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QOA Benchmark Results and File Format Specification
The specification for the Quite OK Audio Format,
announced in a previous blog post,
is now finalized. QOA is a lossy audio compression format. Typical audio
signals (44100hz, stereo) are encoded into 278 kbits/s, or more precisely 3.2
bits per sample – exactly 1/5 of the bits needed for an uncompressed WAV.

Image

The QOA-Specification [fits on a single … ⌘ Read more

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PEP 709: Inlined comprehensions
Comprehensions are currently compiled as nested functions, which provides isolation of the comprehension’s iteration variable, but is inefficient at runtime. This PEP proposes to inline list, dictionary, and set comprehensions into the function where they are defined, and provide the expected isolation by pushing/popping clashing locals on the stack. This change makes comprehensions much faster: up to 2x faster for a microbenchmark of a comprehension alone, translating to an 11% speedup for one sample … ⌘ Read more

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Time Domain Audio Compression at 3.2 bits per Sample
Audio formats typically fall into one of three categories: “lossless”,
“complicated” or “bad”. After developing a
simple image format
last year, I tried to come up with an audio format that fits neither of these
categories.

In other words: a format that is lossy, simple and quite ok.
Naturally, it’s called QOA — the Quite OK Audio Format.

![Comparison of Audio Codecs](/content/assets/qoa-comparison-char … ⌘ Read more

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Tigase Blog: Tigase XMPP Libraries

Our software philosophy

Actually nothing new and nothing surprising here. We want to have as much of a reusable code as possible. And this
reusable code should have a simple but powerful API to be useful for quickly creating software.

That’s it.

And this is how we design and develop our XMPP libraries. Check them out.

Documentation to all our projects is available online and sample codes? Take a look at our XMPP Chat apps which are
open source too. ⌘ Read more

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@adi@twtxt.net “I usually seen the opposite. Women are more interested in longevity and happy that studies show that they live more than men.” -> I probably could have been clearer: It seems to me that women are on average much less interested in life-extension (methods beyond usual health advice such as the old “exercise, eat vegetables”) than men. This might just be founder/sampling bias (life extension comes out of the relatively male dominated libertarian/techno-optimist cluster). Actually, maybe there’s just a variance thing here: median man cares less about his longevity than the median woman, but the variance for men is higher.

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Just copied over more samples today from my sample collection from one drive to another. Things are in more than one place for the first time in a long time, maybe ever in some cases? Feels nice.

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I’ve recently been reading up on zettelkastens again, since it is very closely related to the ethos of a personal wiki system like !weewiki. The thing that interests me is the emergent patterns that come from linking things to things. Which is exactly the sort of solution I’m looking for !sample_curation. #halfbakedideas

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saw this great writeup once on how somebody visualized data by drawing faces with them, and letting our brain’s natural face feature-extraction algorithms interpret the data. Kinda want to try to do that with some of these samples and waveforms I’m curating. #halfbakedideas

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