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delay scaling of ffts until after the transforms.

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
28/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
backend

Research direction

Start with the linked gist and reproduce the FFT case where upfront scaling produces results orders of magnitude off. Trace the Python FFT entry point and its transform/scaling path; done means scaling is applied after the transforms and the reproduced results match the expected values.

Written by the indexing model from the issue text.

Description

As seen here, the results can be order of magnitudes off if the scaling happens upfront.
https://gist.github.com/pavanky/dc64fc83e0fa298e942a3e0ca07ccd15

Dominant language
Python
Stars
422
Forks
63
No merged PRs in 30d

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