redux-templates VS Dn-FamiTracker

Yeah, _please_ don't use `typesafe-actions` :)

It may have had some value before RTK came out, but a lot of the opinions and approaches shown in its docs lead you to write _wayyyy_ too much code. For example, we specifically recommend _against_ writing TS unions for action object types [0].

RTK completely obsoletes `typesafe-actions`, and the TS usage patterns that we teach today should result in a pretty minimal set of types that you need to write in your own code.

For a small example see the RTK+TS template for Create-React-App [1]. If you want to see what a real app codebase can look like, the client app for my day job at Replay.io is OSS [2]. It's admittedly a somewhat messy codebase due to its long evolution and legacy (started as the FF DevTools codebase, copy-pasted, and we've been slowly migrating to RTK+TS and modernizing it), but files like [3] show how I would write a real slice reducer with RTK+TS.

[0] https://redux.js.org/usage/usage-with-typescript#avoid-actio...

[1] https://github.com/reduxjs/cra-template-redux-typescript

[2] https://github.com/replayio/devtools

[3] https://github.com/replayio/devtools/blob/454804188d33900a26...

The recommended way to initialize a new app with React and Redux is by using the official Redux+JS template or Redux+TS template.

I learned the basics of react initially, and then when I started using typescript + react, I did so using the create-react-app typescript redux template. I found that having a template to build from was extremely helpful. I'm sure there are other good templates out there if you didn't want to worry about redux (I think it's good, but it's got it's own mental overhead), but being able to refer to the template implementation was extremely helpful, since the typings of some react things can be highly weird.

Please see the official Redux+TS template for CRA, which shows the correct "modern Redux" patterns in action, as well as the "Modern Redux with RTK" tutorial page and our recommended TS usage patterns.

btw, note that we have an official Redux+TS template for CRA that comes with RTK and React-Redux already configured.

Now the first two questions have been answered. Moving on to the next one, state management. I decided to use redux. Came across this amazing toolkit and this beautiful and friendly template template from the official reduxjs repository.

I've been using FamiTracker since 2017 and it no longer opens on my (Windows) computer. It just creates a dump file. After figuring out JSR was gone, I tried downloading Dn-FamiTracker 0.5.0.1, but the x64 and x86 versions just open an invisible window.

The original version of FamiTracker is no longer maintained and the website recently went offline, but most people are using the fork Dn-Famitracker these days - you can get it here. It's free software, so there are no restrictions on releasing music made with it commercially.

Dn-Famitracker is the most relevant since it's the only one still in active development and has all the features from previous builds and then some. It's considered the definitive edition of Famitracker: https://github.com/Dn-Programming-Core-Management/Dn-FamiTracker/releases

Most modern FTers are using a fork anyway, the current favourite is Dn-FamiTracker. All FamiTracker tutorials & resources should still work fine for you since the only differences are additions and updates for driver compatibility and such.

Go for Dn-Famitracker instead, it's a fork of the original famitracker with a few more features. Here's the github, if you're interested. https://github.com/Dn-Programming-Core-Management/Dn-FamiTracker

blip_buffer and blip_buf are fairly decent tools for generating an output-rate signal from a high-rate signal (though I use my fork of blip_buffer at https://gitlab.com/exotracker/blip-buffer-exo and/or https://github.com/Dn-Programming-Core-Management/Dn-FamiTra...). When emulating sound chips, the blip buffer adds and subtracts bandlimited sinc impulses from an output-rate delta array, and when exporting resampled audio, it performs a running sum (transforming the impulses into steps) of the delta array and high-passes the running value when writing to the output audio array. The advantage is that you can pick very high sampling rates (like 1.79 MHz) but only burn CPU cycles each time the output level changes (unlike conventional resamplers which are O(input rate + output rate)). Unfortunately blip_buffer has a relatively low SNR of ~50 dB of aliasing rejection even at its widest impulse kernel (as measured by https://gitlab.com/exotracker/exotracker-cpp/-/tree/rewrite-..., though possibly blip_buf is better), and only performs an approximate highpass using integer bitshifts. A usage example is at https://github.com/Dn-Programming-Core-Management/Dn-FamiTra....

Alternatively you can generate a high-rate signal and feed it into a conventional resampler to produce a 44.1/48/96 KHz output. I found that libsamplerate (https://libsndfile.github.io/libsamplerate/)'s medium preset produces audibly transparent output at 44.1 KHz and above, and should have acceptable latency on the order of 1ms (I didn't verify but you could first flush out the startup edge effect with silence, pop all output, then push an impulse followed with silence until the central peak emerges from the output). This has minimal CPU usage for a single stereo 128 KHz input stream (like in exotracker and chipsynth SFC), but I don't know if it burns excessive CPU with 1.79 MHz input.

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My baseline expectation for production-quality emulators is to generate sound without aliasing, but the gold standard is to properly emulate the audio path as found on hardware, by feeding schematics through SPICE and/or pole-zero math to create an analytical representation of the filters, then verifying them against MDFourier tests (hardware recordings of broad-spectrum sound played by the console). Few emulators attempt to do this; according to https://bel.fi/alankila/modguide/interpolate.txt, UADE (an Amiga emulator) gets this right using a variation of the Blip_Buffer approach with longer precomputed(?) impulse responses specialized for Amiga filtering. Several chiptune tools properly model hardware filters, including the chipsynth family of audio VSTs (commercial); Dn-FamiTracker (an open-source NES composer) emulates FDS lowpass properly without aliasing, but only loosely approximates 2A03 lowpass and global highpass using blip_buffer's configurable filtering (impulse/step visualizer at https://gitlab.com/exotracker/exotracker-cpp/-/blob/rewrite-...).

If you choose to model a hardware filter using IIR filters (mathematical arithmetic based off a hardware model) instead of a large precomputed impulse response (like interpolate.txt and UADE), you'll get more accurate results if you generate audio at a high internal sampling rate, IIR-filter the audio at this high rate (ensuring the filter cutoff is well below Nyquist or half the sampling rate), then feed it into a resampler. If you use Blip_Buffer to generate 44.1 or 48 KHz directly like blip_buffer, and apply a filter with cutoff above 10 KHz or so, high frequencies will not be filtered accurately.

One interesting idea (combining blip_buffer's efficiency at handling sparse signals, and the accurate treble filtering enabled by a high intermediate filtering frequency) is running a blip_buffer-like system (with no highpass but a ~20 KHz lowpass) to downsample from a high internal rate to a fixed 128 KHz (for fixed filtering) or twice the audio rate (for efficient rational-factor downsampling), then performing hardware filtering there before downsampling using a resampler. The downside is that this stacks the latency and artifacts of both Blip_Buffer and the resampler, but if you make Blip_Buffer generate mostly-lowpassed audio and avoid generating nonlinear harmonics in filtering, you can use a faster second resampler that assumes its input is mostly lowpassed (using a narrower sinc kernel).

Correct Link: https://github.com/Dn-Programming-Core-Management/Dn-FamiTracker/releases/tag/Dn0.4.0.1

Thank you! I'd recommend downloading Dn-Famitracker, it's the latest fork of the program that's been made, and features a few quality of life improvements from it's predecessors.