Stack Overflow Asked by Erwinwin on December 16, 2020

I am new to python optimization using `qpsolvers`

and I have problem with running the following code:

```
import numpy as np
from qpsolvers import solve_qp
P = np.array([4.,5.,5.,8.]).reshape(2,2)
q = np.array([-3.,2.]).reshape(1,2)[0]
G = np.array([1,1,-2,-3,1,0,0,1,-1,0,0,-1]).reshape(6,2)
h = np.array([2400.,-1100.,1200.,1500.,-300.,0.])
A = None
b = None
sol = solve_qp(P,q,G,h,A,b,solver='quadprog')
```

I got this error:

```
sol = solve_qp(P,q,G,h,A,b,solver='quadprog')
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/qpsolvers/__init__.py", line 262, in solve_qp
return quadprog_solve_qp(*args, **kwargs)
File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/qpsolvers/quadprog_.py", line 90, in quadprog_solve_qp
if "matrix G is not positive definite" in e:
TypeError: argument of type 'ValueError' is not iterable
```

I am really not sure what cause the problem. Any help for this will be appreciated. Thanks!

Hi I think this is an issue both with the `qpsolvers`

code and your example.

The `qpsolvers`

error is that it has `if "matrix G is not positive definite" in e:`

instead of `if "matrix G is not positive definite" in str(e):`

.

If you correct this then the error `ValueError: Buffer dtype mismatch, expected 'double' but got 'long'`

remains. This is because all of you inputs are floats apart from `G`

. If you replace it with `G = np.array([1., 1., -2., 3., 1., 0., 0., 1., -1., 0., 0., -1.]).reshape(6,2)`

then I think this should resolve your issue.

Answered by Maddo on December 16, 2020

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