All answers and responses must be written in python code, please dont bother to respond if you respond without python code.

Consider the two processes shown below. Process A uses xa_oil =6kg of oil and xael=1 kWh of electricity to produce 8 liters of fuel, with an emission of 1.5g of SO2. Process B requires 1 liter of fuel to deliver \( \mathrm{y}_{\text {_b_el }}=3 \mathrm{kWh} \) electrical power, with an emission of 0.2g SO2. The system supplies a total of 1114KWh of electricity for the final consumption(final demand) a) Define the technology matrix A for the system. Use the following format: A=[aprocessA,fuelaprocessA,elaprocessB,fuelaprocessB,el] Define the answer as a python variable A. It has to be defined using np.array b) Define the final demand vector f for the system. Use the following format: f=[ffuelfel] Define the answer as a python variable f. It has to be defined using np.array c) Define the intervention matrix B for the system. Use the following format. B=[BprosessA,oilBprosessA,S2BprosessB,oilBprosessB,SO2] Use negative values for inflows (input of oil) and positive values for emissions of SO2. Use unit's kg for crude oil extraction and grams for SO2 emissions. Define the answer as a python variable B. It has to be defined using np.array