Test matgl with python 3.12

[jan-janssen]

No description provided.

[coderabbitai]

Warning

Rate limit exceeded

@jan-janssen has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 6 minutes and 18 seconds before requesting another review.

How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

Commits

Files that changed from the base of the PR and between 9a2ac75 and e25cecf.

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[jan-janssen]

The following packages are incompatible
  ├─ matgl 1.1.2**  is installable and it requires
  │  ├─ dgl >=2.0.0  with the potential options
  │  │  ├─ dgl [2.0.0|2.1.0] would require
  │  │  │  └─ python_abi 3.10.* *_cp310, which can be installed;
  │  │  ├─ dgl [2.0.0|2.1.0] would require
  │  │  │  └─ python_abi 3.11.* *_cp311, which can be installed;
  │  │  ├─ dgl [2.0.0|2.1.0] would require
  │  │  │  └─ python_abi 3.9.* *_cp39, which can be installed;
  │  │  ├─ dgl [2.0.0|2.1.0] would require
  │  │  │  └─ pytorch * *cuda* with the potential options
  │  │  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1] would require
  │  │  │     │  └─ python_abi 3.10.* *_cp310, which can be installed;
  │  │  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1] would require
  │  │  │     │  └─ python_abi 3.8.* *_cp38, which can be installed;
  │  │  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1] would require
  │  │  │     │  └─ python_abi 3.9.* *_cp39, which can be installed;
  │  │  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1] would require
  │  │  │     │  └─ __cuda, which is missing on the system;
  │  │  │     ├─ pytorch [2.0.1|2.3.0] would require
  │  │  │     │  └─ __cuda >=11.8 , which is missing on the system;
  │  │  │     ├─ pytorch [1.10.0|1.10.1|...|1.9.1] would require
  │  │  │     │  └─ python_abi 3.7.* *_cp37m, which can be installed;
  │  │  │     ├─ pytorch [1.6.0|1.7.1|1.8.0|1.9.0|1.9.1] would require
  │  │  │     │  └─ python_abi 3.6.* *_cp36m, which can be installed;
  │  │  │     ├─ pytorch [0.2.0|0.3.0] would require
  │  │  │     │  └─ cudatoolkit 7.5* , which does not exist (perhaps a missing channel);
  │  │  │     ├─ pytorch [0.2.0|0.3.0|0.3.1] would require
  │  │  │     │  └─ cudatoolkit 8.0* , which does not exist (perhaps a missing channel);
  │  │  │     ├─ pytorch [1.0.1|1.1.0|...|1.4.0] conflicts with any installable versions previously reported;
  │  │  │     └─ pytorch 1.0.1 would require
  │  │  │        └─ cudatoolkit >=8.0,<8.1.0a0 , which does not exist (perhaps a missing channel);
  │  │  ├─ dgl [2.0.0|2.1.0] would require
  │  │  │  └─ pytorch >=2.3.0,<2.4.0a0  with the potential options
  │  │  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which can be installed (as previously explained);
  │  │  │     ├─ pytorch [1.13.0|1.13.1|...|2.3.1] would require
  │  │  │     │  └─ python_abi 3.11.* *_cp311, which can be installed;
  │  │  │     ├─ pytorch 2.3.0, which can be installed;
  │  │  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │  │  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │  │  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which cannot be installed (as previously explained);
  │  │  │     ├─ pytorch 2.3.1, which can be installed;
  │  │  │     └─ pytorch [2.0.1|2.3.0], which cannot be installed (as previously explained);
  │  │  └─ dgl 2.1.0 would require
  │  │     └─ pytorch >=2.3.1,<2.4.0a0  with the potential options
  │  │        ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which can be installed (as previously explained);
  │  │        ├─ pytorch [1.13.0|1.13.1|...|2.3.1], which can be installed (as previously explained);
  │  │        ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │  │        ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │  │        ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which cannot be installed (as previously explained);
  │  │        └─ pytorch 2.3.1, which can be installed;
  │  └─ pytorch <=2.2.1  with the potential options
  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which can be installed (as previously explained);
  │     ├─ pytorch [1.13.0|1.13.1|...|2.3.1], which can be installed (as previously explained);
  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │     ├─ pytorch [1.10.0|1.10.1|...|2.3.1], which can be installed (as previously explained);
  │     ├─ pytorch [1.11.0|1.12.0|...|2.3.1], which cannot be installed (as previously explained);
  │     ├─ pytorch [2.0.1|2.3.0], which cannot be installed (as previously explained);
  │     ├─ pytorch [0.4.0|0.4.1|...|2.2.0] conflicts with any installable versions previously reported;
  │     ├─ pytorch [1.10.0|1.10.1|...|1.9.1], which can be installed (as previously explained);
  │     ├─ pytorch [1.6.0|1.7.1|1.8.0|1.9.0|1.9.1], which can be installed (as previously explained);
  │     ├─ pytorch [0.2.0|0.3.0], which cannot be installed (as previously explained);
  │     ├─ pytorch [0.2.0|0.3.0|0.3.1], which cannot be installed (as previously explained);
  │     ├─ pytorch [0.3.1|0.4.0] would require
  │     │  └─ cudatoolkit 8.0.* , which does not exist (perhaps a missing channel);
  │     ├─ pytorch [1.0.1|1.1.0|...|1.4.0] conflicts with any installable versions previously reported;
  │     └─ pytorch 1.0.1, which cannot be installed (as previously explained);
  ├─ python 3.12**  is not installable because there are no viable options
  │  ├─ python [3.12.0|3.12.1|3.12.2|3.12.3|3.12.4] would require
  │  │  └─ python_abi 3.12.* *_cp312, which conflicts with any installable versions previously reported;
  │  ├─ python 3.12.0rc3 would require
  │  │  └─ _python_rc, which does not exist (perhaps a missing channel);
  │  └─ python [3.12.0|3.12.1|3.12.2|3.12.3|3.12.4] conflicts with any installable versions previously reported;
  └─ scipy 1.14.0**  is installable with the potential options
     ├─ scipy 1.14.0 would require
     │  └─ python_abi 3.10.* *_cp310, which can be installed;
     ├─ scipy 1.14.0 would require
     │  └─ python_abi 3.11.* *_cp311, which can be installed;
     └─ scipy 1.14.0 would require
        └─ python_abi 3.12.* *_cp312, which conflicts with any installable versions previously reported.