






"""simple docstring"""



import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


A__			:							int					   =   logging.get_logger(__name__)

A__			:							List[Any]					   =   {
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class   lowercase__     (				snake_case__  ):
			_UpperCAmelCase						:Any       =					"""segformer"""


			def __init__( self	:    Optional[Any]  ,			snake_case__	:    Dict=3  ,			snake_case__	:    int=4  ,			snake_case__	:    Tuple=[2, 2, 2, 2]  ,			snake_case__	:    int=[8, 4, 2, 1]  ,			snake_case__	:    Optional[int]=[32, 64, 160, 256]  ,			snake_case__	:    List[str]=[7, 3, 3, 3]  ,			snake_case__	:    Optional[Any]=[4, 2, 2, 2]  ,			snake_case__	:    List[str]=[1, 2, 5, 8]  ,			snake_case__	:    Optional[int]=[4, 4, 4, 4]  ,			snake_case__	:    Optional[int]="gelu"  ,			snake_case__	:    Optional[Any]=0.0  ,			snake_case__	:    int=0.0  ,			snake_case__	:    List[Any]=0.1  ,			snake_case__	:    Dict=0.02  ,			snake_case__	:    List[str]=0.1  ,			snake_case__	:    Optional[Any]=1E-6  ,			snake_case__	:    str=256  ,			snake_case__	:    int=255  ,			**snake_case__	:    List[str]  ,			):
										super().__init__(**snake_case__   )

										if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
																	warnings.warn(
																	    "Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"
																	    " removed, as the behaviour will default to that of reshape_last_stage = True."  ,			snake_case__  ,			)

										lowerCamelCase_			:				Optional[int]										=num_channels
										lowerCamelCase_			:				Tuple										=num_encoder_blocks
										lowerCamelCase_			:				Optional[int]										=depths
										lowerCamelCase_			:				Tuple										=sr_ratios
										lowerCamelCase_			:				List[Any]										=hidden_sizes
										lowerCamelCase_			:				int										=patch_sizes
										lowerCamelCase_			:				List[str]										=strides
										lowerCamelCase_			:				List[Any]										=mlp_ratios
										lowerCamelCase_			:				List[Any]										=num_attention_heads
										lowerCamelCase_			:				Any										=hidden_act
										lowerCamelCase_			:				Optional[Any]										=hidden_dropout_prob
										lowerCamelCase_			:				int										=attention_probs_dropout_prob
										lowerCamelCase_			:				Any										=classifier_dropout_prob
										lowerCamelCase_			:				str										=initializer_range
										lowerCamelCase_			:				Optional[int]										=drop_path_rate
										lowerCamelCase_			:				Optional[Any]										=layer_norm_eps
										lowerCamelCase_			:				int										=decoder_hidden_size
										lowerCamelCase_			:				Optional[int]										=kwargs.get("reshape_last_stage"  ,			snake_case__   )
										lowerCamelCase_			:				int										=semantic_loss_ignore_index







class   lowercase__     (				snake_case__  ):
			_UpperCAmelCase						:Union[str, Any]       =					version.parse("1.11"  )


			@property
			def       UpperCAmelCase__		( self	:    str   ):
										return OrderedDict(
										    [
										        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
										    ]   )


			@property
			def       UpperCAmelCase__		( self	:    List[Any]   ):
										return 1E-4


			@property
			def       UpperCAmelCase__		( self	:    List[str]   ):
										return 12







def     lowercase	(    a     , a     , a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:int				     =						[False] * len(a )
		SCREAMING_SNAKE_CASE_				:List[Any]				     =						[]
		queue.append(a )
		SCREAMING_SNAKE_CASE_				:int				     =						True

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

		return visited[t]


def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




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

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

				max_flow += path_flow
				SCREAMING_SNAKE_CASE_				:Dict				     =						sink

				while v != source:
						SCREAMING_SNAKE_CASE_				:int				     =						parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						SCREAMING_SNAKE_CASE_				:Any				     =						parent[v]
		return max_flow


SCREAMING_SNAKE_CASE__     					=			[
    [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],
]

SCREAMING_SNAKE_CASE__					,    SCREAMING_SNAKE_CASE__     					=			0, 5
print(ford_fulkerson(graph, source, sink))






