




"""simple docstring"""




from typing import TYPE_CHECKING

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


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

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

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

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__				:   Union[str, Any]   							=			[
					    "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

					UpperCAmelCase__				:   Tuple   							=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






"""simple docstring"""




def lowercase_  (       _snake_case       ,_snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	Any									=       index
							SCREAMING_SNAKE_CASE__						:	List[Any]									=       2 * index + 1
							SCREAMING_SNAKE_CASE__						:	Any									=       2 * index + 2
							if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
														SCREAMING_SNAKE_CASE__						:	str									=       left_index

							if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
														SCREAMING_SNAKE_CASE__						:	Any									=       right_index

							if largest != index:
														SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	Tuple									=       unsorted[index], unsorted[largest]
														heapify(_snake_case       ,_snake_case       ,_snake_case						)

def lowercase_  (       _snake_case						):
							SCREAMING_SNAKE_CASE__						:	List[Any]									=       len(_snake_case						)
							for i in range(n // 2 - 1       ,-1       ,-1						):
														heapify(_snake_case       ,_snake_case       ,_snake_case						)
							for i in range(n - 1       ,0       ,-1						):
														SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	Any									=       unsorted[i], unsorted[0]
														heapify(_snake_case       ,0       ,_snake_case						)
							return unsorted


if __name__ == "__main__":
					UpperCAmelCase__				:   Optional[Any]   							=			input('Enter numbers separated by a comma:\n').strip()
					UpperCAmelCase__				:   Optional[int]   							=			[int(item) for item in user_input.split(',')]
					print(heap_sort(unsorted))




