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Posted by antoine â˘
Hello @hasarinduperera!
I'm Antoine, a software engineer at Aqora. I understand you're looking to use GitHub Codespaces, and I'd be happy to help. Which competitions are you interested in participating in?
I went through the tutorial this morning and successfully configured a virtual environmentâspecifically the one created by
aqora template h2-groundstate-energy. Here's a step-by-step guide that worked for me:- Wait for your Codespace to fully initialize (you'll see a prompt to press
Enter) - Install aqora using
pipx install aqora-cli - Choose one of these options:
- For a new submission, run:
aqora template [competition] .
(replace[competition]with your chosen competition) - For an existing submission, run:
aqora install
in your submission's root directory
- For a new submission, run:
- Open the notebook (in my case, it was
submission/start_here.ipynb) - Click "Select Kernel" in the top-right corner
- Install/enable the recommended Python and Jupyter extensions
- From the dropdown menu, select "Python Environments..."
- Choose "Create Python Environment"
- Select "Venv Creates a .venv virtual environment in the current workspace"
- Finally, select "Use existing '.venv' environment with no changes to it"
You should now be able to run your notebook normally. If you need any additional assistance or have questions, please don't hesitate to reach out to us at Aqora.
Best regards,
Antoine
Antoine
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Posted by antoine â˘
We are currently busy improving the Aqora extension for Visual Studio Code. We will let you know when we release a new version. In the mean time, I recommend you run
aqora test from a terminal. Thank you for your feedback! đ2
Posted by antoine â˘
Hello Matthew!
I am pleased to meet you! I am Antoine, one of Aqora's software engineers đ
May you describe your workflow please? I am able to run the example notebook on my machine by executing these commands in a terminal:
$ aqora template quantum-signals-lob
...
đ Competition template downloaded to quantum-signals-lob
$ cd quantum-signals-lob
$ aqora test
...
[4362 OK] Success
Score: -3.1153113056450024You may also run the notebook directly from the Visual Studio Code Aqora extension.
Please let us know how it goes and we will be happy to assist in any way we can.
Best,
Antoine
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Posted by antoine â˘
Hello @oleksii_adamov, we deployed this morning a corrective patch. You should now be able to run
aqora upload without issue. Please let me know if you are still encountering problems! Have a great day!2
Posted by antoine â˘
Hello @darkmatter ! We deployed a patch aiming to resolve the bug you were having. Would it be possible for you to try again and tell us how it goes ?
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Posted by antoine â˘
Hello @darkmatter ! Could you please send on this topic the output when you run the command
aqora info ?2
Posted by antoine â˘
Hello Peter ! The BETH dataset has been primarily architected for unsupervised machine learning so the
"evil" column in training is effectively always false.