Wed, 06 Nov 2024 10:15:38 -0500
Add function scaling by a scalar
/*! Optimisation on non-Riemannian manifolds. */ // We use unicode. We would like to use much more of it than Rust allows. // Live with it. Embrace it. #![allow(uncommon_codepoints)] #![allow(mixed_script_confusables)] #![allow(confusable_idents)] use serde::Serialize; use alg_tools::logger::Logger; use alg_tools::tabledump::{TableDump, write_csv}; use alg_tools::error::DynError; use alg_tools::lingrid::LinSpace; use alg_tools::loc::Loc; use alg_tools::types::*; use alg_tools::mapping::{Sum, Apply}; use alg_tools::iterate::{AlgIteratorOptions, AlgIteratorFactory, Verbose}; use image::{ImageFormat, ImageBuffer, Rgb}; use dist::DistToSquaredDiv2; use fb::{forward_backward, IterInfo}; use manifold::EmbeddedManifoldPoint; use cube::*; use Face::*; use zero::ZeroFn; mod manifold; mod fb; mod cube; mod dist; mod zero; mod scaled; /// Program entry point fn main() { simple_cube_test().unwrap() } /// Helper structure for saving the log into a CSV file #[derive(Serialize)] struct CSVLog { iter : usize, value : f64, face : Face, x : f64, y : f64, z : f64 } /// Location for saving results static PREFIX : &str = "res"; /// A simple test on the cube fn simple_cube_test() -> DynError { let points = [ //OnCube::new(F1, Loc([0.5, 0.5])), //OnCube::new(F2, Loc([0.5, 0.5])), //OnCube::new(F4, Loc([0.1, 0.1])), OnCube::new(F1, Loc([0.5, 0.5])), OnCube::new(F3, Loc([0.5, 0.5])), OnCube::new(F2, Loc([0.5, 0.5])), ]; //let x = points[0].clone(); // OnCube::new(F3, Loc([0.5, 0.5])); goes to opposite side let x = OnCube::new(F3, Loc([0.5, 0.4])); let f = Sum::new(points.into_iter().map(DistToSquaredDiv2)); let g = ZeroFn::new(); let τ = 0.1; let mut logger = Logger::new(); let logmap = |iter, IterInfo { value, point } : IterInfo<OnCube>| { let Loc([x,y,z]) = point.embedded_coords(); let face = point.face(); CSVLog { iter, value, face, x, y, z } }; let iter = AlgIteratorOptions{ max_iter : 100, verbose_iter : Verbose::Every(1), .. Default::default() }.mapped(logmap) .into_log(&mut logger); let x̂ = forward_backward(&f, &g, x, τ, iter); println!("result = {}\n{:?}", x̂.embedded_coords(), &x̂); std::fs::create_dir_all(PREFIX)?; logger.write_csv(format!("{PREFIX}/log.txt"))?; for face in Face::all() { write_face_csv(format!("{PREFIX}/{face}"), face, 64, |x| f.apply(x) + g.apply(x))?; write_face_img(format!("{PREFIX}/{face}"), face, 128, |x| f.apply(x) + g.apply(x))?; } Ok(()) } /// Writes the values of `f` on `face` of a [`OnCube`] into a PNG file /// with resolution `n × n`. fn write_face_img(filename : String, face : Face, n : usize, mut f : impl FnMut(&OnCube) -> f64) -> DynError { let mut img = ImageBuffer::new(n as u32, n as u32); let grid = LinSpace { start : Loc([0.0, 0.0]), end : Loc([1.0, 1.0]), count : [n, n] }; let rawdata : Vec<_> = grid.into_iter() .map(|x| f(&OnCube::new(face, x))) .collect(); let a = rawdata.iter().copied().reduce(f64::max).unwrap(); img.pixels_mut() .zip(rawdata) .for_each(|(p, v)| { let t = v/a; let rgb = [1.0-t, 1.0-t, 1.0]; *p = Rgb(rgb.map(|v| (v*(u8::RANGE_MAX as f64)) as u8)) }); img.save_with_format(format!("{filename}.png"), ImageFormat::Png)?; Ok(()) } /// Writes the values of `f` on `face` of a [`OnCube`] into a CSV file /// with resolution `n × n`. fn write_face_csv(filename : String, face : Face, n : usize, mut f : impl FnMut(&OnCube) -> f64) -> DynError { #[derive(Serialize)] struct CSVFace { u : f64, v : f64, value : f64 } let grid = LinSpace { start : Loc([0.0, 0.0]), end : Loc([1.0, 1.0]), count : [n, n] }; let data = grid.into_iter() .map(|p@Loc([u,v])| CSVFace{ u, v, value : f(&OnCube::new(face, p)) }); write_csv(data, format!("{filename}.csv"))?; Ok(()) }