


'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

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


__lowercase     :						Optional[int]	=     logging.get_logger(__name__)

__lowercase     :						Union[str, Any]	=     {
    'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json',
    'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json',
    'junnyu/roformer_chinese_char_small': (
        'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'
    ),
    'junnyu/roformer_chinese_char_base': (
        'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'
    ),
    'junnyu/roformer_small_discriminator': (
        'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'
    ),
    'junnyu/roformer_small_generator': (
        'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}





class 							__UpperCamelCase    (		lowerCAmelCase_ ):
	A_           =   "roformer"




	def __init__(       self						,    __a=5_0000						,    __a=None						,    __a=768						,    __a=12						,    __a=12						,    __a=3072						,    __a="gelu"						,    __a=0.1						,    __a=0.1						,    __a=1536						,    __a=2						,    __a=0.02						,    __a=1E-1_2						,    __a=0						,    __a=False						,    __a=True						,    **__a						,    ):

						'''simple docstring'''





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

						__a      :	Any    =  vocab_size
						__a      :	Optional[int]    =  hidden_size if embedding_size is None else embedding_size
						__a      :	Optional[Any]    =  hidden_size
						__a      :	List[str]    =  num_hidden_layers
						__a      :	Optional[Any]    =  num_attention_heads
						__a      :	List[str]    =  hidden_act
						__a      :	Optional[Any]    =  intermediate_size
						__a      :	Any    =  hidden_dropout_prob
						__a      :	str    =  attention_probs_dropout_prob
						__a      :	List[str]    =  max_position_embeddings
						__a      :	Union[str, Any]    =  type_vocab_size
						__a      :	Optional[Any]    =  initializer_range
						__a      :	Dict    =  layer_norm_eps
						__a      :	Dict    =  rotary_value
						__a      :	Tuple    =  use_cache





class 							__UpperCamelCase    (		lowerCAmelCase_ ):




	@property
	def 				__UpperCAmelCase							(       self							):

						'''simple docstring'''





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







'''simple docstring'''



__lowercase     :						Optional[Any]	=     {'a': ['c', 'b'], 'b': ['d', 'e'], 'c': [], 'd': [], 'e': []}
__lowercase     :						List[str]	=     ['a', 'b', 'c', 'd', 'e']






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE				:       List[Any]						,				_SCREAMING_SNAKE_CASE				:       Any						,				_SCREAMING_SNAKE_CASE				:       List[str]       ):
					__a      :	Any    =  start
					# add current to visited
					visited.append(_SCREAMING_SNAKE_CASE       )
					__a      :	Union[str, Any]    =  edges[current]
					for neighbor in neighbors:
										# if neighbor not in visited, visit
										if neighbor not in visited:
															__a      :	Dict    =  topological_sort(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
    # if all neighbors visited add current to sort
					sort.append(_SCREAMING_SNAKE_CASE       )
					# if all vertices haven't been visited select a new one to visit
					if len(_SCREAMING_SNAKE_CASE       ) != len(_SCREAMING_SNAKE_CASE       ):
										for vertice in vertices:
															if vertice not in visited:
																				__a      :	List[Any]    =  topological_sort(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )
    # return sort
					return sort


if __name__ == "__main__":
	__lowercase     :						Union[str, Any]	=     topological_sort('a', [], [])
	print(sort)



