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Posted by antoine •
$HOME/.local/state/aqora/aqora.log*if you are on Linux,$HOME/Library/Caches/aqora/aqora.log*if you are on macOS,%USERPROFILE%\AppData\Local\aqora\aqora.log*if you are on Windows.
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Posted by antoine •
Hello @riya !
You can submit on behalf of the team using your personal account or by creating an organisation and adding members to it here:
When you run
aqora template in a terminal, you should be prompted to choose an account to submit a submission on.You can also attach a submission to an organisation you are part of by adding a configuration inside
pyproject.toml. Just add a key entity = "username_here" under the [tool.aqora] group!Don’t hesitate to let me know if I can be of further help,
Enjoy 👋
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Posted by antoine •
Hello @jeromepetit!
how do you train the model with the data ?
I must say that it really depends on the ML library you are likely to use. Which one are you using?
i am not sure where to put the dataset_type = "train"
dataset = FIDataset(dataset_type,".aqora/data/data")
You should use the
dataset variable here as the input for your ML implementation.I also recommend that your read this thread if you are having some troubles with
FIDataset.Let me know if you need further assistance!
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Posted by antoine •
Hello Priyanshi!
The competition will continue remotely from January, 24th (8:30AM CET) to March, 28th (12:00PM CET), allowing participants from across the globe to collaborate and innovate.
Everyone is welcome to participate!
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Posted by antoine •
Hello Aarshita!
I updated the use-case to relax dependency requirements. I downgraded
torch @ 2.2.2 and numpy @ 1.26.4, which should enable you to run your submission on a macOS Intel machine. To update, you will have to:- Downgrade your dependency requirements too in your file
pyproject.toml, - Run
aqora clean, - Run
aqora install.
Please let me know how it goes for you, I'll be happy to further help you sort things out!
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Posted by antoine •
Hello @hasarinduperera!
Thank you for helping us spot this bug! Here is how you can load the FI dataset:
dataset = FIDataset(dataset_type, ".aqora/data/data")We will update soon the use-case sources so it can be more easily used in the future!
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Posted by antoine •
Hello @peterys!
It seems that
torch v2.4.1 supports Python 3.8-3.12 on Windows (amd64 only), Linux (both amd64 and arm64), and macOS (arm64 only).You can find your Python version and platform using these commands:
$ python3 -V
Python 3.12.8
$ python3 -m platform
macOS-15.2-arm64-arm-64bitI can attest this install works well with the quantum-signals-lob use-case.
You may have a too recent Python installed, fortunately you can easily install whichever Python of your choosing using
uv python install X.Y.X.Please let me know if you need further help!