tobac
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Added more documentation for dealing with big datasets
Added more details to our documentation around dealing with big datasets, including a new example notebook of running feature detection in parallel.
With @RBhupi from tobathon February 2024
- [x] Have you followed our guidelines in CONTRIBUTING.md?
- [x] Have you self-reviewed your code and corrected any misspellings?
- [x] Have you written documentation that is easy to understand?
- [x] Have you written descriptive commit messages?
- [ ] Have you added NumPy docstrings for newly added functions?
- [ ] Have you formatted your code using black?
- [ ] If you have introduced a new functionality, have you added adequate unit tests?
- [x] Have all tests passed in your local clone?
- [x] If you have introduced a new functionality, have you added an example notebook?
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- [x] Have the newest changes from this branch been merged?
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 60.91%. Comparing base (
57612ec
) to head (e85c446
). Report is 18 commits behind head on RC_v1.5.x.
Additional details and impacted files
@@ Coverage Diff @@
## RC_v1.5.x #408 +/- ##
==========================================
Coverage 60.91% 60.91%
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Files 23 23
Lines 3541 3541
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Hits 2157 2157
Misses 1384 1384
Flag | Coverage Δ | |
---|---|---|
unittests | 60.91% <ø> (ø) |
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Linting results by Pylint:
Your code has been rated at 8.70/10 (previous run: 8.70/10, +0.00) The linting score is an indicator that reflects how well your code version follows Pylint’s coding standards and quality metrics with respect to the RC_v1.5.x branch. A decrease usually indicates your new code does not fully meet style guidelines or has potential errors.
I'm ready for a review!
Ok, @fsenf, I believe I've addressed your comments and I am now ready for a re-review.