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import numpy as np
__all__ = ["seed_corrcoef"]
def seed_corrcoef(seed, target):
"""Compute seed-based correlation coefficient"""
x = target - np.mean(target, -1)[..., np.newaxis]
y = seed - np.mean(seed)
xx = np.sum(x ** 2, -1)
yy = np.sum(y ** 2, -1)
xy = np.dot(x, y)
r = xy / np.sqrt(xx * yy)
return r
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