codecov-commenter
commented
1 year ago Codecov Report
Patch coverage: 100.00% and project coverage change: +0.13 :tada:
Comparison is base (
482b7b7) 77.38% compared to head (a5c4f45) 77.52%.
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Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #306 +/- ## ========================================== + Coverage 77.38% 77.52% +0.13% ========================================== Files 29 29 Lines 2242 2251 +9 Branches 366 372 +6 ========================================== + Hits 1735 1745 +10 + Misses 380 379 -1 Partials 127 127 ``` | [Impacted Files](https://codecov.io/gh/PTB-M4D/PyDynamic/pull/306?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PTB-M4D) | Coverage Δ | | |---|---|---| | [src/PyDynamic/uncertainty/propagate\_MonteCarlo.py](https://codecov.io/gh/PTB-M4D/PyDynamic/pull/306?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PTB-M4D#diff-c3JjL1B5RHluYW1pYy91bmNlcnRhaW50eS9wcm9wYWdhdGVfTW9udGVDYXJsby5weQ==) | `70.45% <100.00%> (+1.82%)` | :arrow_up: | ... and [1 file with indirect coverage changes](https://codecov.io/gh/PTB-M4D/PyDynamic/pull/306/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PTB-M4D) Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PTB-M4D). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PTB-M4D):umbrella: View full report in Codecov by Sentry.
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This PR fixes #305 and also adds new functionality to the
UMC_genericmethod.UMC_genericcan now:Both options reduce the computational/memory requirements at the cost of . These options are useful for long output vectors (tested up to 1.5e6 entries), where the covariance matrix (likely) doesn't fit into memory any more. (E.g., for 1.5e6 entries, the covariance would need 16TiB, whereas the main diagonal only requires 12MiB. (64bit floats) )