pycroscopy / pyTEMlib

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

Update version.py #170

Closed gduscher closed 2 months ago

codecov-commenter commented 2 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 23.18%. Comparing base (6596690) to head (d5b02f8). Report is 4 commits behind head on main.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #170 +/- ## ======================================= Coverage 23.18% 23.18% ======================================= Files 42 42 Lines 10254 10254 ======================================= Hits 2377 2377 Misses 7877 7877 ``` | [Flag](https://app.codecov.io/gh/pycroscopy/pyTEMlib/pull/170/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/170/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pycroscopy) | `23.18% <100.00%> (ø)` | | 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.

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.