
'''simple docstring'''
class 				UpperCAmelCase_			:





 def __init__(      self):
     snake_case_	:      Tuple            =  [0]
     snake_case_	:      Dict            =  0





 def     snake_case__						(      self	,    lowercase_):
     snake_case_	:      int            =  self.__heap[i]
     while i // 2 > 0:
         if self.__heap[i] > self.__heap[i // 2]:
             snake_case_	:      str            =  self.__heap[i // 2]
             snake_case_	:      Optional[Any]            =  temporary
         i //= 2





 def     snake_case__						(      self	,    lowercase_):
     self.__heap.append(_UpperCamelCase)
     self.__size += 1
     self.__swap_up(self.__size)





 def     snake_case__						(      self	,    lowercase_):





     while self.__size >= 2 * i:
         if 2 * i + 1 > self.__size:
             snake_case_	:      Dict            =  2 * i
         else:
             if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                 snake_case_	:      Optional[Any]            =  2 * i
             else:
                 snake_case_	:      Optional[int]            =  2 * i + 1
         snake_case_	:      Any            =  self.__heap[i]
         if self.__heap[i] < self.__heap[bigger_child]:
             snake_case_	:      Dict            =  self.__heap[bigger_child]
             snake_case_	:      Dict            =  temporary
         snake_case_	:      List[str]            =  bigger_child





 def     snake_case__						(      self):
     snake_case_	:      Optional[int]            =  self.__heap[1]
     snake_case_	:      Any            =  self.__heap[self.__size]
     self.__size -= 1
     self.__heap.pop()
     self.__swap_down(1)
     return max_value





 @property
 def     snake_case__						(      self):
     return self.__heap[1:]





 def __len__(      self):
     return self.__size


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  # create an instance of BinaryHeap
  a_     =  BinaryHeap()
  binary_heap.insert(6)
  binary_heap.insert(10)
  binary_heap.insert(15)
  binary_heap.insert(12)
  # pop root(max-values because it is max heap)
  print(binary_heap.pop())  # 15
  print(binary_heap.pop())  # 12
  # get the list and size after operations
  print(binary_heap.get_list)
  print(len(binary_heap))

'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a_     =  {
    "configuration_splinter": ["SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP", "SplinterConfig"],
    "tokenization_splinter": ["SplinterTokenizer"],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_     =  ["SplinterTokenizerFast"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_     =  [
      "SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "SplinterForQuestionAnswering",
      "SplinterForPreTraining",
      "SplinterLayer",
      "SplinterModel",
      "SplinterPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
  from .tokenization_splinter import SplinterTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_splinter_fast import SplinterTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_splinter import (
        SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
        SplinterForPreTraining,
        SplinterForQuestionAnswering,
        SplinterLayer,
        SplinterModel,
        SplinterPreTrainedModel,
    )


else:
  import sys

  a_     =  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




