






def       __lowerCAmelCase      (						__snake_case					, __snake_case					, __snake_case					, __snake_case       ):

     # 1. Validate that path exists between current and next vertices
     if graph[path[curr_ind - 1]][next_ver] == 0:
          return False

     # 2. Validate that next vertex is not already in path
     return not any(vertex == next_ver for vertex in path       )





def       __lowerCAmelCase      (						__snake_case					, __snake_case					, __snake_case       ):

     # Base Case
     if curr_ind == len(__snake_case       ):
          # return whether path exists between current and starting vertices
          return graph[path[curr_ind - 1]][path[0]] == 1

     # Recursive Step
     for next_ver in range(0					, len(__snake_case       )       ):
          if valid_connection(__snake_case					, __snake_case					, __snake_case					, __snake_case       ):
               # Insert current vertex  into path as next transition
               __lowerCAmelCase								=					next_ver
               # Validate created path
               if util_hamilton_cycle(__snake_case					, __snake_case					, curr_ind + 1       ):
                    return True
               # Backtrack
               __lowerCAmelCase								=					-1
     return False





def       __lowerCAmelCase      (						__snake_case					, __snake_case = 0       ):
     __lowerCAmelCase								=					[-1] * (len(__snake_case       ) + 1)
     # initialize start and end of path with starting index
     __lowerCAmelCase								=					__lowerCAmelCase								=					start_index
     # evaluate and if we find answer return path either return empty array
     return path if util_hamilton_cycle(__snake_case					, __snake_case					, 1       ) else []














from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase			:					List[str]         =	logging.get_logger(__name__)

lowerCamelCase			:					Dict         =	{
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}



class 							_UpperCamelCase			(a_			):
      snake_case_  =							"""biogpt"""


      def __init__(	self					,						__UpperCamelCase=4_2_3_8_4					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=2_4					,						__UpperCamelCase=1_6					,						__UpperCamelCase=4_0_9_6					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=0.1					,						__UpperCamelCase=0.1					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-12					,						__UpperCamelCase=True					,						__UpperCamelCase=True					,						__UpperCamelCase=0.0					,						__UpperCamelCase=0.0					,						__UpperCamelCase=1					,						__UpperCamelCase=0					,						__UpperCamelCase=2					,						**__UpperCamelCase					,						)->	Optional[Any]:
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					max_position_embeddings
           __lowerCAmelCase								=					hidden_size
           __lowerCAmelCase								=					num_hidden_layers
           __lowerCAmelCase								=					num_attention_heads
           __lowerCAmelCase								=					intermediate_size
           __lowerCAmelCase								=					hidden_act
           __lowerCAmelCase								=					hidden_dropout_prob
           __lowerCAmelCase								=					attention_probs_dropout_prob
           __lowerCAmelCase								=					initializer_range
           __lowerCAmelCase								=					layer_norm_eps
           __lowerCAmelCase								=					scale_embedding
           __lowerCAmelCase								=					use_cache
           __lowerCAmelCase								=					layerdrop
           __lowerCAmelCase								=					activation_dropout
           super().__init__(pad_token_id=__UpperCamelCase					,						bos_token_id=__UpperCamelCase					,						eos_token_id=__UpperCamelCase					,						**__UpperCamelCase	)






