

UpperCAmelCase_							:					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 							__SCREAMING_SNAKE_CASE     (   a__    :   Union[str, Any]			,a__    :   str			,a__    :   Any			,a__    :   List[str]       )					->				str:
	# Return True if there is node that has not iterated.
	__A :			str		    =			[False] * len(a__       )
	__A :			Tuple		    =			[s]
	__A :			Any		    =			True

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

	return visited[t]
def 							__SCREAMING_SNAKE_CASE     (   a__    :   List[str]			,a__    :   int			,a__    :   Any       )					->				int:
	__A :			Optional[Any]		    =			[-1] * (len(a__       ))
	__A :			List[Any]		    =			0
	__A :			Optional[Any]		    =			[]
	__A :			int		    =			[i[:] for i in graph]  # Record original cut, copy.
	while bfs(a__			,a__			,a__			,a__       ):
		__A :			int		    =			float("""Inf"""       )
		__A :			Optional[int]		    =			sink

		while s != source:
			# Find the minimum value in select path
			__A :			str		    =			min(a__			,graph[parent[s]][s]       )
			__A :			int		    =			parent[s]

		max_flow += path_flow
		__A :			Union[str, Any]		    =			sink

		while v != source:
			__A :			Tuple		    =			parent[v]
			graph[u][v] -= path_flow
			graph[v][u] += path_flow
			__A :			Any		    =			parent[v]

	for i in range(len(a__       )       ):
		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))












'''simple docstring'''

from __future__ import annotations





def 		UpperCamelCase							(				_lowerCamelCase   :   list[int]			):  # This function is recursive
    A__							=     len(_lowerCamelCase			)
    # If the array contains only one element, we return it (it's the stop condition of
    # recursion)
    if array_length <= 1:
        return array
        # Else
    A__							=     array[0]
    A__							=     False
    A__							=     1
    A__							=     []
    while not is_found and i < array_length:
        if array[i] < pivot:
            A__							=     True
            A__							=     [element for element in array[i:] if element >= array[i]]
            A__							=     longest_subsequence(_lowerCamelCase			)
            if len(_lowerCamelCase			) > len(_lowerCamelCase			):
                A__							=     temp_array
        else:
            i += 1

    A__							=     [element for element in array[1:] if element >= pivot]
    A__							=     [pivot, *longest_subsequence(_lowerCamelCase			)]
    if len(_lowerCamelCase			) > len(_lowerCamelCase			):
        return temp_array
    else:
        return longest_subseq


if __name__ == "__main__":
  import doctest

  doctest.testmod()



