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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!
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Posted by antoine •
Yes exactly 😉 I also highly recommend you subscribe to our newsletter in order to follow our latest development on the platform!
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Posted by antoine •
We do not currently support running submission notebooks directly from Visual Studio Code. Please run your submission using
aqora test for now. We are currently working on integrating aqora test with python notebook runners, but for now you will have to use aqora test.ValueError: Found input variables with inconsistent numbers of samples: [1, 32]
This error is thrown by
sklearn as part of their function check_consistent_length. Have you tried to return different output in your notebook?2
Posted by antoine •
Hello @hasarinduperera
Hi there, I am getting below error when running the notebook.
Are you running the notebook with
aqora test as expected? Or do you run it using Visual Studio Code?Anyways I tried to change that part and runaqora testbut got another error.
Can you quote the full error trace in the topic please?
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Posted by antoine •
Hello @yev !
You can drop these lines into your
pyproject.toml in order to include all txt files for example:[tool.setuptools.package-data]
# this is a list of glob patterns that will include matching files into your submission
submission = ["*.txt"]You can find here some more documentation on how this feature work.
Let me know if you need further assistance :-)
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Posted by antoine •
Hello @quantotto! We deployed a fix during lunch which should resolve the issue. Can you confirm it is working for you now?
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Posted by antoine •
Hello @quantotto !
We are currently investigating the problem, I'll get back to you ASAP when it's fixed :-)