Initial commit
This commit is contained in:
24
.gitignore
vendored
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24
.gitignore
vendored
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@@ -0,0 +1,24 @@
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# Logs
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logs
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*.log
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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pnpm-debug.log*
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lerna-debug.log*
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node_modules
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dist
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dist-ssr
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*.local
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# Editor directories and files
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.vscode/*
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!.vscode/extensions.json
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.idea
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.DS_Store
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*.suo
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*.ntvs*
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*.njsproj
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*.sln
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*.sw?
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73
README.md
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73
README.md
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@@ -0,0 +1,73 @@
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# React + TypeScript + Vite
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This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
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Currently, two official plugins are available:
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- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh
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- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
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## React Compiler
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The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
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## Expanding the ESLint configuration
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If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules:
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```js
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export default defineConfig([
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globalIgnores(['dist']),
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{
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files: ['**/*.{ts,tsx}'],
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extends: [
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// Other configs...
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// Remove tseslint.configs.recommended and replace with this
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tseslint.configs.recommendedTypeChecked,
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// Alternatively, use this for stricter rules
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tseslint.configs.strictTypeChecked,
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// Optionally, add this for stylistic rules
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tseslint.configs.stylisticTypeChecked,
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// Other configs...
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],
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languageOptions: {
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parserOptions: {
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project: ['./tsconfig.node.json', './tsconfig.app.json'],
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tsconfigRootDir: import.meta.dirname,
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},
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// other options...
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},
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},
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])
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```
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You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
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```js
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// eslint.config.js
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import reactX from 'eslint-plugin-react-x'
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import reactDom from 'eslint-plugin-react-dom'
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export default defineConfig([
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globalIgnores(['dist']),
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{
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files: ['**/*.{ts,tsx}'],
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extends: [
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// Other configs...
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// Enable lint rules for React
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reactX.configs['recommended-typescript'],
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// Enable lint rules for React DOM
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reactDom.configs.recommended,
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],
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languageOptions: {
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parserOptions: {
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project: ['./tsconfig.node.json', './tsconfig.app.json'],
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tsconfigRootDir: import.meta.dirname,
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},
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// other options...
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},
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},
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])
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```
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478
bun.lock
Normal file
478
bun.lock
Normal file
@@ -0,0 +1,478 @@
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{
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"lockfileVersion": 1,
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"configVersion": 1,
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"workspaces": {
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"": {
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"name": "evolution",
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"dependencies": {
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"react": "^19.2.0",
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"react-dom": "^19.2.0",
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},
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"devDependencies": {
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"@eslint/js": "^9.39.1",
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"@types/node": "^24.10.1",
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"@types/react": "^19.2.5",
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"@types/react-dom": "^19.2.3",
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"@vitejs/plugin-react": "^5.1.1",
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"eslint": "^9.39.1",
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"eslint-plugin-react-hooks": "^7.0.1",
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"eslint-plugin-react-refresh": "^0.4.24",
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"globals": "^16.5.0",
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"typescript": "~5.9.3",
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"typescript-eslint": "^8.46.4",
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"vite": "^7.2.4",
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},
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},
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},
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"packages": {
|
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"@babel/code-frame": ["@babel/code-frame@7.27.1", "", { "dependencies": { "@babel/helper-validator-identifier": "^7.27.1", "js-tokens": "^4.0.0", "picocolors": "^1.1.1" } }, "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg=="],
|
||||
|
||||
"@babel/compat-data": ["@babel/compat-data@7.28.5", "", {}, "sha512-6uFXyCayocRbqhZOB+6XcuZbkMNimwfVGFji8CTZnCzOHVGvDqzvitu1re2AU5LROliz7eQPhB8CpAMvnx9EjA=="],
|
||||
|
||||
"@babel/core": ["@babel/core@7.28.5", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/generator": "^7.28.5", "@babel/helper-compilation-targets": "^7.27.2", "@babel/helper-module-transforms": "^7.28.3", "@babel/helpers": "^7.28.4", "@babel/parser": "^7.28.5", "@babel/template": "^7.27.2", "@babel/traverse": "^7.28.5", "@babel/types": "^7.28.5", "@jridgewell/remapping": "^2.3.5", "convert-source-map": "^2.0.0", "debug": "^4.1.0", "gensync": "^1.0.0-beta.2", "json5": "^2.2.3", "semver": "^6.3.1" } }, "sha512-e7jT4DxYvIDLk1ZHmU/m/mB19rex9sv0c2ftBtjSBv+kVM/902eh0fINUzD7UwLLNR+jU585GxUJ8/EBfAM5fw=="],
|
||||
|
||||
"@babel/generator": ["@babel/generator@7.28.5", "", { "dependencies": { "@babel/parser": "^7.28.5", "@babel/types": "^7.28.5", "@jridgewell/gen-mapping": "^0.3.12", "@jridgewell/trace-mapping": "^0.3.28", "jsesc": "^3.0.2" } }, "sha512-3EwLFhZ38J4VyIP6WNtt2kUdW9dokXA9Cr4IVIFHuCpZ3H8/YFOl5JjZHisrn1fATPBmKKqXzDFvh9fUwHz6CQ=="],
|
||||
|
||||
"@babel/helper-compilation-targets": ["@babel/helper-compilation-targets@7.27.2", "", { "dependencies": { "@babel/compat-data": "^7.27.2", "@babel/helper-validator-option": "^7.27.1", "browserslist": "^4.24.0", "lru-cache": "^5.1.1", "semver": "^6.3.1" } }, "sha512-2+1thGUUWWjLTYTHZWK1n8Yga0ijBz1XAhUXcKy81rd5g6yh7hGqMp45v7cadSbEHc9G3OTv45SyneRN3ps4DQ=="],
|
||||
|
||||
"@babel/helper-globals": ["@babel/helper-globals@7.28.0", "", {}, "sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw=="],
|
||||
|
||||
"@babel/helper-module-imports": ["@babel/helper-module-imports@7.27.1", "", { "dependencies": { "@babel/traverse": "^7.27.1", "@babel/types": "^7.27.1" } }, "sha512-0gSFWUPNXNopqtIPQvlD5WgXYI5GY2kP2cCvoT8kczjbfcfuIljTbcWrulD1CIPIX2gt1wghbDy08yE1p+/r3w=="],
|
||||
|
||||
"@babel/helper-module-transforms": ["@babel/helper-module-transforms@7.28.3", "", { "dependencies": { "@babel/helper-module-imports": "^7.27.1", "@babel/helper-validator-identifier": "^7.27.1", "@babel/traverse": "^7.28.3" }, "peerDependencies": { "@babel/core": "^7.0.0" } }, "sha512-gytXUbs8k2sXS9PnQptz5o0QnpLL51SwASIORY6XaBKF88nsOT0Zw9szLqlSGQDP/4TljBAD5y98p2U1fqkdsw=="],
|
||||
|
||||
"@babel/helper-plugin-utils": ["@babel/helper-plugin-utils@7.27.1", "", {}, "sha512-1gn1Up5YXka3YYAHGKpbideQ5Yjf1tDa9qYcgysz+cNCXukyLl6DjPXhD3VRwSb8c0J9tA4b2+rHEZtc6R0tlw=="],
|
||||
|
||||
"@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],
|
||||
|
||||
"@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.28.5", "", {}, "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q=="],
|
||||
|
||||
"@babel/helper-validator-option": ["@babel/helper-validator-option@7.27.1", "", {}, "sha512-YvjJow9FxbhFFKDSuFnVCe2WxXk1zWc22fFePVNEaWJEu8IrZVlda6N0uHwzZrUM1il7NC9Mlp4MaJYbYd9JSg=="],
|
||||
|
||||
"@babel/helpers": ["@babel/helpers@7.28.4", "", { "dependencies": { "@babel/template": "^7.27.2", "@babel/types": "^7.28.4" } }, "sha512-HFN59MmQXGHVyYadKLVumYsA9dBFun/ldYxipEjzA4196jpLZd8UjEEBLkbEkvfYreDqJhZxYAWFPtrfhNpj4w=="],
|
||||
|
||||
"@babel/parser": ["@babel/parser@7.28.5", "", { "dependencies": { "@babel/types": "^7.28.5" }, "bin": "./bin/babel-parser.js" }, "sha512-KKBU1VGYR7ORr3At5HAtUQ+TV3SzRCXmA/8OdDZiLDBIZxVyzXuztPjfLd3BV1PRAQGCMWWSHYhL0F8d5uHBDQ=="],
|
||||
|
||||
"@babel/plugin-transform-react-jsx-self": ["@babel/plugin-transform-react-jsx-self@7.27.1", "", { "dependencies": { "@babel/helper-plugin-utils": "^7.27.1" }, "peerDependencies": { "@babel/core": "^7.0.0-0" } }, "sha512-6UzkCs+ejGdZ5mFFC/OCUrv028ab2fp1znZmCZjAOBKiBK2jXD1O+BPSfX8X2qjJ75fZBMSnQn3Rq2mrBJK2mw=="],
|
||||
|
||||
"@babel/plugin-transform-react-jsx-source": ["@babel/plugin-transform-react-jsx-source@7.27.1", "", { "dependencies": { "@babel/helper-plugin-utils": "^7.27.1" }, "peerDependencies": { "@babel/core": "^7.0.0-0" } }, "sha512-zbwoTsBruTeKB9hSq73ha66iFeJHuaFkUbwvqElnygoNbj/jHRsSeokowZFN3CZ64IvEqcmmkVe89OPXc7ldAw=="],
|
||||
|
||||
"@babel/template": ["@babel/template@7.27.2", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/parser": "^7.27.2", "@babel/types": "^7.27.1" } }, "sha512-LPDZ85aEJyYSd18/DkjNh4/y1ntkE5KwUHWTiqgRxruuZL2F1yuHligVHLvcHY2vMHXttKFpJn6LwfI7cw7ODw=="],
|
||||
|
||||
"@babel/traverse": ["@babel/traverse@7.28.5", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/generator": "^7.28.5", "@babel/helper-globals": "^7.28.0", "@babel/parser": "^7.28.5", "@babel/template": "^7.27.2", "@babel/types": "^7.28.5", "debug": "^4.3.1" } }, "sha512-TCCj4t55U90khlYkVV/0TfkJkAkUg3jZFA3Neb7unZT8CPok7iiRfaX0F+WnqWqt7OxhOn0uBKXCw4lbL8W0aQ=="],
|
||||
|
||||
"@babel/types": ["@babel/types@7.28.5", "", { "dependencies": { "@babel/helper-string-parser": "^7.27.1", "@babel/helper-validator-identifier": "^7.28.5" } }, "sha512-qQ5m48eI/MFLQ5PxQj4PFaprjyCTLI37ElWMmNs0K8Lk3dVeOdNpB3ks8jc7yM5CDmVC73eMVk/trk3fgmrUpA=="],
|
||||
|
||||
"@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.27.2", "", { "os": "aix", "cpu": "ppc64" }, "sha512-GZMB+a0mOMZs4MpDbj8RJp4cw+w1WV5NYD6xzgvzUJ5Ek2jerwfO2eADyI6ExDSUED+1X8aMbegahsJi+8mgpw=="],
|
||||
|
||||
"@esbuild/android-arm": ["@esbuild/android-arm@0.27.2", "", { "os": "android", "cpu": "arm" }, "sha512-DVNI8jlPa7Ujbr1yjU2PfUSRtAUZPG9I1RwW4F4xFB1Imiu2on0ADiI/c3td+KmDtVKNbi+nffGDQMfcIMkwIA=="],
|
||||
|
||||
"@esbuild/android-arm64": ["@esbuild/android-arm64@0.27.2", "", { "os": "android", "cpu": "arm64" }, "sha512-pvz8ZZ7ot/RBphf8fv60ljmaoydPU12VuXHImtAs0XhLLw+EXBi2BLe3OYSBslR4rryHvweW5gmkKFwTiFy6KA=="],
|
||||
|
||||
"@esbuild/android-x64": ["@esbuild/android-x64@0.27.2", "", { "os": "android", "cpu": "x64" }, "sha512-z8Ank4Byh4TJJOh4wpz8g2vDy75zFL0TlZlkUkEwYXuPSgX8yzep596n6mT7905kA9uHZsf/o2OJZubl2l3M7A=="],
|
||||
|
||||
"@esbuild/darwin-arm64": ["@esbuild/darwin-arm64@0.27.2", "", { "os": "darwin", "cpu": "arm64" }, "sha512-davCD2Zc80nzDVRwXTcQP/28fiJbcOwvdolL0sOiOsbwBa72kegmVU0Wrh1MYrbuCL98Omp5dVhQFWRKR2ZAlg=="],
|
||||
|
||||
"@esbuild/darwin-x64": ["@esbuild/darwin-x64@0.27.2", "", { "os": "darwin", "cpu": "x64" }, "sha512-ZxtijOmlQCBWGwbVmwOF/UCzuGIbUkqB1faQRf5akQmxRJ1ujusWsb3CVfk/9iZKr2L5SMU5wPBi1UWbvL+VQA=="],
|
||||
|
||||
"@esbuild/freebsd-arm64": ["@esbuild/freebsd-arm64@0.27.2", "", { "os": "freebsd", "cpu": "arm64" }, "sha512-lS/9CN+rgqQ9czogxlMcBMGd+l8Q3Nj1MFQwBZJyoEKI50XGxwuzznYdwcav6lpOGv5BqaZXqvBSiB/kJ5op+g=="],
|
||||
|
||||
"@esbuild/freebsd-x64": ["@esbuild/freebsd-x64@0.27.2", "", { "os": "freebsd", "cpu": "x64" }, "sha512-tAfqtNYb4YgPnJlEFu4c212HYjQWSO/w/h/lQaBK7RbwGIkBOuNKQI9tqWzx7Wtp7bTPaGC6MJvWI608P3wXYA=="],
|
||||
|
||||
"@esbuild/linux-arm": ["@esbuild/linux-arm@0.27.2", "", { "os": "linux", "cpu": "arm" }, "sha512-vWfq4GaIMP9AIe4yj1ZUW18RDhx6EPQKjwe7n8BbIecFtCQG4CfHGaHuh7fdfq+y3LIA2vGS/o9ZBGVxIDi9hw=="],
|
||||
|
||||
"@esbuild/linux-arm64": ["@esbuild/linux-arm64@0.27.2", "", { "os": "linux", "cpu": "arm64" }, "sha512-hYxN8pr66NsCCiRFkHUAsxylNOcAQaxSSkHMMjcpx0si13t1LHFphxJZUiGwojB1a/Hd5OiPIqDdXONia6bhTw=="],
|
||||
|
||||
"@esbuild/linux-ia32": ["@esbuild/linux-ia32@0.27.2", "", { "os": "linux", "cpu": "ia32" }, "sha512-MJt5BRRSScPDwG2hLelYhAAKh9imjHK5+NE/tvnRLbIqUWa+0E9N4WNMjmp/kXXPHZGqPLxggwVhz7QP8CTR8w=="],
|
||||
|
||||
"@esbuild/linux-loong64": ["@esbuild/linux-loong64@0.27.2", "", { "os": "linux", "cpu": "none" }, "sha512-lugyF1atnAT463aO6KPshVCJK5NgRnU4yb3FUumyVz+cGvZbontBgzeGFO1nF+dPueHD367a2ZXe1NtUkAjOtg=="],
|
||||
|
||||
"@esbuild/linux-mips64el": ["@esbuild/linux-mips64el@0.27.2", "", { "os": "linux", "cpu": "none" }, "sha512-nlP2I6ArEBewvJ2gjrrkESEZkB5mIoaTswuqNFRv/WYd+ATtUpe9Y09RnJvgvdag7he0OWgEZWhviS1OTOKixw=="],
|
||||
|
||||
"@esbuild/linux-ppc64": ["@esbuild/linux-ppc64@0.27.2", "", { "os": "linux", "cpu": "ppc64" }, "sha512-C92gnpey7tUQONqg1n6dKVbx3vphKtTHJaNG2Ok9lGwbZil6DrfyecMsp9CrmXGQJmZ7iiVXvvZH6Ml5hL6XdQ=="],
|
||||
|
||||
"@esbuild/linux-riscv64": ["@esbuild/linux-riscv64@0.27.2", "", { "os": "linux", "cpu": "none" }, "sha512-B5BOmojNtUyN8AXlK0QJyvjEZkWwy/FKvakkTDCziX95AowLZKR6aCDhG7LeF7uMCXEJqwa8Bejz5LTPYm8AvA=="],
|
||||
|
||||
"@esbuild/linux-s390x": ["@esbuild/linux-s390x@0.27.2", "", { "os": "linux", "cpu": "s390x" }, "sha512-p4bm9+wsPwup5Z8f4EpfN63qNagQ47Ua2znaqGH6bqLlmJ4bx97Y9JdqxgGZ6Y8xVTixUnEkoKSHcpRlDnNr5w=="],
|
||||
|
||||
"@esbuild/linux-x64": ["@esbuild/linux-x64@0.27.2", "", { "os": "linux", "cpu": "x64" }, "sha512-uwp2Tip5aPmH+NRUwTcfLb+W32WXjpFejTIOWZFw/v7/KnpCDKG66u4DLcurQpiYTiYwQ9B7KOeMJvLCu/OvbA=="],
|
||||
|
||||
"@esbuild/netbsd-arm64": ["@esbuild/netbsd-arm64@0.27.2", "", { "os": "none", "cpu": "arm64" }, "sha512-Kj6DiBlwXrPsCRDeRvGAUb/LNrBASrfqAIok+xB0LxK8CHqxZ037viF13ugfsIpePH93mX7xfJp97cyDuTZ3cw=="],
|
||||
|
||||
"@esbuild/netbsd-x64": ["@esbuild/netbsd-x64@0.27.2", "", { "os": "none", "cpu": "x64" }, "sha512-HwGDZ0VLVBY3Y+Nw0JexZy9o/nUAWq9MlV7cahpaXKW6TOzfVno3y3/M8Ga8u8Yr7GldLOov27xiCnqRZf0tCA=="],
|
||||
|
||||
"@esbuild/openbsd-arm64": ["@esbuild/openbsd-arm64@0.27.2", "", { "os": "openbsd", "cpu": "arm64" }, "sha512-DNIHH2BPQ5551A7oSHD0CKbwIA/Ox7+78/AWkbS5QoRzaqlev2uFayfSxq68EkonB+IKjiuxBFoV8ESJy8bOHA=="],
|
||||
|
||||
"@esbuild/openbsd-x64": ["@esbuild/openbsd-x64@0.27.2", "", { "os": "openbsd", "cpu": "x64" }, "sha512-/it7w9Nb7+0KFIzjalNJVR5bOzA9Vay+yIPLVHfIQYG/j+j9VTH84aNB8ExGKPU4AzfaEvN9/V4HV+F+vo8OEg=="],
|
||||
|
||||
"@esbuild/openharmony-arm64": ["@esbuild/openharmony-arm64@0.27.2", "", { "os": "none", "cpu": "arm64" }, "sha512-LRBbCmiU51IXfeXk59csuX/aSaToeG7w48nMwA6049Y4J4+VbWALAuXcs+qcD04rHDuSCSRKdmY63sruDS5qag=="],
|
||||
|
||||
"@esbuild/sunos-x64": ["@esbuild/sunos-x64@0.27.2", "", { "os": "sunos", "cpu": "x64" }, "sha512-kMtx1yqJHTmqaqHPAzKCAkDaKsffmXkPHThSfRwZGyuqyIeBvf08KSsYXl+abf5HDAPMJIPnbBfXvP2ZC2TfHg=="],
|
||||
|
||||
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|
||||
"vite": ["vite@7.3.1", "", { "dependencies": { "esbuild": "^0.27.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-w+N7Hifpc3gRjZ63vYBXA56dvvRlNWRczTdmCBBa+CotUzAPf5b7YMdMR/8CQoeYE5LX3W4wj6RYTgonm1b9DA=="],
|
||||
|
||||
"which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
|
||||
|
||||
"word-wrap": ["word-wrap@1.2.5", "", {}, "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA=="],
|
||||
|
||||
"yallist": ["yallist@3.1.1", "", {}, "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="],
|
||||
|
||||
"yocto-queue": ["yocto-queue@0.1.0", "", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
|
||||
|
||||
"zod": ["zod@4.3.5", "", {}, "sha512-k7Nwx6vuWx1IJ9Bjuf4Zt1PEllcwe7cls3VNzm4CQ1/hgtFUK2bRNG3rvnpPUhFjmqJKAKtjV576KnUkHocg/g=="],
|
||||
|
||||
"zod-validation-error": ["zod-validation-error@4.0.2", "", { "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" } }, "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ=="],
|
||||
|
||||
"@eslint-community/eslint-utils/eslint-visitor-keys": ["eslint-visitor-keys@3.4.3", "", {}, "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag=="],
|
||||
|
||||
"@eslint/eslintrc/globals": ["globals@14.0.0", "", {}, "sha512-oahGvuMGQlPw/ivIYBjVSrWAfWLBeku5tpPE2fOPLi+WHffIWbuh2tCjhyQhTBPMf5E9jDEH4FOmTYgYwbKwtQ=="],
|
||||
|
||||
"@typescript-eslint/eslint-plugin/ignore": ["ignore@7.0.5", "", {}, "sha512-Hs59xBNfUIunMFgWAbGX5cq6893IbWg4KnrjbYwX3tx0ztorVgTDA6B2sxf8ejHJ4wz8BqGUMYlnzNBer5NvGg=="],
|
||||
|
||||
"@typescript-eslint/typescript-estree/minimatch": ["minimatch@9.0.5", "", { "dependencies": { "brace-expansion": "^2.0.1" } }, "sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow=="],
|
||||
|
||||
"@typescript-eslint/typescript-estree/semver": ["semver@7.7.3", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q=="],
|
||||
|
||||
"@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.2", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ=="],
|
||||
}
|
||||
}
|
||||
23
eslint.config.js
Normal file
23
eslint.config.js
Normal file
@@ -0,0 +1,23 @@
|
||||
import js from '@eslint/js'
|
||||
import globals from 'globals'
|
||||
import reactHooks from 'eslint-plugin-react-hooks'
|
||||
import reactRefresh from 'eslint-plugin-react-refresh'
|
||||
import tseslint from 'typescript-eslint'
|
||||
import { defineConfig, globalIgnores } from 'eslint/config'
|
||||
|
||||
export default defineConfig([
|
||||
globalIgnores(['dist']),
|
||||
{
|
||||
files: ['**/*.{ts,tsx}'],
|
||||
extends: [
|
||||
js.configs.recommended,
|
||||
tseslint.configs.recommended,
|
||||
reactHooks.configs.flat.recommended,
|
||||
reactRefresh.configs.vite,
|
||||
],
|
||||
languageOptions: {
|
||||
ecmaVersion: 2020,
|
||||
globals: globals.browser,
|
||||
},
|
||||
},
|
||||
])
|
||||
13
index.html
Normal file
13
index.html
Normal file
@@ -0,0 +1,13 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>evolution</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
<script type="module" src="/src/main.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
30
package.json
Normal file
30
package.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"name": "evolution",
|
||||
"private": true,
|
||||
"version": "0.0.0",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "vite",
|
||||
"build": "tsc -b && vite build",
|
||||
"lint": "eslint .",
|
||||
"preview": "vite preview"
|
||||
},
|
||||
"dependencies": {
|
||||
"react": "^19.2.0",
|
||||
"react-dom": "^19.2.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@eslint/js": "^9.39.1",
|
||||
"@types/node": "^24.10.1",
|
||||
"@types/react": "^19.2.5",
|
||||
"@types/react-dom": "^19.2.3",
|
||||
"@vitejs/plugin-react": "^5.1.1",
|
||||
"eslint": "^9.39.1",
|
||||
"eslint-plugin-react-hooks": "^7.0.1",
|
||||
"eslint-plugin-react-refresh": "^0.4.24",
|
||||
"globals": "^16.5.0",
|
||||
"typescript": "~5.9.3",
|
||||
"typescript-eslint": "^8.46.4",
|
||||
"vite": "^7.2.4"
|
||||
}
|
||||
}
|
||||
1
public/vite.svg
Normal file
1
public/vite.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="31.88" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 257"><defs><linearGradient id="IconifyId1813088fe1fbc01fb466" x1="-.828%" x2="57.636%" y1="7.652%" y2="78.411%"><stop offset="0%" stop-color="#41D1FF"></stop><stop offset="100%" stop-color="#BD34FE"></stop></linearGradient><linearGradient id="IconifyId1813088fe1fbc01fb467" x1="43.376%" x2="50.316%" y1="2.242%" y2="89.03%"><stop offset="0%" stop-color="#FFEA83"></stop><stop offset="8.333%" stop-color="#FFDD35"></stop><stop offset="100%" stop-color="#FFA800"></stop></linearGradient></defs><path fill="url(#IconifyId1813088fe1fbc01fb466)" d="M255.153 37.938L134.897 252.976c-2.483 4.44-8.862 4.466-11.382.048L.875 37.958c-2.746-4.814 1.371-10.646 6.827-9.67l120.385 21.517a6.537 6.537 0 0 0 2.322-.004l117.867-21.483c5.438-.991 9.574 4.796 6.877 9.62Z"></path><path fill="url(#IconifyId1813088fe1fbc01fb467)" d="M185.432.063L96.44 17.501a3.268 3.268 0 0 0-2.634 3.014l-5.474 92.456a3.268 3.268 0 0 0 3.997 3.378l24.777-5.718c2.318-.535 4.413 1.507 3.936 3.838l-7.361 36.047c-.495 2.426 1.782 4.5 4.151 3.78l15.304-4.649c2.372-.72 4.652 1.36 4.15 3.788l-11.698 56.621c-.732 3.542 3.979 5.473 5.943 2.437l1.313-2.028l72.516-144.72c1.215-2.423-.88-5.186-3.54-4.672l-25.505 4.922c-2.396.462-4.435-1.77-3.759-4.114l16.646-57.705c.677-2.35-1.37-4.583-3.769-4.113Z"></path></svg>
|
||||
|
After Width: | Height: | Size: 1.5 KiB |
11
src/App.css
Normal file
11
src/App.css
Normal file
@@ -0,0 +1,11 @@
|
||||
.app-layout {
|
||||
display: flex;
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.app-main {
|
||||
flex: 1;
|
||||
overflow: hidden;
|
||||
}
|
||||
29
src/App.tsx
Normal file
29
src/App.tsx
Normal file
@@ -0,0 +1,29 @@
|
||||
import { useState } from 'react';
|
||||
import Sidebar, { type AppId } from './components/Sidebar';
|
||||
import ImageApprox from './apps/ImageApprox/ImageApprox';
|
||||
import SnakeAI from './apps/SnakeAI/SnakeAI';
|
||||
import './App.css';
|
||||
|
||||
function App() {
|
||||
const [currentApp, setCurrentApp] = useState<AppId>('image-approx');
|
||||
|
||||
const renderApp = () => {
|
||||
switch (currentApp) {
|
||||
case 'image-approx':
|
||||
return <ImageApprox />;
|
||||
case 'snake-ai':
|
||||
return <SnakeAI />;
|
||||
default:
|
||||
return <div>App not found</div>;
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="app-layout">
|
||||
<Sidebar currentApp={currentApp} onAppChange={setCurrentApp} />
|
||||
<main className="app-main">{renderApp()}</main>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default App;
|
||||
161
src/apps/ImageApprox/Controls.css
Normal file
161
src/apps/ImageApprox/Controls.css
Normal file
@@ -0,0 +1,161 @@
|
||||
.controls-panel {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1.25rem;
|
||||
}
|
||||
|
||||
.control-section {
|
||||
background: var(--bg-card);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 16px;
|
||||
padding: 1.5rem;
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
.section-title {
|
||||
margin: 0 0 1rem;
|
||||
font-size: 1rem;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
.file-input {
|
||||
width: 100%;
|
||||
padding: 0.75rem;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 8px;
|
||||
color: var(--text-secondary);
|
||||
cursor: pointer;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.file-input:hover {
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
border-color: var(--primary-gradient-start);
|
||||
}
|
||||
|
||||
.button-group {
|
||||
display: flex;
|
||||
gap: 0.75rem;
|
||||
}
|
||||
|
||||
.control-button {
|
||||
flex: 1;
|
||||
padding: 0.875rem 1.5rem;
|
||||
font-size: 1rem;
|
||||
font-weight: 600;
|
||||
border: none;
|
||||
border-radius: 8px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s ease;
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
||||
.control-button.start {
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--primary-dark) 100%);
|
||||
color: white;
|
||||
}
|
||||
|
||||
.control-button.start:hover:not(:disabled) {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 6px 20px rgba(99, 102, 241, 0.4);
|
||||
}
|
||||
|
||||
.control-button.pause {
|
||||
background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%);
|
||||
color: white;
|
||||
}
|
||||
|
||||
.control-button.pause:hover:not(:disabled) {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 4px 12px rgba(240, 147, 251, 0.4);
|
||||
}
|
||||
|
||||
.control-button.reset {
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
color: var(--text-primary);
|
||||
border: 1px solid var(--border-color);
|
||||
}
|
||||
|
||||
.control-button.reset:hover:not(:disabled) {
|
||||
background: rgba(255, 255, 255, 0.15);
|
||||
}
|
||||
|
||||
.control-button:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
.slider-control {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 0.5rem;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.slider-control:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.slider-label {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
font-size: 0.875rem;
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.slider-value {
|
||||
font-weight: 600;
|
||||
color: var(--primary-gradient-start);
|
||||
font-family: 'Courier New', monospace;
|
||||
}
|
||||
|
||||
.slider {
|
||||
width: 100%;
|
||||
height: 6px;
|
||||
border-radius: 3px;
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
outline: none;
|
||||
-webkit-appearance: none;
|
||||
appearance: none;
|
||||
}
|
||||
|
||||
.slider::-webkit-slider-thumb {
|
||||
-webkit-appearance: none;
|
||||
appearance: none;
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
border-radius: 50%;
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--accent) 100%);
|
||||
cursor: pointer;
|
||||
box-shadow: 0 2px 6px rgba(99, 102, 241, 0.5);
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.slider::-webkit-slider-thumb:hover {
|
||||
transform: scale(1.2);
|
||||
box-shadow: 0 3px 10px rgba(99, 102, 241, 0.7);
|
||||
}
|
||||
|
||||
.slider::-moz-range-thumb {
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
border-radius: 50%;
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--accent) 100%);
|
||||
cursor: pointer;
|
||||
border: none;
|
||||
box-shadow: 0 2px 6px rgba(99, 102, 241, 0.5);
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.slider::-moz-range-thumb:hover {
|
||||
transform: scale(1.2);
|
||||
box-shadow: 0 3px 10px rgba(99, 102, 241, 0.7);
|
||||
}
|
||||
|
||||
.slider:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
140
src/apps/ImageApprox/Controls.tsx
Normal file
140
src/apps/ImageApprox/Controls.tsx
Normal file
@@ -0,0 +1,140 @@
|
||||
import './Controls.css';
|
||||
|
||||
interface ControlsProps {
|
||||
isRunning: boolean;
|
||||
hasTarget: boolean;
|
||||
mutationStrength: number;
|
||||
childrenCount: number;
|
||||
triangleCount: number;
|
||||
sampleStep: number;
|
||||
generationsPerFrame: number;
|
||||
onToggleRunning: () => void;
|
||||
onReset: () => void;
|
||||
onMutationStrengthChange: (value: number) => void;
|
||||
onChildrenCountChange: (value: number) => void;
|
||||
onTriangleCountChange: (value: number) => void;
|
||||
onSampleStepChange: (value: number) => void;
|
||||
onGenerationsPerFrameChange: (value: number) => void;
|
||||
}
|
||||
|
||||
export default function Controls({
|
||||
isRunning,
|
||||
hasTarget,
|
||||
mutationStrength,
|
||||
childrenCount,
|
||||
triangleCount,
|
||||
sampleStep,
|
||||
generationsPerFrame,
|
||||
onToggleRunning,
|
||||
onReset,
|
||||
onMutationStrengthChange,
|
||||
onChildrenCountChange,
|
||||
onTriangleCountChange,
|
||||
onSampleStepChange,
|
||||
onGenerationsPerFrameChange,
|
||||
}: ControlsProps) {
|
||||
return (
|
||||
<div className="controls-panel">
|
||||
<div className="control-section">
|
||||
<h3 className="section-title">Evolution Controls</h3>
|
||||
<div className="button-group">
|
||||
<button
|
||||
onClick={onToggleRunning}
|
||||
disabled={!hasTarget}
|
||||
className={`control-button ${isRunning ? 'pause' : 'start'}`}
|
||||
>
|
||||
{isRunning ? '⏸ Pause' : '▶ Start'}
|
||||
</button>
|
||||
<button onClick={onReset} disabled={!hasTarget} className="control-button reset">
|
||||
🔄 Reset
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="control-section">
|
||||
<h3 className="section-title">Parameters</h3>
|
||||
|
||||
<div className="slider-control">
|
||||
<label className="slider-label">
|
||||
<span>Mutation Strength:</span>
|
||||
<span className="slider-value">{mutationStrength.toFixed(2)}</span>
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
min="0.01"
|
||||
max="1"
|
||||
step="0.01"
|
||||
value={mutationStrength}
|
||||
onChange={(e) => onMutationStrengthChange(parseFloat(e.target.value))}
|
||||
className="slider"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="slider-control">
|
||||
<label className="slider-label">
|
||||
<span>Children per Gen (λ):</span>
|
||||
<span className="slider-value">{childrenCount}</span>
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
min="1"
|
||||
max="30"
|
||||
step="1"
|
||||
value={childrenCount}
|
||||
onChange={(e) => onChildrenCountChange(parseInt(e.target.value))}
|
||||
className="slider"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="slider-control">
|
||||
<label className="slider-label">
|
||||
<span>Triangle Count:</span>
|
||||
<span className="slider-value">{triangleCount}</span>
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
min="50"
|
||||
max="200"
|
||||
step="10"
|
||||
value={triangleCount}
|
||||
onChange={(e) => onTriangleCountChange(parseInt(e.target.value))}
|
||||
className="slider"
|
||||
disabled={isRunning}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="slider-control">
|
||||
<label className="slider-label">
|
||||
<span>Sample Step:</span>
|
||||
<span className="slider-value">{sampleStep}px</span>
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
min="1"
|
||||
max="8"
|
||||
step="1"
|
||||
value={sampleStep}
|
||||
onChange={(e) => onSampleStepChange(parseInt(e.target.value))}
|
||||
className="slider"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className="slider-control">
|
||||
<label className="slider-label">
|
||||
<span>Speed (Gen/Frame):</span>
|
||||
<span className="slider-value">{generationsPerFrame}</span>
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
min="1"
|
||||
max="100"
|
||||
step="1"
|
||||
value={generationsPerFrame}
|
||||
onChange={(e) => onGenerationsPerFrameChange(parseInt(e.target.value))}
|
||||
className="slider"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
23
src/apps/ImageApprox/FitnessChart.css
Normal file
23
src/apps/ImageApprox/FitnessChart.css
Normal file
@@ -0,0 +1,23 @@
|
||||
.fitness-chart-container {
|
||||
background: rgba(255, 255, 255, 0.02);
|
||||
border: 1px solid rgba(255, 255, 255, 0.08);
|
||||
border-radius: 16px;
|
||||
padding: 1.5rem;
|
||||
box-shadow: 0 4px 16px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
.chart-title {
|
||||
margin: 0 0 1rem;
|
||||
font-size: 0.875rem;
|
||||
font-weight: 600;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.05em;
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.fitness-chart {
|
||||
width: 100%;
|
||||
height: auto;
|
||||
border-radius: 8px;
|
||||
background: rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
152
src/apps/ImageApprox/FitnessChart.tsx
Normal file
152
src/apps/ImageApprox/FitnessChart.tsx
Normal file
@@ -0,0 +1,152 @@
|
||||
import { useEffect, useRef } from 'react';
|
||||
import './FitnessChart.css';
|
||||
|
||||
interface FitnessChartProps {
|
||||
fitnessHistory: number[];
|
||||
maxPoints?: number;
|
||||
}
|
||||
|
||||
export default function FitnessChart({ fitnessHistory, maxPoints = 500 }: FitnessChartProps) {
|
||||
const canvasRef = useRef<HTMLCanvasElement>(null);
|
||||
|
||||
useEffect(() => {
|
||||
const canvas = canvasRef.current;
|
||||
if (!canvas) return;
|
||||
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
|
||||
const width = canvas.width;
|
||||
const height = canvas.height;
|
||||
|
||||
// Clear canvas
|
||||
ctx.fillStyle = '#0f0f1e';
|
||||
ctx.fillRect(0, 0, width, height);
|
||||
|
||||
if (fitnessHistory.length < 2) return;
|
||||
|
||||
const maxMSE = 255 * 255 * 3;
|
||||
|
||||
// Convert fitness (error) to similarity percentage
|
||||
const similarityHistory = fitnessHistory.map(fitness =>
|
||||
Math.max(0, Math.min(100, ((maxMSE - fitness) / maxMSE) * 100))
|
||||
);
|
||||
|
||||
// ALL-TIME scale: fixed 0-100%
|
||||
const allTimeMin = 0;
|
||||
const allTimeMax = 100;
|
||||
const allTimeRange = 100;
|
||||
|
||||
// RECENT scale: auto-scaled to recent data
|
||||
const recentHistory = similarityHistory.slice(-maxPoints);
|
||||
const recentMin = Math.min(...recentHistory);
|
||||
const recentMax = Math.max(...recentHistory);
|
||||
const recentRange = recentMax - recentMin || 1;
|
||||
|
||||
// Draw grid lines and left axis (0-100%)
|
||||
ctx.strokeStyle = 'rgba(255, 255, 255, 0.05)';
|
||||
ctx.lineWidth = 1;
|
||||
ctx.fillStyle = 'rgba(255, 255, 255, 0.4)';
|
||||
ctx.font = '10px Inter, sans-serif';
|
||||
ctx.textAlign = 'left';
|
||||
|
||||
for (let i = 0; i <= 5; i++) {
|
||||
const y = (height / 5) * i;
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(0, y);
|
||||
ctx.lineTo(width, y);
|
||||
ctx.stroke();
|
||||
|
||||
// Left axis labels (0-100%)
|
||||
const value = allTimeMax - (allTimeRange / 5) * i;
|
||||
ctx.fillText(value.toFixed(0) + '%', 5, y - 2);
|
||||
}
|
||||
|
||||
// LAYER 1: All-time history (0-100% scale, faded)
|
||||
const downsampleRate = Math.max(1, Math.floor(similarityHistory.length / 100));
|
||||
const downsampledHistory = similarityHistory.filter((_, i) => i % downsampleRate === 0);
|
||||
|
||||
if (downsampledHistory.length >= 2) {
|
||||
ctx.strokeStyle = 'rgba(102, 126, 234, 0.2)';
|
||||
ctx.lineWidth = 1.5;
|
||||
ctx.beginPath();
|
||||
|
||||
downsampledHistory.forEach((similarity, index) => {
|
||||
const x = (index / (downsampledHistory.length - 1)) * width;
|
||||
const normalizedSimilarity = (similarity - allTimeMin) / allTimeRange;
|
||||
const y = height - normalizedSimilarity * height;
|
||||
|
||||
if (index === 0) {
|
||||
ctx.moveTo(x, y);
|
||||
} else {
|
||||
ctx.lineTo(x, y);
|
||||
}
|
||||
});
|
||||
|
||||
ctx.stroke();
|
||||
}
|
||||
|
||||
// LAYER 2: Recent progress (auto-scaled, bright)
|
||||
if (recentHistory.length >= 2) {
|
||||
ctx.strokeStyle = '#667eea';
|
||||
ctx.lineWidth = 2.5;
|
||||
ctx.beginPath();
|
||||
|
||||
recentHistory.forEach((similarity, index) => {
|
||||
const x = (index / (recentHistory.length - 1)) * width;
|
||||
const normalizedSimilarity = (similarity - recentMin) / recentRange;
|
||||
const y = height - normalizedSimilarity * height;
|
||||
|
||||
if (index === 0) {
|
||||
ctx.moveTo(x, y);
|
||||
} else {
|
||||
ctx.lineTo(x, y);
|
||||
}
|
||||
});
|
||||
|
||||
ctx.stroke();
|
||||
|
||||
// Gradient fill under recent line
|
||||
const gradient = ctx.createLinearGradient(0, 0, 0, height);
|
||||
gradient.addColorStop(0, 'rgba(102, 126, 234, 0.25)');
|
||||
gradient.addColorStop(1, 'rgba(102, 126, 234, 0)');
|
||||
|
||||
ctx.fillStyle = gradient;
|
||||
ctx.beginPath();
|
||||
|
||||
recentHistory.forEach((similarity, index) => {
|
||||
const x = (index / (recentHistory.length - 1)) * width;
|
||||
const normalizedSimilarity = (similarity - recentMin) / recentRange;
|
||||
const y = height - normalizedSimilarity * height;
|
||||
|
||||
if (index === 0) {
|
||||
ctx.moveTo(x, y);
|
||||
} else {
|
||||
ctx.lineTo(x, y);
|
||||
}
|
||||
});
|
||||
|
||||
ctx.lineTo(width, height);
|
||||
ctx.lineTo(0, height);
|
||||
ctx.closePath();
|
||||
ctx.fill();
|
||||
}
|
||||
|
||||
// Right axis labels (recent auto-scale)
|
||||
ctx.fillStyle = 'rgba(102, 126, 234, 0.7)';
|
||||
ctx.textAlign = 'right';
|
||||
|
||||
for (let i = 0; i <= 5; i++) {
|
||||
const y = (height / 5) * i;
|
||||
const value = recentMax - (recentRange / 5) * i;
|
||||
ctx.fillText(value.toFixed(2) + '%', width - 5, y - 2);
|
||||
}
|
||||
}, [fitnessHistory, maxPoints]);
|
||||
|
||||
return (
|
||||
<div className="fitness-chart-container">
|
||||
<h3 className="chart-title">Similarity Progress</h3>
|
||||
<canvas ref={canvasRef} width={600} height={200} className="fitness-chart" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
35
src/apps/ImageApprox/ImageApprox.css
Normal file
35
src/apps/ImageApprox/ImageApprox.css
Normal file
@@ -0,0 +1,35 @@
|
||||
.image-approx-layout {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 2rem;
|
||||
max-width: 1600px;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.left-panel {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1.5rem;
|
||||
}
|
||||
|
||||
.right-panel {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1.5rem;
|
||||
}
|
||||
|
||||
.canvases-row {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 1.5rem;
|
||||
}
|
||||
|
||||
@media (max-width: 1200px) {
|
||||
.image-approx-layout {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.canvases-row {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
}
|
||||
283
src/apps/ImageApprox/ImageApprox.tsx
Normal file
283
src/apps/ImageApprox/ImageApprox.tsx
Normal file
@@ -0,0 +1,283 @@
|
||||
import { useRef, useState, useEffect, useCallback } from 'react';
|
||||
import AppContainer from '../../components/AppContainer';
|
||||
import ImageCanvas from './ImageCanvas';
|
||||
import Controls from './Controls';
|
||||
import Stats from './Stats';
|
||||
import FitnessChart from './FitnessChart';
|
||||
import Tips from './Tips';
|
||||
import { createRandomGenome, type Genome } from '../../lib/imageApprox/genome';
|
||||
import { renderGenome } from '../../lib/imageApprox/renderer';
|
||||
import { calculateFitness } from '../../lib/imageApprox/fitness';
|
||||
import { evolve, type EvolutionConfig } from '../../lib/imageApprox/evolution';
|
||||
import './ImageApprox.css';
|
||||
|
||||
const CANVAS_SIZE = 256; // Increased from 128 for better visibility
|
||||
|
||||
export default function ImageApprox() {
|
||||
const targetCanvasRef = useRef<HTMLCanvasElement>(null);
|
||||
const evolvedCanvasRef = useRef<HTMLCanvasElement>(null);
|
||||
const offscreenCanvasRef = useRef<HTMLCanvasElement | null>(null);
|
||||
const animationFrameRef = useRef<number | null>(null);
|
||||
|
||||
const [targetImageData, setTargetImageData] = useState<ImageData | null>(null);
|
||||
const [bestGenome, setBestGenome] = useState<Genome | null>(null);
|
||||
const [bestFitness, setBestFitness] = useState<number>(Infinity);
|
||||
const [fitnessHistory, setFitnessHistory] = useState<number[]>([]);
|
||||
const [generation, setGeneration] = useState<number>(0);
|
||||
const [isRunning, setIsRunning] = useState<boolean>(false);
|
||||
|
||||
// Configuration
|
||||
const [mutationStrength, setMutationStrength] = useState<number>(0.2);
|
||||
const [childrenCount, setChildrenCount] = useState<number>(15);
|
||||
const [triangleCount, setTriangleCount] = useState<number>(100);
|
||||
const [sampleStep, setSampleStep] = useState<number>(2);
|
||||
const [generationsPerFrame, setGenerationsPerFrame] = useState<number>(20);
|
||||
|
||||
// Initialize offscreen canvas
|
||||
useEffect(() => {
|
||||
offscreenCanvasRef.current = document.createElement('canvas');
|
||||
offscreenCanvasRef.current.width = CANVAS_SIZE;
|
||||
offscreenCanvasRef.current.height = CANVAS_SIZE;
|
||||
|
||||
// Load default image
|
||||
loadDefaultImage();
|
||||
}, []);
|
||||
|
||||
const loadDefaultImage = () => {
|
||||
const img = new Image();
|
||||
img.onload = () => {
|
||||
const canvas = targetCanvasRef.current;
|
||||
if (!canvas) return;
|
||||
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
|
||||
// Draw image to target canvas
|
||||
ctx.drawImage(img, 0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const imageData = ctx.getImageData(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
setTargetImageData(imageData);
|
||||
|
||||
// Initialize genome
|
||||
const genome = createRandomGenome(CANVAS_SIZE, CANVAS_SIZE, triangleCount);
|
||||
setBestGenome(genome);
|
||||
|
||||
// Calculate initial fitness
|
||||
const offscreenCanvas = offscreenCanvasRef.current;
|
||||
if (offscreenCanvas) {
|
||||
const offscreenCtx = offscreenCanvas.getContext('2d');
|
||||
if (offscreenCtx) {
|
||||
renderGenome(offscreenCtx, genome, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const candidateData = offscreenCtx.getImageData(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const fitness = calculateFitness(imageData, candidateData, sampleStep);
|
||||
setBestFitness(fitness);
|
||||
setFitnessHistory([fitness]);
|
||||
}
|
||||
}
|
||||
|
||||
setGeneration(0);
|
||||
setIsRunning(false);
|
||||
};
|
||||
|
||||
// Create a simple default image (yellow circle on blue background)
|
||||
const defaultCanvas = document.createElement('canvas');
|
||||
defaultCanvas.width = CANVAS_SIZE;
|
||||
defaultCanvas.height = CANVAS_SIZE;
|
||||
const defaultCtx = defaultCanvas.getContext('2d');
|
||||
if (defaultCtx) {
|
||||
// Blue background
|
||||
defaultCtx.fillStyle = '#4A90E2';
|
||||
defaultCtx.fillRect(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
|
||||
// Yellow circle
|
||||
defaultCtx.fillStyle = '#FFD700';
|
||||
defaultCtx.beginPath();
|
||||
defaultCtx.arc(CANVAS_SIZE / 2, CANVAS_SIZE / 2, 40, 0, Math.PI * 2);
|
||||
defaultCtx.fill();
|
||||
}
|
||||
|
||||
img.src = defaultCanvas.toDataURL();
|
||||
};
|
||||
|
||||
const handleImageUpload = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
const file = e.target.files?.[0];
|
||||
if (!file) return;
|
||||
|
||||
const img = new Image();
|
||||
img.onload = () => {
|
||||
const canvas = targetCanvasRef.current;
|
||||
if (!canvas) return;
|
||||
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
|
||||
// Draw image to target canvas
|
||||
ctx.drawImage(img, 0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const imageData = ctx.getImageData(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
setTargetImageData(imageData);
|
||||
|
||||
// Initialize genome
|
||||
const genome = createRandomGenome(CANVAS_SIZE, CANVAS_SIZE, triangleCount);
|
||||
setBestGenome(genome);
|
||||
|
||||
// Calculate initial fitness
|
||||
const offscreenCanvas = offscreenCanvasRef.current;
|
||||
if (offscreenCanvas) {
|
||||
const offscreenCtx = offscreenCanvas.getContext('2d');
|
||||
if (offscreenCtx) {
|
||||
renderGenome(offscreenCtx, genome, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const candidateData = offscreenCtx.getImageData(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const fitness = calculateFitness(imageData, candidateData, sampleStep);
|
||||
setBestFitness(fitness);
|
||||
setFitnessHistory([fitness]);
|
||||
}
|
||||
}
|
||||
|
||||
setGeneration(0);
|
||||
setIsRunning(false);
|
||||
};
|
||||
|
||||
img.src = URL.createObjectURL(file);
|
||||
}, [triangleCount, sampleStep]);
|
||||
|
||||
const handleReset = useCallback(() => {
|
||||
if (!targetImageData) return;
|
||||
|
||||
const genome = createRandomGenome(CANVAS_SIZE, CANVAS_SIZE, triangleCount);
|
||||
setBestGenome(genome);
|
||||
|
||||
// Calculate initial fitness
|
||||
const offscreenCanvas = offscreenCanvasRef.current;
|
||||
if (offscreenCanvas) {
|
||||
const offscreenCtx = offscreenCanvas.getContext('2d');
|
||||
if (offscreenCtx) {
|
||||
renderGenome(offscreenCtx, genome, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const candidateData = offscreenCtx.getImageData(0, 0, CANVAS_SIZE, CANVAS_SIZE);
|
||||
const fitness = calculateFitness(targetImageData, candidateData, sampleStep);
|
||||
setBestFitness(fitness);
|
||||
setFitnessHistory([fitness]);
|
||||
}
|
||||
}
|
||||
|
||||
setGeneration(0);
|
||||
setIsRunning(false);
|
||||
}, [targetImageData, triangleCount, sampleStep]);
|
||||
|
||||
// Evolution loop - batched for performance
|
||||
useEffect(() => {
|
||||
if (!isRunning || !targetImageData || !bestGenome || !offscreenCanvasRef.current) {
|
||||
return;
|
||||
}
|
||||
|
||||
const DISPLAY_UPDATE_INTERVAL = 5; // Update display every 5 frames
|
||||
let frameCount = 0;
|
||||
|
||||
const runEvolution = () => {
|
||||
let currentGenome = bestGenome;
|
||||
let currentFitness = bestFitness;
|
||||
|
||||
// Run multiple generations per frame (user configurable)
|
||||
for (let i = 0; i < generationsPerFrame; i++) {
|
||||
const config: EvolutionConfig = {
|
||||
width: CANVAS_SIZE,
|
||||
height: CANVAS_SIZE,
|
||||
mutationStrength,
|
||||
childrenCount,
|
||||
sampleStep,
|
||||
};
|
||||
|
||||
const result = evolve(
|
||||
currentGenome,
|
||||
currentFitness,
|
||||
targetImageData,
|
||||
config,
|
||||
offscreenCanvasRef.current!
|
||||
);
|
||||
|
||||
currentGenome = result.genome;
|
||||
currentFitness = result.fitness;
|
||||
|
||||
// Update state
|
||||
setBestGenome(result.genome);
|
||||
setBestFitness(result.fitness);
|
||||
// Only keep last 1000 fitness values to prevent memory bloat
|
||||
setFitnessHistory((prev) => {
|
||||
const newHistory = [...prev, result.fitness];
|
||||
return newHistory.length > 1000 ? newHistory.slice(-1000) : newHistory;
|
||||
});
|
||||
setGeneration((g) => g + 1);
|
||||
}
|
||||
|
||||
// Only update display canvas periodically, not every generation
|
||||
frameCount++;
|
||||
if (frameCount % DISPLAY_UPDATE_INTERVAL === 0) {
|
||||
const canvas = evolvedCanvasRef.current;
|
||||
if (canvas) {
|
||||
const ctx = canvas.getContext('2d', { willReadFrequently: false });
|
||||
if (ctx) {
|
||||
renderGenome(ctx, currentGenome, CANVAS_SIZE, CANVAS_SIZE);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(runEvolution);
|
||||
};
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(runEvolution);
|
||||
|
||||
return () => {
|
||||
if (animationFrameRef.current !== null) {
|
||||
cancelAnimationFrame(animationFrameRef.current);
|
||||
}
|
||||
};
|
||||
}, [isRunning, targetImageData, bestGenome, bestFitness, mutationStrength, childrenCount, sampleStep, generationsPerFrame]);
|
||||
|
||||
// Initial render of evolved canvas
|
||||
useEffect(() => {
|
||||
if (bestGenome && evolvedCanvasRef.current) {
|
||||
const ctx = evolvedCanvasRef.current.getContext('2d');
|
||||
if (ctx) {
|
||||
renderGenome(ctx, bestGenome, CANVAS_SIZE, CANVAS_SIZE);
|
||||
}
|
||||
}
|
||||
}, [bestGenome]);
|
||||
|
||||
return (
|
||||
<AppContainer title="Image Approximation">
|
||||
<div className="image-approx-layout">
|
||||
<div className="left-panel">
|
||||
<Controls
|
||||
isRunning={isRunning}
|
||||
hasTarget={targetImageData !== null}
|
||||
mutationStrength={mutationStrength}
|
||||
childrenCount={childrenCount}
|
||||
triangleCount={triangleCount}
|
||||
sampleStep={sampleStep}
|
||||
generationsPerFrame={generationsPerFrame}
|
||||
onToggleRunning={() => setIsRunning(!isRunning)}
|
||||
onReset={handleReset}
|
||||
onMutationStrengthChange={setMutationStrength}
|
||||
onChildrenCountChange={setChildrenCount}
|
||||
onTriangleCountChange={setTriangleCount}
|
||||
onSampleStepChange={setSampleStep}
|
||||
onGenerationsPerFrameChange={setGenerationsPerFrame}
|
||||
/>
|
||||
<Tips />
|
||||
</div>
|
||||
|
||||
<div className="right-panel">
|
||||
<Stats generation={generation} fitness={bestFitness} />
|
||||
<FitnessChart fitnessHistory={fitnessHistory} />
|
||||
<div className="canvases-row">
|
||||
<ImageCanvas
|
||||
label="Target Image"
|
||||
canvasRef={targetCanvasRef}
|
||||
showFileUpload={true}
|
||||
onImageUpload={handleImageUpload}
|
||||
/>
|
||||
<ImageCanvas label="Evolved Image" canvasRef={evolvedCanvasRef} />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</AppContainer>
|
||||
);
|
||||
}
|
||||
66
src/apps/ImageApprox/ImageCanvas.css
Normal file
66
src/apps/ImageApprox/ImageCanvas.css
Normal file
@@ -0,0 +1,66 @@
|
||||
.image-canvas-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 0.75rem;
|
||||
}
|
||||
|
||||
.canvas-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 0.5rem;
|
||||
}
|
||||
|
||||
.canvas-label {
|
||||
margin: 0;
|
||||
font-size: 0.875rem;
|
||||
font-weight: 600;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.05em;
|
||||
color: var(--text-secondary);
|
||||
flex: 1;
|
||||
}
|
||||
|
||||
.file-input-hidden {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.upload-icon-button {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
background: rgba(99, 102, 241, 0.15);
|
||||
border: 1px solid rgba(99, 102, 241, 0.3);
|
||||
border-radius: 8px;
|
||||
font-size: 1rem;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.upload-icon-button:hover {
|
||||
background: rgba(99, 102, 241, 0.25);
|
||||
border-color: var(--primary);
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
.image-canvas {
|
||||
display: block;
|
||||
border-radius: 12px;
|
||||
background: rgba(0, 0, 0, 0.3);
|
||||
border: 1px solid var(--border-color);
|
||||
image-rendering: pixelated;
|
||||
box-shadow: 0 4px 16px rgba(0, 0, 0, 0.2);
|
||||
width: 256px;
|
||||
height: 256px;
|
||||
}
|
||||
|
||||
.pixel-canvas {
|
||||
display: block;
|
||||
width: 256px;
|
||||
height: 256px;
|
||||
image-rendering: pixelated;
|
||||
image-rendering: -moz-crisp-edges;
|
||||
image-rendering: crisp-edges;
|
||||
border-radius: 4px;
|
||||
}
|
||||
33
src/apps/ImageApprox/ImageCanvas.tsx
Normal file
33
src/apps/ImageApprox/ImageCanvas.tsx
Normal file
@@ -0,0 +1,33 @@
|
||||
import './ImageCanvas.css';
|
||||
|
||||
interface ImageCanvasProps {
|
||||
label: string;
|
||||
canvasRef: React.RefObject<HTMLCanvasElement | null>;
|
||||
showFileUpload?: boolean;
|
||||
onImageUpload?: (e: React.ChangeEvent<HTMLInputElement>) => void;
|
||||
}
|
||||
|
||||
export default function ImageCanvas({ label, canvasRef, showFileUpload, onImageUpload }: ImageCanvasProps) {
|
||||
return (
|
||||
<div className="image-canvas-container">
|
||||
<div className="canvas-header">
|
||||
<h3 className="canvas-label">{label}</h3>
|
||||
{showFileUpload && (
|
||||
<>
|
||||
<input
|
||||
type="file"
|
||||
accept="image/*"
|
||||
onChange={onImageUpload}
|
||||
className="file-input-hidden"
|
||||
id="image-upload"
|
||||
/>
|
||||
<label htmlFor="image-upload" className="upload-icon-button" title="Choose Image">
|
||||
📁
|
||||
</label>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
<canvas ref={canvasRef} width={256} height={256} className="image-canvas" />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
49
src/apps/ImageApprox/Stats.css
Normal file
49
src/apps/ImageApprox/Stats.css
Normal file
@@ -0,0 +1,49 @@
|
||||
.stats-panel {
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--accent) 100%);
|
||||
border-radius: 16px;
|
||||
padding: 1.5rem 2rem;
|
||||
box-shadow: 0 8px 32px rgba(99, 102, 241, 0.3);
|
||||
}
|
||||
|
||||
.stats-title {
|
||||
margin: 0 0 1rem;
|
||||
font-size: 1.125rem;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
.stats-grid {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 2rem;
|
||||
}
|
||||
|
||||
.stat-item {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 0.5rem;
|
||||
}
|
||||
|
||||
.stat-item.highlight {
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
.stat-item:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
|
||||
.stat-label {
|
||||
font-size: 0.75rem;
|
||||
font-weight: 500;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.05em;
|
||||
color: rgba(255, 255, 255, 0.8);
|
||||
}
|
||||
|
||||
.stat-value {
|
||||
font-size: 2.25rem;
|
||||
font-weight: 700;
|
||||
line-height: 1;
|
||||
color: #fff;
|
||||
font-family: 'Inter', system-ui, sans-serif;
|
||||
}
|
||||
29
src/apps/ImageApprox/Stats.tsx
Normal file
29
src/apps/ImageApprox/Stats.tsx
Normal file
@@ -0,0 +1,29 @@
|
||||
import './Stats.css';
|
||||
|
||||
interface StatsProps {
|
||||
generation: number;
|
||||
fitness: number;
|
||||
}
|
||||
|
||||
export default function Stats({ generation, fitness }: StatsProps) {
|
||||
// Convert fitness (MSE) to similarity percentage
|
||||
// MSE is mean squared error per pixel, so max possible is 255^2 * 3 (RGB channels)
|
||||
// Lower fitness = better, so we invert it
|
||||
const maxMSE = 255 * 255 * 3; // Max error per pixel across RGB
|
||||
const similarity = Math.max(0, Math.min(100, ((maxMSE - fitness) / maxMSE) * 100));
|
||||
|
||||
return (
|
||||
<div className="stats-panel">
|
||||
<div className="stats-grid">
|
||||
<div className="stat-item">
|
||||
<span className="stat-label">Generation</span>
|
||||
<span className="stat-value">{generation.toLocaleString()}</span>
|
||||
</div>
|
||||
<div className="stat-item highlight">
|
||||
<span className="stat-label">Similarity</span>
|
||||
<span className="stat-value">{similarity.toFixed(1)}%</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
44
src/apps/ImageApprox/Tips.css
Normal file
44
src/apps/ImageApprox/Tips.css
Normal file
@@ -0,0 +1,44 @@
|
||||
.tips-panel {
|
||||
background: linear-gradient(135deg, rgba(99, 102, 241, 0.05) 0%, rgba(139, 92, 246, 0.05) 100%);
|
||||
border: 1px solid rgba(99, 102, 241, 0.2);
|
||||
border-radius: 16px;
|
||||
padding: 1.5rem;
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.05);
|
||||
}
|
||||
|
||||
.tips-title {
|
||||
margin: 0 0 0.75rem;
|
||||
font-size: 0.95rem;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
.tips-list {
|
||||
margin: 0;
|
||||
padding-left: 1.25rem;
|
||||
list-style: none;
|
||||
}
|
||||
|
||||
.tips-list li {
|
||||
position: relative;
|
||||
font-size: 0.8rem;
|
||||
color: var(--text-secondary);
|
||||
margin-bottom: 0.5rem;
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.tips-list li:before {
|
||||
content: '→';
|
||||
position: absolute;
|
||||
left: -1.25rem;
|
||||
color: var(--primary);
|
||||
}
|
||||
|
||||
.tips-list li:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.tips-list strong {
|
||||
color: var(--text-primary);
|
||||
font-weight: 600;
|
||||
}
|
||||
16
src/apps/ImageApprox/Tips.tsx
Normal file
16
src/apps/ImageApprox/Tips.tsx
Normal file
@@ -0,0 +1,16 @@
|
||||
import './Tips.css';
|
||||
|
||||
export default function Tips() {
|
||||
return (
|
||||
<div className="tips-panel">
|
||||
<h3 className="tips-title">💡 Tips</h3>
|
||||
<ul className="tips-list">
|
||||
<li>Start with simple images (circles, logos) for best results</li>
|
||||
<li>Increase <strong>Speed slider to 50-100</strong> for max performance!</li>
|
||||
<li>Increase <strong>Children per Gen</strong> to 20-30 for faster convergence</li>
|
||||
<li>Visible shapes typically appear after <strong>5k-10k</strong> generations</li>
|
||||
<li>Lower mutation strength once you see rough shapes forming</li>
|
||||
</ul>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
33
src/apps/SnakeAI/BestSnakeDisplay.tsx
Normal file
33
src/apps/SnakeAI/BestSnakeDisplay.tsx
Normal file
@@ -0,0 +1,33 @@
|
||||
import SnakeCanvas from './SnakeCanvas';
|
||||
import type { Network } from '../../lib/snakeAI/network';
|
||||
|
||||
interface BestSnakeDisplayProps {
|
||||
network: Network | null;
|
||||
gridSize: number;
|
||||
fitness: number;
|
||||
}
|
||||
|
||||
export default function BestSnakeDisplay({ network, gridSize, fitness }: BestSnakeDisplayProps) {
|
||||
if (!network) return null;
|
||||
|
||||
return (
|
||||
<div className="best-snake-panel">
|
||||
<div className="best-header">
|
||||
<h3>👑 All-Time Best</h3>
|
||||
<div className="best-stats">
|
||||
<span className="label">Fitness Record:</span>
|
||||
<span className="value">{Math.round(fitness)}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div className="best-canvas-wrapper">
|
||||
<SnakeCanvas
|
||||
network={network}
|
||||
gridSize={gridSize}
|
||||
size="large"
|
||||
showGrid={true}
|
||||
showStats={true}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
86
src/apps/SnakeAI/Controls.tsx
Normal file
86
src/apps/SnakeAI/Controls.tsx
Normal file
@@ -0,0 +1,86 @@
|
||||
interface ControlsProps {
|
||||
isRunning: boolean;
|
||||
onToggleRunning: () => void;
|
||||
onReset: () => void;
|
||||
speed: number;
|
||||
onSpeedChange: (speed: number) => void;
|
||||
mutationRate: number;
|
||||
onMutationRateChange: (rate: number) => void;
|
||||
populationSize: number;
|
||||
}
|
||||
|
||||
export default function Controls({
|
||||
isRunning,
|
||||
onToggleRunning,
|
||||
onReset,
|
||||
speed,
|
||||
onSpeedChange,
|
||||
mutationRate,
|
||||
onMutationRateChange,
|
||||
populationSize,
|
||||
}: ControlsProps) {
|
||||
return (
|
||||
<div className="controls-panel">
|
||||
<h3>Evolution Controls</h3>
|
||||
|
||||
<div className="control-group">
|
||||
<div className="button-group">
|
||||
<button
|
||||
className={`btn ${isRunning ? 'btn-pause' : 'btn-play'}`}
|
||||
onClick={onToggleRunning}
|
||||
>
|
||||
{isRunning ? '⏸ Pause' : '▶ Play'}
|
||||
</button>
|
||||
<button className="btn btn-reset" onClick={onReset}>
|
||||
🔄 Reset
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="control-group">
|
||||
<label htmlFor="speed-slider">
|
||||
Playback Speed: <strong>{speed}x</strong>
|
||||
</label>
|
||||
<input
|
||||
id="speed-slider"
|
||||
type="range"
|
||||
min="1"
|
||||
max="20"
|
||||
step="1"
|
||||
value={speed}
|
||||
onChange={(e) => onSpeedChange(Number(e.target.value))}
|
||||
/>
|
||||
<div className="slider-labels">
|
||||
<span>Slow</span>
|
||||
<span>Fast</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="control-group">
|
||||
<label htmlFor="mutation-slider">
|
||||
Mutation Rate: <strong>{(mutationRate * 100).toFixed(0)}%</strong>
|
||||
</label>
|
||||
<input
|
||||
id="mutation-slider"
|
||||
type="range"
|
||||
min="0.01"
|
||||
max="0.5"
|
||||
step="0.01"
|
||||
value={mutationRate}
|
||||
onChange={(e) => onMutationRateChange(Number(e.target.value))}
|
||||
/>
|
||||
<div className="slider-labels">
|
||||
<span>1%</span>
|
||||
<span>50%</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="control-info">
|
||||
<div className="info-row">
|
||||
<span className="info-label">Population Size:</span>
|
||||
<span className="info-value">{populationSize}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
476
src/apps/SnakeAI/SnakeAI.css
Normal file
476
src/apps/SnakeAI/SnakeAI.css
Normal file
@@ -0,0 +1,476 @@
|
||||
.snake-ai-layout {
|
||||
display: grid;
|
||||
grid-template-columns: 2fr 1fr;
|
||||
gap: 2rem;
|
||||
height: 100%;
|
||||
padding: 1rem;
|
||||
}
|
||||
|
||||
.left-panel,
|
||||
.right-panel {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1.5rem;
|
||||
}
|
||||
|
||||
/* Canvas */
|
||||
.snake-canvas-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1rem;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
/* Snake Grid */
|
||||
.snake-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(3, 1fr);
|
||||
gap: 1rem;
|
||||
width: 100%;
|
||||
max-width: 700px;
|
||||
}
|
||||
|
||||
.snake-grid-cell {
|
||||
position: relative;
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
border-radius: 8px;
|
||||
border: 2px solid #3a3a4e;
|
||||
padding: 0.5rem;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.snake-grid-cell:hover {
|
||||
transform: scale(1.05);
|
||||
border-color: #4ecdc4;
|
||||
box-shadow: 0 4px 12px rgba(78, 205, 196, 0.3);
|
||||
z-index: 10;
|
||||
}
|
||||
|
||||
.snake-grid-cell.best {
|
||||
border-color: #4ecdc4;
|
||||
background: linear-gradient(135deg, rgba(78, 205, 196, 0.15) 0%, #1a1a2e 100%);
|
||||
box-shadow: 0 0 20px rgba(78, 205, 196, 0.2);
|
||||
}
|
||||
|
||||
.snake-grid-label {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
margin-bottom: 0.5rem;
|
||||
font-size: 0.85rem;
|
||||
font-weight: 600;
|
||||
color: #4ecdc4;
|
||||
}
|
||||
|
||||
.snake-grid-cell.best .snake-grid-label {
|
||||
color: #4ecdc4;
|
||||
text-shadow: 0 0 10px rgba(78, 205, 196, 0.5);
|
||||
}
|
||||
|
||||
.fitness-badge {
|
||||
background: #3a3a4e;
|
||||
padding: 0.2rem 0.5rem;
|
||||
border-radius: 12px;
|
||||
font-size: 0.75rem;
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.snake-grid-cell.best .fitness-badge {
|
||||
background: linear-gradient(135deg, #4ecdc4 0%, #44a59d 100%);
|
||||
}
|
||||
|
||||
.snake-grid-cell canvas {
|
||||
width: 100%;
|
||||
height: auto;
|
||||
}
|
||||
|
||||
|
||||
.canvas-info {
|
||||
display: flex;
|
||||
gap: 2rem;
|
||||
padding: 0.75rem 1.5rem;
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
border-radius: 8px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
|
||||
.info-item {
|
||||
display: flex;
|
||||
gap: 0.5rem;
|
||||
align-items: baseline;
|
||||
}
|
||||
|
||||
.info-item .label {
|
||||
color: #888;
|
||||
font-size: 0.9rem;
|
||||
}
|
||||
|
||||
.info-item .value {
|
||||
color: #4ecdc4;
|
||||
font-weight: 600;
|
||||
font-size: 1.1rem;
|
||||
}
|
||||
|
||||
/* Controls */
|
||||
.controls-panel {
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
padding: 1.5rem;
|
||||
border-radius: 12px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
|
||||
.controls-panel h3 {
|
||||
margin: 0 0 1.5rem 0;
|
||||
color: #fff;
|
||||
font-size: 1.2rem;
|
||||
}
|
||||
|
||||
.control-group {
|
||||
margin-bottom: 1.5rem;
|
||||
}
|
||||
|
||||
.control-group:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.button-group {
|
||||
display: flex;
|
||||
gap: 0.75rem;
|
||||
}
|
||||
|
||||
.btn {
|
||||
flex: 1;
|
||||
padding: 0.75rem 1.5rem;
|
||||
border: none;
|
||||
border-radius: 8px;
|
||||
font-size: 1rem;
|
||||
font-weight: 600;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
font-family: inherit;
|
||||
}
|
||||
|
||||
.btn-play {
|
||||
background: linear-gradient(135deg, #4ecdc4 0%, #44a59d 100%);
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.btn-play:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 4px 12px rgba(78, 205, 196, 0.4);
|
||||
}
|
||||
|
||||
.btn-pause {
|
||||
background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.btn-pause:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 4px 12px rgba(243, 156, 18, 0.4);
|
||||
}
|
||||
|
||||
.btn-reset {
|
||||
background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.btn-reset:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 4px 12px rgba(231, 76, 60, 0.4);
|
||||
}
|
||||
|
||||
.control-group label {
|
||||
display: block;
|
||||
margin-bottom: 0.5rem;
|
||||
color: #ccc;
|
||||
font-size: 0.95rem;
|
||||
}
|
||||
|
||||
.control-group label strong {
|
||||
color: #4ecdc4;
|
||||
}
|
||||
|
||||
input[type='range'] {
|
||||
width: 100%;
|
||||
height: 6px;
|
||||
border-radius: 3px;
|
||||
background: #3a3a4e;
|
||||
outline: none;
|
||||
-webkit-appearance: none;
|
||||
}
|
||||
|
||||
input[type='range']::-webkit-slider-thumb {
|
||||
appearance: none;
|
||||
-webkit-appearance: none;
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
border-radius: 50%;
|
||||
background: linear-gradient(135deg, #4ecdc4 0%, #44a59d 100%);
|
||||
cursor: pointer;
|
||||
box-shadow: 0 2px 8px rgba(78, 205, 196, 0.4);
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
input[type='range']::-webkit-slider-thumb:hover {
|
||||
transform: scale(1.2);
|
||||
}
|
||||
|
||||
input[type='range']::-moz-range-thumb {
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
border-radius: 50%;
|
||||
background: linear-gradient(135deg, #4ecdc4 0%, #44a59d 100%);
|
||||
cursor: pointer;
|
||||
border: none;
|
||||
box-shadow: 0 2px 8px rgba(78, 205, 196, 0.4);
|
||||
}
|
||||
|
||||
.slider-labels {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
margin-top: 0.25rem;
|
||||
font-size: 0.8rem;
|
||||
color: #888;
|
||||
}
|
||||
|
||||
.control-info {
|
||||
background: #1a1a2e;
|
||||
padding: 1rem;
|
||||
border-radius: 8px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
|
||||
.info-row {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.info-label {
|
||||
color: #888;
|
||||
font-size: 0.9rem;
|
||||
}
|
||||
|
||||
.info-value {
|
||||
color: #4ecdc4;
|
||||
font-weight: 600;
|
||||
font-size: 1.1rem;
|
||||
}
|
||||
|
||||
/* Stats */
|
||||
.stats-panel {
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
padding: 1.5rem;
|
||||
border-radius: 12px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
|
||||
.stats-panel h3 {
|
||||
margin: 0 0 1.5rem 0;
|
||||
color: #fff;
|
||||
font-size: 1.2rem;
|
||||
}
|
||||
|
||||
.stat-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(2, 1fr);
|
||||
gap: 1rem;
|
||||
margin-bottom: 1.5rem;
|
||||
}
|
||||
|
||||
.stat-item {
|
||||
background: #1a1a2e;
|
||||
padding: 1rem;
|
||||
border-radius: 8px;
|
||||
border: 1px solid #3a3a4e;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.stat-item.highlight {
|
||||
border-color: #4ecdc4;
|
||||
background: linear-gradient(135deg, rgba(78, 205, 196, 0.1) 0%, #1a1a2e 100%);
|
||||
}
|
||||
|
||||
.stat-label {
|
||||
color: #888;
|
||||
font-size: 0.85rem;
|
||||
margin-bottom: 0.5rem;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
}
|
||||
|
||||
.stat-value {
|
||||
color: #4ecdc4;
|
||||
font-size: 1.8rem;
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.progress-indicator {
|
||||
background: #1a1a2e;
|
||||
padding: 1rem;
|
||||
border-radius: 8px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
|
||||
.progress-label {
|
||||
color: #ccc;
|
||||
font-size: 0.9rem;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.progress-bar {
|
||||
width: 100%;
|
||||
height: 8px;
|
||||
background: #3a3a4e;
|
||||
border-radius: 4px;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.progress-fill {
|
||||
height: 100%;
|
||||
background: linear-gradient(90deg, #4ecdc4 0%, #44a59d 100%);
|
||||
transition: width 0.3s ease;
|
||||
box-shadow: 0 0 10px rgba(78, 205, 196, 0.5);
|
||||
}
|
||||
|
||||
/* Tips */
|
||||
.tips-panel {
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
padding: 1.5rem;
|
||||
border-radius: 12px;
|
||||
border: 1px solid #3a3a4e;
|
||||
max-height: 600px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.tips-panel h3 {
|
||||
margin: 0 0 1.5rem 0;
|
||||
color: #fff;
|
||||
font-size: 1.2rem;
|
||||
}
|
||||
|
||||
.tip-section {
|
||||
margin-bottom: 1.5rem;
|
||||
}
|
||||
|
||||
.tip-section:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.tip-section h4 {
|
||||
color: #4ecdc4;
|
||||
font-size: 1rem;
|
||||
margin: 0 0 0.75rem 0;
|
||||
}
|
||||
|
||||
.tip-section p {
|
||||
color: #ccc;
|
||||
line-height: 1.6;
|
||||
margin: 0 0 0.75rem 0;
|
||||
}
|
||||
|
||||
.tip-section ul,
|
||||
.tip-section ol {
|
||||
color: #ccc;
|
||||
line-height: 1.8;
|
||||
margin: 0;
|
||||
padding-left: 1.5rem;
|
||||
}
|
||||
|
||||
.tip-section li {
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.tip-section strong {
|
||||
color: #4ecdc4;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
/* Scrollbar styling for tips panel */
|
||||
.tips-panel::-webkit-scrollbar {
|
||||
width: 8px;
|
||||
}
|
||||
|
||||
.tips-panel::-webkit-scrollbar-track {
|
||||
background: #1a1a2e;
|
||||
border-radius: 4px;
|
||||
}
|
||||
|
||||
.tips-panel::-webkit-scrollbar-thumb {
|
||||
background: #3a3a4e;
|
||||
border-radius: 4px;
|
||||
}
|
||||
|
||||
.tips-panel::-webkit-scrollbar-thumb:hover {
|
||||
background: #4a4a5e;
|
||||
}
|
||||
|
||||
/* Responsive */
|
||||
@media (max-width: 1200px) {
|
||||
.snake-ai-layout {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.stat-grid {
|
||||
grid-template-columns: repeat(3, 1fr);
|
||||
}
|
||||
}
|
||||
|
||||
/* Best Snake Display */
|
||||
.best-snake-panel {
|
||||
background: linear-gradient(135deg, #2a2a3e 0%, #1a1a2e 100%);
|
||||
padding: 1.5rem;
|
||||
border-radius: 12px;
|
||||
border: 2px solid #4ecdc4;
|
||||
box-shadow: 0 0 20px rgba(78, 205, 196, 0.15);
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 1rem;
|
||||
}
|
||||
|
||||
.best-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
width: 100%;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.best-header h3 {
|
||||
margin: 0;
|
||||
color: #4ecdc4;
|
||||
font-size: 1.4rem;
|
||||
text-shadow: 0 0 10px rgba(78, 205, 196, 0.3);
|
||||
}
|
||||
|
||||
.best-stats {
|
||||
display: flex;
|
||||
gap: 0.75rem;
|
||||
align-items: baseline;
|
||||
background: rgba(78, 205, 196, 0.1);
|
||||
padding: 0.5rem 1rem;
|
||||
border-radius: 20px;
|
||||
border: 1px solid rgba(78, 205, 196, 0.3);
|
||||
}
|
||||
|
||||
.best-stats .label {
|
||||
color: #ccc;
|
||||
font-size: 0.9rem;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
}
|
||||
|
||||
.best-stats .value {
|
||||
color: #fff;
|
||||
font-weight: 700;
|
||||
font-size: 1.2rem;
|
||||
}
|
||||
|
||||
.best-canvas-wrapper {
|
||||
padding: 1rem;
|
||||
background: #151525;
|
||||
border-radius: 12px;
|
||||
border: 1px solid #3a3a4e;
|
||||
}
|
||||
164
src/apps/SnakeAI/SnakeAI.tsx
Normal file
164
src/apps/SnakeAI/SnakeAI.tsx
Normal file
@@ -0,0 +1,164 @@
|
||||
import { useState, useEffect, useRef, useCallback } from 'react';
|
||||
import AppContainer from '../../components/AppContainer';
|
||||
import SnakeGrid from './SnakeGrid';
|
||||
import Controls from './Controls';
|
||||
import Stats from './Stats';
|
||||
import Tips from './Tips';
|
||||
import BestSnakeDisplay from './BestSnakeDisplay';
|
||||
import {
|
||||
createPopulation,
|
||||
evaluatePopulation,
|
||||
evolveGeneration,
|
||||
getBestIndividual,
|
||||
getAverageFitness,
|
||||
type Population,
|
||||
} from '../../lib/snakeAI/evolution';
|
||||
import type { EvolutionConfig } from '../../lib/snakeAI/types';
|
||||
import './SnakeAI.css';
|
||||
|
||||
const DEFAULT_CONFIG: EvolutionConfig = {
|
||||
populationSize: 25,
|
||||
mutationRate: 0.1,
|
||||
eliteCount: 5,
|
||||
gridSize: 20,
|
||||
maxGameSteps: 500,
|
||||
};
|
||||
|
||||
export default function SnakeAI() {
|
||||
const [population, setPopulation] = useState<Population>(() =>
|
||||
createPopulation(DEFAULT_CONFIG)
|
||||
);
|
||||
const [config, setConfig] = useState<EvolutionConfig>(DEFAULT_CONFIG);
|
||||
const [isRunning, setIsRunning] = useState(false);
|
||||
const [speed, setSpeed] = useState(5);
|
||||
const [gamesPlayed, setGamesPlayed] = useState(0);
|
||||
|
||||
// Compute derived values from population
|
||||
const bestIndividual = getBestIndividual(population);
|
||||
const averageFitness = getAverageFitness(population);
|
||||
|
||||
const animationFrameRef = useRef<number>();
|
||||
const lastUpdateRef = useRef<number>(0);
|
||||
|
||||
const runGeneration = useCallback(() => {
|
||||
setPopulation((prev) => {
|
||||
try {
|
||||
// Evaluate current generation
|
||||
const evaluated = evaluatePopulation(prev, config);
|
||||
|
||||
// Evolve to next generation
|
||||
const nextGen = evolveGeneration(evaluated, config);
|
||||
|
||||
return nextGen;
|
||||
} catch (error) {
|
||||
console.error("SnakeAI: Generation update failed", error);
|
||||
return prev;
|
||||
}
|
||||
});
|
||||
}, [config]);
|
||||
|
||||
// Update stats when generation changes
|
||||
useEffect(() => {
|
||||
if (population.generation > 1) {
|
||||
setGamesPlayed((count) => count + config.populationSize);
|
||||
}
|
||||
}, [population.generation, config.populationSize]);
|
||||
|
||||
useEffect(() => {
|
||||
if (!isRunning) {
|
||||
if (animationFrameRef.current) {
|
||||
cancelAnimationFrame(animationFrameRef.current);
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
const animate = (timestamp: number) => {
|
||||
const elapsed = timestamp - lastUpdateRef.current;
|
||||
|
||||
// Non-linear speed scaling:
|
||||
// Speed 1: ~5000ms (5s) per generation - Observation mode
|
||||
// Speed 5: ~1000ms (1s)
|
||||
// Speed 20: ~50ms - Turbo training
|
||||
// Formula: Base delay divided by speed, with a visual observation bias
|
||||
|
||||
let updateInterval;
|
||||
if (speed <= 5) {
|
||||
// Speeds 1-5: 10s down to 2s
|
||||
updateInterval = 12000 / speed;
|
||||
} else {
|
||||
// Speeds 6-20: Linear fast
|
||||
updateInterval = 1000 / (speed - 4);
|
||||
}
|
||||
|
||||
if (elapsed >= updateInterval) {
|
||||
runGeneration();
|
||||
lastUpdateRef.current = timestamp;
|
||||
}
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(animate);
|
||||
};
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(animate);
|
||||
|
||||
return () => {
|
||||
if (animationFrameRef.current) {
|
||||
cancelAnimationFrame(animationFrameRef.current);
|
||||
}
|
||||
};
|
||||
}, [isRunning, speed, runGeneration]);
|
||||
|
||||
const handleReset = () => {
|
||||
setIsRunning(false);
|
||||
setPopulation(createPopulation(config));
|
||||
setGamesPlayed(0);
|
||||
};
|
||||
|
||||
const handleMutationRateChange = (rate: number) => {
|
||||
setConfig((prev) => ({ ...prev, mutationRate: rate }));
|
||||
};
|
||||
|
||||
return (
|
||||
<AppContainer title="Neural Network Snake Evolution">
|
||||
<div className="snake-ai-layout">
|
||||
<div className="left-panel">
|
||||
<BestSnakeDisplay
|
||||
network={population.bestNetworkEver}
|
||||
gridSize={config.gridSize}
|
||||
fitness={population.bestFitnessEver}
|
||||
/>
|
||||
<SnakeGrid
|
||||
individuals={population.individuals}
|
||||
gridSize={config.gridSize}
|
||||
count={config.populationSize}
|
||||
columns={5}
|
||||
/>
|
||||
|
||||
</div>
|
||||
|
||||
<div className="right-panel">
|
||||
<Controls
|
||||
isRunning={isRunning}
|
||||
onToggleRunning={() => setIsRunning(!isRunning)}
|
||||
onReset={handleReset}
|
||||
speed={speed}
|
||||
onSpeedChange={setSpeed}
|
||||
mutationRate={config.mutationRate}
|
||||
onMutationRateChange={handleMutationRateChange}
|
||||
populationSize={config.populationSize}
|
||||
/>
|
||||
|
||||
<Stats
|
||||
generation={population.generation}
|
||||
bestFitness={bestIndividual.fitness}
|
||||
bestFitnessEver={population.bestFitnessEver}
|
||||
averageFitness={averageFitness}
|
||||
gamesPlayed={gamesPlayed}
|
||||
/>
|
||||
|
||||
<Tips />
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</AppContainer>
|
||||
);
|
||||
}
|
||||
196
src/apps/SnakeAI/SnakeCanvas.tsx
Normal file
196
src/apps/SnakeAI/SnakeCanvas.tsx
Normal file
@@ -0,0 +1,196 @@
|
||||
import { useRef, useEffect, useState } from 'react';
|
||||
import type { GameState } from '../../lib/snakeAI/game';
|
||||
import { createGame, step, getInputs } from '../../lib/snakeAI/game';
|
||||
import { getAction, type Network } from '../../lib/snakeAI/network';
|
||||
|
||||
interface SnakeCanvasProps {
|
||||
network: Network | null;
|
||||
gridSize: number;
|
||||
showGrid?: boolean;
|
||||
size?: 'small' | 'normal' | 'large';
|
||||
showStats?: boolean; // Show score/length/steps even in small mode
|
||||
}
|
||||
|
||||
const CELL_SIZES = {
|
||||
small: 8,
|
||||
normal: 20,
|
||||
large: 30,
|
||||
};
|
||||
|
||||
const CANVAS_PADDING = 10;
|
||||
|
||||
export default function SnakeCanvas({ network, gridSize, showGrid = true, size = 'normal', showStats = false }: SnakeCanvasProps) {
|
||||
const canvasRef = useRef<HTMLCanvasElement>(null);
|
||||
const [currentGame, setCurrentGame] = useState<GameState | null>(null);
|
||||
const animationFrameRef = useRef<number>();
|
||||
const lastUpdateRef = useRef<number>(0);
|
||||
|
||||
const CELL_SIZE = CELL_SIZES[size];
|
||||
|
||||
// Initialize game when network or gridSize changes
|
||||
useEffect(() => {
|
||||
if (network) {
|
||||
setCurrentGame(createGame(gridSize));
|
||||
}
|
||||
}, [network, gridSize]);
|
||||
|
||||
// Animation loop to step through game
|
||||
useEffect(() => {
|
||||
if (!network || !currentGame) return;
|
||||
|
||||
const STEPS_PER_SECOND = 10; // Speed of game playback
|
||||
const UPDATE_INTERVAL = 1000 / STEPS_PER_SECOND;
|
||||
|
||||
const animate = (timestamp: number) => {
|
||||
const elapsed = timestamp - lastUpdateRef.current;
|
||||
|
||||
if (elapsed >= UPDATE_INTERVAL) {
|
||||
setCurrentGame((prevGame) => {
|
||||
if (!prevGame) return prevGame;
|
||||
|
||||
// If game is over, start a new one
|
||||
if (!prevGame.alive) {
|
||||
return createGame(gridSize);
|
||||
}
|
||||
|
||||
// Get neural network decision
|
||||
const inputs = getInputs(prevGame);
|
||||
const action = getAction(network, inputs);
|
||||
|
||||
// Step the game forward
|
||||
return step(prevGame, action);
|
||||
});
|
||||
|
||||
lastUpdateRef.current = timestamp;
|
||||
}
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(animate);
|
||||
};
|
||||
|
||||
animationFrameRef.current = requestAnimationFrame(animate);
|
||||
|
||||
return () => {
|
||||
if (animationFrameRef.current) {
|
||||
cancelAnimationFrame(animationFrameRef.current);
|
||||
}
|
||||
};
|
||||
}, [network, currentGame, gridSize]);
|
||||
|
||||
// Set canvas size once when props change (not on every render)
|
||||
useEffect(() => {
|
||||
if (!canvasRef.current) return;
|
||||
const canvas = canvasRef.current;
|
||||
const canvasSize = gridSize * CELL_SIZE + CANVAS_PADDING * 2;
|
||||
canvas.width = canvasSize;
|
||||
canvas.height = canvasSize;
|
||||
}, [gridSize, size]);
|
||||
|
||||
// Render game to canvas
|
||||
useEffect(() => {
|
||||
if (!currentGame || !canvasRef.current) return;
|
||||
|
||||
const canvas = canvasRef.current;
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
|
||||
const canvasSize = gridSize * CELL_SIZE + CANVAS_PADDING * 2;
|
||||
|
||||
// Clear canvas
|
||||
ctx.fillStyle = '#1a1a2e';
|
||||
ctx.fillRect(0, 0, canvasSize, canvasSize);
|
||||
|
||||
// Draw grid
|
||||
if (showGrid) {
|
||||
ctx.strokeStyle = '#2a2a3e';
|
||||
ctx.lineWidth = 1;
|
||||
for (let i = 0; i <= currentGame.gridSize; i++) {
|
||||
const pos = i * CELL_SIZE + CANVAS_PADDING;
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(pos, CANVAS_PADDING);
|
||||
ctx.lineTo(pos, currentGame.gridSize * CELL_SIZE + CANVAS_PADDING);
|
||||
ctx.stroke();
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(CANVAS_PADDING, pos);
|
||||
ctx.lineTo(currentGame.gridSize * CELL_SIZE + CANVAS_PADDING, pos);
|
||||
ctx.stroke();
|
||||
}
|
||||
}
|
||||
|
||||
// Draw food
|
||||
ctx.fillStyle = '#ff6b6b';
|
||||
ctx.shadowBlur = 15;
|
||||
ctx.shadowColor = '#ff6b6b';
|
||||
const foodX = currentGame.food.x * CELL_SIZE + CANVAS_PADDING + CELL_SIZE / 2;
|
||||
const foodY = currentGame.food.y * CELL_SIZE + CANVAS_PADDING + CELL_SIZE / 2;
|
||||
ctx.beginPath();
|
||||
ctx.arc(foodX, foodY, CELL_SIZE / 3, 0, Math.PI * 2);
|
||||
ctx.fill();
|
||||
ctx.shadowBlur = 0;
|
||||
|
||||
// Draw snake
|
||||
currentGame.snake.forEach((segment, index) => {
|
||||
const x = segment.x * CELL_SIZE + CANVAS_PADDING;
|
||||
const y = segment.y * CELL_SIZE + CANVAS_PADDING;
|
||||
|
||||
if (index === 0) {
|
||||
// Head - brighter and larger
|
||||
ctx.fillStyle = currentGame.alive ? '#4ecdc4' : '#e74c3c';
|
||||
ctx.shadowBlur = 10;
|
||||
ctx.shadowColor = currentGame.alive ? '#4ecdc4' : '#e74c3c';
|
||||
} else {
|
||||
// Body - gradient from head to tail
|
||||
const alpha = 1 - (index / currentGame.snake.length) * 0.5;
|
||||
ctx.fillStyle = `rgba(78, 205, 196, ${alpha})`;
|
||||
ctx.shadowBlur = 0;
|
||||
}
|
||||
|
||||
ctx.fillRect(x + 2, y + 2, CELL_SIZE - 4, CELL_SIZE - 4);
|
||||
});
|
||||
|
||||
ctx.shadowBlur = 0;
|
||||
|
||||
// Draw death overlay if dead
|
||||
if (!currentGame.alive) {
|
||||
ctx.fillStyle = 'rgba(231, 76, 60, 0.2)';
|
||||
ctx.fillRect(0, 0, canvasSize, canvasSize);
|
||||
|
||||
ctx.fillStyle = '#e74c3c';
|
||||
ctx.font = `bold ${size === 'small' ? '16' : '24'}px Inter, sans-serif`;
|
||||
ctx.textAlign = 'center';
|
||||
ctx.textBaseline = 'middle';
|
||||
ctx.fillText('DEAD', canvasSize / 2, canvasSize / 2);
|
||||
}
|
||||
}, [currentGame, showGrid]);
|
||||
|
||||
// Calculate canvas size from props, not state, to prevent shaking
|
||||
const canvasSize = gridSize * CELL_SIZE + CANVAS_PADDING * 2;
|
||||
|
||||
return (
|
||||
<div className="snake-canvas-container">
|
||||
<canvas
|
||||
ref={canvasRef}
|
||||
width={canvasSize}
|
||||
height={canvasSize}
|
||||
style={{
|
||||
width: `${canvasSize}px`,
|
||||
height: `${canvasSize}px`,
|
||||
border: '2px solid #3a3a4e',
|
||||
borderRadius: '8px',
|
||||
backgroundColor: '#1a1a2e',
|
||||
}}
|
||||
/>
|
||||
{currentGame && (size !== 'small' || showStats) && (
|
||||
<div className="canvas-info" style={size === 'small' ? { fontSize: '0.7rem', gap: '0.5rem', padding: '0.4rem 0.8rem' } : {}}>
|
||||
<div className="info-item">
|
||||
<span className="label">Score:</span>
|
||||
<span className="value" style={{ fontVariantNumeric: 'tabular-nums', minWidth: '2ch', display: 'inline-block' }}>{currentGame.score}</span>
|
||||
</div>
|
||||
<div className="info-item">
|
||||
<span className="label">Steps:</span>
|
||||
<span className="value" style={{ fontVariantNumeric: 'tabular-nums', minWidth: '3ch', display: 'inline-block' }}>{currentGame.steps}</span>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
38
src/apps/SnakeAI/SnakeGrid.tsx
Normal file
38
src/apps/SnakeAI/SnakeGrid.tsx
Normal file
@@ -0,0 +1,38 @@
|
||||
import SnakeCanvas from './SnakeCanvas';
|
||||
import type { Individual } from '../../lib/snakeAI/evolution';
|
||||
|
||||
interface SnakeGridProps {
|
||||
individuals: Individual[];
|
||||
gridSize: number;
|
||||
count?: number; // How many snakes to show (default: 9)
|
||||
columns?: number; // Number of columns in grid (default: 3)
|
||||
}
|
||||
|
||||
export default function SnakeGrid({ individuals, gridSize, count = 9, columns = 3 }: SnakeGridProps) {
|
||||
// Take the top N individuals (sorted by fitness)
|
||||
const topIndividuals = [...individuals]
|
||||
.sort((a, b) => b.fitness - a.fitness)
|
||||
.slice(0, count);
|
||||
|
||||
return (
|
||||
<div className="snake-grid" style={{ gridTemplateColumns: `repeat(${columns}, 1fr)` }}>
|
||||
{topIndividuals.map((individual, index) => (
|
||||
<div key={index} className={`snake-grid-cell ${index === 0 ? 'best' : ''}`}>
|
||||
<div className="snake-grid-label">
|
||||
#{index + 1}
|
||||
{individual.fitness > 0 && (
|
||||
<span className="fitness-badge">{Math.round(individual.fitness)}</span>
|
||||
)}
|
||||
</div>
|
||||
<SnakeCanvas
|
||||
network={individual.network}
|
||||
gridSize={gridSize}
|
||||
size="small"
|
||||
showGrid={false}
|
||||
showStats={true}
|
||||
/>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
62
src/apps/SnakeAI/Stats.tsx
Normal file
62
src/apps/SnakeAI/Stats.tsx
Normal file
@@ -0,0 +1,62 @@
|
||||
interface StatsProps {
|
||||
generation: number;
|
||||
bestFitness: number;
|
||||
bestFitnessEver: number;
|
||||
averageFitness: number;
|
||||
gamesPlayed: number;
|
||||
}
|
||||
|
||||
export default function Stats({
|
||||
generation,
|
||||
bestFitness,
|
||||
bestFitnessEver,
|
||||
averageFitness,
|
||||
gamesPlayed,
|
||||
}: StatsProps) {
|
||||
return (
|
||||
<div className="stats-panel">
|
||||
<h3>Evolution Statistics</h3>
|
||||
|
||||
<div className="stat-grid">
|
||||
<div className="stat-item highlight">
|
||||
<div className="stat-label">Generation</div>
|
||||
<div className="stat-value">{generation}</div>
|
||||
</div>
|
||||
|
||||
<div className="stat-item highlight">
|
||||
<div className="stat-label">Best Ever</div>
|
||||
<div className="stat-value">{Math.round(bestFitnessEver)}</div>
|
||||
</div>
|
||||
|
||||
<div className="stat-item">
|
||||
<div className="stat-label">Current Best</div>
|
||||
<div className="stat-value">{Math.round(bestFitness)}</div>
|
||||
</div>
|
||||
|
||||
<div className="stat-item">
|
||||
<div className="stat-label">Average</div>
|
||||
<div className="stat-value">{Math.round(averageFitness)}</div>
|
||||
</div>
|
||||
|
||||
<div className="stat-item">
|
||||
<div className="stat-label">Games Played</div>
|
||||
<div className="stat-value">{gamesPlayed.toLocaleString()}</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="progress-indicator">
|
||||
<div className="progress-label">
|
||||
Improvement: {bestFitnessEver > 0 ? ((bestFitness / bestFitnessEver) * 100).toFixed(1) : 0}%
|
||||
</div>
|
||||
<div className="progress-bar">
|
||||
<div
|
||||
className="progress-fill"
|
||||
style={{
|
||||
width: `${bestFitnessEver > 0 ? Math.min(100, (bestFitness / bestFitnessEver) * 100) : 0}%`,
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
54
src/apps/SnakeAI/Tips.tsx
Normal file
54
src/apps/SnakeAI/Tips.tsx
Normal file
@@ -0,0 +1,54 @@
|
||||
export default function Tips() {
|
||||
return (
|
||||
<div className="tips-panel">
|
||||
<h3>How It Works</h3>
|
||||
|
||||
<div className="tip-section">
|
||||
<h4>🧠 Neural Network</h4>
|
||||
<p>
|
||||
Each snake is controlled by a neural network with <strong>8 inputs</strong>:
|
||||
</p>
|
||||
<ul>
|
||||
<li>Direction to food (X and Y)</li>
|
||||
<li>Danger sensors (up, down, left, right)</li>
|
||||
<li>Current direction</li>
|
||||
<li>Snake length</li>
|
||||
</ul>
|
||||
<p>
|
||||
The network outputs <strong>3 actions</strong>: turn left, go straight, or turn right.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="tip-section">
|
||||
<h4>🧬 Evolution Process</h4>
|
||||
<ol>
|
||||
<li><strong>Play:</strong> All snakes play until they die</li>
|
||||
<li><strong>Evaluate:</strong> Calculate fitness score</li>
|
||||
<li><strong>Select:</strong> Best performers become parents</li>
|
||||
<li><strong>Reproduce:</strong> Create new generation via crossover and mutation</li>
|
||||
<li><strong>Repeat:</strong> New generation plays the game</li>
|
||||
</ol>
|
||||
</div>
|
||||
|
||||
<div className="tip-section">
|
||||
<h4>📊 Fitness Function</h4>
|
||||
<p>Snakes are scored based on:</p>
|
||||
<ul>
|
||||
<li><strong>Food collected</strong> × 100 (primary goal)</li>
|
||||
<li><strong>Survival time</strong> × 1 (stay alive)</li>
|
||||
<li><strong>Snake length</strong> × 10 (growth bonus)</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div className="tip-section">
|
||||
<h4>💡 Tips for Best Results</h4>
|
||||
<ul>
|
||||
<li>Higher mutation rate = more exploration</li>
|
||||
<li>Lower mutation rate = refine existing strategies</li>
|
||||
<li>Evolution improves around generation 10-20</li>
|
||||
<li>Watch for emergent behaviors and patterns!</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
1
src/assets/react.svg
Normal file
1
src/assets/react.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="iconify iconify--logos" width="35.93" height="32" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 228"><path fill="#00D8FF" d="M210.483 73.824a171.49 171.49 0 0 0-8.24-2.597c.465-1.9.893-3.777 1.273-5.621c6.238-30.281 2.16-54.676-11.769-62.708c-13.355-7.7-35.196.329-57.254 19.526a171.23 171.23 0 0 0-6.375 5.848a155.866 155.866 0 0 0-4.241-3.917C100.759 3.829 77.587-4.822 63.673 3.233C50.33 10.957 46.379 33.89 51.995 62.588a170.974 170.974 0 0 0 1.892 8.48c-3.28.932-6.445 1.924-9.474 2.98C17.309 83.498 0 98.307 0 113.668c0 15.865 18.582 31.778 46.812 41.427a145.52 145.52 0 0 0 6.921 2.165a167.467 167.467 0 0 0-2.01 9.138c-5.354 28.2-1.173 50.591 12.134 58.266c13.744 7.926 36.812-.22 59.273-19.855a145.567 145.567 0 0 0 5.342-4.923a168.064 168.064 0 0 0 6.92 6.314c21.758 18.722 43.246 26.282 56.54 18.586c13.731-7.949 18.194-32.003 12.4-61.268a145.016 145.016 0 0 0-1.535-6.842c1.62-.48 3.21-.974 4.76-1.488c29.348-9.723 48.443-25.443 48.443-41.52c0-15.417-17.868-30.326-45.517-39.844Zm-6.365 70.984c-1.4.463-2.836.91-4.3 1.345c-3.24-10.257-7.612-21.163-12.963-32.432c5.106-11 9.31-21.767 12.459-31.957c2.619.758 5.16 1.557 7.61 2.4c23.69 8.156 38.14 20.213 38.14 29.504c0 9.896-15.606 22.743-40.946 31.14Zm-10.514 20.834c2.562 12.94 2.927 24.64 1.23 33.787c-1.524 8.219-4.59 13.698-8.382 15.893c-8.067 4.67-25.32-1.4-43.927-17.412a156.726 156.726 0 0 1-6.437-5.87c7.214-7.889 14.423-17.06 21.459-27.246c12.376-1.098 24.068-2.894 34.671-5.345a134.17 134.17 0 0 1 1.386 6.193ZM87.276 214.515c-7.882 2.783-14.16 2.863-17.955.675c-8.075-4.657-11.432-22.636-6.853-46.752a156.923 156.923 0 0 1 1.869-8.499c10.486 2.32 22.093 3.988 34.498 4.994c7.084 9.967 14.501 19.128 21.976 27.15a134.668 134.668 0 0 1-4.877 4.492c-9.933 8.682-19.886 14.842-28.658 17.94ZM50.35 144.747c-12.483-4.267-22.792-9.812-29.858-15.863c-6.35-5.437-9.555-10.836-9.555-15.216c0-9.322 13.897-21.212 37.076-29.293c2.813-.98 5.757-1.905 8.812-2.773c3.204 10.42 7.406 21.315 12.477 32.332c-5.137 11.18-9.399 22.249-12.634 32.792a134.718 134.718 0 0 1-6.318-1.979Zm12.378-84.26c-4.811-24.587-1.616-43.134 6.425-47.789c8.564-4.958 27.502 2.111 47.463 19.835a144.318 144.318 0 0 1 3.841 3.545c-7.438 7.987-14.787 17.08-21.808 26.988c-12.04 1.116-23.565 2.908-34.161 5.309a160.342 160.342 0 0 1-1.76-7.887Zm110.427 27.268a347.8 347.8 0 0 0-7.785-12.803c8.168 1.033 15.994 2.404 23.343 4.08c-2.206 7.072-4.956 14.465-8.193 22.045a381.151 381.151 0 0 0-7.365-13.322Zm-45.032-43.861c5.044 5.465 10.096 11.566 15.065 18.186a322.04 322.04 0 0 0-30.257-.006c4.974-6.559 10.069-12.652 15.192-18.18ZM82.802 87.83a323.167 323.167 0 0 0-7.227 13.238c-3.184-7.553-5.909-14.98-8.134-22.152c7.304-1.634 15.093-2.97 23.209-3.984a321.524 321.524 0 0 0-7.848 12.897Zm8.081 65.352c-8.385-.936-16.291-2.203-23.593-3.793c2.26-7.3 5.045-14.885 8.298-22.6a321.187 321.187 0 0 0 7.257 13.246c2.594 4.48 5.28 8.868 8.038 13.147Zm37.542 31.03c-5.184-5.592-10.354-11.779-15.403-18.433c4.902.192 9.899.29 14.978.29c5.218 0 10.376-.117 15.453-.343c-4.985 6.774-10.018 12.97-15.028 18.486Zm52.198-57.817c3.422 7.8 6.306 15.345 8.596 22.52c-7.422 1.694-15.436 3.058-23.88 4.071a382.417 382.417 0 0 0 7.859-13.026a347.403 347.403 0 0 0 7.425-13.565Zm-16.898 8.101a358.557 358.557 0 0 1-12.281 19.815a329.4 329.4 0 0 1-23.444.823c-7.967 0-15.716-.248-23.178-.732a310.202 310.202 0 0 1-12.513-19.846h.001a307.41 307.41 0 0 1-10.923-20.627a310.278 310.278 0 0 1 10.89-20.637l-.001.001a307.318 307.318 0 0 1 12.413-19.761c7.613-.576 15.42-.876 23.31-.876H128c7.926 0 15.743.303 23.354.883a329.357 329.357 0 0 1 12.335 19.695a358.489 358.489 0 0 1 11.036 20.54a329.472 329.472 0 0 1-11 20.722Zm22.56-122.124c8.572 4.944 11.906 24.881 6.52 51.026c-.344 1.668-.73 3.367-1.15 5.09c-10.622-2.452-22.155-4.275-34.23-5.408c-7.034-10.017-14.323-19.124-21.64-27.008a160.789 160.789 0 0 1 5.888-5.4c18.9-16.447 36.564-22.941 44.612-18.3ZM128 90.808c12.625 0 22.86 10.235 22.86 22.86s-10.235 22.86-22.86 22.86s-22.86-10.235-22.86-22.86s10.235-22.86 22.86-22.86Z"></path></svg>
|
||||
|
After Width: | Height: | Size: 4.0 KiB |
28
src/components/AppContainer.css
Normal file
28
src/components/AppContainer.css
Normal file
@@ -0,0 +1,28 @@
|
||||
.app-container {
|
||||
height: 100vh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
background: var(--bg-dark);
|
||||
}
|
||||
|
||||
.app-header {
|
||||
padding: 2rem 3rem;
|
||||
background: rgba(255, 255, 255, 0.02);
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
}
|
||||
|
||||
.app-title {
|
||||
margin: 0;
|
||||
font-size: 2rem;
|
||||
font-weight: 700;
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--accent) 100%);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
background-clip: text;
|
||||
}
|
||||
|
||||
.app-content {
|
||||
flex: 1;
|
||||
padding: 2rem 3rem;
|
||||
overflow-y: auto;
|
||||
}
|
||||
18
src/components/AppContainer.tsx
Normal file
18
src/components/AppContainer.tsx
Normal file
@@ -0,0 +1,18 @@
|
||||
import type { ReactNode } from 'react';
|
||||
import './AppContainer.css';
|
||||
|
||||
interface AppContainerProps {
|
||||
title: string;
|
||||
children: ReactNode;
|
||||
}
|
||||
|
||||
export default function AppContainer({ title, children }: AppContainerProps) {
|
||||
return (
|
||||
<div className="app-container">
|
||||
<header className="app-header">
|
||||
<h2 className="app-title">{title}</h2>
|
||||
</header>
|
||||
<div className="app-content">{children}</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
92
src/components/Sidebar.css
Normal file
92
src/components/Sidebar.css
Normal file
@@ -0,0 +1,92 @@
|
||||
.sidebar {
|
||||
width: 280px;
|
||||
height: 100vh;
|
||||
background: var(--bg-darker);
|
||||
border-right: 1px solid var(--border-color);
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
padding: 2rem 0;
|
||||
box-shadow: 4px 0 24px rgba(0, 0, 0, 0.5);
|
||||
}
|
||||
|
||||
.sidebar-header {
|
||||
padding: 0 1.5rem 2rem;
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
}
|
||||
|
||||
.sidebar-logo {
|
||||
font-size: 1.75rem;
|
||||
font-weight: 700;
|
||||
margin: 0;
|
||||
background: linear-gradient(135deg, var(--primary) 0%, var(--accent) 100%);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
background-clip: text;
|
||||
}
|
||||
|
||||
.sidebar-tagline {
|
||||
margin: 0.25rem 0 0;
|
||||
font-size: 0.875rem;
|
||||
color: rgba(255, 255, 255, 0.5);
|
||||
font-weight: 300;
|
||||
}
|
||||
|
||||
.sidebar-nav {
|
||||
flex: 1;
|
||||
padding: 2rem 1rem;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 0.5rem;
|
||||
}
|
||||
|
||||
.nav-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 1rem;
|
||||
padding: 1rem 1.25rem;
|
||||
background: transparent;
|
||||
border: 1px solid rgba(255, 255, 255, 0.1);
|
||||
border-radius: 12px;
|
||||
color: rgba(255, 255, 255, 0.7);
|
||||
cursor: pointer;
|
||||
transition: all 0.3s ease;
|
||||
font-size: 1rem;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.nav-item:hover {
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
border-color: var(--primary);
|
||||
color: rgba(255, 255, 255, 0.9);
|
||||
transform: translateX(4px);
|
||||
}
|
||||
|
||||
.nav-item.active {
|
||||
background: linear-gradient(135deg, rgba(99, 102, 241, 0.15) 0%, rgba(139, 92, 246, 0.15) 100%);
|
||||
border-color: var(--primary);
|
||||
color: #fff;
|
||||
box-shadow: 0 4px 15px rgba(99, 102, 241, 0.3);
|
||||
}
|
||||
|
||||
.nav-icon {
|
||||
font-size: 1.5rem;
|
||||
line-height: 1;
|
||||
}
|
||||
|
||||
.nav-name {
|
||||
font-weight: 500;
|
||||
}
|
||||
|
||||
.sidebar-footer {
|
||||
padding: 0 1.5rem;
|
||||
border-top: 1px solid rgba(255, 255, 255, 0.1);
|
||||
padding-top: 1.5rem;
|
||||
}
|
||||
|
||||
.footer-text {
|
||||
margin: 0;
|
||||
font-size: 0.75rem;
|
||||
color: rgba(255, 255, 255, 0.4);
|
||||
text-align: center;
|
||||
font-style: italic;
|
||||
}
|
||||
59
src/components/Sidebar.tsx
Normal file
59
src/components/Sidebar.tsx
Normal file
@@ -0,0 +1,59 @@
|
||||
import './Sidebar.css';
|
||||
|
||||
export type AppId = 'image-approx' | 'snake-ai';
|
||||
|
||||
export interface AppInfo {
|
||||
id: AppId;
|
||||
name: string;
|
||||
icon: string;
|
||||
description: string;
|
||||
}
|
||||
|
||||
export const APPS: AppInfo[] = [
|
||||
{
|
||||
id: 'image-approx',
|
||||
name: 'Image Approximation',
|
||||
icon: '🎨',
|
||||
description: 'Evolve triangles to approximate images',
|
||||
},
|
||||
{
|
||||
id: 'snake-ai',
|
||||
name: 'Neural Network Snake',
|
||||
icon: '🐍',
|
||||
description: 'Evolve neural networks to play Snake',
|
||||
},
|
||||
];
|
||||
|
||||
interface SidebarProps {
|
||||
currentApp: AppId;
|
||||
onAppChange: (appId: AppId) => void;
|
||||
}
|
||||
|
||||
export default function Sidebar({ currentApp, onAppChange }: SidebarProps) {
|
||||
return (
|
||||
<aside className="sidebar">
|
||||
<div className="sidebar-header">
|
||||
<h1 className="sidebar-logo">🧬 Evolution</h1>
|
||||
<p className="sidebar-tagline">Mini-Apps</p>
|
||||
</div>
|
||||
|
||||
<nav className="sidebar-nav">
|
||||
{APPS.map((app) => (
|
||||
<button
|
||||
key={app.id}
|
||||
className={`nav-item ${currentApp === app.id ? 'active' : ''}`}
|
||||
onClick={() => onAppChange(app.id)}
|
||||
title={app.description}
|
||||
>
|
||||
<span className="nav-icon">{app.icon}</span>
|
||||
<span className="nav-name">{app.name}</span>
|
||||
</button>
|
||||
))}
|
||||
</nav>
|
||||
|
||||
<div className="sidebar-footer">
|
||||
<p className="footer-text">Select an app to begin</p>
|
||||
</div>
|
||||
</aside>
|
||||
);
|
||||
}
|
||||
55
src/index.css
Normal file
55
src/index.css
Normal file
@@ -0,0 +1,55 @@
|
||||
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
|
||||
|
||||
:root {
|
||||
/* Color palette - lighter, less dark */
|
||||
--primary: #6366f1;
|
||||
--primary-dark: #4f46e5;
|
||||
--primary-light: #818cf8;
|
||||
--accent: #8b5cf6;
|
||||
--bg-dark: #1a1a2e;
|
||||
--bg-darker: #0f1729;
|
||||
--bg-card: rgba(255, 255, 255, 0.05);
|
||||
--text-primary: rgba(255, 255, 255, 0.95);
|
||||
--text-secondary: rgba(255, 255, 255, 0.7);
|
||||
--text-muted: rgba(255, 255, 255, 0.5);
|
||||
--border-color: rgba(255, 255, 255, 0.12);
|
||||
|
||||
/* Typography */
|
||||
font-family: 'Inter', system-ui, -apple-system, sans-serif;
|
||||
line-height: 1.6;
|
||||
font-weight: 400;
|
||||
color: var(--text-primary);
|
||||
|
||||
/* Rendering */
|
||||
font-synthesis: none;
|
||||
text-rendering: optimizeLegibility;
|
||||
-webkit-font-smoothing: antialiased;
|
||||
-moz-osx-font-smoothing: grayscale;
|
||||
}
|
||||
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
background: var(--bg-dark);
|
||||
color: var(--text-primary);
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
#root {
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
}
|
||||
|
||||
button {
|
||||
font-family: inherit;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
input {
|
||||
font-family: inherit;
|
||||
}
|
||||
61
src/lib/imageApprox/evolution.ts
Normal file
61
src/lib/imageApprox/evolution.ts
Normal file
@@ -0,0 +1,61 @@
|
||||
import type { Genome } from './genome';
|
||||
import { mutateGenome } from './mutation';
|
||||
import { renderGenome } from './renderer';
|
||||
import { calculateFitness } from './fitness';
|
||||
|
||||
export interface EvolutionConfig {
|
||||
width: number;
|
||||
height: number;
|
||||
mutationStrength: number;
|
||||
childrenCount: number;
|
||||
sampleStep: number;
|
||||
}
|
||||
|
||||
export interface EvolutionResult {
|
||||
genome: Genome;
|
||||
fitness: number;
|
||||
improved: boolean;
|
||||
}
|
||||
|
||||
export function evolve(
|
||||
parent: Genome,
|
||||
parentFitness: number,
|
||||
targetData: ImageData,
|
||||
config: EvolutionConfig,
|
||||
offscreenCanvas: HTMLCanvasElement
|
||||
): EvolutionResult {
|
||||
const ctx = offscreenCanvas.getContext('2d');
|
||||
if (!ctx) {
|
||||
return { genome: parent, fitness: parentFitness, improved: false };
|
||||
}
|
||||
|
||||
let bestGenome = parent;
|
||||
let bestFitness = parentFitness;
|
||||
let improved = false;
|
||||
|
||||
// Generate and evaluate λ (lambda) children
|
||||
for (let i = 0; i < config.childrenCount; i++) {
|
||||
const child = mutateGenome(
|
||||
parent,
|
||||
config.mutationStrength,
|
||||
config.width,
|
||||
config.height
|
||||
);
|
||||
|
||||
// Render child to offscreen canvas
|
||||
renderGenome(ctx, child, config.width, config.height);
|
||||
const childData = ctx.getImageData(0, 0, config.width, config.height);
|
||||
|
||||
// Evaluate fitness
|
||||
const childFitness = calculateFitness(targetData, childData, config.sampleStep);
|
||||
|
||||
// Keep if better (lower error)
|
||||
if (childFitness < bestFitness) {
|
||||
bestGenome = child;
|
||||
bestFitness = childFitness;
|
||||
improved = true;
|
||||
}
|
||||
}
|
||||
|
||||
return { genome: bestGenome, fitness: bestFitness, improved };
|
||||
}
|
||||
29
src/lib/imageApprox/fitness.ts
Normal file
29
src/lib/imageApprox/fitness.ts
Normal file
@@ -0,0 +1,29 @@
|
||||
/**
|
||||
* Calculate fitness using mean squared error on RGB channels
|
||||
* @param targetData - ImageData from target image
|
||||
* @param candidateData - ImageData from candidate genome
|
||||
* @param sampleStep - Sample every N pixels for performance (1 = sample all)
|
||||
* @returns Fitness score (lower is better)
|
||||
*/
|
||||
export function calculateFitness(
|
||||
targetData: ImageData,
|
||||
candidateData: ImageData,
|
||||
sampleStep: number = 1
|
||||
): number {
|
||||
const target = targetData.data;
|
||||
const candidate = candidateData.data;
|
||||
|
||||
let totalError = 0;
|
||||
let sampleCount = 0;
|
||||
|
||||
for (let i = 0; i < target.length; i += 4 * sampleStep) {
|
||||
const rDiff = target[i] - candidate[i];
|
||||
const gDiff = target[i + 1] - candidate[i + 1];
|
||||
const bDiff = target[i + 2] - candidate[i + 2];
|
||||
|
||||
totalError += rDiff * rDiff + gDiff * gDiff + bDiff * bDiff;
|
||||
sampleCount++;
|
||||
}
|
||||
|
||||
return totalError / sampleCount;
|
||||
}
|
||||
43
src/lib/imageApprox/genome.ts
Normal file
43
src/lib/imageApprox/genome.ts
Normal file
@@ -0,0 +1,43 @@
|
||||
export interface Triangle {
|
||||
x1: number;
|
||||
y1: number;
|
||||
x2: number;
|
||||
y2: number;
|
||||
x3: number;
|
||||
y3: number;
|
||||
r: number;
|
||||
g: number;
|
||||
b: number;
|
||||
a: number;
|
||||
}
|
||||
|
||||
export type Genome = Triangle[];
|
||||
|
||||
export function createRandomGenome(
|
||||
width: number,
|
||||
height: number,
|
||||
count: number
|
||||
): Genome {
|
||||
const genome: Genome = [];
|
||||
|
||||
for (let i = 0; i < count; i++) {
|
||||
genome.push({
|
||||
x1: Math.random() * width,
|
||||
y1: Math.random() * height,
|
||||
x2: Math.random() * width,
|
||||
y2: Math.random() * height,
|
||||
x3: Math.random() * width,
|
||||
y3: Math.random() * height,
|
||||
r: Math.floor(Math.random() * 256),
|
||||
g: Math.floor(Math.random() * 256),
|
||||
b: Math.floor(Math.random() * 256),
|
||||
a: Math.random(),
|
||||
});
|
||||
}
|
||||
|
||||
return genome;
|
||||
}
|
||||
|
||||
export function cloneGenome(genome: Genome): Genome {
|
||||
return genome.map((triangle) => ({ ...triangle }));
|
||||
}
|
||||
85
src/lib/imageApprox/mutation.ts
Normal file
85
src/lib/imageApprox/mutation.ts
Normal file
@@ -0,0 +1,85 @@
|
||||
import type { Genome, Triangle } from './genome';
|
||||
import { cloneGenome } from './genome';
|
||||
|
||||
function clamp(value: number, min: number, max: number): number {
|
||||
return Math.max(min, Math.min(max, value));
|
||||
}
|
||||
|
||||
function mutateTriangle(
|
||||
triangle: Triangle,
|
||||
strength: number,
|
||||
width: number,
|
||||
height: number
|
||||
): Triangle {
|
||||
const mutated = { ...triangle };
|
||||
|
||||
// Occasionally replace entire triangle (15% chance - increased from 10%)
|
||||
if (Math.random() < 0.15) {
|
||||
return {
|
||||
x1: Math.random() * width,
|
||||
y1: Math.random() * height,
|
||||
x2: Math.random() * width,
|
||||
y2: Math.random() * height,
|
||||
x3: Math.random() * width,
|
||||
y3: Math.random() * height,
|
||||
r: Math.floor(Math.random() * 256),
|
||||
g: Math.floor(Math.random() * 256),
|
||||
b: Math.floor(Math.random() * 256),
|
||||
a: Math.random(),
|
||||
};
|
||||
}
|
||||
|
||||
// Otherwise, perturb existing values
|
||||
const mutationType = Math.random();
|
||||
|
||||
if (mutationType < 0.5) {
|
||||
// Mutate vertex positions - allow bigger jumps
|
||||
const vertexChoice = Math.floor(Math.random() * 3);
|
||||
// Occasional large jump (20% of the time)
|
||||
const multiplier = Math.random() < 0.2 ? 30 : 15;
|
||||
const delta = (Math.random() - 0.5) * 2 * strength * multiplier;
|
||||
|
||||
if (vertexChoice === 0) {
|
||||
mutated.x1 = clamp(mutated.x1 + delta, 0, width);
|
||||
mutated.y1 = clamp(mutated.y1 + delta, 0, height);
|
||||
} else if (vertexChoice === 1) {
|
||||
mutated.x2 = clamp(mutated.x2 + delta, 0, width);
|
||||
mutated.y2 = clamp(mutated.y2 + delta, 0, height);
|
||||
} else {
|
||||
mutated.x3 = clamp(mutated.x3 + delta, 0, width);
|
||||
mutated.y3 = clamp(mutated.y3 + delta, 0, height);
|
||||
}
|
||||
} else {
|
||||
// Mutate color/alpha - more aggressive
|
||||
const colorMultiplier = Math.random() < 0.2 ? 100 : 50;
|
||||
const colorDelta = (Math.random() - 0.5) * 2 * strength * colorMultiplier;
|
||||
const colorChoice = Math.floor(Math.random() * 4);
|
||||
|
||||
if (colorChoice === 0) {
|
||||
mutated.r = clamp(Math.floor(mutated.r + colorDelta), 0, 255);
|
||||
} else if (colorChoice === 1) {
|
||||
mutated.g = clamp(Math.floor(mutated.g + colorDelta), 0, 255);
|
||||
} else if (colorChoice === 2) {
|
||||
mutated.b = clamp(Math.floor(mutated.b + colorDelta), 0, 255);
|
||||
} else {
|
||||
mutated.a = clamp(mutated.a + (Math.random() - 0.5) * 2 * strength * 0.3, 0, 1);
|
||||
}
|
||||
}
|
||||
|
||||
return mutated;
|
||||
}
|
||||
|
||||
export function mutateGenome(
|
||||
genome: Genome,
|
||||
strength: number,
|
||||
width: number,
|
||||
height: number
|
||||
): Genome {
|
||||
const mutated = cloneGenome(genome);
|
||||
|
||||
// Randomly select one triangle to mutate
|
||||
const index = Math.floor(Math.random() * mutated.length);
|
||||
mutated[index] = mutateTriangle(mutated[index], strength, width, height);
|
||||
|
||||
return mutated;
|
||||
}
|
||||
24
src/lib/imageApprox/renderer.ts
Normal file
24
src/lib/imageApprox/renderer.ts
Normal file
@@ -0,0 +1,24 @@
|
||||
import type { Genome } from './genome';
|
||||
|
||||
export function renderGenome(
|
||||
ctx: CanvasRenderingContext2D,
|
||||
genome: Genome,
|
||||
width: number,
|
||||
height: number
|
||||
): void {
|
||||
// Clear canvas
|
||||
ctx.fillStyle = '#000';
|
||||
ctx.fillRect(0, 0, width, height);
|
||||
|
||||
// Draw each triangle
|
||||
for (const triangle of genome) {
|
||||
ctx.beginPath();
|
||||
ctx.moveTo(triangle.x1, triangle.y1);
|
||||
ctx.lineTo(triangle.x2, triangle.y2);
|
||||
ctx.lineTo(triangle.x3, triangle.y3);
|
||||
ctx.closePath();
|
||||
|
||||
ctx.fillStyle = `rgba(${triangle.r}, ${triangle.g}, ${triangle.b}, ${triangle.a})`;
|
||||
ctx.fill();
|
||||
}
|
||||
}
|
||||
234
src/lib/snakeAI/evolution.ts
Normal file
234
src/lib/snakeAI/evolution.ts
Normal file
@@ -0,0 +1,234 @@
|
||||
import { createNetwork, cloneNetwork, getAction, type Network } from './network';
|
||||
import { createGame, step, getInputs, calculateFitness, type GameState } from './game';
|
||||
import type { EvolutionConfig } from './types';
|
||||
|
||||
export interface Individual {
|
||||
network: Network;
|
||||
fitness: number;
|
||||
game: GameState;
|
||||
}
|
||||
|
||||
export interface Population {
|
||||
individuals: Individual[];
|
||||
generation: number;
|
||||
bestFitnessEver: number;
|
||||
bestNetworkEver: Network | null;
|
||||
}
|
||||
|
||||
export function createPopulation(config: EvolutionConfig): Population {
|
||||
const individuals: Individual[] = [];
|
||||
|
||||
for (let i = 0; i < config.populationSize; i++) {
|
||||
individuals.push({
|
||||
network: createNetwork(),
|
||||
fitness: 0,
|
||||
game: createGame(config.gridSize),
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
individuals,
|
||||
generation: 1,
|
||||
bestFitnessEver: 0,
|
||||
bestNetworkEver: null,
|
||||
};
|
||||
}
|
||||
|
||||
export function evaluatePopulation(
|
||||
population: Population,
|
||||
config: EvolutionConfig
|
||||
): Population {
|
||||
// Create a working copy of individuals to avoid mutating state
|
||||
const evaluatedIndividuals = population.individuals.map(ind => ({ ...ind }));
|
||||
|
||||
// Play each individual's game to completion or max steps
|
||||
for (const individual of evaluatedIndividuals) {
|
||||
let game = individual.game;
|
||||
|
||||
while (game.alive && game.steps < config.maxGameSteps) {
|
||||
const inputs = getInputs(game);
|
||||
const action = getAction(individual.network, inputs);
|
||||
game = step(game, action);
|
||||
}
|
||||
|
||||
individual.game = game;
|
||||
individual.fitness = calculateFitness(game);
|
||||
}
|
||||
|
||||
// Update best ever
|
||||
let newBestEver = population.bestFitnessEver;
|
||||
let newBestNetwork = population.bestNetworkEver;
|
||||
|
||||
for (const individual of evaluatedIndividuals) {
|
||||
if (individual.fitness > newBestEver) {
|
||||
newBestEver = individual.fitness;
|
||||
newBestNetwork = cloneNetwork(individual.network);
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
...population,
|
||||
individuals: evaluatedIndividuals,
|
||||
bestFitnessEver: newBestEver,
|
||||
bestNetworkEver: newBestNetwork,
|
||||
};
|
||||
}
|
||||
|
||||
export function evolveGeneration(
|
||||
population: Population,
|
||||
config: EvolutionConfig
|
||||
): Population {
|
||||
// Sort by fitness (descending)
|
||||
const sorted = [...population.individuals].sort((a, b) => b.fitness - a.fitness);
|
||||
|
||||
const newIndividuals: Individual[] = [];
|
||||
|
||||
// Elite preservation (top performers survive unchanged)
|
||||
for (let i = 0; i < config.eliteCount; i++) {
|
||||
newIndividuals.push({
|
||||
network: cloneNetwork(sorted[i].network),
|
||||
fitness: 0,
|
||||
game: createGame(config.gridSize),
|
||||
});
|
||||
}
|
||||
|
||||
// Fill rest with offspring
|
||||
while (newIndividuals.length < config.populationSize) {
|
||||
const parent1 = selectParent(sorted);
|
||||
const parent2 = selectParent(sorted);
|
||||
|
||||
let childNetwork: Network;
|
||||
|
||||
if (Math.random() < 0.7) {
|
||||
// 70% chance of crossover
|
||||
childNetwork = crossover(parent1.network, parent2.network);
|
||||
} else {
|
||||
// 30% chance of just cloning
|
||||
childNetwork = cloneNetwork(parent1.network);
|
||||
}
|
||||
|
||||
// Mutate
|
||||
childNetwork = mutate(childNetwork, config.mutationRate);
|
||||
|
||||
newIndividuals.push({
|
||||
network: childNetwork,
|
||||
fitness: 0,
|
||||
game: createGame(config.gridSize),
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
individuals: newIndividuals,
|
||||
generation: population.generation + 1,
|
||||
bestFitnessEver: population.bestFitnessEver,
|
||||
bestNetworkEver: population.bestNetworkEver,
|
||||
};
|
||||
}
|
||||
|
||||
function selectParent(sorted: Individual[]): Individual {
|
||||
// Tournament selection: pick best of 3 random individuals
|
||||
const tournamentSize = 3;
|
||||
let best = sorted[Math.floor(Math.random() * Math.min(sorted.length, 20))];
|
||||
|
||||
for (let i = 1; i < tournamentSize; i++) {
|
||||
const competitor = sorted[Math.floor(Math.random() * Math.min(sorted.length, 20))];
|
||||
if (competitor.fitness > best.fitness) {
|
||||
best = competitor;
|
||||
}
|
||||
}
|
||||
|
||||
return best;
|
||||
}
|
||||
|
||||
function crossover(parent1: Network, parent2: Network): Network {
|
||||
const child = cloneNetwork(parent1);
|
||||
|
||||
// Single-point crossover on weights and biases
|
||||
const crossoverRate = 0.5;
|
||||
|
||||
// Crossover input-hidden weights
|
||||
for (let i = 0; i < child.weightsIH.length; i++) {
|
||||
for (let j = 0; j < child.weightsIH[i].length; j++) {
|
||||
if (Math.random() < crossoverRate) {
|
||||
child.weightsIH[i][j] = parent2.weightsIH[i][j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Crossover hidden-output weights
|
||||
for (let i = 0; i < child.weightsHO.length; i++) {
|
||||
for (let j = 0; j < child.weightsHO[i].length; j++) {
|
||||
if (Math.random() < crossoverRate) {
|
||||
child.weightsHO[i][j] = parent2.weightsHO[i][j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Crossover biases
|
||||
for (let i = 0; i < child.biasH.length; i++) {
|
||||
if (Math.random() < crossoverRate) {
|
||||
child.biasH[i] = parent2.biasH[i];
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < child.biasO.length; i++) {
|
||||
if (Math.random() < crossoverRate) {
|
||||
child.biasO[i] = parent2.biasO[i];
|
||||
}
|
||||
}
|
||||
|
||||
return child;
|
||||
}
|
||||
|
||||
function mutate(network: Network, mutationRate: number): Network {
|
||||
const mutated = cloneNetwork(network);
|
||||
|
||||
// Mutate input-hidden weights
|
||||
for (let i = 0; i < mutated.weightsIH.length; i++) {
|
||||
for (let j = 0; j < mutated.weightsIH[i].length; j++) {
|
||||
if (Math.random() < mutationRate) {
|
||||
mutated.weightsIH[i][j] += (Math.random() * 2 - 1) * 0.5;
|
||||
// Clamp to reasonable range
|
||||
mutated.weightsIH[i][j] = Math.max(-2, Math.min(2, mutated.weightsIH[i][j]));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Mutate hidden-output weights
|
||||
for (let i = 0; i < mutated.weightsHO.length; i++) {
|
||||
for (let j = 0; j < mutated.weightsHO[i].length; j++) {
|
||||
if (Math.random() < mutationRate) {
|
||||
mutated.weightsHO[i][j] += (Math.random() * 2 - 1) * 0.5;
|
||||
mutated.weightsHO[i][j] = Math.max(-2, Math.min(2, mutated.weightsHO[i][j]));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Mutate biases
|
||||
for (let i = 0; i < mutated.biasH.length; i++) {
|
||||
if (Math.random() < mutationRate) {
|
||||
mutated.biasH[i] += (Math.random() * 2 - 1) * 0.5;
|
||||
mutated.biasH[i] = Math.max(-2, Math.min(2, mutated.biasH[i]));
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < mutated.biasO.length; i++) {
|
||||
if (Math.random() < mutationRate) {
|
||||
mutated.biasO[i] += (Math.random() * 2 - 1) * 0.5;
|
||||
mutated.biasO[i] = Math.max(-2, Math.min(2, mutated.biasO[i]));
|
||||
}
|
||||
}
|
||||
|
||||
return mutated;
|
||||
}
|
||||
|
||||
export function getBestIndividual(population: Population): Individual {
|
||||
return population.individuals.reduce((best, current) =>
|
||||
current.fitness > best.fitness ? current : best
|
||||
);
|
||||
}
|
||||
|
||||
export function getAverageFitness(population: Population): number {
|
||||
const sum = population.individuals.reduce((acc, ind) => acc + ind.fitness, 0);
|
||||
return sum / population.individuals.length;
|
||||
}
|
||||
179
src/lib/snakeAI/game.ts
Normal file
179
src/lib/snakeAI/game.ts
Normal file
@@ -0,0 +1,179 @@
|
||||
import { Direction, Action, type Position } from './types';
|
||||
|
||||
export interface GameState {
|
||||
snake: Position[];
|
||||
food: Position;
|
||||
direction: Direction;
|
||||
score: number;
|
||||
steps: number;
|
||||
stepsSinceLastFood: number;
|
||||
alive: boolean;
|
||||
gridSize: number;
|
||||
}
|
||||
|
||||
export function createGame(gridSize: number = 20): GameState {
|
||||
const center = Math.floor(gridSize / 2);
|
||||
return {
|
||||
snake: [
|
||||
{ x: center, y: center },
|
||||
{ x: center - 1, y: center },
|
||||
{ x: center - 2, y: center },
|
||||
],
|
||||
food: spawnFood(gridSize, [
|
||||
{ x: center, y: center },
|
||||
{ x: center - 1, y: center },
|
||||
{ x: center - 2, y: center },
|
||||
]),
|
||||
direction: Direction.RIGHT,
|
||||
score: 0,
|
||||
steps: 0,
|
||||
stepsSinceLastFood: 0,
|
||||
alive: true,
|
||||
gridSize,
|
||||
};
|
||||
}
|
||||
|
||||
export function step(state: GameState, action: Action): GameState {
|
||||
if (!state.alive) return state;
|
||||
|
||||
const STARVATION_LIMIT = 200; // Die if no food for 200 steps
|
||||
|
||||
// Update direction based on action (turn left/right or go straight)
|
||||
const newDirection = (state.direction + action + 4) % 4;
|
||||
|
||||
// Calculate new head position
|
||||
const head = state.snake[0];
|
||||
let newHead: Position;
|
||||
|
||||
switch (newDirection) {
|
||||
case Direction.UP:
|
||||
newHead = { x: head.x, y: head.y - 1 };
|
||||
break;
|
||||
case Direction.DOWN:
|
||||
newHead = { x: head.x, y: head.y + 1 };
|
||||
break;
|
||||
case Direction.LEFT:
|
||||
newHead = { x: head.x - 1, y: head.y };
|
||||
break;
|
||||
case Direction.RIGHT:
|
||||
newHead = { x: head.x + 1, y: head.y };
|
||||
break;
|
||||
default:
|
||||
newHead = head;
|
||||
}
|
||||
|
||||
// Check wall collision
|
||||
if (
|
||||
newHead.x < 0 ||
|
||||
newHead.x >= state.gridSize ||
|
||||
newHead.y < 0 ||
|
||||
newHead.y >= state.gridSize
|
||||
) {
|
||||
return { ...state, alive: false, steps: state.steps + 1, stepsSinceLastFood: state.stepsSinceLastFood + 1 };
|
||||
}
|
||||
|
||||
// Check self-collision
|
||||
if (state.snake.some((seg) => seg.x === newHead.x && seg.y === newHead.y)) {
|
||||
return { ...state, alive: false, steps: state.steps + 1, stepsSinceLastFood: state.stepsSinceLastFood + 1 };
|
||||
}
|
||||
|
||||
// Check starvation (no food for too long)
|
||||
if (state.stepsSinceLastFood >= STARVATION_LIMIT) {
|
||||
return { ...state, alive: false, steps: state.steps + 1, stepsSinceLastFood: state.stepsSinceLastFood + 1 };
|
||||
}
|
||||
|
||||
// Create new snake body
|
||||
const newSnake = [newHead, ...state.snake];
|
||||
|
||||
// Check if food was eaten
|
||||
const ateFood = newHead.x === state.food.x && newHead.y === state.food.y;
|
||||
|
||||
if (ateFood) {
|
||||
// Grow snake, spawn new food, reset starvation counter
|
||||
return {
|
||||
...state,
|
||||
snake: newSnake,
|
||||
food: spawnFood(state.gridSize, newSnake),
|
||||
direction: newDirection,
|
||||
score: state.score + 1,
|
||||
steps: state.steps + 1,
|
||||
stepsSinceLastFood: 0,
|
||||
};
|
||||
} else {
|
||||
// Remove tail (no growth), increment starvation counter
|
||||
newSnake.pop();
|
||||
return {
|
||||
...state,
|
||||
snake: newSnake,
|
||||
direction: newDirection,
|
||||
steps: state.steps + 1,
|
||||
stepsSinceLastFood: state.stepsSinceLastFood + 1,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
function spawnFood(gridSize: number, snake: Position[]): Position {
|
||||
let food: Position;
|
||||
let attempts = 0;
|
||||
const maxAttempts = 1000;
|
||||
|
||||
do {
|
||||
food = {
|
||||
x: Math.floor(Math.random() * gridSize),
|
||||
y: Math.floor(Math.random() * gridSize),
|
||||
};
|
||||
attempts++;
|
||||
} while (
|
||||
attempts < maxAttempts &&
|
||||
snake.some((seg) => seg.x === food.x && seg.y === food.y)
|
||||
);
|
||||
|
||||
return food;
|
||||
}
|
||||
|
||||
export function getInputs(state: GameState): number[] {
|
||||
const head = state.snake[0];
|
||||
const food = state.food;
|
||||
|
||||
// 8 inputs for the neural network:
|
||||
// 4 food direction indicators (normalized -1 to 1)
|
||||
const foodDirX = (food.x - head.x) / state.gridSize;
|
||||
const foodDirY = (food.y - head.y) / state.gridSize;
|
||||
|
||||
// 4 danger sensors (1 if danger, 0 if safe)
|
||||
const dangerUp = isDanger(state, head.x, head.y - 1);
|
||||
const dangerDown = isDanger(state, head.x, head.y + 1);
|
||||
const dangerLeft = isDanger(state, head.x - 1, head.y);
|
||||
const dangerRight = isDanger(state, head.x + 1, head.y);
|
||||
|
||||
return [
|
||||
foodDirX,
|
||||
foodDirY,
|
||||
dangerUp ? 1 : 0,
|
||||
dangerDown ? 1 : 0,
|
||||
dangerLeft ? 1 : 0,
|
||||
dangerRight ? 1 : 0,
|
||||
state.direction / 3, // Normalized direction
|
||||
state.snake.length / (state.gridSize * state.gridSize), // Normalized length
|
||||
];
|
||||
}
|
||||
|
||||
function isDanger(state: GameState, x: number, y: number): boolean {
|
||||
// Check wall
|
||||
if (x < 0 || x >= state.gridSize || y < 0 || y >= state.gridSize) {
|
||||
return true;
|
||||
}
|
||||
// Check self-collision
|
||||
return state.snake.some((seg) => seg.x === x && seg.y === y);
|
||||
}
|
||||
|
||||
export function calculateFitness(state: GameState): number {
|
||||
// Fitness formula balancing food collection and survival
|
||||
const foodScore = state.score * 100;
|
||||
const survivalScore = state.steps;
|
||||
|
||||
// Bonus for longer snakes
|
||||
const lengthBonus = state.snake.length * 10;
|
||||
|
||||
return foodScore + survivalScore + lengthBonus;
|
||||
}
|
||||
110
src/lib/snakeAI/network.ts
Normal file
110
src/lib/snakeAI/network.ts
Normal file
@@ -0,0 +1,110 @@
|
||||
import { Action } from './types';
|
||||
|
||||
export interface Network {
|
||||
inputSize: number;
|
||||
hiddenSize: number;
|
||||
outputSize: number;
|
||||
weightsIH: number[][]; // Input to Hidden weights
|
||||
weightsHO: number[][]; // Hidden to Output weights
|
||||
biasH: number[]; // Hidden layer biases
|
||||
biasO: number[]; // Output layer biases
|
||||
}
|
||||
|
||||
export function createNetwork(
|
||||
inputSize: number = 8,
|
||||
hiddenSize: number = 12,
|
||||
outputSize: number = 3
|
||||
): Network {
|
||||
return {
|
||||
inputSize,
|
||||
hiddenSize,
|
||||
outputSize,
|
||||
weightsIH: createRandomMatrix(inputSize, hiddenSize),
|
||||
weightsHO: createRandomMatrix(hiddenSize, outputSize),
|
||||
biasH: createRandomArray(hiddenSize),
|
||||
biasO: createRandomArray(outputSize),
|
||||
};
|
||||
}
|
||||
|
||||
function createRandomMatrix(rows: number, cols: number): number[][] {
|
||||
const matrix: number[][] = [];
|
||||
for (let i = 0; i < rows; i++) {
|
||||
matrix[i] = [];
|
||||
for (let j = 0; j < cols; j++) {
|
||||
matrix[i][j] = Math.random() * 2 - 1; // Random between -1 and 1
|
||||
}
|
||||
}
|
||||
return matrix;
|
||||
}
|
||||
|
||||
function createRandomArray(size: number): number[] {
|
||||
const array: number[] = [];
|
||||
for (let i = 0; i < size; i++) {
|
||||
array[i] = Math.random() * 2 - 1;
|
||||
}
|
||||
return array;
|
||||
}
|
||||
|
||||
export function forward(network: Network, inputs: number[]): number[] {
|
||||
// Hidden layer activation
|
||||
const hidden: number[] = [];
|
||||
for (let h = 0; h < network.hiddenSize; h++) {
|
||||
let sum = network.biasH[h];
|
||||
for (let i = 0; i < network.inputSize; i++) {
|
||||
sum += inputs[i] * network.weightsIH[i][h];
|
||||
}
|
||||
hidden[h] = tanh(sum);
|
||||
}
|
||||
|
||||
// Output layer activation
|
||||
const outputs: number[] = [];
|
||||
for (let o = 0; o < network.outputSize; o++) {
|
||||
let sum = network.biasO[o];
|
||||
for (let h = 0; h < network.hiddenSize; h++) {
|
||||
sum += hidden[h] * network.weightsHO[h][o];
|
||||
}
|
||||
outputs[o] = tanh(sum);
|
||||
}
|
||||
|
||||
return outputs;
|
||||
}
|
||||
|
||||
function tanh(x: number): number {
|
||||
return Math.tanh(x);
|
||||
}
|
||||
|
||||
export function getAction(network: Network, inputs: number[]): Action {
|
||||
const outputs = forward(network, inputs);
|
||||
|
||||
// Find index of maximum output
|
||||
let maxIndex = 0;
|
||||
for (let i = 1; i < outputs.length; i++) {
|
||||
if (outputs[i] > outputs[maxIndex]) {
|
||||
maxIndex = i;
|
||||
}
|
||||
}
|
||||
|
||||
// Map output index to action
|
||||
switch (maxIndex) {
|
||||
case 0:
|
||||
return Action.TURN_LEFT;
|
||||
case 1:
|
||||
return Action.STRAIGHT;
|
||||
case 2:
|
||||
return Action.TURN_RIGHT;
|
||||
default:
|
||||
return Action.STRAIGHT;
|
||||
}
|
||||
}
|
||||
|
||||
export function cloneNetwork(network: Network): Network {
|
||||
return {
|
||||
inputSize: network.inputSize,
|
||||
hiddenSize: network.hiddenSize,
|
||||
outputSize: network.outputSize,
|
||||
weightsIH: network.weightsIH.map((row) => [...row]),
|
||||
weightsHO: network.weightsHO.map((row) => [...row]),
|
||||
biasH: [...network.biasH],
|
||||
biasO: [...network.biasO],
|
||||
};
|
||||
}
|
||||
29
src/lib/snakeAI/types.ts
Normal file
29
src/lib/snakeAI/types.ts
Normal file
@@ -0,0 +1,29 @@
|
||||
export type Direction = 0 | 1 | 2 | 3;
|
||||
|
||||
export const Direction = {
|
||||
UP: 0 as Direction,
|
||||
RIGHT: 1 as Direction,
|
||||
DOWN: 2 as Direction,
|
||||
LEFT: 3 as Direction,
|
||||
};
|
||||
|
||||
export type Action = -1 | 0 | 1;
|
||||
|
||||
export const Action = {
|
||||
TURN_LEFT: -1 as Action,
|
||||
STRAIGHT: 0 as Action,
|
||||
TURN_RIGHT: 1 as Action,
|
||||
};
|
||||
|
||||
export interface Position {
|
||||
x: number;
|
||||
y: number;
|
||||
}
|
||||
|
||||
export interface EvolutionConfig {
|
||||
populationSize: number;
|
||||
mutationRate: number;
|
||||
eliteCount: number;
|
||||
gridSize: number;
|
||||
maxGameSteps: number;
|
||||
}
|
||||
10
src/main.tsx
Normal file
10
src/main.tsx
Normal file
@@ -0,0 +1,10 @@
|
||||
import { StrictMode } from 'react'
|
||||
import { createRoot } from 'react-dom/client'
|
||||
import './index.css'
|
||||
import App from './App.tsx'
|
||||
|
||||
createRoot(document.getElementById('root')!).render(
|
||||
<StrictMode>
|
||||
<App />
|
||||
</StrictMode>,
|
||||
)
|
||||
28
tsconfig.app.json
Normal file
28
tsconfig.app.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
|
||||
"target": "ES2022",
|
||||
"useDefineForClassFields": true,
|
||||
"lib": ["ES2022", "DOM", "DOM.Iterable"],
|
||||
"module": "ESNext",
|
||||
"types": ["vite/client"],
|
||||
"skipLibCheck": true,
|
||||
|
||||
/* Bundler mode */
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"verbatimModuleSyntax": true,
|
||||
"moduleDetection": "force",
|
||||
"noEmit": true,
|
||||
"jsx": "react-jsx",
|
||||
|
||||
/* Linting */
|
||||
"strict": true,
|
||||
"noUnusedLocals": true,
|
||||
"noUnusedParameters": true,
|
||||
"erasableSyntaxOnly": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"noUncheckedSideEffectImports": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
7
tsconfig.json
Normal file
7
tsconfig.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"files": [],
|
||||
"references": [
|
||||
{ "path": "./tsconfig.app.json" },
|
||||
{ "path": "./tsconfig.node.json" }
|
||||
]
|
||||
}
|
||||
26
tsconfig.node.json
Normal file
26
tsconfig.node.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
|
||||
"target": "ES2023",
|
||||
"lib": ["ES2023"],
|
||||
"module": "ESNext",
|
||||
"types": ["node"],
|
||||
"skipLibCheck": true,
|
||||
|
||||
/* Bundler mode */
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"verbatimModuleSyntax": true,
|
||||
"moduleDetection": "force",
|
||||
"noEmit": true,
|
||||
|
||||
/* Linting */
|
||||
"strict": true,
|
||||
"noUnusedLocals": true,
|
||||
"noUnusedParameters": true,
|
||||
"erasableSyntaxOnly": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"noUncheckedSideEffectImports": true
|
||||
},
|
||||
"include": ["vite.config.ts"]
|
||||
}
|
||||
7
vite.config.ts
Normal file
7
vite.config.ts
Normal file
@@ -0,0 +1,7 @@
|
||||
import { defineConfig } from 'vite'
|
||||
import react from '@vitejs/plugin-react'
|
||||
|
||||
// https://vite.dev/config/
|
||||
export default defineConfig({
|
||||
plugins: [react()],
|
||||
})
|
||||
Reference in New Issue
Block a user