On Tue, 2020-02-18 at 10:14 -0500, josef.p...@gmail.com wrote: > I'm trying to track down test failures of statsmodels against recent > master dev versions of numpy and scipy. > > The core computation is the following in one set of tests that fail > > pvals_corrected_raw = pvals * np.arange(ntests, 0, -1) > pvals_corrected = np.maximum.accumulate(pvals_corrected_raw) >
Hmmm, the two git hashes indicate few changes between the two versions (mainly unicode related). However, recently there was also the addition of AVX-512F loops to maximum, so that seems like the most reasonable candidate (although I am unsure it changed exactly between those versions, it is also more complex maybe due to needing a machine that supports the instructions). Some details about the input could be nice. But if this is all that is as input, it sounds like it should be a contiguous array? I guess it might include subnormal numbers or NaN? Can you open an issue with some of those details if you have them? - Sebastian > this numpy version > numpy-1.19.0.dev0%2B20200214184618_1f9ab28-cp38-cp38- > manylinux2010_x86_64.whl > is in the test run with failures (the first time statsmodel master > failed) > > the previous version in the test runs didn't have these failures > numpy-1.19.0.dev0%2B20200212232857_af0dfce-cp38-cp38- > manylinux1_x86_64.whl > > > I'm right now just fishing for candidates for the failures. And I'm > not running any dev versions on my computer. > > Were there any recent changes that affect np.maximum.accumulate? > > Josef > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion
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