






'''simple docstring'''

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


UpperCAmelCase__						:Dict          =			logging.get_logger(__name__)

UpperCAmelCase__						:Union[str, Any]          =			{
    """tanreinama/GPTSAN-2.8B-spout_is_uniform""": (
        """https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json"""
    ),
}







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     Tuple   		=			'gptsan-japanese'
       snake_case__    :     Optional[int]   		=			[
           'past_key_values',
       ]
       snake_case__    :     str   		=			{
           'hidden_size': 'd_model',
           'num_attention_heads': 'num_heads',
           'num_hidden_layers': 'num_layers',
       }




       def __init__(					self      : Dict	,    A__      : Dict=36000	,    A__      : str=1280	,    A__      : Optional[int]=1024	,    A__      : Optional[Any]=8192	,    A__      : Any=4096	,    A__      : List[Any]=128	,    A__      : int=10	,    A__      : List[Any]=0	,    A__      : Optional[int]=16	,    A__      : Any=16	,    A__      : Optional[int]=128	,    A__      : Optional[Any]=0.0	,    A__      : Union[str, Any]=1e-5	,    A__      : Dict=False	,    A__      : Optional[Any]=0.0	,    A__      : Tuple="float32"	,    A__      : List[str]=False	,    A__      : List[Any]=False	,    A__      : Dict=False	,    A__      : int=0.002	,    A__      : List[str]=False	,    A__      : Tuple=True	,    A__      : List[Any]=35998	,    A__      : Any=35995	,    A__      : Optional[Any]=35999	,    **A__      : Optional[Any]	,    ):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				vocab_size
            __lowerCamelCase						:       List[str]				   =				max_position_embeddings
            __lowerCamelCase						:       List[str]				   =				d_model
            __lowerCamelCase						:       Dict				   =				d_ff
            __lowerCamelCase						:       str				   =				d_ext
            __lowerCamelCase						:       Optional[int]				   =				d_spout
            __lowerCamelCase						:       Tuple				   =				num_switch_layers
            __lowerCamelCase						:       Tuple				   =				num_ext_layers
            __lowerCamelCase						:       Union[str, Any]				   =				num_switch_layers + num_ext_layers
            __lowerCamelCase						:       Tuple				   =				num_heads
            __lowerCamelCase						:       Tuple				   =				num_experts
            __lowerCamelCase						:       Union[str, Any]				   =				expert_capacity
            __lowerCamelCase						:       Any				   =				dropout_rate
            __lowerCamelCase						:       str				   =				layer_norm_epsilon
            __lowerCamelCase						:       Dict				   =				router_bias
            __lowerCamelCase						:       Union[str, Any]				   =				router_jitter_noise
            __lowerCamelCase						:       Any				   =				router_dtype
            __lowerCamelCase						:       List[Any]				   =				router_ignore_padding_tokens
            __lowerCamelCase						:       str				   =				output_hidden_states
            __lowerCamelCase						:       int				   =				output_attentions
            __lowerCamelCase						:       Union[str, Any]				   =				initializer_factor
            __lowerCamelCase						:       int				   =				output_router_logits
            __lowerCamelCase						:       Dict				   =				use_cache

            super().__init__(
                separator_token_id=A__	,    pad_token_id=A__	,    eos_token_id=A__	,    **A__	,    )











'''simple docstring'''

def     __lowercase  (_lowercase,						_lowercase,						_lowercase,						_lowercase     )   ->     Union[str, Any]:


     """simple docstring"""
     # Return True if there is node that has not iterated.
     __lowerCamelCase						:       Optional[Any]				   =				[False] * len(_lowercase     )
     __lowerCamelCase						:       Dict				   =				[]
     queue.append(_lowercase     )
     __lowerCamelCase						:       Optional[int]				   =				True

     while queue:
          __lowerCamelCase						:       Optional[Any]				   =				queue.pop(0     )
          for ind in range(len(graph[u]     )     ):
               if visited[ind] is False and graph[u][ind] > 0:
                    queue.append(_lowercase     )
                    __lowerCamelCase						:       List[str]				   =				True
                    __lowerCamelCase						:       str				   =				u

     return visited[t]
def     __lowercase  (_lowercase,						_lowercase,						_lowercase     )   ->     Optional[Any]:


     """simple docstring"""
     # This array is filled by BFS and to store path
     __lowerCamelCase						:       Any				   =				[-1] * (len(_lowercase     ))
     __lowerCamelCase						:       Optional[int]				   =				0
     while bfs(_lowercase,						_lowercase,						_lowercase,						_lowercase     ):
          __lowerCamelCase						:       List[Any]				   =				float("""Inf"""     )
          __lowerCamelCase						:       Union[str, Any]				   =				sink

          while s != source:
               # Find the minimum value in select path
               __lowerCamelCase						:       Optional[int]				   =				min(_lowercase,						graph[parent[s]][s]     )
               __lowerCamelCase						:       Union[str, Any]				   =				parent[s]

          max_flow += path_flow
          __lowerCamelCase						:       str				   =				sink

          while v != source:
               __lowerCamelCase						:       List[Any]				   =				parent[v]
               graph[u][v] -= path_flow
               graph[v][u] += path_flow
               __lowerCamelCase						:       Dict				   =				parent[v]
     return max_flow


UpperCAmelCase__						:str          =			[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

UpperCAmelCase__       ,				UpperCAmelCase__						:Optional[Any]          =			0, 5
print(ford_fulkerson(graph, source, sink))



