






lowerCamelCase : List[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],
]
def       snake_case_		(     lowerCAmelCase_       :						Optional[Any]       ,       lowerCAmelCase_       :						List[str]       ,       lowerCAmelCase_       :						Any       ,       lowerCAmelCase_       :						Union[str, Any]      ):
							# Return True if there is node that has not iterated.
							__lowercase      :							List[Any]				=     [False] * len(lowerCAmelCase_      )
							__lowercase      :							List[Any]				=     [s]
							__lowercase      :							Dict				=     True

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

							return visited[t]
def       snake_case_		(     lowerCAmelCase_       :						Any       ,       lowerCAmelCase_       :						Tuple       ,       lowerCAmelCase_       :						Optional[Any]      ):
							__lowercase      :							Optional[Any]				=     [-1] * (len(lowerCAmelCase_      ))
							__lowercase      :							str				=     0
							__lowercase      :							Tuple				=     []
							__lowercase      :							List[Any]				=     [i[:] for i in graph]  # Record original cut, copy.
							while bfs(lowerCAmelCase_       ,       lowerCAmelCase_       ,       lowerCAmelCase_       ,       lowerCAmelCase_      ):
														__lowercase      :							List[Any]				=     float("""Inf"""      )
														__lowercase      :							Dict				=     sink

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

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

														while v != source:
																					__lowercase      :							str				=     parent[v]
																					graph[u][v] -= path_flow
																					graph[v][u] += path_flow
																					__lowercase      :							Union[str, Any]				=     parent[v]

							for i in range(len(lowerCAmelCase_      )      ):
														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 argparse import ArgumentParser

from . import BaseTransformersCLICommand
def       snake_case_		(     lowerCAmelCase_       :						Dict      ):
							return DownloadCommand(args.model       ,       args.cache_dir       ,       args.force       ,       args.trust_remote_code      )



class 		lowerCAmelCase     ( __a			):

					'''simple docstring'''

					@staticmethod
					def       lowerCAmelCase				(  __a				:	ArgumentParser							)			->  Optional[Any]:


												"""simple docstring"""

												__lowercase      :							Union[str, Any]				=     parser.add_parser("""download"""							)
												download_parser.add_argument(
												    """--cache-dir"""		,     type=__a		,     default=__a		,     help="""Path to location to store the models"""							)
												download_parser.add_argument(
												    """--force"""		,     action="""store_true"""		,     help="""Force the model to be download even if already in cache-dir"""							)
												download_parser.add_argument(
												    """--trust-remote-code"""		,     action="""store_true"""		,     help="""Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"""		,     )
												download_parser.add_argument("""model"""		,     type=__a		,     help="""Name of the model to download"""							)
												download_parser.set_defaults(func=__a							)



					def __init__(  self				:	Dict		,     __a				:	str		,     __a				:	str		,     __a				:	bool		,     __a				:	bool							)			->  Union[str, Any]:


												"""simple docstring"""

												__lowercase      :							Dict				=     model
												__lowercase      :							List[Any]				=     cache
												__lowercase      :							Any				=     force
												__lowercase      :							Optional[int]				=     trust_remote_code



					def       lowerCAmelCase				(  self				:	str							)			->  List[str]:


												"""simple docstring"""

												from ..models.auto import AutoModel, AutoTokenizer

												AutoModel.from_pretrained(
												    self._model		,     cache_dir=self._cache		,     force_download=self._force		,     trust_remote_code=self._trust_remote_code							)
												AutoTokenizer.from_pretrained(
												    self._model		,     cache_dir=self._cache		,     force_download=self._force		,     trust_remote_code=self._trust_remote_code							)