Question: Linear programming python code using pyomo, numpy and pandas for following problem: Several types of petrol are produced during a petroleum refining process, and a

Linear programming python code using pyomo, numpy and pandas for following problem:
Several types of petrol are produced during a petroleum refining process, and a last step combines them to obtain market products with specified quality measures.
Suppose 4 different types of petrol are available, with values for the 2 indexes of quality being 74 and 148,95 and 185,100 and 182, and 102 and 195, respectively.
Costs per litre of petroleum are 0.22,0.83,0.94, and 0.43 respectively.
What is the minimal cost (in pounds) of a blend of petrols with a first quality index between 95 and 100 and a second index between 182 and 185?

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