


class 			lowerCamelCase_					:





							def __init__(							self    ):
								a_     			=   [0]
								a_     			=   0





							def   __magic_name__      (							self			,       _SCREAMING_SNAKE_CASE    ):
								a_     			=   self.__heap[i]
								while i // 2 > 0:
									if self.__heap[i] > self.__heap[i // 2]:
										a_     			=   self.__heap[i // 2]
										a_     			=   temporary
									i //= 2





							def   __magic_name__      (							self			,       _SCREAMING_SNAKE_CASE    ):
								self.__heap.append(__snake_case    )
								self.__size += 1
								self.__swap_up(self.__size    )





							def   __magic_name__      (							self			,       _SCREAMING_SNAKE_CASE    ):
								while self.__size >= 2 * i:
									if 2 * i + 1 > self.__size:
										a_     			=   2 * i
									else:
										if self.__heap[2 * i] > self.__heap[2 * i + 1]:
											a_     			=   2 * i
										else:
											a_     			=   2 * i + 1
									a_     			=   self.__heap[i]
									if self.__heap[i] < self.__heap[bigger_child]:
										a_     			=   self.__heap[bigger_child]
										a_     			=   temporary
									a_     			=   bigger_child





							def   __magic_name__      (							self    ):
								a_     			=   self.__heap[1]
								a_     			=   self.__heap[self.__size]
								self.__size -= 1
								self.__heap.pop()
								self.__swap_down(1    )
								return max_value





							@property
							def   __magic_name__      (							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))


from typing import TYPE_CHECKING

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


lowerCAmelCase__             =		{
    """configuration_markuplm""": ["""MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarkupLMConfig"""],
    """feature_extraction_markuplm""": ["""MarkupLMFeatureExtractor"""],
    """processing_markuplm""": ["""MarkupLMProcessor"""],
    """tokenization_markuplm""": ["""MarkupLMTokenizer"""],
}

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

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase__             =		[
							    """MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MarkupLMForQuestionAnswering""",
							    """MarkupLMForSequenceClassification""",
							    """MarkupLMForTokenClassification""",
							    """MarkupLMModel""",
							    """MarkupLMPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_markuplm import MARKUPLM_PRETRAINED_CONFIG_ARCHIVE_MAP, MarkupLMConfig
							from .feature_extraction_markuplm import MarkupLMFeatureExtractor
							from .processing_markuplm import MarkupLMProcessor
							from .tokenization_markuplm import MarkupLMTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_markuplm_fast import MarkupLMTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_markuplm import (
														    MARKUPLM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MarkupLMForQuestionAnswering,
														    MarkupLMForSequenceClassification,
														    MarkupLMForTokenClassification,
														    MarkupLMModel,
														    MarkupLMPreTrainedModel,
														)


else:
							import sys

							lowerCAmelCase__             =		_LazyModule(__name__, globals()["""__file__"""], _import_structure)




