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@njzjz njzjz commented Oct 7, 2024

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Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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Hello @njzjz! Thanks for opening this PR. We checked the lines you've touched for PEP 8 issues, and found:

Line 634:80: E501 line too long (84 > 79 characters)
Line 697:80: E501 line too long (84 > 79 characters)
Line 698:80: E501 line too long (84 > 79 characters)
Line 720:80: E501 line too long (86 > 79 characters)

Line 225:80: E501 line too long (80 > 79 characters)
Line 228:80: E501 line too long (81 > 79 characters)

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codecov bot commented Oct 7, 2024

Codecov Report

Attention: Patch coverage is 89.74359% with 4 lines in your changes missing coverage. Please review.

Project coverage is 90.46%. Comparing base (83afb8b) to head (be22013).
Report is 1 commits behind head on master.

Files with missing lines Patch % Lines
deepmd_gnn/mace.py 89.74% 4 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##           master      #27      +/-   ##
==========================================
- Coverage   90.72%   90.46%   -0.27%     
==========================================
  Files           5        5              
  Lines         507      493      -14     
==========================================
- Hits          460      446      -14     
  Misses         47       47              

☔ View full report in Codecov by Sentry.
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@njzjz njzjz merged commit f4c6b22 into master Oct 7, 2024
@njzjz njzjz deleted the mace-in-batch branch October 7, 2024 22:29
njzjz added a commit to njzjz/deepmd-kit that referenced this pull request Nov 28, 2024
Copied from deepmodeling/deepmd-gnn#27.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
github-merge-queue bot pushed a commit to deepmodeling/deepmd-kit that referenced this pull request Nov 30, 2024
Copied from deepmodeling/deepmd-gnn#27.

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **Bug Fixes**
- Enhanced the robustness of the testing framework to ensure consistent
model output across multiple frames of input data.
- Added assertions to validate output equivalence for the first and
second frames.

- **Tests**
- Adjusted the testing methods to accommodate changes in input
dimensionality and ensure proper validation of model behavior.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
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3 participants