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)
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
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