iris
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Prevent warning repeats
🚀 Pull Request
Attempts to address #5464, the result of investigations done for #5499.
This approach attempts to align the behaviour of warnings more closely with what ought to be the default behaviour of warnings. This currently comes at the expense of "hard coding" some of this behaviour to match what you would get when calling warnings.simplefilter("default"). When setting warnings.simplefilter("always") the expected behaviour would be for all warnings to be raised, however some will be caught, as per the behaviour of warnings.simplefilter("default"). Similarly, this does not go as far as to guarantee that warnings.simplefilter("once") will behave as expected, though it should not introduce any duplications that weren't already present.
The above problems could potentially be solved with some additional logic if I could figure out a way to determine which of these behaviours warnings expected at any given point in the code. Otherwise, it may be an acceptable payoff to hardcode this behaviour if it would reduce unwanted warnings in most cases.
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Comparison is base (
a47fd34) 89.71% compared to head (83859f7) 89.37%. Report is 5 commits behind head on main.
:exclamation: Current head 83859f7 differs from pull request most recent head 7e8871e. Consider uploading reports for the commit 7e8871e to get more accurate results
Additional details and impacted files
@@ Coverage Diff @@
## main #5506 +/- ##
==========================================
- Coverage 89.71% 89.37% -0.34%
==========================================
Files 90 89 -1
Lines 22815 22456 -359
Branches 5438 5388 -50
==========================================
- Hits 20468 20071 -397
- Misses 1617 1639 +22
- Partials 730 746 +16
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Before
After
(forgive the difference in test numbers - different PRs)
Thanks @ESadek-MO and @stephenworsley for exploring alternative solutions (#5536). I'm still unhappy that this PR effectively disables some of the actions in the Python warnings filter, but we've effectively been backed into that corner by forces outside our control.
Thankfully, we now have documentation about Iris warnings: filtering_warnings.rst. I would be worth:
- Adding a heading/admonitions to
filtering_warnings.rstto clearly document Iris' deviation from standard Python behaviour. - Reviewing the existing text of
filtering_warnings.rstto check it is not misleading in light of the changes in this PR.