d Work Scheduling, we modeled an LP formulation in a general form as follows, where di is the number of hours of skilled repair time in mnti - Recalling from Lecture 7 on Multiperio 1, 2, 3, 4, 5; ie., dl 6000, d2 = 7(XX), d3-8000. d4-9500 and d5-11000 max 1000 + 2000 Vi subject to: 1-1 yl = 50 Vi 1,2,3,4 Vi= 1,2,3,4,5 Vi= 1,2,3,4,5 160yi 50d Implement and solve above geeral LP formulation using Python and Gurobi. Your code in Python must be written using algebraic modeling featus like loops (constraint generation) and sums (expression development) in the implementation. These cannot be written out in explicit/full form. In other words. if I give you an arbitrary input, say,-20, your code still works supposing di is given. Deliverables: 60 points) A single type-written soluton report file in pdf format that contains the flowing sections: 1. The optimal objective value, and optimal decision variable values 2. The output of Gurobi (Gurobi log) 3. The code of Python . (40 points) A single Python file (.py) d Work Scheduling, we modeled an LP formulation in a general form as follows, where di is the number of hours of skilled repair time in mnti - Recalling from Lecture 7 on Multiperio 1, 2, 3, 4, 5; ie., dl 6000, d2 = 7(XX), d3-8000. d4-9500 and d5-11000 max 1000 + 2000 Vi subject to: 1-1 yl = 50 Vi 1,2,3,4 Vi= 1,2,3,4,5 Vi= 1,2,3,4,5 160yi 50d Implement and solve above geeral LP formulation using Python and Gurobi. Your code in Python must be written using algebraic modeling featus like loops (constraint generation) and sums (expression development) in the implementation. These cannot be written out in explicit/full form. In other words. if I give you an arbitrary input, say,-20, your code still works supposing di is given. Deliverables: 60 points) A single type-written soluton report file in pdf format that contains the flowing sections: 1. The optimal objective value, and optimal decision variable values 2. The output of Gurobi (Gurobi log) 3. The code of Python . (40 points) A single Python file (.py)