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Zeitpunkt              Nutzer    Delta   Tröts        TNR     Titel                     Version  maxTL
So 28.07.2024 00:00:25    51.971     +44    2.231.579    42,9 Vivaldi Social            4.2.10   1.337
Sa 27.07.2024 00:00:08    51.927     +47    2.228.252    42,9 Vivaldi Social            4.2.10   1.337
Fr 26.07.2024 00:00:02    51.880     +46    2.224.342    42,9 Vivaldi Social            4.2.10   1.337
Do 25.07.2024 00:00:05    51.834     +49    2.220.915    42,8 Vivaldi Social            4.2.10   1.337
Mi 24.07.2024 00:03:03    51.785     +43    2.217.217    42,8 Vivaldi Social            4.2.10   1.337
Di 23.07.2024 00:00:29    51.742     +49    2.213.035    42,8 Vivaldi Social            4.2.10   1.337
Mo 22.07.2024 00:00:32    51.693     +27    2.209.656    42,7 Vivaldi Social            4.2.10   1.337
So 21.07.2024 00:01:00    51.666     +39    2.206.038    42,7 Vivaldi Social            4.2.10   1.337
Sa 20.07.2024 00:00:00    51.627     +15    2.202.571    42,7 Vivaldi Social            4.2.10   1.337
Fr 19.07.2024 13:57:34    51.612       0    2.201.079    42,6 Vivaldi Social            4.2.10   1.337

So 28.07.2024 13:30

This comment just confirms how oblivious to reality are Python devs in general.
The context? yt-dlp, when asked to download video and then merge audio and video tracks along with any extra metadata into single file, does this in 3 steps (when converting container format extra step is needed).

The reality? If you have 1,5GB of video and 100MB of audio, you have >3GB of consumed write endurance out of the box because yt-dlp can't merge audio + video on-fly (while downloading). But that actually might be difficult, so let's leave it as is. Another 1,6GB is used for merging metadata. If you need to use different container, another 1,6GB. Things are getting even worse with Youtube which often uses HLS fragments, so each fragment is downloaded and stored separately and then merged back into video file. So to download 1,6GB video with audio, metadata and use different container, you'll consume around 8 gigabytes of write endurance of your SSD, or you'll wait ages for spinning rust to chew through that.

But that's "low priority edge case" for yt-dlp devs.

I dare to say that Python is modern incarnation of 80's era BASIC.

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