I've recently been amazed, if not mind-blown, by how a very simple, "one-line" SAT solver on Interaction Nets can outperform brute-force by orders of magnitude by exploiting "superposed booleans" and optimal evaluation of λ-expressions. In this brief note, I'll provide some background for you to understand how this works, and then I'll present a simple code you can run in your own computer to observe and replicate this effect. Note this is a new observation, so I know little about how this algorithm behaves asymptotically, but I find it quite
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| #!/bin/bash | |
| # Get the architecture of the machine | |
| arch=$(uname -m) | |
| os=$(uname -s) | |
| # Download the Zellij binary | |
| if [ "$os" == "Darwin" ]; then | |
| filename="zellij-${arch}-apple-darwin.tar.gz" | |
| url="https://github.com/zellij-org/zellij/releases/latest/download/$filename" |
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| [package] | |
| name = "spinhost" | |
| version = "0.1.0" | |
| edition = "2021" | |
| [dependencies] | |
| # Spin runtime | |
| spin-app = { git = "https://github.com/fermyon/spin", tag = "v1.3.0" } | |
| spin-core = { git = "https://github.com/fermyon/spin", tag = "v1.3.0" } | |
| spin-oci = { git = "https://github.com/fermyon/spin", tag = "v1.3.0" } |
In this article, I'll explain why implementing numbers with just algebraic datatypes is desirable. I'll then talk about common implementations of FFT (Fast Fourier Transform) and why they hide inherent inefficiencies. I'll then show how to implement integers and complex numbers with just algebraic datatypes, in a way that is extremely simple and elegant. I'll conclude by deriving a pure functional implementation of complex FFT with just datatypes, no floats.
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| (Rot (V z)) = (V (- 0.0 z)) | |
| (Rot (G x y)) = (G (Rot y) x) | |
| (Add (V z) (V w)) = (V (+ z w)) | |
| (Add (G x y) (G w z)) = (G (Add x w) (Add y z)) | |
| (Get (V x) f) = (f x) | |
| (Get (G x y) f) = (f x y) | |
| Nil = λm λx (m x) |
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| Flip (n: Nat) : Nat | |
| Flip Nat.zero = 1n | |
| Flip (Nat.succ Nat.zero) = 0n | |
| Mod2 (n: Nat) : Nat | |
| Mod2 Nat.zero = Nat.zero | |
| Mod2 (Nat.succ n) = Flip (Mod2 n) | |
| IsEven (n: Nat) : Type | |
| IsEven Nat.zero = Unit |
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| name: Security audit | |
| on: | |
| schedule: | |
| - cron: '0 0 * * *' | |
| push: | |
| paths: | |
| - '**/Cargo.toml' | |
| - '**/Cargo.lock' | |
| jobs: | |
| security_audit: |
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| // Delete Backward. | |
| // Put this into your user packages folder. Can be found by navigating to Preferences > Browse Packages... in Sublime Text. | |
| // Then add something like this to your user Key Bindings. | |
| // { "keys": ["alt+backspace"], "command": "run_macro_file", "args": {"file": "res://Packages/User/Delete Subword Backward.sublime-macro"} } | |
| [ | |
| { | |
| "args": | |
| { | |
| "by": "subwords", | |
| "extend": true, |