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Description
The following program produces wrong results for Numpy 1.13.3 for the 32-bit win32 wheel numpy-1.13.3-cp36-none-win32.whl:
import numpy as np
m = np.array([[1, 0.3], [0.3, 1]])
c = np.linalg.cholesky(m)
print(np.__version__, "\n", c)
assert np.allclose(c @ c.T, m)
it prints
1.13.3
[[ -2.00000000e+00 0.00000000e+00]
[ -1.50000000e-01 -9.55902467e-54]]
Traceback (most recent call last):
File "test.py", line 5, in <module>
assert np.allclose(c @ c.T, m)
AssertionError
The 64-bit windows wheels appear to be OK.
The result for Numpy 1.13.1 (numpy-1.13.1-cp36-none-win32.whl) is also OK:
1.13.1
[[ 1. 0. ]
[ 0.3 0.9539392]]
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