Daniel McCloy

> Oh okay with me then! unfortunately my suggestion in https://github.com/mne-tools/mne-python/pull/12450#issuecomment-1967238036 was not met with enthusiasm. But maybe now the case is stronger / more pursuasive? WDYT @cbrnr @sappelhoff?

> You're really avoiding the issue of FIFF being a proprietary format. Is this not an issue for everyone here? Is it in fact proprietary? That's not the same as...

Since you linked to #5302 you probably saw this already, but in case not: [here is the FIFF file format spec](https://www.dropbox.com/s/q58whpso2jt9tx0/Fiff.pdf?dl=1)

I noticed last week that the mirror had been archived, when investigating the CI failures in #1849 and #1850 but I didn't connect the dots. (Meanwhile to unblock CIs we...

> It might be worth looking again at a bunch of pre-commit hooks we can use to cover the prettier cases and only consider husky ones as a last resource...

> what about the pre-commit language specific hooks: https://github.com/macisamuele/language-formatters-pre-commit-hooks ? Of the languages it supports I think the only one we use is toml. Here's a couple more: - markdown:...

I think this was solved by #2049 (which replaced the archived prettier pre-commit with a fork managed by `pycontribs`).

I think `docs/examples` is a fine place for content like this (many users won't use nbsphinx, but for those who do, they should be able to easily see and assess...

A couple possible approaches come to mind: 1. compute blink events, interpolate, epoch, determine which epochs to drop based on how many blink events occur within the epoch 2. we...

Here's some code to get you started with option 1: ```py import mne import numpy as np raw_fpath = mne.datasets.sample.data_path() / "MEG" / "sample" / "sample_audvis_raw.fif" raw = mne.io.read_raw_fif(raw_fpath, preload=False)...