Tensor fixes - Githubissues

a-r-j commented 1 year ago

Reference Issues/PRs

Improvements to insertions/non-standard residue handling in graphein.protein.tensor module.

What does this implement/fix? Explain your changes

What testing did you do to verify the changes in this PR?

Pull Request Checklist

[ ] Added a note about the modification or contribution to the ./CHANGELOG.md file (if applicable)
[x] Added appropriate unit test functions in the ./graphein/tests/* directories (if applicable)
[x] Modify documentation in the corresponding Jupyter Notebook under ./notebooks/ (if applicable)
[x] Ran python -m py.test tests/ and make sure that all unit tests pass (for small modifications, it might be sufficient to only run the specific test file, e.g., python -m py.test tests/protein/test_graphs.py)
[x] Checked for style issues by running black . and isort .

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage: 40.16% and project coverage change: +3.77 :tada:

Comparison is base (8123f42) 40.27% compared to head (5f648d2) 44.04%.

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #307 +/- ## ========================================== + Coverage 40.27% 44.04% +3.77% ========================================== Files 48 113 +65 Lines 2811 7761 +4950 ========================================== + Hits 1132 3418 +2286 - Misses 1679 4343 +2664 ``` | [Impacted Files](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb) | Coverage Δ | | |---|---|---| | [graphein/ml/datasets/foldcomp\_dataset.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vbWwvZGF0YXNldHMvZm9sZGNvbXBfZGF0YXNldC5weQ==) | `0.00% <0.00%> (ø)` | | | [graphein/ml/diffusion.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vbWwvZGlmZnVzaW9uLnB5) | `0.00% <0.00%> (ø)` | | | [graphein/ml/metrics/\_\_init\_\_.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vbWwvbWV0cmljcy9fX2luaXRfXy5weQ==) | `0.00% <0.00%> (ø)` | | | [graphein/ml/metrics/gdt.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vbWwvbWV0cmljcy9nZHQucHk=) | `0.00% <0.00%> (ø)` | | | [graphein/ml/metrics/tm\_score.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vbWwvbWV0cmljcy90bV9zY29yZS5weQ==) | `0.00% <0.00%> (ø)` | | | [graphein/ppi/graph\_metadata.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vcHBpL2dyYXBoX21ldGFkYXRhLnB5) | `0.00% <0.00%> (ø)` | | | [graphein/ppi/visualisation.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vcHBpL3Zpc3VhbGlzYXRpb24ucHk=) | `0.00% <0.00%> (ø)` | | | [graphein/protein/analysis.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vcHJvdGVpbi9hbmFseXNpcy5weQ==) | `0.00% <0.00%> (ø)` | | | [graphein/protein/features/utils.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vcHJvdGVpbi9mZWF0dXJlcy91dGlscy5weQ==) | `27.77% <0.00%> (ø)` | | | [graphein/protein/folding\_utils.py](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb#diff-Z3JhcGhlaW4vcHJvdGVpbi9mb2xkaW5nX3V0aWxzLnB5) | `0.00% <0.00%> (ø)` | | | ... and [95 more](https://codecov.io/gh/a-r-j/graphein/pull/307?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Arian+Jamasb) | | 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=Arian+Jamasb). 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=Arian+Jamasb)

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