       =  False



    def __call__(self       :       Dict  ,     *__a       :       int  ,     **__a       :       str					):
         # For backward compatibility
         if self._in_target_context_manager:
              return self.current_processor(*__a  ,     **__a					)

         if "raw_speech" in kwargs:
              warnings.warn("Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead."					)
              UpperCAmelCase_			       =  kwargs.pop("raw_speech"					)
         else:
              UpperCAmelCase_			       =  kwargs.pop("audio"  ,     __a					)
         UpperCAmelCase_			       =  kwargs.pop("sampling_rate"  ,     __a					)
         UpperCAmelCase_			       =  kwargs.pop("text"  ,     __a					)
         if len(__a					) > 0:
              UpperCAmelCase_			       =  args[0]
              UpperCAmelCase_			       =  args[1:]

         if audio is None and text is None:
              raise ValueError("You need to specify either an `audio` or `text` input to process."					)

         if audio is not None:
              UpperCAmelCase_			       =  self.feature_extractor(__a  ,     *__a  ,     sampling_rate=__a  ,     **__a					)
         if text is not None:
              UpperCAmelCase_			       =  self.tokenizer(__a  ,     **__a					)

         if text is None:
              return inputs
         elif audio is None:
              return encodings
         else:
              UpperCAmelCase_			       =  encodings["input_ids"]
              return inputs



    def    _lowercase		(self       :       List[Any]  ,     *__a       :       List[Any]  ,     **__a       :       int					):
         return self.tokenizer.batch_decode(*__a  ,     **__a					)



    def    _lowercase		(self       :       Optional[int]  ,     *__a       :       str  ,     **__a       :       List[Any]					):
         # For backward compatibility
         if self._in_target_context_manager:
              return self.current_processor.pad(*__a  ,     **__a					)

         UpperCAmelCase_			       =  kwargs.pop("input_features"  ,     __a					)
         UpperCAmelCase_			       =  kwargs.pop("labels"  ,     __a					)
         if len(__a					) > 0:
              UpperCAmelCase_			       =  args[0]
              UpperCAmelCase_			       =  args[1:]

         if input_features is not None:
              UpperCAmelCase_			       =  self.feature_extractor.pad(__a  ,     *__a  ,     **__a					)
         if labels is not None:
              UpperCAmelCase_			       =  self.tokenizer.pad(__a  ,     **__a					)

         if labels is None:
              return input_features
         elif input_features is None:
              return labels
         else:
              UpperCAmelCase_			       =  labels["input_ids"]
              return input_features



    def    _lowercase		(self       :       Optional[int]  ,     *__a       :       List[Any]  ,     **__a       :       Tuple					):
         return self.tokenizer.decode(*__a  ,     **__a					)






    @contextmanager
    def    _lowercase		(self       :       Any					):
         warnings.warn(
             "`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your "
             "labels by using the argument `text` of the regular `__call__` method (either in the same call as "
             "your audio inputs, or in a separate call."					)
         UpperCAmelCase_			       =  True
         UpperCAmelCase_			       =  self.tokenizer
         yield
         UpperCAmelCase_			       =  self.feature_extractor
         UpperCAmelCase_			       =  False







"""simple docstring"""
from __future__ import annotations

import math

class       lowerCamelCase	:


  '''simple docstring'''







  def __init__(self							,       _lowerCamelCase	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    size
        # approximate the overall size of segment tree with given value
        UpperCAmelCase__			:							Tuple							=    [0 for i in range(0							,       4 * size	)]
        # create array to store lazy update
        UpperCAmelCase__			:							int							=    [0 for i in range(0							,       4 * size	)]
        UpperCAmelCase__			:							Tuple							=    [0 for i in range(0							,       4 * size	)]  # flag for lazy update



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        return idx * 2



  def  _a      (self							,       _lowerCamelCase	):


        """simple docstring"""

        return idx * 2 + 1



  def  _a      (self							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	):


        """simple docstring"""

        if left_element == right_element:
              UpperCAmelCase__			:							Union[str, Any]							=    a[left_element - 1]
        else:
              UpperCAmelCase__			:							List[str]							=    (left_element + right_element) // 2
              self.build(self.left(_lowerCamelCase	)							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	)
              self.build(self.right(_lowerCamelCase	)							,       mid + 1							,       _lowerCamelCase							,       _lowerCamelCase	)
              UpperCAmelCase__			:							int							=    max(
                  self.segment_tree[self.left(_lowerCamelCase	)]							,       self.segment_tree[self.right(_lowerCamelCase	)]	)



  def  _a      (self							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	):


        """simple docstring"""

        if self.flag[idx] is True:
              UpperCAmelCase__			:							Union[str, Any]							=    self.lazy[idx]
              UpperCAmelCase__			:							Dict							=    False
              if left_element != right_element:
                    UpperCAmelCase__			:							Optional[Any]							=    self.lazy[idx]
                    UpperCAmelCase__			:							Optional[int]							=    self.lazy[idx]
                    UpperCAmelCase__			:							Tuple							=    True
                    UpperCAmelCase__			:							str							=    True

        if right_element < a or left_element > b:
              return True
        if left_element >= a and right_element <= b:
              UpperCAmelCase__			:							Union[str, Any]							=    val
              if left_element != right_element:
                    UpperCAmelCase__			:							Union[str, Any]							=    val
                    UpperCAmelCase__			:							List[Any]							=    val
                    UpperCAmelCase__			:							Union[str, Any]							=    True
                    UpperCAmelCase__			:							List[Any]							=    True
              return True
        UpperCAmelCase__			:							Tuple							=    (left_element + right_element) // 2
        self.update(self.left(_lowerCamelCase	)							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	)
        self.update(self.right(_lowerCamelCase	)							,       mid + 1							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	)
        UpperCAmelCase__			:							Dict							=    max(
            self.segment_tree[self.left(_lowerCamelCase	)]							,       self.segment_tree[self.right(_lowerCamelCase	)]	)
        return True



  def  _a      (self							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	):


        """simple docstring"""

        if self.flag[idx] is True:
              UpperCAmelCase__			:							List[Any]							=    self.lazy[idx]
              UpperCAmelCase__			:							Optional[Any]							=    False
              if left_element != right_element:
                    UpperCAmelCase__			:							Tuple							=    self.lazy[idx]
                    UpperCAmelCase__			:							Union[str, Any]							=    self.lazy[idx]
                    UpperCAmelCase__			:							List[str]							=    True
                    UpperCAmelCase__			:							str							=    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]
        UpperCAmelCase__			:							Union[str, Any]							=    (left_element + right_element) // 2
        UpperCAmelCase__			:							Tuple							=    self.query(self.left(_lowerCamelCase	)							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	)
        UpperCAmelCase__			:							List[Any]							=    self.query(self.right(_lowerCamelCase	)							,       mid + 1							,       _lowerCamelCase							,       _lowerCamelCase							,       _lowerCamelCase	)
        return max(_lowerCamelCase							,       _lowerCamelCase	)




  def __str__(self	):


        """simple docstring"""

        return str([self.query(1							,       1							,       self.size							,       _lowerCamelCase							,       _lowerCamelCase	) for i in range(1							,       self.size + 1	)]	)


if __name__ == "__main__":
    _A							=  [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
    _A							=  15
    _A							=  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, 1_11)
    print(segt.query(1, 1, size, 1, 15))
    segt.update(1, 1, size, 7, 8, 2_35)
    print(segt)

