error reproducing simulation on FactorUCB about banditlib HOT 3 CLOSED

I'm running things in Python 2.7, and when I removed "n = n_users" from the call above, the code proceeds farther, but then runs into the following error below. Thank you for the assistance.

$ python Simulation.py --alg factorUCB
...
Users 9 CoTheta [ 0.17459147 0.04203424 0.16958883 0.02280975 0.23921426 0.05525657
0.09552645 0.11874966 0.07183244 0.0457676 0.28499082 0.
0.01674014 0.1272744 0.3656073 0.28675806 0.165991 0.07772692
0.17026372 0.07092157]
Traceback (most recent call last):
File "Simulation.py", line 525, in
simExperiment.runAlgorithms(algorithms)
File "Simulation.py", line 302, in runAlgorithms
VDiff[alg_name] += self.getL2Diff(self.articles[pickedArticle.id].featureVector, alg.getV(pickedArticle.id))
File "Simulation.py", line 170, in getL2Diff
return np.linalg.norm(x-y) # L2 norm
ValueError: operands could not be broadcast together with shapes (20,) (25,)

from banditlib.

Same error!

from banditlib.

Thank you @diegoolano @scheeloong for pointing out the problem, and it is fixed now:)

from banditlib.