




"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCAmelCase__				:   List[str]   							=			{
    'configuration_esm': ['ESM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'EsmConfig'],
    'tokenization_esm': ['EsmTokenizer'],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__				:   Union[str, Any]   							=			[
					    'ESM_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'EsmForMaskedLM',
					    'EsmForSequenceClassification',
					    'EsmForTokenClassification',
					    'EsmModel',
					    'EsmPreTrainedModel',
					]
					UpperCAmelCase__				:   int   							=			['EsmForProteinFolding', 'EsmFoldPreTrainedModel']

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__				:   Tuple   							=			[
					    'TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'TFEsmForMaskedLM',
					    'TFEsmForSequenceClassification',
					    'TFEsmForTokenClassification',
					    'TFEsmModel',
					    'TFEsmPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig
					from .tokenization_esm import EsmTokenizer

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_esm import (
										    ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
										    EsmForMaskedLM,
										    EsmForSequenceClassification,
										    EsmForTokenClassification,
										    EsmModel,
										    EsmPreTrainedModel,
										)
										from .modeling_esmfold import EsmFoldPreTrainedModel, EsmForProteinFolding

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_esm import (
										    TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFEsmForMaskedLM,
										    TFEsmForSequenceClassification,
										    TFEsmForTokenClassification,
										    TFEsmModel,
										    TFEsmPreTrainedModel,
										)


else:
					import sys

					UpperCAmelCase__				:   Optional[Any]   							=			_LazyModule(__name__, globals()['__file__'], _import_structure)






"""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))




