




UpperCAmelCase_		:					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 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				# Return True if there is node that has not iterated.
				__magic_name__						:						Any										=[False] * len(lowerCamelCase )
				__magic_name__						:						Any										=[s]
				__magic_name__						:						Tuple										=True

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

				return visited[t]




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
				__magic_name__						:						str										=[-1] * (len(lowerCamelCase ))
				__magic_name__						:						str										=0
				__magic_name__						:						Any										=[]
				__magic_name__						:						Dict										=[i[:] for i in graph]  # Record original cut, copy.
				while bfs(lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase ):
								__magic_name__						:						List[str]										=float("""Inf""" )
								__magic_name__						:						List[Any]										=sink

								while s != source:
												# Find the minimum value in select path
												__magic_name__						:						Dict										=min(lowerCamelCase						,  graph[parent[s]][s] )
												__magic_name__						:						int										=parent[s]

								max_flow += path_flow
								__magic_name__						:						Optional[Any]										=sink

								while v != source:
												__magic_name__						:						List[Any]										=parent[v]
												graph[u][v] -= path_flow
												graph[v][u] += path_flow
												__magic_name__						:						List[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 dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType




@dataclass
class 		__A   :
						UpperCamelCase      =       42
						UpperCamelCase      =       None
						# Automatically constructed
						UpperCamelCase      =       "dict"
						UpperCamelCase      =       None
						UpperCamelCase      =       field(default="""Translation"""       ,    init=UpperCamelCase__       ,    repr=UpperCamelCase__      )

						def __call__(		self :Union[str, Any]			):
										'''simple docstring'''

										return pa.struct({lang: pa.string() for lang in sorted(self.languages			)}			)


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Value

										return {k: Value("""string"""			) for k in sorted(self.languages			)}




@dataclass
class 		__A   :
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						# Automatically constructed
						UpperCamelCase      =       "dict"
						UpperCamelCase      =       None
						UpperCamelCase      =       field(default="""TranslationVariableLanguages"""       ,    init=UpperCamelCase__       ,    repr=UpperCamelCase__      )

						def      A__    (		self :Optional[Any]			):
										'''simple docstring'''

										__magic_name__						:						List[Any]										=sorted(set(self.languages			)			) if self.languages else None
										__magic_name__						:						Optional[int]										=len(self.languages			) if self.languages else None

						def __call__(		self :List[str]			):
										'''simple docstring'''

										return pa.struct({"""language""": pa.list_(pa.string()			), """translation""": pa.list_(pa.string()			)}			)

						def      A__    (		self :str     ,			__snake_case :str			):
										'''simple docstring'''

										__magic_name__						:						Optional[int]										=set(self.languages			)
										if self.languages and set(__snake_case			) - lang_set:
														raise ValueError(
														    f"Some languages in example ({', '.join(sorted(set(__snake_case			) - lang_set			)			)}) are not in valid set ({', '.join(__snake_case			)})."			)

										# Convert dictionary into tuples, splitting out cases where there are
										# multiple translations for a single language.
										__magic_name__						:						Any										=[]
										for lang, text in translation_dict.items():
														if isinstance(__snake_case     ,			__snake_case			):
																		translation_tuples.append((lang, text)			)
														else:
																		translation_tuples.extend([(lang, el) for el in text]			)

        # Ensure translations are in ascending order by language code.
										__magic_name__					,			__magic_name__						:						List[str]										=zip(*sorted(__snake_case			)			)

										return {"language": languages, "translation": translations}


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Sequence, Value

										return {
										    "language": Sequence(Value("""string"""			)			),
										    "translation": Sequence(Value("""string"""			)			),
										}




