

"""simple docstring"""






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


snake_case_   :   int        =       logging.get_logger(__name__)

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







class       snake_case__  ( lowerCAmelCase_     ):
			SCREAMING_SNAKE_CASE__     				=						'''gptsan-japanese'''
			SCREAMING_SNAKE_CASE__     				=						[
			    '''past_key_values''',
			]
			SCREAMING_SNAKE_CASE__     				=						{
			    '''hidden_size''': '''d_model''',
			    '''num_attention_heads''': '''num_heads''',
			    '''num_hidden_layers''': '''num_layers''',
			}







			def __init__(			self			: List[str]			,  lowercase			: Dict=3_60_00			,  lowercase			: Tuple=12_80			,  lowercase			: Any=10_24			,  lowercase			: Optional[Any]=81_92			,  lowercase			: Optional[int]=40_96			,  lowercase			: Optional[Any]=1_28			,  lowercase			: Optional[int]=10			,  lowercase			: Any=0			,  lowercase			: Tuple=16			,  lowercase			: Any=16			,  lowercase			: Union[str, Any]=1_28			,  lowercase			: List[str]=0.0			,  lowercase			: Dict=1E-5			,  lowercase			: Tuple=False			,  lowercase			: int=0.0			,  lowercase			: Optional[Any]="float32"			,  lowercase			: Any=False			,  lowercase			: Tuple=False			,  lowercase			: Any=False			,  lowercase			: int=0.0_0_2			,  lowercase			: Any=False			,  lowercase			: Optional[int]=True			,  lowercase			: List[Any]=3_59_98			,  lowercase			: str=3_59_95			,  lowercase			: int=3_59_99			,  **lowercase			: str			,  ):





								'''simple docstring'''



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

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





"""simple docstring"""






def   lowercase_	(    _lowercase       :		List[str]							,      _lowercase       :		Tuple							,      _lowercase       :		int							,      _lowercase       :		Optional[Any]	):




					'''simple docstring'''






					UpperCAmelCase			:   int      =				[False] * len(_lowercase	)
					UpperCAmelCase			:   List[str]      =				[]
					queue.append(_lowercase	)
					UpperCAmelCase			:   List[Any]      =				True

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

					return visited[t]



def   lowercase_	(    _lowercase       :		Tuple							,      _lowercase       :		Dict							,      _lowercase       :		Optional[int]	):




					'''simple docstring'''






					UpperCAmelCase			:   List[Any]      =				[-1] * (len(_lowercase	))
					UpperCAmelCase			:   List[Any]      =				0
					while bfs(_lowercase							,      _lowercase							,      _lowercase							,      _lowercase	):
										UpperCAmelCase			:   List[str]      =				float("Inf"	)
										UpperCAmelCase			:   str      =				sink

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

										max_flow += path_flow
										UpperCAmelCase			:   List[str]      =				sink

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


snake_case_   :   Optional[Any]        =       [
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

snake_case_     ,      snake_case_   :   str        =       0, 5




print(ford_fulkerson(graph, source, sink))


