
from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase      =logging.get_logger(__name__)

lowerCamelCase      ={
    "YituTech/conv-bert-base": "https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json",
    "YituTech/conv-bert-medium-small": (
        "https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json"
    ),
    "YituTech/conv-bert-small": "https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json",
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}




class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  '''convbert'''






     def __init__(							self						,						__SCREAMING_SNAKE_CASE=3_0_5_2_2						,						__SCREAMING_SNAKE_CASE=7_6_8						,						__SCREAMING_SNAKE_CASE=1_2						,						__SCREAMING_SNAKE_CASE=1_2						,						__SCREAMING_SNAKE_CASE=3_0_7_2						,						__SCREAMING_SNAKE_CASE="gelu"						,						__SCREAMING_SNAKE_CASE=0.1						,						__SCREAMING_SNAKE_CASE=0.1						,						__SCREAMING_SNAKE_CASE=5_1_2						,						__SCREAMING_SNAKE_CASE=2						,						__SCREAMING_SNAKE_CASE=0.02						,						__SCREAMING_SNAKE_CASE=1e-12						,						__SCREAMING_SNAKE_CASE=1						,						__SCREAMING_SNAKE_CASE=0						,						__SCREAMING_SNAKE_CASE=2						,						__SCREAMING_SNAKE_CASE=7_6_8						,						__SCREAMING_SNAKE_CASE=2						,						__SCREAMING_SNAKE_CASE=9						,						__SCREAMING_SNAKE_CASE=1						,						__SCREAMING_SNAKE_CASE=None						,						**__SCREAMING_SNAKE_CASE						,						)  ->   Dict:




           """simple docstring"""







           super().__init__(
               pad_token_id=__SCREAMING_SNAKE_CASE						,						bos_token_id=__SCREAMING_SNAKE_CASE						,						eos_token_id=__SCREAMING_SNAKE_CASE						,						**__SCREAMING_SNAKE_CASE						,						)

           UpperCamelCase__    :   Any					=				vocab_size
           UpperCamelCase__    :   int					=				hidden_size
           UpperCamelCase__    :   Tuple					=				num_hidden_layers
           UpperCamelCase__    :   Union[str, Any]					=				num_attention_heads
           UpperCamelCase__    :   List[Any]					=				intermediate_size
           UpperCamelCase__    :   List[Any]					=				hidden_act
           UpperCamelCase__    :   Union[str, Any]					=				hidden_dropout_prob
           UpperCamelCase__    :   Union[str, Any]					=				attention_probs_dropout_prob
           UpperCamelCase__    :   int					=				max_position_embeddings
           UpperCamelCase__    :   Union[str, Any]					=				type_vocab_size
           UpperCamelCase__    :   List[Any]					=				initializer_range
           UpperCamelCase__    :   List[Any]					=				layer_norm_eps
           UpperCamelCase__    :   Any					=				embedding_size
           UpperCamelCase__    :   Dict					=				head_ratio
           UpperCamelCase__    :   List[Any]					=				conv_kernel_size
           UpperCamelCase__    :   Optional[Any]					=				num_groups
           UpperCamelCase__    :   Any					=				classifier_dropout




class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""







     @property
     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Mapping[str, Mapping[int, str]]:




           """simple docstring"""







           if self.task == "multiple-choice":
                 UpperCamelCase__    :   int					=				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                 UpperCamelCase__    :   List[str]					=				{0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
                   ('''token_type_ids''', dynamic_axis),
               ]  )




lowerCamelCase      ={"a": ["c", "b"], "b": ["d", "e"], "c": [], "d": [], "e": []}
lowerCamelCase      =["a", "b", "c", "d", "e"]


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ ,		UpperCamelCase__ ,		UpperCamelCase__		):
      UpperCamelCase__    :   str					=				start
      # add current to visited
      visited.append(UpperCamelCase__		)
      UpperCamelCase__    :   int					=				edges[current]
      for neighbor in neighbors:
            # if neighbor not in visited, visit
            if neighbor not in visited:
                  UpperCamelCase__    :   int					=				topological_sort(UpperCamelCase__ ,		UpperCamelCase__ ,		UpperCamelCase__		)
    # if all neighbors visited add current to sort
      sort.append(UpperCamelCase__		)
      # if all vertices haven't been visited select a new one to visit
      if len(UpperCamelCase__		) != len(UpperCamelCase__		):
            for vertice in vertices:
                  if vertice not in visited:
                        UpperCamelCase__    :   Optional[int]					=				topological_sort(UpperCamelCase__ ,		UpperCamelCase__ ,		UpperCamelCase__		)
    # return sort
      return sort


if __name__ == "__main__":
    lowerCamelCase      =topological_sort("a", [], [])
    print(sort)


