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"""
Utility functions for GenSVM
"""
import numpy as np
def get_ranks(x):
"""
Rank data in an array. Low values get a small rank number. Ties are broken
by assigning the lowest value.
Examples
--------
>>> x = [7, 0.1, 0.5, 0.1, 10, 100, 200]
>>> get_ranks(x)
[4, 1, 3, 1, 5, 6, 7]
"""
x = np.ravel(np.asarray(x))
l = len(x)
r = 1
ranks = np.zeros((l, ))
while not all([k is None for k in x]):
m = min([k for k in x if not k is None])
idx = [1 if k == m else 0 for k in x]
ranks = [r if idx[k] else ranks[k] for k in range(l)]
r += sum(idx)
x = [None if idx[k] else x[k] for k in range(l)]
return ranks
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