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pycroscopy / pyTEMlib

TEM data quantification library through a model-based approach
https://pycroscopy.github.io/pyTEMlib/
MIT License
16 stars 9 forks source link

Use dict3 #172

Closed gduscher closed 2 weeks ago

codecov-commenter commented 2 weeks ago

Codecov Report

Attention: Patch coverage is 9.52381% with 19 lines in your changes missing coverage. Please review.

Project coverage is 22.65%. Comparing base (f63ad7d) to head (fdf71ce). Report is 4 commits behind head on main.

Files with missing lines Patch % Lines
pyTEMlib/low_loss_widget.py 0.00% 12 Missing :warning:
pyTEMlib/eels_tools.py 0.00% 7 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #172 +/- ## ========================================== + Coverage 22.29% 22.65% +0.36% ========================================== Files 42 42 Lines 10524 10537 +13 ========================================== + Hits 2346 2387 +41 + Misses 8178 8150 -28 ``` | [Flag](https://app.codecov.io/gh/pycroscopy/pyTEMlib/pull/172/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pycroscopy) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/pycroscopy/pyTEMlib/pull/172/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pycroscopy) | `22.65% <9.52%> (+0.36%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pycroscopy#carryforward-flags-in-the-pull-request-comment) to find out more.

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