


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__       :	str     				=logging.get_logger(__name__)

lowerCAmelCase__       :	Tuple     				={
    'squeezebert/squeezebert-uncased': (
        'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
    ),
    'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
    'squeezebert/squeezebert-mnli-headless': (
        'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
    ),
}







class      __lowercase  (_a   ):





							"""simple docstring"""







							_UpperCAmelCase     =		SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
							_UpperCAmelCase     =		"""squeezebert"""






							def __init__(	self       ,		lowerCAmelCase__=3_0_5_2_2       ,		lowerCAmelCase__=7_6_8       ,		lowerCAmelCase__=1_2       ,		lowerCAmelCase__=1_2       ,		lowerCAmelCase__=3_0_7_2       ,		lowerCAmelCase__="gelu"       ,		lowerCAmelCase__=0.1       ,		lowerCAmelCase__=0.1       ,		lowerCAmelCase__=5_1_2       ,		lowerCAmelCase__=2       ,		lowerCAmelCase__=0.02       ,		lowerCAmelCase__=1E-12       ,		lowerCAmelCase__=0       ,		lowerCAmelCase__=7_6_8       ,		lowerCAmelCase__=4       ,		lowerCAmelCase__=4       ,		lowerCAmelCase__=4       ,		lowerCAmelCase__=1       ,		lowerCAmelCase__=4       ,		lowerCAmelCase__=4       ,		**lowerCAmelCase__       ,		):





										"""simple docstring"""




										super().__init__(pad_token_id=lowerCAmelCase_       ,		**lowerCAmelCase_    )

										SCREAMING_SNAKE_CASE_						:			int       						= vocab_size
										SCREAMING_SNAKE_CASE_						:			Union[str, Any]       						= hidden_size
										SCREAMING_SNAKE_CASE_						:			int       						= num_hidden_layers
										SCREAMING_SNAKE_CASE_						:			Any       						= num_attention_heads
										SCREAMING_SNAKE_CASE_						:			Optional[Any]       						= hidden_act
										SCREAMING_SNAKE_CASE_						:			Any       						= intermediate_size
										SCREAMING_SNAKE_CASE_						:			List[Any]       						= hidden_dropout_prob
										SCREAMING_SNAKE_CASE_						:			str       						= attention_probs_dropout_prob
										SCREAMING_SNAKE_CASE_						:			Union[str, Any]       						= max_position_embeddings
										SCREAMING_SNAKE_CASE_						:			int       						= type_vocab_size
										SCREAMING_SNAKE_CASE_						:			Optional[int]       						= initializer_range
										SCREAMING_SNAKE_CASE_						:			str       						= layer_norm_eps
										SCREAMING_SNAKE_CASE_						:			List[Any]       						= embedding_size
										SCREAMING_SNAKE_CASE_						:			Union[str, Any]       						= q_groups
										SCREAMING_SNAKE_CASE_						:			List[Any]       						= k_groups
										SCREAMING_SNAKE_CASE_						:			int       						= v_groups
										SCREAMING_SNAKE_CASE_						:			Optional[int]       						= post_attention_groups
										SCREAMING_SNAKE_CASE_						:			int       						= intermediate_groups
										SCREAMING_SNAKE_CASE_						:			Optional[int]       						= output_groups







class      __lowercase  (_a   ):





							"""simple docstring"""







							@property
							def  UpperCamelCase__			(	self    ):





										"""simple docstring"""




										if self.task == "multiple-choice":
													SCREAMING_SNAKE_CASE_						:			Optional[Any]       						= {0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
													SCREAMING_SNAKE_CASE_						:			Dict       						= {0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										        ('token_type_ids', dynamic_axis),
										    ]    )











'''simple docstring'''


def 		snake_case_    (UpperCamelCase       :  List[str] ,						UpperCamelCase       :  List[Any] ,						UpperCamelCase       :  Union[str, Any]      ):





							'''simple docstring'''


							_a	     =				index
							_a	     =				2 * index + 1
							_a	     =				2 * index + 2
							if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
														_a	     =				left_index

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

							if largest != index:
														_a     ,							_a	     =				unsorted[index], unsorted[largest]
														heapify(UpperCamelCase ,						UpperCamelCase ,						UpperCamelCase      )
def 		snake_case_    (UpperCamelCase       :  Union[str, Any]      ):





							'''simple docstring'''


							_a	     =				len(UpperCamelCase      )
							for i in range(n // 2 - 1 ,						-1 ,						-1      ):
														heapify(UpperCamelCase ,						UpperCamelCase ,						UpperCamelCase      )
							for i in range(n - 1 ,						0 ,						-1      ):
														_a     ,							_a	     =				unsorted[i], unsorted[0]
														heapify(UpperCamelCase ,						0 ,						UpperCamelCase      )
							return unsorted


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

