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Hi there @jamienoss 👋 - thanks for the pull request! I'm just a friendly 🤖 that checks for issues related to the changelog and making sure that this pull request is milestoned and labeled correctly. This is mainly intended for the maintainers, so if you are not a maintainer you can ignore this, and a maintainer will let you know if any action is required on your part 😃. I see this is a work in progress pull request. I'll report back on the checks once the PR is ready for review. If there are any issues with this message, please report them here. |
…ate' Signed-off-by: James Noss <[email protected]>
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Some FFT tests will fail. I'm investigating a possible issue with the normalization. |
Signed-off-by: James Noss <[email protected]>
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Hi humans 👋 - this pull request hasn't had any new commits for approximately 7 months. I plan to close this in a month if the pull request doesn't have any new commits by then. In lieu of a stalled pull request, please consider closing this and open an issue instead if a reminder is needed to revisit in the future. Maintainers may also choose to add If this PR still needs to be reviewed, as an author, you can rebase it to reset the clock. If you believe I commented on this pull request incorrectly, please report this here. |
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I'm going to close this pull request as per my previous message. If you think what is being added/fixed here is still important, please remember to open an issue to keep track of it. Thanks! If this is the first time I am commenting on this issue, or if you believe I closed this issue incorrectly, please report this here. |
I know we're way past the feature freeze for 3.1 but here's a one-liner for a major perf boost to convolution.convolve_fft().
Signed-off-by: James Noss [email protected]