<prompt> Tumia Max mtiririko katika Python.  <response>: Here is an example implementation of the Ford-Fulkerson algorithm for finding the maximum flow in a network using python:pythonfrom collections import defaultdictclass Graph: def __init__self: self.graph defaultdictdict def add_edgeself, u, v, w: self.graphuv w def bfsself, s, t, parent: visited False lenself.graph queue queue.appends visiteds True while queue: u queue.pop0 for v in rangelenself.graph: if visitedv False and self.graphuv 0: queue.appendv visitedv True parentv u if v t: return True return False def max_flowself, source, sink: parent -1 lenself.graph max_flow 0 while self.bfssource, sink, parent: path_flow floatInf s sink whiles ! source: path_flow minpath_flow, self.graphparentss s parents max_flow path_flow v sink whilev ! source: u parentv self.graphuv - path_flow self.graphvu path_flow v parentv return max_flowTo use this implementation, you would first create an instance of the Graph class, add edges to it using the add_edgeu, v, w method, where u is the starting node, v is the ending node, and w is the weight of the edge. Finally, you can call the max_flowsource, sink function to find the maximum flow in the network, where source is the source node and sink is the sink node. 