stats: fixed the computation of variance when it is equal to 0
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@ -119,9 +119,12 @@ def mean(values, options):
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def variance(v):
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def variance(v):
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if len(v)==1:
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if len(v)==1:
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return 0
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return 0
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s = reduce(lambda x,y:(x[0]+y,x[1]+y**2),v,(0.,0.))
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s = reduce(lambda x,y:(x[0]+y,x[1]+y**2),v,(0.,0.))
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return s[1]/(len(v)-1) - s[0]**2/len(v)/(len(v)-1)
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var = round(s[1]/(len(v)-1) - s[0]**2/len(v)/(len(v)-1), 5) # round to go around shady python rounding stuff when var is actually 0
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if var == -0.0: # then fix -0 to +0 if was rounded to -0
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var = 0.0
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return var
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def varpop(values, options):
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def varpop(values, options):
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