Question: i want a python code please i want a python code please Introduction: This class is a session for practicing building a network optimization model
Introduction: This class is a session for practicing building a network optimization model using Python software, using the "Tuple" structure. Objective: The objective of this exercise is to enable the students to build their network optimization model in Python software in a structured method, and use the "tuple" structure. Question: The traffic management office in Richmond is attempting to analyze the potential traffic flow from a new office complex under construction to an interstate highway interchange during the evening rush period. Cars leave the office complex via one of three exits, and then they travel through the city streets until they arrive at the interstate interchange. The following network shows the various street routes (branches) from the office complex (node 1) to the interstate interchange (node 9): 0 4 2 0 2 7 0 05 7 8 7 3 3 4 0 3 2 6 1 2 5 6 0 5 06 0 4 4 2 3 4 0 1 2 09 3 6 8 All intermediate nodes represent street intersections, and the values accompanying the branches emanating from the nodes represent the traffic capacities of each street, expressed in thousands of cars per hour. Determine the maximum flow of cars that the street system can absorb during the evening rush hour. Introduction: This class is a session for practicing building a network optimization model using Python software, using the "Tuple" structure. Objective: The objective of this exercise is to enable the students to build their network optimization model in Python software in a structured method, and use the "tuple" structure. Question: The traffic management office in Richmond is attempting to analyze the potential traffic flow from a new office complex under construction to an interstate highway interchange during the evening rush period. Cars leave the office complex via one of three exits, and then they travel through the city streets until they arrive at the interstate interchange. The following network shows the various street routes (branches) from the office complex (node 1) to the interstate interchange (node 9): 0 4 2 0 2 7 0 05 7 8 7 3 3 4 0 3 2 6 1 2 5 6 0 5 06 0 4 4 2 3 4 0 1 2 09 3 6 8 All intermediate nodes represent street intersections, and the values accompanying the branches emanating from the nodes represent the traffic capacities of each street, expressed in thousands of cars per hour. Determine the maximum flow of cars that the street system can absorb during the evening rush hour
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