Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
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build(deps): bump pydantic from 2.7.0 to 2.7.1 #210
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laserkelvin
commented
5 months ago
Bumps pydantic from 2.7.0 to 2.7.1.
Release notes
Sourced from pydantic's releases.
Changelog
Sourced from pydantic's changelog.
Commits
26129472.7.1 release prep (#9307)2b8efa2Move TODO regarding pickling to markdown (#9288)73d1049adds test case for unexpected discriminated union behavior (#9236)c33b925Change CI to usemacos-13for Python 3.8 and 3.9 (#9305)82e4664Fix model json schema with config types (#9287)a0f18e3Fix bullets in Strict Mode docs (#9296)77b0e1cAddress case where model_construct on a class which defines model_post_init f...6322b24Fixstrictapplication tofunction-afterwithuse_enum_values(#9279)bb857bddocs(performance): remove section on literal vs enum performance (#9262)3c15a8bdocs: makeTypeAdapterexample PEP-8 compliant (#9268)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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