Coverage for docs/source/examples/x_greaterthan_1.py: 100%

1"Very simple problem: minimize x while keeping x greater than 1." 

2from gpkit import Variable, Model 

3 

4# Decision variable 

5x = Variable("x") 

6 

7# Constraint 

8constraints = [x >= 1] 

9 

10# Objective (to minimize) 

11objective = x 

12 

13# Formulate the Model 

14m = Model(objective, constraints) 

15 

16# Solve the Model 

17sol = m.solve(verbosity=0) 

18 

19# print selected results 

20print(f"Optimal cost: {sol['cost']:.4g}") 

21print(f"Optimal x val: {sol['variables'][x]:.4g}")