def quantile (x, p) correction in statistics.py
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If the value `p = 1 (100%)` is chosen, `sorted(x)[p_index]` is out of bounds because `p_index = p * len(x) = 1 * len(x) = len(x)` and the list `x` is indexed from `[0]` to `[len(x)-1]`. The proposed correction is to change line 50 of statistics.py from `p_index = int(p * len(x)) - 1` to `p_index = int(p * len(x)) - 1`.
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If the value
p = 1 (100%)is chosen,sorted(x)[p_index]is out of bounds becausep_index = p * len(x) = 1 * len(x) = len(x)and the listxis indexed from[0]to[len(x)-1].Correction proposed (line 50 of statistics.py):
p_index = int(p * len(x))top_index = int(p * len(x)) - 1