Native syntax

.gitignore

@@ -1,2 +1,4 @@
 node_modules
 build
+data
+models

eslint.config.mjs

@@ -1,11 +1,11 @@
-import path from 'node:path'
-import { fileURLToPath } from 'node:url'
 import { FlatCompat } from '@eslint/eslintrc'
 import js from '@eslint/js'
-import ts from '@typescript-eslint/eslint-plugin'
 import stylistic from '@stylistic/eslint-plugin'
 import stylisticts from '@stylistic/eslint-plugin-ts'
+import ts from '@typescript-eslint/eslint-plugin'
 import parser from '@typescript-eslint/parser'
+import path from 'node:path'
+import { fileURLToPath } from 'node:url'
 
 export default [
   ...new FlatCompat({
@@ -39,7 +39,9 @@ export default [
       '@stylistic/indent': 'error',
       '@stylistic/arrow-parens': ['error', 'as-needed', { requireForBlockBody: false }],
       '@stylistic/max-statements-per-line': 'off',
-      '@stylistic/member-delimiter-style': 'error',
+      '@stylistic/member-delimiter-style': 'off',
+      '@stylistic/ts/member-delimiter-style': 'error',
+      '@stylistic/no-mixed-operators': 'off',
       '@typescript-eslint/no-unused-vars': [
         'error',
         {

package.json

@@ -1,5 +1,5 @@
 {
-  "name": "jlc",
+  "name": "nn",
   "version": "1.0.0",
   "type": "module",
   "main": "index.js",
@@ -7,8 +7,9 @@
   "license": "MIT",
   "scripts": {
     "build": "rm -rf build && tsc",
-    "start": "yarn build && node --import=extensionless/register build/index.js",
+    "start": "yarn build && systemd-inhibit --what=idle:sleep --why='Training a model' node --import=extensionless/register build/index.js",
     "start:debug": "yarn build && node --inspect-brk --import=extensionless/register build/index.js",
+    "start:profile": "yarn build && node --prof --import=extensionless/register build/index.js",
     "test": "jest",
     "test:debug": "node --inspect-brk node_modules/.bin/jest --runInBand",
     "lint": "eslint",
@@ -28,5 +29,12 @@
     "ts-jest": "^29.2.3",
     "ts-node": "^10.9.2",
     "typescript": "^5.5.4"
+  },
+  "dependencies": {
+    "@webgpu/glslang": "^0.0.15",
+    "@webgpu/types": "^0.1.60",
+    "ts-command-line-args": "^2.5.1",
+    "webgpu": "^0.2.11",
+    "yargs": "^17.7.2"
   }
 }

shader/argmax.wgsl

@@ -0,0 +1,37 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct FVectorBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct UVectorBatch {
+  size: vec4<u32>,
+  data: array<u32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> ps: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: UVectorBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size.x = ps.size.y;
+  result.size.z = ps.size.z;
+
+  var mi = 0u;
+  var mp = 0f;
+  var pi = global_id.z * ps.size.y * ps.size.x + global_id.x * ps.size.x;
+  for (var i = 0u; i < ps.size.x; i++) {
+    if (ps.data[pi] > mp) {
+      mi = i;
+      mp = ps.data[pi];
+    }
+    pi++;
+  }
+  result.data[global_id.z * result.size.x + global_id.x] = mi;
+}

shader/attw.wgsl

@@ -0,0 +1,33 @@
+struct PackedMatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<f32>>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> e: PackedMatrixBatch;
+@group(0) @binding(1)
+var<storage, read> tw: PackedMatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> aw: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  aw.size.x = tw.size.y;
+  aw.size.y = e.size.y;
+  aw.size.z = e.size.z;
+
+  var s = 0f;
+  let vc = e.size.x / 4;
+  let lo = (global_id.z * e.size.y + global_id.y) * vc;
+  let ro = (global_id.z * tw.size.y + global_id.x) * vc;
+  for (var i = 0u; i < vc; i++) {
+    s += dot(e.data[lo + i], tw.data[ro + i]);
+  }
+
+  aw.data[(global_id.z * aw.size.y + global_id.y) * aw.size.x + global_id.x] = s;
+}

shader/avg.wgsl

@@ -0,0 +1,32 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+struct Matrix {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> m: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: Matrix;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = m.size;
+  result.size.z = 1;
+
+  var vc = result.size.x / 4;
+  var resi = global_id.y * vc + global_id.x;
+  result.data[resi] = vec4(0f);
+
+  var mi = resi;
+  for (var z = 0u; z < m.size.z; z++) {
+    result.data[resi] += m.data[mi] / vec4(f32(m.size.z));
+    mi += m.size.y * vc;
+  }
+}

shader/base.wgsl

@@ -0,0 +1,18 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(3)
+var<storage, read_write> m: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  for (var z = 0u; z < m.size.z; z++) {
+    for (var y = 0u; y < m.size.y; y++) {
+      for (var x = 0u; x < m.size.x; x++) {
+        m.data[z * m.size.y * m.size.x + y * m.size.x + x] = 0f;
+      }
+    }
+  }
+}

shader/bscale.wgsl

@@ -0,0 +1,26 @@
+alias number = f32;
+
+struct ScalarBatch {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: ScalarBatch;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = r_or_result.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[global_id.z] * r_or_result.data[resi];
+}

shader/cdiv.wgsl

@@ -0,0 +1,21 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = l.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[resi] / r_or_result.data[resi];
+}

shader/cmul.wgsl

@@ -0,0 +1,21 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = l.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[resi] * r_or_result.data[resi];
+}

shader/cscale.wgsl

@@ -0,0 +1,26 @@
+alias number = f32;
+
+struct Scalar {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: Scalar;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = r_or_result.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[0] * r_or_result.data[resi];
+}

shader/csub.wgsl

@@ -0,0 +1,21 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = l.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[resi] - r_or_result.data[resi];
+}

shader/csum.wgsl

@@ -0,0 +1,21 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r_or_result: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = l.size;
+
+  var resi = (global_id.z * result.size.y + global_id.y) * result.size.x / 4 + global_id.x;
+  result.data[resi] = l.data[resi] + r_or_result.data[resi];
+}

shader/dldo.wgsl

@@ -0,0 +1,34 @@
+alias number = f32;
+
+struct Scalar {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+struct UVectorBatch {
+  size: vec4<u32>,
+  data: array<u32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> m: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> v: UVectorBatch;
+@group(0) @binding(2)
+var<storage, read> lr: Scalar;
+@group(0) @binding(3)
+var<storage, read_write> grs: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  grs.size = m.size;
+
+  var vi = global_id.z * v.size.x + global_id.y;
+  var gi = vi * grs.size.x + global_id.x;
+  grs.data[gi] = lr.data[0] * (m.data[gi] - select(0f, 1f, v.data[vi] == global_id.x));
+}

shader/dlds.wgsl

@@ -0,0 +1,48 @@
+struct Scalar {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> ds: Scalar;
+@group(0) @binding(1)
+var<storage, read> wa: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read> v: MatrixBatch;
+@group(0) @binding(3)
+var<storage, read> otdldo: MatrixBatch;
+@group(0) @binding(4)
+var<storage, read_write> dlds: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  dlds.size = wa.size;
+
+  var s = 0f;
+  var li = (global_id.z * v.size.y + global_id.x) * v.size.x;
+  var ri = global_id.z * otdldo.size.x * otdldo.size.y + global_id.y;
+
+  for (var i = 0u; i < v.size.x; i++) {
+    var cs = 0f;
+    var lj = global_id.z * wa.size.y * wa.size.x + global_id.y * wa.size.x;
+    var mj = global_id.z * v.size.x * v.size.y + i;
+    for (var j = 0u; j < wa.size.x; j++) {
+      cs += wa.data[lj] * v.data[mj];
+      lj++;
+      mj += v.size.x;
+    }
+
+    s += (v.data[li] - cs) * otdldo.data[ri];
+
+    li++;
+    ri += otdldo.size.x;
+  }
+
+  let resi = (global_id.z * dlds.size.y + global_id.y) * dlds.size.x + global_id.x;
+  dlds.data[resi] = ds.data[0] * wa.data[resi] * s;
+}

shader/dots.wgsl

@@ -0,0 +1,43 @@
+struct Scalar {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct Matrix {
+  size: vec4<u32>,
+  data: array<vec4<f32>>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<f32>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> ebs: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> ows: Matrix;
+@group(0) @binding(2)
+var<storage, read> tmp: Scalar;
+@group(0) @binding(3)
+var<storage, read_write> dts: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  dts.size.x = ows.size.y;
+  dts.size.y = ebs.size.y;
+  dts.size.z = ebs.size.z;
+
+  let vc = ebs.size.x / 4;
+  let eo = (global_id.z * ebs.size.y + global_id.y) * vc;
+  let oo = 4 * global_id.x * vc;
+  var s = vec4(0f);
+  for (var i = 0u; i < vc; i++) {
+    let eb = ebs.data[eo + i];
+    s.x += dot(eb, ows.data[oo + 0 * vc + i]);
+    s.y += dot(eb, ows.data[oo + 1 * vc + i]);
+    s.z += dot(eb, ows.data[oo + 2 * vc + i]);
+    s.w += dot(eb, ows.data[oo + 3 * vc + i]);
+  }
+  dts.data[(global_id.z * dts.size.y + global_id.y) * dts.size.x / 4 + global_id.x] = tmp.data[0] * s;
+}

shader/embed.wgsl

@@ -0,0 +1,30 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> ilogits: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> inp: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read> pos: MatrixBatch;
+@group(0) @binding(3)
+var<storage, read_write> r: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  r.size = pos.size;
+
+  var s = 0f;
+  var li = (global_id.z * ilogits.size.y + global_id.y) * ilogits.size.x;
+  var ri = global_id.z * inp.size.x * inp.size.y + global_id.x;
+  for (var i = 0u; i < ilogits.size.x; i++) {
+    s += ilogits.data[li] * inp.data[ri];
+    li++;
+    ri += inp.size.x;
+  }
+
+  var resi = (global_id.z * r.size.y + global_id.y) * r.size.x + global_id.x;
+  r.data[resi] = s + pos.data[resi];
+}

shader/gradinp.wgsl

@@ -0,0 +1,47 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> ilogits: MatrixBatch;
+@group(0) @binding(0)
+var<storage, read> tilogits: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> dldsq: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read> dldsk: MatrixBatch;
+@group(0) @binding(3)
+var<storage, read> totdldowa: MatrixBatch;
+@group(0) @binding(4)
+var<storage, read> tqry: MatrixBatch;
+@group(0) @binding(5)
+var<storage, read> tkey: MatrixBatch;
+@group(0) @binding(6)
+var<storage, read> tval: MatrixBatch;
+@group(0) @binding(7)
+var<storage, read_write> ginp: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  ginp.size.x = tval.size.x;
+  ginp.size.y = ilogits.size.x;
+  ginp.size.z = ilogits.size.z;
+
+  var ts = 0f;
+  var li = global_id.z * ilogits.size.y * ilogits.size.x + global_id.y;
+  for (var i = 0u; i < ilogits.size.y; i++) {
+    var s = 0f;
+    var lj = global_id.z * totdldowa.size.x * totdldowa.size.y + i * totdldowa.size.x;
+    var rj = global_id.z * tval.size.x * tval.size.y + global_id.x;
+    for (var j = 0u; j < totdldowa.size.x; j++) {
+      s += totdldowa.data[lj] * tval.data[rj] + dldsq.data[lj] * tkey.data[rj] + dldsk.data[lj] * tqry.data[rj];
+      lj++;
+      rj += tval.size.x;
+    }
+    ts += ilogits.data[li] * s;
+    li += ilogits.size.x;
+  }
+
+  ginp.data[global_id.z * ginp.size.y * ginp.size.x + global_id.y * ginp.size.x + global_id.x] = ts;
+}

shader/gradtattw.wgsl

@@ -0,0 +1,28 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> e: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> dlds: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> gtattw: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  gtattw.size.z = e.size.z;
+  gtattw.size.y = e.size.x;
+  gtattw.size.x = e.size.x;
+
+  var s = 0f;
+  var li = global_id.z * e.size.x * e.size.y + global_id.x;
+  var ri = global_id.z * dlds.size.x * dlds.size.y + global_id.y;
+  for (var i = 0u; i < e.size.y; i++) {
+    s += e.data[li] * dlds.data[ri];
+    li += e.size.x;
+    ri += dlds.size.x;
+  }
+  gtattw.data[global_id.z * gtattw.size.y * gtattw.size.x + global_id.y * gtattw.size.x + global_id.x] = s;
+}

shader/gradtout.wgsl

@@ -0,0 +1,28 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> a: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> dldo: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> gtout: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  gtout.size = a.size;
+  gtout.size.y = dldo.size.x;
+
+  var s = 0f;
+  var ai = global_id.z * a.size.y * a.size.x + global_id.x;
+  var di = global_id.z * dldo.size.x * dldo.size.y + global_id.y;
+  for (var i = 0u; i < a.size.y; i++) {
+    s += a.data[ai] * dldo.data[di];
+    ai += a.size.x;
+    di += dldo.size.x;
+  }
+
+  gtout.data[global_id.z * gtout.size.y * gtout.size.x + global_id.y * gtout.size.x + global_id.x] = s;
+}

shader/hotones.wgsl

@@ -0,0 +1,19 @@
+struct UVectorBatch {
+  size: vec4<u32>,
+  data: array<u32>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> v: UVectorBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.data[global_id.z * result.size.y * result.size.x + global_id.y * result.size.x + global_id.x] = select(0f, 1f, global_id.x == v.data[global_id.z * v.size.x + global_id.y]);
+}

shader/isum.wgsl

@@ -0,0 +1,37 @@
+alias number = f32;
+
+struct VectorBatch {
+  size: vec4<u32>,
+  data: array<u32>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> v: VectorBatch;
+@group(0) @binding(1)
+var<storage, read> m: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = m.size;
+
+  var vc = result.size.x / 4;
+  var resi = (global_id.z * result.size.y + global_id.y) * vc + global_id.x;
+  result.data[resi] = vec4(0f);
+
+  var mi = global_id.z * m.size.y * vc + global_id.x;
+  var vi = global_id.z * v.size.x;
+  for (var i = 0u; i < v.size.x; i++) {
+    if (global_id.y == v.data[vi]) {
+      result.data[resi] += m.data[mi];
+    }
+    mi += vc;
+    vi++;
+  }
+}

shader/mul.wgsl

@@ -0,0 +1,31 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+@group(0) @binding(0)
+var<storage, read> l: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size.x = r.size.x;
+  result.size.y = l.size.y;
+  result.size.z = l.size.z;
+
+  var s = 0f;
+  var li = global_id.z * l.size.x * l.size.y + global_id.y * l.size.x;
+  var ri = global_id.z * r.size.x * r.size.y + global_id.x;
+  for (var i = 0u; i < l.size.x; i++) {
+    s += l.data[li] * r.data[ri];
+    li++;
+    ri += r.size.x;
+  }
+
+  result.data[global_id.z * result.size.y * result.size.x + global_id.y * result.size.x + global_id.x] = s;
+}

shader/otdldo.wgsl

@@ -0,0 +1,29 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> dldo: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> tout: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> otdldo: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  otdldo.size.x = dldo.size.y;
+  otdldo.size.y = tout.size.x;
+  otdldo.size.z = dldo.size.z;
+
+  var s = 0f;
+  var li = (global_id.z * dldo.size.y + global_id.x) * dldo.size.x;
+  var ri = global_id.z * tout.size.x * tout.size.y + global_id.y;
+  for (var i = 0u; i < dldo.size.x; i++) {
+    s += dldo.data[li] * tout.data[ri];
+    li++;
+    ri += tout.size.x;
+  }
+
+  otdldo.data[(global_id.z * otdldo.size.y + global_id.y) * otdldo.size.x + global_id.x] = s;
+}

shader/samples.wgsl

@@ -0,0 +1,39 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct FVectorBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+struct UVectorBatch {
+  size: vec4<u32>,
+  data: array<u32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> m: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> r: FVectorBatch;
+@group(0) @binding(2)
+var<storage, read_write> result: UVectorBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size.x = m.size.y;
+  result.size.z = m.size.z;
+  var resi = global_id.z * result.size.x + global_id.x;
+  var tp = r.data[global_id.z * r.size.x + global_id.x];
+  var p = 0f;
+  var mi = (global_id.z * m.size.y + global_id.x) * m.size.x;
+  for (var i = 0u; i < m.size.x; i++) {
+    p += m.data[mi];
+    if (p >= tp) {
+      result.data[resi] = i;
+      break;
+    }
+    mi++;
+  }
+}

shader/softmaxexp.wgsl

@@ -0,0 +1,25 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<f32>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> b: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = b.size;
+
+  var vc = result.size.x / 4;
+  var resi = (global_id.z * result.size.y + global_id.y) * vc + global_id.x;
+  var mv = b.data[resi];
+  var bi = (global_id.z * b.size.y + global_id.y) * vc;
+  for (var i = 0u; i < vc; i++) {
+    mv = max(mv, b.data[bi]);
+    bi++;
+  }
+  var ms = max(max(mv.x, mv.y), max(mv.z, mv.w));
+  result.data[resi] = exp(b.data[resi] - vec4(ms));
+}

shader/softmaxnorm.wgsl

@@ -0,0 +1,25 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<f32>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> b: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = b.size;
+
+  var vc = result.size.x / 4;
+  var resi = (global_id.z * result.size.y + global_id.y) * vc + global_id.x;
+  var sv = vec4(0f);
+  var bi = (global_id.z * b.size.y + global_id.y) * vc;
+  for (var i = 0u; i < vc; i++) {
+    sv += b.data[bi];
+    bi++;
+  }
+  var ss = sv.x + sv.y + sv.z + sv.w;
+  result.data[resi] = b.data[resi] / vec4(ss);
+}

shader/tot.wgsl

@@ -0,0 +1,32 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+struct Matrix {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> m: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> result: Matrix;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  result.size = m.size;
+  result.size.z = 1;
+
+  var vc = result.size.x / 4;
+  var resi = global_id.y * vc + global_id.x;
+  result.data[resi] = vec4(0f);
+
+  var mi = resi;
+  for (var z = 0u; z < m.size.z; z++) {
+    result.data[resi] += m.data[mi];
+    mi += m.size.y * vc;
+  }
+}

shader/totdldowa.wgsl

@@ -0,0 +1,29 @@
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<f32>,
+}
+
+@group(0) @binding(0)
+var<storage, read> wa: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read> otdldo: MatrixBatch;
+@group(0) @binding(2)
+var<storage, read_write> totdldowa: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  totdldowa.size.x = otdldo.size.y;
+  totdldowa.size.y = wa.size.x;
+  totdldowa.size.z = otdldo.size.z;
+
+  var s = 0f;
+  var li = global_id.z * otdldo.size.x * otdldo.size.y + global_id.x * otdldo.size.x;
+  var ri = global_id.z * wa.size.x * wa.size.y + global_id.y;
+  for (var i = 0u; i < otdldo.size.x; i++) {
+    s += otdldo.data[li] * wa.data[ri];
+    li++;
+    ri += wa.size.x;
+  }
+
+  totdldowa.data[(global_id.z * totdldowa.size.y + global_id.y) * totdldowa.size.x + global_id.x] = s;
+}

shader/transpose.wgsl

@@ -0,0 +1,20 @@
+alias number = f32;
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<number>,
+}
+
+@group(0) @binding(0)
+var<storage, read> in: MatrixBatch;
+@group(0) @binding(1)
+var<storage, read_write> out: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>) {
+  out.size.x = in.size.y;
+  out.size.y = in.size.x;
+  out.size.z = in.size.z;
+  var l = global_id.z * out.size.y * out.size.x;
+  out.data[l + global_id.y * out.size.x + global_id.x] = in.data[l + global_id.x * in.size.x + global_id.y];
+}

shader/unavg.wgsl

@@ -0,0 +1,26 @@
+alias number = f32;
+
+struct Matrix {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+struct MatrixBatch {
+  size: vec4<u32>,
+  data: array<vec4<number>>,
+}
+
+@group(0) @binding(0)
+var<storage, read> m: Matrix;
+@group(0) @binding(1)
+var<storage, read_write> result: MatrixBatch;
+
+@compute @workgroup_size(1)
+fn main(@builtin(global_invocation_id) global_id: vec3<u32>, @builtin(num_workgroups) num_workgroups: vec3<u32>) {
+  result.size = m.size;
+  result.size.z = num_workgroups.z * 2;
+
+  var vc = result.size.x / 4;
+  var mi = global_id.y * vc + global_id.x;
+  result.data[global_id.z * result.size.y * vc + mi] = m.data[mi];
+}

src/bf.ts

@@ -1,58 +0,0 @@
-import { _, _l, cnst, g, id, n, pipe } from './core';
-import { iif } from './bool';
-import { Zero, ge, ifz, pred, succ } from './num';
-import { x00 } from './byte';
-import { fromChar as _c, dec as cdec, inc as cinc, eq, ifn } from './char';
-import { Pair, first, fst, second, snd, uncurry } from './pair';
-import { cons, head, repeat, set, singleton, tail, update } from './list';
-import { Empty, get, len, snoc } from './string';
-
-n('bf');
-
-const done = g('done', uncurry._(_l(p => cnst._(uncurry._(_l(is => _l(cs => ge._(head._(is))._(len._(cs)))))._(p)))));
-
-const command = g('command', _l(c => uncurry._(_l(p => cnst._(eq._(c)._(uncurry._(pipe._(get)._(head))._(p)))))));
-
-const advance = g('advance', first._(first._(update._(succ)._(Zero))));
-
-const save = g('save', first._(first._(_l(is => cons._(head._(is))._(is)))));
-
-const restore = g('restore', first._(first._(tail)));
-
-const reset = g('reset', first._(first._(_l(is => cons._(head._(is))._(tail._(tail._(is)))))));
-
-const inc = g('inc', second._(first._(_l(t => second._(update._(cinc)._(fst._(t)))._(t)))));
-
-const dec = g('dec', second._(first._(_l(t => second._(update._(cdec)._(fst._(t)))._(t)))));
-
-const read = g('read', pipe._(pipe._(uncurry._(get))._(fst))._(snd));
-
-const input = g('input', second._(uncurry._(_l(t => _l(io => Pair._(second._(set._(head._(fst._(io)))._(fst._(t)))._(t))._(first._(tail)._(io)))))));
-
-const output = g('output', second._(uncurry._(_l(t => pipe._(Pair._(t))._(second._(_l(os => snoc._(os)._(uncurry._(get)._(t)))))))));
-
-const next = g('next', second._(first._(first._(succ))));
-
-const prev = g('prev', second._(first._(first._(pred))));
-
-const jump = g('jump', _l(d => _l(s =>
-  iif._(command._(_c('['))._(s))._(jump._(succ._(d)))
-    ._(iif._(command._(_c(']'))._(s))._(ifz._(pred._(d))._(cnst._(s))._(jump._(pred._(d))))
-      ._(jump._(d)))._(advance._(s)))));
-
-const whlnz = g('whlnz', _l(s => ifn._(read._(s))._(jump._(Zero))._(save)._(s)));
-
-const endwhl = g('endwhl', _l(s => ifn._(read._(s))._(reset)._(pipe._(save)._(restore))._(s)));
-
-const exec = g('exec', _l(s => iif._(done._(s))._(s)._(exec._(advance
-  ._(iif._(command._(_c('>'))._(s))._(next)
-    ._(iif._(command._(_c('<'))._(s))._(prev)
-      ._(iif._(command._(_c('+'))._(s))._(inc)
-        ._(iif._(command._(_c('-'))._(s))._(dec)
-          ._(iif._(command._(_c('.'))._(s))._(output)
-            ._(iif._(command._(_c(','))._(s))._(input)
-              ._(iif._(command._(_c('['))._(s))._(whlnz)
-                ._(iif._(command._(_c(']'))._(s))._(endwhl)
-                  ._(id))))))))._(s))))));
-
-export const run = g('run', _l(p => _l(i => snd._(snd._(snd._(exec._(Pair._(Pair._(singleton._(Zero))._(p))._(Pair._(Pair._(Zero)._(repeat._(x00)))._(Pair._(i)._(Empty))))))))));

src/bool.show.ts

@@ -1,7 +0,0 @@
-import { _l, g, n } from './core';
-import { iif } from './bool';
-import { fromString as _s } from './string';
-
-n('bool.show');
-
-export const show = g('show', _l(b => iif._(b)._(_s('True'))._(_s('False'))));

src/bool.ts

@@ -1,34 +0,0 @@
-import { $, Term, _, _l, g, id, n, pipe } from './core';
-import { EQ, GT, LT } from './ord';
-
-n('bool');
-
-export const True = g('True', _l(t => _l(_ => t)));
-
-export const False = g('False', _l(_ => _l(f => f)));
-
-export const iif = g('iif', id);
-
-export const not = g('not', _l(b => b._(False)._(True)));
-
-export const cmp = g('cmp', _l(l => _l(r => l._(r._(EQ)._(GT))._(r._(LT)._(EQ)))));
-
-export const lt = g('lt', _l(l => l._(False)));
-
-export const le = g('le', _l(l => not._(l)._(True)));
-
-export const eq = g('eq', _l(l => _l(r => l._(r)._(not._(r)))));
-
-export const ge = g('ge', _l(l => pipe._(not)._(lt._(l))));
-
-export const gt = g('gt', _l(l => pipe._(not)._(le._(l))));
-
-export const and = g('and', _l(l => not._(l)._(False)));
-
-export const or = g('or', _l(l => l._(True)));
-
-export const xor = g('xor', _l(l => _l(r => l._(not._(r))._(r))));
-
-export const fromBoolean: (b: boolean) => Term = b => b ? True : False;
-
-export const toBoolean: (b: Term) => boolean = b => $(b._(_(true))._(_(false)).reduce());

src/byte.show.ts

@@ -1,7 +0,0 @@
-import { _l, g, n } from './core';
-import { snd } from './pair';
-import { show as nshow } from './num.show';
-
-n('byte.show');
-
-export const show = g('show', _l(n => nshow._(snd._(n))));

src/byte.ts

@@ -1,50 +0,0 @@
-import { Term, _, _l, cnst, g, n } from './core';
-import { iif } from './bool';
-import { toNumber as $n, Zero, fromNumber as _n, cmp as ncmp, eq as neq, even as neven, ge as nge, gt as ngt, le as nle, lt as nlt, odd as nodd, pred, succ } from './num';
-import { Pair, snd, uncurry } from './pair';
-
-n('byte');
-
-export const x00 = g('x00', Pair._(_n(255))._(Zero));
-
-export const xFF = g('xFF', Pair._(Zero)._(_n(255)));
-
-export const Inc = g('Inc', uncurry._(_l(i => _l(s => i._(x00)._(_l(pi => Pair._(pi)._(succ._(s))))))));
-
-export const ifz = g('ifz', _l(n => _l(t => _l(f => snd._(n)._(t)._(cnst._(f))))));
-
-export const inc = g('inc', Inc);
-
-export const dec = g('dec', _l(n => uncurry._(_l(i => _l(s => s._(xFF)._(_l(ps => Pair._(succ._(i))._(ps))))))._(n)));
-
-export const cmp = g('cmp', _l(l => _l(r => ncmp._(snd._(l))._(snd._(r)))));
-
-export const lt = g('lt', _l(l => _l(r => nlt._(snd._(l))._(snd._(r)))));
-
-export const le = g('le', _l(l => _l(r => nle._(snd._(l))._(snd._(r)))));
-
-export const eq = g('eq', _l(l => _l(r => neq._(snd._(l))._(snd._(r)))));
-
-export const ge = g('ge', _l(l => _l(r => nge._(snd._(l))._(snd._(r)))));
-
-export const gt = g('gt', _l(l => _l(r => ngt._(snd._(l))._(snd._(r)))));
-
-export const even = g('even', _l(l => _l(r => neven._(snd._(l))._(snd._(r)))));
-
-export const odd = g('odd', _l(l => _l(r => nodd._(snd._(l))._(snd._(r)))));
-
-export const sum = g('sum', _l(l => _l(r => snd._(r)._(l)._(_l(_ => sum._(inc._(l))._(dec._(r)))))));
-
-export const sub = g('sub', _l(l => _l(r => snd._(r)._(l)._(_l(_ => sub._(dec._(l))._(dec._(r)))))));
-
-export const mul = g('mul', _l(l => _l(r => snd._(l)._(x00)._(_l(_ => sum._(r)._(mul._(dec._(l))._(r)))))));
-
-export const div = g('div', _l(l => _l(r => iif._(lt._(l)._(r))._(x00)._(inc._(div._(sub._(l)._(r))._(r))))));
-
-export const mod = g('mod', _l(l => _l(r => iif._(lt._(l)._(r))._(l)._(mod._(sub._(l)._(r))._(r)))));
-
-export const byte = g('byte', _l(n => n._(x00)._(_l(pn => inc._(byte._(pn))))));
-
-export const fromNumber: (n: number) => Term = n => !n ? x00 : Inc._(_(() => fromNumber(n - 1)));
-
-export const toNumber: (n: Term) => number = n => $n(snd._(n));

src/char.show.ts

@@ -1,7 +0,0 @@
-import { _l, g, n, pipe } from './core';
-import { singleton } from './list';
-import { fromString as _s, wrap } from './string';
-
-n('char.show');
-
-export const show = g('show', _l(c => pipe._(wrap._(_s('\'')))._(singleton)._(c)));

src/char.ts

@@ -1,12 +0,0 @@
-import { Term, g, n } from './core';
-import { toNumber as $n, fromNumber as _n, x00 } from './byte';
-
-n('char');
-
-export const Null = g('Null', x00);
-
-export { inc, dec, ifz as ifn, cmp, lt, le, eq, ge, gt, byte as char } from './byte';
-
-export const fromChar: (c: string) => Term = c => _n(c.charCodeAt(0));
-
-export const toChar: (c: Term) => string = c => String.fromCharCode($n(c));

src/core.ts

@@ -1,314 +0,0 @@
-import { withProfile as simpleWithProfile, withLog } from './debug';
-
-const withProfile = (term: Term, action: string, func: () => Term) => simpleWithProfile(
-  `${term.expression()}${term.cache ? ' [cached]' : ''}`,
-  {
-    cat: action,
-    id: term.id,
-    bindings: Object.fromEntries(Object.entries(term.bindings).map(([k, v]) => [k, v.toString()])),
-  },
-  func,
-);
-
-let index = 0;
-
-export abstract class Term {
-  public id = index++;
-  public cache: Term | null = null;
-
-  public constructor() { }
-
-  public refs(_name: string): boolean {
-    return false;
-  }
-
-  public bound(_name: string): boolean {
-    return false;
-  }
-
-  public get bindings(): Record<string, Term> {
-    return {};
-  }
-
-  public bind(_name: string, _term: Term): Term {
-    return this;
-  }
-
-  public reduce(): Term {
-    return this;
-  }
-
-  public context(): string {
-    return `#${this.id}${this.cache ? '<cached>' : ''}${!Object.keys(this.bindings).length ? '' : ` [${Object.keys(this.bindings).join(', ')}]`}`;
-  }
-
-  public expression(): string {
-    return this.constructor.name;
-  }
-
-  public stringify(): string {
-    return `${this.context()} ${this.expression()}`;
-  }
-
-  public _(arg: Term): Term {
-    return new Call(this, arg);
-  }
-
-  public toString(): string {
-    return this.expression();
-  }
-
-  public toJSON(): string {
-    return `<${this.expression()}>`;
-  }
-}
-
-export class Undef extends Term {
-  constructor() { super(); }
-
-  override reduce(): Term {
-    throw new Error('undef');
-  }
-}
-
-export class Native extends Term {
-  public constructor(
-    public value: any,
-  ) { super(); }
-
-  public override expression(): string {
-    return `\`${JSON.stringify(this.value)}\``;
-  }
-
-  public override stringify(): string {
-    return this.expression();
-  }
-}
-
-export class Deferred extends Term {
-  public constructor(
-    protected func: (bindings: Record<string, Term>) => Term,
-    protected _bindings: Record<string, Term> = {},
-  ) { super(); }
-
-  public override refs(_name: string): boolean {
-    return true;
-  }
-
-  public override bound(name: string): boolean {
-    return !!this._bindings[name];
-  }
-
-  public override get bindings(): Record<string, Term> {
-    return this._bindings;
-  }
-
-  public override bind(name: string, term: Term): Term {
-    return this.bound(name) || !this.refs(name)
-      ? this
-      : new Deferred(this.func, { ...this.bindings, [name]: term });
-  }
-
-  public override reduce(): Term {
-    return this.cache = withLog(
-      `Executing ${this.stringify()}`,
-      () => withProfile(
-        this,
-        'deferred',
-        () => this.cache ?? Object.entries(this.bindings).reduce((t, b) => t.bind(...b), this.func(this.bindings)).reduce(),
-      ),
-      r => `got ${r.stringify()}`,
-    );
-  }
-
-  public override expression(): string {
-    return '`deferred`';
-  }
-}
-
-export class Ref extends Term {
-  public constructor(
-    protected namespace: string,
-    protected name: string,
-    protected binding: Term | null = null,
-  ) { super(); }
-
-  public override refs(name: string): boolean {
-    return this.name === name;
-  }
-
-  public override bound(name: string): boolean {
-    return this.name === name && !!this.binding;
-  }
-
-  public override get bindings(): Record<string, Term> {
-    return this.binding ? { [this.name]: this.binding } : {};
-  }
-
-  public override bind(name: string, term: Term): Term {
-    return this.bound(name) || !this.refs(name)
-      ? this
-      : new Ref(this.namespace, this.name, term);
-  }
-
-  public override reduce(): Term {
-    return this.cache = withLog(
-      `Substituting ${this.stringify()}`,
-      () => withProfile(
-        this,
-        'deref',
-        () => this.cache ?? ((this.namespace === 'local' ? this.binding : globals[`${this.namespace}::${this.name}`]) ?? new Undef()).reduce(),
-      ),
-      r => `with ${r.stringify()}`,
-    );
-  }
-
-  public override expression(): string {
-    return this.name;
-  }
-}
-
-export class Lambda extends Term {
-  public constructor(resolve: (p: Ref) => Term);
-  public constructor(param: string, body: Term);
-  public constructor(
-    resolveOrParam: ((p: Ref) => Term) | string,
-    maybeBody?: Term,
-  ) {
-    super();
-    this._resolve = typeof resolveOrParam === 'function' ? resolveOrParam : () => new Undef();
-    this._param = typeof resolveOrParam === 'string' ? resolveOrParam : null;
-    this._body = maybeBody ?? null;
-  }
-
-  private _resolve: (p: Ref) => Term;
-  public get resolve(): (p: Ref) => Term {
-    return this._resolve;
-  }
-
-  private _param: string | null = null;
-  public get param(): string {
-    return this._param ??= this.resolve.toString().split(' ')[0];
-  }
-
-  private _body: Term | null = null;
-  public get body(): Term {
-    return this._body ??= this.resolve(new Ref('local', this.param));
-  }
-
-  public override refs(name: string): boolean {
-    return this.param !== name && this.body.refs(name);
-  }
-
-  public override bound(name: string): boolean {
-    return this.param !== name && this.body.bound(name);
-  }
-
-  public override get bindings(): Record<string, Term> {
-    return this.body.bindings;
-  }
-
-  public override bind(name: string, term: Term): Term {
-    return this.bound(name) || !this.refs(name)
-      ? this
-      : new Lambda(this.param, this.body.bind(name, term));
-  }
-
-  public override expression(): string {
-    return this.body instanceof Lambda
-      ? `\\ ${this.param} ${this.body.expression().slice(2)}`
-      : `\\ ${this.param} . ${this.body.expression()}`;
-  }
-}
-
-export class Call extends Term {
-  public constructor(
-    public func: Term,
-    public arg: Term,
-  ) { super(); }
-
-  public override refs(name: string): boolean {
-    return this.func.refs(name) || this.arg.refs(name);
-  }
-
-  public override bound(name: string): boolean {
-    return this.func.bound(name) || this.arg.bound(name);
-  }
-
-  override get bindings(): Record<string, Term> {
-    return { ...this.func.bindings, ...this.arg.bindings };
-  }
-
-  public override bind(name: string, term: Term): Term {
-    return this.bound(name) || !this.refs(name)
-      ? this
-      : new Call(this.func.bind(name, term), this.arg.bind(name, term));
-  }
-
-  public override reduce(): Term {
-    return this.cache = withLog(
-      `Reducing ${this.stringify()}`,
-      () => withProfile(
-        this,
-        'call',
-        () => {
-          if (this.cache) {
-            return this.cache;
-          }
-          const func = this.func.reduce();
-          if (!(func instanceof Lambda)) {
-            return new Undef();
-          }
-          return withLog(
-            `Binding ${this.arg.stringify()} to ${func.param}`,
-            () => simpleWithProfile(
-              `${func.param} = ${this.arg}`,
-              { cat: 'binding' },
-              () => func.body.bind(func.param, this.arg),
-            ),
-            r => `got ${r.stringify()}`,
-          ).reduce();
-        },
-      ),
-      r => `to ${r.stringify()}`,
-    );
-  }
-
-  public override expression(): string {
-    return `${this.func instanceof Lambda ? `(${this.func.expression()})` : this.func.expression()} ${this.arg instanceof Lambda || this.arg instanceof Call ? `(${this.arg.expression()})` : this.arg.expression()}`;
-  }
-}
-
-const globals: Record<string, Term> = {};
-
-let namespace: string = 'core';
-
-export const n = (name: string) => namespace = name;
-
-export const g = (name: string, term: Term) => {
-  const full = `${namespace}::${name}`;
-  if (globals[full]) {
-    throw new Error(`Duplicate global: "${full}"`);
-  }
-  globals[full] = term;
-  return new Ref(namespace, name);
-};
-
-export const _l = (f: (p: Ref) => Term) => new Lambda(f);
-
-type Deferedify = {
-  (value: (bindings: Record<string, Term>) => Term): Deferred
-  (value: boolean | number | string | object): Native
-};
-
-export const _: Deferedify = ((value: any) => typeof value === 'function' ? new Deferred(value) : new Native(value)) as Deferedify;
-export const $ = <T>(t: Term): T => {
-  const rt = t.reduce();
-  return rt instanceof Native ? rt.value : rt.stringify();
-};
-
-export const undef = g('undef', new Undef());
-
-export const id = g('id', _l(f => f));
-export const cnst = g('cnst', _l(x => _l(_ => x)));
-export const pipe = g('pipe', _l(f => _l(g => _l(x => f._(g._(x))))));

src/data/gpu/gpu-struct.ts

@@ -0,0 +1,301 @@
+import fs from 'node:fs';
+import type { Scalar } from './scalar';
+
+interface ComputePipeline {
+  pipeline: GPUComputePipeline;
+  layout: GPUBindGroupLayout;
+}
+
+const PIPELINES: Map<GPUDevice, Map<string, ComputePipeline>> = new Map();
+
+const COMPWISE_SHADER = {
+  sum: fs.readFileSync('shader/csum.wgsl').toString(),
+  sub: fs.readFileSync('shader/csub.wgsl').toString(),
+  mul: fs.readFileSync('shader/cmul.wgsl').toString(),
+  div: fs.readFileSync('shader/cdiv.wgsl').toString(),
+  scale: fs.readFileSync('shader/cscale.wgsl').toString(),
+};
+
+export function createComputePipeline(
+  device: GPUDevice,
+  name: string,
+  shader: () => string,
+  entry: string = 'main',
+) {
+  if (!PIPELINES.has(device)) {
+    PIPELINES.set(device, new Map());
+  }
+
+  const d = PIPELINES.get(device)!;
+  if (!d.has(name)) {
+    const pipeline = device.createComputePipeline({
+      label: name,
+      layout: 'auto',
+      compute: {
+        module: device.createShaderModule({ code: shader() }),
+        entryPoint: entry,
+      },
+    });
+    const layout = pipeline.getBindGroupLayout(0);
+
+    d.set(name, { pipeline, layout });
+  }
+
+  return d.get(name)!;
+}
+
+export abstract class GPUStruct<A extends Uint32Array | Int32Array | Float32Array> {
+  public static dunit = 8;
+  public static lunit = 2;
+
+  protected readonly _label: string;
+  protected readonly _device: GPUDevice;
+  protected readonly _array: new (size: number | ArrayBufferLike | ArrayLike<number>) => A;
+  protected readonly _inbuffer: GPUBuffer;
+  protected readonly _dummybuffer: GPUBuffer;
+  protected readonly _outbuffer: GPUBuffer;
+  protected _op: 'reading' | 'writing' | null = null;
+  protected _dirty: 'front' | 'back' | null = 'front';
+
+  protected abstract workgroups(pm?: number): [number, number, number];
+  protected abstract workgroup(): [number, number, number];
+
+  public readonly size: Int32Array;
+  public readonly data: A;
+
+  public get type(): 'u32' | 'i32' | 'f32' {
+    switch (this._array as unknown) {
+      case Uint32Array: return 'u32';
+      case Int32Array: return 'i32';
+      case Float32Array: return 'f32';
+      default: throw new Error('Unknown array type.');
+    }
+  }
+
+  public get length(): number {
+    return this.data.length;
+  }
+
+  public get byteLength(): number {
+    return this.size.byteLength + this.data.byteLength;
+  }
+
+  public constructor(
+    device: GPUDevice,
+    array: new (size: number) => A,
+    label: string,
+    size: [number, number, number, number],
+  ) {
+    this._device = device;
+    this._array = array;
+    this._label = label ?? 'struct';
+    this.size = new Int32Array(size);
+    this.data = new array(size[0] * size[1] * size[2] * size[3]);
+
+    this._inbuffer = device.createBuffer({
+      label: `${this._label}in`,
+      size: Math.max(32, this.byteLength),
+      usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST,
+    });
+
+    this._dummybuffer = device.createBuffer({
+      label: `${label}dummy`,
+      size: 0,
+      usage: GPUBufferUsage.STORAGE | GPUBufferUsage.COPY_SRC | GPUBufferUsage.COPY_DST,
+    });
+
+    this._outbuffer = this._device.createBuffer({
+      label: `${label}out`,
+      size: Math.max(32, this.byteLength),
+      usage: GPUBufferUsage.COPY_DST | GPUBufferUsage.MAP_READ,
+    });
+  }
+
+  public write(): void {
+    if (!this._dirty) {
+      return;
+    }
+
+    if (this._op) {
+      throw new Error('Sync in progress.');
+    }
+
+    this._op = 'writing';
+    this._device.queue.writeBuffer(this._inbuffer, 0, new Uint8Array(this.size.buffer));
+    this._device.queue.writeBuffer(this._inbuffer, this.size.byteLength, new Uint8Array(this.data.buffer));
+    this._dirty = null;
+    this._op = null;
+  }
+
+  public async read(): Promise<void> {
+    if (!this._dirty) {
+      return;
+    }
+
+    if (this._op) {
+      throw new Error('Sync in progress.');
+    }
+
+    this._op = 'reading';
+
+    const copy = this._device.createCommandEncoder();
+    copy.copyBufferToBuffer(this._inbuffer, 0, this._outbuffer, 0, this.byteLength);
+    this._device.queue.submit([copy.finish()]);
+
+    await this._device.queue.onSubmittedWorkDone();
+
+    await this._outbuffer.mapAsync(GPUMapMode.READ);
+    this.data.set(new this._array(this._outbuffer.getMappedRange()).slice(this.size.length));
+    this._outbuffer.unmap();
+    this._dirty = null;
+    this._op = null;
+  }
+
+  public buffer(): GPUBuffer {
+    if (this._dirty === 'front') {
+      this.write();
+    }
+    return this._inbuffer;
+  }
+
+  protected workgroupify(shader: string): string {
+    const [x, y, z] = this.workgroup();
+    if (!x || !y || !z) {
+      throw new Error(`Invalid workgroup size: (${x}, ${y}, ${z}).`);
+    }
+    return shader.replace(/@workgroup_size\(.*?\)/g, `@workgroup_size(${x}, ${y}, ${z})`);
+  }
+
+  protected inplacify(shader: string): string {
+    let r = '';
+    return shader.replace(/\w+_or_result/g, v => r = r ? 'result' : v); // The first occurrence must be the declaration.
+  }
+
+  protected typify(shader: string): string {
+    return shader.replace(/alias number = .+?;/g, `alias number = ${this.type};`);
+  }
+
+  public calculate(
+    name: string,
+    shader: string,
+    args: GPUStruct<Uint32Array | Int32Array | Float32Array>[],
+    ip = false,
+    pm = 1,
+  ): typeof this {
+    const encoder = this._device.createCommandEncoder();
+    const pass = encoder.beginComputePass();
+    const { pipeline, layout } = createComputePipeline(this._device, `${name}${ip ? '_inplace_' : '_'}${this.type}`, () => this.workgroupify(this.typify(ip ? this.inplacify(shader) : shader)));
+
+    pass.setPipeline(pipeline);
+    pass.setBindGroup(0, this._device.createBindGroup({
+      layout, entries: [
+        ...args.map((s, i) => ({ binding: i, resource: { buffer: s.buffer() } })),
+        { binding: args.length + +ip, resource: { buffer: this.buffer() } },
+      ],
+    }));
+
+    const [x, y, z] = this.workgroups(pm);
+    if (!x || !y || !z || Math.floor(x) !== x || Math.floor(y) !== y || Math.floor(z) !== z) {
+      throw new Error(`Invalid workgroup count: (${x}, ${y}, ${z}).`);
+    }
+    pass.dispatchWorkgroups(x, y, z);
+    pass.end();
+
+    this._device.queue.submit([encoder.finish()]);
+
+    this._dirty = 'back';
+
+    return this;
+  }
+
+  protected static assertUnique(...ms: GPUStruct<Uint32Array | Int32Array | Float32Array>[]): void {
+    const map: Map<GPUStruct<Uint32Array | Int32Array | Float32Array>, boolean> = new Map();
+    for (const m of ms) {
+      if (map.has(m)) {
+        throw new Error('Can not use the same GPU structure multiple times.');
+      }
+      map.set(m, true);
+    }
+  }
+
+  protected static assertColocated(...ms: GPUStruct<Uint32Array | Int32Array | Float32Array>[]): void {
+    const map: Map<GPUDevice, boolean> = new Map();
+    for (const m of ms) {
+      map.set(m._device, true);
+      if (map.size > 1) {
+        throw new Error('Can not use GPU structures stored on multiple devices.');
+      }
+    }
+  }
+
+  protected static assertSimilar(...ms: GPUStruct<Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.length !== ms[0].length
+        || m.workgroup()[0] !== ms[0].workgroup()[0]
+        || m.workgroup()[1] !== ms[0].workgroup()[1]
+        || m.workgroup()[2] !== ms[0].workgroup()[2]) {
+        throw new Error('Can not use GPU structures with different dimensions.');
+      }
+    }
+  }
+
+  protected static assertPackable(pm: number, ...ms: GPUStruct<Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.workgroups(pm).some(v => v < 1)) {
+        throw new Error(`Struct ${m._label} size must be divisible by ${pm}.`);
+      }
+    }
+  }
+
+  public static compwise<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(op: keyof typeof COMPWISE_SHADER, l: S, r: S, result: S): S {
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(4, l, r, result);
+
+    return result.calculate(op, COMPWISE_SHADER[op], result === r ? [l] : [l, r], result === r, 4);
+  }
+
+  public static csum<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(l: S, r: S, result: S): S {
+    return GPUStruct.compwise('sum', l, r, result);
+  }
+
+  public static csub<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(l: S, r: S, result: S): S {
+    return GPUStruct.compwise('sub', l, r, result);
+  }
+
+  public static cmul<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(l: S, r: S, result: S): S {
+    return GPUStruct.compwise('mul', l, r, result);
+  }
+
+  public static cdiv<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(l: S, r: S, result: S): S {
+    return GPUStruct.compwise('div', l, r, result);
+  }
+
+  public static cscale<
+    A extends Uint32Array | Int32Array | Float32Array,
+    S extends GPUStruct<A>,
+  >(l: Scalar<A>, r: S, result: S): S {
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(4, r, result);
+
+    return result.calculate('scale', COMPWISE_SHADER.scale, result === r ? [l] : [l, r], result === r, 4);
+  }
+}

src/data/gpu/matrix-batch.ts

@@ -0,0 +1,289 @@
+import fs from 'node:fs';
+import { Matrix as CPUMatrix, Vector as CPUVector } from '../math';
+import { GPUStruct } from './gpu-struct';
+import { Matrix } from './matrix';
+import { ScalarBatch } from './scalar-batch';
+import { VectorBatch } from './vector-batch';
+
+const SHADER_SCALE = fs.readFileSync('shader/bscale.wgsl').toString();
+const SHADER_ISUM = fs.readFileSync('shader/isum.wgsl').toString();
+const SHADER_MUL = fs.readFileSync('shader/mul.wgsl').toString();
+const SHADER_TRANS = fs.readFileSync('shader/transpose.wgsl').toString();
+const SHADER_AVG = fs.readFileSync('shader/avg.wgsl').toString();
+const SHADER_TOT = fs.readFileSync('shader/tot.wgsl').toString();
+
+export class MatrixBatch<
+  L extends number,
+  H extends number,
+  W extends number,
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  public get width(): W {
+    return this.size[0] as W;
+  }
+
+  public get height(): H {
+    return this.size[1] as H;
+  }
+
+  public get layers(): L {
+    return this.size[2] as L;
+  }
+
+  protected override workgroups(pm: number = 1): [number, number, number] {
+    return [this.width / GPUStruct.dunit / pm, this.height / GPUStruct.dunit, this.layers / MatrixBatch.lunit];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [GPUStruct.dunit, GPUStruct.dunit, MatrixBatch.lunit];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data: CPUVector<L, CPUMatrix<H, W, T>>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, l: L, h: H, w: W, data?: CPUVector<L, CPUMatrix<H, W, T>>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, ...args: unknown[]) {
+    let [l, h, w]: [number, number, number] = [1, 1, 1];
+    if (typeof args[0] === 'number') {
+      [l, h, w] = args as [L, H, W];
+    } else {
+      const [data] = args as [CPUVector<L, CPUMatrix<H, W, T>>];
+      [l, h, w] = [data.length, data[0].length, data[0][0].length, 1];
+    }
+
+    super(device, array, `${h}x${w}[${l}]`, [w, h, l, 1]);
+
+    MatrixBatch.assertPackable(1, this);
+
+    const data = (typeof args[0] === 'number' ? args[3] : args[0]) as CPUVector<L, CPUMatrix<H, W, T>> | undefined;
+    if (data) {
+      this.set(data);
+    }
+  }
+
+  public index(l: number, y: number, x: number): number {
+    return (l * this.height + y) * this.width + x;
+  }
+
+  public async set(y: number, x: number, v: T): Promise<void>;
+  public async set(data: CPUVector<L, CPUMatrix<H, W, T>>): Promise<void>;
+  public async set(slice: T[][][], ob?: number, oy?: number, ox?: number): Promise<void>;
+  public async set(m: MatrixBatch<L, H, W, A, T>): Promise<void>;
+  public async set(...args: unknown[]): Promise<void> {
+    if (typeof args[0] === 'number') {
+      const [l, y, x, v]: number[] = args as number[];
+
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[this.index(l, y, x)] = v;
+      this._dirty = 'front';
+    } else if (Array.isArray(args[0])) {
+      const [data, ol = 0, oy = 0, ox = 0] = args as [T[][][], number | undefined, number | undefined, number | undefined];
+
+      if (this._dirty === 'back' && (ol || oy || ox || data.length < this.layers || data[0].length < this.height || data[0][0].length < this.width)) {
+        await this.read();
+      }
+
+      let l = ol;
+      let y = oy;
+      let x = ox;
+      for (const mat of data ?? []) {
+        if (l >= this.layers) {
+          break;
+        }
+        for (const row of mat ?? []) {
+          if (y >= this.height) {
+            break;
+          }
+          for (const v of row) {
+            if (x >= this.width) {
+              break;
+            }
+            this.data[this.index(l, y, x)] = v;
+            x++;
+          }
+          x = ox;
+          y++;
+        }
+        y = oy;
+        l++;
+      }
+      this._dirty = 'front';
+    } else {
+      const [batch] = args as [MatrixBatch<L, H, W, A, T>];
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(batch.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(l: number, y: number, x: number): Promise<T>;
+  public async get(l: number): Promise<CPUMatrix<H, W, T>>;
+  public async get(): Promise<CPUVector<L, CPUMatrix<H, W, T>>>;
+  public async get(l?: number, y?: number, x?: number): Promise<T | CPUMatrix<H, W, T> | CPUVector<L, CPUMatrix<H, W, T>>> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    if (typeof x === 'number') {
+      return this.data[this.index(l!, y!, x!)] as T;
+    } else if (typeof l === 'number') {
+      const result: CPUMatrix<H, W, T> = [] as unknown as CPUMatrix<H, W, T>;
+      for (let y: number = 0; y < this.height; y++) {
+        const row: CPUVector<W, T> = [] as unknown as CPUVector<W, T>;
+        for (let x: number = 0; x < this.width; x++) {
+          row.push(this.data[this.index(l, y, x)] as T);
+        }
+        result.push(row);
+      }
+      return result;
+    } else {
+      const result: CPUVector<L, CPUMatrix<H, W, T>> = [] as unknown as CPUVector<L, CPUMatrix<H, W, T>>;
+      for (let l: number = 0; l < this.layers; l++) {
+        const layer: CPUMatrix<H, W, T> = [] as unknown as CPUMatrix<H, W, T>;
+        for (let y: number = 0; y < this.height; y++) {
+          const row: CPUVector<W, T> = [] as unknown as CPUVector<W, T>;
+          for (let x: number = 0; x < this.width; x++) {
+            row.push(this.data[this.index(l, y, x)] as T);
+          }
+          layer.push(row);
+        }
+        result.push(layer);
+      }
+      return result;
+    }
+  }
+
+  protected static override assertPackable(pm: number, ...ms: MatrixBatch<number, number, number, Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.layers % MatrixBatch.lunit !== 0 || m.height % MatrixBatch.dunit !== 0 || m.width % (MatrixBatch.dunit * pm) !== 0) {
+        throw new Error(`Batch size ${m.height}x${m.width}[${m.layers}] must be divisible by ${MatrixBatch.dunit}x${MatrixBatch.dunit * pm}[${MatrixBatch.lunit}].`);
+      }
+    }
+  }
+
+  public static sum<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: MatrixBatch<L, H, W, A, T>, r: MatrixBatch<L, H, W, A, T>, result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(l._device, l._array, l.layers, l.height, l.width)): MatrixBatch<L, H, W, A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: MatrixBatch<L, H, W, A, T>, r: MatrixBatch<L, H, W, A, T>, result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(l._device, l._array, l.layers, l.height, l.width)): MatrixBatch<L, H, W, A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static isum<
+    L extends number,
+    H extends number,
+    I extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    lis: VectorBatch<L, I, Int32Array>,
+    m: MatrixBatch<L, H, W, A, T>,
+    result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(m._device, m._array, m.layers, m.height, m.width),
+  ): MatrixBatch<L, H, W, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m, result);
+
+    return result.calculate('isum', SHADER_ISUM, [lis, m], false, 4);
+  }
+
+  public static scale<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: MatrixBatch<L, H, W, A, T>, result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(r._device, r._array, r.layers, r.height, r.width)): MatrixBatch<L, H, W, A, T> {
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(4, r, result);
+
+    return result.calculate('scale', SHADER_SCALE, result === r ? [l] : [l, r], result === r, 4);
+  }
+
+  public static mul<
+    L extends number,
+    H extends number,
+    S extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    l: MatrixBatch<L, H, S, A, T>,
+    r: MatrixBatch<L, S, W, A, T>,
+    result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(l._device, l._array, l.layers, l.height, r.width),
+  ): MatrixBatch<L, H, W, A, T> {
+    this.assertUnique(l, r, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(1, l, r, result);
+
+    return result.calculate('mul', SHADER_MUL, [l, r]);
+  }
+
+  public static transpose<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: MatrixBatch<L, H, W, A, T>,
+    result: MatrixBatch<L, W, H, A, T> = new MatrixBatch(m._device, m._array, m.layers, m.width, m.height),
+  ): MatrixBatch<L, W, H, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(1, m, result);
+
+    return result.calculate('transpose', SHADER_TRANS, [m]);
+  }
+
+  public static avg<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: MatrixBatch<L, H, W, A, T>,
+    result: Matrix<H, W, A, T> = new Matrix(m._device, m._array, m.height, m.width),
+  ): Matrix<H, W, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('avg', SHADER_AVG, [m], false, 4);
+  }
+
+  public static tot<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: MatrixBatch<L, H, W, A, T>,
+    result: Matrix<H, W, A, T> = new Matrix(m._device, m._array, m.height, m.width),
+  ): Matrix<H, W, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('tot', SHADER_TOT, [m], false, 4);
+  }
+}

src/data/gpu/matrix.ts

@@ -0,0 +1,233 @@
+import fs from 'node:fs';
+import { Matrix as CPUMatrix, Vector as CPUVector } from '../math';
+import { GPUStruct } from './gpu-struct';
+import { MatrixBatch } from './matrix-batch';
+import { Scalar } from './scalar';
+import { Vector } from './vector';
+
+const SHADER_ISUM = fs.readFileSync('shader/isum.wgsl').toString();
+const SHADER_MUL = fs.readFileSync('shader/mul.wgsl').toString();
+const SHADER_TRANS = fs.readFileSync('shader/transpose.wgsl').toString();
+const SHADER_UNAVG = fs.readFileSync('shader/unavg.wgsl').toString();
+
+export class Matrix<
+  H extends number,
+  W extends number,
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  public get width(): W {
+    return this.size[0] as W;
+  }
+
+  public get height(): H {
+    return this.size[1] as H;
+  }
+
+  protected override workgroups(pm: number = 1): [number, number, number] {
+    return [this.width / GPUStruct.dunit / pm, this.height / GPUStruct.dunit, 1];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [GPUStruct.dunit, GPUStruct.dunit, 1];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data: CPUMatrix<H, W, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, h: H, w: W, data?: CPUMatrix<H, W, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, ...args: unknown[]) {
+    let [h, w]: [number, number] = [1, 1];
+    if (typeof args[0] === 'number') {
+      [h, w] = args as [H, W];
+    } else {
+      const [data] = args as [CPUMatrix<H, W, T>];
+      [h, w] = [data.length, data[0].length];
+    }
+
+    super(device, array, `${h}x${w}`, [w, h, 1, 1]);
+
+    Matrix.assertPackable(1, this);
+
+    const data = (typeof args[0] === 'number' ? args[2] : args[0]) as CPUMatrix<H, W, T> | undefined;
+    if (data) {
+      this.set(data);
+    }
+  }
+
+  public index(y: number, x: number): number {
+    return y * this.width + x;
+  }
+
+  public async set(y: number, x: number, v: T): Promise<void>;
+  public async set(data: CPUMatrix<H, W, T>): Promise<void>;
+  public async set(slice: T[][], oy?: number, ox?: number): Promise<void>;
+  public async set(m: Matrix<H, W, A, T>): Promise<void>;
+  public async set(...args: unknown[]): Promise<void> {
+    if (typeof args[0] === 'number') {
+      const [y, x, v]: number[] = args as number[];
+
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[this.index(y, x)] = v;
+      this._dirty = 'front';
+    } else if (Array.isArray(args[0])) {
+      const [data, oy = 0, ox = 0] = args as [T[][], number | undefined, number | undefined];
+
+      if (this._dirty === 'back' && (oy || ox || data.length < this.height || data[0].length < this.width)) {
+        await this.read();
+      }
+
+      let y = oy;
+      let x = ox;
+      for (const row of data ?? []) {
+        if (y >= this.height) {
+          break;
+        }
+        for (const v of row) {
+          if (x >= this.width) {
+            break;
+          }
+          this.data[this.index(y, x)] = v;
+          x++;
+        }
+        x = ox;
+        y++;
+      }
+      this._dirty = 'front';
+    } else {
+      const [matrix] = args as [Matrix<H, W, A, T>];
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(matrix.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(y: number, x: number): Promise<T>;
+  public async get(): Promise<CPUMatrix<H, W, T>>;
+  public async get(y?: number, x?: number): Promise<T | CPUMatrix<H, W, T>> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    if (typeof x === 'number') {
+      return this.data[this.index(y!, x!)] as T;
+    } else {
+      const result: CPUMatrix<H, W, T> = [] as unknown as CPUMatrix<H, W, T>;
+      for (let y: number = 0; y < this.height; y++) {
+        const row: CPUVector<W, T> = [] as unknown as CPUVector<W, T>;
+        for (let x: number = 0; x < this.width; x++) {
+          row.push(this.data[this.index(y, x)] as T);
+        }
+        result.push(row);
+      }
+      return result;
+    }
+  }
+
+  protected static override assertPackable(pm: number, ...ms: Matrix<number, number, Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.height % Matrix.dunit !== 0 || m.width % (Matrix.dunit * pm) !== 0) {
+        throw new Error(`Matrix size ${m.height}x${m.width} must be divisible by ${Matrix.dunit}x${Matrix.dunit * pm}.`);
+      }
+    }
+  }
+
+  public static sum<
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Matrix<H, W, A, T>, r: Matrix<H, W, A, T>, result: Matrix<H, W, A, T> = new Matrix(l._device, l._array, l.height, l.width)): Matrix<H, W, A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    H extends number,
+    W extends number,
+
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Matrix<H, W, A, T>, r: Matrix<H, W, A, T>, result: Matrix<H, W, A, T> = new Matrix(l._device, l._array, l.height, l.width)): Matrix<H, W, A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static isum<
+    H extends number,
+    I extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    lis: Vector<I, Int32Array>,
+    m: Matrix<H, W, A, T>,
+    result: Matrix<H, W, A, T> = new Matrix(m._device, m._array, m.height, m.width),
+  ): Matrix<H, W, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m, result);
+
+    return result.calculate('isum', SHADER_ISUM, [lis, m], false, 4);
+  }
+
+  public static scale<
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Matrix<H, W, A, T>, result: Matrix<H, W, A, T> = new Matrix(r._device, r._array, r.height, r.width)): Matrix<H, W, A, T> {
+    return GPUStruct.cscale(l, r, result);
+  }
+
+  public static mul<
+    H extends number,
+    S extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    l: Matrix<H, S, A, T>,
+    r: Matrix<S, W, A, T>,
+    result: Matrix<H, W, A, T> = new Matrix(l._device, l._array, l.height, r.width),
+  ): Matrix<H, W, A, T> {
+    this.assertUnique(l, r, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(1, l, r, result);
+
+    return result.calculate('mul', SHADER_MUL, [l, r]);
+  }
+
+  public static transpose<
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: Matrix<H, W, A, T>,
+    result: Matrix<W, H, A, T> = new Matrix(m._device, m._array, m.width, m.height),
+  ): Matrix<W, H, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(1, m, result);
+
+    return result.calculate('transpose', SHADER_TRANS, [m]);
+  }
+
+  public static unavg<
+    L extends number,
+    H extends number,
+    W extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    l: L,
+    m: Matrix<H, W, A, T>,
+    result: MatrixBatch<L, H, W, A, T> = new MatrixBatch(m._device, m._array, l, m.height, m.width),
+  ): MatrixBatch<L, H, W, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('unavg', SHADER_UNAVG, [m], false, 4);
+  }
+}

src/data/gpu/scalar-batch.ts

@@ -0,0 +1,176 @@
+import fs from 'node:fs';
+import { Vector as CPUVector } from '../math';
+import { GPUStruct } from './gpu-struct';
+import { Scalar } from './scalar';
+
+const SHADER_AVG = fs.readFileSync('shader/avg.wgsl').toString();
+const SHADER_TOT = fs.readFileSync('shader/tot.wgsl').toString();
+
+export class ScalarBatch<
+  L extends number,
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  public get layers(): L {
+    return this.size[2] as L;
+  }
+
+  protected override workgroups(): [number, number, number] {
+    return [1, 1, this.layers / GPUStruct.lunit];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [1, 1, GPUStruct.lunit];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data: CPUVector<L, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, l: L, data?: CPUVector<L, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, ...args: unknown[]) {
+    const l: number = typeof args[0] === 'number'
+      ? args[0] as L
+      : (args[0] as CPUVector<L, T>).length;
+
+    super(device, array, `[${l}]`, [1, 1, l, 1]);
+
+    ScalarBatch.assertPackable(1, this);
+
+    const data = (typeof args[0] === 'number' ? args[1] : args[0]) as CPUVector<L, T> | undefined;
+    if (data) {
+      this.set(data);
+    }
+  }
+
+  public async set(l: number, v: T): Promise<void>;
+  public async set(data: CPUVector<L, T>): Promise<void>;
+  public async set(slice: T[], ol?: number): Promise<void>;
+  public async set(b: ScalarBatch<L, A, T>): Promise<void>;
+  public async set(...args: unknown[]): Promise<void> {
+    if (typeof args[0] === 'number') {
+      const [l, v]: number[] = args as number[];
+
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[l] = v;
+      this._dirty = 'front';
+    } else if (Array.isArray(args[0])) {
+      const [data, ol = 0] = args as [T[], number | undefined];
+
+      if (this._dirty === 'back' && (ol || data.length < this.layers)) {
+        await this.read();
+      }
+
+      let l = ol;
+      for (const v of data ?? []) {
+        if (l >= this.layers) {
+          break;
+        }
+        this.data[l] = v;
+        l++;
+      }
+      this._dirty = 'front';
+    } else {
+      const [batch] = args as [ScalarBatch<L, A, T>];
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(batch.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(l: number): Promise<T>;
+  public async get(): Promise<CPUVector<L, T>>;
+  public async get(l?: number): Promise<T | CPUVector<L, T>> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    if (typeof l === 'number') {
+      return this.data[l] as T;
+    } else {
+      const result: CPUVector<L, T> = [] as unknown as CPUVector<L, T>;
+      for (let l: number = 0; l < this.layers; l++) {
+        result.push(this.data[l] as T);
+      }
+      return result;
+    }
+  }
+
+  protected static override assertPackable(_: number, ...ms: ScalarBatch<number, Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.layers % ScalarBatch.dunit !== 0) {
+        throw new Error(`Batch size [${m.layers}] must be divisible by [${ScalarBatch.dunit}].`);
+      }
+    }
+  }
+
+  public static sum<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: ScalarBatch<L, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(l._device, l._array, l.layers)): ScalarBatch<L, A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: ScalarBatch<L, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(l._device, l._array, l.layers)): ScalarBatch<L, A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static mul<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: ScalarBatch<L, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(l._device, l._array, l.layers)): ScalarBatch<L, A, T> {
+    return GPUStruct.cmul(l, r, result);
+  }
+
+  public static div<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: ScalarBatch<L, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(l._device, l._array, l.layers)): ScalarBatch<L, A, T> {
+    return GPUStruct.cdiv(l, r, result);
+  }
+
+  public static scale<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: ScalarBatch<L, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(r._device, r._array, r.layers)): ScalarBatch<L, A, T> {
+    return GPUStruct.cscale(l, r, result);
+  }
+
+  public static avg<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: ScalarBatch<L, A, T>,
+    result: Scalar<A, T> = new Scalar(m._device, m._array),
+  ): Scalar<A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('avg', SHADER_AVG, [m], false, 4);
+  }
+
+  public static tot<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: ScalarBatch<L, A, T>,
+    result: Scalar<A, T> = new Scalar(m._device, m._array),
+  ): Scalar<A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('tot', SHADER_TOT, [m], false, 4);
+  }
+}

src/data/gpu/scalar.ts

@@ -0,0 +1,90 @@
+import fs from 'node:fs';
+import { GPUStruct } from './gpu-struct';
+import { ScalarBatch } from './scalar-batch';
+
+const SHADER_UNAVG = fs.readFileSync('shader/unavg.wgsl').toString();
+
+export class Scalar<
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  protected override workgroups(): [number, number, number] {
+    return [1, 1, 1];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [1, 1, 1];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data?: T) {
+    super(device, array, 'scalar', [1, 1, 1, 1]);
+    this.set(data || 0 as T);
+  }
+
+  public async set(v: T | Scalar<A, T>): Promise<void> {
+    if (typeof v === 'number') {
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[0] = v;
+      this._dirty = 'front';
+    } else {
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(v.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(): Promise<T> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    return this.data[0] as T;
+  }
+
+  public static sum<
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Scalar<A, T>, result: Scalar<A, T> = new Scalar(l._device, l._array)): Scalar<A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Scalar<A, T>, result: Scalar<A, T> = new Scalar(l._device, l._array)): Scalar<A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static mul<
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Scalar<A, T>, result: Scalar<A, T> = new Scalar(l._device, l._array)): Scalar<A, T> {
+    return GPUStruct.cmul(l, r, result);
+  }
+
+  public static div<
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Scalar<A, T>, result: Scalar<A, T> = new Scalar(l._device, l._array)): Scalar<A, T> {
+    return GPUStruct.cdiv(l, r, result);
+  }
+
+  public static unavg<
+    L extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    l: L,
+    m: Scalar<A, T>,
+    result: ScalarBatch<L, A, T> = new ScalarBatch(m._device, m._array, l),
+  ): ScalarBatch<L, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('unavg', SHADER_UNAVG, [m], false, 4);
+  }
+}

src/data/gpu/vector-batch.ts

@@ -0,0 +1,221 @@
+import fs from 'node:fs';
+import { Vector as CPUVector } from '../math';
+import { GPUStruct } from './gpu-struct';
+import { ScalarBatch } from './scalar-batch';
+import { Vector } from './vector';
+
+const SHADER_AVG = fs.readFileSync('shader/avg.wgsl').toString();
+const SHADER_TOT = fs.readFileSync('shader/tot.wgsl').toString();
+const SHADER_SCALE = fs.readFileSync('shader/bscale.wgsl').toString();
+const SHADER_DOT = fs.readFileSync('shader/mul.wgsl').toString();
+
+export class VectorBatch<
+  L extends number,
+  D extends number,
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  public get dims(): D {
+    return this.size[0] as D;
+  }
+
+  public get layers(): L {
+    return this.size[2] as L;
+  }
+
+  protected override workgroups(pm: number = 1): [number, number, number] {
+    return [this.dims / GPUStruct.dunit / pm, 1, this.layers / GPUStruct.lunit];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [GPUStruct.dunit, 1, GPUStruct.lunit];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data: CPUVector<L, CPUVector<D, T>>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, l: L, d: D, data?: CPUVector<L, CPUVector<D, T>>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, ...args: unknown[]) {
+    let [l, d]: [number, number] = [1, 1];
+    if (typeof args[0] === 'number') {
+      [l, d] = args as [L, D];
+    } else {
+      const [data] = args as [CPUVector<L, CPUVector<D, T>>];
+      [l, d] = [data.length, data[0].length];
+    }
+
+    super(device, array, `${d}[${l}]`, [d, 1, l, 1]);
+
+    VectorBatch.assertPackable(1, this);
+
+    const data = (typeof args[0] === 'number' ? args[2] : args[0]) as CPUVector<L, CPUVector<D, T>> | undefined;
+    if (data) {
+      this.set(data);
+    }
+  }
+
+  public index(l: number, i: number): number {
+    return l * this.dims + i;
+  }
+
+  public async set(l: number, i: number, v: T): Promise<void>;
+  public async set(data: CPUVector<L, CPUVector<D, T>>): Promise<void>;
+  public async set(slice: T[][], ol?: number, oi?: number): Promise<void>;
+  public async set(b: VectorBatch<L, D, A, T>): Promise<void>;
+  public async set(...args: unknown[]): Promise<void> {
+    if (typeof args[0] === 'number') {
+      const [l, i, v]: number[] = args as number[];
+
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[this.index(l, i)] = v;
+      this._dirty = 'front';
+    } else if (Array.isArray(args[0])) {
+      const [data, ol = 0, oi = 0] = args as [T[][], number | undefined, number | undefined];
+
+      if (this._dirty === 'back' && (ol || oi || data.length < this.layers || data[0].length < this.dims)) {
+        await this.read();
+      }
+
+      let l = ol;
+      let i = oi;
+      for (const vec of data ?? []) {
+        if (l >= this.layers) {
+          break;
+        }
+        for (const v of vec) {
+          if (i >= this.dims) {
+            break;
+          }
+          this.data[this.index(l, i)] = v;
+          i++;
+        }
+        i = oi;
+        l++;
+      }
+      this._dirty = 'front';
+    } else {
+      const [batch] = args as [VectorBatch<L, D, A, T>];
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(batch.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(l: number, i: number): Promise<T>;
+  public async get(l: number): Promise<CPUVector<D, T>>;
+  public async get(): Promise<CPUVector<L, CPUVector<D, T>>>;
+  public async get(l?: number, i?: number): Promise<T | CPUVector<D, T> | CPUVector<L, CPUVector<D, T>>> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    if (typeof i === 'number') {
+      return this.data[this.index(l!, i!)] as T;
+    } else if (typeof l === 'number') {
+      const result: CPUVector<D, T> = [] as unknown as CPUVector<D, T>;
+      for (let i: number = 0; i < this.dims; i++) {
+        result.push(this.data[this.index(l, i)] as T);
+      }
+      return result;
+    } else {
+      const result: CPUVector<L, CPUVector<D, T>> = [] as unknown as CPUVector<L, CPUVector<D, T>>;
+      for (let l: number = 0; l < this.layers; l++) {
+        const vec: CPUVector<D, T> = [] as unknown as CPUVector<D, T>;
+        for (let i: number = 0; i < this.dims; i++) {
+          vec.push(this.data[this.index(l, i)] as T);
+        }
+        result.push(vec);
+      }
+      return result;
+    }
+  }
+
+  protected static override assertPackable(pm: number, ...ms: VectorBatch<number, number, Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.layers % VectorBatch.lunit !== 0 || m.dims % (VectorBatch.dunit * pm) !== 0) {
+        throw new Error(`Batch size ${m.dims}[${m.layers}] must be divisible by ${VectorBatch.dunit * pm}[${VectorBatch.lunit}].`);
+      }
+    }
+  }
+
+  public static sum<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: VectorBatch<L, D, A, T>, r: VectorBatch<L, D, A, T>, result: VectorBatch<L, D, A, T> = new VectorBatch(l._device, l._array, l.layers, l.dims)): VectorBatch<L, D, A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: VectorBatch<L, D, A, T>, r: VectorBatch<L, D, A, T>, result: VectorBatch<L, D, A, T> = new VectorBatch(l._device, l._array, l.layers, l.dims)): VectorBatch<L, D, A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static mul<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: ScalarBatch<L, A, T>, r: VectorBatch<L, D, A, T>, result: VectorBatch<L, D, A, T> = new VectorBatch(r._device, r._array, r.layers, r.dims)): VectorBatch<L, D, A, T> {
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    this.assertPackable(4, r, result);
+
+    return result.calculate('scale', SHADER_SCALE, result === r ? [l] : [l, r], result === r, 4);
+  }
+
+  public static dot<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: VectorBatch<L, D, A, T>, r: VectorBatch<L, D, A, T>, result: ScalarBatch<L, A, T> = new ScalarBatch(l._device, l._array, l.layers)): ScalarBatch<L, A, T> {
+    throw new Error('Not implemented.');
+
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    // this.assertPackable(4, r, result);
+
+    return result.calculate('dot', SHADER_DOT, [l, r]);
+  }
+
+  public static avg<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: VectorBatch<L, D, A, T>,
+    result: Vector<D, A, T> = new Vector(m._device, m._array, m.dims),
+  ): Vector<D, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('avg', SHADER_AVG, [m], false, 4);
+  }
+
+  public static tot<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    m: VectorBatch<L, D, A, T>,
+    result: Vector<D, A, T> = new Vector(m._device, m._array, m.dims),
+  ): Vector<D, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('tot', SHADER_TOT, [m], false, 4);
+  }
+}

src/data/gpu/vector.ts

@@ -0,0 +1,164 @@
+import fs from 'node:fs';
+import { Vector as CPUVector } from '../math';
+import { GPUStruct } from './gpu-struct';
+import { Scalar } from './scalar';
+import { VectorBatch } from './vector-batch';
+
+const SHADER_UNAVG = fs.readFileSync('shader/unavg.wgsl').toString();
+
+const SHADER_DOT = fs.readFileSync('shader/mul.wgsl').toString();
+
+export class Vector<
+  D extends number,
+  A extends Uint32Array | Int32Array | Float32Array,
+  T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+> extends GPUStruct<A> {
+  public get dims(): D {
+    return this.size[0] as D;
+  }
+
+  protected override workgroups(pm: number = 1): [number, number, number] {
+    return [this.dims / GPUStruct.dunit / pm, 1, 1];
+  }
+
+  protected override workgroup(): [number, number, number] {
+    return [GPUStruct.dunit, 1, 1];
+  }
+
+  public constructor(device: GPUDevice, array: new (size: number) => A, data: CPUVector<D, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, d: D, data?: CPUVector<D, T>);
+  public constructor(device: GPUDevice, array: new (size: number) => A, ...args: unknown[]) {
+    const d: number = typeof args[0] === 'number'
+      ? args[0] as D
+      : (args[0] as CPUVector<D, T>).length;
+
+    super(device, array, `${d}`, [d, 1, 1, 1]);
+
+    Vector.assertPackable(1, this);
+
+    const data = (typeof args[0] === 'number' ? args[1] : args[0]) as CPUVector<D, T> | undefined;
+    if (data) {
+      this.set(data);
+    }
+  }
+
+  public async set(i: number, v: T): Promise<void>;
+  public async set(data: CPUVector<D, T>): Promise<void>;
+  public async set(slice: T[], oi?: number): Promise<void>;
+  public async set(b: Vector<D, A, T>): Promise<void>;
+  public async set(...args: unknown[]): Promise<void> {
+    if (typeof args[0] === 'number') {
+      const [i, v]: number[] = args as number[];
+
+      if (this._dirty === 'back') {
+        await this.read();
+      }
+
+      this.data[i] = v;
+      this._dirty = 'front';
+    } else if (Array.isArray(args[0])) {
+      const [data, oi = 0] = args as [T[], number | undefined];
+
+      if (this._dirty === 'back' && (oi || data.length < this.dims)) {
+        await this.read();
+      }
+
+      let i = oi;
+      for (const v of data ?? []) {
+        if (i >= this.dims) {
+          break;
+        }
+        this.data[i] = v;
+        i++;
+      }
+      this._dirty = 'front';
+    } else {
+      const [vector] = args as [Vector<D, A, T>];
+      const copy = this._device.createCommandEncoder();
+      copy.copyBufferToBuffer(vector.buffer(), 0, this.buffer(), 0, this.byteLength);
+      this._device.queue.submit([copy.finish()]);
+      this._dirty = 'back';
+    }
+  }
+
+  public async get(i: number): Promise<T>;
+  public async get(): Promise<CPUVector<D, T>>;
+  public async get(i?: number): Promise<T | CPUVector<D, T>> {
+    if (this._dirty === 'back') {
+      await this.read();
+    }
+    if (typeof i === 'number') {
+      return this.data[i] as T;
+    } else {
+      const result: CPUVector<D, T> = [] as unknown as CPUVector<D, T>;
+      for (let i: number = 0; i < this.dims; i++) {
+        result.push(this.data[i] as T);
+      }
+      return result;
+    }
+  }
+
+  protected static override assertPackable(pm: number, ...ms: Vector<number, Uint32Array | Int32Array | Float32Array>[]): void {
+    for (const m of ms) {
+      if (m.dims % (Vector.dunit * pm) !== 0) {
+        throw new Error(`Vector size ${m.dims} must be divisible by ${Vector.dunit * pm}.`);
+      }
+    }
+  }
+
+  public static sum<
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Vector<D, A, T>, r: Vector<D, A, T>, result: Vector<D, A, T> = new Vector(l._device, l._array, l.dims)): Vector<D, A, T> {
+    return GPUStruct.csum(l, r, result);
+  }
+
+  public static sub<
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Vector<D, A, T>, r: Vector<D, A, T>, result: Vector<D, A, T> = new Vector(l._device, l._array, l.dims)): Vector<D, A, T> {
+    return GPUStruct.csub(l, r, result);
+  }
+
+  public static mul<
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Scalar<A, T>, r: Vector<D, A, T>, result: Vector<D, A, T> = new Vector(r._device, r._array, r.dims)): Vector<D, A, T> {
+    return GPUStruct.cscale(l, r, result);
+  }
+
+  public static dot<
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>> = NonNullable<ReturnType<A['at']>>,
+  >(l: Vector<D, A, T>, r: Vector<D, A, T>, result: Scalar<A, T> = new Scalar(l._device, l._array)): Scalar<A, T> {
+    throw new Error('Not implemented.');
+
+    this.assertUnique(l, r);
+    this.assertUnique(l, result);
+    this.assertColocated(l, r, result);
+    // this.assertPackable(4, r, result);
+
+    return result.calculate('dot', SHADER_DOT, [l, r]);
+  }
+
+  public static unavg<
+    L extends number,
+    D extends number,
+    A extends Uint32Array | Int32Array | Float32Array,
+    T extends NonNullable<ReturnType<A['at']>>,
+  >(
+    l: L,
+    m: Vector<D, A, T>,
+    result: VectorBatch<L, D, A, T> = new VectorBatch(m._device, m._array, l, m.dims),
+  ): VectorBatch<L, D, A, T> {
+    this.assertUnique(m, result);
+    this.assertColocated(m, result);
+    this.assertPackable(4, m);
+
+    return result.calculate('unavg', SHADER_UNAVG, [m], false, 4);
+  }
+}

src/data/group-queue.ts

@@ -0,0 +1,100 @@
+import { List, ListItem } from './list';
+
+interface InternalQueueItem<T> {
+  value: T;
+  self?: ListItem<InternalQueueItem<T>>;
+  orphan?: boolean;
+}
+
+export interface QueueItem<T> {
+  readonly value: T;
+  readonly self: ListItem<QueueItem<T>>;
+  readonly orphan?: boolean;
+}
+
+export abstract class GroupQueueBase<K, T> {
+  protected _groups: Map<K, List<InternalQueueItem<T>>> = new Map();
+
+  protected abstract hash(v: T): K;
+
+  public get length(): number {
+    return this._groups.size;
+  }
+
+  public constructor(values?: Iterable<T>) {
+    for (const v of values ?? []) {
+      this.insert(v);
+    }
+  }
+
+  public insert(value: T): QueueItem<T> {
+    const hash: K = this.hash(value);
+    const group: List<InternalQueueItem<T>> = this._groups.get(hash) ?? this._groups.set(hash, new List()).get(hash)!;
+    const item: InternalQueueItem<T> = { value };
+    return (item.self = group.append(item)).value as QueueItem<T>;
+  }
+
+  public remove(item: QueueItem<T>): boolean {
+    if (item.orphan) {
+      return false;
+    }
+    const hash: K = this.hash(item.value);
+    const group: List<InternalQueueItem<T>> | undefined = this._groups.get(hash);
+    if (!group) {
+      return false;
+    }
+    group.delete(item.self);
+    if (!group.length) {
+      this._groups.delete(hash);
+    }
+    return true;
+  }
+
+  public itemOf(value: T): QueueItem<T> | undefined {
+    const hash: K = this.hash(value);
+    const group: List<InternalQueueItem<T>> | undefined = this._groups.get(hash);
+    if (!group) {
+      return undefined;
+    }
+    for (const item of group) {
+      if (item.value === value) {
+        return item as QueueItem<T>;
+      }
+    }
+    return undefined;
+  }
+
+  public peek(): List<QueueItem<T>> | undefined {
+    if (!this._groups.size) {
+      return undefined;
+    }
+
+    let group: List<InternalQueueItem<T>> | undefined = undefined;
+    for (const g of this._groups.values()) {
+      if (g.length > (group?.length ?? 0)) {
+        group = g;
+      }
+    }
+    return group as List<QueueItem<T>>;
+  }
+
+  public pop(): List<QueueItem<T>> | undefined {
+    const result: List<QueueItem<T>> | undefined = this.peek();
+    for (const item of result ?? []) {
+      this.remove(item);
+    }
+    return result;
+  }
+
+  public *[Symbol.iterator](): IterableIterator<List<QueueItem<T>>> {
+    for (const group of [...this._groups.values()].sort(({ length: ll }, { length: rl }) => rl - ll)) {
+      yield group as List<QueueItem<T>>;
+    }
+  }
+}
+
+export class GroupQueue<T> extends GroupQueueBase<T, T> {
+  protected override hash(v: T): T {
+    return v;
+  }
+}

src/data/list.ts

@@ -0,0 +1,127 @@
+interface InternalListItem<T> {
+  value: T;
+  prev: InternalListItem<T>;
+  next: InternalListItem<T>;
+  orphan?: boolean;
+}
+
+export interface ListItem<T> {
+  readonly value: T;
+  readonly prev: ListItem<T>;
+  readonly next: ListItem<T>;
+  readonly orphan?: boolean;
+}
+
+export class List<T> implements Iterable<T> {
+  protected _head?: InternalListItem<T>;
+  protected _length: number = 0;
+
+  public get first(): T | undefined {
+    return this._head?.value;
+  }
+
+  public get last(): T | undefined {
+    return this._head?.prev?.value;
+  }
+
+  public get length(): number {
+    return this._length;
+  }
+
+  public constructor(values?: Iterable<T>) {
+    for (const v of values ?? []) {
+      this.append(v);
+    }
+  }
+
+  public prepend(value: T): ListItem<T> {
+    if (!this._head) {
+      this._head = { value } as InternalListItem<T>;
+      this._head.prev = this._head.next = this._head;
+    } else {
+      this._head = {
+        value,
+        next: this._head,
+        prev: this._head.prev,
+      };
+      this._head.prev.next = this._head.next.prev = this._head;
+    }
+    this._length++;
+    return this._head;
+  }
+
+  public append(value: T): ListItem<T> {
+    this.prepend(value);
+    this._head = this._head?.next;
+    return this._head!.prev;
+  }
+
+  public includes(value: T): boolean {
+    return !!this.itemOf(value);
+  }
+
+  public itemOf(value: T): ListItem<T> | undefined {
+    for (const item of this.items()) {
+      if (item.value === value) {
+        return item;
+      }
+    }
+    return undefined;
+  }
+
+  public set(item: ListItem<T>, value: T): boolean {
+    if (item.orphan) {
+      return false;
+    }
+
+    (item as InternalListItem<T>).value = value;
+
+    return true;
+  }
+
+  public delete(item: ListItem<T>): boolean {
+    if (item.orphan) {
+      return false;
+    }
+
+    if (this._head === item) {
+      this._head = item.next;
+    }
+
+    if (this._head?.next === this._head) {
+      this._head = undefined;
+    }
+
+    (item as InternalListItem<T>).prev.next = item.next;
+    (item as InternalListItem<T>).next.prev = item.prev;
+    (item as InternalListItem<T>).orphan = true;
+
+    this._length--;
+
+    return true;
+  }
+
+  public *[Symbol.iterator](): IterableIterator<T> {
+    for (const item of this.items()) {
+      yield item.value;
+    }
+  }
+
+  public values(): IterableIterator<T> {
+    return this[Symbol.iterator]();
+  }
+
+  public *items(): IterableIterator<ListItem<T>> {
+    if (!this._head) {
+      return;
+    }
+
+    let head = this._head;
+    let item = this._head;
+    do {
+      head = this._head;
+      yield item;
+      item = item.next;
+    } while (item !== head);
+  }
+}

src/data/math.ts

@@ -0,0 +1,142 @@
+export type Vector<D extends number, I = number> = I[] & { length: D };
+export type Matrix<R extends number, C extends number, I = number> = Vector<R, Vector<C, I>>;
+
+export function vec<D extends number, I = number>(s: D, f: (i: number) => I): Vector<D, I> {
+  return Array.from({ length: s }, (_, i) => f(i)) as Vector<D, I>;
+}
+
+export function mat<R extends number, C extends number, I = number>(r: R, c: C, f: (x: number, y: number) => number): Matrix<R, C, I> {
+  return Array.from({ length: r }, (_, y) => Array.from({ length: c }, (_, x) => f(x, y))) as Matrix<R, C, I>;
+}
+
+export function sum<R extends number, C extends number>(l: Matrix<R, C>, r: Matrix<R, C>): Matrix<R, C> {
+  const result: Matrix<R, C> = mat(l.length, l[0].length, () => 0);
+  for (let i = 0; i < l.length; i++) {
+    for (let j = 0; j < r[0].length; j++) {
+      result[i][j] += l[i][j] + r[i][j];
+    }
+  }
+  return result;
+}
+
+export function mul<R extends number, C extends number>(l: Matrix<R, C>, r: number): Matrix<R, C>;
+export function mul<D0 extends number, D1 extends number>(l: Vector<D0>, r: Matrix<D0, D1>): Vector<D1>;
+export function mul<R extends number, S extends number, C extends number>(l: Matrix<R, S>, r: Matrix<S, C>): Matrix<R, C>;
+export function mul(l: Matrix<number, number> | Vector<number>, r: Matrix<number, number> | number): Matrix<number, number> | Vector<number> {
+  if (typeof r === 'number') {
+    const lm: Matrix<number, number> = l as Matrix<number, number>;
+    const result = Array.from({ length: lm.length }, () => Array(lm[0].length).fill(0));
+    for (let i = 0; i < lm.length; i++) {
+      for (let j = 0; j < lm[i].length; j++) {
+        result[i][j] += lm[i][j] * r;
+      }
+    }
+    return result;
+  } else if (!Array.isArray(l[0])) {
+    const lv: Vector<number> = l as Vector<number>;
+    const result = Array(r[0].length).fill(0);
+    for (let j = 0; j < r[0].length; j++) {
+      for (let i = 0; i < lv.length; i++) {
+        result[j] += lv[i] * r[i][j];
+      }
+    }
+
+    return result;
+  } else {
+    const lm: Matrix<number, number> = l as Matrix<number, number>;
+    const result = Array.from({ length: lm.length }, () => Array(r[0].length).fill(0));
+    for (let i = 0; i < lm.length; i++) {
+      for (let j = 0; j < r[0].length; j++) {
+        for (let k = 0; k < r.length; k++) {
+          result[i][j] += lm[i][k] * r[k][j];
+        }
+      }
+    }
+    return result;
+  }
+}
+
+export function transpose<R extends number, C extends number>(m: Matrix<R, C>): Matrix<C, R> {
+  return mat(m[0].length, m.length, (x, y) => m[x][y]);
+}
+
+export function softmax(row: number[]): number[] {
+  const max = Math.max(...row);
+  const exps = row.map(v => Math.exp(v - max));
+  const sum = exps.reduce((a, b) => a + b, 0);
+  return exps.map(v => v / sum);
+}
+
+export function msoftmax<R extends number, C extends number>(m: Matrix<R, C>): Matrix<R, C> {
+  return m.map(softmax) as Matrix<R, C>;
+}
+
+export function norm<R extends number, C extends number>(x: Matrix<R, C>, epsilon = 1e-5): Matrix<R, C> {
+  return x.map(vec => {
+    const mean = vec.reduce((sum, val) => sum + val, 0) / vec.length;
+    const variance = vec.reduce((sum, val) => sum + (val - mean) ** 2, 0) / vec.length;
+    return vec.map(val => (val - mean) / Math.sqrt(variance + epsilon));
+  }) as Matrix<R, C>;
+}
+
+export function relu<D extends number>(vec: Vector<D>): Vector<D> {
+  return vec.map(v => Math.max(0, v)) as Vector<D>;
+}
+
+export function mean<D extends number>(v: Vector<D>): number {
+  return v.reduce((s, c) => s + c, 0) / v.length;
+}
+
+export function drm(data: number[], interval = 0.9): number {
+  const sorted = [...data].sort((a, b) => a - b);
+  const count = Math.floor(data.length * interval);
+  let mi = 0;
+  let mv = Infinity;
+
+  for (let i = 0; i <= data.length - count; i++) {
+    const range = sorted[i + count - 1] - sorted[i];
+    if (range < mv) {
+      mv = range;
+      mi = i;
+    }
+  }
+
+  return sorted.slice(mi, mi + count).reduce((a, b) => a + b, 0) / count;
+}
+
+export function randseq(n: number): number[] {
+  const is = Array.from({ length: n }, (_, i) => i);
+  for (let i = n - 1; i > 0; i--) {
+    const j = Math.floor(Math.random() * (i + 1));
+    [is[i], is[j]] = [is[j], is[i]]; // swap
+  }
+  return is;
+}
+
+export function stddev(xs: number[]): number {
+  const m = mean(xs);
+  return Math.sqrt(xs.reduce((s, v) => s + (v - m) ** 2, 0) / xs.length);
+}
+
+export function ema(xs: number[], alpha = 0.1): number {
+  let result = xs[0];
+  for (let i = 1; i < xs.length; i++) {
+    result = alpha * xs[i] + (1 - alpha) * result;
+  }
+  return result;
+}
+
+export function slope(xs: number[]): number {
+  const xMean = (xs.length - 1) / 2;
+  const yMean = mean(xs);
+
+  let num = 0, den = 0;
+  for (let i = 0; i < xs.length; i++) {
+    const x = i - xMean;
+    const y = xs[i] - yMean;
+    num += x * y;
+    den += x * x;
+  }
+
+  return num / den;
+}

src/data/trie.ts

@@ -0,0 +1,73 @@
+export interface InternalTrieNode {
+  children: Map<string, InternalTrieNode>;
+  token?: string;
+}
+
+export interface TrieNode {
+  readonly children: Map<string, TrieNode>;
+  readonly token?: string;
+}
+
+export class Trie implements Iterable<string> {
+  protected root: InternalTrieNode = { children: new Map() };
+
+  constructor(values?: string[]) {
+    for (const value of values ?? []) {
+      this.insert(value);
+    }
+  }
+
+  public insert(value: string) {
+    let node = this.root;
+    for (const char of value) {
+      node = node.children.get(char) ?? node.children.set(char, { children: new Map() }).get(char)!;
+    }
+    node.token = value;
+  }
+
+  public match(value: string): string | undefined {
+    let node: TrieNode = this.root;
+    let match: string | undefined = undefined;
+    for (let i = 0; i < value.length && node.children.has(value[i]); i++) {
+      match = (node = node.children.get(value[i])!).token ?? match;
+    }
+    return match;
+  }
+
+  public *[Symbol.iterator](): IterableIterator<string> {
+    const queue: InternalTrieNode[] = [];
+    let item: InternalTrieNode | undefined = this.root;
+    while (item) {
+      if (item.token) {
+        yield item.token;
+      }
+      queue.push(...item.children.values());
+      item = queue.pop();
+    }
+  }
+
+  public toJSON(node: InternalTrieNode = this.root): object {
+    return [
+      ...node.token ? [node.token] : [],
+      ...[...node.children.entries()].map(([k, c]) => [k, this.toJSON(c)]),
+    ];
+  }
+
+  protected static nodeFromJSON(element: object): InternalTrieNode {
+    if (!Array.isArray(element) || !element.every(e => typeof e === 'string'
+      || Array.isArray(e) && e.length === 2)) {
+      throw new Error('Malformed Trie JSON.');
+    }
+
+    return {
+      children: new Map((typeof element[0] === 'string' ? element.slice(1) : element).map(([k, v]) => [k, this.nodeFromJSON(v)])),
+      token: typeof element[0] === 'string' ? element[0] : undefined,
+    };
+  }
+
+  public static fromJSON(json: object): Trie {
+    const result = new Trie();
+    result.root = Trie.nodeFromJSON(json);
+    return result;
+  }
+}

src/debug.ts

@@ -1,72 +0,0 @@
-import { writeFileSync } from 'node:fs';
-
-let indent: string = '';
-const logs: string[] = [];
-
-let logging: boolean = false;
-export function log(): void {
-  logging = true;
-}
-
-export function withLog<T>(before: string, f: () => T, after: (v: T) => string): T {
-  if (!logging) {
-    return f();
-  }
-
-  logs.push(`${indent}${before}`);
-  const l = logs.length;
-  indent += '  ';
-  const result = f();
-  indent = indent.slice(2);
-  if (logs.length === l) {
-    logs[logs.length - 1] += ` ${after(result)}`;
-  } else {
-    logs.push(`${indent}${after(result)}`);
-  }
-  return result;
-}
-
-let profiling: boolean = false;
-export function profile(): void {
-  profiling = true;
-}
-
-let index = 0;
-export function withProfile<T>(name: string, detail: Record<'cat', string> & Record<string, unknown>, f: () => T) {
-  if (!logging) {
-    return f();
-  }
-
-  const i = index++;
-  performance.mark(`${name}::${i}::start`, { detail });
-  const result = f();
-  performance.mark(`${name}::${i}::end`, { detail: { ...detail, result: `${result}` } });
-  performance.measure(name, {
-    start: `${name}::${i}::start`,
-    end: `${name}::${i}::end`,
-    detail: { ...detail, result: `${result}` },
-  });
-  return result;
-}
-
-export function dump() {
-  if (logging) {
-    console.log('\n\nExecution log:');
-    console.log(logs.join('\n'));
-  }
-  if (profiling) {
-    writeFileSync('profile.json', JSON.stringify({
-      pid: 0,
-      tid: 0,
-      displayTimeUnit: 'ns',
-      traceEvents: performance.getEntriesByType('measure').map(({ name, startTime, duration, detail }) => ({
-        name,
-        cat: (detail as { cat: string })?.cat,
-        ph: 'X',
-        ts: startTime * 1000,
-        dur: duration * 1000,
-        args: detail,
-      })),
-    }));
-  }
-}

src/index.ts

@@ -1,14 +1,196 @@
-import { dump, log, profile } from './debug';
+import fs from 'node:fs';
-import { _ } from './core';
+import { create, globals } from 'webgpu';
-import { fromNumber, mul, toNumber } from './byte';
+import yargs from 'yargs';
+import { Matrix } from './data/gpu/matrix';
+import { Scalar } from './data/gpu/scalar';
+import { mul, sum, transpose } from './data/math';
+import { Model } from './model-gpu';
+import { Tokenizer } from './tokenizer';
 
-log();
+Object.assign(globalThis, globals);
-profile();
 
-const program = mul._(fromNumber(1))._(fromNumber(10));
+const GPU = create([]);
 
-try {
+const device = await GPU.requestAdapter({ powerPreference: 'high-performance' }).then(adapter => adapter?.requestDevice());
-  console.log(program.stringify(), ' -> ', toNumber(program));
+
-} finally {
+if (!device) {
-  dump();
+  process.stderr.write('Can not find device.\n');
+  process.exit(1);
+}
+process.stderr.write(`Running on: ${device.adapterInfo.description}.\n`);
+
+const args = await yargs()
+  .option('model', { type: 'string', demandOption: true })
+  .command('test-matrix', 'Test core components')
+  .command('train-tokenizer', 'Train new tokenizer', yargs => yargs
+    .option('vocab', { type: 'number', demandOption: true }))
+  .command('tokenize', 'Tokenize input using existing tokenizer', yargs => yargs
+    .option('input', { type: 'string' })
+    .option('output', { type: 'string' }))
+  .command('configure', 'Configure new model', yargs => yargs
+    .option('window', { type: 'number', demandOption: true })
+    .option('dimensions', { type: 'number', demandOption: true })
+    .option('heads', { type: 'number', demandOption: true })
+    .option('ffs', { type: 'number', demandOption: true }))
+  .command('train', 'Train existing model', yargs => yargs
+    .option('epochs', { type: 'number' })
+    .option('stats', { type: 'string' })
+    .option('logits', { type: 'string' })
+    .option('samples', { type: 'string' }))
+  .command('transform', 'Run single step of existing model', yargs => yargs
+    .option('input', { type: 'string' })
+    .option('output', { type: 'string' })
+    .option('temperature', { type: 'number' })
+    .option('logits', { type: 'string' }))
+  .command('run', 'Run existing model', yargs => yargs
+    .option('input', { type: 'string' })
+    .option('output', { type: 'string' })
+    .option('temperature', { type: 'number' })
+    .option('samples', { type: 'string' })
+    .option('logits', { type: 'string' }))
+  .command('benchmark', 'Benchmark existing model')
+  .demandCommand(1)
+  .parse(process.argv.slice(2));
+
+if (args._.includes('test-matrix')) {
+  (Matrix as any).unit = 1;
+
+  const SL = new Matrix(device, Float32Array, 2, 4, [
+    [3, -7, 6, 12],
+    [11, -5, 7, 3],
+  ]);
+  const SR = new Matrix(device, Float32Array, 2, 4, [
+    [6, 12, 3, -7],
+    [7, 3, 11, -5],
+  ]);
+
+  const SO = new Matrix(device, Float32Array, 2, 4);
+
+  const SS = new Scalar(device, Float32Array, 3);
+
+  const ML = new Matrix(device, Float32Array, 2, 6, [
+    [3, -7, 6, 12, 4, 2],
+    [11, -5, 7, 3, 2, 4],
+  ]);
+  const MR = new Matrix(device, Float32Array, 6, 2, [
+    [6, 12],
+    [3, -7],
+    [7, 3],
+    [11, -5],
+    [4, 2],
+    [2, 4],
+  ]);
+
+  const MO = new Matrix(device, Float32Array, 2, 2);
+
+  console.log('Sum: CPU: ', sum(await SL.get(), await SR.get()));
+  console.log('Sum: GPU (new): ', await Matrix.sum(SL, SR, SO).get());
+  console.log('Sum: GPU (in-place): ', await Matrix.sum(SL, SR, SR).get());
+
+  console.log('Scale: CPU: ', mul(await SL.get(), 3));
+  console.log('Scale: GPU (new): ', await Matrix.scale(SS, SL, SR).get());
+  console.log('Scale: GPU (in-place): ', await Matrix.scale(SS, SL, SL).get());
+
+  console.log('Mul: CPU: ', mul(await ML.get(), await MR.get()));
+  console.log('Mul: GPU: ', await Matrix.mul(ML, MR, MO).get());
+
+  console.log('Transpose: CPU: ', transpose(await ML.get()));
+  console.log('Transpose: GPU: ', await Matrix.transpose(ML, MR).get());
+}
+
+const dir: string = args.model;
+
+let tokenizer: Tokenizer | undefined;
+let model: Model | undefined;
+if (args._.includes('train-tokenizer')) {
+  tokenizer = new Tokenizer(args['vocab'] as number, fs.readFileSync(`${dir}/corpus.txt`).toString());
+
+  fs.writeFileSync(`${dir}/vocab.json`, JSON.stringify(tokenizer.toJSON()));
+  fs.writeFileSync(`${dir}/vocab-flat.txt`, tokenizer.tokens.map(s => JSON.stringify(s).slice(1, -1)).join('\n'));
+}
+
+if (args._.includes('tokenize') || args._.includes('configure') || args._.includes('train') || args._.includes('transform') || args._.includes('run') || args._.includes('benchmark')) {
+  if (!tokenizer && !fs.existsSync(`${dir}/vocab.json`)) {
+    process.stderr.write('Can not find tokenizer data.\n');
+    process.exit(1);
+  }
+
+  tokenizer ??= new Tokenizer(JSON.parse(fs.readFileSync(`${dir}/vocab.json`).toString()));
+
+  if (args._.includes('tokenize')) {
+    fs.writeFileSync(args['output'] as string || 1, tokenizer.detokenize(tokenizer.tokenize(fs.readFileSync(args['input'] as string || 0).toString())).map(s => JSON.stringify(s).slice(1, -1)).join('\n'));
   }
+
+  if (args._.includes('configure')) {
+    model = new Model(device, tokenizer, {
+      tokenizer: `${tokenizer.tokens.length}${tokenizer.tokens[0]}`,
+      vs: tokenizer.tokens.length,
+      ws: args['window'] as number,
+      ds: args['dimensions'] as number,
+    });
+    fs.writeFileSync(`${dir}/model.json`, JSON.stringify(await model.toJSON()));
+
+    if (args['stats']) { fs.writeFileSync(args['stats'] as string, 'index,timestamp,epoch,batch,lr,loss,accuracy,grad_inp,grad_qry,grad_key,grad_val,grad_out,queueing,computing,inferring\n'); }
+    if (args['logits']) { fs.writeFileSync(args['logits'] as string, 'sample,token,itid,ttid,t0,o0,p0,t1,o1,p1,t2,o2,p2,tNm2,oNm2,pNm2,tNm1,oNm1,pNm1,tN,oN,pN,sum,stddev,entropy,loss\n'); }
+    if (args['samples']) { fs.writeFileSync(args['samples'] as string, ''); }
+  }
+
+  if (args._.includes('train') || args._.includes('transform') || args._.includes('run') || args._.includes('benchmark')) {
+    if (!model && !fs.existsSync(`${dir}/model.json`)) {
+      process.stderr.write('Can not find model data.\n');
+      process.exit(1);
+    }
+
+    model ??= new Model(device, tokenizer, JSON.parse(fs.readFileSync(`${dir}/model.json`).toString()));
+
+    if (args._.includes('train')) {
+      const snapshot = (json: object) => fs.writeFileSync(`${dir}/model.json`, JSON.stringify(json));
+
+      await model.train(
+        args.epochs as number || 'auto',
+        fs.readFileSync(`${dir}/corpus.txt`).toString(),
+        {
+          logs: process.stderr,
+          stats: args['stats'] ? fs.createWriteStream(args['stats'] as string, { flags: 'a' }) : undefined,
+          logits: args['logits'] ? fs.createWriteStream(args['logits'] as string, { flags: 'a' }) : undefined,
+          samples: args['samples'] ? fs.createWriteStream(args['samples'] as string, { flags: 'a' }) : undefined,
+          snapshot,
+        });
+
+      snapshot(await model.toJSON());
+    }
+
+    if (args._.includes('transform')) {
+      const [inp, out] = await model.transform(
+        tokenizer.tokenize(fs.readFileSync(args['input'] as string || 0).toString()),
+        {
+          temp: args['temperature'] as number || 1,
+          logits: args['logits'] ? fs.createWriteStream(args['logits'] as string) : undefined,
+        },
+      );
+
+      fs.writeFileSync(args['output'] as string || 1, `Input:\n${tokenizer.detokenize(inp).join('')}\nOutput:${tokenizer.detokenize(out).join('\n')}\n`);
+    }
+
+    if (args._.includes('run')) {
+      fs.writeFileSync(args['output'] as string || 1, tokenizer.detokenize(await model.run(
+        tokenizer.tokenize(fs.readFileSync(args['input'] as string || 0).toString()),
+        {
+          temp: args['temperature'] as number || 1,
+          logits: args['logits'] ? fs.createWriteStream(args['logits'] as string) : undefined,
+          samples: args['samples'] as number || model.ws,
+        },
+      )).join('') + '\n');
+    }
+
+    if (args._.includes('benchmark')) {
+      throw new Error('Not implemented.');
+    }
+  }
+}
+
+await device.queue.onSubmittedWorkDone();
+
+device.destroy();
+
+process.stderr.write('All done!\n');

src/list.show.ts

@@ -1,7 +0,0 @@
-import { _, _l, g, n } from './core';
-import { concat, intersperse, map } from './list';
-import { fromString as _s, cons, snoc } from './string';
-
-n('list.show');
-
-export const show = g('show', _l(eshow => _l(xs => concat._(snoc._(cons._(_s('['))._(intersperse._(_s(', '))._(map._(eshow)._(xs))))._(_s(']'))))));

src/list.ts

@@ -1,72 +0,0 @@
-import { $, Term, _, _l, cnst, g, id, n, pipe, undef } from './core';
-import { EQ, GT, LT, eq as eqc } from './ord';
-import { False, True, and, iif, or } from './bool';
-import { Zero, succ } from './num';
-
-n('list');
-
-export const Nil = g('Nil', _l(z => _l(_ => z)));
-
-export const Cons = g('Cons', _l(x => _l(xs => _l(_ => _l(f => f._(x)._(xs))))));
-
-export const cons = g('cons', Cons);
-
-export const snoc = g('snoc', _l(xs => _l(x => xs._(cons._(x)._(Nil))._(_l(y => _l(ys => cons._(y)._(snoc._(ys)._(x))))))));
-
-export const nul = g('nul', _l(xs => xs._(True)._(cnst._(cnst._(False)))));
-
-export const len = g('len', _l(xs => xs._(Zero)._(cnst._(pipe._(succ)._(len)))));
-
-export const singleton = g('singleton', _l(x => cons._(x)._(Nil)));
-
-export const append = g('append', _l(l => _l(r => l._(r)._(_l(x => _l(xs => cons._(x)._(append._(xs)._(r))))))));
-
-export const concat = g('concat', _l(ls => ls._(Nil)._(_l(x => pipe._(append._(x))._(concat)))));
-
-export const repeat = g('repeat', _l(x => cons._(x)._(repeat._(x))));
-
-export const iterate = g('iterate', _l(f => _l(x => cons._(x)._(iterate._(f)._(f._(x))))));
-
-export const head = g('head', _l(xs => xs._(undef)._(cnst)));
-
-export const tail = g('tail', _l(xs => xs._(undef)._(cnst._(id))));
-
-export const foldl = g('foldl', _l(f => _l(z => _l(xs => xs._(z)._(pipe._(foldl._(f))._(f._(z)))))));
-
-export const foldlz = g('foldlz', _l(f => _l(xs => xs._(undef)._(foldl._(f)))));
-
-export const foldr = g('foldr', _l(f => _l(z => _l(xs => xs._(z)._(_l(x => pipe._(f._(x))._(foldr._(f)._(z))))))));
-
-export const foldrz = g('foldrz', undef);
-
-export const cmp = g('cmp', _l(ecmp => _l(l => _l(r => l._(r._(EQ)._(cnst._(cnst._(LT))))._(_l(lx => _l(lxs => r._(GT)._(_l(rx => _l(rxs => iif._(eqc._(EQ)._(ecmp._(lx)._(rx)))._(cmp._(ecmp)._(lxs)._(rxs))._(ecmp._(lx)._(rx))))))))))));
-
-export const lt = g('lt', _l(ecmp => _l(l => _l(r => r._(False)._(_l(rx => _l(rxs => l._(True)._(_l(lx => _l(lxs => ecmp._(lx)._(rx)._(True)._(lt._(ecmp)._(lxs)._(rxs))._(False)))))))))));
-
-export const le = g('le', _l(ecmp => _l(l => _l(r => l._(True)._(_l(lx => _l(lxs => r._(False)._(_l(rx => _l(rxs => ecmp._(lx)._(rx)._(True)._(le._(ecmp)._(lxs)._(rxs))._(False)))))))))));
-
-export const eq = g('eq', _l(eeq => _l(l => _l(r => l._(r._(True)._(cnst._(cnst._(False))))._(_l(lx => _l(lxs => r._(False)._(_l(rx => _l(rxs => and._(eeq._(lx)._(rx))._(eq._(eeq)._(lxs)._(rxs))))))))))));
-
-export const ge = g('ge', _l(ecmp => _l(l => _l(r => r._(True)._(_l(rx => _l(rxs => l._(False)._(_l(lx => _l(lxs => ecmp._(lx)._(rx)._(False)._(ge._(ecmp)._(lxs)._(rxs))._(True)))))))))));
-
-export const gt = g('gt', _l(ecmp => _l(l => _l(r => l._(False)._(_l(lx => _l(lxs => r._(True)._(_l(rx => _l(rxs => ecmp._(lx)._(rx)._(False)._(gt._(ecmp)._(lxs)._(rxs))._(True)))))))))));
-
-export const map = g('map', _l(f => _l(xs => xs._(Nil)._(_l(x => pipe._(cons._(f._(x)))._(map._(f)))))));
-
-export const filter = g('filter', _l(f => _l(xs => xs._(Nil)._(_l(x => pipe._(iif._(f._(x))._(cons._(x))._(id))._(filter._(f)))))));
-
-export const any = g('any', _l(f => _l(xs => xs._(False)._(_l(x => pipe._(or._(f._(x)))._(any._(f)))))));
-
-export const all = g('all', _l(f => _l(xs => xs._(True)._(_l(x => pipe._(and._(f._(x)))._(all._(f)))))));
-
-export const get = g('get', _l(i => _l(xs => xs._(undef)._(_l(x => i._(cnst._(x))._(get))))));
-
-export const update = g('update', _l(f => _l(i => _l(xs => xs._(undef)._(_l(x => _l(xs => i._(cons._(f._(x))._(xs))._(_l(pi => cons._(x)._(update._(f)._(pi)._(xs)))))))))));
-
-export const set = g('set', pipe._(update)._(cnst));
-
-export const intersperse = g('intersperse', _l(v => _l(xs => xs._(xs)._(_l(x => _l(rxs => rxs._(xs)._(cnst._(cnst._(cons._(x)._(cons._(v)._(intersperse._(v)._(rxs))))))))))));
-
-export const fromArray: (xs: Term[]) => Term = xs => !xs.length ? Nil : Cons._(xs[0])._(_(() => fromArray(xs.slice(1))));
-
-export const toArray: (xs: Term) => Term[] = xs => $(xs._(_([]))._(_l(x => _l(xs => _(({ x, xs }) => _([x, ...toArray(xs)]))))));

src/log.ts

@@ -1,7 +0,0 @@
-import { _, _l } from './core';
-import { toString } from './string';
-
-export const log = _l(s => _l(p => _(({ s, p }) => {
-  console.log(toString(s));
-  return p;
-})));

src/model-cpu.ts

@@ -0,0 +1,261 @@
+import { Matrix, Vector, mat, mul, softmax, sum, transpose } from './data/math';
+import { TID } from './tokenizer';
+
+export interface ModelInitData<
+  V extends number,
+  W extends number,
+  D extends number,
+  H extends number,
+  F extends number,
+> {
+  readonly vs: V;
+  readonly ws: W;
+  readonly ds: D;
+  readonly hs: H;
+  readonly fs: F;
+}
+
+export interface ModelData<
+  V extends number,
+  W extends number,
+  D extends number,
+  H extends number,
+  HD extends number,
+  F extends number,
+  FD extends number,
+> extends ModelInitData<V, W, D, H, F> {
+  readonly trained: true;
+  readonly positions: Matrix<W, D>;
+  readonly embeddings: Matrix<V, D>;
+  readonly weights: {
+    query: Matrix<D, HD>;
+    key: Matrix<D, HD>;
+    value: Matrix<D, HD>;
+    attn: Matrix<D, D>;
+    ffi: Matrix<D, FD>;
+    ffo: Matrix<FD, D>;
+    out: Matrix<D, V>;
+  };
+}
+
+const ES: number = 1;
+
+export class Model<
+  V extends number = number,
+  W extends number = number,
+  D extends number = number,
+  H extends number = number,
+  HD extends number = number,
+  F extends number = number,
+  FD extends number = number,
+> {
+  protected readonly vs: V;
+  protected readonly ws: W;
+  protected readonly ds: D;
+  protected readonly hs: H;
+  protected readonly hds: HD;
+  protected readonly fs: F;
+  protected readonly fds: FD;
+
+  protected positions: Matrix<W, D>;
+  protected embeddings: Matrix<V, D>;
+
+  protected readonly weights: {
+    query: Matrix<D, HD>;
+    key: Matrix<D, HD>;
+    value: Matrix<D, HD>;
+    attn: Matrix<D, D>;
+    ffi: Matrix<D, FD>;
+    ffo: Matrix<FD, D>;
+    out: Matrix<D, V>;
+  };
+
+  protected embed(tids: Vector<W, TID>): Matrix<W, D> {
+    return sum(tids.map(tid => this.embeddings[tid]) as Matrix<W, D>, this.positions);
+  }
+
+  // protected attentize<N extends number>(input: Matrix<N, D>): Matrix<N, D> {
+  //   const SCALE: number = 1 / Math.sqrt(this.hds);
+  //   const Q: Matrix<N, HD> = mul(input, this.weights.query);
+  //   const K: Matrix<N, HD> = mul(input, this.weights.key);
+  //   const V: Matrix<N, HD> = mul(input, this.weights.value);
+  //   const scores: Matrix<N, N> = msoftmax(mul(mul(Q, transpose(K)), SCALE));
+  //   const out: Matrix<N, HD> = mul(scores, V);
+  //   return mul(out as unknown as Matrix<N, D>, this.weights.attn);
+  // }
+
+  // protected feedforward<N extends number>(input: Matrix<N, D>): Matrix<N, D> {
+  //   return input.map((v: Vector<D>) => mul(relu(mul(v, this.weights.ffi)), this.weights.ffo)) as Matrix<N, D>;
+  // }
+
+  // protected transform<N extends number>(input: Matrix<N, D>): Matrix<N, D> {
+  //   const attned: Matrix<N, D> = sum(input, this.attentize(input));
+  //   const ffned: Matrix<N, D> = sum(input, this.feedforward(attned));
+  //   return ffned;
+  // }
+
+  protected logitize(input: Matrix<W, D>): Matrix<W, V> {
+    return mul(input, this.weights.out).map(softmax) as Matrix<W, V>;
+  }
+
+  protected argmax(logit: Vector<V>): TID {
+    return logit.reduce((mi, p, i, a) => p > a[mi] ? i : mi, 0);
+  }
+
+  protected sample(logit: Vector<V>): TID {
+    let p: number = 0;
+    const t: number = Math.random();
+    for (let i = 0; i < logit.length; i++) {
+      p += logit[i];
+      if (t < p) {
+        return i;
+      }
+    }
+    return 0;
+  }
+
+  protected forward(tids: Vector<W, TID>): Matrix<W, V> {
+    return this.logitize(this.embed(tids));
+  }
+
+  protected loss<N extends number>(probs: Vector<N, Vector<V>>, target: Vector<N, TID>): number {
+    return probs.reduce((l: number, ps: Vector<V>, i: number) => l - Math.log(ps[target[i]] + 1e-10), 0) / probs.length;
+  }
+
+  protected grad(probs: Matrix<W, V>, target: Vector<W, TID>): Matrix<W, V> {
+    const grads = mul(probs, 1);
+    target.forEach((t, i) => grads[i][t] -= 1);
+    return grads;
+  }
+
+  protected updateWOut<N extends number>(input: Matrix<N, D>, grad: Matrix<N, V>, lr: number): void {
+    this.weights.out = sum(mul(mul(transpose(input), grad), -lr), this.weights.out);
+  }
+
+  public constructor(_device: unknown, data: ModelInitData<V, W, D, H, F> | ModelData<V, W, D, H, HD, F, FD>) {
+    this.vs = data.vs;
+    this.ws = data.ws;
+    this.ds = data.ds;
+    this.hs = data.hs;
+    this.hds = (this.ds / this.hs) as HD;
+    this.fs = data.fs;
+    this.fds = (this.ds * this.fs) as FD;
+    if (!('trained' in data)) {
+      this.positions = mat(this.ws, this.ds, (d, i) => {
+        const angle = i / Math.pow(10000, 2 * Math.floor(d / 2) / this.ds);
+        return d % 2 === 0 ? Math.sin(angle) * ES : Math.cos(angle) * ES;
+      });
+      this.embeddings = mat(this.vs, this.ds, () => Math.random() * 2 * ES - ES);
+      this.weights = {
+        query: mat(this.ds, this.hds, () => Math.random() * 0.02 - 0.01),
+        key: mat(this.ds, this.hds, () => Math.random() * 0.02 - 0.01),
+        value: mat(this.ds, this.hds, () => Math.random() * 0.02 - 0.01),
+        attn: mat(this.ds, this.ds, () => Math.random() * 0.02 - 0.01),
+        ffi: mat(this.ds, this.fds, () => Math.random() * 0.02 - 0.01),
+        ffo: mat(this.fds, this.ds, () => Math.random() * 0.02 - 0.01),
+        out: mat(this.ds, this.vs, () => Math.random() * 0.2 - 0.1),
+      };
+    } else {
+      this.positions = data.positions;
+      this.embeddings = data.embeddings;
+      this.weights = data.weights;
+    }
+  }
+
+  public train(data: TID[], epochs: number): void {
+    let log = Date.now();
+    const samples: number[] = [];
+    console.log('Training model.');
+
+    const runs = data.length - this.ws - 1;
+    for (let epoch = 0; epoch < epochs; epoch++) {
+      for (let s = 0; s < runs; s++) {
+        const begin: number = Date.now();
+
+        const source = data.slice(s, s + this.ws) as Vector<W>;
+        const target = data.slice(s + 1, s + 1 + this.ws) as Vector<W>;
+
+        // const encoded = transform(model, embed(model, source));
+
+        const embedded = this.embed(source);
+        const logits = this.logitize(embedded);
+
+        this.updateWOut(embedded, this.grad(logits, target), 0.001);
+
+        const output = logits.map(this.sample);
+
+        const a = 100 * target.filter((t, i) => output[i] === t).length / target.length;
+        const l = this.loss(logits, target);
+
+        const end: number = Date.now();
+        samples.push(end - begin);
+        if ((epoch * runs + s) % Math.round(runs * epochs / Math.min(100, epochs)) === 0 || epoch === epochs - 1 && s === runs - 1 || end - log > 5000) {
+          console.log(`Done ${samples.length} / ${epochs * runs}, accuracy ${a.toFixed(0)}%, loss ${l}, in ${end - begin}ms, ETA ${Math.round(samples.reduce((a, b) => a + b, 0) / samples.length * (epochs * runs - samples.length) / 1000)}s`);
+          log = end;
+        }
+      }
+    }
+  }
+
+  public run(tids: TID[], samples: number = this.ws): TID[] {
+    const inputs: Vector<W> = [
+      ...Array(Math.max(0, this.ws - tids.length)).fill(0),
+      ...tids.slice(-this.ws)] as Vector<W>;
+    const result: Vector<W, TID> = [] as unknown as Vector<W, TID>;
+    while (result.length < samples) {
+      const next: TID = this.sample(this.forward(inputs)[this.ws - 1]);
+      result.push(next);
+      inputs.shift();
+      inputs.push(next);
+    }
+    return result;
+  }
+
+  public benchmark(data: TID[]): void {
+    let log = Date.now();
+    const samples: number[] = [];
+    console.log('Testing model.');
+
+    let accuracy: number = 0;
+    let loss: number = 0;
+
+    const runs = data.length - this.ws - 1;
+    for (let s = 0; s < runs; s++) {
+      const begin: number = Date.now();
+
+      const source = data.slice(s, s + this.ws) as Vector<W>;
+      const target = data.slice(s + 1, s + 1 + this.ws) as Vector<W>;
+
+      const embedded = this.embed(source);
+      const logits = this.logitize(embedded);
+      const output = logits.map(this.sample);
+
+      const a = 100 * target.filter((t, i) => output[i] === t).length / target.length;
+      const l = this.loss(logits, target);
+
+      accuracy += a / runs;
+      loss += l / runs;
+
+      const end: number = Date.now();
+      samples.push(end - begin);
+      if (end - log > 5000 || s === runs - 1) {
+        console.log(`Done ${samples.length} / ${runs}, accuracy ${a.toFixed(0)}% / ${accuracy.toFixed()}%, loss ${l.toFixed(4)} / ${loss.toFixed(4)}, in ${end - begin}ms, ETA ${Math.round(samples.reduce((a, b) => a + b, 0) / samples.length * (runs - samples.length) / 1000)}s`);
+        log = end;
+      }
+    }
+  }
+
+  public toJSON(): ModelData<V, W, D, H, HD, F, FD> {
+    return {
+      vs: this.vs,
+      ws: this.ws,
+      ds: this.ds,
+      hs: this.hs,
+      fs: this.fs,
+      trained: true,
+      positions: this.positions,
+      embeddings: this.embeddings,
+      weights: this.weights,
+    };
+  }
+}

src/model-gpu.ts

@@ -0,0 +1,662 @@
+import fs from 'node:fs';
+import { Writable } from 'node:stream';
+import { Matrix } from './data/gpu/matrix';
+import { Scalar } from './data/gpu/scalar';
+import { Vector } from './data/gpu/vector';
+import { Matrix as CPUMatrix, Vector as CPUVector, drm, mat, randseq, slope, stddev, vec } from './data/math';
+import { TID, Tokenizer } from './tokenizer';
+
+const SHADER_HOTONES = fs.readFileSync('shader/hotones.wgsl').toString();
+const SHADER_EMBED = fs.readFileSync('shader/embed.wgsl').toString();
+const SHADER_ATTW = fs.readFileSync('shader/attw.wgsl').toString();
+const SHADER_SOFTMAX_EXP = fs.readFileSync('shader/softmaxexp.wgsl').toString();
+const SHADER_SOFTMAX_NORM = fs.readFileSync('shader/softmaxnorm.wgsl').toString();
+const SHADER_DLDO = fs.readFileSync('shader/dldo.wgsl').toString();
+const SHADER_OTDLDO = fs.readFileSync('shader/otdldo.wgsl').toString();
+const SHADER_TOTDLDOWA = fs.readFileSync('shader/totdldowa.wgsl').toString();
+const SHADER_DLDS = fs.readFileSync('shader/dlds.wgsl').toString();
+const SHADER_GRAD_TOUT = fs.readFileSync('shader/gradtout.wgsl').toString();
+const SHADER_GRAD_TATTW = fs.readFileSync('shader/gradtattw.wgsl').toString();
+const SHADER_GRAD_INP = fs.readFileSync('shader/gradinp.wgsl').toString();
+const SHADER_ARGMAX = fs.readFileSync('shader/argmax.wgsl').toString();
+const SHADER_SAMPLES = fs.readFileSync('shader/samples.wgsl').toString();
+
+export interface ModelInitData<
+  V extends number,
+  W extends number,
+  D extends number,
+> {
+  readonly tokenizer: string;
+  readonly vs: V;
+  readonly ws: W;
+  readonly ds: D;
+}
+
+export interface ModelData<
+  V extends number,
+  W extends number,
+  D extends number,
+> extends ModelInitData<V, W, D> {
+  stage: 'early' | 'mid' | 'end';
+  tokenizer: string;
+  samples: number;
+  weights: {
+    inp: CPUMatrix<V, D>;
+    pos: CPUMatrix<W, D>;
+    tqry: CPUMatrix<D, D>;
+    tkey: CPUMatrix<D, D>;
+    tval: CPUMatrix<D, D>;
+    out: CPUMatrix<V, D>;
+  };
+}
+
+interface TrainingPoint {
+  index: number;
+  timestamp: number;
+  epoch: number;
+  batch: number;
+  lr: number;
+  loss: number;
+  ginp: number;
+  gqry: number;
+  gkey: number;
+  gval: number;
+  gout: number;
+  accuracy: number;
+  queueing: number;
+  computing: number;
+  inferring: number;
+}
+
+interface LogitsPoint {
+  sample: number;
+  token: number;
+  itid: string;
+  ttid: string;
+  t0: string;
+  o0: number;
+  p0: number;
+  t1: string;
+  o1: number;
+  p1: number;
+  t2: string;
+  o2: number;
+  p2: number;
+  tNm2: string;
+  oNm2: number;
+  pNm2: number;
+  tNm1: string;
+  oNm1: number;
+  pNm1: number;
+  tN: string;
+  oN: number;
+  pN: number;
+  sum: number;
+  stddev: number;
+  entropy: number;
+  loss: number;
+}
+
+export class Model<
+  V extends number = number,
+  W extends number = number,
+  D extends number = number,
+> {
+  protected readonly device: GPUDevice;
+  public readonly tokenizer: Tokenizer;
+  public readonly vs: V;
+  public readonly ws: W;
+  public readonly ds: D;
+
+  protected samples: number = 0;
+  protected stage: 'early' | 'mid' | 'end' = 'early';
+
+  protected readonly weights: {
+    readonly inp: Matrix<V, D, Float32Array>;
+    readonly pos: Matrix<W, D, Float32Array>;
+    readonly tqry: Matrix<D, D, Float32Array>;
+    readonly tkey: Matrix<D, D, Float32Array>;
+    readonly tval: Matrix<D, D, Float32Array>;
+    readonly tout: Matrix<V, D, Float32Array>;
+  };
+
+  protected readonly processing: {
+    readonly ds: Scalar<Float32Array>;
+    readonly lr: Scalar<Float32Array>;
+    readonly itids: Vector<W, Int32Array, TID>;
+    readonly ilogits: Matrix<W, V, Float32Array>;
+    readonly e: Matrix<W, D, Float32Array>;
+    readonly q: Matrix<W, D, Float32Array>;
+    readonly k: Matrix<W, D, Float32Array>;
+    readonly tk: Matrix<D, W, Float32Array>;
+    readonly qtk: Matrix<W, W, Float32Array>;
+    readonly v: Matrix<W, D, Float32Array>;
+    readonly s: Matrix<W, W, Float32Array>;
+    readonly se: Matrix<W, W, Float32Array>;
+    readonly wa: Matrix<W, W, Float32Array>;
+    readonly a: Matrix<W, D, Float32Array>;
+    readonly o: Matrix<W, V, Float32Array>;
+    readonly temp: Scalar<Float32Array>;
+    readonly tempo: Matrix<W, V, Float32Array>;
+    readonly on: Matrix<W, V, Float32Array>;
+    readonly ologits: Matrix<W, V, Float32Array>;
+    readonly dldo: Matrix<W, V, Float32Array>;
+    readonly otdldo: Matrix<D, W, Float32Array>;
+    readonly totdldowa: Matrix<W, D, Float32Array>;
+    readonly dlds: Matrix<W, W, Float32Array>;
+    readonly dldsk: Matrix<W, D, Float32Array>;
+    readonly dldsq: Matrix<W, D, Float32Array>;
+    readonly ginp: Matrix<V, D, Float32Array>;
+    readonly gtqry: Matrix<D, D, Float32Array>;
+    readonly gtkey: Matrix<D, D, Float32Array>;
+    readonly gtval: Matrix<D, D, Float32Array>;
+    readonly gtout: Matrix<V, D, Float32Array>;
+    readonly rnd: Vector<W, Float32Array>;
+    readonly otids: Vector<W, Int32Array, TID>;
+    readonly ttids: Vector<W, Int32Array, TID>;
+  };
+
+  protected softmax<H extends number, W extends number>(
+    m: Matrix<H, W, Float32Array>,
+    e: Matrix<H, W, Float32Array> = new Matrix(this.device, Float32Array, m.height, m.width),
+    r: Matrix<H, W, Float32Array> = new Matrix(this.device, Float32Array, m.height, m.width),
+  ): Matrix<H, W, Float32Array> {
+    e.calculate('softmaxexp', SHADER_SOFTMAX_EXP, [m], false, 4);
+    r.calculate('softmaxnorm', SHADER_SOFTMAX_NORM, [e], false, 4);
+    return r;
+  }
+
+  protected async ilogits(itids: Vector<W, Int32Array, TID> = this.processing.itids): Promise<Matrix<W, V, Float32Array>> {
+    this.processing.ilogits.calculate('hotones', SHADER_HOTONES, [itids]);
+    return this.processing.ilogits;
+  }
+
+  protected async e(ilogits: Matrix<W, V, Float32Array> = this.processing.ilogits): Promise<Matrix<W, D, Float32Array>> {
+    this.processing.e.calculate('embed', SHADER_EMBED, [ilogits, this.weights.inp, this.weights.pos]);
+    return this.processing.e;
+  }
+
+  protected q(e: Matrix<W, D, Float32Array> = this.processing.e): Matrix<W, D, Float32Array> {
+    this.processing.q.calculate('attw', SHADER_ATTW, [e, this.weights.tqry]);
+    return this.processing.q;
+  }
+
+  protected k(e: Matrix<W, D, Float32Array> = this.processing.e): Matrix<W, D, Float32Array> {
+    this.processing.k.calculate('attw', SHADER_ATTW, [e, this.weights.tkey]);
+    return this.processing.k;
+  }
+
+  protected v(e: Matrix<W, D, Float32Array> = this.processing.e): Matrix<W, D, Float32Array> {
+    this.processing.v.calculate('attw', SHADER_ATTW, [e, this.weights.tval]);
+    return this.processing.v;
+  }
+
+  protected s(
+    q: Matrix<W, D, Float32Array> = this.processing.q,
+    k: Matrix<W, D, Float32Array> = this.processing.k,
+  ): Matrix<W, W, Float32Array> {
+    Matrix.transpose(k, this.processing.tk);
+    Matrix.mul(q, this.processing.tk, this.processing.qtk);
+    Matrix.scale(this.processing.ds, this.processing.qtk, this.processing.s);
+    return this.processing.s;
+  }
+
+  protected async wa(s: Matrix<W, W, Float32Array> = this.processing.s): Promise<Matrix<W, W, Float32Array>> {
+    this.softmax(s, this.processing.se, this.processing.wa);
+    return this.processing.wa;
+  }
+
+  protected a(
+    wa: Matrix<W, W, Float32Array> = this.processing.wa,
+    v: Matrix<W, D, Float32Array> = this.processing.v,
+  ): Matrix<W, D, Float32Array> {
+    Matrix.mul(wa, v, this.processing.a);
+    return this.processing.a;
+  }
+
+  protected o(a: Matrix<W, D, Float32Array> = this.processing.a): Matrix<W, V, Float32Array> {
+    this.processing.o.calculate('attw', SHADER_ATTW, [a, this.weights.tout]);
+    return this.processing.o;
+  }
+
+  protected async ologits(o: Matrix<W, V, Float32Array> = this.processing.o, temp: number = 1): Promise<Matrix<W, V, Float32Array>> {
+    await this.processing.temp.set(temp);
+    Matrix.scale(this.processing.temp, o, this.processing.tempo);
+    this.softmax(this.processing.tempo, this.processing.on, this.processing.ologits);
+    return this.processing.ologits;
+  }
+
+  protected async rnd(): Promise<Vector<W, Float32Array>> {
+    await this.processing.rnd.set(vec(this.ws, () => Math.random()));
+    return this.processing.rnd;
+  }
+
+  protected otids(): Vector<W, Int32Array, TID>;
+  protected otids(ologits: Matrix<W, V, Float32Array>): Vector<W, Int32Array, TID>;
+  protected otids(rnd: Vector<W, Float32Array>, ologits: Matrix<W, V, Float32Array>): Vector<W, Int32Array, TID>;
+  protected otids(...args: unknown[]): Vector<W, Int32Array, TID> {
+    if (args.length === 1) {
+      const [ologits = this.processing.ologits] = args as [Matrix<W, V, Float32Array>];
+      this.processing.otids.calculate('argmax', SHADER_ARGMAX, [ologits]);
+      return this.processing.otids;
+    } else {
+      const [rnd = this.processing.rnd, ologits = this.processing.ologits] = args as [Vector<W, Float32Array> | undefined, Matrix<W, V, Float32Array> | undefined];
+      this.processing.otids.calculate('samples', SHADER_SAMPLES, [ologits, rnd]);
+      return this.processing.otids;
+    }
+  }
+
+  protected loss<N extends number>(probs: CPUVector<N, CPUVector<V>>, target: CPUVector<N, TID>): number {
+    return probs.reduce((l: number, ps: CPUVector<V>, i: number) => l - Math.log(ps[target[i]] + 1e-10), 0) / probs.length;
+  }
+
+  protected async upd(
+    ilogits: Matrix<W, V, Float32Array> = this.processing.ilogits,
+    e: Matrix<W, D, Float32Array> = this.processing.e,
+    q: Matrix<W, D, Float32Array> = this.processing.q,
+    k: Matrix<W, D, Float32Array> = this.processing.k,
+    v: Matrix<W, D, Float32Array> = this.processing.v,
+    wa: Matrix<W, W, Float32Array> = this.processing.wa,
+    a: Matrix<W, D, Float32Array> = this.processing.a,
+    ologits: Matrix<W, V, Float32Array> = this.processing.ologits,
+    ttids: Vector<W, Int32Array, TID> = this.processing.ttids,
+    lr: number = 0.001,
+  ): Promise<void> {
+    await this.processing.lr.set(-lr);
+
+    this.processing.dldo.calculate('dldo', SHADER_DLDO, [
+      ologits,
+      ttids,
+      this.processing.lr,
+    ]);
+
+    this.processing.otdldo.calculate('otdldo', SHADER_OTDLDO, [this.processing.dldo, this.weights.tout]);
+
+    this.processing.dlds.calculate('dlds', SHADER_DLDS, [
+      this.processing.ds,
+      wa,
+      v,
+      this.processing.otdldo,
+    ]);
+
+    Matrix.mul(this.processing.dlds, k, this.processing.dldsk);
+    Matrix.mul(Matrix.transpose(this.processing.dlds), q, this.processing.dldsq);
+
+    this.processing.ginp.calculate('gradinp', SHADER_GRAD_INP, [
+      ilogits,
+      this.processing.dldsq,
+      this.processing.dldsk,
+      this.processing.totdldowa,
+      this.weights.tqry,
+      this.weights.tkey,
+      this.weights.tval,
+    ]);
+    Matrix.sum(this.processing.ginp, this.weights.inp, this.weights.inp);
+
+    this.processing.gtout.calculate('gradtout', SHADER_GRAD_TOUT, [a, this.processing.dldo]);
+    Matrix.sum(this.processing.gtout, this.weights.tout, this.weights.tout);
+    this.processing.gtqry.calculate('gradtqry', SHADER_GRAD_TATTW, [e, this.processing.dldsk]);
+    Matrix.sum(this.processing.gtqry, this.weights.tqry, this.weights.tqry);
+    this.processing.gtkey.calculate('gradtkey', SHADER_GRAD_TATTW, [e, this.processing.dldsq]);
+    Matrix.sum(this.processing.gtkey, this.weights.tkey, this.weights.tkey);
+
+    this.processing.totdldowa.calculate('totdldowa', SHADER_TOTDLDOWA, [wa, this.processing.otdldo]);
+    this.processing.gtval.calculate('gradtval', SHADER_GRAD_TATTW, [e, this.processing.totdldowa]);
+    Matrix.sum(this.processing.gtval, this.weights.tval, this.weights.tval);
+  }
+
+  public constructor(
+    device: GPUDevice,
+    tokenizer: Tokenizer,
+    data: ModelInitData<V, W, D> | ModelData<V, W, D>,
+  ) {
+    this.device = device;
+    this.tokenizer = tokenizer;
+    this.vs = data.vs;
+    this.ws = data.ws;
+    this.ds = data.ds;
+    if (!('stage' in data)) {
+      this.weights = {
+        inp: new Matrix(this.device, Float32Array, mat(this.vs, this.ds, () => (Math.random() - 0.5) * Math.sqrt(1 / this.ds))),
+        pos: new Matrix(this.device, Float32Array, mat(this.ws, this.ds, (i, d) => {
+          const angle = i / Math.pow(10000, 2 * Math.floor(d / 2) / this.ds);
+          return (d % 2 === 0 ? Math.sin(angle) : Math.cos(angle)) * Math.sqrt(1 / this.ds);
+        })),
+        tqry: new Matrix(this.device, Float32Array, mat(this.ds, this.ds, () => (Math.random() - 0.5) * Math.sqrt(1 / this.ds))),
+        tkey: new Matrix(this.device, Float32Array, mat(this.ds, this.ds, () => (Math.random() - 0.5) * Math.sqrt(1 / this.ds))),
+        tval: new Matrix(this.device, Float32Array, mat(this.ds, this.ds, () => (Math.random() - 0.5) * Math.sqrt(1 / this.ds))),
+        tout: new Matrix(this.device, Float32Array, mat(this.vs, this.ds, () => (Math.random() - 0.5) * Math.sqrt(1 / this.ds))),
+      };
+    } else {
+      this.weights = {
+        inp: new Matrix(this.device, Float32Array, data.weights.inp),
+        pos: new Matrix(this.device, Float32Array, data.weights.pos),
+        tqry: new Matrix(this.device, Float32Array, data.weights.tqry),
+        tkey: new Matrix(this.device, Float32Array, data.weights.tkey),
+        tval: new Matrix(this.device, Float32Array, data.weights.tval),
+        tout: new Matrix(this.device, Float32Array, data.weights.out),
+      };
+      this.stage = data.stage;
+      this.samples = data.samples;
+      if (data.tokenizer !== `${tokenizer.tokens.length}${tokenizer.tokens[0]}`) {
+        throw new Error(`The model was trained against a different tokenizer ("${data.tokenizer}").`);
+      }
+    }
+
+    this.processing = {
+      ds: new Scalar<Float32Array>(this.device, Float32Array, 1 / Math.sqrt(this.ds)),
+      lr: new Scalar<Float32Array>(this.device, Float32Array, 0),
+      itids: new Vector<W, Int32Array, TID>(this.device, Int32Array, this.ws),
+      ilogits: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      e: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      q: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      k: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      tk: new Matrix<D, W, Float32Array>(this.device, Float32Array, this.ds, this.ws),
+      qtk: new Matrix<W, W, Float32Array>(this.device, Float32Array, this.ws, this.ws),
+      v: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      s: new Matrix<W, W, Float32Array>(this.device, Float32Array, this.ws, this.ws),
+      se: new Matrix<W, W, Float32Array>(this.device, Float32Array, this.ws, this.ws),
+      wa: new Matrix<W, W, Float32Array>(this.device, Float32Array, this.ws, this.ws),
+      a: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      o: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      temp: new Scalar<Float32Array>(this.device, Float32Array, 1),
+      tempo: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      on: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      ologits: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      dldo: new Matrix<W, V, Float32Array>(this.device, Float32Array, this.ws, this.vs),
+      otdldo: new Matrix<D, W, Float32Array>(this.device, Float32Array, this.ds, this.ws),
+      totdldowa: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      dlds: new Matrix<W, W, Float32Array>(this.device, Float32Array, this.ws, this.ws),
+      dldsk: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      dldsq: new Matrix<W, D, Float32Array>(this.device, Float32Array, this.ws, this.ds),
+      ginp: new Matrix(this.device, Float32Array, this.vs, this.ds),
+      gtqry: new Matrix(this.device, Float32Array, this.ds, this.ds),
+      gtkey: new Matrix(this.device, Float32Array, this.ds, this.ds),
+      gtval: new Matrix(this.device, Float32Array, this.ds, this.ds),
+      gtout: new Matrix(this.device, Float32Array, this.vs, this.ds),
+      rnd: new Vector<W, Float32Array>(this.device, Float32Array, this.ws),
+      otids: new Vector<W, Int32Array, TID>(this.device, Int32Array, this.ws),
+      ttids: new Vector<W, Int32Array, TID>(this.device, Int32Array, this.ws),
+    };
+  }
+
+  public async debug(
+    sample: number,
+    itids: Vector<W, Int32Array, TID> = this.processing.itids,
+    ttids: Vector<W, Int32Array, TID> = this.processing.ttids,
+    o: Matrix<W, V, Float32Array> = this.processing.o,
+    ologits: Matrix<W, V, Float32Array> = this.processing.ologits,
+    file?: Writable,
+    llo: boolean = false,
+  ): Promise<void> {
+    if (!file) {
+      return;
+    }
+
+    for (let token = llo ? itids.dims - 1 : 0; token < itids.dims; token++) {
+      const os = (await o.get())[token];
+      const ls = (await ologits.get())[token]
+        .map((p, tid) => [p, tid])
+        .sort(([l], [r]) => r - l);
+
+      const point: LogitsPoint = {
+        sample,
+        token,
+        itid: this.tokenizer.detokenize([await itids.get(token)])[0],
+        ttid: this.tokenizer.detokenize([await ttids.get(token)])[0],
+        t0: this.tokenizer.detokenize([ls[0][1]])[0],
+        o0: os[ls[0][1]],
+        p0: ls[0][0],
+        t1: this.tokenizer.detokenize([ls[1][1]])[0],
+        o1: os[ls[1][1]],
+        p1: ls[1][0],
+        t2: this.tokenizer.detokenize([ls[2][1]])[0],
+        o2: os[ls[2][1]],
+        p2: ls[2][0],
+        tNm2: this.tokenizer.detokenize([ls[ls.length - 3][1]])[0],
+        oNm2: os[ls[ls.length - 3][1]],
+        pNm2: ls[ls.length - 3][0],
+        tNm1: this.tokenizer.detokenize([ls[ls.length - 2][1]])[0],
+        oNm1: os[ls[ls.length - 3][1]],
+        pNm1: ls[ls.length - 2][0],
+        tN: this.tokenizer.detokenize([ls[ls.length - 1][1]])[0],
+        oN: os[ls[ls.length - 1][1]],
+        pN: ls[ls.length - 1][0],
+        sum: (await ologits.get())[token].reduce((a, b) => a + b, 0),
+        stddev: stddev((await o.get())[token]),
+        entropy: -(await ologits.get())[token].reduce((sum, p) => sum + (p > 0 ? p * Math.log(p) : 0), 0),
+        loss: -Math.log((await ologits.get())[token][await ttids.get(token)] + 1e-10),
+      };
+      file.write(`${JSON.stringify(Object.values(point)).slice(1, -1)}\n`);
+    }
+  }
+
+  public async train(
+    duration: number | 'auto',
+    data: string,
+    { logs = process.stderr, stats, logits, samples, snapshot, statsInterval = 5000, snapshotInterval = 5000 }: {
+      logs?: Writable;
+      stats?: Writable;
+      logits?: Writable;
+      samples?: Writable;
+      snapshot?: (json: object) => void;
+      statsInterval?: number;
+      snapshotInterval?: number;
+    } = {},
+  ): Promise<void> {
+    logs.write('Training model...\n');
+
+    let logged = Date.now();
+    let snapshotted = Date.now();
+
+    const aw: number = 10;
+
+    const times = [];
+    const losses = [];
+
+    let epochs = duration === 'auto' ? Infinity : +duration;
+    const tids = this.tokenizer.tokenize(data);
+    const batches = tids.length - this.ws - 1;
+
+    let lr = 0.003;
+
+    for (let epoch = 0; epoch < epochs; epoch++) {
+      const idxs = randseq(tids.length);
+      for (let batch = 0; batch < batches; batch++) {
+        const begin: number = Date.now();
+
+        const si = idxs[batch];
+        await this.processing.itids.set(tids.slice(si, si + this.ws) as CPUVector<W>);
+        await this.processing.ttids.set(tids.slice(si + 1, si + 1 + this.ws) as CPUVector<W>);
+
+        const ilogits = await this.ilogits(this.processing.itids);
+        const e = await this.e(ilogits);
+        const q = this.q(e);
+        const k = this.k(e);
+        const v = this.v(e);
+        const s = this.s(q, k);
+        const wa = await this.wa(s);
+        const a = this.a(wa, v);
+        const o = this.o(a);
+        const ologits = await this.ologits(o);
+        await this.upd(ilogits, e, q, k, v, wa, a, ologits, this.processing.ttids, lr);
+
+        const queued: number = Date.now();
+
+        await this.device.queue.onSubmittedWorkDone();
+
+        const end: number = Date.now();
+
+        this.samples += 1;
+        times.push(end - begin);
+
+        if (
+          epoch === 0 && batch === 0
+          || batch === batches - 1
+          || end - logged > statsInterval
+        ) {
+          const point: TrainingPoint = {
+            index: this.samples,
+            timestamp: Date.now(),
+            epoch,
+            batch,
+            lr,
+            loss: 0,
+            accuracy: 0,
+            ginp: (await this.processing.ginp.get()).reduce((s, r) => r.reduce((s, v) => s + v * v, s), 0) / lr / lr,
+            gqry: (await this.processing.gtqry.get()).reduce((s, r) => r.reduce((s, v) => s + v * v, s), 0) / lr / lr,
+            gkey: (await this.processing.gtkey.get()).reduce((s, r) => r.reduce((s, v) => s + v * v, s), 0) / lr / lr,
+            gval: (await this.processing.gtval.get()).reduce((s, r) => r.reduce((s, v) => s + v * v, s), 0) / lr / lr,
+            gout: (await this.processing.gtout.get()).reduce((s, r) => r.reduce((s, v) => s + v * v, s), 0) / lr / lr,
+            queueing: 0,
+            computing: 0,
+            inferring: 0,
+          };
+          point.queueing = Date.now() - begin;
+          point.computing = Date.now() - queued;
+
+          const out = await this.otids(await this.rnd(), ologits).get();
+          const tgt = await this.processing.ttids.get();
+
+          const inferred: number = Date.now();
+
+          point.inferring = inferred - end;
+
+          point.accuracy = tgt.filter((t, i) => out[i] === t).length / tgt.length;
+
+          point.loss = this.loss(await ologits.get(), tgt);
+
+          losses.push(point.loss);
+
+          if (this.stage === 'early') {
+            lr = Math.max(0.001, Math.min(0.003, point.loss * 0.001));
+
+            if (losses.length > aw && (slope(losses.slice(-aw)) > -0.005 || stddev(losses.slice(-aw)) < 0.2)) {
+              logs?.write('Switching to mid stage.\n');
+              this.stage = 'mid';
+            }
+          } else if (this.stage === 'mid') {
+            lr = Math.max(0.0003, lr * 0.98);
+
+            if (losses.length > aw && Math.abs(slope(losses.slice(-aw))) < 0.002 && stddev(losses.slice(-aw)) < 0.05) {
+              logs?.write('Switching to end stage.\n');
+              this.stage = 'end';
+            }
+          } else {
+            lr = Math.max(1e-4, lr * 0.98);
+          }
+
+          logs?.write(`Done ${epoch * batches + batch + 1} / ${epochs * batches}, ETA ${Math.round(drm(times) * (epochs * batches - times.length) / 1000)}s\n`);
+          stats?.write(`${Object.values(point).join(',')}\n`);
+          await this.debug(this.samples, this.processing.itids, this.processing.ttids, o, ologits, logits);
+
+          logged = end;
+        }
+
+        if (batch === 0 && end - snapshotted > snapshotInterval) {
+          if (duration === 'auto' && this.stage === 'end' && losses.length > aw && (
+            Math.abs(slope(losses.slice(-aw))) < 0.001 && stddev(losses.slice(-aw)) < 0.001
+            || slope(losses.slice(-aw)) > 0.001
+            || stddev(losses.slice(-aw)) > 1)) {
+            logs?.write(`Ending training with slope=${slope(losses.slice(-aw))} stddev=${stddev(losses.slice(-aw))}.\n`);
+            epochs = 0;
+            break;
+          }
+
+          snapshot?.(await this.toJSON());
+
+          samples?.write(`Epoch ${epoch + 1}:\n`);
+          samples?.write('Sample (temp=0.3):\n');
+          samples?.write(this.tokenizer.detokenize(await this.run(this.tokenizer.tokenize('Hello?'), { temp: 0.3 })).join(''));
+          samples?.write('\nEnd of sample.\n');
+          samples?.write('Sample (temp=0.7):\n');
+          samples?.write(this.tokenizer.detokenize(await this.run(this.tokenizer.tokenize('Hello?'), { temp: 0.7 })).join(''));
+          samples?.write('\nEnd of sample.\n');
+          samples?.write('Sample (temp=1):\n');
+          samples?.write(this.tokenizer.detokenize(await this.run(this.tokenizer.tokenize('Hello?'), { temp: 1 })).join(''));
+          samples?.write('\nEnd of sample.\n');
+          samples?.write('Sample (temp=1.3):\n');
+          samples?.write(this.tokenizer.detokenize(await this.run(this.tokenizer.tokenize('Hello?'), { temp: 1.3 })).join(''));
+          samples?.write('\nEnd of sample.\n\n');
+          samples?.write('Sample (argmax):\n');
+          samples?.write(this.tokenizer.detokenize(await this.run(this.tokenizer.tokenize('Hello?'), { temp: 'max' })).join(''));
+          samples?.write('\nEnd of sample.\n\n');
+
+          snapshotted = end;
+        }
+      }
+    }
+    logs?.write('Training completed.\n');
+  }
+
+  public async transform(
+    tids: TID[],
+    { temp = 1, logits, llo = false }: {
+      temp?: number | 'max';
+      logits?: Writable;
+      llo?: boolean;
+    } = {},
+  ): Promise<[TID[], TID[]]> {
+    const itids = [
+      ...Array(Math.max(0, this.ws - tids.length)).fill(0),
+      ...tids.slice(-this.ws),
+    ];
+
+    await this.processing.itids.set(itids);
+    await this.processing.ttids.set([...itids.slice(1), 0]);
+    const ilogits = await this.ilogits(this.processing.itids);
+    const e = await this.e(ilogits);
+    const q = this.q(e);
+    const k = this.k(e);
+    const v = this.v(e);
+    const s = this.s(q, k);
+    const wa = await this.wa(s);
+    const a = this.a(wa, v);
+    const o = this.o(a);
+    const ologits = await this.ologits(o, temp === 'max' ? 1 : temp);
+    const out = temp === 'max' ? this.otids(ologits) : this.otids(await this.rnd(), ologits);
+    const otids = await out.get();
+
+    await this.debug(0, this.processing.itids, this.processing.ttids, o, ologits, logits, llo);
+
+    return [itids, otids];
+  }
+
+  public async run(
+    tids: TID[],
+    { temp = 1, samples = this.ws, logits }: {
+      temp?: number | 'max';
+      samples?: number;
+      logits?: Writable;
+    } = {},
+  ): Promise<TID[]> {
+    const result: TID[] = [];
+    while (result.length < samples) {
+      const [_, out] = await this.transform(tids, { temp, logits, llo: true });
+      const next: TID = out[this.ws - 1];
+      result.push(next);
+      tids.shift();
+      tids.push(next);
+    }
+    return result;
+  }
+
+  public async toJSON(): Promise<ModelData<V, W, D>> {
+    return {
+      tokenizer: `${this.tokenizer.tokens.length}${this.tokenizer.tokens[0]}`,
+      vs: this.vs,
+      ws: this.ws,
+      ds: this.ds,
+      stage: this.stage,
+      samples: this.samples,
+      weights: {
+        inp: await this.weights.inp.get(),
+        pos: await this.weights.pos.get(),
+        tqry: await this.weights.tqry.get(),
+        tkey: await this.weights.tkey.get(),
+        tval: await this.weights.tval.get(),
+        out: await this.weights.tout.get(),
+      },
+    };
+  }
+}

src/num.show.ts

@@ -1,9 +0,0 @@
-import { _, _l, g, n } from './core';
-import { iif } from './bool';
-import { fromNumber as _n, div, lt, mod, sum } from './num';
-import { char } from './char';
-import { Empty, append, cons } from './string';
-
-n('num.show');
-
-export const show = g('show', _l(n => iif._(lt._(n)._(_n(10)))._(cons._(char._(sum._(n)._(_n(48))))._(Empty))._(append._(show._(div._(n)._(_n(10))))._(show._(mod._(n)._(_n(10)))))));

src/num.ts

@@ -1,45 +0,0 @@
-import { $, Term, _, _l, cnst, g, id, n, pipe } from './core';
-import { EQ, GT, LT } from './ord';
-import { False, True, iif } from './bool';
-
-n('num');
-
-export const Zero = g('Zero', _l(z => _l(_ => z)));
-
-export const Succ = g('Succ', _l(p => _l(_ => _l(n => n._(p)))));
-
-export const ifz = g('ifz', _l(n => _l(t => _l(f => n._(t)._(cnst._(f))))));
-
-export const succ = g('succ', Succ);
-
-export const pred = g('pred', _l(n => n._(Zero)._(id)));
-
-export const cmp = g('cmp', _l(l => _l(r => l._(r._(EQ)._(cnst._(LT)))._(pipe._(r._(GT))._(cmp)))));
-
-export const lt = g('lt', _l(l => _l(r => r._(False)._(l._(cnst._(True))._(lt)))));
-
-export const le = g('le', _l(l => _l(r => l._(True)._(r._(cnst._(False))._(ge)))));
-
-export const eq = g('eq', _l(l => _l(r => l._(r._(True)._(cnst._(False)))._(r._(cnst._(False))._(eq)))));
-
-export const ge = g('ge', _l(l => _l(r => r._(True)._(l._(cnst._(False))._(ge)))));
-
-export const gt = g('gt', _l(l => _l(r => l._(False)._(r._(cnst._(True))._(lt)))));
-
-export const even = g('even', _l(n => n._(True)._(odd)));
-
-export const odd = g('odd', _l(n => n._(False)._(even)));
-
-export const sum = g('sum', _l(l => _l(r => r._(l)._(sum._(Succ._(l))))));
-
-export const sub = g('sub', _l(l => _l(r => r._(l)._(l._(cnst._(Zero))._(sub)))));
-
-export const mul = g('mul', _l(l => _l(r => l._(Zero)._(_l(pl => sum._(r)._(mul._(pl)._(r)))))));
-
-export const div = g('div', _l(l => _l(r => iif._(lt._(l)._(r))._(Zero)._(succ._(div._(sub._(l)._(r))._(r))))));
-
-export const mod = g('mod', _l(l => _l(r => iif._(lt._(l)._(r))._(l)._(mod._(sub._(l)._(r))._(r)))));
-
-export const fromNumber: (n: number) => Term = n => !n ? Zero : Succ._(_(() => fromNumber(n - 1)));
-
-export const toNumber: (n: Term) => number = n => $(n._(_(0))._(_l(p => _(({ p }) => _(1 + toNumber(p))))));

src/ord.show.ts

@@ -1,6 +0,0 @@
-import { _, _l, g, n } from './core';
-import { fromString as _s } from './string';
-
-n('ord.show');
-
-export const show = g('show', _l(o => o._(_s('LT'))._(_s('EQ'))._(_s('GT'))));

src/ord.ts

@@ -1,27 +0,0 @@
-import { $, Term, _, _l, g, n } from './core';
-import { False, True } from './bool';
-
-n('ord');
-
-export const enum NOrd {
-  LT,
-  EQ,
-  GT,
-};
-
-export const LT = g('LT', _l(lt => _l(_ => _l(_ => lt))));
-
-export const EQ = g('EQ', _l(_ => _l(eq => _l(_ => eq))));
-
-export const GT = g('GT', _l(_ => _l(_ => _l(gt => gt))));
-
-export const eq = g('eq', _l(l => _l(r => l
-  ._(r._(True)._(False)._(False))
-  ._(r._(False)._(True)._(False))
-  ._(r._(False)._(False)._(True)))));
-
-export const fromNOrd: (o: NOrd) => Term
-  = o => o === NOrd.LT ? LT : o === NOrd.EQ ? EQ : GT;
-
-export const toNOrd: (o: Term) => NOrd
-  = o => $(o._(_(NOrd.LT))._(_(NOrd.EQ))._(_(NOrd.GT)).reduce());

src/pair.show.ts

@@ -1,8 +0,0 @@
-import { _, _l, g, n } from './core';
-import { uncurry } from './pair';
-import { Nil, concat, cons } from './list';
-import { fromString as _s } from './string';
-
-n('pair.show');
-
-export const show = g('show', _l(fshow => _l(sshow => uncurry._(_l(f => _l(s => concat._(cons._(_s('('))._(cons._(fshow._(f))._(cons._(_s(', '))._(cons._(sshow._(s))._(cons._(_s(')'))._(Nil))))))))))));

src/pair.ts

@@ -1,32 +0,0 @@
-import { _, _l, g, n } from './core';
-import { GT, LT } from './ord';
-import { False, True, and } from './bool';
-import { fromString as _s } from './string';
-
-n('pair');
-
-export const Pair = g('Pair', _l(f => _l(s => _l(p => p._(f)._(s)))));
-
-export const fst = g('fst', _l(p => p._(_l(f => _l(_ => f)))));
-
-export const snd = g('snd', _l(p => p._(_l(_ => _l(s => s)))));
-
-export const first = g('first', _l(t => _l(p => p._(_l(f => _l(s => Pair._(t._(f))._(s)))))));
-
-export const second = g('second', _l(t => _l(p => p._(_l(f => _l(s => Pair._(f)._(t._(s))))))));
-
-export const both = g('both', _l(tf => _l(ts => _l(p => p._(_l(f => _l(s => Pair._(tf._(f))._(ts._(s)))))))));
-
-export const uncurry = g('uncurry', _l(t => _l(p => p._(t))));
-
-export const cmp = g('cmp', _l(fcmp => _l(scmp => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => fcmp._(lf)._(rf)._(LT)._(scmp._(ls)._(rs))._(GT))))))))));
-
-export const lt = g('lt', _l(fcmp => _l(scmp => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => fcmp._(lf)._(rf)._(True)._(scmp._(ls)._(rs)._(True)._(False)._(False))._(False))))))))));
-
-export const le = g('le', _l(fcmp => _l(scmp => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => fcmp._(lf)._(rf)._(True)._(scmp._(ls)._(rs)._(True)._(True)._(False))._(False))))))))));
-
-export const eq = g('eq', _l(feq => _l(seq => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => and._(feq._(lf)._(rf))._(seq._(ls)._(rs)))))))))));
-
-export const ge = g('ge', _l(fcmp => _l(scmp => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => fcmp._(lf)._(rf)._(False)._(scmp._(ls)._(rs)._(False)._(True)._(True))._(True))))))))));
-
-export const gt = g('gt', _l(fcmp => _l(scmp => uncurry._(_l(lf => _l(ls => uncurry._(_l(rf => _l(rs => fcmp._(lf)._(rf)._(False)._(scmp._(ls)._(rs)._(False)._(False)._(True))._(True))))))))));

src/string.show.ts

@@ -1,7 +0,0 @@
-import { _, g, n } from './core';
-import { fromChar as _c } from './char';
-import { fromString as _s, wrap } from './string';
-
-n('string.show');
-
-export const show = g('show', wrap._(_s('"')));

src/string.ts

@@ -1,29 +0,0 @@
-import { $, Term, _, _l, g, n } from './core';
-import { fromChar as _c, cmp as cmpc, eq as eqc, fromChar, toChar } from './char';
-import { Cons, Nil, append, cmp as cmpl, eq as eql, ge as gel, gt as gtl, le as lel, lt as ltl, nul } from './list';
-
-export { len, Cons, cons, snoc, append, repeat, iterate, get, update, set } from './list';
-
-n('string');
-
-export const Empty = g('Empty', Nil);
-
-export const empty = g('empty', nul);
-
-export const cmp = g('cmp', cmpl._(cmpc));
-
-export const lt = g('lt', ltl._(cmpc));
-
-export const le = g('le', lel._(cmpc));
-
-export const eq = g('eq', eql._(eqc));
-
-export const ge = g('ge', gel._(cmpc));
-
-export const gt = g('gt', gtl._(cmpc));
-
-export const wrap = g('wrap', _l(w => _l(c => append._(w)._(append._(c)._(w)))));
-
-export const fromString: (xs: string) => Term = s => !s.length ? Nil : Cons._(fromChar(s[0]))._(_(() => fromString(s.slice(1))));
-
-export const toString: (xs: Term) => string = s => $(s._(_(''))._(_l(x => _l(xs => _(({ x, xs }) => _(toChar(x) + toString(xs)))))));

src/tokenizer.ts

@@ -0,0 +1,160 @@
+import { GroupQueueBase, QueueItem } from './data/group-queue';
+import { List, ListItem } from './data/list';
+import { Trie } from './data/trie';
+
+interface InternalStringPairQueueItem extends QueueItem<ListItem<string>> {
+  prev?: StringPairQueueItem;
+  next?: StringPairQueueItem;
+}
+
+interface StringPairQueueItem extends QueueItem<ListItem<string>> {
+  readonly prev?: StringPairQueueItem;
+  readonly next?: StringPairQueueItem;
+}
+
+class StringPairQueue extends GroupQueueBase<string, ListItem<string>> {
+  protected items: Map<ListItem<string>, StringPairQueueItem>;
+
+  public constructor(values?: Iterable<ListItem<string>>) {
+    super();
+    this.items = new Map();
+    for (const v of values ?? []) {
+      this.insert(v);
+    }
+  }
+
+  protected override hash(v: ListItem<string>): string {
+    return `${v.value}$$$$${v.next.value}`;
+  }
+
+  override insert(value: ListItem<string>): StringPairQueueItem {
+    const item: StringPairQueueItem = super.insert(value);
+
+    const prev: StringPairQueueItem | undefined = this.items.get(value.prev);
+    const next: StringPairQueueItem | undefined = this.items.get(value.next);
+    (item as InternalStringPairQueueItem).prev = prev;
+    (item as InternalStringPairQueueItem).next = next;
+
+    if (prev) {
+      (prev as InternalStringPairQueueItem).next = item;
+    }
+    if (next) {
+      (next as InternalStringPairQueueItem).prev = item;
+    }
+
+    this.items.set(value, item);
+
+    return item;
+  }
+
+  override remove(item: StringPairQueueItem): boolean {
+    if (!super.remove(item)) {
+      return false;
+    }
+    if (item.prev) {
+      (item.prev as InternalStringPairQueueItem).next = undefined;
+    }
+    if (item.next) {
+      (item.next as InternalStringPairQueueItem).prev = undefined;
+    }
+    this.items.delete(item.value);
+    return true;
+  }
+}
+
+export type TID = number;
+
+export class Tokenizer {
+  protected trie: Trie;
+  protected list: string[];
+
+  public get tokens(): Readonly<string[]> {
+    return this.list;
+  }
+
+  protected train(size: number, text: string): void {
+    if (!text) {
+      return;
+    }
+
+    console.log('Gathering pairs.');
+
+    let log: number = Date.now();
+    const samples: number[] = [];
+
+    const tokens = new List(text);
+    const pairs: StringPairQueue = new StringPairQueue(tokens.items());
+    const vocab = new Set<string>(tokens);
+
+    console.log('Merging pairs.');
+
+    while (vocab.size < size) {
+      const begin: number = Date.now();
+
+      const items: List<StringPairQueueItem> | undefined = pairs.peek();
+      if (!items?.length) {
+        console.log('No merge found.');
+        break;
+      } else {
+        const { value: { value: a, next: { value: b } } } = items.first!;
+        const merged: string = a + b;
+        for (const item of items) {
+          if (!item.orphan) {
+            if (item.prev) {
+              pairs.remove(item.prev);
+            }
+            if (item.next) {
+              pairs.remove(item.next);
+            }
+
+            pairs.remove(item);
+            tokens.set(item.value, merged);
+            tokens.delete(item.value.next);
+
+            pairs.insert(item.value.prev);
+            pairs.insert(item.value);
+          }
+        }
+        vocab.add(merged);
+
+        const end: number = Date.now();
+        samples.push(end - begin);
+        if (end - log > 5000) {
+          console.log(`Merged ${vocab.size} / ${size}, ETA ${Math.round(samples.reduce((a, b) => a + b, 0) / samples.length * (size - vocab.size) / 1000)}s`);
+          log = end;
+        }
+      }
+    }
+    this.trie = new Trie([...vocab].sort((l, r) => r.length - l.length));
+  }
+
+  public constructor(size: number, text: string);
+  public constructor(data: object);
+  public constructor(sizeOrData: number | object, text?: string) {
+    if (text) {
+      this.trie = new Trie();
+      this.train(sizeOrData as number, text!);
+    } else {
+      this.trie = Trie.fromJSON(sizeOrData as object);
+    }
+    this.list = [...this.trie];
+  }
+
+  public tokenize(text: string): TID[] {
+    const tokens: string[] = [];
+    while (text.length) {
+      const match = this.trie.match(text);
+      tokens.push(match ?? text[0]);
+      text = text.slice(match?.length ?? 1);
+    }
+    return tokens.map(t => this.list.indexOf(t));
+  }
+
+  public detokenize(tids: TID[]): string[] {
+    return tids.map(t => this.list[t]);
+  }
+
+  public toJSON(): object {
+    return this.trie.toJSON();
+  }
+}

test/bf.spec.ts

@@ -1,48 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { _ } from '../src/core';
-import { fromChar as _c } from '../src/char';
-import { toString as $s, fromString as _s } from '../src/string';
-import { run } from '../src/bf';
-
-describe('BF', () => {
-  describe('run', () => {
-    it('handles output command', () => {
-      expect($s(run._(_s('.'))._(_s('')))).toBe(String.fromCharCode(0));
-    });
-
-    it('handles input command', () => {
-      expect($s(run._(_s(',.'))._(_s('a')))).toBe('a');
-    });
-
-    it('handles inc command', () => {
-      expect($s(run._(_s('+.'))._(_s('')))).toBe(String.fromCharCode(1));
-    });
-
-    it('handles dec command', () => {
-      expect($s(run._(_s('-.'))._(_s('')))).toBe(String.fromCharCode(255));
-    });
-
-    it('handles next command', () => {
-      expect($s(run._(_s('+++++>++.'))._(_s('')))).toBe(String.fromCharCode(2));
-    });
-
-    it('handles prev command', () => {
-      expect($s(run._(_s('+++++>++<+++++.'))._(_s('')))).toBe(String.fromCharCode(10));
-    });
-
-    it('skips loop block on zero', () => {
-      expect($s(run._(_s('[+++++].'))._(_s('')))).toBe(String.fromCharCode(0));
-    });
-
-    it('repeats loop block while not zero', () => {
-      expect($s(run._(_s('+++++[-].'))._(_s('')))).toBe(String.fromCharCode(0));
-    });
-
-    it('prints "Hello World!"', () => {
-      expect($s(run
-        ._(_s('++++++++[>++++[>++>+++>+++>+<<<<-]>+>+>->>+[<]<-]>>.>---.+++++++..+++.>>.<-.<.+++.------.--------.>>+.>++.'))
-        ._(_s(''))))
-        .toBe('Hello World!\n');
-    });
-  });
-});

test/bool.spec.ts

@@ -1,249 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { undef } from '../src/core';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, False, True, fromBoolean as _b, and, cmp, eq, ge, gt, iif, le, lt, not, or, xor } from '../src/bool';
-import { toString as $s } from '../src/string';
-import { show } from '../src/bool.show';
-
-describe('Bool', () => {
-  describe('toBoolean', () => {
-    it('converts True', () => {
-      expect($b(True)).toBe(true);
-    });
-
-    it('converts False', () => {
-      expect($b(False)).toBe(false);
-    });
-  });
-
-  describe('fromBoolean', () => {
-    it('converts true', () => {
-      expect($b(_b(true))).toBe(true);
-    });
-
-    it('converts false', () => {
-      expect($b(_b(false))).toBe(false);
-    });
-  });
-
-  describe('iif', () => {
-    it('returns true argument', () => {
-      expect($b(iif._(True)._(True)._(False))).toBe(true);
-    });
-
-    it('returns false argument', () => {
-      expect($b(iif._(False)._(True)._(False))).toBe(false);
-    });
-
-    it('ignores other argument', () => {
-      expect($b(iif._(True)._(True)._(undef))).toBe(true);
-      expect($b(iif._(False)._(undef)._(False))).toBe(false);
-    });
-  });
-
-  describe('not', () => {
-    it('not False is True', () => {
-      expect($b(not._(False))).toBe(true);
-    });
-
-    it('not True is False', () => {
-      expect($b(not._(True))).toBe(false);
-    });
-  });
-
-  describe('lt', () => {
-    it('False lt False is False', () => {
-      expect($b(lt._(False)._(False))).toBe(false);
-    });
-
-    it('False lt True is True', () => {
-      expect($b(lt._(False)._(True))).toBe(true);
-    });
-
-    it('True lt False is False', () => {
-      expect($b(lt._(True)._(False))).toBe(false);
-    });
-
-    it('True lt True is False', () => {
-      expect($b(lt._(True)._(True))).toBe(false);
-    });
-
-    it('True lt ignores second argument', () => {
-      expect($b(lt._(True)._(undef))).toBe(false);
-    });
-  });
-
-  describe('le', () => {
-    it('False le False is True', () => {
-      expect($b(le._(False)._(False))).toBe(true);
-    });
-
-    it('False le True is True', () => {
-      expect($b(le._(False)._(True))).toBe(true);
-    });
-
-    it('True le False is False', () => {
-      expect($b(le._(True)._(False))).toBe(false);
-    });
-
-    it('True le True is True', () => {
-      expect($b(le._(True)._(True))).toBe(true);
-    });
-
-    it('False le ignores second argument', () => {
-      expect($b(le._(False)._(undef))).toBe(true);
-    });
-  });
-
-  describe('eq', () => {
-    it('False eq False is True', () => {
-      expect($b(eq._(False)._(False))).toBe(true);
-    });
-
-    it('False eq True is False', () => {
-      expect($b(eq._(False)._(True))).toBe(false);
-    });
-
-    it('True eq False is False', () => {
-      expect($b(eq._(True)._(False))).toBe(false);
-    });
-
-    it('True eq True is True', () => {
-      expect($b(eq._(True)._(True))).toBe(true);
-    });
-  });
-
-  describe('ge', () => {
-    it('False ge False is True', () => {
-      expect($b(ge._(False)._(False))).toBe(true);
-    });
-
-    it('False ge True is False', () => {
-      expect($b(ge._(False)._(True))).toBe(false);
-    });
-
-    it('True ge False is True', () => {
-      expect($b(ge._(True)._(False))).toBe(true);
-    });
-
-    it('True ge True is True', () => {
-      expect($b(ge._(True)._(True))).toBe(true);
-    });
-
-    it('True ge ignores second argument', () => {
-      expect($b(ge._(True)._(undef))).toBe(true);
-    });
-  });
-
-  describe('gt', () => {
-    it('False gt False is False', () => {
-      expect($b(gt._(False)._(False))).toBe(false);
-    });
-
-    it('False gt True is False', () => {
-      expect($b(gt._(False)._(True))).toBe(false);
-    });
-
-    it('True gt False is True', () => {
-      expect($b(gt._(True)._(False))).toBe(true);
-    });
-
-    it('True gt True is False', () => {
-      expect($b(gt._(True)._(True))).toBe(false);
-    });
-
-    it('False gt ignores second argument', () => {
-      expect($b(gt._(False)._(undef))).toBe(false);
-    });
-  });
-
-  describe('cmp', () => {
-    it('False cmp False is EQ', () => {
-      expect($o(cmp._(False)._(False))).toBe(NOrd.EQ);
-    });
-
-    it('False cmp True is LT', () => {
-      expect($o(cmp._(False)._(True))).toBe(NOrd.LT);
-    });
-
-    it('True cmp False is GT', () => {
-      expect($o(cmp._(True)._(False))).toBe(NOrd.GT);
-    });
-
-    it('True cmp True is EQ', () => {
-      expect($o(cmp._(True)._(True))).toBe(NOrd.EQ);
-    });
-  });
-
-  describe('and', () => {
-    it('False and False is False', () => {
-      expect($b(and._(False)._(False))).toBe(false);
-    });
-
-    it('False and True is False', () => {
-      expect($b(and._(False)._(True))).toBe(false);
-    });
-
-    it('True and False is False', () => {
-      expect($b(and._(True)._(False))).toBe(false);
-    });
-
-    it('True and True is True', () => {
-      expect($b(and._(True)._(True))).toBe(true);
-    });
-
-    it('False and ignores other argument', () => {
-      expect($b(and._(False)._(undef))).toBe(false);
-    });
-  });
-
-  describe('or', () => {
-    it('False or False is False', () => {
-      expect($b(or._(False)._(False))).toBe(false);
-    });
-
-    it('False or True is True', () => {
-      expect($b(or._(False)._(True))).toBe(true);
-    });
-
-    it('True or False is True', () => {
-      expect($b(or._(True)._(False))).toBe(true);
-    });
-
-    it('True or True is True', () => {
-      expect($b(or._(True)._(True))).toBe(true);
-    });
-
-    it('True or ignores other argument', () => {
-      expect($b(or._(True)._(undef))).toBe(true);
-    });
-  });
-
-  describe('xor', () => {
-    it('False xor False is False', () => {
-      expect($b(xor._(False)._(False))).toBe(false);
-    });
-
-    it('False xor True is True', () => {
-      expect($b(xor._(False)._(True))).toBe(true);
-    });
-
-    it('True xor False is True', () => {
-      expect($b(xor._(True)._(False))).toBe(true);
-    });
-
-    it('True xor True is False', () => {
-      expect($b(xor._(True)._(True))).toBe(false);
-    });
-  });
-
-  describe('show', () => {
-    it('show False is "False"', () => {
-      expect($s(show._(False))).toBe('False');
-    });
-
-    it('show True is "True"', () => {
-      expect($s(show._(True))).toBe('True');
-    });
-  });
-});

test/byte.spec.ts

@@ -1,476 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { undef } from '../src/core';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, fromBoolean as _b } from '../src/bool';
-import { toNumber as $n, Inc, fromNumber as _n, cmp, dec, div, eq, ge, gt, ifz, inc, le, lt, mod, mul, sub, sum, x00 } from '../src/byte';
-import { toString as $s } from '../src/string';
-import { show } from '../src/byte.show';
-
-describe('Byte', () => {
-  describe('toNumber', () => {
-    it('converts 0', () => {
-      expect($n(x00)).toBe(0);
-    });
-
-    it('converts 1', () => {
-      expect($n(Inc._(x00))).toBe(1);
-    });
-
-    it('converts 2', () => {
-      expect($n(Inc._(Inc._(x00)))).toBe(2);
-    });
-  });
-
-  describe('fromNumber', () => {
-    it('converts 0', () => {
-      expect($n(_n(0))).toBe(0);
-    });
-
-    it('converts 1', () => {
-      expect($n(_n(1))).toBe(1);
-    });
-
-    it('converts 2', () => {
-      expect($n(_n(2))).toBe(2);
-    });
-
-    it('converts 300', () => {
-      expect($n(_n(300))).toBe(44);
-    });
-  });
-
-  describe('ifz', () => {
-    it('returns zero branch', () => {
-      expect($b(ifz._(_n(0))._(_b(true))._(_b(false)))).toBe(true);
-    });
-
-    it('returns non-zero branch', () => {
-      expect($b(ifz._(_n(1))._(_b(true))._(_b(false)))).toBe(false);
-    });
-
-    it('returns non-zero branch', () => {
-      expect($b(ifz._(_n(10))._(_b(true))._(_b(false)))).toBe(false);
-    });
-
-    it('skips other branch', () => {
-      expect($b(ifz._(_n(0))._(_b(true))._(undef))).toBe(true);
-      expect($b(ifz._(_n(1))._(undef)._(_b(false)))).toBe(false);
-    });
-  });
-
-  describe('inc', () => {
-    it('inc 0 is 1', () => {
-      expect($n(inc._(_n(0)))).toBe(1);
-    });
-
-    it('inc 1 is 2', () => {
-      expect($n(inc._(_n(1)))).toBe(2);
-    });
-
-    it('inc 10 is 11', () => {
-      expect($n(inc._(_n(10)))).toBe(11);
-    });
-
-    it('inc 255 is 0', () => {
-      expect($n(inc._(_n(255)))).toBe(0);
-    });
-  });
-
-  describe('dec', () => {
-    it('dec 0 is 255', () => {
-      expect($n(dec._(_n(0)))).toBe(255);
-    });
-
-    it('dec 1 is 0', () => {
-      expect($n(dec._(_n(1)))).toBe(0);
-    });
-
-    it('dec 10 is 9', () => {
-      expect($n(dec._(_n(10)))).toBe(9);
-    });
-
-    it('dec 255 is 254', () => {
-      expect($n(dec._(_n(255)))).toBe(254);
-    });
-  });
-
-  describe('cmp', () => {
-    it('0 cmp 0 is EQ', () => {
-      expect($o(cmp._(_n(0))._(_n(0)))).toBe(NOrd.EQ);
-    });
-
-    it('0 cmp 1 is LT', () => {
-      expect($o(cmp._(_n(0))._(_n(1)))).toBe(NOrd.LT);
-    });
-
-    it('1 cmp 0 is GT', () => {
-      expect($o(cmp._(_n(1))._(_n(0)))).toBe(NOrd.GT);
-    });
-
-    it('3 cmp 3 is EQ', () => {
-      expect($o(cmp._(_n(3))._(_n(3)))).toBe(NOrd.EQ);
-    });
-
-    it('3 cmp 7 is LT', () => {
-      expect($o(cmp._(_n(3))._(_n(7)))).toBe(NOrd.LT);
-    });
-
-    it('7 cmp 3 is GT', () => {
-      expect($o(cmp._(_n(7))._(_n(3)))).toBe(NOrd.GT);
-    });
-
-    it('0 cmp 255 is LT', () => {
-      expect($o(cmp._(_n(0))._(_n(255)))).toBe(NOrd.LT);
-    });
-
-    it('255 cmp 0 is GT', () => {
-      expect($o(cmp._(_n(255))._(_n(0)))).toBe(NOrd.GT);
-    });
-
-    it('255 cmp 255 is EQ', () => {
-      expect($o(cmp._(_n(255))._(_n(255)))).toBe(NOrd.EQ);
-    });
-  });
-
-  describe('lt', () => {
-    it('0 lt 0 is False', () => {
-      expect($b(lt._(_n(0))._(_n(0)))).toBe(false);
-    });
-
-    it('0 lt 1 is True', () => {
-      expect($b(lt._(_n(0))._(_n(1)))).toBe(true);
-    });
-
-    it('1 lt 0 is False', () => {
-      expect($b(lt._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 lt 3 is False', () => {
-      expect($b(lt._(_n(3))._(_n(3)))).toBe(false);
-    });
-
-    it('3 lt 7 is True', () => {
-      expect($b(lt._(_n(3))._(_n(7)))).toBe(true);
-    });
-
-    it('7 lt 3 is False', () => {
-      expect($b(lt._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('0 lt 255 is True', () => {
-      expect($b(lt._(_n(0))._(_n(255)))).toBe(true);
-    });
-
-    it('255 lt 0 is False', () => {
-      expect($b(lt._(_n(255))._(_n(0)))).toBe(false);
-    });
-
-    it('255 lt 255 is False', () => {
-      expect($b(lt._(_n(255))._(_n(255)))).toBe(false);
-    });
-  });
-
-  describe('le', () => {
-    it('0 le 0 is True', () => {
-      expect($b(le._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 le 1 is True', () => {
-      expect($b(le._(_n(0))._(_n(1)))).toBe(true);
-    });
-
-    it('1 le 0 is False', () => {
-      expect($b(le._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 le 3 is True', () => {
-      expect($b(le._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 le 7 is True', () => {
-      expect($b(le._(_n(3))._(_n(7)))).toBe(true);
-    });
-
-    it('7 le 3 is False', () => {
-      expect($b(le._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('0 le 255 is True', () => {
-      expect($b(le._(_n(0))._(_n(255)))).toBe(true);
-    });
-
-    it('255 le 0 is False', () => {
-      expect($b(le._(_n(255))._(_n(0)))).toBe(false);
-    });
-
-    it('255 le 255 is True', () => {
-      expect($b(le._(_n(255))._(_n(255)))).toBe(true);
-    });
-
-    it('0 le skips second argument', () => {
-      expect($b(le._(_n(0))._(undef))).toBe(true);
-    });
-  });
-
-  describe('eq', () => {
-    it('0 eq 0 is True', () => {
-      expect($b(eq._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 eq 1 is False', () => {
-      expect($b(eq._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 eq 0 is False', () => {
-      expect($b(eq._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 eq 3 is True', () => {
-      expect($b(eq._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 eq 7 is False', () => {
-      expect($b(eq._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 eq 3 is False', () => {
-      expect($b(eq._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('0 eq 255 is False', () => {
-      expect($b(eq._(_n(0))._(_n(255)))).toBe(false);
-    });
-
-    it('255 eq 0 is False', () => {
-      expect($b(eq._(_n(255))._(_n(0)))).toBe(false);
-    });
-
-    it('255 eq 255 is True', () => {
-      expect($b(eq._(_n(255))._(_n(255)))).toBe(true);
-    });
-  });
-
-  describe('ge', () => {
-    it('0 ge 0 is True', () => {
-      expect($b(ge._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 ge 1 is False', () => {
-      expect($b(ge._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 ge 0 is True', () => {
-      expect($b(ge._(_n(1))._(_n(0)))).toBe(true);
-    });
-
-    it('3 ge 3 is True', () => {
-      expect($b(ge._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 ge 7 is False', () => {
-      expect($b(ge._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 ge 3 is True', () => {
-      expect($b(ge._(_n(7))._(_n(3)))).toBe(true);
-    });
-
-    it('0 ge 255 is False', () => {
-      expect($b(ge._(_n(0))._(_n(255)))).toBe(false);
-    });
-
-    it('255 ge 0 is True', () => {
-      expect($b(ge._(_n(255))._(_n(0)))).toBe(true);
-    });
-
-    it('255 ge 255 is True', () => {
-      expect($b(ge._(_n(255))._(_n(255)))).toBe(true);
-    });
-
-    it('ge 0 skips first argument', () => {
-      expect($b(ge._(undef)._(_n(0)))).toBe(true);
-    });
-  });
-
-  describe('gt', () => {
-    it('0 gt 0 is False', () => {
-      expect($b(gt._(_n(0))._(_n(0)))).toBe(false);
-    });
-
-    it('0 gt 1 is False', () => {
-      expect($b(gt._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 gt 0 is True', () => {
-      expect($b(gt._(_n(1))._(_n(0)))).toBe(true);
-    });
-
-    it('3 gt 3 is False', () => {
-      expect($b(gt._(_n(3))._(_n(3)))).toBe(false);
-    });
-
-    it('3 gt 7 is False', () => {
-      expect($b(gt._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 gt 3 is True', () => {
-      expect($b(gt._(_n(7))._(_n(3)))).toBe(true);
-    });
-
-    it('0 gt 255 is False', () => {
-      expect($b(gt._(_n(0))._(_n(255)))).toBe(false);
-    });
-
-    it('255 gt 0 is True', () => {
-      expect($b(gt._(_n(255))._(_n(0)))).toBe(true);
-    });
-
-    it('255 gt 255 is False', () => {
-      expect($b(gt._(_n(255))._(_n(255)))).toBe(false);
-    });
-  });
-
-  describe('sum', () => {
-    it('0 sum 0 is 0', () => {
-      expect($n(sum._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 sum 1 is 1', () => {
-      expect($n(sum._(_n(0))._(_n(1)))).toBe(1);
-    });
-
-    it('1 sum 0 is 1', () => {
-      expect($n(sum._(_n(1))._(_n(0)))).toBe(1);
-    });
-
-    it('3 sum 4 is 7', () => {
-      expect($n(sum._(_n(3))._(_n(4)))).toBe(7);
-    });
-
-    it('200 sum 200 is 144', () => {
-      expect($n(sum._(_n(200))._(_n(200)))).toBe(144);
-    });
-  });
-
-  describe('sub', () => {
-    it('0 sub 0 is 0', () => {
-      expect($n(sub._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 sub 1 is 255', () => {
-      expect($n(sub._(_n(0))._(_n(1)))).toBe(255);
-    });
-
-    it('1 sub 0 is 1', () => {
-      expect($n(sub._(_n(1))._(_n(0)))).toBe(1);
-    });
-
-    it('7 sub 4 is 3', () => {
-      expect($n(sub._(_n(7))._(_n(4)))).toBe(3);
-    });
-
-    it('4 sub 7 is 253', () => {
-      expect($n(sub._(_n(4))._(_n(7)))).toBe(253);
-    });
-  });
-
-  describe('mul', () => {
-    it('0 mul 0 is 0', () => {
-      expect($n(mul._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 mul 10 is 0', () => {
-      expect($n(mul._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('10 mul 0 is 0', () => {
-      expect($n(mul._(_n(1))._(_n(0)))).toBe(0);
-    });
-
-    it('1 mul 10 is 10', () => {
-      expect($n(mul._(_n(1))._(_n(10)))).toBe(10);
-    });
-
-    it('10 mul 1 is 10', () => {
-      expect($n(mul._(_n(10))._(_n(1)))).toBe(10);
-    });
-
-    it('3 mul 4 is 12', () => {
-      expect($n(mul._(_n(3))._(_n(4)))).toBe(12);
-    });
-
-    it('100 mul 100 is 12', () => {
-      expect($n(mul._(_n(3))._(_n(4)))).toBe(12);
-    });
-
-    it('0 mul ignores second argument', () => {
-      expect($n(mul._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('div', () => {
-    it('0 div 10 is 0', () => {
-      expect($n(div._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('1 div 10 is 0', () => {
-      expect($n(div._(_n(1))._(_n(10)))).toBe(0);
-    });
-
-    it('10 div 1 is 10', () => {
-      expect($n(div._(_n(10))._(_n(1)))).toBe(10);
-    });
-
-    it('10 div 5 is 2', () => {
-      expect($n(div._(_n(10))._(_n(5)))).toBe(2);
-    });
-
-    it('10 div 3 is 3', () => {
-      expect($n(div._(_n(10))._(_n(3)))).toBe(3);
-    });
-
-    it.failing('0 div ignores second argument', () => {
-      expect($n(div._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('mod', () => {
-    it('0 mod 10 is 0', () => {
-      expect($n(mod._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('1 mod 10 is 1', () => {
-      expect($n(mod._(_n(1))._(_n(10)))).toBe(1);
-    });
-
-    it('10 mod 1 is 0', () => {
-      expect($n(mod._(_n(10))._(_n(1)))).toBe(0);
-    });
-
-    it('10 mod 5 is 0', () => {
-      expect($n(mod._(_n(10))._(_n(5)))).toBe(0);
-    });
-
-    it('10 mod 3 is 1', () => {
-      expect($n(mod._(_n(10))._(_n(3)))).toBe(1);
-    });
-
-    it.failing('0 mod ignores second argument', () => {
-      expect($n(mod._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('show', () => {
-    it('show 0 is "0"', () => {
-      expect($s(show._(_n(0)))).toBe('0');
-    });
-
-    it('show 1 is "1"', () => {
-      expect($s(show._(_n(1)))).toBe('1');
-    });
-
-    it('show 255 is "255"', () => {
-      expect($s(show._(_n(255)))).toBe('255');
-    });
-  });
-});

test/char.spec.ts

@@ -1,215 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, fromBoolean as _b } from '../src/bool';
-import { fromNumber as _n } from '../src/byte';
-import { toChar as $c, fromChar as _c, cmp, eq, ge, gt, le, lt } from '../src/char';
-import { toString as $s } from '../src/string';
-import { show } from '../src/char.show';
-
-describe('Char', () => {
-  describe('toChar', () => {
-    it('converts "0"', () => {
-      expect($c(_n(48))).toBe('0');
-    });
-
-    it('converts "a"', () => {
-      expect($c(_n(97))).toBe('a');
-    });
-
-    it('converts "Z"', () => {
-      expect($c(_n(90))).toBe('Z');
-    });
-
-    it('converts "-"', () => {
-      expect($c(_n(45))).toBe('-');
-    });
-  });
-
-  describe('fromChar', () => {
-    it('converts "0"', () => {
-      expect($c(_c('0'))).toBe('0');
-    });
-
-    it('converts "a"', () => {
-      expect($c(_c('a'))).toBe('a');
-    });
-
-    it('converts "Z"', () => {
-      expect($c(_c('Z'))).toBe('Z');
-    });
-
-    it('converts "-"', () => {
-      expect($c(_c('-'))).toBe('-');
-    });
-  });
-
-  describe('cmp', () => {
-    it('"0" cmp "0" is EQ', () => {
-      expect($o(cmp._(_c('0'))._(_c('0')))).toBe(NOrd.EQ);
-    });
-
-    it('"0" cmp "a" is LT', () => {
-      expect($o(cmp._(_c('0'))._(_c('a')))).toBe(NOrd.LT);
-    });
-
-    it('"a" cmp "0" is GT', () => {
-      expect($o(cmp._(_c('a'))._(_c('0')))).toBe(NOrd.GT);
-    });
-
-    it('"z" cmp "z" is EQ', () => {
-      expect($o(cmp._(_c('z'))._(_c('z')))).toBe(NOrd.EQ);
-    });
-
-    it('"z" cmp "-" is GT', () => {
-      expect($o(cmp._(_c('z'))._(_c('-')))).toBe(NOrd.GT);
-    });
-
-    it('"-" cmp "z" is LT', () => {
-      expect($o(cmp._(_c('-'))._(_c('z')))).toBe(NOrd.LT);
-    });
-  });
-
-  describe('lt', () => {
-    it('"0" lt "0" is False', () => {
-      expect($b(lt._(_c('0'))._(_c('0')))).toBe(false);
-    });
-
-    it('"0" lt "a" is True', () => {
-      expect($b(lt._(_c('0'))._(_c('a')))).toBe(true);
-    });
-
-    it('"a" lt "0" is False', () => {
-      expect($b(lt._(_c('a'))._(_c('0')))).toBe(false);
-    });
-
-    it('"z" lt "z" is False', () => {
-      expect($b(lt._(_c('z'))._(_c('z')))).toBe(false);
-    });
-
-    it('"z" lt "-" is False', () => {
-      expect($b(lt._(_c('z'))._(_c('-')))).toBe(false);
-    });
-
-    it('"-" lt "z" is True', () => {
-      expect($b(lt._(_c('-'))._(_c('z')))).toBe(true);
-    });
-  });
-
-  describe('le', () => {
-    it('"0" le "0" is True', () => {
-      expect($b(le._(_c('0'))._(_c('0')))).toBe(true);
-    });
-
-    it('"0" le "a" is True', () => {
-      expect($b(le._(_c('0'))._(_c('a')))).toBe(true);
-    });
-
-    it('"a" le "0" is False', () => {
-      expect($b(le._(_c('a'))._(_c('0')))).toBe(false);
-    });
-
-    it('"z" le "z" is True', () => {
-      expect($b(le._(_c('z'))._(_c('z')))).toBe(true);
-    });
-
-    it('"z" le "-" is False', () => {
-      expect($b(le._(_c('z'))._(_c('-')))).toBe(false);
-    });
-
-    it('"-" le "z" is True', () => {
-      expect($b(le._(_c('-'))._(_c('z')))).toBe(true);
-    });
-  });
-
-  describe('eq', () => {
-    it('"0" eq "0" is True', () => {
-      expect($b(eq._(_c('0'))._(_c('0')))).toBe(true);
-    });
-
-    it('"0" eq "a" is False', () => {
-      expect($b(eq._(_c('0'))._(_c('a')))).toBe(false);
-    });
-
-    it('"a" eq "0" is False', () => {
-      expect($b(eq._(_c('a'))._(_c('0')))).toBe(false);
-    });
-
-    it('"z" eq "z" is True', () => {
-      expect($b(eq._(_c('z'))._(_c('z')))).toBe(true);
-    });
-
-    it('"z" eq "-" is False', () => {
-      expect($b(eq._(_c('z'))._(_c('-')))).toBe(false);
-    });
-
-    it('"-" eq "z" is False', () => {
-      expect($b(eq._(_c('-'))._(_c('z')))).toBe(false);
-    });
-  });
-
-  describe('ge', () => {
-    it('"0" ge "0" is True', () => {
-      expect($b(ge._(_c('0'))._(_c('0')))).toBe(true);
-    });
-
-    it('"0" ge "a" is False', () => {
-      expect($b(ge._(_c('0'))._(_c('a')))).toBe(false);
-    });
-
-    it('"a" ge "0" is True', () => {
-      expect($b(ge._(_c('a'))._(_c('0')))).toBe(true);
-    });
-
-    it('"z" ge "z" is True', () => {
-      expect($b(ge._(_c('z'))._(_c('z')))).toBe(true);
-    });
-
-    it('"z" ge "-" is True', () => {
-      expect($b(ge._(_c('z'))._(_c('-')))).toBe(true);
-    });
-
-    it('"-" ge "z" is False', () => {
-      expect($b(ge._(_c('-'))._(_c('z')))).toBe(false);
-    });
-  });
-
-  describe('gt', () => {
-    it('"0" gt "0" is False', () => {
-      expect($b(gt._(_c('0'))._(_c('0')))).toBe(false);
-    });
-
-    it('"0" gt "a" is False', () => {
-      expect($b(gt._(_c('0'))._(_c('a')))).toBe(false);
-    });
-
-    it('"a" gt "0" is True', () => {
-      expect($b(gt._(_c('a'))._(_c('0')))).toBe(true);
-    });
-
-    it('"z" gt "z" is False', () => {
-      expect($b(gt._(_c('z'))._(_c('z')))).toBe(false);
-    });
-
-    it('"z" gt "-" is True', () => {
-      expect($b(gt._(_c('z'))._(_c('-')))).toBe(true);
-    });
-
-    it('"-" gt "z" is False', () => {
-      expect($b(gt._(_c('-'))._(_c('z')))).toBe(false);
-    });
-  });
-
-  describe('show', () => {
-    it('show "0" is "\'0\'"', () => {
-      expect($s(show._(_c('0')))).toBe('\'0\'');
-    });
-
-    it('show "a" is "\'a\'"', () => {
-      expect($s(show._(_c('a')))).toBe('\'a\'');
-    });
-
-    it('show "-" is "\'-\'"', () => {
-      expect($s(show._(_c('-')))).toBe('\'-\'');
-    });
-  });
-});

test/core.spec.ts

@@ -1,24 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { $, _, cnst, id, undef } from '../src/core';
-
-describe('id', () => {
-  it('returns first argument', () => {
-    expect($(id._(_('first')))).toBe('first');
-  });
-});
-
-describe('cnst', () => {
-  it('returns first argument after receiving second', () => {
-    expect($(cnst._(_('first'))._(_('second')))).toBe('first');
-  });
-
-  it('ignores second argument', () => {
-    expect($(cnst._(_('first'))._(undef))).toBe('first');
-  });
-});
-
-describe('pipe', () => {
-  it.failing('applies both functions in order', () => {
-    expect('Not implemented').toBe('Implemented');
-  });
-});

test/group-queue.spec.ts

@@ -0,0 +1,57 @@
+import { describe, expect, it } from '@jest/globals';
+import { GroupQueue, QueueItem } from '../src/data/group-queue';
+import { List } from '../src/data/list';
+
+describe('GroupQueue', () => {
+  function json<T>(list: List<QueueItem<T>>): T[] {
+    return [...list].map(({ value }) => value);
+  }
+
+  describe('from array', () => {
+    it('[]', () => expect([...new GroupQueue([])].map(json)).toEqual([]));
+    it('[1]', () => expect([...new GroupQueue([1])].map(json)).toEqual([[1]]));
+    it('["b", "c", "b", "c"]', () => expect([...new GroupQueue(['b', 'c', 'b', 'c'])].map(json)).toEqual([['b', 'b'], ['c', 'c']]));
+  });
+
+  describe('length', () => {
+    it('[]', () => expect(new GroupQueue([]).length).toEqual(0));
+    it('[1]', () => expect(new GroupQueue([1]).length).toEqual(1));
+    it('["b", "c", "b", "c"]', () => expect(new GroupQueue(['b', 'c', 'b', 'c']).length).toEqual(2));
+  });
+
+  describe('insert', () => {
+    function insert<T>(queue: GroupQueue<T>, value: T): T[][] {
+      queue.insert(value);
+      return [...queue].map(json);
+    }
+    it('0 -> []', () => expect([...insert(new GroupQueue<number>([]), 0)]).toEqual([[0]]));
+    it('0 -> [1]', () => expect([...insert(new GroupQueue([1]), 0)]).toEqual([[1], [0]]));
+    it('1 -> [1]', () => expect([...insert(new GroupQueue([1]), 1)]).toEqual([[1, 1]]));
+    it('"d" -> ["b", "c", "b", "c"]', () => expect([...insert(new GroupQueue(['b', 'c', 'b', 'c']), 'd')]).toEqual([['b', 'b'], ['c', 'c'], ['d']]));
+    it('"b" -> ["b", "c", "b", "c"]', () => expect([...insert(new GroupQueue(['b', 'c', 'b', 'c']), 'b')]).toEqual([['b', 'b', 'b'], ['c', 'c']]));
+  });
+
+  describe('itemOf / remove', () => {
+    function remove<T>(queue: GroupQueue<T>, value: T): T[][] {
+      const item = queue.itemOf(value);
+      if (item) {
+        queue.remove(item);
+      }
+      return [...queue].map(json);
+    }
+    it('[] - 0', () => expect([...remove(new GroupQueue<number>([]), 0)]).toEqual([]));
+    it('[1] - 0', () => expect([...remove(new GroupQueue([1]), 0)]).toEqual([[1]]));
+    it('[1] - 1', () => expect([...remove(new GroupQueue([1]), 1)]).toEqual([]));
+    it('["b", "c", "b", "c"] - "d"', () => expect([...remove(new GroupQueue(['b', 'c', 'b', 'c']), 'd')]).toEqual([['b', 'b'], ['c', 'c']]));
+    it('["b", "c", "b", "c"] - "b"', () => expect([...remove(new GroupQueue(['b', 'c', 'b', 'c']), 'b')]).toEqual([['c', 'c'], ['b']]));
+  });
+
+  describe('pop', () => {
+    function pop<T>(queue: GroupQueue<T>): [T[], T[][]] {
+      return [[...queue.pop() ?? []].map(({ value }) => value), [...queue].map(json)];
+    }
+    it('[]', () => expect([...pop(new GroupQueue<number>([]))]).toEqual([[], []]));
+    it('[1]', () => expect([...pop(new GroupQueue([1]))]).toEqual([[1], []]));
+    it('["b", "c", "b", "c"]', () => expect([...pop(new GroupQueue(['b', 'c', 'b', 'c']))]).toEqual([['b', 'b'], [['c', 'c']]]));
+  });
+});

test/list.spec.ts

@@ -1,726 +1,88 @@
 import { describe, expect, it } from '@jest/globals';
-import { $, Term, _, _l, g, n, undef } from '../src/core';
+import { List, ListItem } from '../src/data/list';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, iif } from '../src/bool';
-import { toNumber as $n, Succ, Zero, fromNumber as _n, fromNumber as _nn, cmp as cmpn, eq as eqn, even, gt as ngt, odd, succ, sum } from '../src/num';
-import { toArray as $a, Cons, Nil, fromArray as _a, all, any, append, cmp, concat, cons, eq, filter, foldl, foldlz, foldr, foldrz, ge, get, gt, head, intersperse, iterate, le, len, lt, map, nul, set, singleton, snoc, tail, update } from '../src/list';
-import { toChar as $c } from '../src/char';
-import { toString as $s } from '../src/string';
-import { show as nshow } from '../src/num.show';
-import { show } from '../src/list.show';
-
-n('list.spec');
 
 describe('List', () => {
-  const infinite: Term = g('infinite', iterate._(Succ)._(Zero));
+  describe('from / to array', () => {
-
+    it('[]', () => expect([...new List([])]).toEqual([]));
-  const _na: (xs: number[]) => Term = xs => !xs.length ? Nil : Cons._(_n(xs[0]))._(_(() => _na(xs.slice(1))));
+    it('[1]', () => expect([...new List([1])]).toEqual([1]));
-
+    it('["b", "c", "b", "c"]', () => expect([...new List(['b', 'c', 'b', 'c'])]).toEqual(['b', 'c', 'b', 'c']));
-  const $na: (xs: Term) => number[] = xs => $(xs._(_([]))._(_l(x => _l(xs => _(({ x, xs }) => _([$n(x), ...$na(xs)]))))));
-
-  describe('toArray', () => {
-    it('converts []', () => {
-      expect($a(Nil)).toEqual([]);
-    });
-
-    it('converts [0]', () => {
-      expect($a(Cons._(_n(0))._(Nil)).map($n)).toEqual([0]);
-    });
-
-    it('converts [0, 1]', () => {
-      expect($a(Cons._(_n(0))._(Cons._(_n(1))._(Nil))).map($n)).toEqual([0, 1]);
-    });
-  });
-
-  describe('fromArray', () => {
-    it('converts []', () => {
-      expect($a(_a([]))).toEqual([]);
-    });
-
-    it('converts [0]', () => {
-      expect($a(_a([0].map(_n))).map($n)).toEqual([0]);
-    });
-
-    it('converts 2', () => {
-      expect($a(_a([0, 1].map(_n))).map($n)).toEqual([0, 1]);
-    });
-  });
-
-  describe('cons', () => {
-    it('0 cons Nil is [0]', () => {
-      expect($na(cons._(_n(0))._(Nil))).toEqual([0]);
-    });
-
-    it('0 cons [1] is [0, 1]', () => {
-      expect($na(cons._(_n(0))._(_na([1])))).toEqual([0, 1]);
-    });
-
-    it('0 cons [1, 2] is [0, 1, 2]', () => {
-      expect($na(cons._(_n(0))._(_na([1, 2])))).toEqual([0, 1, 2]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(cons._(_n(0))._(infinite)._(undef)._(_l(x => _l(_ => x))))).toBe(0);
-    });
-  });
-
-  describe('snoc', () => {
-    it('Nil snoc 0 is [0]', () => {
-      expect($na(snoc._(Nil)._(_n(0)))).toEqual([0]);
   });
 
-    it('[1] snoc 0 is [1, 0]', () => {
+  describe('length', () => {
-      expect($na(snoc._(_na([1]))._(_n(0)))).toEqual([1, 0]);
+    it('[]', () => expect(new List([]).length).toEqual(0));
-    });
+    it('[1]', () => expect(new List([1]).length).toEqual(1));
-
+    it('["b", "c", "b", "c"]', () => expect(new List(['b', 'c', 'b', 'c']).length).toEqual(4));
-    it('[1, 2] snoc 0 is [1, 2, 0]', () => {
-      expect($na(snoc._(_na([1, 2]))._(_n(0)))).toEqual([1, 2, 0]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(snoc._(infinite)._(_n(0))._(undef)._(_l(x => _l(_ => x))))).toBe(0);
-    });
   });
 
-  describe('nul', () => {
+  describe('first', () => {
-    it('nul Nil is True', () => {
+    it('[]', () => expect(new List([]).first).toBeUndefined());
-      expect($b(nul._(_na([])))).toEqual(true);
+    it('[1]', () => expect(new List([1]).first).toEqual(1));
+    it('["b", "c", "b", "c"]', () => expect(new List(['b', 'c', 'b', 'c']).first).toEqual('b'));
   });
 
-    it('nul [1] is False', () => {
+  describe('last', () => {
-      expect($b(nul._(_na([1])))).toEqual(false);
+    it('[]', () => expect(new List([]).last).toBeUndefined());
+    it('[1]', () => expect(new List([1]).last).toEqual(1));
+    it('["b", "c", "b", "c"]', () => expect(new List(['b', 'c', 'b', 'c']).last).toEqual('c'));
   });
 
-    it('nul [1, 2] is False', () => {
+  describe('prepend', () => {
-      expect($b(nul._(_na([1, 2])))).toEqual(false);
+    function prepend<T>(list: List<T>, value: T): List<T> {
-    });
+      list.prepend(value);
-
+      return list;
-    it('handles infinite lists', () => {
+    }
-      expect($b(nul._(infinite))).toEqual(false);
+    it('0 -> []', () => expect([...prepend(new List<number>([]), 0)]).toEqual([0]));
-    });
+    it('0 -> [1]', () => expect([...prepend(new List([1]), 0)]).toEqual([0, 1]));
-  });
+    it('"d" -> ["b", "c", "b", "c"]', () => expect([...prepend(new List(['b', 'c', 'b', 'c']), 'd')]).toEqual(['d', 'b', 'c', 'b', 'c']));
-
-  describe('len', () => {
-    it('len Nil is 0', () => {
-      expect($n(len._(_na([])))).toEqual(0);
-    });
-
-    it('len [1] is 1', () => {
-      expect($n(len._(_na([1])))).toEqual(1);
-    });
-
-    it('len [1, 2] is 2', () => {
-      expect($n(len._(_na([1, 2])))).toEqual(2);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(ngt._(len._(infinite))._(Zero))).toEqual(true);
-    });
-
-    it('ignores items', () => {
-      expect($n(len._(cons._(undef)._(cons._(undef)._(Nil))))).toEqual(2);
-    });
-  });
-
-  describe('singleton', () => {
-    it('singleton 0 is [0]', () => {
-      expect($na(singleton._(_n(0)))).toEqual([0]);
-    });
   });
 
   describe('append', () => {
-    it('Nil append Nil is Nil', () => {
+    function append<T>(list: List<T>, value: T): List<T> {
-      expect($na(append._(Nil)._(Nil))).toEqual([]);
+      list.append(value);
-    });
+      return list;
-
+    }
-    it('[0] append [1] is [0, 1]', () => {
+    it('[] <- 0', () => expect([...append(new List<number>([]), 0)]).toEqual([0]));
-      expect($na(append._(_na([0]))._(_na([1])))).toEqual([0, 1]);
+    it('[1] <- 0', () => expect([...append(new List([1]), 0)]).toEqual([1, 0]));
-    });
+    it('["b", "c", "b", "c"] <- "d"', () => expect([...append(new List(['b', 'c', 'b', 'c']), 'd')]).toEqual(['b', 'c', 'b', 'c', 'd']));
-
+  });
-    it('[0, 1] append [2, 3] is [0, 1, 2, 3]', () => {
+
-      expect($na(append._(_na([0, 1]))._(_na([2, 3])))).toEqual([0, 1, 2, 3]);
+  describe('includes', () => {
-    });
+    it('[] not includes 0', () => expect(new List<number>([]).includes(0)).toBe(false));
-
+    it('[1] not includes 0', () => expect(new List([1]).includes(0)).toBe(false));
-    it('handles infinite lists', () => {
+    it('[1] includes 1', () => expect(new List([1]).includes(1)).toBe(true));
-      expect($n(append._(infinite)._(infinite)._(undef)._(_l(x => _l(_ => x))))).toBe(0);
+    it('["b", "c", "b", "c"] not includes "d"', () => expect(new List(['b', 'c', 'b', 'c']).includes('d')).toBe(false));
-    });
+    it('["b", "c", "b", "c"] includes "b"', () => expect(new List(['b', 'c', 'b', 'c']).includes('b')).toBe(true));
-  });
+  });
-
+
-  describe('concat', () => {
+  describe('itemOf / set', () => {
-    it('concat [Nil, Nil, Nil] is Nil', () => {
+    function update<T>(list: List<T>, from: T, to: T): List<T> {
-      expect($na(concat._(cons._(Nil)._(cons._(Nil)._(cons._(Nil)._(Nil)))))).toEqual([]);
+      const item: ListItem<T> | undefined = list.itemOf(from);
-    });
+      if (item) {
-
+        list.set(item, to);
-    it('concat [[0], [1], [2]] is [0, 1, 2]', () => {
+      }
-      expect($na(concat._(cons._(_na([0]))._(cons._(_na([1]))._(cons._(_na([2]))._(Nil)))))).toEqual([0, 1, 2]);
+      return list;
-    });
+    }
-
+
-    it('concat [[0, 1], [2, 3], [4, 5]] is [0, 1, 2, 3, 4, 5]', () => {
+    it('[]: 0 -> 1', () => expect([...update(new List<number>([]), 0, 1)]).toEqual([]));
-      expect($na(concat._(cons._(_na([0, 1]))._(cons._(_na([2, 3]))._(cons._(_na([4, 5]))._(Nil)))))).toEqual([0, 1, 2, 3, 4, 5]);
+    it('[1]: 0 -> 1', () => expect([...update(new List([1]), 0, 1)]).toEqual([1]));
-    });
+    it('[1]: 1 -> 0', () => expect([...update(new List([1]), 1, 0)]).toEqual([0]));
-
+    it('["b", "c", "b", "c"]: "b" -> "d"', () => expect([...update(new List(['b', 'c', 'b', 'c']), 'b', 'd')]).toEqual(['d', 'c', 'b', 'c']));
-    it('handles infinite lists', () => {
+    it('["b", "c", "b", "c"]: "d" -> "b"', () => expect([...update(new List(['b', 'c', 'b', 'c']), 'd', 'b')]).toEqual(['b', 'c', 'b', 'c']));
-      const dinfinite: Term = g('dinfinite', _(() => cons._(infinite)._(dinfinite)));
+  });
-      expect($n(concat._(dinfinite)._(undef)._(_l(x => _l(_ => x))))).toBe(0);
+
-    });
+  describe('itemOf / delete', () => {
-  });
+    function remove<T>(list: List<T>, value: T): List<T> {
-
+      const item: ListItem<T> | undefined = list.itemOf(value);
-  // describe('repeat', () => {
+      if (item) {
-  //   it('repeat 0 is [0, 0, 0, ...]', () => {
+        list.delete(item);
-  //     expect($na(
+      }
-  //       repeat._(_n(0))<List<Num>>(l((x0: Num) => l((x1s: List<Num>) =>
+      return list;
-  //         x1s<List<Num>>(l((x1: Num) => l((x2s: List<Num>) =>
+    }
-  //           x2s<List<Num>>(l((x2: Num) => l((_xrs: List<Num>): List<Num> => cons._(x0)._(cons._(x1)._(cons._(x2)._(Nil)))))))))))))).toEqual([0, 0, 0]);
+
-  //   });
+    it('[] - 0', () => expect([...remove(new List<number>([]), 0)]).toEqual([]));
-  // });
+    it('[1] - 0', () => expect([...remove(new List([1]), 0)]).toEqual([1]));
-
+    it('[1] - 1', () => expect([...remove(new List([1]), 1)]).toEqual([]));
-  // describe('iterate', () => {
+    it('["b", "c", "b", "c"] - "b"', () => expect([...remove(new List(['b', 'c', 'b', 'c']), 'b')]).toEqual(['c', 'b', 'c']));
-  //   it('iterate succ 0 is [0, 1, 2, ...]', () => {
+    it('["b", "c", "b", "c"] - "d"', () => expect([...remove(new List(['b', 'c', 'b', 'c']), 'd')]).toEqual(['b', 'c', 'b', 'c']));
-  //     expect($na(
-  //       iterate._(_n(0))<List<Num>>(l((x0: Num) => l((x1s: List<Num>) =>
-  //         x1s<List<Num>>(l((x1: Num) => l((x2s: List<Num>) =>
-  //           x2s<List<Num>>(l((x2: Num) => l((_xrs: List<Num>): List<Num> => cons._(x0)._(cons._(x1)._(cons._(x2)._(Nil)))))))))))))).toEqual([0, 1, 2]);
-  //   });
-  // });
-
-  describe('head', () => {
-    it('returns nothing from Nil', () => {
-      expect(() => $(head._(Nil))).toThrow();
-    });
-
-    it('returns only item', () => {
-      expect($n(head._(_na([0])))).toBe(0);
-    });
-
-    it('returns first item', () => {
-      expect($n(head._(_na([0, 1])))).toBe(0);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(head._(infinite))).toBe(0);
-    });
-  });
-
-  describe('tail', () => {
-    it('drops nothing from Nil', () => {
-      expect(() => $na(tail._(Nil))).toThrow();
-    });
-
-    it('drops only item', () => {
-      expect($na(tail._(_na([0])))).toEqual([]);
-    });
-
-    it('drops first item', () => {
-      expect($na(tail._(_na([0, 1])))).toEqual([1]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(head._(tail._(infinite)))).toBe(1);
-    });
-  });
-
-  describe('foldl', () => {
-    it('folds Nil', () => {
-      expect($n(foldl._(sum)._(Zero)._(_na([])))).toBe(0);
-    });
-
-    it('folds single item', () => {
-      expect($n(foldl._(sum)._(Zero)._(_na([1])))).toBe(1);
-    });
-
-    it('folds several items', () => {
-      expect($n(foldl._(sum)._(Zero)._(_na([1, 2])))).toBe(3);
-    });
-  });
-
-  describe('foldlz', () => {
-    it('does not fold Nil', () => {
-      expect(() => $n(foldlz._(sum)._(Nil))).toThrow();
-    });
-
-    it('folds single item', () => {
-      expect($n(foldlz._(sum)._(_na([1])))).toBe(1);
-    });
-
-    it('folds several items', () => {
-      expect($n(foldlz._(sum)._(_na([1, 2])))).toBe(3);
-    });
-  });
-
-  describe('foldr', () => {
-    it('folds Nil', () => {
-      expect($n(foldr._(sum)._(Zero)._(_na([])))).toBe(0);
-    });
-
-    it('folds single item', () => {
-      expect($n(foldr._(sum)._(Zero)._(_na([1])))).toBe(1);
-    });
-
-    it('folds several items', () => {
-      expect($n(foldr._(sum)._(Zero)._(_na([1, 2])))).toBe(3);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(
-        foldr
-          ._(_l(x => _l(a => sum._(x)._(iif._(eqn._(_n(5))._(x))._(Zero)._(a)))))
-          ._(Zero)
-          ._(infinite)))
-        .toBe(15);
-    });
-  });
-
-  describe('foldrz', () => {
-    it('does not fold Nil', () => {
-      expect(() => $n(foldrz._(sum)._(Nil))).toThrow();
-    });
-
-    it.failing('folds single item', () => {
-      expect($n(foldrz._(sum)._(_na([1])))).toBe(1);
-    });
-
-    it.failing('folds several items', () => {
-      expect($n(foldrz._(sum)._(_na([1, 2])))).toBe(3);
-    });
-
-    it.failing('handles infinite lists', () => {
-      expect($n(
-        foldrz
-          ._(_l(x => _l(a => sum._(x)._(iif._(eqn._(_n(5))._(x))._(Zero)._(a)))))
-          ._(infinite)))
-        .toBe(15);
-    });
-  });
-
-  describe('cmp', () => {
-    it('Nil cmp Nil is EQ', () => {
-      expect($o(cmp._(cmpn)._(_na([]))._(_na([])))).toEqual(NOrd.EQ);
-    });
-
-    it('Nil cmp [0, 1, 2] is LT', () => {
-      expect($o(cmp._(cmpn)._(_na([]))._(_na([0, 1, 2])))).toEqual(NOrd.LT);
-    });
-
-    it('[0, 1, 2] cmp Nil is GT', () => {
-      expect($o(cmp._(cmpn)._(_na([0, 1, 2]))._(_na([])))).toEqual(NOrd.GT);
-    });
-
-    it('[0] cmp [0, 1, 2] is LT', () => {
-      expect($o(cmp._(cmpn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(NOrd.LT);
-    });
-
-    it('[0, 1, 2] cmp [0] is GT', () => {
-      expect($o(cmp._(cmpn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(NOrd.GT);
-    });
-
-    it('[1, 2, 0] cmp [0, 1, 2] is GT', () => {
-      expect($o(cmp._(cmpn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(NOrd.GT);
-    });
-
-    it('[0, 1, 2] cmp [1, 2, 0] is LT', () => {
-      expect($o(cmp._(cmpn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(NOrd.LT);
-    });
-
-    it('[0, 1, 2] cmp [0, 1, 2] is EQ', () => {
-      expect($o(cmp._(cmpn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(NOrd.EQ);
-    });
-
-    it('handles infinite lists', () => {
-      expect($o(cmp._(cmpn)._(_na([0, 1, 2]))._(infinite))).toEqual(NOrd.LT);
-      expect($o(cmp._(cmpn)._(infinite)._(_na([0, 1, 2])))).toEqual(NOrd.GT);
-    });
-  });
-
-  describe('lt', () => {
-    it('Nil lt Nil is False', () => {
-      expect($b(lt._(cmpn)._(_na([]))._(_na([])))).toEqual(false);
-    });
-
-    it('Nil lt [0, 1, 2] is True', () => {
-      expect($b(lt._(cmpn)._(_na([]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] lt Nil is False', () => {
-      expect($b(lt._(cmpn)._(_na([0, 1, 2]))._(_na([])))).toEqual(false);
-    });
-
-    it('[0] lt [0, 1, 2] is True', () => {
-      expect($b(lt._(cmpn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] lt [0] is False', () => {
-      expect($b(lt._(cmpn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(false);
-    });
-
-    it('[1, 2, 0] lt [0, 1, 2] is False', () => {
-      expect($b(lt._(cmpn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] lt [1, 2, 0] is True', () => {
-      expect($b(lt._(cmpn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] lt [0, 1, 2] is False', () => {
-      expect($b(lt._(cmpn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(lt._(cmpn)._(_na([0, 1, 2]))._(infinite))).toEqual(true);
-      expect($b(lt._(cmpn)._(infinite)._(_na([0, 1, 2])))).toEqual(false);
-    });
-  });
-
-  describe('le', () => {
-    it('Nil le Nil is True', () => {
-      expect($b(le._(cmpn)._(_na([]))._(_na([])))).toEqual(true);
-    });
-
-    it('Nil le [0, 1, 2] is True', () => {
-      expect($b(le._(cmpn)._(_na([]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] le Nil is False', () => {
-      expect($b(le._(cmpn)._(_na([0, 1, 2]))._(_na([])))).toEqual(false);
-    });
-
-    it('[0] le [0, 1, 2] is True', () => {
-      expect($b(le._(cmpn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] le [0] is False', () => {
-      expect($b(le._(cmpn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(false);
-    });
-
-    it('[1, 2, 0] le [0, 1, 2] is False', () => {
-      expect($b(le._(cmpn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] le [1, 2, 0] is True', () => {
-      expect($b(le._(cmpn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] le [0, 1, 2] is True', () => {
-      expect($b(le._(cmpn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(le._(cmpn)._(_na([0, 1, 2]))._(infinite))).toEqual(true);
-      expect($b(le._(cmpn)._(infinite)._(_na([0, 1, 2])))).toEqual(false);
-    });
-  });
-
-  describe('eq', () => {
-    it('Nil eq Nil is True', () => {
-      expect($b(eq._(eqn)._(_na([]))._(_na([])))).toEqual(true);
-    });
-
-    it('Nil eq [0, 1, 2] is False', () => {
-      expect($b(eq._(eqn)._(_na([]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] eq Nil is False', () => {
-      expect($b(eq._(eqn)._(_na([0, 1, 2]))._(_na([])))).toEqual(false);
-    });
-
-    it('[0] eq [0, 1, 2] is False', () => {
-      expect($b(eq._(eqn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] eq [0] is False', () => {
-      expect($b(eq._(eqn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(false);
-    });
-
-    it('[1, 2, 0] eq [0, 1, 2] is False', () => {
-      expect($b(eq._(eqn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] eq [1, 2, 0] is False', () => {
-      expect($b(eq._(eqn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] eq [0, 1, 2] is True', () => {
-      expect($b(eq._(eqn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(eq._(eqn)._(_na([0, 1, 2]))._(infinite))).toEqual(false);
-      expect($b(eq._(eqn)._(infinite)._(_na([0, 1, 2])))).toEqual(false);
-    });
-  });
-
-  describe('ge', () => {
-    it('Nil ge Nil is True', () => {
-      expect($b(ge._(cmpn)._(_na([]))._(_na([])))).toEqual(true);
-    });
-
-    it('Nil ge [0, 1, 2] is False', () => {
-      expect($b(ge._(cmpn)._(_na([]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] ge Nil is True', () => {
-      expect($b(ge._(cmpn)._(_na([0, 1, 2]))._(_na([])))).toEqual(true);
-    });
-
-    it('[0] ge [0, 1, 2] is False', () => {
-      expect($b(ge._(cmpn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] ge [0] is True', () => {
-      expect($b(ge._(cmpn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(true);
-    });
-
-    it('[1, 2, 0] ge [0, 1, 2] is True', () => {
-      expect($b(ge._(cmpn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] ge [1, 2, 0] is False', () => {
-      expect($b(ge._(cmpn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] ge [0, 1, 2] is True', () => {
-      expect($b(ge._(cmpn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(ge._(cmpn)._(_na([0, 1, 2]))._(infinite))).toEqual(false);
-      expect($b(ge._(cmpn)._(infinite)._(_na([0, 1, 2])))).toEqual(true);
-    });
-  });
-
-  describe('gt', () => {
-    it('Nil gt Nil is False', () => {
-      expect($b(gt._(cmpn)._(_na([]))._(_na([])))).toEqual(false);
-    });
-
-    it('Nil gt [0, 1, 2] is False', () => {
-      expect($b(gt._(cmpn)._(_na([]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] gt Nil is True', () => {
-      expect($b(gt._(cmpn)._(_na([0, 1, 2]))._(_na([])))).toEqual(true);
-    });
-
-    it('[0] gt [0, 1, 2] is False', () => {
-      expect($b(gt._(cmpn)._(_na([0]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] gt [0] is True', () => {
-      expect($b(gt._(cmpn)._(_na([0, 1, 2]))._(_na([0])))).toEqual(true);
-    });
-
-    it('[1, 2, 0] gt [0, 1, 2] is True', () => {
-      expect($b(gt._(cmpn)._(_na([1, 2, 0]))._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('[0, 1, 2] gt [1, 2, 0] is False', () => {
-      expect($b(gt._(cmpn)._(_na([0, 1, 2]))._(_na([1, 2, 0])))).toEqual(false);
-    });
-
-    it('[0, 1, 2] gt [0, 1, 2] is False', () => {
-      expect($b(gt._(cmpn)._(_na([0, 1, 2]))._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(gt._(cmpn)._(_na([0, 1, 2]))._(infinite))).toEqual(false);
-      expect($b(gt._(cmpn)._(infinite)._(_na([0, 1, 2])))).toEqual(true);
-    });
-  });
-
-  describe('map', () => {
-    it('maps Nil', () => {
-      expect($na(map._(succ)._(_na([])))).toEqual([]);
-    });
-
-    it('maps only item', () => {
-      expect($na(map._(succ)._(_na([0])))).toEqual([1]);
-    });
-
-    it('maps several items', () => {
-      expect($na(map._(succ)._(_na([0, 1])))).toEqual([1, 2]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(head._(map._(succ)._(infinite)))).toBe(1);
-    });
-  });
-
-  describe('filter', () => {
-    it('filter Nil', () => {
-      expect($na(filter._(odd)._(_na([])))).toEqual([]);
-    });
-
-    it('filters only item', () => {
-      expect($na(filter._(odd)._(_na([])))).toEqual([]);
-    });
-
-    it('filters several items', () => {
-      expect($na(filter._(odd)._(_na([0, 1])))).toEqual([1]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(head._(filter._(odd)._(infinite)))).toBe(1);
-    });
-  });
-
-  describe('any', () => {
-    it('any Nil is False', () => {
-      expect($b(any._(odd)._(_na([])))).toEqual(false);
-    });
-
-    it('any for no matching item is False', () => {
-      expect($b(any._(odd)._(_na([0, 2])))).toEqual(false);
-    });
-
-    it('any for matching item is True', () => {
-      expect($b(any._(odd)._(_na([0, 1, 2])))).toEqual(true);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(any._(odd)._(infinite))).toEqual(true);
-    });
-  });
-
-  describe('all', () => {
-    it('all Nil is True', () => {
-      expect($b(all._(even)._(_na([])))).toEqual(true);
-    });
-
-    it('all for non-matching item is False', () => {
-      expect($b(all._(even)._(_na([0, 1, 2])))).toEqual(false);
-    });
-
-    it('all for no non-matching item is True', () => {
-      expect($b(all._(even)._(_na([0, 2])))).toEqual(true);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(all._(even)._(infinite))).toEqual(false);
-    });
-  });
-
-  describe('get', () => {
-    it('returns nothing from Nil', () => {
-      expect(() => $n(get._(_n(0))._(Nil))).toThrow();
-    });
-
-    it('returns nothing with out of bounds index', () => {
-      expect(() => $n(get._(_n(100))._(_na([0, 1, 2, 3])))).toThrow();
-    });
-
-    it('[0, 1, 2, 3][0] is 0', () => {
-      expect($n(get._(_n(0))._(_na([0, 1, 2, 3])))).toBe(0);
-    });
-
-    it('[0, 1, 2, 3][1] is 1', () => {
-      expect($n(get._(_n(1))._(_na([0, 1, 2, 3])))).toBe(1);
-    });
-
-    it('[0, 1, 2, 3][2] is 2', () => {
-      expect($n(get._(_n(2))._(_na([0, 1, 2, 3])))).toBe(2);
-    });
-
-    it('[0, 1, 2, 3][3] get 3 is 3', () => {
-      expect($n(get._(_n(3))._(_na([0, 1, 2, 3])))).toBe(3);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(get._(_n(4))._(infinite))).toBe(4);
-    });
-  });
-
-  describe('set', () => {
-    it('can not update Nil', () => {
-      expect(() => $na(set._(_n(10))._(_n(0))._(Nil))).toThrow();
-    });
-
-    it('can not update out of bounds index', () => {
-      expect(() => $na(set._(_n(10))._(_n(100))._(_na([0, 1, 2, 3])))).toThrow();
-    });
-
-    it('[0, 1, 2, 3][0] = 10 is [10, 1, 2, 3]', () => {
-      expect($na(set._(_n(10))._(_n(0))._(_na([0, 1, 2, 3])))).toEqual([10, 1, 2, 3]);
-    });
-
-    it('[0, 1, 2, 3][1] = 10 is [0, 10, 2, 3]', () => {
-      expect($na(set._(_n(10))._(_n(1))._(_na([0, 1, 2, 3])))).toEqual([0, 10, 2, 3]);
-    });
-
-    it('[0, 1, 2, 3][2] = 10 is [0, 1, 10, 3]', () => {
-      expect($na(set._(_n(10))._(_n(2))._(_na([0, 1, 2, 3])))).toEqual([0, 1, 10, 3]);
-    });
-
-    it('[0, 1, 2, 3][3] = 10 is [0, 1, 2, 10]', () => {
-      expect($na(set._(_n(10))._(_n(3))._(_na([0, 1, 2, 3])))).toEqual([0, 1, 2, 10]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(get._(_n(4))._(set._(_n(10))._(_n(4))._(infinite)))).toBe(10);
-    });
-  });
-
-  describe('update', () => {
-    it('can not update Nil', () => {
-      expect(() => $na(update._(succ)._(_n(0))._(Nil))).toThrow();
-    });
-
-    it('can not update out of bounds index', () => {
-      expect(() => $na(update._(succ)._(_n(100))._(_na([0, 1, 2, 3])))).toThrow();
-    });
-
-    it('[0, 1, 2, 3][0]++ is [10, 1, 2, 3]', () => {
-      expect($na(update._(succ)._(_n(0))._(_na([0, 1, 2, 3])))).toEqual([1, 1, 2, 3]);
-    });
-
-    it('[0, 1, 2, 3][1]++ is [0, 10, 2, 3]', () => {
-      expect($na(update._(succ)._(_n(1))._(_na([0, 1, 2, 3])))).toEqual([0, 2, 2, 3]);
-    });
-
-    it('[0, 1, 2, 3][2]++ is [0, 1, 10, 3]', () => {
-      expect($na(update._(succ)._(_n(2))._(_na([0, 1, 2, 3])))).toEqual([0, 1, 3, 3]);
-    });
-
-    it('[0, 1, 2, 3][3]++ is [0, 1, 2, 10]', () => {
-      expect($na(update._(succ)._(_n(3))._(_na([0, 1, 2, 3])))).toEqual([0, 1, 2, 4]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(get._(_n(4))._(update._(succ)._(_n(4))._(infinite)))).toBe(5);
-    });
-  });
-
-  describe('intersperse', () => {
-    it('0 intersperse Nil is Nil', () => {
-      expect($na(intersperse._(_n(0))._(Nil))).toEqual([]);
-    });
-
-    it('0 intersperse [1] is [1]', () => {
-      expect($na(intersperse._(_n(0))._(_na([1])))).toEqual([1]);
-    });
-
-    it('0 intersperse [1, 2, 3] is [1, 0, 2, 0, 3]', () => {
-      expect($na(intersperse._(_n(0))._(_na([1, 2, 3])))).toEqual([1, 0, 2, 0, 3]);
-    });
-
-    it('handles infinite lists', () => {
-      expect($n(head._(intersperse._(_n(0))._(infinite)))).toBe(0);
-    });
-  });
-
-  describe('show', () => {
-    it('show Nil is "[]"', () => {
-      expect($s(show._(nshow)._(_na([])))).toBe('[]');
-    });
-
-    it('show [0] is "[0]"', () => {
-      expect($s(show._(nshow)._(_na([0])))).toBe('[0]');
-    });
-
-    it('show [0, 1, 2] is "[0, 1, 2]"', () => {
-      expect($s(show._(nshow)._(_na([0, 1, 2])))).toBe('[0, 1, 2]');
-    });
-
-    it('handles infinite lists', () => {
-      expect($c(head._(show._(nshow)._(infinite)))).toBe('[');
-    });
   });
 });

test/num.spec.ts

@@ -1,409 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { Term, _, g, n, undef } from '../src/core';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, fromBoolean as _b } from '../src/bool';
-import { toNumber as $n, Succ, Zero, fromNumber as _n, cmp, div, eq, ge, gt, ifz, le, lt, mod, mul, pred, sub, succ, sum } from '../src/num';
-import { toString as $s } from '../src/string';
-import { show } from '../src/num.show';
-
-n('num.spec');
-
-describe('Num', () => {
-  const infinity: Term = g('infinity', _(() => Succ._(infinity)));
-
-  describe('toNumber', () => {
-    it('converts 0', () => {
-      expect($n(Zero)).toBe(0);
-    });
-
-    it('converts 1', () => {
-      expect($n(Succ._(Zero))).toBe(1);
-    });
-
-    it('converts 2', () => {
-      expect($n(Succ._(Succ._(Zero)))).toBe(2);
-    });
-  });
-
-  describe('fromNumber', () => {
-    it('converts 0', () => {
-      expect($n(_n(0))).toBe(0);
-    });
-
-    it('converts 1', () => {
-      expect($n(_n(1))).toBe(1);
-    });
-
-    it('converts 2', () => {
-      expect($n(_n(2))).toBe(2);
-    });
-  });
-
-  describe('ifz', () => {
-    it('returns zero branch', () => {
-      expect($b(ifz._(_n(0))._(_b(true))._(_b(false)))).toBe(true);
-    });
-
-    it('returns non-zero branch', () => {
-      expect($b(ifz._(_n(1))._(_b(true))._(_b(false)))).toBe(false);
-    });
-
-    it('returns non-zero branch', () => {
-      expect($b(ifz._(_n(10))._(_b(true))._(_b(false)))).toBe(false);
-    });
-
-    it('handles infinity', () => {
-      expect($b(ifz._(infinity)._(_b(true))._(_b(false)))).toBe(false);
-    });
-  });
-
-  describe('succ', () => {
-    it('succ 0 is 1', () => {
-      expect($n(succ._(_n(0)))).toBe(1);
-    });
-
-    it('succ 1 is 2', () => {
-      expect($n(succ._(_n(1)))).toBe(2);
-    });
-
-    it('succ 10 is 11', () => {
-      expect($n(succ._(_n(10)))).toBe(11);
-    });
-  });
-
-  describe('pred', () => {
-    it('pred 0 is 0', () => {
-      expect($n(pred._(_n(0)))).toBe(0);
-    });
-
-    it('pred 1 is 0', () => {
-      expect($n(pred._(_n(1)))).toBe(0);
-    });
-
-    it('pred 10 is 9', () => {
-      expect($n(pred._(_n(10)))).toBe(9);
-    });
-  });
-
-  describe('cmp', () => {
-    it('0 cmp 0 is EQ', () => {
-      expect($o(cmp._(_n(0))._(_n(0)))).toBe(NOrd.EQ);
-    });
-
-    it('0 cmp 1 is LT', () => {
-      expect($o(cmp._(_n(0))._(_n(1)))).toBe(NOrd.LT);
-    });
-
-    it('1 cmp 0 is GT', () => {
-      expect($o(cmp._(_n(1))._(_n(0)))).toBe(NOrd.GT);
-    });
-
-    it('3 cmp 3 is EQ', () => {
-      expect($o(cmp._(_n(3))._(_n(3)))).toBe(NOrd.EQ);
-    });
-
-    it('3 cmp 7 is LT', () => {
-      expect($o(cmp._(_n(3))._(_n(7)))).toBe(NOrd.LT);
-    });
-
-    it('7 cmp 3 is GT', () => {
-      expect($o(cmp._(_n(7))._(_n(3)))).toBe(NOrd.GT);
-    });
-
-    it('handles infinity', () => {
-      expect($o(cmp._(_n(7))._(infinity))).toBe(NOrd.LT);
-      expect($o(cmp._(infinity)._(_n(7)))).toBe(NOrd.GT);
-    });
-  });
-
-  describe('lt', () => {
-    it('0 lt 0 is False', () => {
-      expect($b(lt._(_n(0))._(_n(0)))).toBe(false);
-    });
-
-    it('0 lt 1 is True', () => {
-      expect($b(lt._(_n(0))._(_n(1)))).toBe(true);
-    });
-
-    it('1 lt 0 is False', () => {
-      expect($b(lt._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 lt 3 is False', () => {
-      expect($b(lt._(_n(3))._(_n(3)))).toBe(false);
-    });
-
-    it('3 lt 7 is True', () => {
-      expect($b(lt._(_n(3))._(_n(7)))).toBe(true);
-    });
-
-    it('7 lt 3 is False', () => {
-      expect($b(lt._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('handles infinity', () => {
-      expect($b(lt._(_n(7))._(infinity))).toBe(true);
-      expect($b(lt._(infinity)._(_n(7)))).toBe(false);
-    });
-  });
-
-  describe('le', () => {
-    it('0 le 0 is True', () => {
-      expect($b(le._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 le 1 is True', () => {
-      expect($b(le._(_n(0))._(_n(1)))).toBe(true);
-    });
-
-    it('1 le 0 is False', () => {
-      expect($b(le._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 le 3 is True', () => {
-      expect($b(le._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 le 7 is True', () => {
-      expect($b(le._(_n(3))._(_n(7)))).toBe(true);
-    });
-
-    it('7 le 3 is False', () => {
-      expect($b(le._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('handles infinity', () => {
-      expect($b(le._(_n(7))._(infinity))).toBe(true);
-      expect($b(le._(infinity)._(_n(7)))).toBe(false);
-    });
-  });
-
-  describe('eq', () => {
-    it('0 eq 0 is True', () => {
-      expect($b(eq._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 eq 1 is False', () => {
-      expect($b(eq._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 eq 0 is False', () => {
-      expect($b(eq._(_n(1))._(_n(0)))).toBe(false);
-    });
-
-    it('3 eq 3 is True', () => {
-      expect($b(eq._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 eq 7 is False', () => {
-      expect($b(eq._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 eq 3 is False', () => {
-      expect($b(eq._(_n(7))._(_n(3)))).toBe(false);
-    });
-
-    it('handles infinity', () => {
-      expect($b(eq._(_n(7))._(infinity))).toBe(false);
-      expect($b(eq._(infinity)._(_n(7)))).toBe(false);
-    });
-  });
-
-  describe('ge', () => {
-    it('0 ge 0 is True', () => {
-      expect($b(ge._(_n(0))._(_n(0)))).toBe(true);
-    });
-
-    it('0 ge 1 is False', () => {
-      expect($b(ge._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 ge 0 is True', () => {
-      expect($b(ge._(_n(1))._(_n(0)))).toBe(true);
-    });
-
-    it('3 ge 3 is True', () => {
-      expect($b(ge._(_n(3))._(_n(3)))).toBe(true);
-    });
-
-    it('3 ge 7 is False', () => {
-      expect($b(ge._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 ge 3 is True', () => {
-      expect($b(ge._(_n(7))._(_n(3)))).toBe(true);
-    });
-
-    it('handles infinity', () => {
-      expect($b(ge._(_n(7))._(infinity))).toBe(false);
-      expect($b(ge._(infinity)._(_n(7)))).toBe(true);
-    });
-  });
-
-  describe('gt', () => {
-    it('0 gt 0 is False', () => {
-      expect($b(gt._(_n(0))._(_n(0)))).toBe(false);
-    });
-
-    it('0 gt 1 is False', () => {
-      expect($b(gt._(_n(0))._(_n(1)))).toBe(false);
-    });
-
-    it('1 gt 0 is True', () => {
-      expect($b(gt._(_n(1))._(_n(0)))).toBe(true);
-    });
-
-    it('3 gt 3 is False', () => {
-      expect($b(gt._(_n(3))._(_n(3)))).toBe(false);
-    });
-
-    it('3 gt 7 is False', () => {
-      expect($b(gt._(_n(3))._(_n(7)))).toBe(false);
-    });
-
-    it('7 gt 3 is True', () => {
-      expect($b(gt._(_n(7))._(_n(3)))).toBe(true);
-    });
-
-    it('handles infinity', () => {
-      expect($b(gt._(_n(7))._(infinity))).toBe(false);
-      expect($b(gt._(infinity)._(_n(7)))).toBe(true);
-    });
-  });
-
-  describe('sum', () => {
-    it('0 sum 0 is 0', () => {
-      expect($n(sum._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 sum 1 is 1', () => {
-      expect($n(sum._(_n(0))._(_n(1)))).toBe(1);
-    });
-
-    it('1 sum 0 is 1', () => {
-      expect($n(sum._(_n(1))._(_n(0)))).toBe(1);
-    });
-
-    it('3 sum 4 is 7', () => {
-      expect($n(sum._(_n(3))._(_n(4)))).toBe(7);
-    });
-  });
-
-  describe('sub', () => {
-    it('0 sub 0 is 0', () => {
-      expect($n(sub._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 sub 1 is 0', () => {
-      expect($n(sub._(_n(0))._(_n(1)))).toBe(0);
-    });
-
-    it('1 sub 0 is 1', () => {
-      expect($n(sub._(_n(1))._(_n(0)))).toBe(1);
-    });
-
-    it('7 sub 4 is 3', () => {
-      expect($n(sub._(_n(7))._(_n(4)))).toBe(3);
-    });
-  });
-
-  describe('mul', () => {
-    it('0 mul 0 is 0', () => {
-      expect($n(mul._(_n(0))._(_n(0)))).toBe(0);
-    });
-
-    it('0 mul 10 is 0', () => {
-      expect($n(mul._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('10 mul 0 is 0', () => {
-      expect($n(mul._(_n(1))._(_n(0)))).toBe(0);
-    });
-
-    it('1 mul 10 is 10', () => {
-      expect($n(mul._(_n(1))._(_n(10)))).toBe(10);
-    });
-
-    it('10 mul 1 is 10', () => {
-      expect($n(mul._(_n(10))._(_n(1)))).toBe(10);
-    });
-
-    it('3 mul 4 is 12', () => {
-      expect($n(mul._(_n(3))._(_n(4)))).toBe(12);
-    });
-
-    it('0 mul ignores second argument', () => {
-      expect($n(mul._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('div', () => {
-    it('0 div 10 is 0', () => {
-      expect($n(div._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('1 div 10 is 0', () => {
-      expect($n(div._(_n(1))._(_n(10)))).toBe(0);
-    });
-
-    it('10 div 1 is 10', () => {
-      expect($n(div._(_n(10))._(_n(1)))).toBe(10);
-    });
-
-    it('10 div 5 is 2', () => {
-      expect($n(div._(_n(10))._(_n(5)))).toBe(2);
-    });
-
-    it('10 div 3 is 3', () => {
-      expect($n(div._(_n(10))._(_n(3)))).toBe(3);
-    });
-
-    it.failing('0 div ignores second argument', () => {
-      expect($n(div._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('mod', () => {
-    it('0 mod 10 is 0', () => {
-      expect($n(mod._(_n(0))._(_n(10)))).toBe(0);
-    });
-
-    it('1 mod 10 is 1', () => {
-      expect($n(mod._(_n(1))._(_n(10)))).toBe(1);
-    });
-
-    it('10 mod 1 is 0', () => {
-      expect($n(mod._(_n(10))._(_n(1)))).toBe(0);
-    });
-
-    it('10 mod 5 is 0', () => {
-      expect($n(mod._(_n(10))._(_n(5)))).toBe(0);
-    });
-
-    it('10 mod 3 is 1', () => {
-      expect($n(mod._(_n(10))._(_n(3)))).toBe(1);
-    });
-
-    it.failing('0 mod ignores second argument', () => {
-      expect($n(mod._(_n(0))._(undef))).toBe(0);
-    });
-  });
-
-  describe('show', () => {
-    it('show 0 is "0"', () => {
-      expect($s(show._(_n(0)))).toBe('0');
-    });
-
-    it('show 1 is "1"', () => {
-      expect($s(show._(_n(1)))).toBe('1');
-    });
-
-    it('show 255 is "255"', () => {
-      expect($s(show._(_n(255)))).toBe('255');
-    });
-
-    it('show 1000 is "1000"', () => {
-      expect($s(show._(_n(1000)))).toBe('1000');
-    });
-  });
-});

test/pair.spec.ts

@@ -1,233 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { undef } from '../src/core';
-import { toNOrd as $o, NOrd } from '../src/ord';
-import { toBoolean as $b, fromBoolean as _b, cmp as bcmp, eq as beq, not } from '../src/bool';
-import { toNumber as $n, fromNumber as _n, cmp as ncmp, eq as neq, succ } from '../src/num';
-import { Pair, both, cmp, eq, first, fst, ge, gt, le, lt, second, snd } from '../src/pair';
-import { toString } from '../src/string';
-import { show as bshow } from '../src/bool.show';
-import { show as nshow } from '../src/num.show';
-import { show } from '../src/pair.show';
-
-describe('Pair', () => {
-  describe('fst', () => {
-    it('returns first', () => {
-      expect($b(fst._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('ignores second', () => {
-      expect($b(fst._(Pair._(_b(false))._(undef)))).toBe(false);
-    });
-  });
-
-  describe('snd', () => {
-    it('returns second', () => {
-      expect($n(snd._(Pair._(_b(false))._(_n(0))))).toBe(0);
-    });
-
-    it('ignores first', () => {
-      expect($n(snd._(Pair._(undef)._(_n(0))))).toBe(0);
-    });
-  });
-
-  describe('first', () => {
-    it('updates first', () => {
-      expect($b(fst._(first._(not)._(Pair._(_b(false))._(_n(0)))))).toBe(true);
-    });
-
-    it('ignores second', () => {
-      expect($b(fst._(first._(not)._(Pair._(_b(false))._(undef))))).toBe(true);
-    });
-  });
-
-  describe('second', () => {
-    it('updates second', () => {
-      expect($n(snd._(second._(succ)._(Pair._(_b(false))._(_n(0)))))).toBe(1);
-    });
-
-    it('ignores first', () => {
-      expect($n(snd._(second._(succ)._(Pair._(undef)._(_n(0)))))).toBe(1);
-    });
-  });
-
-  describe('both', () => {
-    it('updates both', () => {
-      expect($b(fst._(both._(not)._(succ)._(Pair._(_b(false))._(_n(0)))))).toBe(true);
-      expect($n(snd._(both._(not)._(succ)._(Pair._(_b(false))._(_n(0)))))).toBe(1);
-    });
-  });
-
-  describe('cmp', () => {
-    it('(False, 0) cmp (False, 0) is EQ', () => {
-      expect($o(cmp._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(NOrd.EQ);
-    });
-
-    it('(False, 0) cmp (False, 1) is LT', () => {
-      expect($o(cmp._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(NOrd.LT);
-    });
-
-    it('(False, 1) cmp (False, 0) is GT', () => {
-      expect($o(cmp._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(NOrd.GT);
-    });
-
-    it('(False, 0) cmp (True, 0) is LT', () => {
-      expect($o(cmp._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(NOrd.LT);
-    });
-
-    it('(True, 0) cmp (False, 0) is GT', () => {
-      expect($o(cmp._(bcmp)._(ncmp)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(NOrd.GT);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($o(cmp._(bcmp)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(NOrd.LT);
-    });
-  });
-
-  describe('lt', () => {
-    it('(False, 0) lt (False, 0) is False', () => {
-      expect($b(lt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('(False, 0) lt (False, 1) is True', () => {
-      expect($b(lt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(true);
-    });
-
-    it('(False, 1) lt (False, 0) is False', () => {
-      expect($b(lt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('(False, 0) lt (True, 0) is True', () => {
-      expect($b(lt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(true);
-    });
-
-    it('(True, 0) lt (False, 0) is False', () => {
-      expect($b(lt._(bcmp)._(ncmp)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($b(lt._(bcmp)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(true);
-    });
-  });
-
-  describe('le', () => {
-    it('(False, 0) le (False, 0) is True', () => {
-      expect($b(le._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('(False, 0) le (False, 1) is True', () => {
-      expect($b(le._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(true);
-    });
-
-    it('(False, 1) le (False, 0) is False', () => {
-      expect($b(le._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('(False, 0) le (True, 0) is True', () => {
-      expect($b(le._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(true);
-    });
-
-    it('(True, 0) le (False, 0) is False', () => {
-      expect($b(le._(bcmp)._(ncmp)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($b(le._(bcmp)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(true);
-    });
-  });
-
-  describe('eq', () => {
-    it('(False, 0) eq (False, 0) is True', () => {
-      expect($b(eq._(beq)._(neq)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('(False, 0) eq (False, 1) is False', () => {
-      expect($b(eq._(beq)._(neq)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(false);
-    });
-
-    it('(False, 1) eq (False, 0) is False', () => {
-      expect($b(eq._(beq)._(neq)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('(False, 0) eq (True, 0) is True', () => {
-      expect($b(eq._(beq)._(neq)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(false);
-    });
-
-    it('(True, 0) eq (False, 0) is True', () => {
-      expect($b(eq._(beq)._(neq)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($b(eq._(beq)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(false);
-    });
-  });
-
-  describe('ge', () => {
-    it('(False, 0) ge (False, 0) is True', () => {
-      expect($b(ge._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('(False, 0) ge (False, 1) is False', () => {
-      expect($b(ge._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(false);
-    });
-
-    it('(False, 1) ge (False, 0) is True', () => {
-      expect($b(ge._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('(False, 0) ge (True, 0) is False', () => {
-      expect($b(ge._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(false);
-    });
-
-    it('(True, 0) ge (False, 0) is True', () => {
-      expect($b(ge._(bcmp)._(ncmp)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($b(ge._(bcmp)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(false);
-    });
-  });
-
-  describe('gt', () => {
-    it('(False, 0) gt (False, 0) is False', () => {
-      expect($b(gt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(false);
-    });
-
-    it('(False, 0) gt (False, 1) is False', () => {
-      expect($b(gt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(false))._(_n(1))))).toBe(false);
-    });
-
-    it('(False, 1) gt (False, 0) is True', () => {
-      expect($b(gt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(1)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('(False, 0) gt (True, 0) is False', () => {
-      expect($b(gt._(bcmp)._(ncmp)._(Pair._(_b(false))._(_n(0)))._(Pair._(_b(true))._(_n(0))))).toBe(false);
-    });
-
-    it('(True, 0) gt (False, 0) is True', () => {
-      expect($b(gt._(bcmp)._(ncmp)._(Pair._(_b(true))._(_n(0)))._(Pair._(_b(false))._(_n(0))))).toBe(true);
-    });
-
-    it('ignores second if first not equal', () => {
-      expect($b(gt._(bcmp)._(undef)._(Pair._(_b(false))._(undef))._(Pair._(_b(true))._(undef)))).toBe(false);
-    });
-  });
-
-  describe('show', () => {
-    it('show (False, 0) is "(False, 0)"', () => {
-      expect(toString(show._(bshow)._(nshow)._(Pair._(_b(false))._(_n(0))))).toBe('(False, 0)');
-    });
-
-    it('show (False, 1) is "(False, 1)"', () => {
-      expect(toString(show._(bshow)._(nshow)._(Pair._(_b(false))._(_n(1))))).toBe('(False, 1)');
-    });
-
-    it('show (True, 0) is "(True, 0)"', () => {
-      expect(toString(show._(bshow)._(nshow)._(Pair._(_b(true))._(_n(0))))).toBe('(True, 0)');
-    });
-
-    it('show (True, 1) is "(True, 1)"', () => {
-      expect(toString(show._(bshow)._(nshow)._(Pair._(_b(true))._(_n(1))))).toBe('(True, 1)');
-    });
-  });
-});

test/string.spec.ts

@@ -1,376 +0,0 @@
-import { describe, expect, it } from '@jest/globals';
-import { Term, _, _l, g, n, undef } from '../src/core';
-import { NOrd, toNOrd } from '../src/ord';
-import { toBoolean as $b } from '../src/bool';
-import { toNumber as $n, Zero, gt as ngt } from '../src/num';
-import { toChar as $c, fromChar as _c } from '../src/char';
-import { toString as $s, Cons, Empty, fromString as _s, append, cmp, empty, eq, ge, gt, le, len, lt, wrap } from '../src/string';
-import { show } from '../src/string.show';
-
-n('string.spec');
-
-describe('String', () => {
-  const infinite: Term = g('infinite', _(() => Cons._(_c('a'))._(infinite)));
-
-  describe('toString', () => {
-    it('converts ""', () => {
-      expect($s(Empty)).toBe('');
-    });
-
-    it('converts "a"', () => {
-      expect($s(Cons._(_c('a'))._(Empty))).toBe('a');
-    });
-
-    it('converts "abc"', () => {
-      expect($s(Cons._(_c('a'))._(Cons._(_c('b'))._(Cons._(_c('c'))._(Empty))))).toBe('abc');
-    });
-  });
-
-  describe('fromString', () => {
-    it('converts ""', () => {
-      expect($s(_s(''))).toBe('');
-    });
-
-    it('converts "a"', () => {
-      expect($s(_s('a'))).toBe('a');
-    });
-
-    it('converts "2"', () => {
-      expect($s(_s('abc'))).toBe('abc');
-    });
-  });
-
-  // describe('repeat', () => {
-  //   it('repeat "a" is "aaa..."', () => {
-  //     expect($na(
-  //       repeat(_s('a'))<String>(_((x0: Char) => _((x1s: String) =>
-  //         x1s<String>(_((x1: Char) => _((x2s: String) =>
-  //           x2s<String>(_((x2: Char) => _((_xrs: String): String => cons(x0)._(cons(x1)._(cons(x2)._(Nil)))))))))))))).toEqual('aaa');
-  //   });
-  // });
-
-  // describe('iterate', () => {
-  //   it('iterate succ "a" is "abc..."', () => {
-  //     expect($na(
-  //       iterate(_s('a'))<String>(_((x0: Char) => _((x1s: String) =>
-  //         x1s<String>(_((x1: Char) => _((x2s: String) =>
-  //           x2s<String>(_((x2: Char) => _((_xrs: String): String => cons(x0)._(cons(x1)._(cons(x2)._(Nil)))))))))))))).toEqual('abc');
-  //   });
-  // });
-
-  describe('empty', () => {
-    it('empty "" is True', () => {
-      expect($b(empty._(_s('')))).toEqual(true);
-    });
-
-    it('empty "a" is False', () => {
-      expect($b(empty._(_s('a')))).toEqual(false);
-    });
-
-    it('empty "ab" is False', () => {
-      expect($b(empty._(_s('ab')))).toEqual(false);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(empty._(infinite))).toEqual(false);
-    });
-  });
-
-  describe('len', () => {
-    it('len "" is 0', () => {
-      expect($n(len._(_s('')))).toEqual(0);
-    });
-
-    it('len "a" is 1', () => {
-      expect($n(len._(_s('a')))).toEqual(1);
-    });
-
-    it('len "ab" is 2', () => {
-      expect($n(len._(_s('ab')))).toEqual(2);
-    });
-
-    it('handles infinite lists', () => {
-      expect($b(ngt._(len._(infinite))._(Zero))).toEqual(true);
-    });
-  });
-
-  describe('append', () => {
-    it('"" append "" is ""', () => {
-      expect($s(append._(Empty)._(Empty))).toBe('');
-    });
-
-    it('"a" append "b" is "ab"', () => {
-      expect($s(append._(_s('a'))._(_s('b')))).toBe('ab');
-    });
-
-    it('"abc" append "def" is "abcdef"', () => {
-      expect($s(append._(_s('abc'))._(_s('def')))).toBe('abcdef');
-    });
-
-    it('handles infinite strings', () => {
-      expect($c(append._(infinite)._(infinite)._(undef)._(_l(x => _l(_ => x))))).toBe('a');
-    });
-  });
-
-  describe('wrap', () => {
-    it('"" wrap "" is ""', () => {
-      expect($s(wrap._(Empty)._(Empty))).toBe('');
-    });
-
-    it('"a" wrap "b" is "aba"', () => {
-      expect($s(wrap._(_s('a'))._(_s('b')))).toBe('aba');
-    });
-
-    it('handles infinite strings', () => {
-      expect($c(wrap._(infinite)._(infinite)._(undef)._(_l(x => _l(_ => x))))).toBe('a');
-    });
-  });
-
-  describe('cmp', () => {
-    it('"" cmp "" is EQ', () => {
-      expect(toNOrd(cmp._(_s(''))._(_s('')))).toEqual(NOrd.EQ);
-    });
-
-    it('"" cmp "abc" is LT', () => {
-      expect(toNOrd(cmp._(_s(''))._(_s('abc')))).toEqual(NOrd.LT);
-    });
-
-    it('"abc" cmp "" is GT', () => {
-      expect(toNOrd(cmp._(_s('abc'))._(_s('')))).toEqual(NOrd.GT);
-    });
-
-    it('"a" cmp "abc" is LT', () => {
-      expect(toNOrd(cmp._(_s('a'))._(_s('abc')))).toEqual(NOrd.LT);
-    });
-
-    it('"abc" cmp "a" is GT', () => {
-      expect(toNOrd(cmp._(_s('abc'))._(_s('a')))).toEqual(NOrd.GT);
-    });
-
-    it('"bca" cmp "abc" is GT', () => {
-      expect(toNOrd(cmp._(_s('bca'))._(_s('abc')))).toEqual(NOrd.GT);
-    });
-
-    it('"abc" cmp "bca" is LT', () => {
-      expect(toNOrd(cmp._(_s('abc'))._(_s('bca')))).toEqual(NOrd.LT);
-    });
-
-    it('"abc" cmp "abc" is EQ', () => {
-      expect(toNOrd(cmp._(_s('abc'))._(_s('abc')))).toEqual(NOrd.EQ);
-    });
-
-    it('handles infinite strings', () => {
-      expect(toNOrd(cmp._(_s('abc'))._(infinite))).toEqual(NOrd.GT);
-      expect(toNOrd(cmp._(infinite)._(_s('abc')))).toEqual(NOrd.LT);
-    });
-  });
-
-  describe('lt', () => {
-    it('"" lt "" is False', () => {
-      expect($b(lt._(_s(''))._(_s('')))).toEqual(false);
-    });
-
-    it('"" lt "abc" is True', () => {
-      expect($b(lt._(_s(''))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" lt "" is False', () => {
-      expect($b(lt._(_s('abc'))._(_s('')))).toEqual(false);
-    });
-
-    it('"a" lt "abc" is True', () => {
-      expect($b(lt._(_s('a'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" lt "a" is False', () => {
-      expect($b(lt._(_s('abc'))._(_s('a')))).toEqual(false);
-    });
-
-    it('"bca" lt "abc" is False', () => {
-      expect($b(lt._(_s('bca'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" lt "bca" is True', () => {
-      expect($b(lt._(_s('abc'))._(_s('bca')))).toEqual(true);
-    });
-
-    it('"abc" lt "abc" is False', () => {
-      expect($b(lt._(_s('abc'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('handles infinite strings', () => {
-      expect($b(lt._(_s('abc'))._(infinite))).toEqual(false);
-      expect($b(lt._(infinite)._(_s('abc')))).toEqual(true);
-    });
-  });
-
-  describe('le', () => {
-    it('"" le "" is True', () => {
-      expect($b(le._(_s(''))._(_s('')))).toEqual(true);
-    });
-
-    it('"" le "abc" is True', () => {
-      expect($b(le._(_s(''))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" le "" is False', () => {
-      expect($b(le._(_s('abc'))._(_s('')))).toEqual(false);
-    });
-
-    it('"a" le "abc" is True', () => {
-      expect($b(le._(_s('a'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" le "a" is False', () => {
-      expect($b(le._(_s('abc'))._(_s('a')))).toEqual(false);
-    });
-
-    it('"bca" le "abc" is False', () => {
-      expect($b(le._(_s('bca'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" le "bca" is True', () => {
-      expect($b(le._(_s('abc'))._(_s('bca')))).toEqual(true);
-    });
-
-    it('"abc" le "abc" is True', () => {
-      expect($b(le._(_s('abc'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('handles infinite strings', () => {
-      expect($b(le._(_s('abc'))._(infinite))).toEqual(false);
-      expect($b(le._(infinite)._(_s('abc')))).toEqual(true);
-    });
-  });
-
-  describe('eq', () => {
-    it('"" eq "" is True', () => {
-      expect($b(eq._(_s(''))._(_s('')))).toEqual(true);
-    });
-
-    it('"" eq "abc" is False', () => {
-      expect($b(eq._(_s(''))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" eq "" is False', () => {
-      expect($b(eq._(_s('abc'))._(_s('')))).toEqual(false);
-    });
-
-    it('"a" eq "abc" is False', () => {
-      expect($b(eq._(_s('a'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" eq "a" is False', () => {
-      expect($b(eq._(_s('abc'))._(_s('a')))).toEqual(false);
-    });
-
-    it('"bca" eq "abc" is False', () => {
-      expect($b(eq._(_s('bca'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" eq "bca" is False', () => {
-      expect($b(eq._(_s('abc'))._(_s('bca')))).toEqual(false);
-    });
-
-    it('"abc" eq "abc" is True', () => {
-      expect($b(eq._(_s('abc'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('handles infinite strings', () => {
-      expect($b(eq._(_s('abc'))._(infinite))).toEqual(false);
-      expect($b(eq._(infinite)._(_s('abc')))).toEqual(false);
-    });
-  });
-
-  describe('ge', () => {
-    it('"" ge "" is True', () => {
-      expect($b(ge._(_s(''))._(_s('')))).toEqual(true);
-    });
-
-    it('"" ge "abc" is False', () => {
-      expect($b(ge._(_s(''))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" ge "" is True', () => {
-      expect($b(ge._(_s('abc'))._(_s('')))).toEqual(true);
-    });
-
-    it('"a" ge "abc" is False', () => {
-      expect($b(ge._(_s('a'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" ge "a" is True', () => {
-      expect($b(ge._(_s('abc'))._(_s('a')))).toEqual(true);
-    });
-
-    it('"bca" ge "abc" is True', () => {
-      expect($b(ge._(_s('bca'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" ge "bca" is False', () => {
-      expect($b(ge._(_s('abc'))._(_s('bca')))).toEqual(false);
-    });
-
-    it('"abc" ge "abc" is True', () => {
-      expect($b(ge._(_s('abc'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('handles infinite strings', () => {
-      expect($b(ge._(_s('abc'))._(infinite))).toEqual(true);
-      expect($b(ge._(infinite)._(_s('abc')))).toEqual(false);
-    });
-  });
-
-  describe('gt', () => {
-    it('"" gt "" is False', () => {
-      expect($b(gt._(_s(''))._(_s('')))).toEqual(false);
-    });
-
-    it('"" gt "abc" is False', () => {
-      expect($b(gt._(_s(''))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" gt "" is True', () => {
-      expect($b(gt._(_s('abc'))._(_s('')))).toEqual(true);
-    });
-
-    it('"a" gt "abc" is False', () => {
-      expect($b(gt._(_s('a'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('"abc" gt "a" is True', () => {
-      expect($b(gt._(_s('abc'))._(_s('a')))).toEqual(true);
-    });
-
-    it('"bca" gt "abc" is True', () => {
-      expect($b(gt._(_s('bca'))._(_s('abc')))).toEqual(true);
-    });
-
-    it('"abc" gt "bca" is False', () => {
-      expect($b(gt._(_s('abc'))._(_s('bca')))).toEqual(false);
-    });
-
-    it('"abc" gt "abc" is False', () => {
-      expect($b(gt._(_s('abc'))._(_s('abc')))).toEqual(false);
-    });
-
-    it('handles infinite strings', () => {
-      expect($b(gt._(_s('abc'))._(infinite))).toEqual(true);
-      expect($b(gt._(infinite)._(_s('abc')))).toEqual(false);
-    });
-  });
-
-  describe('show', () => {
-    it('show "" is """"', () => {
-      expect($s(show._(_s('')))).toBe('""');
-    });
-
-    it('show "a" is ""a""', () => {
-      expect($s(show._(_s('a')))).toBe('"a"');
-    });
-
-    it('show "abc" is ""abc""', () => {
-      expect($s(show._(_s('abc')))).toBe('"abc"');
-    });
-  });
-});

tools/fetch.sh

@@ -0,0 +1,35 @@
+#!/bin/bash
+
+model=$1
+count=${2:-9000}
+
+mkdir -p ${model}/downloads
+rm -rf ${model}/downloads/*
+
+BOOK_IDS=(
+  174 1342 11 2701 84 2600 1661 215 1952 98 345 35 1497 2147 4300
+)
+
+echo "Downloading books..."
+
+i=1
+for ID in "${BOOK_IDS[@]}"; do
+  echo "Fetching $ID..."
+  curl -s -L "https://www.gutenberg.org/files/$ID/$ID-0.txt" -o "${model}/downloads/$ID.txt"
+  i=$((i+1))
+  if [ ${i} -gt ${count} ]; then
+    break;
+  fi
+done
+
+echo "Concatenating into corpus.txt..."
+
+# Remove headers/footers and join them
+rm -f ${model}/corpus.txt
+for FILE in ${model}/downloads/*.txt; do
+  awk '/\*\*\* START OF/,/\*\*\* END OF/ { if (!/START|END/) print }' "$FILE" >> ${model}/corpus.txt
+  echo >> ${model}/corpus.txt
+done
+
+echo "All done. Corpus size:"
+du -h ${model}/corpus.txt

tools/stats.py

@@ -0,0 +1,178 @@
+import sys
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+import matplotlib.dates as mdates  # Add this import at the top
+import select
+from datetime import datetime
+import threading
+import queue
+
+fig = plt.figure(figsize=(10, 6))
+
+ax_lr = fig.add_axes([0.05, 0.3, 0.9, 0.65])
+ax_lr.set_facecolor("none")
+ax_lr.set_ylim(bottom=0, top=None)
+ax_lr.yaxis.set_ticks_position('right')
+ax_lr.tick_params(axis='y', labelcolor='tab:brown')
+
+ax_acc = fig.add_axes([0.05, 0.3, 0.9, 0.65], sharex=ax_lr)
+ax_acc.set_facecolor("none")
+ax_acc.set_ylim(0, 100)
+ax_acc.yaxis.set_ticks_position('right')
+ax_acc.tick_params(axis='y', labelcolor='tab:green')
+
+ax_loss = fig.add_axes([0.05, 0.3, 0.9, 0.65], sharex=ax_lr)
+ax_loss.set_facecolor("none")
+ax_loss.set_ylim(bottom=0, top=None)
+ax_loss.tick_params(axis='y', labelcolor='tab:blue')
+
+ax_time = fig.add_axes([0.05, 0.05, 0.9, 0.2])
+ax_time.set_facecolor("none")
+ax_time.set_ylim(bottom=0, top=None)
+ax_time.yaxis.set_ticks_position('right')
+ax_time.tick_params(axis='y', labelcolor='tab:orange')
+
+columns = ["index", "timestamp", "epoch", "batch", "lr", "loss", "accuracy", "grad_inp", "grad_qry", "grad_key", "grad_val", "grad_out", "queue_ms", "compute_ms", "infer_ms"]
+df = pd.DataFrame(columns=columns)
+ema_alpha = 0.1
+window_size = 50
+
+def parse_line(line):
+    try:
+        parts = line.strip().split(",")
+        if parts[0] == "index" or len(parts) < len(columns):
+            return None
+        row = {
+            "index": int(parts[0]),
+            "timestamp": datetime.fromtimestamp(int(parts[1]) / 1000),
+            "epoch": int(parts[2]),
+            "batch": int(parts[3]),
+            "lr": float(parts[4]),
+            "loss": float(parts[5]),
+            "accuracy": float(parts[6]) * 100,
+            "grad_inp": float(parts[7]),
+            "grad_qry": float(parts[8]),
+            "grad_key": float(parts[9]),
+            "grad_val": float(parts[10]),
+            "grad_out": float(parts[11]),
+            "queue_ms": float(parts[12]),
+            "compute_ms": float(parts[13]),
+            "infer_ms": float(parts[14]),
+        }
+        return row
+    except Exception as e:
+        print(f"Bad line: {line.strip()} ({e})", file=sys.stderr)
+        return None
+
+line_queue = queue.Queue()
+
+def stdin_reader():
+    for line in sys.stdin:
+        line_queue.put(line)
+
+threading.Thread(target=stdin_reader, daemon=True).start()
+
+def get_new_lines():
+    lines = []
+    while not line_queue.empty():
+        lines.append(line_queue.get())
+    return lines
+
+last_seen_index = None
+
+def animate(_):
+    global df
+
+    lines = get_new_lines()
+    if not lines:
+        return
+
+    new_rows = [parse_line(line) for line in lines]
+    new_rows = [r for r in new_rows if r is not None]
+
+    if not new_rows:
+      return
+
+    global last_seen_index
+
+    new_index = new_rows[-1]["index"]
+    if last_seen_index and (new_index < last_seen_index):
+        print("Index reset, restarting plot")
+        df = pd.DataFrame(columns=columns)
+
+    last_seen_index = new_index
+
+    df_new = pd.DataFrame(new_rows)
+    df_new["total_ms"] = df_new["queue_ms"] + df_new["compute_ms"] + df_new["infer_ms"]
+    df = pd.concat([df, df_new], ignore_index=True)
+
+    df["ema_loss"] = df["loss"].ewm(alpha=ema_alpha).mean().combine_first(df["loss"])
+    df["avg_loss"] = df["loss"].rolling(window=window_size).mean().combine_first(df["loss"])
+    df["avg_accuracy"] = df["accuracy"].rolling(window=window_size).mean().combine_first(df["accuracy"])
+    df["avg_total_ms"] = df["total_ms"].rolling(window=window_size).mean().combine_first(df["total_ms"])
+
+    ax_lr.clear()
+    ax_lr.set_ylabel("LR")
+    ax_lr.yaxis.set_label_position("right")
+
+    ax_acc.clear()
+    ax_acc.set_ylabel("Accuracy (%)")
+
+    ax_loss.clear()
+    ax_loss.set_title("Live Training Metrics")
+    ax_loss.set_xlabel("Epoch / Batch")
+    ax_loss.set_ylabel("Loss")
+    ax_acc.yaxis.set_label_position("right")
+
+    ax_time.clear()
+    ax_time.set_xlabel("Time")
+    ax_time.set_ylabel("Processing Time (ms)")
+    ax_time.yaxis.set_label_position("right")
+
+    ax_lr.plot(df["index"], df["lr"], label="LR", linestyle='--', alpha=0.3, color="tab:brown")
+
+    ax_acc.plot(df["index"], df["accuracy"], label="Accuracy", linestyle='--', alpha=0.3, color="tab:green")
+    ax_acc.plot(df["index"], df["avg_accuracy"], label="Avg Accuracy",  color="tab:green")
+
+    ax_loss.plot(df["index"], df["loss"], label="Loss", linestyle=':', alpha=0.3, color="tab:blue")
+    ax_loss.plot(df["index"], df["ema_loss"], label="EMA Loss", linestyle='--', alpha=0.7, color="tab:blue")
+    ax_loss.plot(df["index"], df["avg_loss"], label=f"Avg Loss", color="tab:blue")
+
+    ax_time.plot(df["index"], df["queue_ms"], label="Queueing", linestyle=':', alpha=0.3, color="#ffa64d")
+    ax_time.plot(df["index"], df["compute_ms"], label="Computing", linestyle=':', alpha=0.3, color="#cc6600")
+    ax_time.plot(df["index"], df["infer_ms"], label="Inferring", linestyle=':', alpha=0.3, color="#ffb84d")
+    ax_time.plot(df["index"], df["total_ms"], label="Total Time",linestyle='--', alpha=0.7, color="tab:orange")
+    ax_time.plot(df["index"], df["avg_total_ms"], label="Avg Total Time", color="tab:orange")
+
+    # Add epoch/batch label ticks to secondary X axis
+    tick_locs = ax_time.get_xticks()
+    tick_labels = []
+
+    if not df.empty:
+        for loc in tick_locs:
+            idx = (abs(df["index"] - loc)).argmin()
+            e, b = int(df.iloc[idx]["epoch"]), int(df.iloc[idx]["batch"])
+            tick_labels.append(f"{e + 1}/{b + 1}")
+    else:
+        tick_labels = [""] * len(tick_locs)
+
+    ax_loss.set_xlim(ax_time.get_xlim())
+    ax_loss.set_xticks(tick_locs)
+    ax_loss.set_xticklabels(tick_labels)
+
+    # Gather all legend entries
+    lines = []
+    labels = []
+
+    for ax in [ax_lr, ax_acc, ax_loss]:
+        l, lab = ax.get_legend_handles_labels()
+        lines += l
+        labels += lab
+
+    # Add combined legend to ax_loss
+    ax_loss.legend(lines, labels, loc='upper left')  # or 'upper right', etc.
+    ax_time.legend(loc='upper left')
+
+ani = animation.FuncAnimation(fig, animate, interval=1000)
+plt.show()

tsconfig.json

@@ -7,7 +7,7 @@
     "moduleResolution": "Node",
     "esModuleInterop": true,
     "lib": [
-      "ES2022"
+      "DOM", "ES2022"
     ],
     "noImplicitAny": true,
     "noImplicitOverride": true,

yarn.lock

@@ -966,6 +966,16 @@
     "@typescript-eslint/types" "8.2.0"
     eslint-visitor-keys "^3.4.3"
 
+"@webgpu/glslang@^0.0.15":
+  version "0.0.15"
+  resolved "https://registry.yarnpkg.com/@webgpu/glslang/-/glslang-0.0.15.tgz#f5ccaf6015241e6175f4b90906b053f88483d1f2"
+  integrity sha512-niT+Prh3Aff8Uf1MVBVUsaNjFj9rJAKDXuoHIKiQbB+6IUP/3J3JIhBNyZ7lDhytvXxw6ppgnwKZdDJ08UMj4Q==
+
+"@webgpu/types@^0.1.54", "@webgpu/types@^0.1.60":
+  version "0.1.60"
+  resolved "https://registry.yarnpkg.com/@webgpu/types/-/types-0.1.60.tgz#4f58e763ce060a81b03ab7ee1ad879c7024923fd"
+  integrity sha512-8B/tdfRFKdrnejqmvq95ogp8tf52oZ51p3f4QD5m5Paey/qlX4Rhhy5Y8tgFMi7Ms70HzcMMw3EQjH/jdhTwlA==
+
 acorn-jsx@^5.3.2:
   version "5.3.2"
   resolved "https://registry.yarnpkg.com/acorn-jsx/-/acorn-jsx-5.3.2.tgz#7ed5bb55908b3b2f1bc55c6af1653bada7f07937"
@@ -1049,6 +1059,16 @@ argparse@^2.0.1:
   resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
   integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
 
+array-back@^3.0.1, array-back@^3.1.0:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/array-back/-/array-back-3.1.0.tgz#b8859d7a508871c9a7b2cf42f99428f65e96bfb0"
+  integrity sha512-TkuxA4UCOvxuDK6NZYXCalszEzj+TLszyASooky+i742l9TqsOdYCMJJupxRic61hwquNtppB3hgcuq9SVSH1Q==
+
+array-back@^4.0.1, array-back@^4.0.2:
+  version "4.0.2"
+  resolved "https://registry.yarnpkg.com/array-back/-/array-back-4.0.2.tgz#8004e999a6274586beeb27342168652fdb89fa1e"
+  integrity sha512-NbdMezxqf94cnNfWLL7V/im0Ub+Anbb0IoZhvzie8+4HJ4nMQuzHuy49FkGYCJK2yAloZ3meiB6AVMClbrI1vg==
+
 array-union@^2.1.0:
   version "2.1.0"
   resolved "https://registry.yarnpkg.com/array-union/-/array-union-2.1.0.tgz#b798420adbeb1de828d84acd8a2e23d3efe85e8d"
@@ -1204,7 +1224,7 @@ chalk@^2.4.2:
     escape-string-regexp "^1.0.5"
     supports-color "^5.3.0"
 
-chalk@^4.0.0, chalk@^4.0.2:
+chalk@^4.0.0, chalk@^4.0.2, chalk@^4.1.0:
   version "4.1.2"
   resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
   integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
@@ -1270,6 +1290,26 @@ color-name@~1.1.4:
   resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
   integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
 
+command-line-args@^5.1.1:
+  version "5.2.1"
+  resolved "https://registry.yarnpkg.com/command-line-args/-/command-line-args-5.2.1.tgz#c44c32e437a57d7c51157696893c5909e9cec42e"
+  integrity sha512-H4UfQhZyakIjC74I9d34fGYDwk3XpSr17QhEd0Q3I9Xq1CETHo4Hcuo87WyWHpAF1aSLjLRf5lD9ZGX2qStUvg==
+  dependencies:
+    array-back "^3.1.0"
+    find-replace "^3.0.0"
+    lodash.camelcase "^4.3.0"
+    typical "^4.0.0"
+
+command-line-usage@^6.1.0:
+  version "6.1.3"
+  resolved "https://registry.yarnpkg.com/command-line-usage/-/command-line-usage-6.1.3.tgz#428fa5acde6a838779dfa30e44686f4b6761d957"
+  integrity sha512-sH5ZSPr+7UStsloltmDh7Ce5fb8XPlHyoPzTpyyMuYCtervL65+ubVZ6Q61cFtFl62UyJlc8/JwERRbAFPUqgw==
+  dependencies:
+    array-back "^4.0.2"
+    chalk "^2.4.2"
+    table-layout "^1.0.2"
+    typical "^5.2.0"
+
 concat-map@0.0.1:
   version "0.0.1"
   resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
@@ -1326,6 +1366,11 @@ dedent@^1.0.0:
   resolved "https://registry.yarnpkg.com/dedent/-/dedent-1.5.3.tgz#99aee19eb9bae55a67327717b6e848d0bf777e5a"
   integrity sha512-NHQtfOOW68WD8lgypbLA5oT+Bt0xXJhiYvoR6SmmNXZfpzOGXwdKWmcwG8N7PwVVWV3eF/68nmD9BaJSsTBhyQ==
 
+deep-extend@~0.6.0:
+  version "0.6.0"
+  resolved "https://registry.yarnpkg.com/deep-extend/-/deep-extend-0.6.0.tgz#c4fa7c95404a17a9c3e8ca7e1537312b736330ac"
+  integrity sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA==
+
 deep-is@^0.1.3:
   version "0.1.4"
   resolved "https://registry.yarnpkg.com/deep-is/-/deep-is-0.1.4.tgz#a6f2dce612fadd2ef1f519b73551f17e85199831"
@@ -1600,6 +1645,13 @@ fill-range@^7.1.1:
   dependencies:
     to-regex-range "^5.0.1"
 
+find-replace@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/find-replace/-/find-replace-3.0.0.tgz#3e7e23d3b05167a76f770c9fbd5258b0def68c38"
+  integrity sha512-6Tb2myMioCAgv5kfvP5/PkZZ/ntTpVK39fHY7WkWBgvbeE+VHd/tZuZ4mrC+bxh4cfOZeYKVPaJIZtZXV7GNCQ==
+  dependencies:
+    array-back "^3.0.1"
+
 find-up@^4.0.0, find-up@^4.1.0:
   version "4.1.0"
   resolved "https://registry.yarnpkg.com/find-up/-/find-up-4.1.0.tgz#97afe7d6cdc0bc5928584b7c8d7b16e8a9aa5d19"
@@ -2357,6 +2409,11 @@ locate-path@^6.0.0:
   dependencies:
     p-locate "^5.0.0"
 
+lodash.camelcase@^4.3.0:
+  version "4.3.0"
+  resolved "https://registry.yarnpkg.com/lodash.camelcase/-/lodash.camelcase-4.3.0.tgz#b28aa6288a2b9fc651035c7711f65ab6190331a6"
+  integrity sha512-TwuEnCnxbc3rAvhf/LbG7tJUDzhqXyFnv3dtzLOPgCG/hODL7WFnsbwktkD7yUV0RrreP/l1PALq/YSg6VvjlA==
+
 lodash.memoize@4.x:
   version "4.1.2"
   resolved "https://registry.yarnpkg.com/lodash.memoize/-/lodash.memoize-4.1.2.tgz#bcc6c49a42a2840ed997f323eada5ecd182e0bfe"
@@ -2639,6 +2696,11 @@ react-is@^18.0.0:
   resolved "https://registry.yarnpkg.com/react-is/-/react-is-18.3.1.tgz#e83557dc12eae63a99e003a46388b1dcbb44db7e"
   integrity sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==
 
+reduce-flatten@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/reduce-flatten/-/reduce-flatten-2.0.0.tgz#734fd84e65f375d7ca4465c69798c25c9d10ae27"
+  integrity sha512-EJ4UNY/U1t2P/2k6oqotuX2Cc3T6nxJwsM0N0asT7dhrtH1ltUxDn4NalSYmPE2rCkVpcf/X6R0wDwcFpzhd4w==
+
 require-directory@^2.1.1:
   version "2.1.1"
   resolved "https://registry.yarnpkg.com/require-directory/-/require-directory-2.1.1.tgz#8c64ad5fd30dab1c976e2344ffe7f792a6a6df42"
@@ -2749,6 +2811,11 @@ stack-utils@^2.0.3:
   dependencies:
     escape-string-regexp "^2.0.0"
 
+string-format@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/string-format/-/string-format-2.0.0.tgz#f2df2e7097440d3b65de31b6d40d54c96eaffb9b"
+  integrity sha512-bbEs3scLeYNXLecRRuk6uJxdXUSj6le/8rNPHChIJTn2V79aXVTR1EH2OH5zLKKoz0V02fOUKZZcw01pLUShZA==
+
 string-length@^4.0.1:
   version "4.0.2"
   resolved "https://registry.yarnpkg.com/string-length/-/string-length-4.0.2.tgz#a8a8dc7bd5c1a82b9b3c8b87e125f66871b6e57a"
@@ -2814,6 +2881,16 @@ supports-preserve-symlinks-flag@^1.0.0:
   resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
   integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
 
+table-layout@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/table-layout/-/table-layout-1.0.2.tgz#c4038a1853b0136d63365a734b6931cf4fad4a04"
+  integrity sha512-qd/R7n5rQTRFi+Zf2sk5XVVd9UQl6ZkduPFC3S7WEGJAmetDTjY3qPN50eSKzwuzEyQKy5TN2TiZdkIjos2L6A==
+  dependencies:
+    array-back "^4.0.1"
+    deep-extend "~0.6.0"
+    typical "^5.2.0"
+    wordwrapjs "^4.0.0"
+
 test-exclude@^6.0.0:
   version "6.0.0"
   resolved "https://registry.yarnpkg.com/test-exclude/-/test-exclude-6.0.0.tgz#04a8698661d805ea6fa293b6cb9e63ac044ef15e"
@@ -2850,6 +2927,16 @@ ts-api-utils@^1.3.0:
   resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-1.3.0.tgz#4b490e27129f1e8e686b45cc4ab63714dc60eea1"
   integrity sha512-UQMIo7pb8WRomKR1/+MFVLTroIvDVtMX3K6OUir8ynLyzB8Jeriont2bTAtmNPa1ekAgN7YPDyf6V+ygrdU+eQ==
 
+ts-command-line-args@^2.5.1:
+  version "2.5.1"
+  resolved "https://registry.yarnpkg.com/ts-command-line-args/-/ts-command-line-args-2.5.1.tgz#e64456b580d1d4f6d948824c274cf6fa5f45f7f0"
+  integrity sha512-H69ZwTw3rFHb5WYpQya40YAX2/w7Ut75uUECbgBIsLmM+BNuYnxsltfyyLMxy6sEeKxgijLTnQtLd0nKd6+IYw==
+  dependencies:
+    chalk "^4.1.0"
+    command-line-args "^5.1.1"
+    command-line-usage "^6.1.0"
+    string-format "^2.0.0"
+
 ts-jest@^29.2.3:
   version "29.2.3"
   resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.2.3.tgz#3d226ac36b8b820151a38f164414f9f6b412131f"
@@ -2906,6 +2993,16 @@ typescript@^5.5.4:
   resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.5.4.tgz#d9852d6c82bad2d2eda4fd74a5762a8f5909e9ba"
   integrity sha512-Mtq29sKDAEYP7aljRgtPOpTvOfbwRWlS6dPRzwjdE+C0R4brX/GUyhHSecbHMFLNBLcJIPt9nl9yG5TZ1weH+Q==
 
+typical@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/typical/-/typical-4.0.0.tgz#cbeaff3b9d7ae1e2bbfaf5a4e6f11eccfde94fc4"
+  integrity sha512-VAH4IvQ7BDFYglMd7BPRDfLgxZZX4O4TFcRDA6EN5X7erNJJq+McIEp8np9aVtxrCJ6qx4GTYVfOWNjcqwZgRw==
+
+typical@^5.2.0:
+  version "5.2.0"
+  resolved "https://registry.yarnpkg.com/typical/-/typical-5.2.0.tgz#4daaac4f2b5315460804f0acf6cb69c52bb93066"
+  integrity sha512-dvdQgNDNJo+8B2uBQoqdb11eUCE1JQXhvjC/CZtgvZseVd5TYMXnq0+vuUemXbd/Se29cTaUuPX3YIc2xgbvIg==
+
 undici-types@~5.26.4:
   version "5.26.5"
   resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.26.5.tgz#bcd539893d00b56e964fd2657a4866b221a65617"
@@ -2947,6 +3044,13 @@ walker@^1.0.8:
   dependencies:
     makeerror "1.0.12"
 
+webgpu@^0.2.11:
+  version "0.2.11"
+  resolved "https://registry.yarnpkg.com/webgpu/-/webgpu-0.2.11.tgz#f5325540ba9cfe075c3f90d914749fc4c6126cdc"
+  integrity sha512-eF6pVzdtqmIhREDNkZWMzktHoeS9jIa649wrNvc9/ZDsqC8WBuTpS8af1UoLbQzyvCn34IsHPqMCxG2uTe7lOg==
+  dependencies:
+    "@webgpu/types" "^0.1.54"
+
 which@^2.0.1:
   version "2.0.2"
   resolved "https://registry.yarnpkg.com/which/-/which-2.0.2.tgz#7c6a8dd0a636a0327e10b59c9286eee93f3f51b1"
@@ -2959,6 +3063,14 @@ word-wrap@^1.2.5:
   resolved "https://registry.yarnpkg.com/word-wrap/-/word-wrap-1.2.5.tgz#d2c45c6dd4fbce621a66f136cbe328afd0410b34"
   integrity sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==
 
+wordwrapjs@^4.0.0:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/wordwrapjs/-/wordwrapjs-4.0.1.tgz#d9790bccfb110a0fc7836b5ebce0937b37a8b98f"
+  integrity sha512-kKlNACbvHrkpIw6oPeYDSmdCTu2hdMHoyXLTcUKala++lx5Y+wjJ/e474Jqv5abnVmwxw08DiTuHmw69lJGksA==
+  dependencies:
+    reduce-flatten "^2.0.0"
+    typical "^5.2.0"
+
 wrap-ansi@^7.0.0:
   version "7.0.0"
   resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
@@ -2996,7 +3108,7 @@ yargs-parser@^21.0.1, yargs-parser@^21.1.1:
   resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-21.1.1.tgz#9096bceebf990d21bb31fa9516e0ede294a77d35"
   integrity sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==
 
-yargs@^17.3.1:
+yargs@^17.3.1, yargs@^17.7.2:
   version "17.7.2"
   resolved "https://registry.yarnpkg.com/yargs/-/yargs-17.7.2.tgz#991df39aca675a192b816e1e0363f9d75d2aa269"
   integrity sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==