





"""simple docstring"""
def 			__snake_case						(      __A ,__A ,__A    )		->				Union[str, Any]:
   lowercase    :			Union[str, Any]  =       index
   lowercase    :			Optional[Any]  =       2 * index + 1
   lowercase    :			int  =       2 * index + 2
   if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
      lowercase    :			List[Any]  =       left_index

   if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
      lowercase    :			Union[str, Any]  =       right_index

   if largest != index:
      lowercase  ,					lowercase    :			Dict  =       unsorted[index], unsorted[largest]
      heapify(__A ,__A ,__A    )




def 			__snake_case						(      __A    )		->				Any:
   lowercase    :			Dict  =       len(__A    )
   for i in range(n // 2 - 1 ,-1 ,-1    ):
      heapify(__A ,__A ,__A    )
   for i in range(n - 1 ,0 ,-1    ):
      lowercase  ,					lowercase    :			Dict  =       unsorted[i], unsorted[0]
      heapify(__A ,0 ,__A    )
   return unsorted


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









"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase:	int							      =logging.get_logger(__name__)

lowerCAmelCase:	int							      ={
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}
class lowerCamelCase__  (    __UpperCamelCase				):
   __UpperCAmelCase        =					"""qdqbert"""



   def __init__(       self      ,   snake_case=3_0_5_2_2      ,   snake_case=7_6_8      ,   snake_case=1_2      ,   snake_case=1_2      ,   snake_case=3_0_7_2      ,   snake_case="gelu"      ,   snake_case=0.1      ,   snake_case=0.1      ,   snake_case=5_1_2      ,   snake_case=2      ,   snake_case=0.02      ,   snake_case=1E-12      ,   snake_case=True      ,   snake_case=1      ,   snake_case=0      ,   snake_case=2      ,   **snake_case      ,   ) ->    List[str]:







      """simple docstring"""
      super().__init__(pad_token_id=snake_case      ,   bos_token_id=snake_case      ,   eos_token_id=snake_case      ,   **snake_case	)

      lowercase    :			Optional[Any]  =       vocab_size
      lowercase    :			int  =       max_position_embeddings
      lowercase    :			Dict  =       hidden_size
      lowercase    :			Union[str, Any]  =       num_hidden_layers
      lowercase    :			str  =       num_attention_heads
      lowercase    :			List[str]  =       intermediate_size
      lowercase    :			List[str]  =       hidden_act
      lowercase    :			List[str]  =       hidden_dropout_prob
      lowercase    :			Optional[Any]  =       attention_probs_dropout_prob
      lowercase    :			Optional[Any]  =       initializer_range
      lowercase    :			str  =       type_vocab_size
      lowercase    :			Optional[int]  =       layer_norm_eps
      lowercase    :			Optional[int]  =       use_cache


