I've been investigating a truly bizarre bug related to the use of numpy.linalg.eig.
I have two classes which both use numpy.linalg.eig. These classes are used at very different times and are not connected in any way other than the fact that they both share this particular dependancy. I have found that whichever class is called second will produce a slightly different answer if numpy.linalg.eig is used sometime earlier. I've eliminated all other variables besides the call to eig(). This seems completely implausible, and yet I have the data. As far as I am aware, eig() is wholly stateless and therefore using it should not affect any subsequent calls to the function, right? Numpy==1.2.1, Scipy==0.7.0 I've checked the bug-trac for this function and can find no references to bugs which cause it to hold-state, even in the somewhat out of date version of numpy. Can somebody let me know if there's something that I'm missing.
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