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Inverted index in NumPy
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import numpy as np | |
class InvertedIndex(object): | |
def __init__(self, x): | |
self.J = np.argsort(x) | |
D = np.ediff1d(x[self.J], to_begin=1, to_end=1) | |
self.I = np.repeat(np.arange(len(D)), D) | |
def __getitem__(self, k): | |
return self.J[self.I[k]:self.I[k + 1]] | |
if __name__ == '__main__': | |
x = np.array([3, 2, 5, 2, 4, 0, 2, 5]) | |
print('input :', x) | |
iidx = InvertedIndex(x) | |
for k in range(max(x) + 1): | |
print('query', k, ':', iidx[k]) | |
# > python iidx.py | |
# input : [3 2 5 2 4 0 2 5] | |
# query 0 : [5] | |
# query 1 : [] | |
# query 2 : [1 3 6] | |
# query 3 : [0] | |
# query 4 : [4] | |
# query 5 : [2 7] |
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