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Description
As reported by Lingfeng Cheng at Cornell, input data cannot have NaN values even if the corresponding values are masked with weights=0. Normally masked data (weights=0) are effectively ignored via line 247:
b = A.T.dot( w*b )
But if any of the data in b are NaN, this results in a NaN output, not a 0 output for that element even if w (=weights) is 0. This results in an error like:
ValueError: On entry to DGELSD parameter number 6 had an illegal value
At minimum, catch NaNs in the input and report as a meaningful error. Explore whether masked NaNs can be ignored without requiring rewriting or recopying the input array.
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