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[Snyk] Fix for 4 vulnerabilities #149
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,2 +1,5 @@ | ||
| opencv-python==4.3.0.36 | ||
| azureml-automl-dnn-vision>=1.47.0 | ||
| azureml-automl-dnn-vision>=1.47.0 | ||
| pyasn1>=0.6.2 # not directly required, pinned by Snyk to avoid a vulnerability | ||
| torch>=2.10.0 # not directly required, pinned by Snyk to avoid a vulnerability | ||
| wheel>=0.46.2 # not directly required, pinned by Snyk to avoid a vulnerability | ||
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This change introduces a major version upgrade for
torch(from1.xto>=2.10.0). This is a significant risk and is likely to introduce breaking API changes, which could break existing functionality that depends ontorch(e.g., viatorchmetrics). Other dependencies in this project, likepydanticandnumpy, are carefully pinned to avoid major version upgrades, and the same caution should be applied here. Additionally, pinning transitive dependencies in this file can lead to a fragile dependency setup. The extensive list of warnings in the pull request description indicates that the dependency tree is already inconsistent. Merging these changes without resolving the underlying conflicts will likely break the environment. It is strongly recommended to reject this automated change and instead perform a comprehensive update of dependencies, resolving all conflicts, and thoroughly testing the application.