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brentp / skidmarks

find runs (non-randomness) in sequences
MIT License
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issue with scipy latest and gap test #7

Open kvak opened 2 years ago

kvak commented 2 years ago

Hello,

With 

In [80]: scipy.__version__
Out[80]: '1.9.1'

skidmarks.gap_test('101010111101000', item='0') return:

ValueError: For each axis slice, the sum of the observed frequencies must agree with the sum of the expected frequencies to a relative tolerance of 1e-08, but the percent differences are:
1.6237141298424835

Can you advise?