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attachment:classification.py of Management/Scientific Council/EvaluationOfLipResearchers

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   1 import matplotlib.pyplot as plt
   2 import numpy as np
   3 import random
   4 
   5 # Weights
   6 lower = [0.4,0.1,0.1,0.05]
   7 upper = [0.7,0.4,0.2,0.3]
   8 
   9 # Weights Exception
  10 #lower = [0.,0.,0.,0.05]
  11 #upper = [0.7,0.4,0.2,0.9]
  12 
  13 grades = [5, 3, 2, 2]
  14 weights = [0,0,0,0]
  15 
  16 idxsort = np.argsort(grades)
  17 
  18 print 'grades', grades
  19 print 'idxsort', idxsort
  20 weights[idxsort[0]] = lower[idxsort[0]]
  21 weights[idxsort[1]] = lower[idxsort[1]]
  22 weights[idxsort[3]] = upper[idxsort[3]]
  23 weights[idxsort[2]] = 1-weights[idxsort[0]]-weights[idxsort[1]]-weights[idxsort[3]]
  24 
  25 grade = sum(np.multiply(grades,weights))
  26 print 'Final grade {:1.2f}  +10% {:1.2f}  -10% {:1.2f} '.format(grade,1.01*grade,0.9*grade)
  27 print 'Weights: ', weights

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