




from __future__ import annotations

SCREAMING_SNAKE_CASE_						:					List[str]			   =       [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]







class 		__UpperCAmelCase:





     """simple docstring"""



     def __init__(      self :       Any						,				A :       int    )			->			None:






         """simple docstring"""
         a__      =       -1
         a__      =       -1
         a__      =       [-1] * length
         a__      =       None
         a__      =       None






     def __repr__(      self :       List[Any]    )			->			str:






         """simple docstring"""
         return f"""Node(min_value={self.minn} max_value={self.maxx})"""






def        __lowerCAmelCase (UpperCAmelCase_		):
    a__      =       Node(len(UpperCAmelCase_		)		)
    a__ ,		a__      =       min(UpperCAmelCase_		), max(UpperCAmelCase_		)
    # Leaf node case where the node contains only one unique value
    if root.minn == root.maxx:
        return root
    a__      =       (root.minn + root.maxx) // 2

    a__      =       []
    a__      =       []

    for index, num in enumerate(UpperCAmelCase_		):
        if num <= pivot:
            left_arr.append(UpperCAmelCase_		)
        else:
            right_arr.append(UpperCAmelCase_		)
        a__      =       len(UpperCAmelCase_		)
    a__      =       build_tree(UpperCAmelCase_		)
    a__      =       build_tree(UpperCAmelCase_		)
    return root
def        __lowerCAmelCase (UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_		):
    if index < 0 or node is None:
        return 0
    # Leaf node cases
    if node.minn == node.maxx:
        return index + 1 if node.minn == num else 0
    a__      =       (node.minn + node.maxx) // 2
    if num <= pivot:
        # go the left subtree and map index to the left subtree
        return rank_till_index(node.left   ,    UpperCAmelCase_   ,    node.map_left[index] - 1		)
    else:
        # go to the right subtree and map index to the right subtree
        return rank_till_index(node.right   ,    UpperCAmelCase_   ,    index - node.map_left[index]		)
def        __lowerCAmelCase (UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_		):
    if start > end:
        return 0
    a__      =       rank_till_index(UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_		)
    a__      =       rank_till_index(UpperCAmelCase_   ,    UpperCAmelCase_   ,    start - 1		)
    return rank_till_end - rank_before_start
def        __lowerCAmelCase (UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_		):
    if index > (end - start) or start > end or node is None:
        return -1
    # Leaf node case
    if node.minn == node.maxx:
        return node.minn
    # Number of elements in the left subtree in interval [start, end]
    a__      =       node.map_left[end] - (
        node.map_left[start - 1] if start else 0
    )
    if num_elements_in_left_tree > index:
        return quantile(
            node.left   ,    UpperCAmelCase_   ,    (node.map_left[start - 1] if start else 0)   ,    node.map_left[end] - 1   ,    )
    else:
        return quantile(
            node.right   ,    index - num_elements_in_left_tree   ,    start - (node.map_left[start - 1] if start else 0)   ,    end - node.map_left[end]   ,    )
def        __lowerCAmelCase (UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    UpperCAmelCase_		):
    if (
        start > end
        or node is None
        or start_num > end_num
        or node.minn > end_num
        or node.maxx < start_num
    ):
        return 0
    if start_num <= node.minn and node.maxx <= end_num:
        return end - start + 1
    a__      =       range_counting(
        node.left   ,    (node.map_left[start - 1] if start else 0)   ,    node.map_left[end] - 1   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    )
    a__      =       range_counting(
        node.right   ,    start - (node.map_left[start - 1] if start else 0)   ,    end - node.map_left[end]   ,    UpperCAmelCase_   ,    UpperCAmelCase_   ,    )
    return left + right


if __name__ == "__main__":
 import doctest

 doctest.testmod()












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE_						:					str			   =       {
    '''configuration_wav2vec2_conformer''': [
        '''WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''Wav2Vec2ConformerConfig''',
    ],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE_						:					Optional[int]			   =       [
     '''WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''Wav2Vec2ConformerForAudioFrameClassification''',
     '''Wav2Vec2ConformerForCTC''',
     '''Wav2Vec2ConformerForPreTraining''',
     '''Wav2Vec2ConformerForSequenceClassification''',
     '''Wav2Vec2ConformerForXVector''',
     '''Wav2Vec2ConformerModel''',
     '''Wav2Vec2ConformerPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_wavaveca_conformer import (
     WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     WavaVecaConformerConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_wavaveca_conformer import (
      WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      WavaVecaConformerForAudioFrameClassification,
      WavaVecaConformerForCTC,
      WavaVecaConformerForPreTraining,
      WavaVecaConformerForSequenceClassification,
      WavaVecaConformerForXVector,
      WavaVecaConformerModel,
      WavaVecaConformerPreTrainedModel,
  )

else:
 import sys

 SCREAMING_SNAKE_CASE_						:					Optional[int]			   =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






