colinucb_revised's People
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huazhengwang e-hu zhangdianlei bjyanli chenguodan poseidon1214 leezqcst yang0110 yuelianghaoyuana yangqiu birdgun jabowery brahmaslee xingwudao hulalazz zhangqi0620 zbn123 tiffen cuizhigang1989 zhaoxiongwei0179 zyq11223 liuwujijay chenxingqiang yangchunjian bigrlab godotfdupku octeufer xrosliang raceli linuxfl tuantx7110colinucb_revised's Issues
bug in constraints
I believe there is a bug in util_functions.py
file, getcons
function, lines 136-144:
def getcons(dim):
cons = []
cons.append({'type': 'eq','fun': lambda x : np.sum(x)-1})
for i in range(dim):
cons.append({'type' : 'ineq','fun' : lambda x: x[i] })
cons.append({'type' : 'ineq','fun' : lambda x: 1-x[i]})
return tuple(cons)
I believe that the desired behavior is to create a constraint function lambda x: x[i]
for each index of the array x
. This is not the current behavior. The problem being that the lambda function depends on i
, and i
will be always equal to 3
after the for-loop is finished.
Observe that the code
x = [0, 1, 2, 3]
cons = []
for i in range(len(x)):
cons.append({'type' : 'ineq','fun' : lambda x: x[i] })
for con in cons:
print(con['fun'](x))
has output
3
3
3
3
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