I am working on a minimum variance optimisation problem in Python using CVXPY that takes in constraints in the form of
constraints = [
sum_entries(w) == 1,
w[0:5] >0.05,
w[1] > 0.05,
w[6] == 0,
sum_entries(w[country_mappings['France']]) == 0.39,
w >= 0,positive
w[country_mappings['France']] > 0.12
]
With w
being in the form of
w = Variable(n)
To run this more efficiently I want to create my list of constraints dynamically based on a file where I will store my settings. Reading in and creating a constraints list works fine, and by using
type(constraints)
it shows
<type 'list'>
But looking at the actual entries it contains
[EqConstraint(Expression(AFFINE, UNKNOWN, (1, 1)), Constant(CONSTANT,
POSITIVE, (1, 1))), LeqConstraint(Constant(CONSTANT, POSITIVE, (1,
1)), Expression(AFFINE, UNKNOWN, (5, 1))),
LeqConstraint(Constant(CONSTANT, POSITIVE, (1, 1)),
Expression(AFFINE, UNKNOWN, (1, 1))), EqConstraint(Expression(AFFINE,
UNKNOWN, (1, 1)), Constant(CONSTANT, ZERO, (1, 1))),
EqConstraint(Expression(AFFINE, UNKNOWN, (1, 1)), Constant(CONSTANT,
POSITIVE, (1, 1))), LeqConstraint(Constant(CONSTANT, ZERO, (1, 1)),
Variable(10, 1)), LeqConstraint(Constant(CONSTANT, POSITIVE, (1, 1)),
Expression(AFFINE, UNKNOWN, (3L, 1L)))]
whereas mine are in this format
['sum_entries(w) == 1',
'w[0:5] > 0.05',
'w[1] > 0.05',
'w[6] == 0',
'sum_entries(w[country_mappings['France']]) == 0.39',
'w >= 0',
'w[country_mappings['France']] > 0.12'
]
The code used to read in the data is
def read_in_config(filename):
with open(filename) as f:
content = f.read().splitlines()
return content
Does anyone know how this can be done ? The problem is getting w in the variable format of CVXPY before it can be used.
Ok so i have found a solution that works.
One can read in the constraints and concatenate a string to get s.th like
'constraints = [sum_entries(w) == 1,w[0:5] > 0.05,w[1] > 0.05,
w[6] == 0, sum_entries(w[country_mappings['France']]) == 0.39,
w >= 0, w[country_mappings['France']] > 0.12 ]'
Then just use
exec 'string from above'
I know exec is not the safest option to use but it works. W has to be defined in the code
w = Variable(n)