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We've explored unittest, pytest, pandas._testing, as well as a basic framework using Python's __main__ construct and assert statements.
unittest
pytest
pandas._testing
__main__
assert
Avoid frameworks like uniuttest and pytest for now. Use this pattern instead ...
uniuttest
def f(): ... return something if __name__ == '__main__': assert f() == something, 'it is broken'
The text was updated successfully, but these errors were encountered:
Let's refactor our code to use this testing framework throughout.
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#8 refactor data_utils.py to use our testing convention. Delete tests…
c7b320a
…/data_utils.ut.py
#8 remove bollinger and matplotlib unittest experiments
2db3abc
Unittest removed Validation tests expanded profiler_v2.time_this is called as a function on imported functions
Validation tests in separate .csv files add complexity. It was nice to be able to see the ground truth example in the main section.
emican
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We've explored
unittest
,pytest
,pandas._testing
, as well as a basic framework using Python's__main__
construct andassert
statements.Avoid frameworks like
uniuttest
andpytest
for now. Use this pattern instead ...The text was updated successfully, but these errors were encountered: