

from __future__ import annotations

A__										=      [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     :					Union[str, Any]  ,	A_     :					Dict						)       ->			None:
      SCREAMING_SNAKE_CASE__         =    -1
      SCREAMING_SNAKE_CASE__         =    -1
      SCREAMING_SNAKE_CASE__         =    [-1] * length
      SCREAMING_SNAKE_CASE__         =    None
      SCREAMING_SNAKE_CASE__         =    None







  def __repr__(						self     :					Optional[int]						)       ->			str:
      return f"Node(min_value={self.minn} max_value={self.maxx})"





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

    SCREAMING_SNAKE_CASE__         =    []
    SCREAMING_SNAKE_CASE__         =    []

    for index, num in enumerate(A__						):
        if num <= pivot:
            left_arr.append(A__						)
        else:
            right_arr.append(A__						)
        SCREAMING_SNAKE_CASE__         =    len(A__						)
    SCREAMING_SNAKE_CASE__         =    build_tree(A__						)
    SCREAMING_SNAKE_CASE__         =    build_tree(A__						)
    return root





def 				__a							(       __A			,							__A			,							__A						):
    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
    SCREAMING_SNAKE_CASE__         =    (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			,							A__			,							node.map_left[index] - 1						)
    else:
        # go to the right subtree and map index to the right subtree
        return rank_till_index(node.right			,							A__			,							index - node.map_left[index]						)





def 				__a							(       __A			,							__A			,							__A			,							__A						):
    if start > end:
        return 0
    SCREAMING_SNAKE_CASE__         =    rank_till_index(A__			,							A__			,							A__						)
    SCREAMING_SNAKE_CASE__         =    rank_till_index(A__			,							A__			,							start - 1						)
    return rank_till_end - rank_before_start





def 				__a							(       __A			,							__A			,							__A			,							__A						):
    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]
    SCREAMING_SNAKE_CASE__         =    node.map_left[end] - (
        node.map_left[start - 1] if start else 0
    )
    if num_elements_in_left_tree > index:
        return quantile(
            node.left			,							A__			,							(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 				__a							(       __A			,							__A			,							__A			,							__A			,							__A						):
    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
    SCREAMING_SNAKE_CASE__         =    range_counting(
        node.left			,							(node.map_left[start - 1] if start else 0)			,							node.map_left[end] - 1			,							A__			,							A__			,							)
    SCREAMING_SNAKE_CASE__         =    range_counting(
        node.right			,							start - (node.map_left[start - 1] if start else 0)			,							end - node.map_left[end]			,							A__			,							A__			,							)
    return left + right


if __name__ == "__main__":
  import doctest

  doctest.testmod()



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__	:  int						=  {
    '''configuration_switch_transformers''': [
        '''SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''SwitchTransformersConfig''',
        '''SwitchTransformersOnnxConfig''',
    ]
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__	:  List[Any]						=  [
				    '''SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''SwitchTransformersEncoderModel''',
				    '''SwitchTransformersForConditionalGeneration''',
				    '''SwitchTransformersModel''',
				    '''SwitchTransformersPreTrainedModel''',
				    '''SwitchTransformersTop1Router''',
				    '''SwitchTransformersSparseMLP''',
				]


if TYPE_CHECKING:
				from .configuration_switch_transformers import (
				    SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    SwitchTransformersConfig,
				    SwitchTransformersOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_switch_transformers import (
								    SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
								    SwitchTransformersEncoderModel,
								    SwitchTransformersForConditionalGeneration,
								    SwitchTransformersModel,
								    SwitchTransformersPreTrainedModel,
								    SwitchTransformersSparseMLP,
								    SwitchTransformersTopaRouter,
								)


else:
				import sys

				lowerCAmelCase__	:  Union[str, Any]						=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


