





class 				_UpperCamelCase       :

       def __init__(		self:			List[str]		)							->			int:




              """simple docstring"""


              UpperCamelCase_ 							=	[0]
              UpperCamelCase_ 							=	0

       def lowercase			(		self:			Optional[int]       , _SCREAMING_SNAKE_CASE:			int		)							->			None:




              """simple docstring"""


              UpperCamelCase_ 							=	self.__heap[i]
              while i // 2 > 0:
                     if self.__heap[i] > self.__heap[i // 2]:
                            UpperCamelCase_ 							=	self.__heap[i // 2]
                            UpperCamelCase_ 							=	temporary
                     i //= 2

       def lowercase			(		self:			List[Any]       , _SCREAMING_SNAKE_CASE:			int		)							->			None:




              """simple docstring"""


              self.__heap.append(_SCREAMING_SNAKE_CASE		)
              self.__size += 1
              self.__swap_up(self.__size		)

       def lowercase			(		self:			List[str]       , _SCREAMING_SNAKE_CASE:			int		)							->			None:




              """simple docstring"""


              while self.__size >= 2 * i:
                     if 2 * i + 1 > self.__size:
                            UpperCamelCase_ 							=	2 * i
                     else:
                            if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                                   UpperCamelCase_ 							=	2 * i
                            else:
                                   UpperCamelCase_ 							=	2 * i + 1
                     UpperCamelCase_ 							=	self.__heap[i]
                     if self.__heap[i] < self.__heap[bigger_child]:
                            UpperCamelCase_ 							=	self.__heap[bigger_child]
                            UpperCamelCase_ 							=	temporary
                     UpperCamelCase_ 							=	bigger_child

       def lowercase			(		self:			Union[str, Any]		)							->			int:




              """simple docstring"""


              UpperCamelCase_ 							=	self.__heap[1]
              UpperCamelCase_ 							=	self.__heap[self.__size]
              self.__size -= 1
              self.__heap.pop()
              self.__swap_down(1		)
              return max_value

       @property
       def lowercase			(		self:			Optional[int]		)							->			int:




              """simple docstring"""


              return self.__heap[1:]



       def __len__(		self:			Any		)							->			Tuple:




              """simple docstring"""


              return self.__size


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     # create an instance of BinaryHeap
     _UpperCAmelCase										=					BinaryHeap()
     binary_heap.insert(6)
     binary_heap.insert(1_0)
     binary_heap.insert(1_5)
     binary_heap.insert(1_2)
     # 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_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCamelCase									=	{
    "configuration_layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMOnnxConfig"],
    "tokenization_layoutlm": ["LayoutLMTokenizer"],
}

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

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase									=	[
				    "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "LayoutLMForMaskedLM",
				    "LayoutLMForSequenceClassification",
				    "LayoutLMForTokenClassification",
				    "LayoutLMForQuestionAnswering",
				    "LayoutLMModel",
				    "LayoutLMPreTrainedModel",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase									=	[
				    "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "TFLayoutLMForMaskedLM",
				    "TFLayoutLMForSequenceClassification",
				    "TFLayoutLMForTokenClassification",
				    "TFLayoutLMForQuestionAnswering",
				    "TFLayoutLMMainLayer",
				    "TFLayoutLMModel",
				    "TFLayoutLMPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
				from .tokenization_layoutlm import LayoutLMTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_layoutlm import (
								    LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
								    LayoutLMForMaskedLM,
								    LayoutLMForQuestionAnswering,
								    LayoutLMForSequenceClassification,
								    LayoutLMForTokenClassification,
								    LayoutLMModel,
								    LayoutLMPreTrainedModel,
								)
				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_layoutlm import (
								    TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFLayoutLMForMaskedLM,
								    TFLayoutLMForQuestionAnswering,
								    TFLayoutLMForSequenceClassification,
								    TFLayoutLMForTokenClassification,
								    TFLayoutLMMainLayer,
								    TFLayoutLMModel,
								    TFLayoutLMPreTrainedModel,
								)

else:
				import sys

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





