48 T1 : RealMapping<F, N>, |
30 T1 : RealMapping<F, N>, |
49 > ( |
31 > ( |
50 g : &T1, |
32 g : &T1, |
51 grid : LinGrid<F, N>, |
33 grid : LinGrid<F, N>, |
52 filename : String, |
34 filename : String, |
53 explanation : String |
|
54 ); |
35 ); |
55 } |
36 } |
56 |
37 |
57 /// Helper type for looking up a [`Plotting`] based on dimension. |
38 /// Helper type for looking up a [`Plotting`] based on dimension. |
58 pub struct PlotLookup; |
39 pub struct PlotLookup; |
59 |
40 |
|
41 #[derive(Serialize)] |
|
42 struct CSVHelper1<F : Float> { |
|
43 x : F, |
|
44 f : F, |
|
45 } |
|
46 |
|
47 #[derive(Serialize)] |
|
48 struct CSVHelper1_2<F : Float>{ |
|
49 x : F, |
|
50 g : Option<F>, |
|
51 omega : Option<F> |
|
52 } |
|
53 |
|
54 #[derive(Serialize)] |
|
55 struct CSVSpike1<F : Float> { |
|
56 x : F, |
|
57 alpha : F, |
|
58 } |
|
59 |
60 impl Plotting<1> for PlotLookup { |
60 impl Plotting<1> for PlotLookup { |
61 fn plot_into_file_spikes< |
61 fn plot_into_file_spikes< |
62 F : Float, |
62 F : Float, |
63 T1 : RealMapping<F, 1>, |
63 T1 : RealMapping<F, 1>, |
64 T2 : RealMapping<F, 1> |
64 T2 : RealMapping<F, 1> |
65 > ( |
65 > ( |
66 g_explanation : String, |
66 g0 : Option<&T1>, |
67 g : &T1, |
|
68 ω_explanation : String, |
|
69 ω0 : Option<&T2>, |
67 ω0 : Option<&T2>, |
70 grid : LinGrid<F, 1>, |
68 grid : LinGrid<F, 1>, |
71 bnd0 : Option<Bounds<F>>, |
|
72 μ : &DiscreteMeasure<Loc<F, 1>, F>, |
69 μ : &DiscreteMeasure<Loc<F, 1>, F>, |
73 filename : String, |
70 filename : String, |
74 ) { |
71 ) { |
75 let start = grid.start[0].as_(); |
72 let data = grid.into_iter().map(|p@Loc([x]) : Loc<F, 1>| CSVHelper1_2 { |
76 let end = grid.end[0].as_(); |
73 x, |
77 let m = μ.iter_masses().fold(F::ZERO, |m, α| m.max(α)); |
74 g : g0.map(|g| g.apply(&p)), |
78 let s = μ.iter_masses().fold(F::ZERO, |m, α| m.add(α)); |
75 omega : ω0.map(|ω| ω.apply(&p)) |
79 let mut spike_scale = F::ONE; |
76 }); |
80 |
77 let csv_f = format!("{}_functions.csv", filename); |
81 let mut plotter = poloto::plot( |
78 write_csv(data, csv_f).expect("CSV save error"); |
82 "f", "x", |
79 |
83 format!("f(x); spike max={:.4}, n={}, ∑={:.4}", m, μ.len(), s) |
80 let spikes = μ.iter_spikes().map(|δ| { |
84 ).move_into(); |
81 let Loc([x]) = δ.x; |
85 |
82 CSVSpike1 { x, alpha : δ.α } |
86 if let Some(ω) = ω0 { |
83 }); |
87 let graph_ω = grid.into_iter().map(|x@Loc([x0]) : Loc<F, 1>| { |
84 let csv_f = format!("{}_spikes.csv", filename); |
88 [x0.as_(), ω.apply(&x).as_()] |
85 write_csv(spikes, csv_f).expect("CSV save error"); |
89 }); |
|
90 plotter.line(ω_explanation.as_str(), graph_ω.clone()); |
|
91 // let csv_f = format!("{}.txt", filename); |
|
92 // write_csv(graph_ω, csv_f).expect("CSV save error"); |
|
93 } |
|
94 |
|
95 let graph_g = grid.into_iter().map(|x@Loc([x0]) : Loc<F, 1>| { |
|
96 [x0.as_(), g.apply(&x).as_()] |
|
97 }); |
|
98 plotter.line(g_explanation.as_str(), graph_g.clone()); |
|
99 // let csv_f = format!("{}.txt", filename); |
|
100 // write_csv(graph_g, csv_f).expect("CSV save error"); |
|
101 |
|
102 bnd0.map(|bnd| { |
|
103 let upperb = bnd.upper().as_(); |
|
104 let lowerb = bnd.lower().as_(); |
|
105 let upper : [[f64; 2]; 2] = [[start, upperb], [end, upperb]]; |
|
106 let lower = [[start, lowerb], [end, lowerb]]; |
|
107 spike_scale *= bnd.upper(); |
|
108 |
|
109 plotter.line("upper bound", upper) |
|
110 .line("lower bound", lower) |
|
111 .ymarker(lowerb) |
|
112 .ymarker(upperb); |
|
113 }); |
|
114 |
|
115 for &DeltaMeasure{ α, x : Loc([x]) } in μ.iter_spikes() { |
|
116 let spike = [[x.as_(), 0.0], [x.as_(), (α/m * spike_scale).as_()]]; |
|
117 plotter.line("", spike); |
|
118 } |
|
119 |
|
120 let svg = format!("{}", poloto::disp(|a| poloto::simple_theme(a, plotter))); |
|
121 |
|
122 std::fs::File::create(filename + ".svg").and_then(|mut file| |
|
123 file.write_all(svg.as_bytes()) |
|
124 ).expect("SVG save error"); |
|
125 } |
86 } |
126 |
87 |
127 fn plot_into_file< |
88 fn plot_into_file< |
128 F : Float, |
89 F : Float, |
129 T1 : RealMapping<F, 1>, |
90 T1 : RealMapping<F, 1>, |
130 > ( |
91 > ( |
131 g : &T1, |
92 g : &T1, |
132 grid : LinGrid<F, 1>, |
93 grid : LinGrid<F, 1>, |
133 filename : String, |
94 filename : String, |
134 explanation : String |
95 ) { |
135 ) { |
96 let data = grid.into_iter().map(|p@Loc([x]) : Loc<F, 1>| CSVHelper1 { |
136 let graph_g = grid.into_iter().map(|x@Loc([x0]) : Loc<F, 1>| { |
97 x, |
137 [x0.as_(), g.apply(&x).as_()] |
98 f : g.apply(&p), |
138 }); |
99 }); |
139 |
|
140 let plotter: poloto::Plotter<'_, float, float> = poloto::plot("f", "x", "f(x)") |
|
141 .line(explanation.as_str(), graph_g.clone()) |
|
142 .move_into(); |
|
143 |
|
144 let svg = format!("{}", poloto::disp(|a| poloto::simple_theme(a, plotter))); |
|
145 |
|
146 let svg_f = format!("{}.svg", filename); |
|
147 std::fs::File::create(svg_f).and_then(|mut file| |
|
148 file.write_all(svg.as_bytes()) |
|
149 ).expect("SVG save error"); |
|
150 |
|
151 let csv_f = format!("{}.txt", filename); |
100 let csv_f = format!("{}.txt", filename); |
152 write_csv(graph_g, csv_f).expect("CSV save error"); |
101 write_csv(data, csv_f).expect("CSV save error"); |
153 } |
102 } |
154 |
103 |
155 } |
104 } |
156 |
105 |
157 /// Convert $[0, 1] ∈ F$ to $\\\{0, …, M\\\} ∈ F$ where $M=$`F::RANGE_MAX`. |
106 #[derive(Serialize)] |
158 #[inline] |
107 struct CSVHelper2<F : Float> { |
159 fn scale_uint<F, U>(v : F) -> U |
108 x : F, |
160 where F : Float + CastFrom<U> + num_traits::cast::AsPrimitive<U>, |
109 y : F, |
161 U : Unsigned { |
110 f : F, |
162 (v*F::cast_from(U::RANGE_MAX)).as_() |
111 } |
163 } |
112 |
164 |
113 #[derive(Serialize)] |
165 /// Convert $[a, b] ∈ F$ to $\\\{0, …, M\\\} ∈ F$ where $M=$`F::RANGE_MAX`. |
114 struct CSVHelper2_2<F : Float>{ |
166 #[replace_float_literals(F::cast_from(literal))] |
115 x : F, |
167 #[inline] |
116 y : F, |
168 fn scale_range_uint<F, U>(v : F, &Bounds(a, b) : &Bounds<F>) -> U |
117 g : Option<F>, |
169 where F : Float + CastFrom<U> + num_traits::cast::AsPrimitive<U>, |
118 omega : Option<F> |
170 U : Unsigned { |
119 } |
171 debug_assert!(a < b); |
120 |
172 scale_uint(((v - a)/(b - a)).max(0.0).min(1.0)) |
121 #[derive(Serialize)] |
173 } |
122 struct CSVSpike2<F : Float> { |
174 |
123 x : F, |
175 |
124 y : F, |
176 /// Sample a mapping on a grid. |
125 alpha : F, |
177 /// |
|
178 /// Returns a vector of values as well as upper and lower bounds of the values. |
|
179 fn rawdata_and_range<F, T>(grid : &LinGrid<F, 2>, g :&T) -> (Vec<F>, Bounds<F>) |
|
180 where F : Float, |
|
181 T : RealMapping<F, 2> { |
|
182 let rawdata : Vec<F> = grid.into_iter().map(|x| g.apply(&x)).collect(); |
|
183 let range = rawdata.iter() |
|
184 .map(|&v| Bounds(v, v)) |
|
185 .reduce(|b1, b2| b1.common(&b2)) |
|
186 .unwrap(); |
|
187 (rawdata, range) |
|
188 } |
|
189 |
|
190 /*fn to_range<'a, F, U>(rawdata : &'a Vec<F>, range : &'a Bounds<F>) |
|
191 -> std::iter::Map<std::slice::Iter<'a, F>, impl FnMut(&'a F) -> U> |
|
192 where F : Float + CastFrom<U> + num_traits::cast::AsPrimitive<U>, |
|
193 U : Unsigned { |
|
194 rawdata.iter().map(move |&v| scale_range_uint(v, range)) |
|
195 }*/ |
|
196 |
|
197 /// Convert a scalar value to an RGB triplet. |
|
198 /// |
|
199 /// Converts the value `v` supposed to be within the range `[a, b]` to an rgb value according |
|
200 /// to the given `ramp` of equally-spaced rgb interpolation points. |
|
201 #[replace_float_literals(F::cast_from(literal))] |
|
202 fn one_to_ramp<F, U>( |
|
203 &Bounds(a, b) : &Bounds<F>, |
|
204 ramp : &Vec<Loc<F, 3>>, |
|
205 v : F, |
|
206 ) -> Rgb<U> |
|
207 where F : Float + CastFrom<U> + num_traits::cast::AsPrimitive<U>, |
|
208 U : Unsigned { |
|
209 |
|
210 let n = ramp.len() - 1; |
|
211 let m = F::cast_from(U::RANGE_MAX); |
|
212 let ramprange = move |v : F| {let m : usize = v.as_(); m.min(n).max(0) }; |
|
213 |
|
214 let w = F::cast_from(n) * (v - a) / (b - a); // convert [0, 1] to [0, n] |
|
215 let (l, u) = (w.floor(), w.ceil()); // Find closest integers |
|
216 let (rl, ru) = (ramprange(l), ramprange(u)); |
|
217 let (cl, cu) = (ramp[rl], ramp[ru]); // Get corresponding colours |
|
218 let λ = match rl==ru { // Interpolation factor |
|
219 true => 0.0, |
|
220 false => (u - w) / (u - l), |
|
221 }; |
|
222 let Loc(rgb) = cl * λ + cu * (1.0 - λ); // Interpolate |
|
223 |
|
224 Rgb(rgb.map(|v| (v * m).round().min(m).max(0.0).as_())) |
|
225 } |
|
226 |
|
227 /// Convert a an iterator over scalar values to an iterator over RGB triplets. |
|
228 /// |
|
229 /// The conversion is that performed by [`one_to_ramp`]. |
|
230 #[replace_float_literals(F::cast_from(literal))] |
|
231 fn to_ramp<'a, F, U, I>( |
|
232 bounds : &'a Bounds<F>, |
|
233 ramp : &'a Vec<Loc<F, 3>>, |
|
234 iter : I, |
|
235 ) -> std::iter::Map<I, impl FnMut(F) -> Rgb<U> + 'a> |
|
236 where F : Float + CastFrom<U> + num_traits::cast::AsPrimitive<U>, |
|
237 U : Unsigned, |
|
238 I : Iterator<Item = F> + 'a { |
|
239 iter.map(move |v| one_to_ramp(bounds, ramp, v)) |
|
240 } |
|
241 |
|
242 /// Convert a [`colorbrewer`] sepcification to a ramp of rgb triplets. |
|
243 fn get_ramp<F : Float>((palette, nb) : (CbPalette, u32)) -> Vec<Loc<F, 3>> { |
|
244 let m = F::cast_from(u8::MAX); |
|
245 colorbrewer::get_color_ramp(palette, nb) |
|
246 .expect("Invalid colorbrewer ramp") |
|
247 .into_iter() |
|
248 .map(|rgb::RGB{r, g, b}| { |
|
249 [r, g, b].map(|c| F::cast_from(c) / m).into() |
|
250 }).collect() |
|
251 } |
|
252 |
|
253 /// Perform hue shifting of an RGB value. |
|
254 /// |
|
255 // The hue `ω` is in radians. |
|
256 #[replace_float_literals(F::cast_from(literal))] |
|
257 fn hueshift<F, U>(ω : F, Rgb([r_in, g_in, b_in]) : Rgb<U>) -> Rgb<U> |
|
258 where F : Float + CastFrom<U>, |
|
259 U : Unsigned { |
|
260 let m = F::cast_from(U::RANGE_MAX); |
|
261 let r = F::cast_from(r_in) / m; |
|
262 let g = F::cast_from(g_in) / m; |
|
263 let b = F::cast_from(b_in) / m; |
|
264 let u = ω.cos(); |
|
265 let w = ω.sin(); |
|
266 |
|
267 let nr = (0.299 + 0.701*u + 0.168*w) * r |
|
268 + (0.587 - 0.587*u + 0.330*w) * g |
|
269 + (0.114 - 0.114*u - 0.497*w) * b; |
|
270 let ng = (0.299 - 0.299*u - 0.328*w) * r |
|
271 + (0.587 + 0.413*u + 0.035*w) * g |
|
272 + (0.114 - 0.114*u + 0.292*w) *b; |
|
273 let nb = (0.299 - 0.3*u + 1.25*w) * r |
|
274 + (0.587 - 0.588*u - 1.05*w) * g |
|
275 + (0.114 + 0.886*u - 0.203*w) * b; |
|
276 |
|
277 Rgb([nr, ng, nb].map(scale_uint)) |
|
278 } |
126 } |
279 |
127 |
280 |
128 |
281 impl Plotting<2> for PlotLookup { |
129 impl Plotting<2> for PlotLookup { |
282 #[replace_float_literals(F::cast_from(literal))] |
130 #[replace_float_literals(F::cast_from(literal))] |
283 fn plot_into_file_spikes< |
131 fn plot_into_file_spikes< |
284 F : Float, |
132 F : Float, |
285 T1 : RealMapping<F, 2>, |
133 T1 : RealMapping<F, 2>, |
286 T2 : RealMapping<F, 2> |
134 T2 : RealMapping<F, 2> |
287 > ( |
135 > ( |
288 _g_explanation : String, |
136 g0 : Option<&T1>, |
289 g : &T1, |
|
290 _ω_explanation : String, |
|
291 ω0 : Option<&T2>, |
137 ω0 : Option<&T2>, |
292 grid : LinGrid<F, 2>, |
138 grid : LinGrid<F, 2>, |
293 _bnd0 : Option<Bounds<F>>, |
|
294 μ : &DiscreteMeasure<Loc<F, 2>, F>, |
139 μ : &DiscreteMeasure<Loc<F, 2>, F>, |
295 filename : String, |
140 filename : String, |
296 ) { |
141 ) { |
297 let [w, h] = grid.count; |
142 let data = grid.into_iter().map(|p@Loc([x, y]) : Loc<F, 2>| CSVHelper2_2 { |
298 let (rawdata_g, range_g) = rawdata_and_range(&grid, g); |
143 x, |
299 let (rawdata_ω, range) = match ω0 { |
144 y, |
300 Some(ω) => { |
145 g : g0.map(|g| g.apply(&p)), |
301 let (rawdata_ω, range_ω) = rawdata_and_range(&grid, ω); |
146 omega : ω0.map(|ω| ω.apply(&p)) |
302 (rawdata_ω, range_g.common(&range_ω)) |
147 }); |
303 }, |
148 let csv_f = format!("{}_functions.csv", filename); |
304 None => { |
149 write_csv(data, csv_f).expect("CSV save error"); |
305 let mut zeros = Vec::new(); |
150 |
306 zeros.resize(rawdata_g.len(), 0.0); |
151 let spikes = μ.iter_spikes().map(|δ| { |
307 (zeros, range_g) |
152 let Loc([x, y]) = δ.x; |
308 } |
153 CSVSpike2 { x, y, alpha : δ.α } |
309 }; |
154 }); |
310 let ramp = get_ramp(RAMP); |
155 let csv_f = format!("{}_spikes.csv", filename); |
311 let base_im_iter = to_ramp::<F, u16, _>(&range_g, &ramp, rawdata_g.iter().cloned()); |
156 write_csv(spikes, csv_f).expect("CSV save error"); |
312 let im_iter = izip!(base_im_iter, rawdata_g.iter(), rawdata_ω.iter()) |
|
313 .map(|(rgb, &v, &w)| { |
|
314 hueshift(2.0 * F::PI * (v - w).abs() / range.upper(), rgb) |
|
315 }); |
|
316 let mut img = ImageBuffer::new(w as u32, h as u32); |
|
317 img.pixels_mut() |
|
318 .zip(im_iter) |
|
319 .for_each(|(p, v)| *p = v); |
|
320 |
|
321 // Add spikes |
|
322 let m = μ.iter_masses().fold(F::ZERO, |m, α| m.max(α)); |
|
323 let μ_range = Bounds(F::ZERO, m); |
|
324 for &DeltaMeasure{ ref x, α } in μ.iter_spikes() { |
|
325 let [a, b] = map4(x, &grid.start, &grid.end, &grid.count, |&ξ, &a, &b, &n| { |
|
326 ((ξ-a)/(b-a)*F::cast_from(n)).as_() |
|
327 }); |
|
328 if a < w.as_() && b < h.as_() { |
|
329 let sc : u16 = scale_range_uint(α, &μ_range); |
|
330 // TODO: use max of points that map to this pixel. |
|
331 img[(a, b)] = Rgb([u16::MAX, u16::MAX, sc/2]); |
|
332 } |
|
333 } |
|
334 |
|
335 img.save_with_format(filename + ".png", ImageFormat::Png) |
|
336 .expect("Image save error"); |
|
337 } |
157 } |
338 |
158 |
339 fn plot_into_file< |
159 fn plot_into_file< |
340 F : Float, |
160 F : Float, |
341 T1 : RealMapping<F, 2>, |
161 T1 : RealMapping<F, 2>, |
342 > ( |
162 > ( |
343 g : &T1, |
163 g : &T1, |
344 grid : LinGrid<F, 2>, |
164 grid : LinGrid<F, 2>, |
345 filename : String, |
165 filename : String, |
346 _explanation : String |
166 ) { |
347 ) { |
167 let data = grid.into_iter().map(|p@Loc([x, y]) : Loc<F, 2>| CSVHelper2 { |
348 let [w, h] = grid.count; |
168 x, |
349 let (rawdata, range) = rawdata_and_range(&grid, g); |
169 y, |
350 let ramp = get_ramp(RAMP); |
170 f : g.apply(&p), |
351 let im_iter = to_ramp::<F, u16, _>(&range, &ramp, rawdata.iter().cloned()); |
171 }); |
352 let mut img = ImageBuffer::new(w as u32, h as u32); |
172 let csv_f = format!("{}.txt", filename); |
353 img.pixels_mut() |
173 write_csv(data, csv_f).expect("CSV save error"); |
354 .zip(im_iter) |
|
355 .for_each(|(p, v)| *p = v); |
|
356 img.save_with_format(filename.clone() + ".png", ImageFormat::Png) |
|
357 .expect("Image save error"); |
|
358 |
|
359 let csv_iter = grid.into_iter().zip(rawdata.iter()).map(|(Loc(x), &v)| (x, v)); |
|
360 let csv_f = filename + ".txt"; |
|
361 write_csv(csv_iter, csv_f).expect("CSV save error"); |
|
362 } |
174 } |
363 |
175 |
364 } |
176 } |
365 |
177 |
366 /// A helper structure for plotting a sequence of images. |
178 /// A helper structure for plotting a sequence of images. |