UpperCAmelCase_								=       [
    [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],
]

def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_       ,					lowerCAmelCase_       ,					lowerCAmelCase_   )		->						List[str]:




       '''simple docstring'''






       _A=	[False] * len(__SCREAMING_SNAKE_CASE   )
       _A=	[s]
       _A=	True

       while queue:
              _A=	queue.pop(0   )
              for ind in range(len(graph[u]   )   ):
                     if visited[ind] is False and graph[u][ind] > 0:
                            queue.append(__SCREAMING_SNAKE_CASE   )
                            _A=	True
                            _A=	u

       return visited[t]

def 							UpperCamelCase				(    lowerCAmelCase_       ,					lowerCAmelCase_       ,					lowerCAmelCase_   )		->						Dict:




       '''simple docstring'''






       _A=	[-1] * (len(__SCREAMING_SNAKE_CASE   ))
       _A=	0
       _A=	[]
       _A=	[i[:] for i in graph]  # Record original cut, copy.
       while bfs(__SCREAMING_SNAKE_CASE       ,					__SCREAMING_SNAKE_CASE       ,					__SCREAMING_SNAKE_CASE       ,					__SCREAMING_SNAKE_CASE   ):
              _A=	float('Inf'   )
              _A=	sink

              while s != source:
                     # Find the minimum value in select path
                     _A=	min(__SCREAMING_SNAKE_CASE       ,					graph[parent[s]][s]   )
                     _A=	parent[s]

              max_flow += path_flow
              _A=	sink

              while v != source:
                     _A=	parent[v]
                     graph[u][v] -= path_flow
                     graph[v][u] += path_flow
                     _A=	parent[v]

       for i in range(len(__SCREAMING_SNAKE_CASE   )   ):
              for j in range(len(graph[0]   )   ):
                     if graph[i][j] == 0 and temp[i][j] > 0:
                            res.append((i, j)   )

       return res


if __name__ == "__main__":
      print(mincut(test_graph, source=0, sink=5))
from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_								=							logging.get_logger(__name__)

UpperCAmelCase_								=							{
    '''YituTech/conv-bert-base''': '''https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json''',
    '''YituTech/conv-bert-medium-small''': (
        '''https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'''
    ),
    '''YituTech/conv-bert-small''': '''https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json''',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}





class      lowerCAmelCase						(					_a			):
     _SCREAMING_SNAKE_CASE     :     List[str]		="""convbert"""



     def __init__(					self				,      lowerCAmelCase__=30522				,      lowerCAmelCase__=768				,      lowerCAmelCase__=12				,      lowerCAmelCase__=12				,      lowerCAmelCase__=3072				,      lowerCAmelCase__="gelu"				,      lowerCAmelCase__=0.1				,      lowerCAmelCase__=0.1				,      lowerCAmelCase__=512				,      lowerCAmelCase__=2				,      lowerCAmelCase__=0.02				,      lowerCAmelCase__=1E-12				,      lowerCAmelCase__=1				,      lowerCAmelCase__=0				,      lowerCAmelCase__=2				,      lowerCAmelCase__=768				,      lowerCAmelCase__=2				,      lowerCAmelCase__=9				,      lowerCAmelCase__=1				,      lowerCAmelCase__=None				,      **lowerCAmelCase__				,      ):
            super().__init__(
                pad_token_id=lowerCAmelCase__				,      bos_token_id=lowerCAmelCase__				,      eos_token_id=lowerCAmelCase__				,      **lowerCAmelCase__				,      )

            _A=	vocab_size
            _A=	hidden_size
            _A=	num_hidden_layers
            _A=	num_attention_heads
            _A=	intermediate_size
            _A=	hidden_act
            _A=	hidden_dropout_prob
            _A=	attention_probs_dropout_prob
            _A=	max_position_embeddings
            _A=	type_vocab_size
            _A=	initializer_range
            _A=	layer_norm_eps
            _A=	embedding_size
            _A=	head_ratio
            _A=	conv_kernel_size
            _A=	num_groups
            _A=	classifier_dropout





class      lowerCAmelCase						(					_a			):



     @property
     def 			a__  (					self       ):
            if self.task == "multiple-choice":
                   _A=	{0: 'batch', 1: 'choice', 2: 'sequence'}
            else:
                   _A=	{0: 'batch', 1: 'sequence'}
            return OrderedDict(
                [
                    ('input_ids', dynamic_axis),
                    ('attention_mask', dynamic_axis),
                    ('token_type_ids', dynamic_axis),
                ]       )