Classification Trees and k-NN
Please see attached. Do not bid if you cannot solve this, I am fed of up random bids and refunds from experts who cannot solve this, yet lie that they can.
Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper
t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>t
d>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
>Data
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| |
| OBS# |
| AGE |
| CHK_ACCT |
| SAV_ACCT |
| NUM_CREDITS |
| DURATION |
| HISTORY |
| PRESENT_RESIDENT |
| EMPLOYMENT |
| JOB |
| NUM_DEPENDENTS |
| RENT |
| INSTALL_RATE |
| GUARANTOR |
| OTHER_INSTALL |
| OWN_RES |
| TELEPHONE |
| FOREIGN |
| REAL_ESTATE |
| TYPE |
| AMOUNT_REQUESTED |
| CREDIT_EXTENDED |
| NPV |
| Splitting Variable |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
|
|
|
|
|
| 7 |
1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 0 |
2 6
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
4 4 2 1 0 4 0 0 1 1 0 1 4
Save Time On Research and Writing
Hire a Pro to Write You a 100% Plagiarism-Free Paper.
Get My Paper
1,
|
|
|
| 16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
1,0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
2
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| v |
2
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
2 1 1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
2 1 1 2 1 1 3 0 0 0 0 0 0 1
1,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
5
1,1
|
|
|
|
|
| 65 |
–
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
3
v
3
4
|
|
|
|
|
|
|
|
| 8 |
0 1 3 9 4 4 2 2 1 0 4 0 0 1 1 0 0 1
2,
|
|
|
|
|
| 13 |
4
1,9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
8
t
4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
2 4 1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
2 3 1 2 1 0 3 0 1 1 1 0 1 6
1,
|
|
| 91 |
3
1,7
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 41 |
6
t
5
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
0 3 1 30 2 2 4 3 1 0 4 0 1 1 0 0 0 4
| 2,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
3
1,1
|
|
|
|
|
| 66 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
5
t
6 29 2 0 1 24 3 2 1 1 1 0 4 0 1 1 0 0 0 3 2,
333 |
1,
| 86 |
6
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 48 |
0
v
7
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
2 1 1 9 2 1 2 2 1 0 2 0 1 1 1 0 1 6
1,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 39 |
1
|
| 69 |
5
|
|
|
|
|
|
|
|
|
|
| 11 |
8
t
8 30 0 1 1 36 2 2 2 2 1 0 1 0 1 1 0 0 0 2
8,
|
|
| 133 |
6,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
6
1,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
7
v
9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
0 0 2 24 2 1 1 2 1 0 1 0 0 1 1 0 0 4
| 5,9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
5,
|
| 94 |
3
-1,
|
| 82 |
6
v
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
|
|
|
| 56 |
0 1 1 12 4 4 4 2 1 0 4 0 0 1 0 0 1 4
|
|
|
|
|
|
|
|
| 61 |
8
|
|
|
|
|
|
|
|
| 55 |
6
1
|
|
|
|
|
|
|
|
|
| 63 |
v
11 41 0 2 1 24 2 4 4 1 1 1 4 0 0 0 0 0 1 1
1,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
9
1,3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
6
t
12
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
2 2 2 6 3 2 4 2 2 0 1 0 1 1 0 0 0 6
1,4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
1,
| 304 |
2
|
|
|
|
|
|
|
|
|
|
| 52 |
t
13 25 1 1 2 21 2 2 2 2 1 0 3 0 0 1 1 0 1 4
1,8
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
9
|
| 17 |
–
|
| 508 |
t
|
|
|
|
| 14 |
24 2 0 1 48 2 2 3 2 1 0 1 0 0 1 0 0 0 1
8,4
|
|
|
| 87 |
5,0
|
| 92 |
9
|
| 76 |
t
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
27 3 4 1 6 2 2 1 0 1 0 2 0 0 1 0 1 1 1
|
|
| 70 |
9
4
| 96 |
|
|
| 93 |
t
16
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
0 2 1 6 2 4 4 2 2 0 2 0 1 0 1 0 0 4
1,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
6
|
| 1,076 |
2
| 95 |
t
17 36 0 2 1 24 4 4 4 2 2 0 3 0 0 1 1 0 1 4
2,8
|
|
| 72 |
2,
|
|
|
|
|
| 58 |
4
|
|
|
|
| 74 |
4
t
18 33 1 1 2 15 0 3 4 2 2 1 4 0 0 0 0 0 0 1
|
|
|
| 950 |
|
|
|
|
|
|
|
|
|
| 57 |
0
-1
|
|
| 88 |
t
|
|
|
| 19 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
0 1 2 36 3 1 1 2 1 0 1 0 0 1 0 0 0 6
9,
| 572 |
6,
|
| 700 |
-4,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
6
t
20
|
|
|
|
|
|
|
|
|
|
|
| 54 |
0 4 3 24 2 3 2 3 1 0 2 0 0 1 1 0 0 6
4,
|
|
|
|
| 59 |
1
4,
| 131 |
-2,
|
| 912 |
t
21 52 0 3 2 9 4 2 4 2 1 0 4 0 0 1 1 0 0 5
|
|
| 936 |
|
| 84 |
2
|
| 1
|
|
| 98 |
t
22 33 0 0 2 9 4 2 2 2 2 0 1 0 0 1 0 0 1 4
| 3,074 |
2,1
|
|
|
|
|
|
|
|
| 51 |
2
|
|
|
| 62 |
t
23 26 2 1 1 12 2 1 1 1 1 0 4 1 1 1 0 0 1 4
| 625 |
3
|
|
|
| 75 |
|
|
| 90 |
t
24 26 3 1 1 36 2 2 2 2 1 0 4 0 0 1 0 0 0 4
4,
|
| 210 |
2,
|
| 526 |
–
|
| 81 |
6
v
25 29 1 0 1 24 2 2 4 2 1 0 4 0 1 1 0 0 0 1
|
| 915 |
915
–
|
| 337 |
t
26 39 1 4 2 6 4 4 3 1 1 0 3 0 0 1 1 0 1 1
|
| 666 |
|
|
| 466 |
|
|
| 67 |
t
27 27 1 1 1 12 2 2 2 2 1 0 2 0 0 1 0 0 1 3
| 1,
| 657 |
| 1,
| 491 |
|
| 429 |
v
28
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
0 0 1 18 2 3 3 2 1 0 4 0 0 1 0 1 0 1
2,
|
|
| 662 |
1,
|
| 863 |
4
|
|
| 85 |
t
29 23 0 4 2 15 4 4 4 2 1 1 3 0 0 0 1 0 0 2
3,3
|
|
|
|
| 68 |
2,
| 694 |
|
|
| 414 |
t
30 26 0 1 1 12 2 2 2 2 1 0 2 0 0 1 1 1 1 6 1,076
6
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
| 114 |
t
31 54 0 1 1 6 2 4 0 0 1 0 1 0 0 1 1 0 1 1
| 672 |
| 470 |
|
|
| 116 |
t
32 40 2 0 1 48 2 4 0 0 1 0 3 0 1 0 1 0 0 0
| 5,
|
| 381 |
5,381
| 1,
| 768 |
t
33 28 2 1 2 30 4 2 0 3 1 0 4 0 0 1 0 0 0 1
| 4,
|
|
|
| 249 |
2,
| 549 |
-1,
| 157 |
t
34 75 1 1 2 24 4 4 0 3 1 0 2 0 0 0 1 0 0 2
6,
|
| 615 |
3,
|
| 307 |
3
|
| 79 |
t
35 24 2 1 2 24 4 4 1 2 1 0 2 0 0 0 1 0 0 5
5,
| 743 |
| 4,020 |
|
|
| 674 |
t
36 23 0 1 1 9 2 4 1 2 1 1 1 0 0 0 1 0 1 0
| 1,
| 236 |
|
| 741 |
| 140 |
t
37 61 2 0 1 18 2 4 2 2 1 0 4 0 0 0 0 0 0 5
1,
|
| 239 |
| 867 |
|
|
| 194 |
t
38 36 0 0 1 36 2 4 2 2 1 0 4 0 0 1 0 0 1 1
| 3,079 |
2,7
|
| 71 |
|
| 811 |
t
39 39 1 0 1 20 2 4 3 2 1 0 4 0 0 1 1 0 0 3
| 2,
| 212 |
2,212 |
|
| 611 |
t
40 30 0 1 1 18 2 2 2 3 1 0 2 0 0 1 1 0 0 1
| 1,
| 820 |
1,820
| 542 |
v
41 39 0 1 1 18 2 4 1 2 1 0 3 0 0 1 1 0 1 4
| 1,4
|
|
| 73 |
1,
| 473 |
| 430 |
t
42 20 2 1 1 24 2 4 4 2 1 0 4 0 0 1 1 0 0 4
1,
|
|
|
| 967 |
1,
|
|
| 376 |
|
| 301 |
t
43 20 0 4 1 15 2 3 3 2 1 1 2 0 0 0 0 0 0 1
| 3,
|
| 186 |
3,186
| 862 |
v
44 74 0 1 1 5 2 4 3 1 1 0 1 0 0 1 0 0 1 6
3,
|
| 448 |
3,
|
|
| 103 |
|
| 824 |
t
45 39 0 1 1 12 2 4 4 3 1 0 4 0 0 1 1 0 0 1
1,
|
|
| 884 |
1,
|
|
| 507 |
| 415 |
t
46 30 0 0 1 36 4 2 2 3 1 0 4 0 0 1 1 0 0 2
11,054 |
7,
|
| 737 |
1,
|
|
|
|
|
| 64 |
0
v
47 37 1 1 1 36 2 2 2 2 2 0 1 1 0 1 0 0 0 3
3,
| 620 |
1,
|
| 810 |
|
| 334 |
t
48 22 2 2 1 24 2 2 1 2 1 1 3 0 0 0 1 0 0 4
3,092 |
|
|
| 1,
| 546 |
–
|
|
| 790 |
t
49 23 2 1 1 12 4 1 2 1 1 0 1 0 0 1 0 0 1 4
3,
|
| 573 |
2,
|
|
| 501 |
|
| 590 |
v
50 26 0 1 2 12 4 2 4 2 1 0 2 0 0 1 0 0 0 4
1,
|
| 934 |
1,
| 547 |
|
| 282 |
t
51 27 1 1 1 24 2 1 1 2 1 0 4 0 0 1 0 0 0 1
3,
|
|
| 123 |
2,
|
| 498 |
–
| 1,
| 330 |
v
52 26 1 1 1 12 2 2 3 2 1 0 4 0 0 1 0 0 1 1
| 759 |
|
|
|
|
|
|
|
| 53 |
1
–
| 305 |
t
53 44 0 1 2 24 4 4 4 2 1 0 3 0 0 0 0 0 0 0
5,507 |
4,
|
| 956 |
|
| 848 |
v
54 32 2 1 2 36 2 1 3 2 2 0 3 0 0 1 0 0 0 5
2,
| 273 |
1,
| 818 |
|
|
|
| 350 |
t
55 23 2 1 1 12 2 1 1 2 1 1 1 0 0 0 0 0 1 4
1,
|
|
| 534 |
| 920 |
-415 |
t
56 23 0 0 2 12 4 4 3 2 1 0 4 0 0 1 0 0 1 0
|
| 99 |
6
498 68 t
57 49 1 0 1 24 2 4 4 2 2 0 4 0 1 0 1 0 0 2
| 2,
| 964 |
2,964
1,012 |
t
58 23 1 1 1 24 2 4 1 1 1 1 4 0 0 0 1 0 1 3
| 3,
| 234 |
3,234
-1,
|
|
|
| 151 |
t
59 30 2 1 2 18 4 3 4 2 1 0 3 1 1 1 0 0 1 1
1,056 |
950
–
| 388 |
t
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
58 1 1 4 12 4 3 3 1 1 0 4 0 0 1 1 0 1 4
| 385 |
|
|
| 308 |
19 t
61 45 2 1 1 7 2 1 1 2 1 0 1 1 0 1 0 0 1 4
2,
|
| 329 |
1,
| 3
| 97 |
2
|
| 77 |
t
62 22 1 2 1 12 2 3 0 2 1 0 4 0 0 1 0 0 0 0 741
|
|
| 518 |
–
|
|
| 192 |
t
63 27 2 1 2 21 4 3 3 2 1 0 2 0 0 1 0 0 0 6
3,
|
|
|
|
| 652 |
2,
|
| 191 |
337 t
64 28 1 1 1 24 2 4 2 2 1 0 2 0 0 1 0 0 0 4
3,
|
|
| 660 |
2,
| 928 |
| 80 |
5
t
65 27 1 1 1 18 2 1 0 0 1 0 4 0 0 1 0 0 1 5
| 750 |
|
| 525 |
–
| 403 |
t
66 50 1 1 1 48 2 1 3 3 1 0 4 0 0 0 1 0 0 5
7,
|
| 476 |
5,
| 980 |
1,
|
|
| 585 |
t
67 23 3 1 1 12 2 4 2 2 1 1 3 0 0 0 0 0 1 4
1,
| 297 |
|
| 648 |
|
|
| 137 |
t
68 27 0 2 2 24 4 3 2 1 1 0 3 0 0 1 1 0 0 6
4,
|
| 139 |
3,
| 311 |
| 551 |
t
69 56 0 1 1 6 2 2 1 2 1 0 1 0 0 1 0 0 0 5
1,
| 538 |
1,
| 230 |
| 364 |
v
70 25 1 1 2 15 4 3 2 2 1 0 2 0 0 1 0 0 0 3
|
| 975 |
585 88 t
71 29 0 3 1 12 2 4 2 1 1 1 4 0 0 0 0 0 0 3
1,123 |
|
| 1,010 |
–
|
|
|
| 535 |
v
72 32 0 3 2 18 4 3 4 3 1 0 4 0 1 1 1 0 0 4
|
| 629 |
|
| 440 |
56 t
73 34 3 1 2 9 0 2 1 3 1 0 4 0 0 1 1 0 0 4
1,337 |
1,
| 203 |
–
|
| 479 |
t
74 33 2 1 1 24 3 2 1 2 1 0 1 0 0 1 0 0 0 4
6,403 |
3,
|
|
| 841 |
| 696 |
t
75 32 1 2 1 24 1 3 3 2 1 0 2 0 1 1 0 0 0 1
2,
| 325 |
| 1,
|
| 627 |
| 356 |
t
76 49 1 1 1 6 2 1 4 2 1 0 2 0 1 1 1 0 0 3
|
| 428 |
| 342 |
99 v
77 59 0 0 1 15 4 4 4 2 1 0 1 0 0 1 1 0 0 1
5,045 |
3,027 |
507 t
|
| 78 |
26 1 0 1 24 2 4 4 2 1 1 2 0 0 0 0 0 1 2
2,
| 812 |
1,
| 406 |
198 |
t
79 25 2 1 2 39 4 2 3 2 1 0 2 1 0 1 0 0 1 4
4,
|
| 933 |
3,
|
| 946 |
-2,
|
|
| 365 |
t
80 39 2 1 1 21 2 4 4 2 2 0 2 0 0 1 0 0 0 6
1,
|
| 188 |
| 594 |
–
|
|
| 446 |
v
81 54 0 1 2 24 4 4 4 2 2 0 4 0 0 0 0 0 0 5
|
| 1,
|
| 597 |
1,597
|
| 401 |
t
82 26 2 1 1 8 2 2 1 2 1 0 3 0 0 1 1 0 1 6
|
|
| 907 |
| 816 |
| 248 |
t
| 83 |
27 0 1 2 12 2 2 2 2 1 0 3 0 0 1 1 0 1 1
1,
| 101 |
| 990 |
198 v
84 44 0 3 2 24 3 2 2 2 2 0 4 0 0 1 1 0 0 6
2,
| 375 |
1,
|
| 425 |
|
| 148 |
t
85 29 1 1 1 36 2 2 3 2 1 0 4 0 0 1 0 0 0 3
5,
| 179 |
4,
|
|
| 143 |
-2,
| 232 |
t
86 33 1 1 2 20 4 2 2 2 1 1 4 1 1 0 0 1 0 1
2,
|
|
| 235 |
1,
|
|
| 341 |
| –
| 603 |
t
87 27 0 4 2 24 4 2 2 2 1 0 4 0 0 1 0 0 1 2
5,
|
|
| 804 |
4,
| 643 |
956 v
88 40 0 3 2 36 3 4 3 2 1 0 2 0 0 1 1 0 0 3
7,
|
| 678 |
4,
|
|
| 606 |
|
|
|
| 682 |
t
89 |
38 0 1 1 24 2 3 3 3 1 0 3 0 0 1 1 0 0 2
7,
|
| 814 |
7,032 |
2,
|
|
| 237 |
t
90 43 1 1 4 27 4 4 4 3 2 0 4 0 1 1 1 0 0 6
2,
|
| 442 |
1,
|
| 709 |
-10 |
t
91 43 1 1 1 16 4 4 4 2 1 1 2 1 1 0 1 0 0 1
| 2,625 |
2,625
–
| 1,
| 254 |
v
92 34 0 1 2 36 3 4 2 2 1 0 4 0 0 1 0 0 1 4
4,
|
|
| 454 |
3,
|
| 117 |
| 397 |
t
93 28 0 1 2 18 4 2 2 2 1 0 4 0 0 1 0 0 0 3
1,
| 817 |
1,
|
| 453 |
|
| 207 |
t
94 24 1 1 1 24 2 1 1 1 1 0 4 0 0 1 0 1 0 3
1,
|
|
| 747 |
|
|
| 1,572 |
|
|
| 457 |
v
95 45 0 0 1 12 2 3 1 3 2 0 2 0 0 1 1 0 0 1
3,
| 527 |
2,
| 468 |
|
| 522 |
v
96 40 2 1 3 18 4 3 0 0 2 0 3 0 0 1 1 0 0 6
| 3,590 |
2,
| 872 |
|
|
|
|
| 343 |
t
97 30 0 1 2 6 4 2 4 2 1 1 2 0 0 0 0 0 1 4
1,
|
| 740 |
1,
|
| 218 |
| 168 |
t
98 22 2 2 1 15 2 2 2 2 1 0 4 1 0 1 0 0 1 0
| 1,
| 514 |
1,
|
|
| 211 |
|
|
| 296 |
v
99 49 2 1 1 30 4 2 3 2 1 0 2 0 0 1 0 0 0 3
| 8,
| 386 |
8,386
-3,
|
| 751 |
t
100 |
37 0 0 2 12 4 1 1 1 2 0 2 0 0 1 0 0 0 5
3,
|
|
| 565 |
2,
| 852 |
|
| 553 |
v
101 22 2 1 1 48 2 2 2 2 1 0 2 0 0 1 0 0 1 4
5,
|
| 951 |
5,
| 355 |
-3,080 |
v
| 102 |
24 1 1 1 48 2 4 1 2 1 1 3 0 0 0 0 0 0 6
| 4,308 |
4,308
-2,
|
|
| 807 |
t
103 44 1 3 1 6 2 3 2 2 2 1 2 0 0 0 0 0 1 4
| 2,
|
| 647 |
2,647
| 770 |
v
| 104 |
27 1 1 1 24 2 2 2 2 1 0 2 0 1 1 0 0 0 3 4,020
3,
| 618 |
| 879 |
t
| 105 |
26 2 3 1 12 2 1 2 2 1 0 3 0 0 1 1 0 0 4
1,
|
|
|
| 158 |
|
| 926 |
|
|
| 253 |
v
| 106 |
30 2 1 2 27 3 2 4 3 1 0 1 0 0 1 1 0 0 2
| 5,
| 965 |
5,965
1,508 |
t
107 |
50 2 0 2 15 4 4 4 2 1 0 4 1 0 1 1 0 1 4
1,
| 537 |
1,
|
|
| 383 |
|
| 291 |
t
108 |
46 0 0 2 7 4 2 4 1 1 1 4 0 0 0 1 0 0 4
|
| 730 |
| 511 |
85 v
| 109 |
47 0 3 1 15 2 3 4 2 1 0 4 0 1 1 1 0 0 4
1,
| 213 |
|
| 1,091 |
|
|
|
| 261 |
t
110 |
54 1 1 1 12 4 3 4 2 1 0 4 0 0 1 0 0 1 2
1,
|
|
| 409 |
1,
|
| 268 |
|
|
| 318 |
t
|
| 111 |
24 2 1 1 36 2 4 3 2 1 1 4 0 0 0 0 0 0 4
2,
|
|
|
| 323 |
1,
| 393 |
296 t
|
| 112 |
23 3 1 1 15 2 4 1 2 1 1 4 0 0 0 1 0 0 5
|
|
| 392 |
| 352 |
91 t
113 |
41 0 1 2 24 4 2 4 3 1 1 4 0 0 0 1 0 0 2
3,
|
| 868 |
2,
|
| 707 |
| 372 |
v
114 29 1 1 1 36 3 3 2 2 1 0 4 0 1 1 1 0 0 5
6,
| 887 |
6,198 |
-4,
|
| 715 |
t
|
| 115 |
30 2 1 1 36 2 1 1 3 1 0 4 0 0 1 1 0 0 4
4,
|
| 795 |
3,356 |
|
|
| 805 |
t
116 38 0 1 1 10 2 4 2 2 1 0 1 0 0 1 1 1 0 4
|
|
| 1,
| 924 |
1,
| 539 |
381 v
117 30 0 1 2 18 4 1 1 2 1 0 4 0 0 1 0 0 0 1
1,055 |
|
| 844 |
| 164 |
t
118 |
26 0 1 1 12 2 1 2 2 1 0 4 0 0 1 1 0 1 3
|
| 763 |
| 610 |
| 175 |
t
|
| 119 |
30 2 1 2 36 3 2 2 3 1 0 2 0 1 1 1 0 1 6
| 4,
| 455 |
4,455
–
| 2,
| 746 |
t
| 120 |
34 2 2 1 48 0 4 3 1 2 0 4 0 0 0 0 0 0 6
3,844 |
3,075 |
-2,
|
| 447 |
t
| 121 |
27 1 1 1 12 2 3 2 1 1 0 4 0 0 1 0 0 1 1
1,168 |
934
|
| 251 |
t
122 |
45 0 0 1 36 2 4 4 1 1 0 2 0 0 1 1 0 1 4
3,
|
|
|
| 835 |
|
| 2,301 |
|
| 458 |
t
123 23 1 0 1 12 2 4 2 2 1 1 4 0 1 0 1 0 0 5
1,
|
|
|
| 200 |
1,080 |
| 299 |
t
|
| 124 |
51 0 3 1 9 2 4 4 1 1 0 2 0 0 0 0 0 0 1
2,507 |
1,
|
| 504 |
| 262 |
t
|
| 125 |
51 0 1 1 6 2 2 3 2 2 0 3 0 0 1 0 0 0 4
|
| 1,
|
| 595 |
1,595 534 v
|
| 126 |
46 3 1 1 12 2 2 2 1 1 0 1 0 0 1 0 0 0 3
2,251 |
1,
| 575 |
|
|
| 349 |
t
| 127 |
55 1 1 1 24 2 4 4 2 1 0 4 0 0 1 0 0 0 4
1,603 |
|
|
| 961 |
|
|
| 195 |
v
| 128 |
37 0 3 1 12 4 4 3 2 1 1 3 0 0 0 1 0 0 3
1,
|
|
| 402 |
1,261 |
397 t
129 |
50 0 1 1 12 2 2 2 2 1 0 4 0 0 1 0 0 1 3
1,
| 574 |
1,
| 416 |
446 t
|
| 130 |
28 2 1 1 36 2 4 1 3 1 1 1 0 0 0 1 0 0 2
9,
| 398 |
6,
|
| 578 |
–
| 2,415 |
v
131 42 2 1 1 36 0 1 2 2 1 0 4 0 0 1 1 0 0 4
3,804 |
2,282 |
-1,051 |
v
132 |
25 0 2 1 24 2 1 2 2 1 0 4 0 1 1 0 0 0 3
5,511 |
3,
|
|
|
| 306 |
| 723 |
t
133 32 1 1 1 24 2 3 1 2 1 0 4 0 0 1 0 0 0 4
1,
| 938 |
1,
| 550 |
-696 |
v
134 |
30 0 2 2 18 4 2 2 2 1 0 4 0 0 1 0 0 1 5
1,
|
| 864 |
1,491
-1,
| 183 |
t
|
|
|
|
| 135 |
26 1 1 1 21 2 4 3 1 1 1 1 0 0 0 0 0 0 3
3,
|
| 599 |
2,
| 159 |
|
|
|
|
| 426 |
t
| 136 |
29 2 1 1 9 2 2 2 2 1 0 1 0 0 1 0 1 0 3
|
| 959 |
479
–
|
| 247 |
v
137 37 3 0 1 12 2 3 4 3 1 0 2 0 0 1 0 0 0 4
3,
| 399 |
|
| 2,039 |
| 493 |
t
| 138 |
33 0 1 2 18 4 4 4 2 1 0 3 0 0 1 1 0 0 4
6,070 |
4,249
| 758 |
t
139 38 2 1 1 18 2 4 0 3 1 0 3 0 0 0 1 0 0 2
12,
|
|
| 976 |
6,
|
|
| 488 |
-3,
| 587 |
v
140 19 2 4 1 12 2 4 1 1 1 1 1 0 0 0 0 0 1 3
| 983 |
|
|
| 589 |
|
|
|
| 141 |
t
141 28 2 0 2 18 4 4 2 2 1 0 4 0 1 1 0 0 1 6
| 1,887 |
1,
|
|
| 698 |
| 312 |
v
142 |
35 0 1 2 33 4 2 3 3 1 0 3 0 0 1 1 0 0 2
7,253 |
5,077 |
730 t
143 30 2 0 1 12 2 2 2 2 1 0 4 0 0 1 0 0 0 2
| 2,028 |
1,
| 825 |
518 v
| 144 |
29 2 1 2 24 2 3 2 3 1 0 2 0 1 1 1 0 0 0
1
| 1,
|
| 328 |
7,
|
|
| 929 |
-4,440 |
v
145 |
30 1 1 1 12 2 3 2 2 1 0 2 0 0 1 0 0 0 3
1,620 |
|
| 972 |
200 t
146 |
29 0 1 1 6 2 1 2 2 1 0 3 0 0 1 0 0 1 4 518 466 135 t
| 147 |
36 1 1 1 15 2 3 1 2 1 0 2 0 0 1 0 0 1 1
1,
| 721 |
|
| 860 |
|
|
|
| 163 |
t
148 23 1 1 1 6 2 4 1 2 1 0 4 0 0 1 0 0 0 5 448 268
–
|
| 220 |
t
| 149 |
26 2 1 1 24 2 1 1 2 1 0 4 0 0 1 0 0 0 1
1,
|
| 201 |
|
| 720 |
|
| 165 |
v
|
|
| 150 |
42 2 1 2 27 0 4 4 3 1 0 2 0 0 0 1 0 0 6
8,318 |
7,
| 486 |
-5,
| 624 |
v
151 42 1 1 1 36 2 4 4 2 2 0 2 0 0 0 0 0 0 2
5,493 |
4,
|
|
| 394 |
| 1,032 |
t
| 152 |
32 0 1 1 36 2 2 2 3 1 0 2 0 0 0 1 0 0 2
4,
| 686 |
2,343 |
| 378 |
v
| 153 |
24 1 1 1 18 2 2 2 2 1 0 2 0 0 1 0 0 1 4
3,
| 190 |
1,
| 914 |
-1,031 |
t
|
| 154 |
28 2 2 2 15 2 4 2 2 1 1 2 0 0 0 1 0 0 1
| 2,
|
| 631 |
1,
| 315 |
–
|
| 459 |
t
| 155 |
60 0 1 2 24 3 4 4 2 1 0 4 0 0 0 1 0 0 1
2,032 |
1,
|
|
| 219 |
125 t
| 156 |
45 0 3 1 6 1 4 4 1 2 0 2 0 1 1 0 0 0 4
| 1,750 |
| 1,050 |
|
| 229 |
v
157 24 1 1 1 24 1 4 3 1 1 1 4 1 1 0 0 0 0 4
1,546 |
1,546
–
| 813 |
t
158 38 0 1 1 30 4 2 3 2 1 0 3 0 0 1 0 0 0 4
5,
|
| 954 |
4,
|
|
| 167 |
835 t
159 49 2 1 2 12 4 3 1 1 2 0 1 0 1 1 0 0 1 1
|
| 3,124 |
3,124
| 616 |
t
| 160 |
42 2 0 2 24 3 4 2 2 1 1 4 0 0 0 1 0 0 1
1,965 |
1,572 307 v
| 161 |
30 2 1 1 9 2 1 2 2 1 0 4 0 0 1 0 0 0 3
| 918 |
| 734 |
–
| 284 |
v
|
| 162 |
48 3 2 1 10 2 4 4 1 2 0 1 0 0 0 0 0 0 1
1,
|
| 240 |
|
| 744 |
-409 |
t
163 32 0 1 2 18 4 2 2 2 1 0 3 0 1 1 0 0 0 1
1,
| 530 |
| 1,
|
| 377 |
–
| 653 |
t
164 44 1 1 1 18 1 3 2 2 1 0 4 0 1 1 0 0 0 3
| 1,553 |
|
|
| 931 |
–
|
|
|
| 366 |
t
165 38 2 1 2 15 2 4 4 1 1 0 4 0 0 1 0 0 0 0
1,308 |
|
| 784 |
78 t
| 166 |
37 2 1 1 12 2 2 2 1 1 0 4 0 0 1 0 0 0 3
1,
|
| 922 |
1,
|
| 345 |
–
| 494 |
t
167 23 1 0 1 12 2 2 2 2 1 0 4 0 0 1 0 0 0 1
|
|
| 900 |
900
-491 |
t
168 31 0 2 2 36 2 2 3 2 1 0 2 0 0 1 1 0 0 6
| 5,
|
| 742 |
5,742
| 1,198 |
t
169 |
37 0 0 1 12 2 4 2 2 1 0 4 0 0 0 1 0 0 4
2,
| 279 |
1,595 426 v
| 170 |
25 2 2 1 15 2 2 2 1 1 0 3 0 0 1 0 0 1 0 2,631
|
| 1,841 |
457 t
| 171 |
46 1 1 2 48 4 4 4 2 1 0 4 0 0 0 1 0 0 2
6,
| 331 |
5,
|
|
| 697 |
-2,024 |
t
|
|
| 172 |
35 1 1 1 6 1 4 4 2 1 0 4 0 0 0 0 0 0 5 1,198
|
| 838 |
-590 |
t
|
| 173 |
24 2 4 1 6 1 2 1 2 2 1 4 0 1 0 0 0 0 5
|
| 433 |
|
|
|
| 389 |
-328 |
t
| 174 |
21 1 1 1 24 2 4 2 1 2 1 2 0 0 0 0 0 1 4
1,
|
| 987 |
1,192 |
–
|
| 693 |
t
175 23 2 1 1 10 1 4 2 1 1 0 4 0 1 1 0 0 1 4
| 1,048 |
838 186 t
|
| 176 |
23 1 1 1 18 2 2 1 1 1 0 1 0 0 1 0 0 0 1 976
|
| 683 |
–
|
| 300 |
t
177 |
24 1 1 2 18 4 4 2 2 1 1 4 0 0 0 0 0 1 3
2,124 |
| 1,486 |
-587 |
v
|
| 178 |
25 1 1 2 36 4 2 2 3 1 0 3 0 0 1 1 0 0 5
8,065 |
4,
| 839 |
-3,043 |
t
179 60 0 4 1 24 4 4 4 2 1 0 4 0 0 1 1 0 1 1
| 1,
|
| 940 |
1,746 |
466 t
180 |
41 0 0 1 24 2 4 4 3 2 0 3 0 0 1 1 0 0 2
| 6,
|
| 313 |
6,313
2,
|
|
| 196 |
v
|
|
|
| 181 |
48 2 1 2 18 4 4 4 1 1 1 3 1 1 0 1 0 1 4
| 1,795 |
1,615 |
282 v
|
| 182 |
28 2 1 1 6 2 3 3 1 1 0 3 1 1 1 0 0 1 4
| 484 |
|
|
| 338 |
71 v
183 24 3 1 1 12 2 1 2 2 1 0 3 0 0 1 0 0 0 4
3,016 |
2,
|
| 412 |
|
| 567 |
t
184 |
23 1 1 1 18 2 3 1 2 1 1 4 0 0 0 1 0 0 1
1,
| 216 |
|
| 729 |
–
|
|
| 266 |
v
185 |
28 0 1 2 21 3 2 2 1 1 0 3 0 1 1 0 0 1 2
2,
|
| 993 |
2,095 |
|
|
| 359 |
t
186 43 0 0 2 24 4 4 3 2 1 0 3 0 0 1 1 0 0 2
| 4,042 |
2,425 |
301 t
| 187 |
28 0 1 1 18 3 2 2 2 1 0 4 0 0 1 1 0 0 6
2,169 |
1,
| 952 |
–
|
| 1,355 |
t
188 46 3 1 2 6 4 4 4 2 2 0 1 0 0 1 0 1 1 1
1,343 |
805 84 t
| 189 |
48 0 0 1 24 2 4 2 2 1 0 2 0 0 0 1 0 0 2
9,
|
| 277 |
5,
| 566 |
| 981 |
t
190 46 0 1 2 15 4 4 4 2 1 0 4 0 0 1 1 0 0 4
| 1,
| 829 |
1,829
| 464 |
t
191 44 0 0 2 20 4 4 1 2 1 0 2 0 0 1 1 0 1 1
3,
|
| 485 |
| 2,
| 788 |
|
|
|
| 456 |
t
192 25 2 1 1 24 4 4 1 1 1 0 2 0 1 1 0 0 0 3
4,
|
| 736 |
4,262 |
–
| 1,
| 718 |
v
|
|
| 193 |
37 0 3 1 48 3 1 3 3 1 0 4 0 0 1 1 0 0 4
| 12,
|
| 749 |
12,749
3,442 |
t
194 22 2 1 1 9 2 2 1 2 1 0 4 0 0 1 1 0 0 4
1,
|
| 670 |
|
| 1,
|
| 503 |
-488 |
v
195 31 0 1 1 10 2 2 2 1 2 0 3 0 0 1 0 1 1 1 1,546
1,236 |
|
| 286 |
v
196 24 1 1 2 36 3 1 3 2 1 0 2 0 0 1 1 0 0 6
2,145 |
1,072 |
–
|
|
| 673 |
v
|
|
| 197 |
47 2 1 2 21 3 4 2 2 1 0 1 0 0 1 0 0 0 1
2,
| 353 |
2,117 |
|
|
| 405 |
t
198 43 0 1 1 24 2 4 2 1 2 0 1 0 0 1 0 0 0 1
7,393 |
4,
| 435 |
| 767 |
t
|
| 199 |
33 0 1 1 48 2 2 0 3 1 1 3 0 1 0 1 0 0 6
4,844 |
3,
|
|
|
|
| 390 |
-2,152 |
t
200 34 0 2 1 15 1 4 4 1 2 0 4 0 1 1 0 0 0 4
1,
| 569 |
| 941 |
158 t
201 49 0 1 1 12 4 3 3 1 2 0 2 0 0 1 0 0 1 5
2,096 |
1,
| 467 |
383 t
|
| 202 |
22 2 1 1 12 2 1 2 2 1 0 1 0 0 1 1 0 0 4
1,567 |
|
| 1,096 |
| 241 |
v
203 48 1 1 2 10 4 3 1 1 2 1 1 0 0 0 0 1 1 1
| 2,241 |
| 1,
|
| 568 |
|
|
|
|
|
| 258 |
t
| 204 |
30 2 2 2 18 2 2 2 2 1 0 2 0 0 1 1 0 0 1
5,
|
| 866 |
2,933 |
|
| 225 |
v
205 |
44 2 1 1 18 3 4 2 1 2 0 2 0 0 1 1 0 1 0
6,204 |
4,
|
| 963 |
1,229 |
t
| 206 |
25 0 1 1 12 2 2 2 2 1 0 3 0 0 1 0 0 0 4
|
|
| 1,262 |
|
| 1,009 |
|
| 275 |
t
207 61 2 1 1 36 0 4 4 3 1 0 4 0 0 0 1 0 0 6
| 1,
| 953 |
1,
| 562 |
-976 |
t
|
| 208 |
51 1 1 2 8 4 4 4 3 2 0 3 0 1 0 1 0 0 0
1,164 |
698 87 v
209 |
24 0 2 1 18 2 4 2 1 1 1 3 0 0 0 0 0 0 6 1,568 1,254
|
|
| 363 |
t
210 33 0 0 1 12 4 3 4 1 2 0 4 0 1 1 0 0 0 4
|
|
| 797 |
|
|
| 717 |
–
|
| 302 |
t
211 24 0 1 1 6 3 2 2 2 1 0 3 0 0 1 0 0 1 4
|
| 932 |
652 167 t
212 28 2 1 1 18 2 3 3 1 1 1 3 0 0 0 0 0 1 1
6,
| 260 |
3,
| 756 |
|
|
|
| 708 |
t
213 24 0 1 1 12 2 2 2 1 1 1 3 0 0 0 0 0 1 3 1,768
|
| 1,237 |
300 v
214 |
27 0 1 2 15 2 3 1 1 1 0 2 0 1 1 0 0 0 3
2,708 |
1,
| 354 |
151 t
|
|
|
| 215 |
27 1 1 1 27 2 2 2 3 1 0 3 0 0 1 0 0 0 4
3,416 |
3,074 922 t
216 24 3 1 1 36 2 1 2 2 1 0 4 0 0 1 0 0 0 4
5,848 |
4,093 |
| 896 |
t
|
| 217 |
36 0 3 2 15 2 3 3 2 1 0 4 0 0 1 1 0 0 0 1,262
|
| 757 |
72 t
218 34 2 1 1 24 3 2 0 3 1 0 3 0 0 1 1 0 0 3
2,064 |
1,
|
|
| 651 |
–
|
|
|
|
| 882 |
t
219 40 1 0 2 21 1 2 2 1 2 0 4 0 0 1 0 0 0 1
| 1,647 |
1,152 |
-610 |
v
220 36 2 1 1 27 2 2 2 2 2 0 4 0 0 1 1 0 0 6
3,915 |
| 1,
| 957 |
-1,448 |
t
| 221 |
26 0 1 2 27 3 4 3 2 1 0 3 0 0 1 0 0 0 6
5,117 |
3,
| 581 |
647 t
| 222 |
50 1 1 2 27 0 4 0 2 1 0 2 0 1 1 1 0 0 6
5,
|
| 293 |
| 4,763 |
-4,064 |
v
223 |
30 0 1 2 12 2 2 2 2 1 0 4 0 1 1 0 0 1 4 707 565 90 v
| 224 |
35 0 2 1 12 2 1 3 2 1 0 3 0 0 1 0 0 0 4
2,141 |
1,
| 712 |
|
| 445 |
t
225 24 1 1 2 48 0 4 4 2 2 0 3 0 0 0 0 0 0 2
4,
| 605 |
3,
|
| 684 |
-1,
| 645 |
t
| 226 |
24 2 1 1 30 2 2 2 2 1 0 4 1 1 1 0 0 0 1
| 2,150 |
1,720 |
-683 |
t
227 |
36 1 1 3 18 4 4 4 3 1 0 2 0 0 0 1 0 0 1
5,302 |
| 4,
| 771 |
|
|
| 564 |
v
| 228 |
36 2 0 1 48 1 4 0 3 1 0 4 0 0 0 1 0 0 1
12,169 |
7,301 |
| 1,522 |
t
229 49 3 0 1 18 1 4 3 1 1 0 4 0 1 1 0 0 0 4
1,445 |
1,011 |
235 t
230 44 1 1 2 24 4 4 4 3 2 0 2 0 0 0 1 0 0 2
6,
|
| 419 |
4,493 |
763 t
| 231 |
37 3 0 2 24 4 2 3 1 2 0 4 0 1 1 0 0 1 1
1,
|
|
| 344 |
|
| 806 |
–
|
|
|
| 348 |
v
232 26 3 1 1 24 2 4 1 2 1 0 2 0 0 1 0 0 0 3
3,749 |
| 2,624 |
|
| 612 |
v
| 233 |
34 1 1 1 24 2 1 3 3 1 0 2 0 0 0 1 0 0 2
2,
| 910 |
|
| 1,455 |
306 t
234 24 2 2 1 60 2 2 1 3 1 0 4 0 0 1 0 0 0 1
7,
| 408 |
5,926 |
-3,
| 545 |
v
235 25 2 3 1 18 2 3 1 2 1 1 1 0 0 0 0 0 1 4
3,213 |
| 1,
| 927 |
| 434 |
t
236 38 0 0 1 18 4 4 0 3 1 0 2 0 0 1 1 0 0 2
| 3,229 |
3,229
1,119 |
t
237 36 3 1 2 12 3 2 2 2 1 0 2 0 1 1 1 0 0 1
2,247 |
| 1,797 |
338 t
| 238 |
23 0 1 2 10 4 3 1 2 1 1 1 0 0 0 0 0 1 3
| 2,146 |
1,
| 716 |
|
| 320 |
v
239 25 0 0 1 22 2 4 3 2 1 1 4 0 0 0 0 0 0 1
1,
|
| 283 |
|
| 898 |
215 t
240 39 1 1 1 36 2 4 3 3 2 0 2 0 1 0 1 0 0 1
3,249 |
2,599 |
564 t
241 27 0 1 2 24 3 2 1 2 1 0 2 0 1 1 1 0 0 6
8,648 |
6,918 |
-4,433 |
t
|
| 242 |
42 0 1 2 12 4 2 0 3 1 0 4 0 1 1 1 0 0 6
| 2,
|
| 292 |
2,292
-1,
|
|
| 437 |
t
| 243 |
47 2 1 2 12 4 3 3 1 2 0 2 0 0 1 0 0 1 1
| 958 |
670 105 t
244 |
36 1 1 3 6 4 4 0 3 1 0 4 0 0 0 1 0 0 3
| 1,872 |
1,
| 497 |
155 t
245 |
29 2 1 2 20 3 3 2 2 1 0 2 0 1 1 1 0 0 0
| 2,629 |
1,
| 577 |
258 v
246 |
34 0 1 2 12 0 4 4 2 1 0 2 0 0 1 0 0 0 3
2,759 |
2,207 |
|
| 421 |
t
247 34 2 1 1 12 2 1 1 3 1 1 3 0 0 0 0 0 1 3
| 3,017 |
2,715 |
| 656 |
t
248 28 1 1 1 9 2 3 2 1 1 0 4 0 0 1 0 0 0 1
|
|
| 654 |
457
-188 |
t
249 57 1 4 2 30 2 4 4 2 1 1 4 0 0 0 1 0 0 3
3,
|
| 622 |
| 2,173 |
302 v
|
| 250 |
27 0 2 2 6 4 1 2 2 1 0 1 0 0 1 0 0 0 4 1,237
|
|
| 1,113 |
195 v
251 49 3 2 1 9 2 4 4 2 1 0 2 0 0 1 0 0 1 4
| 1,126 |
|
|
| 563 |
92 v
| 252 |
26 3 1 1 15 2 4 3 2 1 1 2 0 0 0 1 0 0 6
| 2,
| 687 |
2,687
| 791 |
t
253 53 1 1 2 48 0 4 2 2 2 0 3 0 0 0 0 0 0 3
7,119 |
5,
| 695 |
-2,010 |
t
254 41 0 1 1 12 3 4 2 2 1 1 4 0 0 0 0 0 1 2
1,503 |
1,503
| 427 |
t
| 255 |
31 1 0 1 30 2 4 4 2 1 0 4 0 0 1 0 0 0 3
6,350 |
3,810 |
–
| 1,
|
| 837 |
t
256 |
34 1 1 2 48 2 1 3 2 1 0 1 1 0 1 1 0 1 4
6,
|
|
| 999 |
4,
|
| 899 |
-1,
|
| 881 |
t
|
| 257 |
29 3 1 1 6 3 1 1 2 1 0 2 0 1 1 0 0 0 4 683 341 49 t
258 26 0 0 1 24 2 4 0 3 1 1 2 0 0 0 1 0 0 2
| 5,433 |
4,
| 889 |
| 1,312 |
v
259 |
26 0 1 1 9 2 2 2 2 1 1 4 0 0 0 0 0 1 3
| 1,388 |
| 1,249 |
366 t
260 36 0 4 1 21 2 4 4 1 1 0 4 0 1 1 0 0 1 6 1,572
1,100 |
|
| 265 |
t
261 34 2 1 1 24 1 4 3 1 1 0 4 0 1 0 0 0 0 5 1,837
1,102 |
–
| 822 |
t
262 29 1 4 1 21 2 2 1 2 1 0 4 0 1 1 0 0 0 4
3,
|
|
| 357 |
2,
|
|
| 685 |
|
|
| 766 |
v
263 |
38 0 0 1 48 2 2 2 2 1 0 4 0 1 1 0 0 1 6
3,914 |
| 2,348 |
–
| 1,440 |
t
| 264 |
23 2 0 1 15 2 1 1 2 1 0 4 0 0 1 0 0 0 4
1,
| 444 |
1,010 194 t
265 40 0 2 1 15 2 2 2 3 1 0 3 0 0 1 1 0 0 5
4,
| 623 |
2,
|
| 773 |
-2,096 |
t
266 45 1 1 1 24 2 1 4 2 1 0 4 0 0 1 0 0 1 1
2,
| 303 |
2,072 |
–
| 968 |
t
267 |
50 0 1 2 21 2 2 4 2 1 0 4 0 0 1 0 0 1 3 2,241
1,
|
| 792 |
343 t
268 42 0 1 1 60 2 4 4 3 1 0 2 0 0 1 1 0 0 1
10,366 |
7,256 |
1,522 v
269 |
33 0 1 2 15 3 3 2 2 1 0 4 0 1 1 0 0 1 4
1,
| 478 |
| 1,330 |
255 t
270 |
29 2 2 1 24 2 1 1 2 1 0 2 0 0 1 0 0 0 4
2,896 |
2,027 |
390 v
| 271 |
47 3 2 1 24 2 2 4 2 1 0 4 0 0 0 1 0 0 4
1,377 |
|
|
| 688 |
143 v
272 |
46 0 0 1 21 2 4 4 3 1 0 4 0 0 1 1 0 1 2
2,476 |
1,
| 733 |
453 t
273 24 1 1 1 12 2 2 2 1 1 0 4 0 0 1 0 0 1 1
1,228 |
736
| -376 |
v
274 |
44 2 1 1 8 2 2 3 1 1 0 4 1 0 1 0 0 1 4
| 760 |
| 608 |
135 t
275 41 0 0 1 21 2 3 4 2 1 0 4 0 0 1 1 0 0 4
| 3,160 |
2,212 429 t
|
| 276 |
23 2 2 1 12 2 4 3 1 1 1 2 0 0 0 0 0 1 6 841 841 249 t
277 24 1 1 1 12 2 3 2 1 1 0 4 0 0 1 0 0 0 4
2,214 |
1,328 |
266 t
278 |
36 0 1 1 21 4 4 4 3 1 0 1 0 0 1 1 0 0 2
|
| 3,275 |
3,275
| 880 |
v
279 31 2 1 1 12 0 2 2 1 1 0 2 0 0 1 1 0 1 0
1,
| 410 |
|
|
| 846 |
161 t
| 280 |
27 0 0 2 6 4 2 2 2 1 0 1 0 0 1 0 0 0 3
1,221 |
|
| 854 |
148 t
| 281 |
24 1 1 2 20 4 4 4 2 1 0 1 0 0 1 0 0 0 3
|
| 4,272 |
4,272
| 1,000 |
t
282 24 1 1 2 36 4 4 3 2 1 0 4 0 0 1 1 0 0 2
9,629 |
5,
|
| 777 |
-1,
| 853 |
v
283 41 1 1 1 36 2 2 4 2 2 0 2 0 1 1 0 0 0 3
2,712 |
1,627 -603 t
284 29 1 1 2 45 0 4 4 2 1 1 2 0 0 0 0 0 0 6
11,816 |
| 7,089 |
-4,581 |
t
285 |
23 0 1 1 18 2 4 1 2 1 0 4 0 0 1 0 0 1 0
1,
| 943 |
1,
| 360 |
-792 |
t
286 35 0 1 2 15 4 4 2 2 1 0 4 0 0 0 1 0 0 4
1,
| 471 |
882 85 v
287 |
35 1 1 1 24 2 4 1 2 1 0 4 0 0 1 1 0 1 4
2,
|
|
| 439 |
2,195 |
-1,208 |
t
| 288 |
26 1 2 2 24 4 1 3 2 1 0 4 0 0 1 1 0 1 6
1,
| 382 |
967 141 t
| 289 |
36 2 0 2 30 4 4 4 2 1 0 4 0 0 1 0 0 1 1
2,181 |
1,
| 962 |
| 319 |
v
290 |
38 1 1 2 12 4 4 2 1 1 0 4 0 1 1 0 1 0 1
| 2,171 |
1,
|
| 519 |
261 t
291 42 0 0 2 36 4 4 4 2 1 0 2 0 0 0 0 0 0 2
10,
|
| 477 |
5,238 |
|
| 604 |
v
292 25 2 0 1 30 2 4 4 2 1 0 2 0 0 1 0 0 0 4
2,
| 991 |
2,
|
| 691 |
|
|
|
| 802 |
v
293 22 1 1 1 9 2 4 1 2 1 1 3 0 0 0 0 0 0 4
| 1,366 |
| 1,092 |
–
|
|
| 502 |
v
294 |
30 0 1 2 9 4 1 2 2 1 0 3 0 0 1 0 0 1 1
| 1,224 |
1,101 |
221 t
295 |
31 0 0 1 24 2 2 3 2 1 0 4 0 1 1 1 0 0 3 929
|
| 557 |
123 v
296 28 2 3 1 24 2 4 1 2 1 1 3 0 0 0 0 0 0 2
4,113 |
2,879 |
-1,160 |
v
297 29 0 0 1 15 2 2 2 2 1 0 3 0 0 1 0 0 0 1
3,
|
| 556 |
2,844 |
| 632 |
v
298 |
29 1 1 2 24 1 4 0 0 1 1 1 0 0 0 0 0 0 1
1,193 |
954
–
|
|
|
| 424 |
t
299 28 3 2 1 21 2 1 2 3 1 0 1 0 1 1 1 0 0 1
2,
| 923 |
1,
|
| 753 |
357 t
300 23 1 0 2 18 2 4 3 1 1 1 2 0 0 0 0 0 0 4
| 1,936 |
1,936 504 t
301 45 1 1 1 42 2 4 3 2 2 0 2 1 0 0 0 0 0 3
7,882 |
4,729 |
792 v
302 60 1 1 2 24 4 4 4 1 1 0 4 0 0 1 0 0 0 1
| 1,199 |
959
-289 |
v
303 44 2 2 1 12 4 4 1 2 1 0 3 0 0 1 0 0 0 2
|
| 1,804 |
1,623 |
| 407 |
t
304 57 0 0 1 12 4 4 4 1 1 1 4 0 0 0 0 0 0 6
| 1,264 |
| 1,137 |
275 v
305 24 1 2 2 30 4 4 3 2 1 1 1 0 0 0 0 0 0 2
6,187 |
4,
| 949 |
| 997 |
t
306 31 0 0 1 18 2 1 2 2 1 0 2 0 0 1 1 0 0 2
3,378 |
2,026 |
389 v
307 25 2 1 1 48 0 2 2 2 1 0 2 0 0 1 1 0 0 6
14,421 |
10,094 |
-7,360 |
t
308 41 2 1 2 42 4 1 3 1 1 0 2 0 1 1 0 0 1 6
5,954 |
4,763 1,000 t
309 |
58 1 1 1 24 2 4 4 1 1 0 4 1 0 1 1 0 1 0
1,
| 755 |
| 1,053 |
211 t
| 310 |
20 3 0 2 24 4 4 4 2 1 1 4 0 0 0 0 0 0 3
3,
| 617 |
2,170 |
265 v
311 35 2 1 1 9 4 3 3 2 1 1 4 0 0 0 1 0 0 3
|
| 1,
| 919 |
| 1,535 |
328 v
312 25 0 1 2 36 4 2 2 2 1 0 4 0 1 1 1 0 1 1
7,
|
| 855 |
4,
| 713 |
–
| 1,
|
|
| 659 |
t
313 63 3 1 2 10 4 4 4 2 1 0 4 0 0 0 1 0 0 1
| 781 |
390 31 v
314 |
47 0 1 2 18 2 4 2 2 1 0 4 0 1 0 0 0 0 3
1,
|
| 984 |
1,
|
| 785 |
405 v
315 22 1 1 1 18 2 2 2 2 1 0 2 0 0 1 0 0 0 3
2,
| 462 |
|
|
| 1,231 |
-464 |
v
316 |
29 2 4 1 24 4 4 4 2 1 1 2 0 0 0 0 0 0 2
7,758 |
4,654 |
900 v
| 317 |
70 2 1 1 10 2 4 0 3 1 0 2 0 1 0 1 0 0 1
7,308 |
6,577 |
2,059 |
t
318 33 2 1 1 8 2 2 2 2 1 0 4 1 0 1 0 1 1 4
1,414 |
848 194 v
319 50 0 4 1 24 4 4 2 2 1 0 4 0 0 1 1 0 1 3
3,777 |
2,266 |
|
| 492 |
v
320 29 0 1 1 6 2 2 3 2 1 1 2 0 0 0 0 0 1 4
2,108 |
1,
| 897 |
606 t
321 |
21 1 1 1 12 2 4 3 2 1 1 4 0 0 0 0 0 0 0
|
|
| 902 |
902
-273 |
t
|
|
| 322 |
66 3 1 1 30 3 4 4 3 1 0 4 0 0 1 1 0 1 6
| 1,
| 908 |
|
| 1,526 |
-1,279 |
v
323 32 0 0 2 24 3 4 2 2 2 0 4 0 0 1 1 0 1 6
|
|
| 2,
| 978 |
2,978 797 v
|
| 324 |
25 2 1 1 18 2 2 2 1 1 0 4 1 0 1 0 0 1 4 866
| 779 |
199 t
325 27 0 1 2 12 4 2 2 2 1 0 3 0 0 1 0 0 1 6
| 1,185 |
|
| 592 |
73 t
326 |
35 0 2 2 24 3 3 2 2 1 0 2 0 0 1 0 0 0 3
4,151 |
2,
| 490 |
|
| 413 |
v
| 327 |
57 0 1 3 12 4 4 4 1 1 0 2 0 1 0 0 0 0 5
2,
| 748 |
1,648 |
115 v
328 28 2 1 2 48 2 4 3 2 1 0 4 0 0 1 0 0 1 4
3,060 |
1,
|
| 836 |
-836 |
v
329 63 0 0 1 15 4 4 4 2 1 0 4 0 0 1 0 0 0 3
1,
| 520 |
1,064 |
225 t
330 56 3 1 1 42 4 4 4 2 1 0 4 0 0 0 0 0 0 2
4,
| 796 |
3,357 |
|
| 764 |
t
331 49 1 1 2 10 4 3 3 2 1 0 4 0 0 1 1 0 0 1
1,038 |
| 830 |
126 v
332 |
25 2 1 1 12 2 3 3 1 1 0 2 0 1 1 0 0 0 1 685 685
| -256 |
t
333 28 1 4 1 18 2 2 2 2 1 0 4 0 0 1 0 0 0 3
2,659 |
1,329 |
238 t
334 24 0 2 2 48 4 4 2 1 1 1 2 0 1 0 0 0 0 2
| 11,590 |
11,590
-4,476 |
t
335 |
33 2 1 1 18 2 1 4 3 1 0 1 0 1 1 1 0 1 6
4,439 |
3,551 |
950 t
| 336 |
28 1 1 2 12 0 2 2 2 1 1 4 0 0 0 1 0 0 4
6,199 |
3,
|
| 719 |
-1,466 |
t
337 21 0 1 1 6 2 2 2 2 1 1 1 0 0 0 0 0 0 3
| 1,766 |
1,766 567 t
338 63 0 0 1 60 4 4 4 3 1 0 2 0 1 0 1 0 0 1
13,756 |
8,253 |
1,802 |
v
|
| 339 |
26 3 1 1 12 2 1 1 2 1 0 4 0 0 1 0 0 1 1 1,330
|
| 798 |
181 t
340 |
31 1 1 1 6 4 4 3 2 1 0 1 0 0 1 0 0 0 4 1,957
1,
| 369 |
292 t
341 27 0 1 2 14 3 2 2 1 1 0 4 0 0 1 0 0 0 1 802 802 165 t
342 40 0 3 1 10 2 2 2 1 2 1 3 0 0 0 0 1 0 1 1,597
1,277 |
343 v
343 34 0 2 2 21 3 3 3 3 1 0 4 0 0 1 0 0 1 3
1,
| 591 |
1,
|
| 431 |
249 v
344 33 0 1 2 24 4 2 2 2 1 0 4 0 0 1 1 0 1 0
2,058 |
1,
| 646 |
253 t
345 41 0 1 1 12 2 4 4 1 2 0 4 0 1 1 0 0 0 5 719 431
-280 |
t
|
| 346 |
35 0 1 1 24 2 4 4 3 1 0 4 0 0 1 1 0 0 2
2,670 |
1,
| 869 |
424 v
| 347 |
38 2 0 2 12 2 4 4 2 1 0 4 0 0 1 0 0 0 0
|
| 754 |
| 452 |
75 v
348 36 0 0 1 6 2 4 0 3 2 0 4 0 0 1 1 0 0 0
| 1,238 |
742 137 t
349 30 0 4 2 15 3 2 3 2 1 0 3 0 0 1 0 0 0 3
|
| 960 |
960 195 t
350 38 2 0 1 6 2 4 4 2 1 0 4 0 0 1 0 0 0 4
| 368 |
257 63 v
| 351 |
38 2 2 2 24 4 4 1 2 2 0 4 0 1 1 0 0 0 4
1,216 |
972
–
|
|
|
|
| 481 |
t
352 20 2 1 2 12 3 4 2 2 1 1 4 0 0 0 0 0 1 4 585 526 91 t
353 23 0 2 1 24 2 4 3 2 1 0 3 0 0 1 0 0 0 2
| 3,488 |
1,744 |
359 t
354 26 0 2 1 24 2 3 3 2 1 0 4 0 0 1 1 0 0 4
1,311 |
1,048 306 t
355 34 3 1 1 18 2 1 2 1 2 0 2 0 0 1 0 0 1 3
2,864 |
1,718
–
| 559 |
t
356 27 2 2 1 12 4 1 1 2 1 0 4 0 0 1 0 0 0 1
1,
|
|
| 995 |
1,795
| 579 |
v
357 37 2 0 1 36 2 4 2 2 1 0 1 0 0 0 1 0 0 1
1
| 2,389 |
8,672 |
-3,366 |
t
358 |
22 1 1 1 15 2 4 2 1 1 0 4 0 0 1 0 0 0 6 806
|
| 725 |
226 t
359 33 2 1 1 36 2 1 1 1 1 1 4 0 0 0 0 0 0 0
2,
|
|
| 384 |
1,907 |
-594 |
v
360 20 2 1 1 24 2 4 2 1 1 1 3 0 0 0 1 0 0 1
| 2,718 |
1,
|
| 630 |
–
| 831 |
t
| 361 |
28 0 1 1 36 2 2 2 3 1 0 4 0 0 1 1 0 0 3
| 3,349 |
2,344 |
-1,215 |
t
|
| 362 |
22 1 1 1 24 1 4 2 2 1 1 1 1 1 0 0 1 0 2
3,632 |
2,179 |
392 t
363 22 1 1 1 12 2 1 1 2 1 1 4 0 0 0 0 0 0 3
1,
| 858 |
1,486 409 v
364 19 0 1 2 9 2 2 1 2 1 1 2 0 0 0 0 0 0 3
1,980 |
1,188 |
-398 |
v
365 33 0 1 2 24 4 2 3 2 1 0 4 1 0 1 1 0 0 4
1,
| 851 |
1,
| 665 |
365 t
366 42 2 2 4 36 3 4 4 3 1 0 2 0 0 1 1 0 0 1
8,086 |
4,043 |
-1,
| 774 |
t
367 |
35 2 1 2 6 3 1 0 3 1 0 4 0 1 1 1 0 0 3 1,050
| 735 |
88 t
368 24 0 3 1 6 4 2 2 2 1 0 1 0 0 1 0 0 0 1
2,080 |
1,872 568 t
369 47 0 1 3 24 4 3 1 2 1 0 3 0 0 0 1 0 0 4
5,103 |
4,592 |
439 t
370 |
44 1 0 2 6 4 3 1 1 2 0 1 0 0 1 0 0 1 1
4,716 |
4,244 |
747 v
| 371 |
41 2 2 2 30 3 2 4 2 1 0 4 0 1 1 0 0 0 6
2,503 |
| 2,002 |
313 t
372 25 1 1 2 9 4 4 2 1 1 0 4 0 0 1 0 0 1 4
1,138 |
682 103 t
|
|
| 373 |
66 2 3 1 9 2 3 2 1 1 0 4 0 0 1 0 0 1 4 790 553 143 t
| 374 |
28 0 4 1 24 2 4 2 2 1 1 2 0 0 0 1 0 0 2
2,603 |
| 1,822 |
365 t
375 22 1 3 1 24 1 4 2 2 1 0 4 0 1 1 1 0 1 3
2,
| 483 |
2,234 |
565 v
376 25 0 1 2 30 4 2 3 2 1 0 4 0 0 1 0 0 0 4
5,771 |
5,193 |
| 1,122 |
v
377 30 0 0 1 21 4 4 4 3 1 0 4 0 0 0 1 0 0 1
12,
| 680 |
6,340 |
-2,
| 703 |
t
378 52 0 2 2 24 4 4 4 2 1 0 4 0 1 1 0 0 0 4
2,223 |
| 1,333 |
188 t
379 |
23 2 2 1 12 2 2 1 1 1 0 4 0 1 1 0 0 0 1 836 501
-192 |
v
| 380 |
51 3 1 1 24 2 4 4 2 1 0 3 0 0 0 0 0 0 3
2,
|
| 892 |
2,313 |
589 t
381 35 0 0 2 12 4 4 4 2 1 0 4 0 0 1 0 0 0 4 976 488 52 t
382 54 1 1 1 48 2 4 2 2 1 0 3 0 0 1 0 0 0 0
3,051 |
| 1,830 |
–
| 555 |
v
383 47 1 1 2 8 4 4 4 1 1 0 4 0 0 1 0 0 1 1
| 731 |
| 438 |
42 t
384 42 2 0 1 24 2 4 4 2 1 0 2 0 0 1 1 0 0 4
5,084 |
3,
| 558 |
936 t
385 50 0 1 1 24 1 4 3 2 1 0 4 0 1 1 1 0 0 6
1,559 |
1,091 237 v
386 32 1 1 2 18 1 4 3 1 2 0 4 0 0 0 0 0 0 1
|
| 1,442 |
1,009
-573 |
t
387 |
32 0 4 2 27 4 2 1 1 2 0 4 0 1 1 1 0 1 3
| 4,526 |
4,073 |
784 v
388 24 0 0 1 15 2 1 1 2 1 0 4 0 0 1 0 0 1 0
| 874 |
611 125 t
389 65 0 1 2 18 4 4 0 0 1 0 4 0 0 1 0 0 0 4
|
| 1,098 |
|
|
| 658 |
90 t
390 34 2 1 2 36 4 4 2 2 1 0 3 0 0 1 1 0 0 2
5,
| 800 |
4,
|
|
| 640 |
651 t
391 |
40 0 0 1 15 2 2 2 2 1 1 4 0 0 0 1 0 1 4
| 1,386 |
693 150 t
392 28 0 4 1 11 2 2 4 2 1 0 1 0 0 1 1 0 1 6
2,142 |
1,
|
| 499 |
344 v
393 30 2 1 1 12 2 4 3 2 2 1 3 0 0 0 1 0 0 1 2,002
1,
|
| 801 |
| 465 |
v
394 42 0 3 2 12 4 4 4 2 2 0 4 0 0 1 1 0 0 4 522 261 36 t
395 |
42 0 1 3 4 4 1 3 1 2 0 2 0 0 1 0 0 1 1 1,455 1,455 176 t
|
| 396 |
26 0 1 2 36 2 2 0 3 1 0 4 0 0 1 1 0 0 3
10,
| 974 |
6,
| 584 |
-2,
|
| 944 |
t
397 35 0 3 2 24 2 2 4 2 1 0 3 0 1 1 1 0 0 4
2,397 |
1,
| 677 |
| -538 |
t
398 36 1 1 1 60 2 4 4 2 1 1 4 0 0 0 0 0 0 6
7,297 |
3,648 |
-2,507 |
t
399 26 1 1 1 36 2 2 2 2 2 0 2 0 0 1 0 0 0 2
8,229 |
6,
| 583 |
-2,272 |
t
| 400 |
30 1 1 1 36 2 3 0 3 1 0 4 0 0 1 1 0 0 3
| 3,959 |
3,167 |
| 916 |
t
401 53 1 1 2 24 3 4 2 2 2 0 3 0 0 0 0 0 0 1
4,
| 870 |
2,922 |
-1,742 |
v
402 28 1 1 1 15 2 4 2 2 1 1 2 0 0 0 0 0 0 1
1,403 |
1,122 257 t
403 26 0 0 2 10 4 1 2 2 1 0 2 0 0 1 0 1 0 3
| 2,069 |
1,862 |
428 v
404 |
33 3 1 1 12 2 1 1 3 1 0 4 0 1 1 1 0 0 3
| 1,
| 474 |
1,474 |
454 v
405 58 1 1 2 48 4 4 4 1 1 0 4 0 1 0 0 0 0 2
6,143 |
3,685 |
-1,770 |
t
406 57 2 1 2 36 3 4 4 2 1 0 4 0 1 0 1 0 0 1
2,225 |
1,
|
| 780 |
-747 |
t
407 26 0 1 1 24 2 4 1 2 1 0 4 0 0 1 1 0 0 4
| 3,181 |
2,
| 544 |
| 598 |
v
408 40 1 0 1 36 2 4 4 3 1 0 4 0 0 1 1 0 0 5
1,
| 977 |
1,383 |
-961 |
t
409 52 1 1 1 10 2 4 4 1 1 0 3 0 0 1 0 0 1 4
2,315 |
2,083 |
648 t
410 54 2 4 1 12 2 4 4 2 1 0 4 0 0 1 1 0 1 1
1,318 |
1,186 |
348 t
|
| 411 |
26 0 0 1 12 2 4 1 2 1 1 2 0 0 0 1 0 0 2
| 2,445 |
2,445 654 v
412 35 1 3 1 12 2 1 4 2 1 0 3 0 0 1 0 0 1 4
1,680 |
|
| 1,344 |
349 t
413 27 2 0 1 18 2 3 1 2 1 1 4 0 0 0 0 0 1 3
1,924 |
1,924
–
| 843 |
t
414 21 0 2 1 60 2 4 3 2 1 0 2 0 0 1 1 0 1 4
10,144 |
8,115 |
2,159 |
v
415 23 0 1 1 21 4 4 1 2 1 0 4 0 0 1 1 0 0 3
2,288 |
1,830 389 t
416 36 2 2 1 24 3 4 3 3 1 1 4 0 0 0 1 0 0 6
6,967 |
4,
|
| 876 |
|
| 989 |
v
417 |
36 0 3 1 36 2 4 4 2 1 0 4 0 0 1 0 0 0 1
|
|
| 909 |
|
|
| 727 |
192 t
418 |
26 1 1 2 21 3 1 1 2 1 0 2 0 0 1 0 0 0 5
3,414 |
2,048 |
–
| 1,278 |
t
419 36 2 1 1 18 4 4 4 2 2 0 4 0 1 1 1 0 0 1 884 442
-134 |
v
| 420 |
21 2 2 1 45 2 4 2 2 1 1 4 1 0 0 0 0 0 4
3,031 |
| 2,424 |
-997 |
t
421 38 0 1 2 12 4 1 4 1 2 0 4 0 0 1 0 0 1 1
1,
| 495 |
1,196 |
181 t
422 |
51 0 0 1 36 4 2 4 2 1 0 4 0 0 1 1 0 0 4
3,342 |
2,673 |
725 v
|
| 423 |
30 0 1 1 15 2 2 2 2 1 0 3 0 0 1 1 0 0 2
4,657 |
4,191 |
|
| 1,287 |
t
424 42 0 1 3 4 4 1 3 1 2 0 2 0 0 1 0 0 1 4
1,544 |
1,235 |
94 t
425 35 0 3 1 12 1 3 2 1 2 0 4 0 0 1 0 0 1 0
3,447 |
2,412 |
|
| 509 |
t
426 24 2 0 1 9 2 1 3 2 1 0 2 0 0 1 1 0 0 3
2,030 |
| 1,
| 827 |
499 t
427 32 0 1 2 10 4 4 4 1 2 0 3 0 0 1 0 1 1 1 1,231 984 151 v
428 34 1 1 1 30 2 1 1 1 1 0 1 0 0 1 1 0 0 0
11,
| 998 |
10,798 |
-4,141 |
v
429 37 2 2 1 24 4 2 1 2 1 0 4 0 0 1 1 0 0 1
3,
| 878 |
| 2,326 |
563 t
430 46 0 0 2 48 4 2 4 3 2 0 4 0 1 1 0 0 0 6
7,629 |
6,103 |
863 t
431 44 0 3 1 48 4 2 2 2 1 0 2 0 1 0 0 0 0 1
10,127 |
6,076 |
-2,454 |
t
432 |
29 3 0 1 4 2 2 1 1 2 0 1 0 0 1 0 1 1 1
1,494 |
1,344 411 t
433 36 0 1 2 18 4 3 2 2 1 0 4 0 0 1 0 0 1 1
1,028 |
|
|
| 925 |
153 t
434 23 1 1 2 24 0 4 4 2 2 1 3 0 1 0 0 0 0 3
4,110 |
3,
|
| 699 |
-2,183 |
v
435 37 3 1 1 10 2 1 1 1 2 0 1 1 0 1 0 0 0 1
3,949 |
3,159 |
925 v
| 436 |
46 0 3 1 10 2 4 4 2 1 0 4 0 0 0 1 0 0 5 727 508 136 v
437 25 1 1 1 18 2 1 0 0 1 0 4 0 0 1 0 0 0 3
2,473 |
1,978 |
-1,048 |
t
438 60 2 2 2 60 1 4 4 3 1 0 3 0 1 0 1 0 0 0
14,
|
| 782 |
7,391 |
-2,656 |
v
439 26 0 2 2 30 3 2 2 1 1 0 2 0 0 1 0 0 0 6 4,272
2,563 |
249 t
440 31 0 1 1 9 4 3 0 3 1 0 2 0 0 1 0 0 0 3
| 2,406 |
1,924 437 t
| 441 |
43 2 0 1 18 3 4 4 2 2 0 4 0 0 1 0 0 0 1
2,899 |
2,
|
|
|
| 609 |
| 826 |
v
442 35 1 0 1 24 2 2 2 2 1 0 4 0 0 1 0 0 0 1
1,381 |
| 1,242 |
–
| 443 |
t
443 25 2 0 1 12 2 2 4 2 1 0 1 0 1 1 1 0 0 3
2,
|
| 762 |
1,657
–
| 638 |
t
444 25 1 1 1 9 2 2 2 2 1 0 3 0 0 1 0 0 1 3
| 2,136 |
1,708 |
481 t
445 30 2 1 1 48 4 3 2 3 1 0 2 0 0 1 1 0 0 3
5,096 |
4,076 |
-1,
| 739 |
t
446 31 1 1 1 24 2 3 3 2 1 0 2 0 0 1 1 0 0 1
4,817 |
2,
|
| 890 |
-1,
|
| 679 |
v
447 34 0 1 2 18 2 1 3 2 1 0 4 0 1 1 1 0 0 6
1,950 |
1,170 |
160 v
448 33 2 1 1 18 4 2 2 2 1 0 4 0 0 1 0 0 0 4
1,245 |
|
| 996 |
-453 |
t
449 |
44 0 3 1 12 4 4 2 2 1 0 4 0 0 1 1 0 1 1
1,163 |
814 193 t
450 |
39 1 1 2 12 4 2 2 1 2 1 3 0 0 0 0 1 1 1
2,122 |
| 1,061 |
133 v
451 |
24 1 1 1 24 2 4 1 2 1 1 4 0 0 0 0 0 0 1
| 1,207 |
844
-375 |
t
452 54 0 0 1 24 2 1 1 2 1 0 4 0 0 1 0 0 0 1
2,255 |
1,804 423 v
453 26 2 1 1 18 2 4 2 1 2 0 4 1 0 1 0 0 1 4 1,113 1,113 371 t
454 25 0 0 2 24 2 2 1 2 1 0 4 0 0 1 0 0 0 4
| 3,105 |
3,105 708 t
455 61 0 1 2 12 4 4 4 1 1 0 4 0 0 1 0 0 1 1
1,255 |
627 87 t
456 67 2 1 2 9 2 4 3 3 1 0 4 0 0 1 1 0 0 5 1,199
1,079 |
215 v
457 37 2 0 2 24 3 2 2 3 1 0 4 0 1 1 1 0 0 6
4,712 |
3,298 |
437 t
458 27 2 1 2 9 2 4 4 1 1 0 4 0 0 1 0 0 0 4
| 1,082 |
|
| 973 |
215 t
459 52 0 0 1 12 2 4 4 3 1 0 4 0 0 0 1 0 0 1
2,133 |
1,919
| 600 |
t
460 |
40 1 0 1 24 1 3 4 3 1 0 4 0 1 1 1 0 0 0
| 1,358 |
950 -376 v
461 |
23 3 1 1 10 2 2 1 2 1 0 4 0 0 1 0 0 0 3
|
| 1,275 |
| 765 |
156 t
462 22 0 1 1 18 3 1 3 2 1 0 4 0 0 1 0 0 1 3
1,
| 808 |
1,265 |
-751 |
v
| 463 |
65 1 1 2 18 2 4 2 2 1 0 4 0 0 0 0 0 0 4
2,600 |
1,
| 560 |
-557 |
t
464 25 2 1 1 24 2 4 1 1 1 0 3 0 0 1 1 0 0 1 1,355
|
| 948 |
| -325 |
t
465 32 1 1 2 18 4 1 3 3 1 0 4 0 0 1 1 0 0 4
1,880 |
| 1,316 |
219 v
466 35 0 1 2 24 4 3 3 2 1 0 4 0 0 1 1 0 0 2
2,346 |
1,407 |
222 t
467 50 3 1 1 6 4 4 2 1 1 0 2 0 0 1 0 0 0 5
1,047 |
| 523 |
73 t
468 41 0 3 1 21 3 2 1 1 2 0 4 0 1 1 0 0 1 6
2,
|
| 580 |
1,290 |
-805 |
t
469 |
31 2 2 2 36 3 3 3 1 2 0 1 0 0 1 1 0 0 6
9,
|
| 857 |
6,899 |
1,312 t
470 28 0 1 1 24 2 2 3 2 1 0 4 0 0 1 1 0 0 4
| 2,284 |
1,827 525 t
471 32 2 1 1 27 2 1 1 2 2 0 4 0 0 1 1 0 0 6
2,
| 528 |
1,
|
|
| 769 |
424 t
| 472 |
27 2 1 1 60 2 2 3 3 1 0 4 0 0 1 1 0 0 1
14,027 |
7,013 |
–
|
| 2,463 |
v
473 21 0 1 1 27 2 3 2 2 1 1 3 0 0 0 0 0 1 1
2,
|
| 570 |
1,
|
|
|
| 799 |
–
| 1,039 |
v
474 37 0 1 1 4 4 1 3 2 2 0 1 0 0 1 0 0 1 1
3,380 |
2,
| 704 |
589 v
475 |
30 1 0 2 39 4 4 3 3 1 0 4 0 0 1 1 0 0 3
14,179 |
7,089 662 v
476 55 0 4 2 12 3 4 4 2 2 0 4 0 0 0 0 0 0 0
1,555 |
933
-545 |
t
477 27 0 2 2 24 4 3 3 2 1 0 4 0 0 1 1 0 0 1 2,463 2,463 658 v
478 66 3 3 3 12 4 4 0 0 1 0 2 0 1 0 0 0 0 1
1,
| 480 |
1,036 |
62 t
479 60 2 0 1 20 2 4 0 3 1 0 1 0 0 1 1 0 1 2
|
| 6,468 |
6,468
2,006 |
t
480 32 0 3 1 24 2 3 4 2 1 1 4 0 0 0 1 0 0 3
3,062 |
1,
| 531 |
317 v
481 24 2 0 1 12 2 2 0 0 1 1 1 0 0 0 0 0 1 1
7,472 |
5,230 |
| 1,339 |
t
| 482 |
46 1 1 1 48 2 4 3 2 2 0 4 0 0 0 0 0 0 1
3,931 |
3,537 |
-1,
| 985 |
v
483 35 0 1 2 18 4 2 1 3 1 0 3 0 0 1 1 0 0 3
3,780 |
| 1,890 |
231 t
484 25 3 1 1 15 2 3 1 1 1 0 2 0 0 1 0 0 1 4
| 2,327 |
2,327
–
| 772 |
v
485 47 0 1 3 18 2 4 4 2 2 0 4 0 1 1 1 0 0 3
3,422 |
3,079 322 t
486 45 0 1 2 36 3 2 4 2 2 0 2 0 0 1 1 0 0 1
10,
| 875 |
7,612 |
1,341 |
t
| 487 |
25 0 1 1 10 2 2 2 1 1 1 2 0 1 0 0 0 1 3
2,210 |
1,989 |
-948 |
v
488 29 1 1 1 12 2 2 2 1 2 0 2 0 0 1 0 0 0 3 3,590
3,231 |
881 v
489 |
43 2 1 1 24 2 3 3 2 1 0 3 0 0 1 1 0 0 3
4,057 |
2,839 |
-918 |
t
490 29 0 0 2 18 4 3 2 2 1 0 4 0 0 1 1 0 0 4
1,169 |
|
|
| 701 |
70 v
491 36 0 1 1 24 2 1 4 3 1 0 4 0 0 1 1 0 1 4 1,278
1,022 |
247 t
492 31 1 1 1 24 1 2 2 2 1 1 4 0 0 0 1 0 0 6
| 3,161 |
3,161
-2,801 |
t
493 55 1 1 1 24 1 1 1 2 1 0 2 0 1 1 1 0 0 3
6,872 |
6,184 |
-2,721 |
v
494 23 1 1 1 12 2 1 2 2 1 0 4 0 1 1 0 0 0 4
| 1,498 |
1,498 439 v
495 46 1 1 1 15 2 1 1 2 1 1 4 1 0 0 0 0 0 3
1,
|
| 845 |
1,660 |
426 t
496 |
29 1 1 1 12 2 4 2 2 1 0 4 1 0 1 1 0 0 1
1,
| 893 |
1,514 363 t
497 22 2 1 1 6 2 1 1 1 1 0 3 0 0 1 0 0 0 0 454 363 81 t
498 33 0 1 1 30 4 2 2 2 1 0 4 0 0 1 1 0 0 4
2,831 |
2,264 |
535 t
499 30 0 1 2 24 4 2 3 1 1 0 2 0 0 1 0 0 0 3 2,028
1,419 |
217 t
500 |
50 0 0 1 12 2 3 4 2 1 0 4 0 0 1 1 0 0 1
2,390 |
2,151 |
652 v
501 35 0 0 1 36 2 4 2 1 2 0 2 0 0 0 1 0 0 5
9,055 |
5,433 1,032 t
502 32 1 2 1 24 2 2 2 1 1 0 4 0 0 1 0 0 0 4
| 1,282 |
769
| -352 |
t
503 36 1 1 1 6 2 2 2 1 1 0 1 0 1 1 1 0 1 3
|
| 1,374 |
961 251 t
504 25 2 1 2 45 4 2 1 1 1 0 4 0 0 1 0 0 0 4
4,746 |
| 3,322 |
-1,100 |
t
505 |
35 0 1 2 11 4 4 1 3 1 0 4 0 0 1 0 0 0 1
|
|
| 1,393 |
835 93 v
506 |
26 0 0 1 6 1 2 2 1 2 0 1 1 1 1 0 0 1 1
|
| 783 |
|
| 626 |
163 t
507 48 0 0 4 27 2 4 4 2 2 0 4 0 0 1 1 0 0 0
| 5,190 |
5,190 424 t
508 66 1 1 2 12 4 4 4 3 1 0 4 0 0 0 0 0 0 2 1,526 1,526 318 t
509 29 0 1 2 12 4 2 2 3 1 0 4 1 0 1 1 0 1 6
1,412 |
|
| 988 |
181 v
510 |
58 2 1 1 54 0 4 1 2 1 1 3 0 0 0 1 0 0 6
15,
| 945 |
7,972 |
-6,114 |
t
511 39 2 1 2 24 4 3 2 3 2 0 2 0 0 1 1 0 0 0
11,938 |
8,356 |
-3,313 |
v
512 |
47 0 0 1 48 4 1 4 2 1 0 4 0 0 1 1 0 1 4
3,578 |
|
| 2,862 |
720 t
513 |
30 1 1 2 12 4 2 2 2 1 0 4 0 0 1 0 0 0 1
2,121 |
1,908 349 v
514 38 0 0 2 12 4 2 4 2 1 0 4 0 0 1 1 0 1 4
1,240 |
868 130 t
515 |
30 2 2 1 48 1 2 3 2 1 0 4 0 0 1 0 0 0 6
3,566 |
2,139 |
481 v
516 |
20 1 1 1 12 2 4 2 2 1 1 2 0 0 0 0 0 0 3 1,282 769
-302 |
v
517 |
32 0 3 1 6 2 2 2 2 1 0 1 0 0 1 1 0 0 3 2,978 2,978 996 t
518 53 0 0 1 30 1 1 0 3 1 0 4 0 1 1 1 0 1 2
7,485 |
5,988 |
-2,232 |
v
519 31 0 1 2 15 4 2 2 2 1 0 4 0 0 1 0 0 0 4
1,360 |
1,088 |
217 t
520 34 2 1 2 9 4 3 4 3 1 0 2 0 0 1 1 0 0 5
1,501 |
| 1,200 |
-764 |
t
| 521 |
38 1 1 3 30 4 4 4 3 2 0 3 0 0 0 1 0 0 2
10,623 |
6,373 |
373 t
522 39 2 0 2 6 4 3 3 1 1 0 1 0 0 1 0 0 0 0 932 652 78 t
523 27 0 1 2 36 0 2 2 2 1 0 4 0 0 1 0 0 0 0
| 2,
| 613 |
2,613 673 t
524 |
30 1 1 1 24 2 2 0 3 2 0 4 0 1 1 0 0 0 4
1,
| 823 |
1,093 |
-648 |
v
525 25 0 1 1 24 2 1 3 2 1 0 4 0 0 1 1 0 1 6
|
| 1,258 |
754 178 t
526 27 2 0 1 60 3 1 2 1 1 0 1 0 0 1 0 0 1 4
7,418 |
5,192 |
1,304 |
t
527 37 2 1 1 15 2 3 4 2 2 0 4 0 0 1 0 0 0 4 802
|
| 561 |
| -263 |
v
528 32 0 1 1 9 2 2 2 2 2 0 1 0 0 1 0 0 1 4
2,697 |
1,887 390 t
529 |
35 1 1 1 47 2 1 1 1 1 0 1 0 0 1 1 0 1 1
10,
|
|
| 722 |
9,
| 649 |
| 2,569 |
t
530 26 2 1 1 48 2 2 1 2 1 0 1 0 0 1 1 0 0 3
9,960 |
7,968 |
-2,393 |
t
531 33 0 4 1 6 2 2 2 2 1 0 4 0 0 1 0 0 1 3
1,
|
| 543 |
| 1,234 |
341 v
532 |
31 1 1 1 36 1 4 4 2 1 0 4 0 1 1 0 0 0 3 2,746
2,196 |
-989 |
v
533 |
39 1 1 2 8 4 4 3 1 1 0 1 0 0 1 0 1 1 1
| 3,398 |
3,398
| 819 |
v
534 44 1 1 1 6 4 4 2 3 1 1 1 0 0 0 1 0 1 3
| 3,384 |
3,384
-1,846 |
t
535 43 0 1 1 15 4 2 2 1 1 0 4 0 0 1 0 0 0 4
1,459 |
1,021 |
258 t
| 536 |
23 2 1 1 24 2 2 1 1 1 0 4 0 1 1 0 0 1 1
1,246 |
1,121 |
-569 |
v
537 36 0 1 1 12 2 4 3 2 1 0 2 0 0 1 1 0 0 6
1,542 |
925 163 v
538 37 1 1 1 48 1 4 3 2 1 1 2 1 0 0 0 0 0 6
7,685 |
| 4,611 |
-3,379 |
v
539 25 0 1 2 18 4 1 2 2 1 0 2 0 0 1 0 0 0 4
2,238 |
| 1,342 |
149 v
| 540 |
32 2 2 1 39 3 3 3 2 1 1 2 0 0 0 1 0 0 5
11,760 |
7,056 |
1,248 |
v
541 |
22 2 1 1 24 2 1 1 2 1 0 1 0 0 1 1 0 0 4 2,039
1,631 |
-926 |
v
542 35 0 1 2 36 4 2 4 2 2 0 2 0 0 1 1 0 0 2
5,
|
| 842 |
4,089 |
666 t
543 21 2 1 1 18 2 3 2 2 1 1 1 0 0 0 1 0 0 2
2,779 |
1,
| 667 |
394 t
544 25 2 0 1 12 2 1 2 2 1 0 2 0 0 1 1 0 1 4
| 1,484 |
890
-456 |
t
545 41 0 0 2 9 4 4 4 1 1 1 4 0 0 0 0 0 0 5
1,244 |
995 138 v
546 29 0 1 1 24 2 1 1 3 1 0 4 0 0 1 1 0 0 2
2,679 |
1,339 281 v
547 63 1 1 1 24 2 4 2 2 2 0 3 1 1 1 1 0 0 2
2,924 |
2,046 |
488 t
| 548 |
26 1 1 1 18 0 4 1 2 1 1 1 0 0 0 0 0 0 3
3,114 |
2,802 |
-1,133 |
v
549 47 2 1 1 6 3 4 0 3 1 0 4 0 0 1 1 0 0 1
1,209 |
967
-475 |
t
550 20 1 0 1 24 2 4 2 2 1 0 2 0 0 1 0 0 0 3
| 2,996 |
2,696 |
-1,242 |
t
551 27 0 0 1 10 2 4 2 1 1 0 4 1 0 1 0 0 0 1
1,309 |
785
-396 |
v
552 |
37 1 1 2 6 4 3 3 2 1 0 4 0 0 1 0 1 0 1 609 609 119 t
553 30 2 1 2 26 2 3 1 2 1 0 2 0 0 1 0 0 0 2
7,
| 966 |
4,779 |
456 v
554 |
33 3 1 1 21 4 1 1 2 1 1 2 0 0 0 0 0 0 5
2,319 |
|
|
| 1,159 |
-874 |
v
555 43 1 1 2 24 3 2 0 2 2 0 4 0 0 0 0 0 1 1 1,333 799
-474 |
t
556 22 2 1 1 12 2 1 1 2 1 0 2 0 1 1 0 0 0 4
1,331 |
798
-277 |
t
557 23 2 2 2 24 3 2 3 2 1 1 3 0 0 0 1 0 0 4 1,553 1,242 193 v
558 24 0 1 2 15 4 3 3 2 1 0 2 0 1 1 0 0 0 3 2,788
2,230 |
401 v
559 20 1 1 1 18 2 4 2 2 1 1 1 0 1 0 0 0 1 3 2,039
| 1,223 |
-517 |
t
560 32 2 2 1 6 1 1 1 1 1 0 1 0 1 1 0 0 0 1 931 744
-441 |
t
561 22 1 3 1 24 1 4 2 2 1 0 4 0 1 1 1 0 1 3
2,
| 828 |
1,696 |
334 t
562 48 2 0 1 48 0 2 2 3 1 0 2 0 1 1 1 0 0 6
| 12,204 |
12,204 3,488 t
563 35 0 0 1 15 2 2 4 2 1 0 4 0 0 1 0 0 0 4
1,
| 979 |
1,781 |
445 t
564 47 0 1 3 12 2 4 4 2 2 0 4 0 1 1 1 0 0 5 1,393 1,393 210 v
565 27 0 0 2 36 3 4 1 2 1 1 4 0 0 0 1 0 0 6
7,980 |
5,
| 586 |
-3,503 |
t
566 22 1 1 1 14 2 4 0 2 1 0 1 0 0 0 0 0 0 1
3,973 |
2,781 |
536 t
567 27 0 1 2 24 4 2 0 3 1 0 4 0 1 1 1 0 0 0
6,314 |
5,682 |
1,096 t
568 26 0 1 1 30 4 4 3 3 1 1 4 0 0 0 1 0 0 4
4,530 |
2,718
| 593 |
t
569 34 0 0 1 60 2 4 2 2 2 0 4 0 0 0 1 0 0 1
| 6,527 |
6,527
2,161 |
t
570 50 0 3 1 6 2 4 2 2 1 1 2 0 0 0 0 0 0 2 1,236 988 243 t
| 571 |
35 0 3 1 15 2 4 4 2 1 0 1 0 0 0 0 0 0 1
5,324 |
3,194 |
629 v
572 63 0 0 2 30 4 4 4 2 1 0 1 0 0 1 0 0 0 2
7,
| 596 |
4,557 |
658 t
573 41 0 4 2 6 4 2 2 1 1 0 2 0 1 1 0 0 1 1 250 150 22 t
574 29 2 0 1 36 1 2 1 0 1 0 3 0 1 1 0 0 0 0
| 3,990 |
3,990
1,326 |
v
575 28 1 1 2 13 4 1 1 1 1 0 3 0 1 1 0 0 0 6 1,797 898 115 v
576 |
32 1 0 1 24 2 4 3 2 1 1 4 0 0 0 0 0 0 1
1,285 |
| 1,156 |
-424 |
t
577 40 2 1 2 12 2 3 4 1 1 0 3 1 1 1 0 0 1 4
1,155 |
1,039 187 v
578 25 1 0 1 24 2 4 2 2 1 1 4 0 0 0 0 0 1 1
1,371 |
1,096
-388 |
t
579 35 2 4 1 18 2 2 2 1 1 0 4 0 0 1 1 0 0 6
1,941 |
1,358 359 v
580 22 0 2 1 9 2 4 1 2 1 1 2 0 0 0 0 0 0 3 2,301 2,301 722 t
581 24 1 1 1 36 2 1 3 2 1 0 2 0 0 1 1 0 0 1
9,271 |
6,489 |
–
|
| 3,149 |
t
582 |
54 2 1 1 36 3 2 2 2 1 1 2 0 0 0 0 0 0 1
7,432 |
4,459 |
801 t
583 30 1 1 2 21 4 3 4 2 1 0 4 0 0 1 1 0 0 1
1,
| 602 |
961 124 v
584 48 1 1 2 12 0 4 2 2 1 0 4 0 1 1 0 0 0 1 1,082 757
-337 |
t
585 35 2 0 1 21 2 3 3 2 1 0 2 0 0 1 1 0 0 3
| 3,976 |
3,976 1,113 v
586 33 0 2 1 24 2 3 1 2 1 0 4 0 0 1 1 0 1 1 1,474 737 154 t
587 20 0 3 1 15 2 4 2 2 1 1 2 0 0 0 0 0 0 3
2,221 |
|
| 1,554 |
400 t
588 |
40 2 4 2 11 4 4 2 2 1 0 4 0 0 1 0 0 0 1
| 1,322 |
1,322 345 t
589 53 1 1 1 12 2 4 1 2 1 0 4 0 0 1 0 0 0 5 795 477
-413 |
v
590 31 0 0 1 36 3 2 3 3 2 0 3 0 1 1 1 0 0 2
8,
|
|
| 947 |
6,262 |
1,377 t
591 20 1 1 1 12 2 2 2 3 2 1 2 0 0 0 1 0 1 4
1,107 |
| 885 |
208 t
592 32 2 1 1 48 0 2 2 3 1 0 1 0 1 1 1 1 0 0
18,424 |
12,896 |
-6,960 |
v
593 46 1 1 2 12 1 2 1 2 1 0 4 0 1 1 1 0 0 1 697 348
-173 |
t
594 30 2 2 2 30 3 3 1 3 1 0 4 0 1 1 0 0 0 4 1,919 1,535
-892 |
t
595 30 2 3 2 48 0 1 1 2 1 0 1 0 0 1 0 0 0 1
8,358 |
7,522 |
1,804 t
596 57 1 4 2 24 4 4 4 3 1 1 4 0 0 0 1 0 0 4 1,231
| 738 |
76 t
597 26 2 0 1 30 2 1 2 2 1 0 4 0 0 1 0 0 0 4
1,715 |
1,029 |
240 t
598 57 3 3 1 24 2 3 2 1 1 0 3 0 0 1 0 0 0 4 1,258
| 1,006 |
250 v
599 25 1 1 2 15 4 3 2 2 1 1 4 0 0 0 0 0 0 3
1,433 |
| 859 |
128 t
600 31 0 1 1 12 2 4 3 1 1 0 3 0 0 1 0 0 1 3
1,736 |
1,388 339 t
|
| 601 |
53 0 3 1 24 2 4 4 2 1 0 3 0 0 1 0 0 0 3
2,835 |
1,984 |
411 t
602 53 0 0 2 24 4 4 4 2 1 0 4 0 0 1 0 0 0 4 2,424
1,212 |
151 t
603 39 0 1 1 6 0 4 4 1 1 0 4 0 0 1 0 0 0 4 426 383 117 v
604 31 0 1 1 48 4 3 2 2 1 0 1 0 1 0 1 0 0 5
6,110 |
4,
|
| 888 |
1,392 |
t
605 39 0 3 1 36 2 4 4 2 1 0 4 0 0 1 0 0 0 4
2,299 |
2,069 597 t
606 52 2 0 1 12 2 1 0 3 1 0 2 0 0 1 1 0 0 4 6,468
4,527 |
-2,129 |
t
607 |
29 0 1 1 12 2 2 1 2 1 0 2 0 1 1 0 0 0 4 2,171 1,953 592 t
608 34 1 1 1 42 2 3 1 2 1 0 4 0 0 1 0 0 0 4
3,965 |
2,
| 775 |
–
| 1,203 |
v
609 27 2 1 2 18 4 1 1 2 1 0 4 0 0 1 0 0 0 3
1,295 |
777 82 v
610 61 0 0 1 12 4 2 3 2 1 0 4 0 0 1 0 0 0 5
2,012 |
1,207 215 v
611 39 0 1 2 18 1 4 4 3 2 0 2 0 1 1 1 0 0 1
| 6,458 |
6,458
–
| 2,804 |
v
612 30 1 0 1 42 2 3 3 3 1 0 4 0 0 1 1 0 0 4
7,174 |
5,739 |
-3,167 |
t
613 40 1 1 1 12 2 2 2 1 1 0 4 0 0 1 0 0 1 4 701 420 93 t
| 614 |
27 0 4 2 27 3 2 2 2 1 0 2 0 0 1 0 0 0 2
8,613 |
7,751 |
1,442 t
615 39 1 1 2 6 4 4 4 2 1 0 1 0 0 1 1 0 0 1 860 688 111 t
616 48 1 2 2 9 4 4 4 2 2 0 3 1 0 1 0 1 1 0
1,288 |
1,159 252 v
617 33 1 1 1 18 2 2 0 2 1 0 4 0 0 1 0 0 0 3
1,131 |
678
-313 |
t
618 42 1 1 1 12 2 1 2 2 1 0 2 0 0 1 0 0 0 3
2,577 |
2,061 |
502 v
619 |
74 2 1 1 9 1 4 4 3 2 0 2 0 1 0 1 0 0 2
5,129 |
|
| 3,077 |
-1,488 |
v
620 28 0 1 2 6 4 1 2 2 1 0 1 0 0 1 1 0 0 4
1,382 |
| 1,243 |
237 t
621 |
43 0 1 3 12 4 4 4 2 1 0 4 0 0 1 1 0 1 3
| 1,
| 935 |
1,548 |
124 t
622 31 1 1 1 18 0 1 3 2 1 0 3 0 1 1 1 0 0 6
3,104 |
2,483 |
| 724 |
v
623 27 2 4 2 48 2 2 3 2 1 0 1 0 1 1 1 0 0 4
10,961 |
7,672 |
-3,241 |
t
624 23 2 0 1 6 2 2 0 0 1 0 1 0 0 1 1 0 0 1
14,555 |
11,
| 644 |
-5,406 |
t
625 52 0 1 3 12 4 4 4 2 1 0 4 0 0 1 0 0 1 4 717 573 79 t
626 35 0 1 2 24 4 2 2 1 1 0 4 0 0 1 0 0 1 4
2,684 |
1,342 106 t
627 36 0 0 2 36 4 4 4 2 1 0 4 0 0 1 0 0 1 6
6,304 |
4,412 |
|
| 681 |
t
628 |
26 0 1 2 18 4 2 2 2 1 0 2 0 0 1 0 0 0 4
2,404 |
1,923 |
380 t
629 26 1 1 1 48 2 3 3 2 2 0 4 0 0 1 0 0 0 2
4,788 |
| 2,394 |
472 t
630 20 0 0 1 12 2 4 1 2 1 1 1 0 0 0 0 0 0 2
4,
|
| 675 |
2,805 |
673 t
631 24 0 0 1 30 2 4 3 1 1 1 2 0 1 0 0 0 0 2
4,811 |
3,848 |
1,076 t
632 38 1 1 1 12 2 3 2 1 2 0 2 1 0 1 0 0 0 3 708 708 242 t
633 |
49 0 0 1 12 4 4 4 2 1 1 2 0 0 0 1 0 0 3
5,801 |
3,480 |
747 t
634 |
23 2 1 1 13 2 4 1 1 1 0 2 1 0 1 0 0 0 4
| 2,101 |
2,101 688 v
635 |
23 2 1 2 13 4 4 1 2 1 0 4 1 0 1 0 0 1 4 882 441 60 v
| 636 |
49 0 0 1 12 4 4 4 2 1 0 1 0 0 1 1 0 1 4
| 2,331 |
| 1,165 |
228 v
|
|
| 637 |
27 0 1 2 18 4 1 3 2 1 0 3 0 0 1 0 0 0 2
3,
| 850 |
2,695 |
324 t
638 34 0 1 2 18 3 3 0 2 1 0 2 0 0 1 0 0 1 4
2,320 |
2,088 |
348 t
|
| 639 |
21 0 0 1 18 2 2 1 2 1 1 4 0 0 0 1 0 1 4 1,126 675 120 t
640 55 1 1 1 12 2 4 0 3 1 0 3 0 0 0 0 0 0 3
| 2,578 |
1,546 318 t
641 |
43 0 0 2 24 4 4 3 2 2 0 4 0 0 1 1 0 0 2
2,197 |
1,098 139 t
642 |
33 1 1 1 12 2 1 1 1 2 0 4 0 0 1 0 0 1 1
2,579 |
2,321 |
–
| 1,291 |
t
643 29 0 1 2 28 4 2 4 2 1 0 4 0 0 1 0 0 0 4
2,743 |
2,194 |
392 t
644 23 0 3 1 6 2 4 3 1 1 1 2 0 0 0 0 0 1 0 660 660 200 v
645 34 1 1 1 36 2 4 1 2 1 0 4 0 0 1 1 0 0 1
1,842 |
|
| 1,289 |
-599 |
v
646 36 1 1 2 11 4 2 2 2 2 1 2 0 0 0 0 0 1 1
3,
| 905 |
3,514 |
636 t
647 29 1 1 1 24 3 2 1 1 1 1 4 0 0 0 1 0 0 4 1,659
| 1,493 |
-819 |
v
648 24 0 3 1 39 2 4 2 2 1 0 4 0 0 1 0 0 0 2 2,569
2,312 |
557 v
649 52 0 1 1 12 2 4 2 2 1 0 2 0 0 1 1 0 0 4 3,077
2,769 |
674 v
|
| 650 |
29 2 2 1 36 2 1 1 3 1 1 4 0 0 0 1 0 0 3
9,034 |
7,227 |
-3,545 |
t
651 36 3 3 1 15 4 2 2 2 1 0 2 0 0 1 1 0 0 2
2,360 |
1,652 |
329 t
652 40 1 1 1 6 4 4 1 1 2 0 2 0 0 1 0 1 1 1
1,361 |
1,224 291 v
653 31 0 2 1 15 4 3 2 2 1 0 4 0 0 1 0 0 0 5
1,532 |
766 126 t
654 75 1 0 1 6 2 3 0 3 1 0 4 0 0 1 1 0 0 1 1,374 1,374 440 t
| 655 |
37 0 1 1 24 4 4 2 2 1 0 4 0 0 1 1 0 0 1
2,022 |
| 1,617 |
446 v
656 28 2 2 2 18 0 3 1 2 1 0 3 0 0 1 0 0 0 1
2,278 |
1,822
-868 |
t
657 36 1 1 1 12 2 3 3 2 1 0 2 0 0 1 0 0 0 1
| 1,372 |
1,234
| -428 |
v
658 27 2 1 1 12 2 1 3 2 1 0 2 0 0 1 0 0 1 4
2,
|
| 930 |
| 2,051 |
492 v
659 36 1 1 2 9 4 2 2 2 2 1 2 0 0 0 0 0 1 1
2,799 |
1,399 |
150 t
660 23 1 1 2 24 2 4 3 2 1 1 4 0 0 0 0 0 0 1 1,442 1,009
-595 |
t
661 |
74 0 1 1 24 4 2 2 3 1 0 3 0 0 1 1 0 1 6 4,526
2,263 |
336 v
662 27 2 0 1 60 3 2 2 3 1 0 2 0 0 0 0 0 0 4
| 9,157 |
9,157
2,
|
| 992 |
t
| 663 |
41 3 1 1 6 2 2 2 2 1 0 2 0 0 1 1 0 1 3
2,116 |
1,
|
|
|
| 692 |
476 t
664 |
28 0 3 1 24 2 1 3 2 1 0 4 0 0 1 0 0 0 4
1,376 |
963 239 t
665 32 1 1 2 30 0 2 2 2 1 0 2 1 0 1 0 0 1 3
4,583 |
3,208 |
534 t
666 41 2 1 1 12 2 4 4 1 2 0 4 0 1 1 0 0 0 1 888 799
-311 |
t
667 34 2 4 1 30 1 2 2 2 2 0 4 0 1 1 1 0 0 3
3,496 |
2,796 |
692 t
668 |
33 0 1 1 24 4 4 4 2 1 0 4 0 0 1 1 0 0 3
5,150 |
3,605 |
876 t
669 |
27 3 0 2 10 4 2 3 2 1 0 4 0 0 1 1 0 0 4
1,347 |
| 942 |
173 v
670 29 2 1 2 12 2 3 3 2 1 0 4 1 0 1 0 1 1 4
1,103 |
882 123 t
| 671 |
24 2 2 1 48 2 2 3 2 1 0 3 0 0 1 0 0 0 1
6,560 |
5,
| 904 |
-2,623 |
v
672 40 0 0 2 30 4 2 4 2 2 0 3 0 0 1 1 0 0 4 3,077
1,538 |
112 t
673 47 0 3 2 15 4 2 2 1 1 0 2 0 0 1 0 0 0 4 1,316
| 921 |
135 t
674 23 2 1 2 24 2 4 2 3 1 1 1 0 0 0 0 0 0 2
11,560 |
9,248 |
-4,648 |
t
675 23 1 1 1 15 2 4 0 2 1 1 1 0 0 0 0 0 0 1
2,511 |
1,757 |
350 v
| 676 |
74 3 1 3 6 4 1 2 0 2 0 1 0 0 1 0 1 1 1
1,299 |
909 109 v
677 31 1 1 1 30 2 4 1 1 1 0 2 0 0 1 0 0 0 3
3,108 |
2,797 |
-1,444 |
t
678 37 0 1 2 36 4 4 3 2 1 0 4 0 0 1 1 0 0 1
3,535 |
3,181
| 710 |
v
679 40 0 3 1 22 2 4 4 2 1 0 3 0 0 1 0 0 0 4
2,675 |
1,605 |
289 t
680 51 1 0 1 18 2 4 4 2 2 0 1 0 0 0 1 0 0 2
7,511 |
5,257 |
-1,602 |
t
681 26 2 1 1 6 2 3 1 1 1 0 3 0 0 1 0 1 1 4 590 413 111 t
682 62 0 3 1 6 2 4 2 2 1 0 1 0 0 1 0 0 1 0
1,338 |
936 181 t
683 33 1 1 3 18 4 4 4 2 1 1 1 0 1 0 1 0 1 1
3,966 |
3,569 |
-1,
|
| 955 |
v
684 21 0 0 1 12 2 2 2 2 1 0 4 0 0 1 0 0 0 4
|
| 886 |
797 197 t
685 68 0 0 2 18 2 4 2 2 1 1 2 0 0 0 0 0 0 1
6,
| 761 |
4,056 |
-1,421 |
v
686 40 0 0 1 10 2 3 3 2 1 0 4 0 0 1 1 0 0 0
|
| 894 |
715 162 t
687 27 1 1 1 18 2 1 1 2 1 0 4 0 1 1 0 0 0 4 2,389 2,150 676 t
688 36 1 1 1 18 1 4 1 3 1 0 3 0 1 0 1 0 0 4 1,940
| 970 |
141 v
| 689 |
34 2 0 2 24 4 3 3 2 2 0 4 0 0 1 1 0 0 6
2,825 |
2,260 |
405 t
690 |
28 1 1 1 21 2 4 1 3 1 1 4 0 0 0 1 0 0 4
2,606 |
2,084 |
507 v
691 24 1 0 1 21 2 2 3 1 1 0 2 0 0 1 0 1 1 1
| 3,763 |
3,763
1,324 |
t
692 32 0 2 1 10 2 2 2 2 2 0 1 0 0 1 0 0 1 2
2,848 |
1,993 |
396 v
693 21 1 1 1 18 4 4 1 2 1 1 4 0 0 0 0 0 0 3
1,049 |
944 286 t
694 28 3 1 1 9 2 2 2 1 1 0 3 0 0 1 0 0 1 4
| 745 |
447
-200 |
v
695 30 1 3 1 24 1 4 1 2 2 0 4 0 0 0 1 0 0 3 3,349
2,009 |
-615 |
t
696 49 3 0 2 30 4 4 4 1 1 0 4 0 1 1 0 0 0 4
3,656 |
3,290 |
651 t
697 23 2 3 2 27 4 2 2 1 1 0 4 0 0 1 0 0 0 4
2,520 |
2,016 |
| -647 |
t
698 64 2 1 1 6 2 3 2 2 1 0 2 1 0 1 0 0 1 4 753 376 69 t
699 33 3 1 2 42 0 1 1 2 1 0 2 0 0 1 0 0 0 6
6,289 |
3,144 |
258 v
700 40 1 1 1 30 2 4 2 3 1 0 4 0 0 1 1 0 0 2
3,857 |
3,471 |
1,057 |
v
701 35 2 1 1 36 2 2 2 3 1 1 2 0 0 0 1 0 0 2
6,948 |
4,863 |
1,231 v
| 702 |
25 1 0 3 30 0 3 1 2 1 0 2 0 1 1 0 0 0 6
8,072 |
5,650 |
351 v
703 42 3 4 2 12 1 3 2 2 1 1 3 0 0 0 0 0 1 4 409 327 60 t
704 37 3 1 1 18 2 2 2 2 1 0 4 0 1 1 0 0 1 4
2,100 |
1,890
–
| 832 |
t
| 705 |
23 1 3 1 6 2 2 0 0 1 1 1 0 0 0 1 0 0 2
1,352 |
811 141 t
706 |
31 0 1 2 36 4 2 2 2 1 0 2 0 1 1 0 0 0 4
9,566 |
7,652 |
1,185 t
707 22 2 4 1 12 2 1 2 2 1 0 4 0 0 1 0 0 1 1
1,007 |
805 174 t
708 51 2 1 1 11 3 4 3 2 1 0 2 0 0 1 0 0 0 4 4,771
| 3,816 |
864 t
709 47 2 2 1 36 2 4 2 2 2 0 1 0 0 0 1 0 0 5
12,612 |
6,306 |
-4,459 |
t
710 34 2 2 1 18 2 4 2 2 1 0 4 0 0 1 0 0 0 6
2,622 |
| 2,359 |
580 t
711 |
32 2 1 1 12 2 2 3 2 1 0 2 0 0 1 0 0 0 1
6,078 |
5,470 |
1,702 |
t
712 27 1 0 2 10 4 3 1 2 1 1 2 0 0 0 0 1 1 3
2,132 |
1,492 |
229 t
713 30 2 1 1 12 2 2 2 2 1 0 4 0 0 1 0 0 0 0 639 639
-330 |
t
714 |
66 2 3 1 12 2 3 2 1 1 0 4 0 0 1 0 0 1 4 766 689
| -368 |
v
715 51 0 2 2 12 4 3 3 2 1 0 4 0 0 1 1 0 0 1 682 682 172 t
716 45 1 1 1 12 1 1 4 1 1 0 4 0 1 1 0 0 0 0 339 271 59 v
717 20 2 4 1 11 2 1 1 2 1 0 4 0 0 1 0 0 1 3
1,577 |
946 170 v
718 52 1 3 2 6 4 4 4 2 1 0 4 0 0 1 0 0 0 4 338 202 22 v
719 68 2 1 3 16 4 3 0 0 1 0 2 0 0 0 1 0 0 1
1,175 |
705 34 t
720 27 2 2 4 12 2 4 1 2 1 1 4 0 1 0 0 0 0 3 951 570 -263 t
721 26 2 1 1 12 4 3 3 2 1 0 4 0 0 1 0 0 0 0
|
| 1,424 |
1,424 390 t
722 23 3 1 1 36 2 2 2 2 1 0 2 0 0 1 1 0 1 4
3,
| 913 |
3,130 |
899 t
723 53 1 1 1 12 2 4 4 3 1 0 4 0 0 0 1 0 0 3
7,
| 865 |
5,505 |
-2,364 |
t
724 61 2 2 2 21 2 2 4 1 1 1 4 0 1 0 0 0 0 6
2,767 |
2,490 |
–
| 2,105 |
v
725 35 0 2 1 6 0 1 2 2 1 1 4 0 1 0 0 1 0 1
1,204 |
722 147 v
726 |
29 1 1 1 12 1 1 2 2 1 0 4 0 0 0 0 0 0 4
| 2,149 |
2,149
-1,220 |
t
727 38 0 1 1 24 2 3 1 2 1 0 4 0 1 1 1 0 0 4
| 1,533 |
1,379 |
389 t
728 |
49 1 0 1 12 2 4 4 1 1 0 2 0 0 1 1 0 0 3 1,262 1,262 436 v
729 31 2 2 1 48 3 4 0 3 1 0 2 0 0 0 1 0 0 0
7,582 |
6,065 |
1,366 v
730 45 0 0 1 10 2 2 4 1 1 0 4 0 0 1 0 1 0 1 1,287
| 1,158 |
306 t
731 33 1 2 1 12 2 3 1 1 1 0 4 0 0 1 1 0 0 4 727 654
-340 |
t
732 |
48 2 0 1 24 2 4 2 1 1 0 1 0 0 1 1 0 0 3
4,351 |
3,045 |
663 t
733 34 0 4 1 24 2 3 3 2 2 0 4 0 0 1 1 0 0 1
1,525 |
1,372 347 t
734 24 1 0 1 15 2 2 2 2 1 1 4 0 0 0 0 0 0 0 1,275 637
-222 |
v
735 23 2 3 1 24 2 4 0 0 1 1 1 0 0 0 0 0 0 4
3,758 |
2,254 |
384 v
736 26 0 1 2 36 3 2 2 3 1 0 4 0 0 1 1 0 0 4
4,463 |
3,124
-1,012 |
t
737 22 1 1 1 18 2 4 1 2 1 1 1 0 0 0 0 0 0 3
3,650 |
2,920 |
799 t
738 36 0 0 1 7 3 4 4 2 1 0 3 0 0 0 0 0 0 4 846 423 77 v
739 40 2 1 2 18 4 4 0 3 1 0 4 0 1 1 1 0 0 3
7,374 |
6,636 |
1,159 t
740 46 1 1 2 36 4 2 2 2 1 0 3 0 0 1 1 0 0 3 2,348
1,408 |
201 t
741 27 1 1 1 15 2 2 1 2 1 0 4 0 0 1 0 1 1 4 1,053 631 119 v
742 23 1 0 2 18 3 2 2 2 1 1 1 0 0 0 1 0 0 5
8,471 |
4,235 |
463 t
743 46 0 4 2 18 4 3 2 2 1 0 4 0 0 1 0 0 1 4
| 1,149 |
804 98 t
744 37 0 4 2 24 4 4 4 2 1 0 4 0 0 1 1 0 1 1 1,287 1,158 280 t
745 35 2 1 1 7 2 2 2 2 1 0 2 1 0 1 0 0 1 4
| 2,576 |
2,318 |
692 t
746 35 1 1 1 12 2 4 4 2 1 0 3 0 0 0 1 0 0 2
3,386 |
3,047 |
-1,723 |
t
747 32 0 0 2 48 3 3 4 2 2 0 3 0 1 1 0 0 0 4
7,238 |
5,790 |
907 t
748 25 3 1 1 24 2 2 3 2 1 0 4 0 1 1 0 0 0 4
| 5,152 |
2,576 377 v
749 62 0 1 1 24 2 4 4 2 1 0 4 0 0 0 1 0 0 1
3,757 |
2,629 697 v
750 40 0 1 2 24 4 3 3 2 1 0 4 0 0 1 0 0 0 3
1,585 |
1,268 |
196 t
751 34 2 2 1 15 1 2 0 3 2 0 1 0 0 1 1 0 0 1
6,850 |
3,425 |
-1,718 |
t
752 |
23 0 1 2 36 4 4 1 2 1 1 2 0 0 0 1 0 0 3
7,127 |
4,988 |
-1,596 |
t
753 42 0 1 2 4 4 1 3 1 2 0 2 0 0 1 0 0 1 4 1,503
1,202 |
182 t
754 37 2 1 1 18 4 4 4 2 1 0 3 0 0 1 1 0 0 3
3,612 |
3,250 |
|
| 1,045 |
v
755 32 0 1 1 24 2 1 3 2 2 0 3 0 1 1 0 0 0 4
1,552 |
931 158 t
756 29 0 0 2 21 0 4 2 2 1 0 1 0 1 1 1 0 0 1
5,003 |
3,502 |
-1,636 |
v
757 34 0 4 1 24 4 2 4 2 1 0 2 0 0 1 0 0 0 4 2,578 1,289 196 t
758 33 0 0 2 24 4 2 2 2 1 0 3 0 0 1 1 0 0 5 1,927 1,156 193 t
759 21 1 1 1 12 2 1 2 1 1 0 4 1 0 1 0 0 0 3 1,289 773 133 t
760 36 2 1 3 24 0 4 2 1 1 0 1 0 0 1 1 0 1 6
4,241 |
3,816
–
| 2,676 |
t
761 50 2 2 1 36 2 4 2 2 1 0 4 0 0 0 0 0 0 4
2,671 |
2,136
-927 |
t
762 37 1 1 3 6 4 3 2 2 2 1 1 0 0 0 0 0 1 1
3,676 |
2,940 |
308 t
763 29 2 2 1 9 1 3 3 2 1 0 2 0 0 1 0 0 0 1
1,437 |
1,005 |
-356 |
v
764 21 0 1 2 60 3 4 3 2 1 0 2 0 0 1 1 0 0 4
15,653 |
7,826 |
|
| 937 |
v
765 26 0 3 1 12 2 2 2 2 1 0 2 0 0 1 0 0 0 1 1,386
1,247 |
-605 |
t
766 37 0 0 1 48 2 3 3 2 1 0 4 0 1 1 1 0 0 4
10,222 |
9,199 |
2,951 |
v
767 27 0 1 1 48 1 1 2 2 1 0 1 0 1 1 0 0 1 6
3,609 |
2,165 |
473 v
768 24 2 2 1 72 2 2 2 2 1 0 2 0 0 1 0 0 0 4
5,595 |
3,916 |
-2,321 |
v
769 30 2 2 1 36 3 3 4 2 1 0 4 0 0 0 0 0 0 1 2,862 2,862 782 t
770 38 0 1 1 12 4 2 0 0 1 0 1 0 0 1 0 0 0 1 926 740 163 v
771 25 2 1 2 12 0 3 1 2 1 1 4 0 0 0 0 0 0 3
2,
| 969 |
1,484 -647 t
772 32 0 1 1 18 2 2 2 3 1 0 4 0 0 0 1 0 0 4
1,505 |
1,354 |
419 t
773 25 1 1 2 18 2 4 2 2 1 1 4 0 1 0 0 0 0 4
1,882 |
1,317 |
-576 |
t
774 35 1 2 1 18 2 4 2 1 2 0 3 0 0 1 1 0 0 1
4,380 |
3,504 |
783 t
775 37 1 1 1 12 2 1 1 1 1 0 3 0 0 1 0 0 1 1
1,274 |
637
-268 |
t
| 776 |
39 3 0 2 15 4 4 2 2 1 0 3 0 0 0 1 0 0 4
| 1,271 |
762 -256 t
777 31 0 0 1 10 2 4 1 2 1 1 1 0 0 0 0 0 1 2
2,
| 901 |
1,740 |
373 t
778 |
25 1 1 1 18 2 1 3 2 1 0 4 1 0 1 0 0 1 4
3,509 |
2,105 502 t
779 38 0 0 2 48 4 3 4 2 2 0 4 0 0 1 1 0 0 2
2,751 |
| 1,925 |
361 v
780 22 0 1 2 12 4 4 1 1 1 1 2 0 0 0 0 0 0 3 1,258 1,006 204 t
781 65 0 0 4 12 4 4 4 2 1 0 4 0 0 1 0 0 1 4 930 837 49 v
782 24 0 1 2 6 4 2 3 2 1 1 1 0 0 0 1 0 0 4 1,554 1,554 346 v
783 36 0 1 2 18 0 2 2 2 2 0 2 0 1 1 0 0 0 6
4,165 |
3,748 |
-3,135 |
v
784 23 0 1 1 4 2 3 1 1 2 1 1 0 0 0 0 0 1 3 601 601 191 t
785 28 0 1 1 24 2 2 1 2 1 0 4 0 0 1 0 0 1 1 1,249 749 176 v
786 |
28 0 1 1 15 4 2 2 2 1 0 4 0 0 0 1 0 0 3
3,343 |
1,671 |
357 t
| 787 |
42 0 1 1 12 4 4 4 2 1 0 2 0 1 1 0 0 0 3
3,331 |
2,331 564 t
788 28 0 1 1 36 2 2 4 2 1 0 4 0 0 1 0 0 0 4
3,595 |
2,876 |
790 t
789 |
23 2 1 1 48 2 2 2 2 1 0 2 0 0 1 1 0 0 6
15,672 |
14,104 |
-12,029 |
v
790 35 0 4 1 12 4 2 3 2 1 0 3 0 0 1 0 1 0 3
1,592 |
955 167 t
791 27 2 0 1 36 2 2 2 2 1 0 2 0 0 1 0 0 0 5
3,711 |
2,597 |
521 t
792 68 1 1 1 6 2 4 4 3 1 0 1 0 1 1 1 0 0 1
14,896 |
13,406 |
-7,231 |
t
793 |
39 1 1 3 48 2 4 3 2 2 0 4 0 1 0 1 0 0 2
10,297 |
7,207 |
-4,283 |
t
| 794 |
30 2 1 1 6 2 3 1 3 1 1 4 0 0 0 1 0 0 4
| 2,063 |
2,063 659 t
795 38 0 0 1 12 2 4 0 3 1 0 4 0 0 1 1 0 0 1
2,859 |
2,287 |
509 t
796 37 2 1 3 9 4 4 4 1 1 0 2 0 0 1 0 0 1 4
|
| 1,154 |
692 41 v
797 54 0 1 1 15 2 2 4 3 1 1 4 0 1 0 1 0 0 4
| 3,568 |
3,568 1,238 t
798 42 2 0 2 18 3 2 4 2 1 0 4 0 0 1 0 0 0 6
2,427 |
2,184 |
485 v
799 64 0 2 1 13 2 4 0 2 1 0 2 0 0 1 0 0 1 4
1,409 |
845 197 v
800 38 0 1 1 12 2 4 4 2 1 0 4 0 0 1 0 0 0 4 804 402 61 t
801 61 0 4 1 12 2 4 3 1 1 0 2 0 0 1 0 0 1 4
3,059 |
2,447 |
540 t
802 44 2 1 1 24 2 2 4 3 1 0 4 0 0 0 1 0 0 2
12,579 |
10,063 |
-3,320 |
t
803 |
34 2 1 1 7 2 2 2 2 1 0 3 1 0 1 0 0 1 4 2,415 2,173 578 t
804 37 3 1 1 10 2 2 2 2 1 0 2 0 0 1 1 0 0 0
1,225 |
612 102 t
805 39 0 1 2 11 4 4 2 1 1 0 1 0 0 1 0 0 0 1
7,228 |
6,505 |
1,165 t
806 23 3 1 1 18 2 2 4 3 1 0 3 0 0 1 0 0 0 1
| 1,961 |
1,961 659 t
807 37 0 1 1 36 2 4 2 2 1 0 4 0 1 0 1 0 0 5
1,819 |
909
-637 |
v
808 39 0 0 1 54 0 2 2 1 2 0 2 0 0 1 0 0 0 2
9,436 |
7,548 |
1,677 |
t
| 809 |
30 1 2 1 18 2 3 3 3 2 0 4 0 0 1 1 0 0 1
2,249 |
| 1,574 |
421 v
810 36 2 1 1 36 4 4 4 2 1 0 4 0 0 1 0 0 1 4
| 2,337 |
2,337 698 t
811 30 1 0 1 24 2 2 1 2 1 0 1 0 0 1 1 1 0 3
7,721 |
4,632 |
993 v
812 23 1 3 2 33 4 4 2 2 1 0 1 0 0 1 0 0 0 3
4,281 |
2,996
-1,312 |
t
813 34 2 1 2 12 4 2 0 3 1 0 4 0 0 1 1 0 0 2
| 1,860 |
1,302 |
211 t
814 35 2 0 3 15 4 2 3 2 1 0 4 1 1 1 1 0 1 4
| 2,728 |
2,728 362 v
815 |
28 1 1 2 36 4 2 2 2 1 0 3 1 0 1 0 0 0 3
5,371 |
4,
|
| 833 |
1,137 t
816 38 2 2 2 24 2 3 3 2 1 0 2 0 1 1 1 0 0 1
3,512 |
3,160 561 t
817 25 0 1 1 24 2 4 3 2 1 1 2 0 0 0 1 0 0 3
3,972 |
2,383 |
396 t
818 31 0 1 2 12 2 2 3 3 2 1 4 0 0 0 1 0 0 4
1,963 |
1,177 |
172 t
819 20 1 2 1 12 2 1 3 2 1 0 4 0 0 1 0 0 0 4 674 606
-211 |
t
820 36 2 0 1 24 2 4 4 2 1 0 4 0 1 0 1 0 0 2
2,760 |
1,656 |
394 v
821 |
21 1 1 1 24 2 2 2 1 1 0 2 0 1 1 0 0 0 6
6,568 |
5,
| 911 |
1,750 v
822 24 1 1 1 24 2 2 2 1 1 1 2 0 0 0 0 0 1 3
3,021 |
2,114 |
402 t
823 22 0 1 1 9 2 2 3 2 1 0 4 0 0 1 0 0 0 4
| 1,478 |
1,034 |
-372 |
t
824 35 0 1 2 12 4 2 2 2 1 0 4 0 0 1 0 0 0 4 1,291
| 903 |
173 t
825 26 3 1 1 24 2 2 2 2 1 0 2 0 0 1 0 0 1 3 1,925
1,732 |
535 t
826 23 0 2 1 15 2 4 1 2 1 0 1 0 0 1 1 0 0 2
| 3,812 |
3,812
1,205 |
t
827 45 1 1 1 14 2 4 4 3 1 0 1 0 0 1 1 1 0 1
8,978 |
7,182 |
-3,830 |
t
828 32 0 1 1 6 2 4 1 2 1 0 1 0 0 1 0 0 0 3 4,611
2,766 |
-1,336 |
v
829 49 2 1 2 12 2 4 2 2 1 0 4 1 0 1 1 0 1 4 1,092 764 94 v
830 43 0 1 1 18 2 4 2 2 1 0 3 0 0 1 1 0 1 3
2,515 |
1,257 |
235 v
831 24 2 1 1 8 2 4 2 2 1 0 3 0 0 1 0 0 1 3 1,237 989
-430 |
t
832 32 0 1 2 12 4 2 2 2 1 0 4 0 0 1 0 0 0 5 701 350 49 v
833 31 3 1 1 36 2 2 4 2 1 0 4 0 0 1 0 0 0 4
| 4,473 |
4,473 1,355 t
834 |
28 1 1 1 24 2 4 2 2 1 0 4 0 0 1 0 0 0 3
4,169 |
2,501 |
599 t
835 34 0 2 2 6 3 2 2 1 1 0 1 0 0 1 0 0 1 6
| 1,743 |
1,045 135 v
836 28 0 1 1 12 2 2 2 2 1 0 4 0 0 1 0 0 1 4 776 543 104 v
837 42 1 1 1 36 2 2 4 2 2 0 4 0 0 1 0 0 0 3
3,446 |
3,101 |
-1,708 |
t
838 57 2 1 1 36 2 2 4 3 1 0 4 0 0 0 1 0 0 1
14,318 |
11,454 |
-5,352 |
v
839 27 2 3 1 15 4 4 2 2 1 0 2 0 1 1 0 0 0 6 2,326 1,860 519 t
840 |
46 2 1 2 12 2 1 4 2 1 1 1 0 0 0 0 0 1 1 1,223
| 856 |
-335 |
v
841 26 0 3 1 24 2 2 4 3 1 0 3 0 0 1 1 0 0 4
3,235 |
1,617 258 t
842 31 0 3 1 21 2 2 3 3 1 0 1 0 1 1 0 0 0 1
2,782 |
1,669 |
366 t
843 20 0 1 1 9 2 4 4 2 1 0 1 0 0 1 0 0 0 3
1,313 |
787 154 v
844 65 1 1 2 42 4 4 0 0 1 0 4 0 0 1 0 0 0 0
3,394 |
2,036 |
258 t
845 55 3 0 1 12 2 4 4 3 1 0 3 0 0 1 1 0 1 3 1,424 854 199 t
846 27 1 1 1 6 2 1 1 2 1 0 4 0 0 1 0 0 1 0 343 308 98 t
847 |
26 0 1 2 33 3 2 2 2 1 0 2 0 0 1 1 0 0 6
2,764 |
1,658 |
189 v
848 39 2 2 1 12 2 4 3 1 1 0 3 0 0 1 0 0 1 6
| 1,037 |
622 116 t
849 |
35 0 2 1 10 2 2 2 1 1 1 3 0 0 0 0 1 1 1
1,418 |
992 206 v
850 32 2 1 1 18 2 2 4 1 1 0 4 1 0 1 0 0 1 4
1,301 |
650 121 t
851 28 0 1 1 24 2 2 2 2 1 0 4 0 0 1 0 0 0 4
|
| 1,413 |
1,413 426 t
852 43 1 2 1 6 2 2 4 2 1 0 3 0 0 1 1 0 0 1 1,203 842 162 t
853 31 1 1 1 36 2 4 2 2 1 1 4 0 0 0 0 0 0 4
2,302 |
1,841
-888 |
v
854 42 1 1 1 48 2 4 4 3 1 0 4 0 1 0 0 0 0 1
7,763 |
5,434 |
-2,226 |
t
855 24 1 1 1 12 1 4 2 1 1 0 4 0 1 1 0 0 1 4 626 563
-231 |
t
856 27 1 1 1 24 1 4 3 2 1 0 3 0 1 1 0 0 0 3
3,552 |
1,776 |
-894 |
t
857 41 2 0 2 48 2 1 3 2 2 0 4 0 0 1 1 0 0 4
3,979 |
2,785 |
481 t
858 27 2 1 2 36 4 4 1 2 1 0 4 0 0 1 0 0 0 1
2,820 |
2,256 |
-1,037 |
t
859 47 1 1 1 18 2 3 2 1 1 0 4 0 0 1 1 0 1 0
1,217 |
973
-395 |
t
860 31 0 1 2 18 4 2 3 2 1 0 2 0 1 1 0 0 0 1
2,775 |
2,220 |
-689 |
t
861 |
33 0 1 1 18 2 1 1 2 1 0 4 0 0 1 0 0 1 4 2,051
1,435 |
343 t
862 21 2 2 1 30 2 4 2 2 1 1 2 0 0 0 0 0 0 3
3,441 |
2,752 |
-1,151 |
t
863 36 0 3 2 42 4 4 2 2 1 0 4 0 0 1 1 0 1 3 4,042
3,233 |
650 v
864 34 0 1 1 12 2 3 1 2 2 0 4 0 0 1 0 0 0 4 1,493 1,045 266 t
865 38 3 1 1 24 2 3 3 2 2 0 4 0 1 0 0 0 0 1 947 947
-411 |
t
866 28 2 1 2 30 0 1 2 2 1 0 2 0 0 1 0 0 0 6
4,221 |
2,954 |
414 v
867 43 1 1 2 12 4 4 4 2 1 1 3 0 0 0 1 0 0 1
4,843 |
4,358 |
-1,482 |
t
868 64 1 1 1 24 2 4 4 1 1 1 4 0 1 0 0 0 1 4
2,384 |
1,430 |
322 t
869 35 0 2 1 9 2 4 4 2 1 0 3 0 0 1 1 0 0 4
2,753 |
2,202 |
503 t
870 24 0 1 2 18 4 2 2 2 1 0 4 0 0 1 0 0 0 4
1,800 |
1,440 233 t
871 |
25 2 1 1 9 2 4 4 2 1 0 4 0 0 1 0 0 1 4
1,206 |
1,085 |
296 t
872 31 3 0 2 24 4 2 2 2 1 0 3 0 0 1 1 0 0 4
3,148 |
1,574 135 t
873 |
59 2 1 1 48 1 3 4 2 1 1 4 0 0 0 0 0 0 6
| 6,416 |
6,416
-3,914 |
t
874 45 0 1 2 6 4 3 3 3 2 0 1 0 0 1 1 0 0 1
6,761 |
6,084 |
1,037 t
875 26 0 0 1 21 2 3 2 2 1 0 1 0 0 1 0 0 0 2
5,248 |
2,624 487 t
876 31 0 1 1 24 2 2 2 2 1 0 2 1 0 1 1 0 1 1 1,393 835 178 v
877 |
28 2 1 3 12 4 4 4 2 1 1 1 0 0 0 1 0 0 3
3,617 |
3,255 |
535 v
878 38 0 4 2 36 4 2 4 3 1 0 4 0 0 1 1 0 0 2
5,711 |
4,568 |
987 t
879 50 2 1 1 48 3 4 4 2 1 0 4 0 0 0 0 0 0 5
6,224 |
4,979 |
-4,477 |
v
880 54 0 0 2 24 3 4 4 2 1 0 4 0 0 1 1 0 0 1 717 501 83 t
881 55 2 1 1 42 1 2 0 3 1 0 1 0 1 0 1 0 0 2
9,283 |
8,354 |
2,423 |
t
882 43 1 1 1 36 2 3 0 3 1 0 2 0 0 1 0 0 0 0
| 15,857 |
15,857
4,387 |
v
883 |
47 1 0 1 36 2 4 4 2 1 0 3 0 0 0 0 0 0 2
8,335 |
5,001 |
-2,571 |
t
884 63 1 1 2 24 4 4 4 2 1 0 4 0 0 1 1 0 0 2
2,957 |
1,774 |
277 t
885 59 1 1 1 9 2 4 3 2 1 0 3 0 0 1 0 0 1 4
|
| 1,364 |
1,091 276 v
886 29 1 1 1 15 2 2 2 2 1 0 3 0 0 1 1 0 0 1 3,959
2,771 |
–
| 1,073 |
t
887 37 0 0 2 36 2 2 4 2 1 0 3 0 0 1 0 0 0 6
7,409 |
4,445 |
671 v
888 27 1 1 1 9 2 2 1 3 1 0 3 0 0 0 1 0 0 1
1,422 |
995
-316 |
v
889 34 0 1 2 36 4 4 4 3 1 0 4 0 0 1 1 0 0 1
6,614 |
3,307 |
261 v
890 33 0 0 1 15 2 4 3 1 1 1 1 0 1 0 0 0 1 3
2,186 |
1,530 |
374 v
891 |
46 0 1 2 15 3 2 1 1 1 0 1 0 0 1 0 0 0 2
| 3,594 |
3,594 824 t
892 33 1 2 1 24 2 1 0 2 1 0 1 0 0 1 0 0 0 3 2,359
2,123 |
-1,023 |
t
893 58 0 0 1 30 2 4 4 2 1 0 4 0 0 1 1 0 0 4
1,867 |
1,120 |
242 v
894 42 2 1 1 60 2 4 2 2 1 0 4 0 0 0 0 0 0 5
6,288 |
5,659 |
-3,
| 994 |
t
895 |
43 0 1 1 18 2 1 1 1 2 0 4 0 0 1 0 0 0 3 1,533 1,073
-566 |
t
896 45 1 1 1 28 2 2 2 1 1 0 3 0 0 1 0 0 0 1
4,006 |
2,804
-1,282 |
t
897 29 0 0 1 42 2 4 3 2 1 1 2 0 0 0 1 0 0 4
7,166 |
5,016 |
1,013 |
v
898 47 0 1 2 24 3 4 4 1 2 0 4 0 0 1 0 0 0 1
2,538 |
2,284
-904 |
t
899 29 1 1 1 24 2 2 0 3 1 0 4 0 0 0 1 0 0 2
6,579 |
3,947 |
794 t
900 23 1 1 1 45 2 4 2 2 1 0 4 0 0 0 1 0 0 4
1,845 |
1,476 |
-884 |
t
901 28 2 1 2 30 4 2 0 3 1 0 4 0 0 1 0 0 0 1
5,234 |
4,187 |
-1,605 |
t
902 31 0 3 1 24 2 2 4 2 2 0 3 0 0 1 1 0 0 4
3,430 |
2,401 |
637 t
903 63 1 1 2 60 3 4 4 2 1 0 3 0 0 1 1 0 0 6
6,836 |
3,418 |
-2,339 |
t
904 24 2 1 1 9 2 3 2 2 1 0 4 0 0 1 0 0 1 4 458 412 127 t
905 28 0 2 1 12 2 2 2 2 1 0 4 0 0 1 0 0 1 4
2,073 |
1,243 224 t
906 |
23 1 1 2 36 4 4 1 1 1 1 4 0 0 0 1 0 0 3
6,229 |
3,737 |
-1,801 |
t
907 25 0 0 1 36 2 4 2 2 1 0 4 0 0 1 0 0 0 4 2,394
1,436 |
283 t
908 22 2 1 1 30 2 1 1 2 1 0 2 0 0 1 0 0 0 3
| 3,832 |
3,448 |
857 t
909 28 1 1 2 12 0 3 3 2 1 0 4 0 0 1 0 0 1 0
| 1,108 |
1,108 -368 t
910 36 2 0 2 20 3 4 3 3 2 1 3 0 1 0 1 0 0 2
7,057 |
5,645 |
807 t
911 35 2 3 1 14 2 2 4 2 1 0 1 0 0 1 1 0 1 6
1,410 |
846 144 t
912 36 2 3 1 12 4 3 3 3 1 0 3 0 0 1 1 0 0 1
| 2,366 |
2,366 810 v
913 29 1 1 2 12 4 2 2 2 1 0 3 0 0 1 0 0 1 1
3,499 |
3,149
-1,351 |
t
914 44 3 1 1 12 2 2 2 1 1 1 2 0 0 0 1 0 0 4
1,881 |
1,128 |
264 v
915 46 0 4 2 18 4 4 4 2 1 0 4 0 0 1 0 0 0 4
| 1,582 |
1,582 344 t
916 34 0 0 2 6 4 2 2 1 2 0 1 0 0 1 0 0 1 4
1,898 |
1,328 218 v
917 |
31 2 1 2 24 4 4 4 2 1 0 4 0 0 1 1 0 1 6 1,935 967
-865 |
t
918 65 1 1 2 21 4 4 4 2 1 0 4 0 0 1 0 0 1 1 571 456 87 t
919 33 2 1 2 18 0 4 2 2 1 0 1 0 1 1 1 0 0 3
3,244 |
2,919 |
702 t
920 40 2 1 1 18 3 3 4 3 1 0 4 0 0 1 1 0 0 3
4,297 |
3,437 |
-1,255 |
t
921 55 0 4 1 12 2 2 3 2 1 0 3 0 0 1 0 1 0 2 1,413 1,271 384 t
922 64 0 1 1 10 2 4 2 2 1 0 2 0 0 1 1 0 0 1 1,364 1,364 373 t
923 22 1 1 1 24 2 1 1 2 1 0 4 0 1 0 0 0 0 3 3,149
1,889 |
323 v
924 39 1 1 1 30 2 3 4 2 2 0 1 1 0 1 0 0 0 4
2,522 |
1,765 |
376 t
925 22 0 1 1 18 2 4 0 2 1 1 3 0 0 0 0 0 1 4 433 346
-116 |
t
926 57 0 2 3 11 4 4 0 1 1 0 4 0 0 1 0 0 1 4 1,154 1,154 219 t
927 25 0 0 2 24 2 2 4 2 1 0 4 0 0 1 0 0 0 4 999 999 197 t
928 29 0 2 1 24 2 4 2 3 1 1 4 0 0 0 1 0 0 4
1,901 |
1,330 310 t
929 48 1 1 1 24 3 4 1 2 1 0 4 0 1 1 0 0 1 4
1,024 |
614 -325 v
930 32 2 4 2 21 4 2 3 2 1 0 3 0 0 1 1 0 0 3
2,745 |
1,647 171 v
931 22 2 1 1 9 2 4 2 1 1 1 4 0 0 0 0 0 1 1 276 220 50 t
932 27 1 1 2 15 3 4 4 1 1 0 1 0 0 1 0 0 0 3
| 3,643 |
3,643 855 t
933 28 2 1 1 6 2 4 4 2 2 0 4 0 0 1 0 0 0 4
1,068 |
640 152 v
934 31 2 1 1 10 2 2 2 1 1 0 4 0 0 1 0 0 0 3
1,521 |
912 207 t
935 32 2 4 2 9 4 3 4 2 2 0 4 0 0 0 0 0 0 5
1,136 |
681 -538 t
936 23 1 1 1 30 2 4 3 2 1 1 4 0 0 0 0 0 1 3 2,406 1,924
-1,024 |
v
937 40 2 1 1 18 2 4 3 2 1 1 2 0 0 0 0 0 1 3
3,001 |
2,700 |
699 v
938 52 0 2 2 6 4 4 2 1 1 0 4 0 0 1 0 0 0 1 362 253 41 t
| 939 |
27 0 1 2 9 2 2 3 2 1 0 3 0 0 1 0 0 0 6
1,449 |
1,159 200 v
940 43 0 4 2 24 4 1 2 1 1 0 4 0 0 1 0 0 1 4
1,516 |
1,061 172 t
941 28 3 3 3 12 4 2 3 2 1 0 4 0 0 1 1 0 1 1 939 751
-250 |
t
942 33 2 0 1 18 2 2 2 2 1 0 4 0 0 1 0 0 0 1
1,042 |
729
-364 |
t
943 55 1 1 3 18 4 4 0 0 2 0 2 0 0 0 0 0 0 0
1,190 |
833
-394 |
t
944 26 3 1 1 12 1 1 1 0 1 0 4 0 0 1 0 0 1 6 609 548
-349 |
t
945 61 2 4 2 15 3 3 2 2 1 0 3 0 1 1 0 0 0 0
1,512 |
907
-338 |
v
946 32 0 1 1 18 2 2 1 2 1 0 3 0 0 1 1 0 0 4
4,594 |
2,756 |
556 t
947 35 0 1 2 24 3 3 3 1 1 0 3 0 0 1 1 0 0 2
4,679 |
3,275 604 t
948 44 1 1 2 15 4 4 4 2 2 0 4 0 0 1 1 0 0 3 1,478 886 137 v
949 26 0 1 1 6 2 3 2 2 1 1 2 1 0 0 0 0 0 1
| 3,518 |
3,518
1,046 |
t
950 28 3 2 2 6 4 4 4 2 2 0 2 0 0 1 1 0 0 1
1,323 |
1,058 |
166 t
951 45 0 2 1 39 2 2 4 3 1 0 4 0 0 1 1 0 0 2
8,588 |
5,152 948 t
952 36 0 0 2 6 4 4 4 2 1 0 4 0 0 0 0 0 0 4 700 350 29 t
953 41 1 1 1 6 2 4 1 1 2 0 3 0 0 1 1 0 1 1 662 595 182 v
954 45 3 1 1 18 2 1 1 1 1 0 1 0 1 1 0 0 0 3
| 3,049 |
3,049 902 v
955 35 0 0 2 48 4 1 3 2 1 0 2 0 0 0 1 0 0 2
8,858 |
7,086 |
1,010 v
956 31 2 1 2 18 4 2 1 1 1 0 2 0 0 1 0 0 1 3
1,928 |
1,735 |
-849 |
v
957 31 1 1 1 48 2 2 2 2 1 0 3 0 0 1 1 0 0 4
6,758 |
4,054 |
-1,503 |
v
958 27 0 1 2 24 2 3 1 1 1 0 4 0 0 1 0 0 0 0 937 655 103 t
959 60 1 1 2 12 4 3 4 2 1 0 3 0 0 1 0 0 0 3
2,246 |
1,572
-654 |
t
960 32 0 1 1 24 3 2 2 2 1 0 1 0 0 0 0 0 0 6
3,863 |
3,476 |
975 t
961 45 0 0 1 15 2 4 4 2 2 0 4 0 1 0 0 0 0 2
1,300 |
780 130 v
962 49 0 1 1 12 2 2 2 1 1 0 4 0 0 1 0 0 1 1 640 320 44 t
963 64 0 0 1 9 2 4 4 1 1 0 1 0 0 1 0 0 1 5 3,832
1,916 |
323 v
964 26 1 1 2 42 3 2 3 2 2 0 3 0 1 1 1 0 0 4
4,370 |
3,933 |
-1,461 |
v
965 40 1 1 1 12 2 4 2 1 2 1 4 0 0 0 0 0 0 5 684 615
-487 |
v
966 41 2 1 1 18 4 1 4 2 1 0 2 0 0 1 1 0 0 3
6,361 |
5,088 |
1,098 t
967 47 3 1 1 30 4 4 4 2 1 0 4 0 0 1 0 0 0 4 3,017
1,810 |
323 t
968 26 0 1 1 18 2 1 1 2 1 0 3 0 0 1 0 0 1 4
1,453 |
1,162 |
293 v
969 31 1 4 1 12 2 3 2 2 2 0 1 0 0 1 0 0 0 1
3,651 |
3,285 |
882 t
970 40 3 1 1 15 2 4 4 3 1 1 4 0 0 0 1 0 0 5
1,905 |
1,143 |
208 v
971 |
37 2 1 1 9 2 2 2 1 2 0 2 0 0 1 0 0 1 4
| 2,118 |
2,118 630 t
972 31 2 2 2 20 0 4 4 2 1 0 3 0 1 1 1 0 0 2
6,148 |
4,918 |
809 t
973 36 3 4 2 24 4 4 2 2 1 0 2 0 0 1 1 0 1 6 1,275 892 116 t
974 26 2 2 2 30 0 4 2 1 1 1 4 0 0 0 0 0 0 6
4,280 |
2,568 |
-1,974 |
t
975 33 0 1 1 15 2 2 3 2 1 0 2 0 0 1 0 0 0 2
3,029 |
1,817 |
366 v
976 35 1 1 2 12 4 3 4 2 1 0 4 0 0 1 0 0 0 1 691 414
-225 |
t
977 63 0 1 2 12 4 4 4 1 1 0 2 0 0 1 1 0 1 4
1,655 |
1,489 |
288 t
978 67 2 1 1 18 2 4 0 2 1 0 2 0 0 1 1 0 0 0
| 3,872 |
3,872 1,149 v
979 27 1 1 1 40 4 3 2 2 1 0 4 0 1 1 1 0 0 5
5,998 |
4,198 |
-3,572 |
t
980 35 2 0 1 9 2 2 1 0 1 0 4 0 0 1 0 0 1 1
1,549 |
929 192 t
981 26 2 1 2 15 0 1 1 0 1 1 2 0 0 0 0 0 1 1
1,778 |
1,066 |
-428 v
982 |
26 1 1 1 18 2 3 2 2 1 0 4 0 1 1 0 0 1 4
1,345 |
807 -352 t
983 38 2 0 1 48 3 4 2 2 2 0 4 0 0 0 1 0 0 6
6,681 |
6,012 |
1,714 |
t
984 46 0 1 2 24 4 3 4 2 1 0 4 0 0 1 0 0 1 4
2,611 |
2,349 |
482 t
985 57 1 1 1 12 2 4 4 1 1 0 4 0 1 1 0 0 1 4 709 425
-142 |
v
986 |
26 0 2 1 9 2 2 2 2 2 1 1 1 0 0 0 1 1 1
3,577 |
2,146 481 t
987 24 1 1 1 12 2 4 4 2 1 1 4 0 0 0 0 0 0 3 652 456 112 v
988 36 0 0 2 30 4 3 3 2 1 0 2 0 0 1 0 0 0 4
6,742 |
4,045 |
459 t
989 40 0 0 2 28 1 4 1 2 2 1 3 1 1 0 1 0 1 2
7,824 |
7,041 |
1,536 |
v
990 42 1 1 1 18 2 3 2 2 1 0 2 0 0 1 0 0 0 3
4,153 |
3,322
-1,278 |
v
991 33 2 0 1 9 2 2 2 1 1 0 1 0 0 1 0 0 1 1
3,195 |
2,556 |
679 v
992 39 1 1 1 24 2 2 4 3 1 1 4 0 0 0 1 0 0 3
3,345 |
2,676
-971 |
v
993 43 1 1 2 12 3 2 2 1 2 0 4 0 0 1 0 0 1 1 1,344 940 158 v
994 46 0 0 2 24 4 4 2 3 2 0 2 0 0 1 1 0 0 2
6,842 |
5,473 |
894 t
995 31 0 2 2 24 2 4 4 2 1 0 2 0 0 1 0 0 0 4
3,621 |
3,258 |
-1,327 |
t
996 30 2 2 1 24 2 4 4 2 1 0 4 0 0 0 0 0 0 3
3,069 |
1,841 322 t
997 40 1 1 2 11 4 2 2 1 2 0 1 0 0 1 0 0 1 1
3,939 |
2,363 |
324 t
998 25 2 2 1 15 1 2 2 2 1 1 2 0 0 0 0 0 0 1 1,264 884
-286 |
t
999 48 2 1 2 24 4 2 4 1 1 0 4 0 0 1 0 0 0 4 1,743
1,394 |
202 t
1000 |
27 2 2 1 45 4 4 0 2 1 0 3 0 0 1 0 0 0 2
4,576 |
4,118 |
1,200 v
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
Data Dictionary
Var. # |
Variable Name |
Description |
Variable Type |
Code Description |
1 OBS#
Observation No. |
|
|
|
|
|
|
|
| Numerical |
Sequence number in dataset |
2 AGE
Age in years |
Numerical
3 CHK_ACCT
Checking account status |
|
|
|
|
|
|
| Categorical |
0 : < 0 |
1: 0 < ...< 200 |
2 : => 200 |
3: no checking account |
4 SAV_ACCT
Average balance in savings account |
Categorical
0 : < 100 |
1 : 100<= ... < 500 |
2 : 500<= ... < 1000 |
3 : =>1000 |
4 : unknown/ no savings account |
5 NUM_CREDITS
Number of existing credits |
Numerical
6 DURATION
Duration of credit in months |
Numerical
7 HISTORY
Credit history |
Categorical
0: no credits taken |
1: all credits at this bank paid back duly |
2: existing credits paid back duly till now |
3: delay in paying off in the past |
4: critical account |
8 PRESENT_RESIDENT
Present resident since – years |
Categorical
0: <= 1 year |
1<…<=2 years |
2<…<=3 years |
3:>4years |
9 EMPLOYMENT
Present employment since |
Categorical
0 : unemployed |
1: < 1 year |
2 : 1 <= ... < 4 years |
3 : 4 <=... < 7 years |
4 : >= 7 years |
10 JOB
Nature of job |
Categorical
0 : unemployed/ unskilled – non-resident |
1 : unskilled – resident |
2 : skilled employee / official |
3 : management/ self-employed/highly qualified employee/ officer |
11 NUM_DEPENDENTS
Number of people for whom liable to provide maintenance |
Numerical
12 RENT
Applicant rents |
|
|
|
|
|
| Binary |
|
|
|
|
|
| 0: No, 1: Yes |
13 INSTALL_RATE
Installment rate as % of disposable income |
Numerical
14 GUARANTOR
Applicant has a guarantor |
Binary 0: No, 1: Yes
15 OTHER_INSTALL
Applicant has other installment plan credit |
Binary 0: No, 1: Yes
16 OWN_RES
Applicant owns residence |
Binary 0: No, 1: Yes
17 TELEPHONE
Applicant has phone in his or her name |
Binary 0: No, 1: Yes
18 FOREIGN
Foreign worker |
Binary 0: No, 1: Yes
19 REAL_ESTATE
Applicant owns real estate |
Binary 0: No, 1: Yes
20 TYPE
Purpose of Credit |
Categorical
0: Other |
1: New Car |
2: Used Car |
3: Furniture |
4: Durable |
5: Education |
6: Retraining |
21 AMOUNT_REQUESTED
Credit Amount Applied for |
Numerical
22 CREDIT_EXTENDED
Credit Made |
Numerical
23 NPV
Net Profit from the Loan (Net Loss if Negative) |
Numerical
24 Splitting Variable
A variable added to ensure a balanced partition |
Categorical
t: training record, v: validation record |
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
_x000D__x000D_
Classification Trees and k-NN applied to Bank Credit
This assignment concludes the analysis of the credit data, exploring whether we can improve on our earlier analysis that utilized linear and logistic regression. Please refer to the earlier assignments for the data description, and repeat if needed the data preparation steps, using the
credit2.xlsx
data:
In the spreadsheet under the tab “Data,” you will find data pertaining to 1,000 personal loan accounts. The tab “Data Dictionary” contains a description of what the various variables mean.
As a part of a new credit application, the company collects information about the applicant. The company then decides an amount of the credit extended (the variable CREDIT_EXTENDED). For these 1,000 accounts, we also have information on how profitable each account turned out to be (the variable NPV). A negative value indicates a net loss, and this typically happens when the debtor defaults on his/her payments.
1. Create a categorical variable that indicates whether or not a new credit extension will result in a positive NPV.
2. Create dummy variables for all categorical variables with more than two values (if appropriate).
3. Split the data into two parts using the splitting variable that is a part of the data set[footnoteRef:1]. This is to ensure a more balanced split between the validation and training samples. After the data partition you should have 666 rows in your training data and 334 in your validation data. [1: If you run into issues that your # of columns exceeds 50, you may leave out the employment variable.]
Please answer all questions. Supply supporting documentation and show calculations as needed. Please submit a single well-formatted Word file. In addition, please upload an Excel file with your model outputs .
Classification trees
Classify customers as profitable/not profitable with a classification tree
1. Run the Classification Tree algorithm using all the relevant independent variables (excluding as before Credit Extended, Obs# etc. ) including all the dummy variables (recall that one does not exclude base values when running classification trees), with the profitable/not profitable as the output variable. Use the validation data to prune back the tree, and select to use the best pruned tree for scoring.
a. Include the classification confusion matrix for the validation sample and a figure of the best pruned tree as Exhibits.
2. Analyze the output.
a. How many decision nodes are in the best pruned tree?
b. What is the error rate for i) the training data and ii) the validation data in the best pruned tree?
c. What explains the difference in the error rate?
d. Which applicants for credit will get rejected by the model (using the best pruned tree)? (Describe the type of customers using the English language.)
3. Using the model for decision making.
a. Consider a 27-year-old domestic student that has $100 in her checking account but no savings account. The student has one existing credits, which has so far been paid back duly. The credit duration is 12 months. The applicant has been renting her current place for less than 12 months, does not own any real estate, just started graduate school (the present employment variable is set to 1 and nature of job to 2). The applicant has no dependents and no guarantor. The applicant wants to buy a used car and has requested $4,500 in credit, and therefore the installment rate is quite high, or 2.25%. However, the applicant does not have other installment plan credits. Finally, the applicant has a phone in her name.
How would the best pruned tree classify the student?
k-NN
Classify customers as profitable/not profitable with k-NN
4. Run the k-NN algorithm for classification, testing all values of k from 1 to 10, selecting to score the data on the best k (remember to standardize/normalize the data). Request detailed output for both the training and validation data.
a. Using the search log, plot the %Error of the validation sample. Include the plot in your assignment.
b. What is the best value of k?
c. Briefly explain why the % Error is zero for the training sample when k=1, but not for the validation sample.
5. Analyze the output.
a. What some of the main differences are between the customers identified as most likely to be profitable and the customers that are identified as least likely to be profitable? Briefly discuss.
Method comparisons
You have now run three different classification algorithms on this data; logistic regression, classification tree and k-NN. Compare their performance in two ways. First using statistical measures and second using their possible impact on the credit extension process. Feel free to take advantage of the solutions to Individual Assignment 2 as a starting point.
Hint: Below is a potential set-up to measure the business impact. First, collect the predicted probability of being profitable for both the training and validation data as well as the true NPV into a single spreadsheet. Perhaps similar to this:
Then select a cell for a cut-off (in my case I used E1). Then for each method and each sample we can calculate the cumulative profit, for a specific cut-off using the sumifs() function in Excel. Specifically, the following formula sums up the NPV of all credit extensions that are made using the training sample and logistic regression:
You then need to extend this approach to both data samples and all three methods. Perhaps similarly to this:
You can then create data tables to investigate the best cut-off for each method and the corresponding NPV on the validation data.
Week 2 Individual Assignment 2: Quantitative Analysis of Credit – Solutions
This assignment is based on the data we used during our two live sessions, but it has been updated to include a splitting variable (
credit2.xlsx
). In the spreadsheet under the tab “Data,” you will find data
pertaining to
1
,
0
00 personal loan accounts. The tab “Data Dictionary” contains a description of what the various variables mean.
As a part of a new credit application, the company collects information about the applicant. The company then decides an amount of the credit extended (the variable CREDIT_EXTENDED). For these 1,000 accounts, we also have information on how profitable each account turned out to be (the variable
NPV
). A negative value indicates a net loss, and this typically happens when the debtor defaults on his/her payments.
The goal in this assignment is to investigate how one can use this data to better manage the bank’s credit extension program. Specifically, our goal is to develop a classification model to classify a new credit account as “profitable” or “not profitable.” Secondly we want to compare its performance in the context of decision support to a linear regression model that predicts NPV directly.
Please answer all the questions. Supply supporting documentation and show calculations as
needed. Please submit a single, well-formatted PDF or Word file. The instructor should not need to go searching for your answers! In addition, please upload an Excel file with your model outputs – the file will not be graded, but will help the instructor give you feedback, if your model differs substantially from the solutions.
For extra assistance, you may want to access the tutorials located on the course resource center page.
Data Preparation
The data preparation repeats the steps from the live session:
a) The goal is to predict whether or not a new credit will result in a profitable account. Create a new variable to use as the dependent variable.
b) Create dummy variables for all categorical variables with more than 2 values (or if you prefer, you can sort your variables into numerical and categorical when you run the model).
c) Split the data into 2 parts using the splitting variable that has been added to the data set. This is to ensure a more balanced split between the
validation
and
training
samples.
Note
that Analytic Solver Data Mining only allows
50
columns in the analysis, so leave out your base dummies (if you created them) when partitioning. After the data partition, you should have 666 rows in your training data and 334 in your validation data.
The Assignment
1. Applying Logistic Regression
If one fits a Logistic Regression Model using all the independent variables, one observes a) a gap in the classification performance between the training data and the validation data, and b) very
high p-values for some of the variables. The performance gap between the training and validation may be a sign of overfitting, and the high p-values may be a sign of “useless” variables in the model, or of multicollinearity.
a) Our goal is to classify credit requests into “profitable” and “not profitable.” To that end, select to run “forward selection,” and set FIN down to 1.5 (this lowers the threshold for a variable to enter the model, resulting in more models to choose from). Select one of the forward selection models based on the principles discussed in the book and/or the tutorials on the course resource center and run it.
Note: Exclude Credit Extended and any other variables not appropriate for the analysis.
Include the model (the variables and the corresponding regression coefficients) as an Exhibit.
|
Predictor
|
|
Estimate
|
|
Intercept
|
–
0.1
409
|
AGE
|
0.0
350
|
NUM_CREDITS
|
–
0.3
472
|
DURATION
|
-0.0208
|
|
INSTALL_RATE
|
–
0.4
070
|
GUARANTOR
|
0.8
746
|
OTHER_INSTALL
|
–
0.6
841
|
OWN_RES
|
0.5
299
|
REAL_ESTATE
|
0.4792
|
|
AMOUNT_REQUESTED
|
-0.0001
|
GENDER_F
|
0.3894
|
|
CHK_ACCT_1
|
0.7
863
|
|
CHK_ACCT_2
|
1.3594
|
|
CHK_ACCT_3
|
2.1811
|
|
SAV_ACCT_4
|
0.8059
|
HISTORY_4
|
0.6811
|
PRESENT_RESIDENT_2
|
-0.4176
|
EMPLOYMENT_2
|
0.3505
|
EMPLOYMENT_3
|
0.7936
|
|
TYPE_2
|
1.9168
|
TYPE_3
|
0.5290
|
TYPE_4
|
0.6752
|
Please refer to the Excel solutions for additional details.
b) Why did you select this particular model?
From the feature selection output we chose to run the model with 18 coefficients. This model was chosen because it has Cp close to the number of coefficients in the model (and not higher), it has probability above .05 and the improvement in RSS if we expand the model further is relatively small.
c) Based on your model, and setting the
cut-off
value to 0.5, please provide the following information (based on the validation data):
· The sensitivity of the model: 0.88
· The specificity of the model: 0.495
In other words, at the default cut-off we correctly identify 88% of the profitable customers, but include around 50% of the unprofitable customers.
2. ROC Curves
a) We now want to compare the predictive performance of the model on the training sample and on the validation sample. Create a single figure that compares the ROC curves for both the training sample and the validation sample. Please refer to the ROC tutorials in the resource center as needed for a step-by-step guide for creating an ROC curve. Alternatively, you can combine the two curves that Analytical Solver Data Mining provides into a single plot.
Include a
clean
figure as an Exhibit.
3. Finding the “best” cut-off
a) Create a data-table to calculate the
total
NPV (assuming we extend credit to all classified as
“profitable” as a function of the cut-off based on the training data. Select the best cut- off.
Include the table as an Exhibit.
cut-off
|
|
|
|
0
|
0.1
|
0.2
|
0.3
|
0.4
|
0.5
|
0.6
|
0.7
|
0.8
|
0.9
|
1
|
NPV training
|
-56740
|
-26705
|
-2644
|
18771
|
45734
|
68023
|
88312
|
90
200
|
84
550
|
63883
|
0
NPV validation
|
-39141
|
-15636
|
-6309
|
13945
|
31128
|
36599
|
51636
|
51623
|
43999
|
32005
|
0
Please refer to the solutions for a more detailed table.
b) What is your selected cut-off? 0.725 (based on a more detailed table in the Excel file)
c) Create the same table for the validation data. Include the table as an Exhibit.
Refer to the table above
d) Apply the cut-off you selected based on the training data to the validation data. What is the total profit on the validation data? $51,330
e) Provide a figure that shows the cumulative NPV as a function of the cut-off for both the training data and the validation data.
4. Comparison with linear regression
a) Repeat our model development from our first live session (note you need to repeat the steps as we now have a new data split). Rerun a variable selection model to find a “good model” using the updated data.
Include the model (the variables and the corresponding regression coefficients) as an Exhibit.
For my linear regression model I selected to run a stepwise selection with the default
parameters. Note that this is not the only “correct” model, a careful analysis would have included both backwards, forwards and stepwise variable selection and the comparison of a couple of candidate models, before selecting one based on their performance (and you can define performance in multiple ways as we have discussed). Hopefully your model’s performance exceeds the performance of the model discussed here!
Predictor
Estimate
P-Value
|
Intercept
594.6747
|
|
|
|
|
<
0.001
|
RENT
|
-288.596
|
0.010
|
INSTALL_RATE
-152.409
|
<0.001
AMOUNT_REQUESTED
-0.17395
|
<0.001
CHK_ACCT_1
327.4346
|
0.005
|
CHK_ACCT_2
396.0738
|
0.033
|
CHK_ACCT_3
563.3212
|
<0.001
SAV_ACCT_4
378.5465
|
|
0.001
|
TYPE_2
525.5611
|
<0.001
TYPE_5
|
-489.718
|
0.011
|
TYPE_6
|
-50
0
.304
|
0.001
b) Create a data table that summarizes the total profit as a function of the NPV cut-off for extending credit on the training data (note that now your cut-off is in $ you will need to investigate what is a good cut-off, for example -$50 or $50, or something else). Select the best cut-off.
Include the table as an Exhibit.
Please refer to the Excel file for detailed information, the table below shows some highlights.
total
training
|
NPV
validation
|
–
750
|
74541
|
16890
|
–
700
|
75131
|
19502
|
–
650
|
73680
|
24582
|
–
600
|
71729
|
27223
|
-550
|
79911
|
28620
|
–
500
|
77482
|
30658
|
–
450
|
80913
|
30622
|
–
400
|
89518
|
33657
|
-350
|
86859
|
41614
|
–
300
|
78862
|
41014
|
–
250
|
84718
|
41885
|
-200
|
85475
|
44566
|
–
150
|
81744
|
39188
|
–
100
|
80865
|
36418
|
-50
|
75280
|
31917
|
0
71269
|
31705
|
50
|
64194
|
29323
|
100
|
62314
|
27407
|
150
|
59080
|
19587
|
200
|
52279
|
19844
|
250
|
50432
|
19938
|
300
|
46356
|
20864
|
350
|
40465
|
16292
|
400
|
33020
|
18002
|
450
|
25780
|
16046
|
500
|
22455
|
13862
|
550
|
16736
|
9610
|
600
|
12651
|
8478
|
650
|
9394
|
6152
|
700
|
9235
|
6167
|
750
|
8759
|
5329
|
c) What is your selected cut-off? -$400
d) Create the same table for the validation data and include it as an Exhibit.
Please refer to the table above
e) Apply the cut-off you found to the validation data. What is the total profit on the validation data? $33,657
f) Provide a figure that shows the cumulative NPV as a function of the cut-off for both the training data and the validation data.
5. Model comparison
a) Compare the performance of the logistic regression model and the linear regression model. How does the total profit compare for the two models? Which model would you select as the foundation of a decision support system and why?
When we compare the performance as measured by the total NPV is higher for both the training and the validation sample, as a result I would select my Logistic Regression model over the Linear Regression model (although it may be worth the effort to try to improve on the linear regression model).
Turn in your highest-quality paper
Get a qualified writer to help you with
“ Classification Trees and k-NN ”
Get high-quality paper
NEW! AI matching with writer