openscad/dotSCAD
1
0
Fork 0
mirror of https://github.com/JustinSDK/dotSCAD.git synced 2025-08-14 02:34:12 +02:00
Code Issues Releases Wiki Activity

refactor: search is faster

Browse Source
This commit is contained in:
Justin Lin
2022-03-22 07:59:54 +08:00
parent d38c3b91fc
commit d2a9b4be93
1 changed files with 7 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
src/experimental/_impl/_tiles_wfc_impl.scad
View File

@@ -5,6 +5,7 @@ use <util/map/hashmap.scad>;
use <util/map/hashmap_put.scad>; use <util/map/hashmap_put.scad>;
use <util/map/hashmap_get.scad>; use <util/map/hashmap_get.scad>;
use <util/map/hashmap_keys.scad>; use <util/map/hashmap_keys.scad>;
use <util/map/hashmap_entries.scad>;
use <util/set/hashset.scad>; use <util/set/hashset.scad>;
use <util/set/hashset_elems.scad>; use <util/set/hashset_elems.scad>;
@@ -13,7 +14,7 @@ function weights_of_tiles(sample) =
symbols = [for(row = sample) each row], symbols = [for(row = sample) each row],
leng = len(symbols) leng = len(symbols)
) )
_weights_of_tiles(hashmap(number_of_buckets = leng), symbols, leng); hashmap_entries(_weights_of_tiles(hashmap(number_of_buckets = leng), symbols, leng));
function _weights_of_tiles(weights, symbols, leng, i = 0) = function _weights_of_tiles(weights, symbols, leng, i = 0) =
i == leng ? weights : i == leng ? weights :
@@ -42,7 +43,7 @@ function wave_function(width, height, weights) =
function _initialEigenstates(width, height, weights) = function _initialEigenstates(width, height, weights) =
let( let(
keys = hashmap_keys(weights), keys = [for(weight = weights) weight[0]],
row = [for(x = [0:width - 1]) keys] row = [for(x = [0:width - 1]) keys]
) )
[for(y = [0:height - 1]) row]; [for(y = [0:height - 1]) row];
@@ -53,11 +54,13 @@ function wf_weights(wf) = wf[2];
function wf_eigenstates(wf) = wf[3]; function wf_eigenstates(wf) = wf[3];
function wf_eigenstates_at(wf, x, y) = wf_eigenstates(wf)[y][x]; function wf_eigenstates_at(wf, x, y) = wf_eigenstates(wf)[y][x];
function get_state_weight(weights, state) = weights[search([state], weights)[0]][1];
function wf_collapse(wf, x, y, weights) = function wf_collapse(wf, x, y, weights) =
let( let(
states = wf_eigenstates_at(wf, x, y), states = wf_eigenstates_at(wf, x, y),
wets = is_undef(weights) ? wets = is_undef(weights) ?
let(all_weights = wf_weights(wf)) [for(state = states) hashmap_get(all_weights, state)] : let(all_weights = wf_weights(wf)) [for(state = states) get_state_weight(all_weights, state)] :
weights, weights,
threshold = rand() * sum(wets) threshold = rand() * sum(wets)
) )
@@ -74,7 +77,7 @@ function _wf_collapse(wf, x, y, states, weights, leng, threshold, i = 0) =
function wf_entropy_weights(wf, x, y) = function wf_entropy_weights(wf, x, y) =
let( let(
all_weights = wf_weights(wf), all_weights = wf_weights(wf),
weights = [for(state = wf_eigenstates_at(wf, x, y)) hashmap_get(all_weights, state)], weights = [for(state = wf_eigenstates_at(wf, x, y)) get_state_weight(all_weights, state)],
sumOfWeights = sum(weights), sumOfWeights = sum(weights),
sumOfWeightLogWeights = sum([for(w = weights) w * ln(w)]) sumOfWeightLogWeights = sum([for(w = weights) w * ln(w)])
) )