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Small TransformWrapper cleanups. #24640

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Merged
merged 1 commit into from
Dec 7, 2022
Merged

Small TransformWrapper cleanups. #24640

merged 1 commit into from
Dec 7, 2022

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anntzer
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@anntzer anntzer commented Dec 6, 2022

Move _init() and _set() into set().

_init was split out in 5478183 to improve the pickling of TransformWrappers but was made unnecessary in 08387d8 following improvements in pickling in recent Pythons. _set and set can also easily be combined.

Make input_dims, output_dims straight properties similarly to is_affine & friends; and improve the error message for mismatched dimensions (to indicate the wrong values).

PR Summary

PR Checklist

Documentation and Tests

  • Has pytest style unit tests (and pytest passes)
  • Documentation is sphinx and numpydoc compliant (the docs should build without error).
  • New plotting related features are documented with examples.

Release Notes

  • New features are marked with a .. versionadded:: directive in the docstring and documented in doc/users/next_whats_new/
  • API changes are marked with a .. versionchanged:: directive in the docstring and documented in doc/api/next_api_changes/
  • Release notes conform with instructions in next_whats_new/README.rst or next_api_changes/README.rst

@QuLogic
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QuLogic commented Dec 7, 2022

Perhaps we should be testing the incorrect dimensions exception as well?

@anntzer
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anntzer commented Dec 7, 2022

sure, done.

Move _init() and _set() into set().

_init was split out in 5478183 to improve the pickling of
TransformWrappers but was made unnecessary in 08387d8 following
improvements in pickling in recent Pythons.  _set and set can also
easily be combined.

Make input_dims, output_dims straight properties similarly to is_affine
& friends; and improve the error message for mismatched dimensions (to
indicate the wrong values).
@ksunden ksunden added this to the v3.7.0 milestone Dec 7, 2022
@ksunden ksunden merged commit 7aaf814 into matplotlib:main Dec 7, 2022
@anntzer anntzer deleted the tw branch December 7, 2022 17:54
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3 participants