pax_global_header00006660000000000000000000000064146040017450014513gustar00rootroot0000000000000052 comment=9ba6c00a195c95fcf8292a2b9084d91450e5daae xtermjs-xterm.js-9ba6c00/000077500000000000000000000000001460400174500153655ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.devcontainer/000077500000000000000000000000001460400174500201245ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.devcontainer/devcontainer.json000066400000000000000000000006711460400174500235040ustar00rootroot00000000000000{ "name": "xterm.js", "image": "mcr.microsoft.com/devcontainers/typescript-node:0-18-buster", "features": { "ghcr.io/devcontainers/features/node:1": {} // yarn }, "forwardPorts": [ 3000 ], "postCreateCommand": "yarn install", "customizations": { "vscode": { "extensions": [ "dbaeumer.vscode-eslint", "editorconfig.editorconfig", "hbenl.vscode-mocha-test-adapter" ] } } } xtermjs-xterm.js-9ba6c00/.editorconfig000066400000000000000000000003471460400174500200460ustar00rootroot00000000000000root = true [*] indent_style = space indent_size = 2 insert_final_newline = true trim_trailing_whitespace = true end_of_line = lf [*.{j,t}s] max_line_length = 100 [*.css] indent_size = 4 [*.md] trim_trailing_whitespace = false xtermjs-xterm.js-9ba6c00/.eslintrc.json000066400000000000000000000174311460400174500201670ustar00rootroot00000000000000{ "env": { "browser": true, "es2021": true, "node": true }, "parser": "@typescript-eslint/parser", "parserOptions": { "project": [ "demo/tsconfig.json", "src/browser/tsconfig.json", "src/common/tsconfig.json", "src/headless/tsconfig.json", "test/api/tsconfig.json", "test/benchmark/tsconfig.json", "test/playwright/tsconfig.json", "addons/addon-attach/src/tsconfig.json", "addons/addon-attach/test/tsconfig.json", "addons/addon-canvas/src/tsconfig.json", "addons/addon-canvas/test/tsconfig.json", "addons/addon-fit/src/tsconfig.json", "addons/addon-fit/test/tsconfig.json", "addons/addon-image/src/tsconfig.json", "addons/addon-image/test/tsconfig.json", "addons/addon-ligatures/src/tsconfig.json", "addons/addon-search/src/tsconfig.json", "addons/addon-search/test/tsconfig.json", "addons/addon-serialize/src/tsconfig.json", "addons/addon-serialize/test/tsconfig.json", "addons/addon-serialize/benchmark/tsconfig.json", "addons/addon-unicode11/src/tsconfig.json", "addons/addon-unicode11/test/tsconfig.json", "addons/addon-unicode-graphemes/src/tsconfig.json", "addons/addon-unicode-graphemes/test/tsconfig.json", "addons/addon-unicode-graphemes/benchmark/tsconfig.json", "addons/addon-web-links/src/tsconfig.json", "addons/addon-web-links/test/tsconfig.json", "addons/addon-webgl/src/tsconfig.json", "addons/addon-webgl/test/tsconfig.json" ], "sourceType": "module" }, "ignorePatterns": [ "addons/*/src/third-party/*.ts", "out/*", "out-test/*", "**/inwasm-sdks/*", "**/typings/*.d.ts", "**/node_modules", "**/*.js" ], "plugins": [ "@typescript-eslint", "jsdoc" ], "rules": { "no-extra-semi": "error", "@typescript-eslint/array-type": [ "warn", { "default": "array", "readonly": "generic" } ], "@typescript-eslint/consistent-type-assertions": "warn", "@typescript-eslint/consistent-type-definitions": "warn", "@typescript-eslint/explicit-function-return-type": [ "warn", { "allowExpressions": true } ], "@typescript-eslint/explicit-member-accessibility": [ "warn", { "accessibility": "explicit", "overrides": { "constructors": "off" } } ], "@typescript-eslint/indent": [ "warn", 2 ], "@typescript-eslint/member-delimiter-style": [ "warn", { "multiline": { "delimiter": "semi", "requireLast": true }, "singleline": { "delimiter": "comma", "requireLast": false } } ], "@typescript-eslint/naming-convention": [ "warn", { "selector": "default", "format": ["camelCase"], "filter": { "regex": "^[a-z]", "match": true } }, // variableLike { "selector": "variable", "format": ["camelCase", "UPPER_CASE"] }, { "selector": "variable", "filter": "^I.+Service$", "format": ["PascalCase"], "prefix": ["I"] }, // memberLike { "selector": "memberLike", "modifiers": ["private"], "format": ["camelCase"], "leadingUnderscore": "require" }, { "selector": "memberLike", "modifiers": ["protected"], "format": ["camelCase"], "leadingUnderscore": "require" }, { "selector": "enumMember", "format": ["UPPER_CASE"] }, // memberLike - Allow enum-like objects to use UPPER_CASE { "selector": "property", "modifiers": ["public"], "format": ["camelCase", "UPPER_CASE"], "filter": { "regex": "^[a-z]", "match": true } }, // restrict on* naming for events only { "selector": "method", "modifiers": ["public"], "format": ["camelCase", "UPPER_CASE"], "custom": { "regex": "^on[A-Z].+", "match": false } }, { "selector": "method", "modifiers": ["private"], "format": ["camelCase"], "leadingUnderscore": "require", "custom": { "regex": "^on[A-Z].+", "match": false } }, { "selector": "method", "modifiers": ["protected"], "format": ["camelCase"], "leadingUnderscore": "require", "custom": { "regex": "^on[A-Z].+", "match": false } }, // typeLike { "selector": "typeLike", "format": ["PascalCase"] }, { "selector": "interface", "format": ["PascalCase"], "prefix": ["I"] } ], "@typescript-eslint/no-confusing-void-expression": [ "warn", { "ignoreArrowShorthand": true } ], "@typescript-eslint/no-useless-constructor": "warn", "@typescript-eslint/prefer-namespace-keyword": "warn", "@typescript-eslint/type-annotation-spacing": "warn", "@typescript-eslint/quotes": [ "warn", "single", { "allowTemplateLiterals": true } ], "@typescript-eslint/semi": [ "warn", "always" ], "comma-dangle": [ "warn", { "objects": "never", "arrays": "never", "functions": "never" } ], "curly": [ "warn", "multi-line" ], "eol-last": "warn", "eqeqeq": [ "warn", "always" ], "jsdoc/check-alignment": 1, "jsdoc/check-param-names": 1, "jsdoc/no-multi-asterisks": 1, "keyword-spacing": "warn", "max-len": [ "warn", { "code": 1000, // Don't enforce for code "comments": 100, "ignoreTrailingComments": true, "ignoreUrls": true, "ignorePattern": "^ *((?(//|\\*) @vt)|(?\\* \\| )|(?// ))" } ], "new-parens": "warn", "no-duplicate-imports": "warn", "no-else-return": [ "warn", { "allowElseIf": false } ], "no-eval": "warn", "no-irregular-whitespace": "warn", "no-restricted-imports": [ "warn", { "patterns": [ ".*\\/out\\/.*" ] } ], "no-restricted-syntax": [ "warn", { "selector": "CallExpression[callee.name='requestAnimationFrame']", "message": "The global requestAnimationFrame() should be avoided, call it on the parent window from ICoreBrowserService." }, { "selector": "CallExpression[callee.name='cancelAnimationFrame']", "message": "The global cancelAnimationFrame() should be avoided, call it on the parent window from ICoreBrowserService." }, { "selector": "CallExpression > MemberExpression[object.name='window'][property.name='requestAnimationFrame']", "message": "window.requestAnimationFrame() should be avoided, call it on the parent window from ICoreBrowserService." }, { "selector": "CallExpression > MemberExpression[object.name='window'][property.name='cancelAnimationFrame']", "message": "window.cancelAnimationFrame() should be avoided, call it on the parent window from ICoreBrowserService." }, { "selector": "MemberExpression[object.name='window'][property.name='devicePixelRatio']", "message": "window.devicePixelRatio should be avoided, get it from ICoreBrowserService." } ], "no-trailing-spaces": "warn", "no-unsafe-finally": "warn", "no-unused-vars": ["warn", { "vars": "all", "args": "none" }], "no-var": "warn", "one-var": [ "warn", "never" ], "object-curly-spacing": [ "warn", "always" ], "prefer-const": "warn", "spaced-comment": [ "warn", "always", { "markers": ["/"], "exceptions": ["-"] } ] }, "overrides": [ { "files": [ "**/*.api.ts", "**/*.test.ts" ], "rules": { "object-curly-spacing": "off", "max-len": "off", "no-unused-vars": "off" } } ] } xtermjs-xterm.js-9ba6c00/.eslintrc.json.typings000066400000000000000000000042071460400174500216600ustar00rootroot00000000000000{ "env": { "browser": true, "es2021": true, "node": true }, "parser": "@typescript-eslint/parser", "plugins": [ "@typescript-eslint", "jsdoc" ], "rules": { "no-extra-semi": "error", "@typescript-eslint/array-type": [ "warn", { "default": "array", "readonly": "generic" } ], "@typescript-eslint/explicit-function-return-type": [ "warn", { "allowExpressions": true } ], "@typescript-eslint/indent": [ "warn", 2 ], "@typescript-eslint/member-delimiter-style": [ "warn", { "multiline": { "delimiter": "semi", "requireLast": true }, "singleline": { "delimiter": "comma", "requireLast": false } } ], "@typescript-eslint/naming-convention": [ "warn", { "selector": "typeLike", "format": ["PascalCase"] }, { "selector": "interface", "format": ["PascalCase"], "prefix": ["I"] } ], "@typescript-eslint/prefer-namespace-keyword": "warn", "@typescript-eslint/type-annotation-spacing": "warn", "@typescript-eslint/quotes": [ "warn", "single", { "allowTemplateLiterals": true } ], "@typescript-eslint/semi": [ "warn", "always" ], "comma-dangle": [ "warn", { "objects": "never", "arrays": "never", "functions": "never" } ], "curly": [ "warn", "multi-line" ], "eol-last": "warn", "eqeqeq": [ "warn", "always" ], "jsdoc/check-alignment": 1, "jsdoc/check-param-names": 1, "keyword-spacing": "warn", "max-len": [ "warn", { "code": 1000, // Don't enforce for code "comments": 80, "ignoreUrls": true, "ignorePattern": "^ *(?\\* Ps=)" } ], "no-irregular-whitespace": "warn", "no-trailing-spaces": "warn", "object-curly-spacing": [ "warn", "always" ], "spaced-comment": [ "warn", "always", { "markers": ["/"], "exceptions": ["-"] } ] } } xtermjs-xterm.js-9ba6c00/.gitattributes000066400000000000000000000000141460400174500202530ustar00rootroot00000000000000* text=auto xtermjs-xterm.js-9ba6c00/.github/000077500000000000000000000000001460400174500167255ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.github/ISSUE_TEMPLATE/000077500000000000000000000000001460400174500211105ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.github/ISSUE_TEMPLATE/bug_report.md000066400000000000000000000004311460400174500236000ustar00rootroot00000000000000--- name: Bug report about: Create a bug report --- ## Details - Browser and browser version: - OS version: - xterm.js version: ### Steps to reproduce 1. 2. xtermjs-xterm.js-9ba6c00/.github/ISSUE_TEMPLATE/config.yml000066400000000000000000000005421460400174500231010ustar00rootroot00000000000000blank_issues_enabled: false contact_links: - name: FAQ url: https://github.com/xtermjs/xterm.js/wiki/FAQ about: See our frequently asked questions before filing a bug report - name: Support / Q&A url: https://github.com/xtermjs/xterm.js/discussions/categories/q-a about: Use GitHub Discussions for community support and general Q&A xtermjs-xterm.js-9ba6c00/.github/ISSUE_TEMPLATE/feature_request.md000066400000000000000000000003021460400174500246300ustar00rootroot00000000000000--- name: Feature request about: Suggest a feature or enhancement --- xtermjs-xterm.js-9ba6c00/.github/workflows/000077500000000000000000000000001460400174500207625ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.github/workflows/ci.yml000066400000000000000000000222661460400174500221100ustar00rootroot00000000000000name: CI on: push: branches: [ "master" ] pull_request: branches: [ "master" ] jobs: build: runs-on: ubuntu-latest timeout-minutes: 10 steps: - uses: actions/checkout@v3 - name: Use Node.js 18.x uses: actions/setup-node@v3 with: node-version: 18.x cache: 'yarn' - name: Install dependencies run: yarn --frozen-lockfile - name: Build run: yarn setup - name: Zip artifacts run: | zip -r compressed-build \ ./out/* \ ./out-test/* \ ./addons/addon-attach/out/* \ ./addons/addon-attach/out-test/* \ ./addons/addon-canvas/out/* \ ./addons/addon-canvas/out-test/* \ ./addons/addon-fit/out/* \ ./addons/addon-fit/out-test/* \ ./addons/addon-image/out/* \ ./addons/addon-image/out-test/* \ ./addons/addon-ligatures/out/* \ ./addons/addon-ligatures/out-test/* \ ./addons/addon-search/out/* \ ./addons/addon-search/out-test/* \ ./addons/addon-serialize/out/* \ ./addons/addon-serialize/out-test/* \ ./addons/addon-unicode11/out/* \ ./addons/addon-unicode11/out-test/* \ ./addons/addon-unicode-graphemes/out/* \ ./addons/addon-unicode-graphemes/out-test/* \ ./addons/addon-web-links/out/* \ ./addons/addon-web-links/out-test/* \ ./addons/addon-webgl/out/* \ ./addons/addon-webgl/out-test/* - name: Upload artifacts uses: actions/upload-artifact@v3 with: name: build-artifacts path: compressed-build.zip if-no-files-found: error lint: runs-on: ubuntu-latest timeout-minutes: 10 steps: - uses: actions/checkout@v3 - name: Use Node.js 18.x uses: actions/setup-node@v3 with: node-version: 18.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Lint code env: NODE_OPTIONS: --max_old_space_size=4096 run: yarn lint - name: Lint API run: yarn lint-api test-unit-coverage: needs: build runs-on: ubuntu-latest timeout-minutes: 10 steps: - uses: actions/checkout@v3 - name: Use Node.js 18.x uses: actions/setup-node@v3 with: node-version: 18.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Unit test coverage run: | yarn test-unit-coverage --forbid-only EXIT_CODE=$? ./node_modules/.bin/nyc report --reporter=cobertura exit $EXIT_CODE test-unit-parallel: timeout-minutes: 20 strategy: matrix: node-version: [18] runs-on: [ubuntu, macos, windows] runs-on: ${{ matrix.runs-on }}-latest steps: - uses: actions/checkout@v3 - name: Use Node.js ${{ matrix.node-version }}.x uses: actions/setup-node@v3 with: node-version: ${{ matrix.node-version }}.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Wait for build job uses: NathanFirmo/wait-for-other-job@v1.1.1 with: token: ${{ secrets.GITHUB_TOKEN }} job: build - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Unit tests run: yarn test-unit --forbid-only test-api-parallel: timeout-minutes: 20 strategy: matrix: node-version: [18] # just one as integration tests are about testing in browser runs-on: [ubuntu] # macos is flaky browser: [chromium, firefox] runs-on: ${{ matrix.runs-on }}-latest steps: - uses: actions/checkout@v3 - name: Use Node.js ${{ matrix.node-version }}.x uses: actions/setup-node@v3 with: node-version: ${{ matrix.node-version }}.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Install playwright run: npx playwright install - name: Wait for build job uses: NathanFirmo/wait-for-other-job@v1.1.1 with: token: ${{ secrets.GITHUB_TOKEN }} job: build - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Integration tests (${{ matrix.browser }}) run: yarn test-api-${{ matrix.browser }} --headless --forbid-only test-playwright-parallel: timeout-minutes: 20 strategy: matrix: node-version: [18] # just one as integration tests are about testing in browser runs-on: [ubuntu] # macos is flaky browser: [chromium, firefox, webkit] runs-on: ${{ matrix.runs-on }}-latest steps: - uses: actions/checkout@v3 - name: Use Node.js ${{ matrix.node-version }}.x uses: actions/setup-node@v3 with: node-version: ${{ matrix.node-version }}.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Install playwright run: npx playwright install --with-deps ${{ matrix.browser }} - name: Wait for build job uses: NathanFirmo/wait-for-other-job@v1.1.1 with: token: ${{ secrets.GITHUB_TOKEN }} job: build - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Build demo run: yarn build-demo - name: Integration tests (core) # Tests use 50% workers to reduce flakiness run: yarn test-playwright-${{ matrix.browser }} --workers=50% --forbid-only --suite=core - name: Integration tests (addon-canvas) run: yarn test-playwright-${{ matrix.browser }} --workers=50% --forbid-only --suite=addon-canvas - name: Integration tests (addon-webgl) run: yarn test-playwright-${{ matrix.browser }} --workers=50% --forbid-only --suite=addon-webgl test-api: needs: build timeout-minutes: 20 strategy: matrix: node-version: [18] # just one as integration tests are about testing in browser runs-on: [windows] # macos is flaky browser: [chromium, firefox] runs-on: ${{ matrix.runs-on }}-latest steps: - uses: actions/checkout@v3 - name: Use Node.js ${{ matrix.node-version }}.x uses: actions/setup-node@v3 with: node-version: ${{ matrix.node-version }}.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Install playwright run: npx playwright install - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Integration tests (${{ matrix.browser }}) run: yarn test-api-${{ matrix.browser }} --headless --forbid-only release-dry-run: needs: build runs-on: ubuntu-latest strategy: matrix: node-version: [18] steps: - uses: actions/checkout@v3 - name: Use Node.js ${{ matrix.node-version }}.x uses: actions/setup-node@v3 with: node-version: ${{ matrix.node-version }}.x cache: 'yarn' - name: Install dependencies run: | yarn --frozen-lockfile yarn install-addons - name: Install playwright run: npx playwright install - uses: actions/download-artifact@v3 with: name: build-artifacts - name: Unzip artifacts shell: bash run: | if [ "$RUNNER_OS" == "Windows" ]; then pwsh -Command "7z x compressed-build.zip -aoa -o${{ github.workspace }}" else unzip -o compressed-build.zip fi ls -R - name: Package headless run: | yarn package-headless node ./bin/package_headless.js - name: Publish to npm (dry run) run: node ./bin/publish.js --dry xtermjs-xterm.js-9ba6c00/.github/workflows/codeql-analysis.yml000066400000000000000000000013221460400174500245730ustar00rootroot00000000000000name: "CodeQL" on: push: branches: [ "master" ] pull_request: branches: [ "master" ] schedule: - cron: '41 17 * * 0' jobs: analyze: name: Analyze runs-on: ubuntu-latest permissions: actions: read contents: read security-events: write strategy: fail-fast: false matrix: language: [ 'javascript' ] steps: - name: Checkout repository uses: actions/checkout@v3 - name: Initialize CodeQL uses: github/codeql-action/init@v2 with: languages: ${{ matrix.language }} - name: Autobuild uses: github/codeql-action/autobuild@v2 - name: Perform CodeQL Analysis uses: github/codeql-action/analyze@v2 xtermjs-xterm.js-9ba6c00/.github/workflows/release.yml000066400000000000000000000013351460400174500231270ustar00rootroot00000000000000name: Release on: push: # If a commit reaches master, assume it has passed CI via PR and publish # without running tests to save time to publish branches: [ "master" ] jobs: release: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Use Node.js 18.x uses: actions/setup-node@v3 with: node-version: 18.x cache: 'yarn' - name: Install dependencies run: yarn --frozen-lockfile - name: Build run: yarn setup - name: Package headless run: | yarn package-headless node ./bin/package_headless.js - name: Publish to npm env: NPM_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }} run: node ./bin/publish.js xtermjs-xterm.js-9ba6c00/.gitignore000066400000000000000000000004541460400174500173600ustar00rootroot00000000000000node_modules/ *.swp .lock-wscript lib/ out/ out-test/ .nyc_output/ Makefile.gyp *.Makefile *.target.gyp.mk *.node example/*.log docs/ npm-debug.log /.idea/ .env build/ .DS_Store package-lock.json # Keep bundled code out of Git dist/ demo/dist/ # dont commit benchmark folders .benchmark/ timeline/ xtermjs-xterm.js-9ba6c00/.gitmodules000066400000000000000000000000001460400174500175300ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.mailmap000066400000000000000000000005521460400174500170100ustar00rootroot00000000000000Antonis Kalipetis Antonis Kalipetis Daniel Imms Paris Kasidiaris Paris Kasidiaris Thanasis Daglis Thanasis Daglis xtermjs-xterm.js-9ba6c00/.mocha.env000066400000000000000000000000201460400174500172340ustar00rootroot00000000000000NODE_PATH=./out xtermjs-xterm.js-9ba6c00/.mocharc.yml000066400000000000000000000001261460400174500176010ustar00rootroot00000000000000require: - source-map-support/register reporter: spec color: true check-leaks: true xtermjs-xterm.js-9ba6c00/.npmignore000066400000000000000000000011401460400174500173600ustar00rootroot00000000000000# Blacklist - exclude everything except npm defaults such as LICENSE, etc * !*/ # Whitelist - css/ !css/**/*.css # Whitelist - dist/ !dist/**/*.js !dist/**/*.js.map !dist/**/*.css # Whitelist - lib/ !lib/**/*.d.ts !lib/**/*.js !lib/**/*.js.map !lib/**/*.css # Whitelist - src/ !src/**/*.ts !src/**/*.d.ts !src/**/*.js !src/**/*.js.map !src/**/*.css # Blacklist - src/ test files src/**/*.test.ts src/**/*.test.d.ts src/**/*.test.js src/**/*.test.js.map # Whitelist - typings/ !typings/*.d.ts # Blacklist - (normal behavior) these will override any whitelist headless/ typings/xterm-headless.d.ts xtermjs-xterm.js-9ba6c00/.npmrc000066400000000000000000000000221460400174500164770ustar00rootroot00000000000000package-lock=falsextermjs-xterm.js-9ba6c00/.nvmrc000066400000000000000000000000031460400174500165040ustar00rootroot0000000000000016 xtermjs-xterm.js-9ba6c00/.vscode/000077500000000000000000000000001460400174500167265ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/.vscode/launch.json000066400000000000000000000036061460400174500211000ustar00rootroot00000000000000{ "version": "0.2.0", "configurations": [ { "type": "node", "request": "launch", "name": "Unit Tests", "cwd": "${workspaceRoot}", "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/mocha", "windows": { "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/mocha.cmd" }, "runtimeArgs": [ "--colors", "--recursive", "${workspaceRoot}/out/**/*.test.js" ], "env": { "NODE_PATH": "${workspaceRoot}/out" }, "sourceMaps": true, "outFiles": [ "${workspaceRoot}/out/**/*.js" ], "internalConsoleOptions": "openOnSessionStart" }, { "type": "node", "request": "launch", "name": "Integration Tests", "cwd": "${workspaceRoot}", "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/mocha", "windows": { "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/mocha.cmd" }, "runtimeArgs": [ "--colors", "--recursive", "${workspaceRoot}/out/**/*.api.js" ], "sourceMaps": true, "outFiles": [ "${workspaceRoot}/lib/**/*.js" ], "internalConsoleOptions": "openOnSessionStart" }, { "type": "chrome", "request": "launch", "name": "Demo Client (Chrome)", "url": "http://127.0.0.1:3000", "webRoot": "${workspaceFolder}/" }, { "type": "msedge", "request": "launch", "name": "Demo Client (Edge)", "url": "http://127.0.0.1:3000", "webRoot": "${workspaceFolder}/" }, { "type": "node", "request": "launch", "name": "Demo Server", "runtimeExecutable": "npm", "runtimeArgs": ["start"], "stopOnEntry": true, "runtimeVersion": "16", "serverReadyAction": { "action": "openExternally", "pattern": "App listening to (http://.*?:[0-9]+)" } } ] } xtermjs-xterm.js-9ba6c00/.vscode/settings.json000066400000000000000000000006061460400174500214630ustar00rootroot00000000000000{ "files.associations": { ".eslintrc.json.typings": "jsonc" }, "typescript.preferences.importModuleSpecifier": "non-relative", "typescript.preferences.quoteStyle": "single", "mochaExplorer.envPath": ".mocha.env", "mochaExplorer.files": [ "out/**/*.test.js", "addons/**/out/*.test.js" ], "mochaExplorer.watch": [ "out/**/*.js", "addons/**/out/*.js" ] } 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"^([^\\\\s].*)\\\\((\\\\d+,\\\\d+)\\\\):\\\\s*(.*)$", "file": 1, "location": 2, "message": 3 } ], "background": { "beginsPattern": "assets by", "endsPattern": "webpack \\d+\\.\\d+\\.\\d+ compiled successfully" } }, "presentation": { "group": "vscode" } } ] } xtermjs-xterm.js-9ba6c00/CODE_OF_CONDUCT.md000066400000000000000000000063251460400174500201720ustar00rootroot00000000000000# Contributor Covenant Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language * Being respectful of differing viewpoints and experiences * Gracefully accepting constructive criticism * Focusing on what is best for the community * Showing empathy towards other community members Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances * Trolling, insulting/derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or electronic address, without explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Our Responsibilities Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. ## Scope This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting [@Tyriar](https://twitter.com/Tyriar) or [@pariskasid](https://twitter.com/pariskasid) on Twitter. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html [homepage]: https://www.contributor-covenant.org xtermjs-xterm.js-9ba6c00/CONTRIBUTING.md000066400000000000000000000066611460400174500176270ustar00rootroot00000000000000# How to contribute to xterm.js - [Opening issues for bug reports or feature requests](#opening-issues) - [Contributing code](#contributing-code) ## Opening issues The preferred way to report bugs or request features is to use [GitHub issues](http://github.com/sourcelair/xterm.js/issues). Before opening an issue, read these pointers. ### Opening issues effectively - Include information about **the browser in which the problem occurred**. Even if you tested several browsers, and the problem occurred in all of them, mention this fact in the bug report. Also include browser version numbers and the operating system that you're on. - Mention which release of xterm.js you're using. Preferably, try also with the current HEAD of the master branch, to ensure the problem has not already been fixed. - Mention precisely what went wrong. What did you expect to happen? What happened instead? Describe the exact steps a maintainer has to take to make the problem occur. - If the problem can not be reproduced in the [demo of xterm.js](https://github.com/xtermjs/xterm.js/wiki/Contributing#running-the-demo), please provide an HTML document that demonstrates the problem. - Be polite. Issues with an indignant or belligerent tone tend to be moved to the bottom of the pile. ## Answering discussion questions Issues are only meant to track (likely) feature requests and bugs. We use [GitHub Discussions](https://github.com/xtermjs/xterm.js/discussions) for general Q&A as well as discussing possible features. If you want to help out, many questions get asked over at the [discussions page](https://github.com/xtermjs/xterm.js/discussions) which could use an expert as the core team is often stretched thin. ## Contributing code You can find issues to work on by looking at the [help wanted](https://github.com/xtermjs/xterm.js/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) or [good first issue](https://github.com/xtermjs/xterm.js/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) issues. It's a good idea to comment on the issue saying that you're taking it, just in case someone else comes along and you duplicate work. Once you have your issue, here are the steps to contribute: - Fork [xterm.js](https://github.com/sourcelair/xterm.js/) ([how to fork a repo](https://help.github.com/articles/fork-a-repo)). - Get the [xterm.js demo](https://github.com/xtermjs/xterm.js/wiki/Contributing#running-the-demo) running. - Make your changes. - If your changes are easy to test or likely to regress, add tests. Tests go into `test`, directory. - Follow the general code style of the rest of the project (see below). - Submit a pull request ([how to create a pull request](https://help.github.com/articles/fork-a-repo)). Don't put more than one feature/fix in a single pull request. By contributing code to xterm.js you: - Agree to license the contributed code under xterm.js' [MIT license](LICENSE). - Confirm that you have the right to contribute and license the code in question. (Either you hold all rights on the code, or the rights holder has explicitly granted the right to use it like this, through a compatible open source license or through a direct agreement with you.) ### Test coverage One area that always needs attention is improving out unit test coverage, you can view the code coverage report on [Azure Pipelines](https://dev.azure.com/xtermjs/xterm.js/_build/latest?definitionId=3) by clicking the Code Coverage tab. xtermjs-xterm.js-9ba6c00/LICENSE000066400000000000000000000023551460400174500163770ustar00rootroot00000000000000Copyright (c) 2017-2019, The xterm.js authors (https://github.com/xtermjs/xterm.js) Copyright (c) 2014-2016, SourceLair Private Company (https://www.sourcelair.com) Copyright (c) 2012-2013, Christopher Jeffrey (https://github.com/chjj/) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. xtermjs-xterm.js-9ba6c00/Procfile000066400000000000000000000000461460400174500170530ustar00rootroot00000000000000web: npm start webpack: npm run watch xtermjs-xterm.js-9ba6c00/README.md000066400000000000000000000513041460400174500166470ustar00rootroot00000000000000# [![xterm.js logo](logo-full.png)](https://xtermjs.org) Xterm.js is a front-end component written in TypeScript that lets applications bring fully-featured terminals to their users in the browser. It's used by popular projects such as VS Code, Hyper and Theia. ## Features - **Terminal apps just work**: Xterm.js works with most terminal apps such as `bash`, `vim`, and `tmux`, including support for curses-based apps and mouse events. - **Performant**: Xterm.js is *really* fast, it even includes a GPU-accelerated renderer. - **Rich Unicode support**: Supports CJK, emojis, and IMEs. - **Self-contained**: Requires zero dependencies to work. - **Accessible**: Screen reader and minimum contrast ratio support can be turned on. - **And much more**: Links, theming, addons, well documented API, etc. ## What xterm.js is not - Xterm.js is not a terminal application that you can download and use on your computer. - Xterm.js is not `bash`. Xterm.js can be connected to processes like `bash` and let you interact with them (provide input, receive output). ## Getting Started First, you need to install the module, we ship exclusively through [npm](https://www.npmjs.com/), so you need that installed and then add xterm.js as a dependency by running: ```bash npm install @xterm/xterm ``` To start using xterm.js on your browser, add the `xterm.js` and `xterm.css` to the head of your HTML page. Then create a `
` onto which xterm can attach itself. Finally, instantiate the `Terminal` object and then call the `open` function with the DOM object of the `div`. ```html
``` ### Importing The recommended way to load xterm.js is via the ES6 module syntax: ```javascript import { Terminal } from '@xterm/xterm'; ``` ### Addons ⚠️ *This section describes the new addon format introduced in v3.14.0, see [here](https://github.com/xtermjs/xterm.js/blob/3.14.2/README.md#addons) for the instructions on the old format* Addons are separate modules that extend the `Terminal` by building on the [xterm.js API](https://github.com/xtermjs/xterm.js/blob/master/typings/xterm.d.ts). To use an addon, you first need to install it in your project: ```bash npm i -S @xterm/addon-web-links ``` Then import the addon, instantiate it and call `Terminal.loadAddon`: ```ts import { Terminal } from '@xterm/xterm'; import { WebLinksAddon } from '@xterm/addon-web-links'; const terminal = new Terminal(); // Load WebLinksAddon on terminal, this is all that's needed to get web links // working in the terminal. terminal.loadAddon(new WebLinksAddon()); ``` The xterm.js team maintains the following addons, but anyone can build them: - [`@xterm/addon-attach`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-attach): Attaches to a server running a process via a websocket - [`@xterm/addon-canvas`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-canvas): Renders xterm.js using a `canvas` element's 2d context - [`@xterm/addon-fit`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-fit): Fits the terminal to the containing element - [`@xterm/addon-image`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-image): Adds image support - [`@xterm/addon-search`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-search): Adds search functionality - [`@xterm/addon-serialize`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-serialize): Serializes the terminal's buffer to a VT sequences or HTML - [`@xterm/addon-unicode11`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-unicode11): Updates character widths to their unicode11 values - [`@xterm/addon-web-links`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-web-links): Adds web link detection and interaction - [`@xterm/addon-webgl`](https://github.com/xtermjs/xterm.js/tree/master/addons/addon-webgl): Renders xterm.js using a `canvas` element's webgl2 context ## Browser Support Since xterm.js is typically implemented as a developer tool, only modern browsers are supported officially. Specifically the latest versions of *Chrome*, *Edge*, *Firefox*, and *Safari*. Xterm.js works seamlessly in [Electron](https://electronjs.org/) apps and may even work on earlier versions of the browsers. These are the versions we strive to keep working. ### Node.js Support We also publish [`xterm-headless`](https://www.npmjs.com/package/xterm-headless) which is a stripped down version of xterm.js that runs in Node.js. An example use case for this is to keep track of a terminal's state where the process is running and using the serialize addon so it can get all state restored upon reconnection. ## API The full API for xterm.js is contained within the [TypeScript declaration file](https://github.com/xtermjs/xterm.js/blob/master/typings/xterm.d.ts), use the branch/tag picker in GitHub (`w`) to navigate to the correct version of the API. Note that some APIs are marked *experimental*, these are added to enable experimentation with new ideas without committing to support it like a normal [semver](https://semver.org/) API. Note that these APIs can change radically between versions, so be sure to read release notes if you plan on using experimental APIs. ## Releases Xterm.js follows a monthly release cycle roughly. All current and past releases are available on this repo's [Releases page](https://github.com/sourcelair/xterm.js/releases), you can view the [high-level roadmap on the wiki](https://github.com/xtermjs/xterm.js/wiki/Roadmap) and see what we're working on now by looking through [Milestones](https://github.com/sourcelair/xterm.js/milestones). ### Beta builds Our CI releases beta builds to npm for every change that goes into master. Install the latest beta build with: ```bash npm install -S @xterm/xterm@beta ``` These should generally be stable, but some bugs may slip in. We recommend using the beta build primarily to test out new features and to verify bug fixes. ## Contributing You can read the [guide on the wiki](https://github.com/xtermjs/xterm.js/wiki/Contributing) to learn how to contribute and set up xterm.js for development. ## Real-world uses Xterm.js is used in several world-class applications to provide great terminal experiences. - [**SourceLair**](https://www.sourcelair.com/): In-browser IDE that provides its users with fully-featured Linux terminals based on xterm.js. - [**Microsoft Visual Studio Code**](http://code.visualstudio.com/): Modern, versatile, and powerful open source code editor that provides an integrated terminal based on xterm.js. - [**ttyd**](https://github.com/tsl0922/ttyd): A command-line tool for sharing terminal over the web, with fully-featured terminal emulation based on xterm.js. - [**Katacoda**](https://www.katacoda.com/): Katacoda is an Interactive Learning Platform for software developers, covering the latest Cloud Native technologies. - [**Eclipse Che**](http://www.eclipse.org/che): Developer workspace server, cloud IDE, and Eclipse next-generation IDE. - [**Codenvy**](http://www.codenvy.com): Cloud workspaces for development teams. - [**CoderPad**](https://coderpad.io): Online interviewing platform for programmers. Run code in many programming languages, with results displayed by xterm.js. - [**WebSSH2**](https://github.com/billchurch/WebSSH2): A web based SSH2 client using xterm.js, socket.io, and ssh2. - [**Spyder Terminal**](https://github.com/spyder-ide/spyder-terminal): A full fledged system terminal embedded on Spyder IDE. - [**Cloud Commander**](https://cloudcmd.io "Cloud Commander"): Orthodox web file manager with console and editor. - [**Next Tech**](https://next.tech "Next Tech"): Online platform for interactive coding and web development courses. Live container-backed terminal uses xterm.js. - [**RStudio**](https://www.rstudio.com/products/RStudio "RStudio"): RStudio is an integrated development environment (IDE) for R. - [**Terminal for Atom**](https://github.com/jsmecham/atom-terminal-tab): A simple terminal for the Atom text editor. - [**Eclipse Orion**](https://orionhub.org): A modern, open source software development environment that runs in the cloud. Code, deploy, and run in the cloud. - [**Gravitational Teleport**](https://github.com/gravitational/teleport): Gravitational Teleport is a modern SSH server for remotely accessing clusters of Linux servers via SSH or HTTPS. - [**Hexlet**](https://en.hexlet.io): Practical programming courses (JavaScript, PHP, Unix, databases, functional programming). A steady path from the first line of code to the first job. - [**Selenoid UI**](https://github.com/aerokube/selenoid-ui): Simple UI for the scalable golang implementation of Selenium Hub named Selenoid. We use XTerm for streaming logs over websockets from docker containers. - [**Portainer**](https://portainer.io): Simple management UI for Docker. - [**SSHy**](https://github.com/stuicey/SSHy): HTML5 Based SSHv2 Web Client with E2E encryption utilising xterm.js, SJCL & websockets. - [**JupyterLab**](https://github.com/jupyterlab/jupyterlab): An extensible computational environment for Jupyter, supporting interactive data science and scientific computing across all programming languages. - [**Theia**](https://github.com/theia-ide/theia): Theia is a cloud & desktop IDE framework implemented in TypeScript. - [**Opshell**](https://github.com/ricktbaker/opshell) Ops Helper tool to make life easier working with AWS instances across multiple organizations. - [**Proxmox VE**](https://www.proxmox.com/en/proxmox-ve): Proxmox VE is a complete open-source platform for enterprise virtualization. It uses xterm.js for container terminals and the host shell. - [**Script Runner**](https://github.com/ioquatix/script-runner): Run scripts (or a shell) in Atom. - [**Whack Whack Terminal**](https://github.com/Microsoft/WhackWhackTerminal): Terminal emulator for Visual Studio 2017. - [**VTerm**](https://github.com/vterm/vterm): Extensible terminal emulator based on Electron and React. - [**electerm**](http://electerm.html5beta.com): electerm is a terminal/ssh/sftp client(mac, win, linux) based on electron/node-pty/xterm. - [**Kubebox**](https://github.com/astefanutti/kubebox): Terminal console for Kubernetes clusters. - [**Azure Cloud Shell**](https://shell.azure.com): Azure Cloud Shell is a Microsoft-managed admin machine built on Azure, for Azure. - [**atom-xterm**](https://atom.io/packages/atom-xterm): Atom plugin for providing terminals inside your Atom workspace. - [**rtty**](https://github.com/zhaojh329/rtty): Access your terminals from anywhere via the web. - [**Pisth**](https://github.com/ColdGrub1384/Pisth): An SFTP and SSH client for iOS. - [**abstruse**](https://github.com/bleenco/abstruse): Abstruse CI is a continuous integration platform based on Node.JS and Docker. - [**Azure Data Studio**](https://github.com/Microsoft/azuredatastudio): A data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux. - [**FreeMAN**](https://github.com/matthew-matvei/freeman): A free, cross-platform file manager for power users. - [**Fluent Terminal**](https://github.com/felixse/FluentTerminal): A terminal emulator based on UWP and web technologies. - [**Hyper**](https://hyper.is): A terminal built on web technologies. - [**Diag**](https://diag.ai): A better way to troubleshoot problems faster. Capture, share and reapply troubleshooting knowledge so you can focus on solving problems that matter. - [**GoTTY**](https://github.com/sorenisanerd/gotty): A simple command line tool that shares your terminal as a web application based on xterm.js. - [**genact**](https://github.com/svenstaro/genact): A nonsense activity generator. - [**cPanel & WHM**](https://cpanel.com): The hosting platform of choice. - [**Nutanix**](https://github.com/nutanix): Nutanix Enterprise Cloud uses xterm in the webssh functionality within Nutanix Calm, and is also looking to move our old noserial (termjs) functionality to xterm.js. - [**SSH Web Client**](https://github.com/roke22/PHP-SSH2-Web-Client): SSH Web Client with PHP. - [**Juno**](http://junolab.org/): A flexible Julia IDE, based on Atom. - [**webssh**](https://github.com/huashengdun/webssh): Web based ssh client. - [**info-beamer hosted**](https://info-beamer.com): Uses xterm.js to manage digital signage devices from the web dashboard. - [**Jumpserver**](https://github.com/jumpserver/luna): Jumpserver Luna project, Jumpserver is a bastion server project, Luna use xterm.js for web terminal emulation. - [**LxdMosaic**](https://github.com/turtle0x1/LxdMosaic): Uses xterm.js to give terminal access to containers through LXD - [**CodeInterview.io**](https://codeinterview.io): A coding interview platform in 25+ languages and many web frameworks. Uses xterm.js to provide shell access. - [**Bastillion**](https://www.bastillion.io): Bastillion is an open-source web-based SSH console that centrally manages administrative access to systems. - [**PHP App Server**](https://github.com/cubiclesoft/php-app-server/): Create lightweight, installable almost-native applications for desktop OSes. ExecTerminal (nicely wraps the xterm.js Terminal), TerminalManager, and RunProcessSDK are self-contained, reusable ES5+ compliant Javascript components. - [**NgTerminal**](https://github.com/qwefgh90/ng-terminal): NgTerminal is a web terminal that leverages xterm.js on Angular 7+. You can easily add it into your application by adding `` into your component. - [**tty-share**](https://tty-share.com): Extremely simple terminal sharing over the Internet. - [**Ten Hands**](https://github.com/saisandeepvaddi/ten-hands): One place to run your command-line tasks. - [**WebAssembly.sh**](https://webassembly.sh): A WebAssembly WASI browser terminal - [**Gus**](https://gus.jp): A shared coding pad where you can run Python with xterm.js - [**Linode**](https://linode.com): Linode uses xterm.js to provide users a web console for their Linode instances. - [**FluffOS**](https://www.fluffos.info): Active maintained LPMUD driver with websocket support. - [**x-terminal**](https://atom.io/packages/x-terminal): Atom plugin for providing terminals inside your Atom workspace. - [**CoCalc**](https://cocalc.com/): Lots of free software pre-installed, to chat, collaborate, develop, program, publish, research, share, teach, in C++, HTML, Julia, Jupyter, LaTeX, Markdown, Python, R, SageMath, Scala, ... - [**Dank Domain**](https://www.DDgame.us/): Open source multiuser medieval game supporting old & new terminal emulation. - [**DockerStacks**](https://docker-stacks.com/): Local LAMP/LEMP development studio - [**Codecademy**](https://codecademy.com/): Uses xterm.js in its courses on Bash. - [**Laravel Ssh Web Client**](https://github.com/roke22/Laravel-ssh-client): Laravel server inventory with ssh web client to connect at server using xterm.js - [**Replit**](https://replit.com): Collaborative browser based IDE with support for 50+ different languages. - [**TeleType**](https://github.com/akshaykmr/TeleType): cli tool that allows you to share your terminal online conveniently. Show off mad cli-fu, help a colleague, teach, or troubleshoot. - [**Intervue**](https://www.intervue.io): Pair programming for interviews. Multiple programming languages are supported, with results displayed by xterm.js. - [**TRASA**](https://trasa.io): Zero trust access to Web, SSH, RDP, and Database services. - [**Commas**](https://github.com/CyanSalt/commas): Commas is a hackable terminal and command runner. - [**Devtron**](https://github.com/devtron-labs/devtron): Software Delivery Workflow For Kubernetes. - [**NxShell**](https://github.com/nxshell/nxshell): An easy to use new terminal for SSH. - [**gifcast**](https://dstein64.github.io/gifcast/): Converts an asciinema cast to an animated GIF. - [**WizardWebssh**](https://gitlab.com/mikeramsey/wizardwebssh): A terminal with Pyqt5 Widget for embedding, which can be used as an ssh client to connect to your ssh servers. It is written in Python, based on tornado, paramiko, and xterm.js. - [**Wizard Assistant**](https://wizardassistant.com/): Wizard Assistant comes with advanced automation tools, preloaded common and special time-saving commands, and a built-in SSH terminal. Now you can remotely administer, troubleshoot, and analyze any system with ease. - [**ucli**](https://github.com/tsadarsh/ucli): Command Line for everyone :family_man_woman_girl_boy: at [www.ucli.tech](https://www.ucli.tech). - [**Tess**](https://github.com/SquitchYT/Tess/): Simple Terminal Fully Customizable for Everyone. Discover more at [tessapp.dev](https://tessapp.dev) - [**HashiCorp Nomad**](https://www.nomadproject.io/): A container orchestrator with the ability to connect to remote tasks via a web interface using websockets and xterm.js. - [**TermPair**](https://github.com/cs01/termpair): View and control terminals from your browser with end-to-end encryption - [**gdbgui**](https://github.com/cs01/gdbgui): Browser-based frontend to gdb (gnu debugger) - [**goormIDE**](https://ide.goorm.io/): Run almost every programming languages with real-time collaboration, live pair programming, and built-in messenger. - [**FleetDeck**](https://fleetdeck.io): Remote desktop & virtual terminal - [**OpenSumi**](https://github.com/opensumi/core): A framework helps you quickly build Cloud or Desktop IDE products. - [**KubeSail**](https://kubesail.com): The Self-Hosting Company - uses xterm to allow users to exec into kubernetes pods and build github apps - [**WiTTY**](https://github.com/syssecfsu/witty): Web-based interactive terminal emulator that allows users to easily record, share, and replay console sessions. - [**libv86 Terminal Forwarding**](https://github.com/hello-smile6/libv86-terminal-forwarding): Peer-to-peer SSH for the web, using WebRTC via [Bugout](https://github.com/chr15m/bugout) for data transfer and [v86](https://github.com/copy/v86) for web-based virtualization. - [**hack.courses**](https://hack.courses): Interactive Linux and command-line classes using xterm.js to expose a real terminal available for everyone. - [**Render**](https://render.com): Platform-as-a-service for your apps, websites, and databases using xterm.js to provide a command prompt for user containers and for streaming build and runtime logs. - [**CloudTTY**](https://github.com/cloudtty/cloudtty): A Friendly Kubernetes CloudShell (Web Terminal). - [**Go SSH Web Client**](https://github.com/wuchihsu/go-ssh-web-client): A simple SSH web client using Go, WebSocket and Xterm.js. - [**web3os**](https://web3os.sh): A decentralized operating system for the next web - [**Cratecode**](https://cratecode.com): Learn to program for free through interactive online lessons. Cratecode uses xterm.js to give users access to their own Linux environment. - [**Super Terminal**](https://github.com/bugwheels94/super-terminal): It is a http based terminal for developers who dont like repetition and save time. - [**graSSHopper**](https://grasshopper.coding.kiwi): A simple SSH client with file explorer, history and many more features. - [**DomTerm**](https://domterm.org/xtermjs.html): Tiles and tabs. Detachable sessions (like tmux). [Remote connections](https://domterm.org/Remoting-over-ssh.html) using a nice ssh wrapper with predictive echo. Qt, Electron, Tauri/Wry, or desktop browser front-ends. Choose between xterm.js engine (faster) or native DomTerm (more functionality and graphics) - or both. - [**Cloudtutor.io**](https://cloudtutor.io): innovative online learning platform that offers users access to an interactive lab. - [**Helix Editor Playground**](https://github.com/tomgroenwoldt/helix-editor-playground): Online playground for the terminal based helix editor. - [**Coder**](https://github.com/coder/coder): Self-Hosted Remote Development Environments - [And much more...](https://github.com/xtermjs/xterm.js/network/dependents?package_id=UGFja2FnZS0xNjYzMjc4OQ%3D%3D) Do you use xterm.js in your application as well? Please [open a Pull Request](https://github.com/sourcelair/xterm.js/pulls) to include it here. We would love to have it on our list. Note: Please add any new contributions to the end of the list only. ## License Agreement If you contribute code to this project, you implicitly allow your code to be distributed under the MIT license. You are also implicitly verifying that all code is your original work. Copyright (c) 2017-2022, [The xterm.js authors](https://github.com/xtermjs/xterm.js/graphs/contributors) (MIT License)
Copyright (c) 2014-2017, SourceLair, Private Company ([www.sourcelair.com](https://www.sourcelair.com/home)) (MIT License)
Copyright (c) 2012-2013, Christopher Jeffrey (MIT License) xtermjs-xterm.js-9ba6c00/addons/000077500000000000000000000000001460400174500166355ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-attach/000077500000000000000000000000001460400174500211645ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-attach/.gitignore000066400000000000000000000000211460400174500231450ustar00rootroot00000000000000lib node_modules xtermjs-xterm.js-9ba6c00/addons/addon-attach/.npmignore000066400000000000000000000006201460400174500231610ustar00rootroot00000000000000# Blacklist - exclude everything except npm defaults such as LICENSE, etc * !*/ # Whitelist - lib/ !lib/**/*.d.ts !lib/**/*.js !lib/**/*.js.map !lib/**/*.css # Whitelist - src/ !src/**/*.ts !src/**/*.d.ts !src/**/*.js !src/**/*.js.map !src/**/*.css # Blacklist - src/ test files src/**/*.test.ts src/**/*.test.d.ts src/**/*.test.js src/**/*.test.js.map # Whitelist - typings/ !typings/*.d.ts xtermjs-xterm.js-9ba6c00/addons/addon-attach/LICENSE000066400000000000000000000021171460400174500221720ustar00rootroot00000000000000Copyright (c) 2017, The xterm.js authors (https://github.com/xtermjs/xterm.js) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. xtermjs-xterm.js-9ba6c00/addons/addon-attach/README.md000066400000000000000000000011211460400174500224360ustar00rootroot00000000000000## @xterm/addon-attach An addon for [xterm.js](https://github.com/xtermjs/xterm.js) that enables attaching to a web socket. This addon requires xterm.js v4+. ### Install ```bash npm install --save @xterm/addon-attach ``` ### Usage ```ts import { Terminal } from '@xterm/xterm'; import { AttachAddon } from '@xterm/addon-attach'; const terminal = new Terminal(); const attachAddon = new AttachAddon(webSocket); terminal.loadAddon(attachAddon); ``` See the full [API](https://github.com/xtermjs/xterm.js/blob/master/addons/addon-attach/typings/addon-attach.d.ts) for more advanced usage. xtermjs-xterm.js-9ba6c00/addons/addon-attach/package.json000066400000000000000000000012051460400174500234500ustar00rootroot00000000000000{ "name": "@xterm/addon-attach", "version": "0.11.0", "author": { "name": "The xterm.js authors", "url": "https://xtermjs.org/" }, "main": "lib/addon-attach.js", "types": "typings/addon-attach.d.ts", "repository": "https://github.com/xtermjs/xterm.js/tree/master/addons/addon-attach", "license": "MIT", "keywords": [ "terminal", "xterm", "xterm.js" ], "scripts": { "build": "../../node_modules/.bin/tsc -p .", "prepackage": "npm run build", "package": "../../node_modules/.bin/webpack", "prepublishOnly": "npm run package" }, "peerDependencies": { "@xterm/xterm": "^5.0.0" } } xtermjs-xterm.js-9ba6c00/addons/addon-attach/src/000077500000000000000000000000001460400174500217535ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-attach/src/AttachAddon.ts000066400000000000000000000055241460400174500245030ustar00rootroot00000000000000/** * Copyright (c) 2014, 2019 The xterm.js authors. All rights reserved. * @license MIT * * Implements the attach method, that attaches the terminal to a WebSocket stream. */ import type { Terminal, IDisposable, ITerminalAddon } from '@xterm/xterm'; import type { AttachAddon as IAttachApi } from '@xterm/addon-attach'; interface IAttachOptions { bidirectional?: boolean; } export class AttachAddon implements ITerminalAddon , IAttachApi { private _socket: WebSocket; private _bidirectional: boolean; private _disposables: IDisposable[] = []; constructor(socket: WebSocket, options?: IAttachOptions) { this._socket = socket; // always set binary type to arraybuffer, we do not handle blobs this._socket.binaryType = 'arraybuffer'; this._bidirectional = !(options && options.bidirectional === false); } public activate(terminal: Terminal): void { this._disposables.push( addSocketListener(this._socket, 'message', ev => { const data: ArrayBuffer | string = ev.data; terminal.write(typeof data === 'string' ? data : new Uint8Array(data)); }) ); if (this._bidirectional) { this._disposables.push(terminal.onData(data => this._sendData(data))); this._disposables.push(terminal.onBinary(data => this._sendBinary(data))); } this._disposables.push(addSocketListener(this._socket, 'close', () => this.dispose())); this._disposables.push(addSocketListener(this._socket, 'error', () => this.dispose())); } public dispose(): void { for (const d of this._disposables) { d.dispose(); } } private _sendData(data: string): void { if (!this._checkOpenSocket()) { return; } this._socket.send(data); } private _sendBinary(data: string): void { if (!this._checkOpenSocket()) { return; } const buffer = new Uint8Array(data.length); for (let i = 0; i < data.length; ++i) { buffer[i] = data.charCodeAt(i) & 255; } this._socket.send(buffer); } private _checkOpenSocket(): boolean { switch (this._socket.readyState) { case WebSocket.OPEN: return true; case WebSocket.CONNECTING: throw new Error('Attach addon was loaded before socket was open'); case WebSocket.CLOSING: console.warn('Attach addon socket is closing'); return false; case WebSocket.CLOSED: throw new Error('Attach addon socket is closed'); default: throw new Error('Unexpected socket state'); } } } function addSocketListener(socket: WebSocket, type: K, handler: (this: WebSocket, ev: WebSocketEventMap[K]) => any): IDisposable { socket.addEventListener(type, handler); return { dispose: () => { if (!handler) { // Already disposed return; } socket.removeEventListener(type, handler); } }; } xtermjs-xterm.js-9ba6c00/addons/addon-attach/src/tsconfig.json000066400000000000000000000007341460400174500244660ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2021", "lib": [ "dom", "es2015" ], "rootDir": ".", "outDir": "../out", "sourceMap": true, "removeComments": true, "strict": true, "types": [ "../../../node_modules/@types/mocha" ], "paths": { "@xterm/addon-attach": [ "../typings/addon-attach.d.ts" ] } }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ] } xtermjs-xterm.js-9ba6c00/addons/addon-attach/test/000077500000000000000000000000001460400174500221435ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-attach/test/AttachAddon.api.ts000066400000000000000000000031771460400174500254450ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ import WebSocket = require('ws'); import { openTerminal, pollFor, launchBrowser } from '../../../out-test/api/TestUtils'; import { Browser, Page } from '@playwright/test'; const APP = 'http://127.0.0.1:3001/test'; let browser: Browser; let page: Page; const width = 800; const height = 600; describe('AttachAddon', () => { before(async function(): Promise { browser = await launchBrowser(); page = await (await browser.newContext()).newPage(); await page.setViewportSize({ width, height }); }); after(async () => { await browser.close(); }); beforeEach(async () => await page.goto(APP)); it('string', async function(): Promise { await openTerminal(page); const port = 8080; const server = new WebSocket.Server({ port }); server.on('connection', socket => socket.send('foo')); await page.evaluate(`window.term.loadAddon(new window.AttachAddon(new WebSocket('ws://localhost:${port}')))`); await pollFor(page, `window.term.buffer.active.getLine(0).translateToString(true)`, 'foo'); server.close(); }); it('utf8', async function(): Promise { await openTerminal(page); const port = 8080; const server = new WebSocket.Server({ port }); const data = new Uint8Array([102, 111, 111]); server.on('connection', socket => socket.send(data)); await page.evaluate(`window.term.loadAddon(new window.AttachAddon(new WebSocket('ws://localhost:${port}')))`); await pollFor(page, `window.term.buffer.active.getLine(0).translateToString(true)`, 'foo'); server.close(); }); }); xtermjs-xterm.js-9ba6c00/addons/addon-attach/test/tsconfig.json000066400000000000000000000007041460400174500246530ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2021", "lib": [ "es2015" ], "rootDir": ".", "outDir": "../out-test", "sourceMap": true, "removeComments": true, "strict": true, "types": [ "../../../node_modules/@types/mocha", "../../../node_modules/@types/node", "../../../out-test/api/TestUtils" ] }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ] } xtermjs-xterm.js-9ba6c00/addons/addon-attach/tsconfig.json000066400000000000000000000001541460400174500236730ustar00rootroot00000000000000{ "files": [], "include": [], "references": [ { "path": "./src" }, { "path": "./test" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-attach/typings/000077500000000000000000000000001460400174500226615ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-attach/typings/addon-attach.d.ts000066400000000000000000000010421460400174500257770ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { Terminal, ITerminalAddon } from '@xterm/xterm'; declare module '@xterm/addon-attach' { export interface IAttachOptions { /** * Whether input should be written to the backend. Defaults to `true`. */ bidirectional?: boolean; } export class AttachAddon implements ITerminalAddon { constructor(socket: WebSocket, options?: IAttachOptions); public activate(terminal: Terminal): void; public dispose(): void; } } xtermjs-xterm.js-9ba6c00/addons/addon-attach/webpack.config.js000066400000000000000000000011071460400174500244010ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ const path = require('path'); const addonName = 'AttachAddon'; const mainFile = 'addon-attach.js'; module.exports = { entry: `./out/${addonName}.js`, devtool: 'source-map', module: { rules: [ { test: /\.js$/, use: ["source-map-loader"], enforce: "pre", exclude: /node_modules/ } ] }, output: { filename: mainFile, path: path.resolve('./lib'), library: addonName, libraryTarget: 'umd' }, mode: 'production' }; xtermjs-xterm.js-9ba6c00/addons/addon-canvas/000077500000000000000000000000001460400174500211735ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-canvas/.gitignore000066400000000000000000000000201460400174500231530ustar00rootroot00000000000000lib node_modulesxtermjs-xterm.js-9ba6c00/addons/addon-canvas/.npmignore000066400000000000000000000006201460400174500231700ustar00rootroot00000000000000# Blacklist - exclude everything except npm defaults such as LICENSE, etc * !*/ # Whitelist - lib/ !lib/**/*.d.ts !lib/**/*.js !lib/**/*.js.map !lib/**/*.css # Whitelist - src/ !src/**/*.ts !src/**/*.d.ts !src/**/*.js !src/**/*.js.map !src/**/*.css # Blacklist - src/ test files src/**/*.test.ts src/**/*.test.d.ts src/**/*.test.js src/**/*.test.js.map # Whitelist - typings/ !typings/*.d.ts xtermjs-xterm.js-9ba6c00/addons/addon-canvas/LICENSE000066400000000000000000000021171460400174500222010ustar00rootroot00000000000000Copyright (c) 2017, The xterm.js authors (https://github.com/xtermjs/xterm.js) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. xtermjs-xterm.js-9ba6c00/addons/addon-canvas/README.md000066400000000000000000000017231460400174500224550ustar00rootroot00000000000000## @xterm/addon-canvas An addon for [xterm.js](https://github.com/xtermjs/xterm.js) that enables a canvas-based renderer using a 2d context to draw. This addon requires xterm.js v5+. The purpose of this addon is to be used as a fallback for the [webgl addon](https://www.npmjs.com/package/@xterm/addon-webgl) when better performance is desired over the default DOM renderer, but WebGL2 isn't supported or performant for some reason. ### Install ```bash npm install --save @xterm/addon-canvas ``` ### Usage ```ts import { Terminal } from '@xterm/xterm'; import { CanvasAddon } from '@xterm/addon-canvas'; const terminal = new Terminal(); terminal.open(element); terminal.loadAddon(new CanvasAddon()); ``` See the full [API](https://github.com/xtermjs/xterm.js/blob/master/addons/addon-canvas/typings/addon-canvas.d.ts) for more advanced usage. ### See also - [@xterm/addon-webgl](https://www.npmjs.com/package/@xterm/addon-webgl) A renderer for xterm.js that uses WebGL xtermjs-xterm.js-9ba6c00/addons/addon-canvas/package.json000066400000000000000000000013201460400174500234550ustar00rootroot00000000000000{ "name": "@xterm/addon-canvas", "version": "0.7.0", "author": { "name": "The xterm.js authors", "url": "https://xtermjs.org/" }, "main": "lib/addon-canvas.js", "types": "typings/addon-canvas.d.ts", "repository": "https://github.com/xtermjs/xterm.js/tree/master/addons/addon-canvas", "license": "MIT", "keywords": [ "terminal", "canvas", "xterm", "xterm.js" ], "scripts": { "build": "../../node_modules/.bin/tsc -p .", "prepackage": "npm run build", "package": "../../node_modules/.bin/webpack", "prepublishOnly": "npm run package", "start-server-only": "node ../../demo/start-server-only" }, "peerDependencies": { "@xterm/xterm": "^5.0.0" } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/000077500000000000000000000000001460400174500217625ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/BaseRenderLayer.ts000066400000000000000000000465241460400174500253540ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { ReadonlyColorSet } from 'browser/Types'; import { CellColorResolver } from 'browser/renderer/shared/CellColorResolver'; import { acquireTextureAtlas } from 'browser/renderer/shared/CharAtlasCache'; import { TEXT_BASELINE } from 'browser/renderer/shared/Constants'; import { tryDrawCustomChar } from 'browser/renderer/shared/CustomGlyphs'; import { allowRescaling, throwIfFalsy } from 'browser/renderer/shared/RendererUtils'; import { createSelectionRenderModel } from 'browser/renderer/shared/SelectionRenderModel'; import { IRasterizedGlyph, IRenderDimensions, ISelectionRenderModel, ITextureAtlas } from 'browser/renderer/shared/Types'; import { ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { EventEmitter, forwardEvent } from 'common/EventEmitter'; import { Disposable, MutableDisposable, toDisposable } from 'common/Lifecycle'; import { isSafari } from 'common/Platform'; import { ICellData } from 'common/Types'; import { CellData } from 'common/buffer/CellData'; import { WHITESPACE_CELL_CODE } from 'common/buffer/Constants'; import { IBufferService, IDecorationService, IOptionsService } from 'common/services/Services'; import { Terminal } from '@xterm/xterm'; import { IRenderLayer } from './Types'; export abstract class BaseRenderLayer extends Disposable implements IRenderLayer { private _canvas: HTMLCanvasElement; protected _ctx!: CanvasRenderingContext2D; private _deviceCharWidth: number = 0; private _deviceCharHeight: number = 0; private _deviceCellWidth: number = 0; private _deviceCellHeight: number = 0; private _deviceCharLeft: number = 0; private _deviceCharTop: number = 0; protected _selectionModel: ISelectionRenderModel = createSelectionRenderModel(); private _cellColorResolver: CellColorResolver; private _bitmapGenerator: (BitmapGenerator | undefined)[] = []; protected _charAtlas!: ITextureAtlas; protected _charAtlasDisposable = this.register(new MutableDisposable()); public get canvas(): HTMLCanvasElement { return this._canvas; } public get cacheCanvas(): HTMLCanvasElement { return this._charAtlas?.pages[0].canvas!; } private readonly _onAddTextureAtlasCanvas = this.register(new EventEmitter()); public readonly onAddTextureAtlasCanvas = this._onAddTextureAtlasCanvas.event; constructor( private readonly _terminal: Terminal, private _container: HTMLElement, id: string, zIndex: number, private _alpha: boolean, protected readonly _themeService: IThemeService, protected readonly _bufferService: IBufferService, protected readonly _optionsService: IOptionsService, protected readonly _decorationService: IDecorationService, protected readonly _coreBrowserService: ICoreBrowserService ) { super(); this._cellColorResolver = new CellColorResolver(this._terminal, this._optionsService, this._selectionModel, this._decorationService, this._coreBrowserService, this._themeService); this._canvas = this._coreBrowserService.mainDocument.createElement('canvas'); this._canvas.classList.add(`xterm-${id}-layer`); this._canvas.style.zIndex = zIndex.toString(); this._initCanvas(); this._container.appendChild(this._canvas); this._refreshCharAtlas(this._themeService.colors); this.register(this._themeService.onChangeColors(e => { this._refreshCharAtlas(e); this.reset(); // Trigger selection changed as it's handled separately to regular rendering this.handleSelectionChanged(this._selectionModel.selectionStart, this._selectionModel.selectionEnd, this._selectionModel.columnSelectMode); })); this.register(toDisposable(() => { this._canvas.remove(); })); } private _initCanvas(): void { this._ctx = throwIfFalsy(this._canvas.getContext('2d', { alpha: this._alpha })); // Draw the background if this is an opaque layer if (!this._alpha) { this._clearAll(); } } public handleBlur(): void {} public handleFocus(): void {} public handleCursorMove(): void {} public handleGridChanged(startRow: number, endRow: number): void {} public handleSelectionChanged(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean = false): void { this._selectionModel.update((this._terminal as any)._core, start, end, columnSelectMode); } protected _setTransparency(alpha: boolean): void { // Do nothing when alpha doesn't change if (alpha === this._alpha) { return; } // Create new canvas and replace old one const oldCanvas = this._canvas; this._alpha = alpha; // Cloning preserves properties this._canvas = this._canvas.cloneNode() as HTMLCanvasElement; this._initCanvas(); this._container.replaceChild(this._canvas, oldCanvas); // Regenerate char atlas and force a full redraw this._refreshCharAtlas(this._themeService.colors); this.handleGridChanged(0, this._bufferService.rows - 1); } /** * Refreshes the char atlas, aquiring a new one if necessary. * @param colorSet The color set to use for the char atlas. */ private _refreshCharAtlas(colorSet: ReadonlyColorSet): void { if (this._deviceCharWidth <= 0 && this._deviceCharHeight <= 0) { return; } this._charAtlas = acquireTextureAtlas(this._terminal, this._optionsService.rawOptions, colorSet, this._deviceCellWidth, this._deviceCellHeight, this._deviceCharWidth, this._deviceCharHeight, this._coreBrowserService.dpr); this._charAtlasDisposable.value = forwardEvent(this._charAtlas.onAddTextureAtlasCanvas, this._onAddTextureAtlasCanvas); this._charAtlas.warmUp(); for (let i = 0; i < this._charAtlas.pages.length; i++) { this._bitmapGenerator[i] = new BitmapGenerator(this._charAtlas.pages[i].canvas); } } public resize(dim: IRenderDimensions): void { this._deviceCellWidth = dim.device.cell.width; this._deviceCellHeight = dim.device.cell.height; this._deviceCharWidth = dim.device.char.width; this._deviceCharHeight = dim.device.char.height; this._deviceCharLeft = dim.device.char.left; this._deviceCharTop = dim.device.char.top; this._canvas.width = dim.device.canvas.width; this._canvas.height = dim.device.canvas.height; this._canvas.style.width = `${dim.css.canvas.width}px`; this._canvas.style.height = `${dim.css.canvas.height}px`; // Draw the background if this is an opaque layer if (!this._alpha) { this._clearAll(); } this._refreshCharAtlas(this._themeService.colors); } public abstract reset(): void; public clearTextureAtlas(): void { this._charAtlas?.clearTexture(); } /** * Fills 1+ cells completely. This uses the existing fillStyle on the context. * @param x The column to start at. * @param y The row to start at * @param width The number of columns to fill. * @param height The number of rows to fill. */ protected _fillCells(x: number, y: number, width: number, height: number): void { this._ctx.fillRect( x * this._deviceCellWidth, y * this._deviceCellHeight, width * this._deviceCellWidth, height * this._deviceCellHeight); } /** * Fills a 1px line (2px on HDPI) at the middle of the cell. This uses the * existing fillStyle on the context. * @param x The column to fill. * @param y The row to fill. */ protected _fillMiddleLineAtCells(x: number, y: number, width: number = 1): void { const cellOffset = Math.ceil(this._deviceCellHeight * 0.5); this._ctx.fillRect( x * this._deviceCellWidth, (y + 1) * this._deviceCellHeight - cellOffset - this._coreBrowserService.dpr, width * this._deviceCellWidth, this._coreBrowserService.dpr); } /** * Fills a 1px line (2px on HDPI) at the bottom of the cell. This uses the * existing fillStyle on the context. * @param x The column to fill. * @param y The row to fill. */ protected _fillBottomLineAtCells(x: number, y: number, width: number = 1, pixelOffset: number = 0): void { this._ctx.fillRect( x * this._deviceCellWidth, (y + 1) * this._deviceCellHeight + pixelOffset - this._coreBrowserService.dpr - 1 /* Ensure it's drawn within the cell */, width * this._deviceCellWidth, this._coreBrowserService.dpr); } protected _curlyUnderlineAtCell(x: number, y: number, width: number = 1): void { this._ctx.save(); this._ctx.beginPath(); this._ctx.strokeStyle = this._ctx.fillStyle; const lineWidth = this._coreBrowserService.dpr; this._ctx.lineWidth = lineWidth; for (let xOffset = 0; xOffset < width; xOffset++) { const xLeft = (x + xOffset) * this._deviceCellWidth; const xMid = (x + xOffset + 0.5) * this._deviceCellWidth; const xRight = (x + xOffset + 1) * this._deviceCellWidth; const yMid = (y + 1) * this._deviceCellHeight - lineWidth - 1; const yMidBot = yMid - lineWidth; const yMidTop = yMid + lineWidth; this._ctx.moveTo(xLeft, yMid); this._ctx.bezierCurveTo( xLeft, yMidBot, xMid, yMidBot, xMid, yMid ); this._ctx.bezierCurveTo( xMid, yMidTop, xRight, yMidTop, xRight, yMid ); } this._ctx.stroke(); this._ctx.restore(); } protected _dottedUnderlineAtCell(x: number, y: number, width: number = 1): void { this._ctx.save(); this._ctx.beginPath(); this._ctx.strokeStyle = this._ctx.fillStyle; const lineWidth = this._coreBrowserService.dpr; this._ctx.lineWidth = lineWidth; this._ctx.setLineDash([lineWidth * 2, lineWidth]); const xLeft = x * this._deviceCellWidth; const yMid = (y + 1) * this._deviceCellHeight - lineWidth - 1; this._ctx.moveTo(xLeft, yMid); for (let xOffset = 0; xOffset < width; xOffset++) { // const xLeft = x * this._deviceCellWidth; const xRight = (x + width + xOffset) * this._deviceCellWidth; this._ctx.lineTo(xRight, yMid); } this._ctx.stroke(); this._ctx.closePath(); this._ctx.restore(); } protected _dashedUnderlineAtCell(x: number, y: number, width: number = 1): void { this._ctx.save(); this._ctx.beginPath(); this._ctx.strokeStyle = this._ctx.fillStyle; const lineWidth = this._coreBrowserService.dpr; this._ctx.lineWidth = lineWidth; this._ctx.setLineDash([lineWidth * 4, lineWidth * 3]); const xLeft = x * this._deviceCellWidth; const xRight = (x + width) * this._deviceCellWidth; const yMid = (y + 1) * this._deviceCellHeight - lineWidth - 1; this._ctx.moveTo(xLeft, yMid); this._ctx.lineTo(xRight, yMid); this._ctx.stroke(); this._ctx.closePath(); this._ctx.restore(); } /** * Fills a 1px line (2px on HDPI) at the left of the cell. This uses the * existing fillStyle on the context. * @param x The column to fill. * @param y The row to fill. */ protected _fillLeftLineAtCell(x: number, y: number, width: number): void { this._ctx.fillRect( x * this._deviceCellWidth, y * this._deviceCellHeight, this._coreBrowserService.dpr * width, this._deviceCellHeight); } /** * Strokes a 1px rectangle (2px on HDPI) around a cell. This uses the existing * strokeStyle on the context. * @param x The column to fill. * @param y The row to fill. */ protected _strokeRectAtCell(x: number, y: number, width: number, height: number): void { const lineWidth = this._coreBrowserService.dpr; this._ctx.lineWidth = lineWidth; this._ctx.strokeRect( x * this._deviceCellWidth + lineWidth / 2, y * this._deviceCellHeight + (lineWidth / 2), width * this._deviceCellWidth - lineWidth, (height * this._deviceCellHeight) - lineWidth); } /** * Clears the entire canvas. */ protected _clearAll(): void { if (this._alpha) { this._ctx.clearRect(0, 0, this._canvas.width, this._canvas.height); } else { this._ctx.fillStyle = this._themeService.colors.background.css; this._ctx.fillRect(0, 0, this._canvas.width, this._canvas.height); } } /** * Clears 1+ cells completely. * @param x The column to start at. * @param y The row to start at. * @param width The number of columns to clear. * @param height The number of rows to clear. */ protected _clearCells(x: number, y: number, width: number, height: number): void { if (this._alpha) { this._ctx.clearRect( x * this._deviceCellWidth, y * this._deviceCellHeight, width * this._deviceCellWidth, height * this._deviceCellHeight); } else { this._ctx.fillStyle = this._themeService.colors.background.css; this._ctx.fillRect( x * this._deviceCellWidth, y * this._deviceCellHeight, width * this._deviceCellWidth, height * this._deviceCellHeight); } } /** * Draws a truecolor character at the cell. The character will be clipped to * ensure that it fits with the cell, including the cell to the right if it's * a wide character. This uses the existing fillStyle on the context. * @param cell The cell data for the character to draw. * @param x The column to draw at. * @param y The row to draw at. */ protected _fillCharTrueColor(cell: CellData, x: number, y: number): void { this._ctx.font = this._getFont(false, false); this._ctx.textBaseline = TEXT_BASELINE; this._clipRow(y); // Draw custom characters if applicable let drawSuccess = false; if (this._optionsService.rawOptions.customGlyphs !== false) { drawSuccess = tryDrawCustomChar(this._ctx, cell.getChars(), x * this._deviceCellWidth, y * this._deviceCellHeight, this._deviceCellWidth, this._deviceCellHeight, this._optionsService.rawOptions.fontSize, this._coreBrowserService.dpr); } // Draw the character if (!drawSuccess) { this._ctx.fillText( cell.getChars(), x * this._deviceCellWidth + this._deviceCharLeft, y * this._deviceCellHeight + this._deviceCharTop + this._deviceCharHeight); } } /** * Draws one or more characters at a cell. If possible this will draw using * the character atlas to reduce draw time. */ protected _drawChars(cell: ICellData, x: number, y: number): void { const chars = cell.getChars(); const code = cell.getCode(); const width = cell.getWidth(); this._cellColorResolver.resolve(cell, x, this._bufferService.buffer.ydisp + y, this._deviceCellWidth); if (!this._charAtlas) { return; } let glyph: IRasterizedGlyph; if (chars && chars.length > 1) { glyph = this._charAtlas.getRasterizedGlyphCombinedChar(chars, this._cellColorResolver.result.bg, this._cellColorResolver.result.fg, this._cellColorResolver.result.ext, true); } else { glyph = this._charAtlas.getRasterizedGlyph(cell.getCode() || WHITESPACE_CELL_CODE, this._cellColorResolver.result.bg, this._cellColorResolver.result.fg, this._cellColorResolver.result.ext, true); } if (!glyph.size.x || !glyph.size.y) { return; } this._ctx.save(); this._clipRow(y); // Draw the image, use the bitmap if it's available // HACK: If the canvas doesn't match, delete the generator. It's not clear how this happens but // something is wrong with either the lifecycle of _bitmapGenerator or the page canvases are // swapped out unexpectedly if (this._bitmapGenerator[glyph.texturePage] && this._charAtlas.pages[glyph.texturePage].canvas !== this._bitmapGenerator[glyph.texturePage]!.canvas) { this._bitmapGenerator[glyph.texturePage]?.bitmap?.close(); delete this._bitmapGenerator[glyph.texturePage]; } if (this._charAtlas.pages[glyph.texturePage].version !== this._bitmapGenerator[glyph.texturePage]?.version) { if (!this._bitmapGenerator[glyph.texturePage]) { this._bitmapGenerator[glyph.texturePage] = new BitmapGenerator(this._charAtlas.pages[glyph.texturePage].canvas); } this._bitmapGenerator[glyph.texturePage]!.refresh(); this._bitmapGenerator[glyph.texturePage]!.version = this._charAtlas.pages[glyph.texturePage].version; } // Reduce scale horizontally for wide glyphs printed in cells that would overlap with the // following cell (ie. the width is not 2). let renderWidth = glyph.size.x; if (this._optionsService.rawOptions.rescaleOverlappingGlyphs) { if (allowRescaling(code, width, glyph.size.x, this._deviceCellWidth)) { renderWidth = this._deviceCellWidth - 1; // - 1 to improve readability } } this._ctx.drawImage( this._bitmapGenerator[glyph.texturePage]?.bitmap || this._charAtlas!.pages[glyph.texturePage].canvas, glyph.texturePosition.x, glyph.texturePosition.y, glyph.size.x, glyph.size.y, x * this._deviceCellWidth + this._deviceCharLeft - glyph.offset.x, y * this._deviceCellHeight + this._deviceCharTop - glyph.offset.y, renderWidth, glyph.size.y ); this._ctx.restore(); } /** * Clips a row to ensure no pixels will be drawn outside the cells in the row. * @param y The row to clip. */ private _clipRow(y: number): void { this._ctx.beginPath(); this._ctx.rect( 0, y * this._deviceCellHeight, this._bufferService.cols * this._deviceCellWidth, this._deviceCellHeight); this._ctx.clip(); } /** * Gets the current font. * @param isBold If we should use the bold fontWeight. */ protected _getFont(isBold: boolean, isItalic: boolean): string { const fontWeight = isBold ? this._optionsService.rawOptions.fontWeightBold : this._optionsService.rawOptions.fontWeight; const fontStyle = isItalic ? 'italic' : ''; return `${fontStyle} ${fontWeight} ${this._optionsService.rawOptions.fontSize * this._coreBrowserService.dpr}px ${this._optionsService.rawOptions.fontFamily}`; } } /** * The number of milliseconds to wait before generating the ImageBitmap, this is to debounce/batch * the operation as window.createImageBitmap is asynchronous. */ const GLYPH_BITMAP_COMMIT_DELAY = 100; const enum BitmapGeneratorState { IDLE = 0, GENERATING = 1, GENERATING_INVALID = 2 } class BitmapGenerator { private _state: BitmapGeneratorState = BitmapGeneratorState.IDLE; private _commitTimeout: number | undefined = undefined; private _bitmap: ImageBitmap | undefined = undefined; public get bitmap(): ImageBitmap | undefined { return this._bitmap; } public version: number = -1; constructor(public readonly canvas: HTMLCanvasElement) { } public refresh(): void { // Clear the bitmap immediately as it's stale this._bitmap?.close(); this._bitmap = undefined; // Disable ImageBitmaps on Safari because of https://bugs.webkit.org/show_bug.cgi?id=149990 if (isSafari) { return; } if (this._commitTimeout === undefined) { this._commitTimeout = window.setTimeout(() => this._generate(), GLYPH_BITMAP_COMMIT_DELAY); } if (this._state === BitmapGeneratorState.GENERATING) { this._state = BitmapGeneratorState.GENERATING_INVALID; } } private _generate(): void { if (this._state === BitmapGeneratorState.IDLE) { this._bitmap?.close(); this._bitmap = undefined; this._state = BitmapGeneratorState.GENERATING; window.createImageBitmap(this.canvas).then(bitmap => { if (this._state === BitmapGeneratorState.GENERATING_INVALID) { this.refresh(); } else { this._bitmap = bitmap; } this._state = BitmapGeneratorState.IDLE; }); if (this._commitTimeout) { this._commitTimeout = undefined; } } } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/CanvasAddon.ts000066400000000000000000000066241460400174500245230ustar00rootroot00000000000000/** * Copyright (c) 2022 The xterm.js authors. All rights reserved. * @license MIT */ import type { ITerminalAddon, Terminal } from '@xterm/xterm'; import type { CanvasAddon as ICanvasApi } from '@xterm/addon-canvas'; import { ICharacterJoinerService, ICharSizeService, ICoreBrowserService, IRenderService, IThemeService } from 'browser/services/Services'; import { ITerminal } from 'browser/Types'; import { EventEmitter, forwardEvent } from 'common/EventEmitter'; import { Disposable, toDisposable } from 'common/Lifecycle'; import { setTraceLogger } from 'common/services/LogService'; import { IBufferService, IDecorationService, ILogService } from 'common/services/Services'; import { CanvasRenderer } from './CanvasRenderer'; export class CanvasAddon extends Disposable implements ITerminalAddon , ICanvasApi { private _terminal?: Terminal; private _renderer?: CanvasRenderer; private readonly _onChangeTextureAtlas = this.register(new EventEmitter()); public readonly onChangeTextureAtlas = this._onChangeTextureAtlas.event; private readonly _onAddTextureAtlasCanvas = this.register(new EventEmitter()); public readonly onAddTextureAtlasCanvas = this._onAddTextureAtlasCanvas.event; public get textureAtlas(): HTMLCanvasElement | undefined { return this._renderer?.textureAtlas; } public activate(terminal: Terminal): void { const core = (terminal as any)._core as ITerminal; if (!terminal.element) { this.register(core.onWillOpen(() => this.activate(terminal))); return; } this._terminal = terminal; const coreService = core.coreService; const optionsService = core.optionsService; const screenElement = core.screenElement!; const linkifier = core.linkifier!; const unsafeCore = core as any; const bufferService: IBufferService = unsafeCore._bufferService; const renderService: IRenderService = unsafeCore._renderService; const characterJoinerService: ICharacterJoinerService = unsafeCore._characterJoinerService; const charSizeService: ICharSizeService = unsafeCore._charSizeService; const coreBrowserService: ICoreBrowserService = unsafeCore._coreBrowserService; const decorationService: IDecorationService = unsafeCore._decorationService; const logService: ILogService = unsafeCore._logService; const themeService: IThemeService = unsafeCore._themeService; // Set trace logger just in case it hasn't been yet which could happen when the addon is // bundled separately to the core module setTraceLogger(logService); this._renderer = new CanvasRenderer(terminal, screenElement, linkifier, bufferService, charSizeService, optionsService, characterJoinerService, coreService, coreBrowserService, decorationService, themeService); this.register(forwardEvent(this._renderer.onChangeTextureAtlas, this._onChangeTextureAtlas)); this.register(forwardEvent(this._renderer.onAddTextureAtlasCanvas, this._onAddTextureAtlasCanvas)); renderService.setRenderer(this._renderer); renderService.handleResize(bufferService.cols, bufferService.rows); this.register(toDisposable(() => { renderService.setRenderer((this._terminal as any)._core._createRenderer()); renderService.handleResize(terminal.cols, terminal.rows); this._renderer?.dispose(); this._renderer = undefined; })); } public clearTextureAtlas(): void { this._renderer?.clearTextureAtlas(); } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/CanvasRenderer.ts000066400000000000000000000210251460400174500252340ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { ILinkifier2 } from 'browser/Types'; import { removeTerminalFromCache } from 'browser/renderer/shared/CharAtlasCache'; import { observeDevicePixelDimensions } from 'browser/renderer/shared/DevicePixelObserver'; import { createRenderDimensions } from 'browser/renderer/shared/RendererUtils'; import { IRenderDimensions, IRenderer, IRequestRedrawEvent } from 'browser/renderer/shared/Types'; import { ICharSizeService, ICharacterJoinerService, ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { EventEmitter, forwardEvent } from 'common/EventEmitter'; import { Disposable, MutableDisposable, toDisposable } from 'common/Lifecycle'; import { IBufferService, ICoreService, IDecorationService, IOptionsService } from 'common/services/Services'; import { Terminal } from '@xterm/xterm'; import { CursorRenderLayer } from './CursorRenderLayer'; import { LinkRenderLayer } from './LinkRenderLayer'; import { SelectionRenderLayer } from './SelectionRenderLayer'; import { TextRenderLayer } from './TextRenderLayer'; import { IRenderLayer } from './Types'; export class CanvasRenderer extends Disposable implements IRenderer { private _renderLayers: IRenderLayer[]; private _devicePixelRatio: number; private _observerDisposable = this.register(new MutableDisposable()); public dimensions: IRenderDimensions; private readonly _onRequestRedraw = this.register(new EventEmitter()); public readonly onRequestRedraw = this._onRequestRedraw.event; private readonly _onChangeTextureAtlas = this.register(new EventEmitter()); public readonly onChangeTextureAtlas = this._onChangeTextureAtlas.event; private readonly _onAddTextureAtlasCanvas = this.register(new EventEmitter()); public readonly onAddTextureAtlasCanvas = this._onAddTextureAtlasCanvas.event; constructor( private readonly _terminal: Terminal, private readonly _screenElement: HTMLElement, linkifier2: ILinkifier2, private readonly _bufferService: IBufferService, private readonly _charSizeService: ICharSizeService, private readonly _optionsService: IOptionsService, characterJoinerService: ICharacterJoinerService, coreService: ICoreService, private readonly _coreBrowserService: ICoreBrowserService, decorationService: IDecorationService, private readonly _themeService: IThemeService ) { super(); const allowTransparency = this._optionsService.rawOptions.allowTransparency; this._renderLayers = [ new TextRenderLayer(this._terminal, this._screenElement, 0, allowTransparency, this._bufferService, this._optionsService, characterJoinerService, decorationService, this._coreBrowserService, _themeService), new SelectionRenderLayer(this._terminal, this._screenElement, 1, this._bufferService, this._coreBrowserService, decorationService, this._optionsService, _themeService), new LinkRenderLayer(this._terminal, this._screenElement, 2, linkifier2, this._bufferService, this._optionsService, decorationService, this._coreBrowserService, _themeService), new CursorRenderLayer(this._terminal, this._screenElement, 3, this._onRequestRedraw, this._bufferService, this._optionsService, coreService, this._coreBrowserService, decorationService, _themeService) ]; for (const layer of this._renderLayers) { forwardEvent(layer.onAddTextureAtlasCanvas, this._onAddTextureAtlasCanvas); } this.dimensions = createRenderDimensions(); this._devicePixelRatio = this._coreBrowserService.dpr; this._updateDimensions(); this._observerDisposable.value = observeDevicePixelDimensions(this._renderLayers[0].canvas, this._coreBrowserService.window, (w, h) => this._setCanvasDevicePixelDimensions(w, h)); this.register(this._coreBrowserService.onWindowChange(w => { this._observerDisposable.value = observeDevicePixelDimensions(this._renderLayers[0].canvas, w, (w, h) => this._setCanvasDevicePixelDimensions(w, h)); })); this.register(toDisposable(() => { for (const l of this._renderLayers) { l.dispose(); } removeTerminalFromCache(this._terminal); })); } public get textureAtlas(): HTMLCanvasElement | undefined { return this._renderLayers[0].cacheCanvas; } public handleDevicePixelRatioChange(): void { // If the device pixel ratio changed, the char atlas needs to be regenerated // and the terminal needs to refreshed if (this._devicePixelRatio !== this._coreBrowserService.dpr) { this._devicePixelRatio = this._coreBrowserService.dpr; this.handleResize(this._bufferService.cols, this._bufferService.rows); } } public handleResize(cols: number, rows: number): void { // Update character and canvas dimensions this._updateDimensions(); // Resize all render layers for (const l of this._renderLayers) { l.resize(this.dimensions); } // Resize the screen this._screenElement.style.width = `${this.dimensions.css.canvas.width}px`; this._screenElement.style.height = `${this.dimensions.css.canvas.height}px`; } public handleCharSizeChanged(): void { this.handleResize(this._bufferService.cols, this._bufferService.rows); } public handleBlur(): void { this._runOperation(l => l.handleBlur()); } public handleFocus(): void { this._runOperation(l => l.handleFocus()); } public handleSelectionChanged(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean = false): void { this._runOperation(l => l.handleSelectionChanged(start, end, columnSelectMode)); // Selection foreground requires a full re-render if (this._themeService.colors.selectionForeground) { this._onRequestRedraw.fire({ start: 0, end: this._bufferService.rows - 1 }); } } public handleCursorMove(): void { this._runOperation(l => l.handleCursorMove()); } public clear(): void { this._runOperation(l => l.reset()); } private _runOperation(operation: (layer: IRenderLayer) => void): void { for (const l of this._renderLayers) { operation(l); } } /** * Performs the refresh loop callback, calling refresh only if a refresh is * necessary before queueing up the next one. */ public renderRows(start: number, end: number): void { for (const l of this._renderLayers) { l.handleGridChanged(start, end); } } public clearTextureAtlas(): void { for (const layer of this._renderLayers) { layer.clearTextureAtlas(); } } /** * Recalculates the character and canvas dimensions. */ private _updateDimensions(): void { if (!this._charSizeService.hasValidSize) { return; } // See the WebGL renderer for an explanation of this section. const dpr = this._coreBrowserService.dpr; this.dimensions.device.char.width = Math.floor(this._charSizeService.width * dpr); this.dimensions.device.char.height = Math.ceil(this._charSizeService.height * dpr); this.dimensions.device.cell.height = Math.floor(this.dimensions.device.char.height * this._optionsService.rawOptions.lineHeight); this.dimensions.device.char.top = this._optionsService.rawOptions.lineHeight === 1 ? 0 : Math.round((this.dimensions.device.cell.height - this.dimensions.device.char.height) / 2); this.dimensions.device.cell.width = this.dimensions.device.char.width + Math.round(this._optionsService.rawOptions.letterSpacing); this.dimensions.device.char.left = Math.floor(this._optionsService.rawOptions.letterSpacing / 2); this.dimensions.device.canvas.height = this._bufferService.rows * this.dimensions.device.cell.height; this.dimensions.device.canvas.width = this._bufferService.cols * this.dimensions.device.cell.width; this.dimensions.css.canvas.height = Math.round(this.dimensions.device.canvas.height / dpr); this.dimensions.css.canvas.width = Math.round(this.dimensions.device.canvas.width / dpr); this.dimensions.css.cell.height = this.dimensions.css.canvas.height / this._bufferService.rows; this.dimensions.css.cell.width = this.dimensions.css.canvas.width / this._bufferService.cols; } private _setCanvasDevicePixelDimensions(width: number, height: number): void { this.dimensions.device.canvas.height = height; this.dimensions.device.canvas.width = width; // Resize all render layers for (const l of this._renderLayers) { l.resize(this.dimensions); } this._requestRedrawViewport(); } private _requestRedrawViewport(): void { this._onRequestRedraw.fire({ start: 0, end: this._bufferService.rows - 1 }); } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/CursorRenderLayer.ts000066400000000000000000000202401460400174500257420ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { CursorBlinkStateManager } from 'browser/renderer/shared/CursorBlinkStateManager'; import { IRenderDimensions, IRequestRedrawEvent } from 'browser/renderer/shared/Types'; import { ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { IEventEmitter } from 'common/EventEmitter'; import { MutableDisposable } from 'common/Lifecycle'; import { isFirefox } from 'common/Platform'; import { ICellData } from 'common/Types'; import { CellData } from 'common/buffer/CellData'; import { IBufferService, ICoreService, IDecorationService, IOptionsService } from 'common/services/Services'; import { Terminal } from '@xterm/xterm'; import { BaseRenderLayer } from './BaseRenderLayer'; interface ICursorState { x: number; y: number; isFocused: boolean; style: string; width: number; } export class CursorRenderLayer extends BaseRenderLayer { private _state: ICursorState; private _cursorRenderers: {[key: string]: (x: number, y: number, cell: ICellData) => void}; private _cursorBlinkStateManager: MutableDisposable = this.register(new MutableDisposable()); private _cell: ICellData = new CellData(); constructor( terminal: Terminal, container: HTMLElement, zIndex: number, private readonly _onRequestRedraw: IEventEmitter, bufferService: IBufferService, optionsService: IOptionsService, private readonly _coreService: ICoreService, coreBrowserService: ICoreBrowserService, decorationService: IDecorationService, themeService: IThemeService ) { super(terminal, container, 'cursor', zIndex, true, themeService, bufferService, optionsService, decorationService, coreBrowserService); this._state = { x: 0, y: 0, isFocused: false, style: '', width: 0 }; this._cursorRenderers = { 'bar': this._renderBarCursor.bind(this), 'block': this._renderBlockCursor.bind(this), 'underline': this._renderUnderlineCursor.bind(this), 'outline': this._renderOutlineCursor.bind(this) }; this.register(optionsService.onOptionChange(() => this._handleOptionsChanged())); this._handleOptionsChanged(); } public resize(dim: IRenderDimensions): void { super.resize(dim); // Resizing the canvas discards the contents of the canvas so clear state this._state = { x: 0, y: 0, isFocused: false, style: '', width: 0 }; } public reset(): void { this._clearCursor(); this._cursorBlinkStateManager.value?.restartBlinkAnimation(); this._handleOptionsChanged(); } public handleBlur(): void { this._cursorBlinkStateManager.value?.pause(); this._onRequestRedraw.fire({ start: this._bufferService.buffer.y, end: this._bufferService.buffer.y }); } public handleFocus(): void { this._cursorBlinkStateManager.value?.resume(); this._onRequestRedraw.fire({ start: this._bufferService.buffer.y, end: this._bufferService.buffer.y }); } private _handleOptionsChanged(): void { if (this._optionsService.rawOptions.cursorBlink) { if (!this._cursorBlinkStateManager.value) { this._cursorBlinkStateManager.value = new CursorBlinkStateManager(() => this._render(true), this._coreBrowserService); } } else { this._cursorBlinkStateManager.clear(); } // Request a refresh from the terminal as management of rendering is being // moved back to the terminal this._onRequestRedraw.fire({ start: this._bufferService.buffer.y, end: this._bufferService.buffer.y }); } public handleCursorMove(): void { this._cursorBlinkStateManager.value?.restartBlinkAnimation(); } public handleGridChanged(startRow: number, endRow: number): void { if (!this._cursorBlinkStateManager.value || this._cursorBlinkStateManager.value.isPaused) { this._render(false); } else { this._cursorBlinkStateManager.value.restartBlinkAnimation(); } } private _render(triggeredByAnimationFrame: boolean): void { // Don't draw the cursor if it's hidden if (!this._coreService.isCursorInitialized || this._coreService.isCursorHidden) { this._clearCursor(); return; } const cursorY = this._bufferService.buffer.ybase + this._bufferService.buffer.y; const viewportRelativeCursorY = cursorY - this._bufferService.buffer.ydisp; // Don't draw the cursor if it's off-screen if (viewportRelativeCursorY < 0 || viewportRelativeCursorY >= this._bufferService.rows) { this._clearCursor(); return; } // in case cursor.x == cols adjust visual cursor to cols - 1 const cursorX = Math.min(this._bufferService.buffer.x, this._bufferService.cols - 1); this._bufferService.buffer.lines.get(cursorY)!.loadCell(cursorX, this._cell); if (this._cell.content === undefined) { return; } if (!this._coreBrowserService.isFocused) { this._clearCursor(); this._ctx.save(); this._ctx.fillStyle = this._themeService.colors.cursor.css; const cursorStyle = this._optionsService.rawOptions.cursorStyle; const cursorInactiveStyle = this._optionsService.rawOptions.cursorInactiveStyle; if (cursorInactiveStyle && cursorInactiveStyle !== 'none') { this._cursorRenderers[cursorInactiveStyle](cursorX, viewportRelativeCursorY, this._cell); } this._ctx.restore(); this._state.x = cursorX; this._state.y = viewportRelativeCursorY; this._state.isFocused = false; this._state.style = cursorStyle; this._state.width = this._cell.getWidth(); return; } // Don't draw the cursor if it's blinking if (this._cursorBlinkStateManager.value && !this._cursorBlinkStateManager.value.isCursorVisible) { this._clearCursor(); return; } if (this._state) { // The cursor is already in the correct spot, don't redraw if (this._state.x === cursorX && this._state.y === viewportRelativeCursorY && this._state.isFocused === this._coreBrowserService.isFocused && this._state.style === this._optionsService.rawOptions.cursorStyle && this._state.width === this._cell.getWidth()) { return; } this._clearCursor(); } this._ctx.save(); this._cursorRenderers[this._optionsService.rawOptions.cursorStyle || 'block'](cursorX, viewportRelativeCursorY, this._cell); this._ctx.restore(); this._state.x = cursorX; this._state.y = viewportRelativeCursorY; this._state.isFocused = false; this._state.style = this._optionsService.rawOptions.cursorStyle; this._state.width = this._cell.getWidth(); } private _clearCursor(): void { if (this._state) { // Avoid potential rounding errors when browser is Firefox (#4487) or device pixel ratio is // less than 1 if (isFirefox || this._coreBrowserService.dpr < 1) { this._clearAll(); } else { this._clearCells(this._state.x, this._state.y, this._state.width, 1); } this._state = { x: 0, y: 0, isFocused: false, style: '', width: 0 }; } } private _renderBarCursor(x: number, y: number, cell: ICellData): void { this._ctx.save(); this._ctx.fillStyle = this._themeService.colors.cursor.css; this._fillLeftLineAtCell(x, y, this._optionsService.rawOptions.cursorWidth); this._ctx.restore(); } private _renderBlockCursor(x: number, y: number, cell: ICellData): void { this._ctx.save(); this._ctx.fillStyle = this._themeService.colors.cursor.css; this._fillCells(x, y, cell.getWidth(), 1); this._ctx.fillStyle = this._themeService.colors.cursorAccent.css; this._fillCharTrueColor(cell, x, y); this._ctx.restore(); } private _renderUnderlineCursor(x: number, y: number, cell: ICellData): void { this._ctx.save(); this._ctx.fillStyle = this._themeService.colors.cursor.css; this._fillBottomLineAtCells(x, y); this._ctx.restore(); } private _renderOutlineCursor(x: number, y: number, cell: ICellData): void { this._ctx.save(); this._ctx.strokeStyle = this._themeService.colors.cursor.css; this._strokeRectAtCell(x, y, cell.getWidth(), 1); this._ctx.restore(); } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/GridCache.test.ts000066400000000000000000000032451460400174500251250ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { assert } from 'chai'; import { GridCache } from './GridCache'; describe('GridCache', () => { let grid: GridCache; beforeEach(() => { grid = new GridCache(); }); describe('constructor', () => { it('should create an empty cache', () => { assert.equal(grid.cache.length, 0); }); }); describe('resize', () => { it('should fill all new elements with null', () => { grid.resize(2, 2); assert.equal(grid.cache.length, 2); assert.equal(grid.cache[0].length, 2); assert.equal(grid.cache[0][0], null); assert.equal(grid.cache[0][1], null); assert.equal(grid.cache[1].length, 2); assert.equal(grid.cache[1][0], null); assert.equal(grid.cache[1][1], null); grid.resize(3, 2); assert.equal(grid.cache.length, 3); assert.equal(grid.cache[2][0], null); assert.equal(grid.cache[2][1], null); }); it('should remove rows/cols from the cache when reduced', () => { grid.resize(2, 2); grid.resize(1, 1); assert.equal(grid.cache.length, 1); assert.equal(grid.cache[0].length, 1); }); it('should not touch existing cache entries if they fit in the new cache', () => { grid.resize(1, 1); assert.equal(grid.cache[0][0], null); grid.cache[0][0] = 1; grid.resize(2, 1); assert.equal(grid.cache[0][0], 1); }); }); describe('clear', () => { it('should make all entries null', () => { grid.resize(1, 1); grid.cache[0][0] = 1; grid.clear(); assert.equal(grid.cache[0][0], null); }); }); }); xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/GridCache.ts000066400000000000000000000013531460400174500241450ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ export class GridCache { public cache: (T | undefined)[][]; public constructor() { this.cache = []; } public resize(width: number, height: number): void { for (let x = 0; x < width; x++) { if (this.cache.length <= x) { this.cache.push([]); } for (let y = this.cache[x].length; y < height; y++) { this.cache[x].push(undefined); } this.cache[x].length = height; } this.cache.length = width; } public clear(): void { for (let x = 0; x < this.cache.length; x++) { for (let y = 0; y < this.cache[x].length; y++) { this.cache[x][y] = undefined; } } } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/LinkRenderLayer.ts000066400000000000000000000056321460400174500253720ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { ILinkifier2, ILinkifierEvent } from 'browser/Types'; import { is256Color } from 'browser/renderer/shared/CharAtlasUtils'; import { INVERTED_DEFAULT_COLOR } from 'browser/renderer/shared/Constants'; import { IRenderDimensions } from 'browser/renderer/shared/Types'; import { ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { IBufferService, IDecorationService, IOptionsService } from 'common/services/Services'; import { Terminal } from '@xterm/xterm'; import { BaseRenderLayer } from './BaseRenderLayer'; export class LinkRenderLayer extends BaseRenderLayer { private _state: ILinkifierEvent | undefined; constructor( terminal: Terminal, container: HTMLElement, zIndex: number, linkifier2: ILinkifier2, bufferService: IBufferService, optionsService: IOptionsService, decorationService: IDecorationService, coreBrowserService: ICoreBrowserService, themeService: IThemeService ) { super(terminal, container, 'link', zIndex, true, themeService, bufferService, optionsService, decorationService, coreBrowserService); this.register(linkifier2.onShowLinkUnderline(e => this._handleShowLinkUnderline(e))); this.register(linkifier2.onHideLinkUnderline(e => this._handleHideLinkUnderline(e))); } public resize(dim: IRenderDimensions): void { super.resize(dim); // Resizing the canvas discards the contents of the canvas so clear state this._state = undefined; } public reset(): void { this._clearCurrentLink(); } private _clearCurrentLink(): void { if (this._state) { this._clearCells(this._state.x1, this._state.y1, this._state.cols - this._state.x1, 1); const middleRowCount = this._state.y2 - this._state.y1 - 1; if (middleRowCount > 0) { this._clearCells(0, this._state.y1 + 1, this._state.cols, middleRowCount); } this._clearCells(0, this._state.y2, this._state.x2, 1); this._state = undefined; } } private _handleShowLinkUnderline(e: ILinkifierEvent): void { if (e.fg === INVERTED_DEFAULT_COLOR) { this._ctx.fillStyle = this._themeService.colors.background.css; } else if (e.fg && is256Color(e.fg)) { // 256 color support this._ctx.fillStyle = this._themeService.colors.ansi[e.fg].css; } else { this._ctx.fillStyle = this._themeService.colors.foreground.css; } if (e.y1 === e.y2) { // Single line link this._fillBottomLineAtCells(e.x1, e.y1, e.x2 - e.x1); } else { // Multi-line link this._fillBottomLineAtCells(e.x1, e.y1, e.cols - e.x1); for (let y = e.y1 + 1; y < e.y2; y++) { this._fillBottomLineAtCells(0, y, e.cols); } this._fillBottomLineAtCells(0, e.y2, e.x2); } this._state = e; } private _handleHideLinkUnderline(e: ILinkifierEvent): void { this._clearCurrentLink(); } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/SelectionRenderLayer.ts000066400000000000000000000131051460400174500264140ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { IRenderDimensions } from 'browser/renderer/shared/Types'; import { BaseRenderLayer } from './BaseRenderLayer'; import { IBufferService, IDecorationService, IOptionsService } from 'common/services/Services'; import { ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { Terminal } from '@xterm/xterm'; interface ISelectionState { start?: [number, number]; end?: [number, number]; columnSelectMode?: boolean; ydisp?: number; } export class SelectionRenderLayer extends BaseRenderLayer { private _state!: ISelectionState; constructor( terminal: Terminal, container: HTMLElement, zIndex: number, bufferService: IBufferService, coreBrowserService: ICoreBrowserService, decorationService: IDecorationService, optionsService: IOptionsService, themeService: IThemeService ) { super(terminal, container, 'selection', zIndex, true, themeService, bufferService, optionsService, decorationService, coreBrowserService); this._clearState(); } private _clearState(): void { this._state = { start: undefined, end: undefined, columnSelectMode: undefined, ydisp: undefined }; } public resize(dim: IRenderDimensions): void { super.resize(dim); // On resize use the base render layer's cached selection values since resize clears _state // inside reset. if (this._selectionModel.selectionStart && this._selectionModel.selectionEnd) { this._clearState(); this._redrawSelection(this._selectionModel.selectionStart, this._selectionModel.selectionEnd, this._selectionModel.columnSelectMode); } } public reset(): void { if (this._state.start && this._state.end) { this._clearState(); this._clearAll(); } } public handleBlur(): void { this.reset(); this._redrawSelection(this._selectionModel.selectionStart, this._selectionModel.selectionEnd, this._selectionModel.columnSelectMode); } public handleFocus(): void { this.reset(); this._redrawSelection(this._selectionModel.selectionStart, this._selectionModel.selectionEnd, this._selectionModel.columnSelectMode); } public handleSelectionChanged(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean): void { super.handleSelectionChanged(start, end, columnSelectMode); this._redrawSelection(start, end, columnSelectMode); } private _redrawSelection(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean): void { // Selection has not changed if (!this._didStateChange(start, end, columnSelectMode, this._bufferService.buffer.ydisp)) { return; } // Remove all selections this._clearAll(); // Selection does not exist if (!start || !end) { this._clearState(); return; } // Translate from buffer position to viewport position const viewportStartRow = start[1] - this._bufferService.buffer.ydisp; const viewportEndRow = end[1] - this._bufferService.buffer.ydisp; const viewportCappedStartRow = Math.max(viewportStartRow, 0); const viewportCappedEndRow = Math.min(viewportEndRow, this._bufferService.rows - 1); // No need to draw the selection if (viewportCappedStartRow >= this._bufferService.rows || viewportCappedEndRow < 0) { this._state.ydisp = this._bufferService.buffer.ydisp; return; } this._ctx.fillStyle = (this._coreBrowserService.isFocused ? this._themeService.colors.selectionBackgroundTransparent : this._themeService.colors.selectionInactiveBackgroundTransparent).css; if (columnSelectMode) { const startCol = start[0]; const width = end[0] - startCol; const height = viewportCappedEndRow - viewportCappedStartRow + 1; this._fillCells(startCol, viewportCappedStartRow, width, height); } else { // Draw first row const startCol = viewportStartRow === viewportCappedStartRow ? start[0] : 0; const startRowEndCol = viewportCappedStartRow === viewportEndRow ? end[0] : this._bufferService.cols; this._fillCells(startCol, viewportCappedStartRow, startRowEndCol - startCol, 1); // Draw middle rows const middleRowsCount = Math.max(viewportCappedEndRow - viewportCappedStartRow - 1, 0); this._fillCells(0, viewportCappedStartRow + 1, this._bufferService.cols, middleRowsCount); // Draw final row if (viewportCappedStartRow !== viewportCappedEndRow) { // Only draw viewportEndRow if it's not the same as viewportStartRow const endCol = viewportEndRow === viewportCappedEndRow ? end[0] : this._bufferService.cols; this._fillCells(0, viewportCappedEndRow, endCol, 1); } } // Save state for next render this._state.start = [start[0], start[1]]; this._state.end = [end[0], end[1]]; this._state.columnSelectMode = columnSelectMode; this._state.ydisp = this._bufferService.buffer.ydisp; } private _didStateChange(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean, ydisp: number): boolean { return !this._areCoordinatesEqual(start, this._state.start) || !this._areCoordinatesEqual(end, this._state.end) || columnSelectMode !== this._state.columnSelectMode || ydisp !== this._state.ydisp; } private _areCoordinatesEqual(coord1: [number, number] | undefined, coord2: [number, number] | undefined): boolean { if (!coord1 || !coord2) { return false; } return coord1[0] === coord2[0] && coord1[1] === coord2[1]; } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/TextRenderLayer.ts000066400000000000000000000246731460400174500254270ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { IRenderDimensions } from 'browser/renderer/shared/Types'; import { JoinedCellData } from 'browser/services/CharacterJoinerService'; import { ICharacterJoinerService, ICoreBrowserService, IThemeService } from 'browser/services/Services'; import { CharData, ICellData } from 'common/Types'; import { AttributeData } from 'common/buffer/AttributeData'; import { CellData } from 'common/buffer/CellData'; import { Content, NULL_CELL_CODE } from 'common/buffer/Constants'; import { IBufferService, IDecorationService, IOptionsService } from 'common/services/Services'; import { Terminal } from '@xterm/xterm'; import { BaseRenderLayer } from './BaseRenderLayer'; import { GridCache } from './GridCache'; /** * This CharData looks like a null character, which will forc a clear and render * when the character changes (a regular space ' ' character may not as it's * drawn state is a cleared cell). */ // const OVERLAP_OWNED_CHAR_DATA: CharData = [null, '', 0, -1]; export class TextRenderLayer extends BaseRenderLayer { private _state: GridCache; private _characterWidth: number = 0; private _characterFont: string = ''; private _characterOverlapCache: { [key: string]: boolean } = {}; private _workCell = new CellData(); constructor( terminal: Terminal, container: HTMLElement, zIndex: number, alpha: boolean, bufferService: IBufferService, optionsService: IOptionsService, private readonly _characterJoinerService: ICharacterJoinerService, decorationService: IDecorationService, coreBrowserService: ICoreBrowserService, themeService: IThemeService ) { super(terminal, container, 'text', zIndex, alpha, themeService, bufferService, optionsService, decorationService, coreBrowserService); this._state = new GridCache(); this.register(optionsService.onSpecificOptionChange('allowTransparency', value => this._setTransparency(value))); } public resize(dim: IRenderDimensions): void { super.resize(dim); // Clear the character width cache if the font or width has changed const terminalFont = this._getFont(false, false); if (this._characterWidth !== dim.device.char.width || this._characterFont !== terminalFont) { this._characterWidth = dim.device.char.width; this._characterFont = terminalFont; this._characterOverlapCache = {}; } // Resizing the canvas discards the contents of the canvas so clear state this._state.clear(); this._state.resize(this._bufferService.cols, this._bufferService.rows); } public reset(): void { this._state.clear(); this._clearAll(); } private _forEachCell( firstRow: number, lastRow: number, callback: ( cell: ICellData, x: number, y: number ) => void ): void { for (let y = firstRow; y <= lastRow; y++) { const row = y + this._bufferService.buffer.ydisp; const line = this._bufferService.buffer.lines.get(row); const joinedRanges = this._characterJoinerService.getJoinedCharacters(row); for (let x = 0; x < this._bufferService.cols; x++) { line!.loadCell(x, this._workCell); let cell = this._workCell; // If true, indicates that the current character(s) to draw were joined. let isJoined = false; let lastCharX = x; // The character to the left is a wide character, drawing is owned by // the char at x-1 if (cell.getWidth() === 0) { continue; } // exit early for NULL and SP // NOTE: commented out due to #4120 (needs a more clever patch to keep things performant) // const code = cell.getCode(); // if (code === 0 || code === 32) { // continue; // } // Process any joined character ranges as needed. Because of how the // ranges are produced, we know that they are valid for the characters // and attributes of our input. if (joinedRanges.length > 0 && x === joinedRanges[0][0]) { isJoined = true; const range = joinedRanges.shift()!; // We already know the exact start and end column of the joined range, // so we get the string and width representing it directly cell = new JoinedCellData( this._workCell, line!.translateToString(true, range[0], range[1]), range[1] - range[0] ); // Skip over the cells occupied by this range in the loop lastCharX = range[1] - 1; } // If the character is an overlapping char and the character to the // right is a space, take ownership of the cell to the right. We skip // this check for joined characters because their rendering likely won't // yield the same result as rendering the last character individually. if (!isJoined && this._isOverlapping(cell)) { // If the character is overlapping, we want to force a re-render on every // frame. This is specifically to work around the case where two // overlaping chars `a` and `b` are adjacent, the cursor is moved to b and a // space is added. Without this, the first half of `b` would never // get removed, and `a` would not re-render because it thinks it's // already in the correct state. // this._state.cache[x][y] = OVERLAP_OWNED_CHAR_DATA; if (lastCharX < line!.length - 1 && line!.getCodePoint(lastCharX + 1) === NULL_CELL_CODE) { // patch width to 2 cell.content &= ~Content.WIDTH_MASK; cell.content |= 2 << Content.WIDTH_SHIFT; // this._clearChar(x + 1, y); // The overlapping char's char data will force a clear and render when the // overlapping char is no longer to the left of the character and also when // the space changes to another character. // this._state.cache[x + 1][y] = OVERLAP_OWNED_CHAR_DATA; } } callback( cell, x, y ); x = lastCharX; } } } /** * Draws the background for a specified range of columns. Tries to batch adjacent cells of the * same color together to reduce draw calls. */ private _drawBackground(firstRow: number, lastRow: number): void { const ctx = this._ctx; const cols = this._bufferService.cols; let startX: number = 0; let startY: number = 0; let prevFillStyle: string | null = null; ctx.save(); this._forEachCell(firstRow, lastRow, (cell, x, y) => { // libvte and xterm both draw the background (but not foreground) of invisible characters, // so we should too. let nextFillStyle = null; // null represents default background color if (cell.isInverse()) { if (cell.isFgDefault()) { nextFillStyle = this._themeService.colors.foreground.css; } else if (cell.isFgRGB()) { nextFillStyle = `rgb(${AttributeData.toColorRGB(cell.getFgColor()).join(',')})`; } else { nextFillStyle = this._themeService.colors.ansi[cell.getFgColor()].css; } } else if (cell.isBgRGB()) { nextFillStyle = `rgb(${AttributeData.toColorRGB(cell.getBgColor()).join(',')})`; } else if (cell.isBgPalette()) { nextFillStyle = this._themeService.colors.ansi[cell.getBgColor()].css; } // Get any decoration foreground/background overrides, this must be fetched before the early // exist but applied after inverse let isTop = false; this._decorationService.forEachDecorationAtCell(x, this._bufferService.buffer.ydisp + y, undefined, d => { if (d.options.layer !== 'top' && isTop) { return; } if (d.backgroundColorRGB) { nextFillStyle = d.backgroundColorRGB.css; } isTop = d.options.layer === 'top'; }); if (prevFillStyle === null) { // This is either the first iteration, or the default background was set. Either way, we // don't need to draw anything. startX = x; startY = y; } if (y !== startY) { // our row changed, draw the previous row ctx.fillStyle = prevFillStyle || ''; this._fillCells(startX, startY, cols - startX, 1); startX = x; startY = y; } else if (prevFillStyle !== nextFillStyle) { // our color changed, draw the previous characters in this row ctx.fillStyle = prevFillStyle || ''; this._fillCells(startX, startY, x - startX, 1); startX = x; startY = y; } prevFillStyle = nextFillStyle; }); // flush the last color we encountered if (prevFillStyle !== null) { ctx.fillStyle = prevFillStyle; this._fillCells(startX, startY, cols - startX, 1); } ctx.restore(); } private _drawForeground(firstRow: number, lastRow: number): void { this._forEachCell(firstRow, lastRow, (cell, x, y) => this._drawChars(cell, x, y)); } public handleGridChanged(firstRow: number, lastRow: number): void { // Resize has not been called yet if (this._state.cache.length === 0) { return; } if (this._charAtlas) { this._charAtlas.beginFrame(); } this._clearCells(0, firstRow, this._bufferService.cols, lastRow - firstRow + 1); this._drawBackground(firstRow, lastRow); this._drawForeground(firstRow, lastRow); } /** * Whether a character is overlapping to the next cell. */ private _isOverlapping(cell: ICellData): boolean { // Only single cell characters can be overlapping, rendering issues can // occur without this check if (cell.getWidth() !== 1) { return false; } // We assume that any ascii character will not overlap if (cell.getCode() < 256) { return false; } const chars = cell.getChars(); // Deliver from cache if available if (this._characterOverlapCache.hasOwnProperty(chars)) { return this._characterOverlapCache[chars]; } // Setup the font this._ctx.save(); this._ctx.font = this._characterFont; // Measure the width of the character, but Math.floor it // because that is what the renderer does when it calculates // the character dimensions we are comparing against const overlaps = Math.floor(this._ctx.measureText(chars).width) > this._characterWidth; // Restore the original context this._ctx.restore(); // Cache and return this._characterOverlapCache[chars] = overlaps; return overlaps; } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/Types.d.ts000066400000000000000000000042541460400174500236650ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ import { IDisposable } from 'common/Types'; import { IEvent } from 'common/EventEmitter'; import { IRenderDimensions } from 'browser/renderer/shared/Types'; export interface IRequestRedrawEvent { start: number; end: number; } /** * Note that IRenderer implementations should emit the refresh event after * rendering rows to the screen. */ export interface IRenderer extends IDisposable { readonly dimensions: IRenderDimensions; /** * Fires when the renderer is requesting to be redrawn on the next animation * frame but is _not_ a result of content changing (eg. selection changes). */ readonly onRequestRedraw: IEvent; handleDevicePixelRatioChange(): void; handleResize(cols: number, rows: number): void; handleCharSizeChanged(): void; handleBlur(): void; handleFocus(): void; handleSelectionChanged(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean): void; handleCursorMove(): void; handleOptionsChanged(): void; clear(): void; renderRows(start: number, end: number): void; clearTextureAtlas?(): void; } export interface IRenderLayer extends IDisposable { readonly canvas: HTMLCanvasElement; readonly cacheCanvas: HTMLCanvasElement; readonly onAddTextureAtlasCanvas: IEvent; /** * Called when the terminal loses focus. */ handleBlur(): void; /** * Called when the terminal gets focus. */ handleFocus(): void; /** * Called when the cursor is moved. */ handleCursorMove(): void; /** * Called when the data in the grid has changed (or needs to be rendered * again). */ handleGridChanged(startRow: number, endRow: number): void; /** * Calls when the selection changes. */ handleSelectionChanged(start: [number, number] | undefined, end: [number, number] | undefined, columnSelectMode: boolean): void; /** * Resize the render layer. */ resize(dim: IRenderDimensions): void; /** * Clear the state of the render layer. */ reset(): void; /** * Clears the texture atlas. */ clearTextureAtlas(): void; } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/src/tsconfig.json000066400000000000000000000014051460400174500244710ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2021", "lib": [ "dom", "es2021" ], "rootDir": ".", "outDir": "../out", "sourceMap": true, "removeComments": true, "baseUrl": ".", "paths": { "common/*": [ "../../../src/common/*" ], "browser/*": [ "../../../src/browser/*" ], "@xterm/addon-canvas": [ "../typings/addon-canvas.d.ts" ] }, "strict": true, "downlevelIteration": true, "types": [ "../../../node_modules/@types/mocha" ] }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ], "references": [ { "path": "../../../src/common" }, { "path": "../../../src/browser" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/test/000077500000000000000000000000001460400174500221525ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-canvas/test/CanvasRenderer.test.ts000066400000000000000000000023441460400174500264050ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ import test from '@playwright/test'; import { ISharedRendererTestContext, injectSharedRendererTests, injectSharedRendererTestsStandalone } from '../../../out-test/playwright/SharedRendererTests'; import { ITestContext, createTestContext, openTerminal } from '../../../out-test/playwright/TestUtils'; let ctx: ITestContext; const ctxWrapper: ISharedRendererTestContext = { value: undefined, skipCanvasExceptions: true } as any; test.beforeAll(async ({ browser }) => { ctx = await createTestContext(browser); await openTerminal(ctx); ctxWrapper.value = ctx; await ctx.page.evaluate(` window.addon = new window.CanvasAddon(true); window.term.loadAddon(window.addon); `); }); test.afterAll(async () => await ctx.page.close()); test.describe('Canvas Renderer Integration Tests', () => { // HACK: The tests fail for an unknown reason test.skip(({ browserName }) => browserName === 'webkit'); injectSharedRendererTests(ctxWrapper); injectSharedRendererTestsStandalone(ctxWrapper, async () => { await ctx.page.evaluate(` window.addon = new window.CanvasAddon(true); window.term.loadAddon(window.addon); `); }); }); xtermjs-xterm.js-9ba6c00/addons/addon-canvas/test/playwright.config.ts000066400000000000000000000011751460400174500261640ustar00rootroot00000000000000import { PlaywrightTestConfig } from '@playwright/test'; const config: PlaywrightTestConfig = { testDir: '.', timeout: 10000, projects: [ { name: 'Chrome Stable', use: { browserName: 'chromium', channel: 'chrome' } }, { name: 'Firefox Stable', use: { browserName: 'firefox' } }, { name: 'WebKit', use: { browserName: 'webkit' } } ], reporter: 'list', webServer: { command: 'npm run start-server-only', port: 3000, timeout: 120000, reuseExistingServer: !process.env.CI } }; export default config; xtermjs-xterm.js-9ba6c00/addons/addon-canvas/test/tsconfig.json000066400000000000000000000014511460400174500246620ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2015", "lib": [ "es6", ], "rootDir": ".", "outDir": "../out-test", "sourceMap": true, "removeComments": true, "baseUrl": ".", "paths": { "common/*": [ "../../../src/common/*" ], "browser/*": [ "../../../src/browser/*" ] }, "strict": true, "types": [ "../../../node_modules/@types/node", "../../../node_modules/@lunapaint/png-codec", "../../../out-test/playwright/TestUtils", "../../../out-test/playwright/SharedRendererTests" ] }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ], "references": [ { "path": "../../../src/common" }, { "path": "../../../src/browser" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/tsconfig.json000066400000000000000000000001541460400174500237020ustar00rootroot00000000000000{ "files": [], "include": [], "references": [ { "path": "./src" }, { "path": "./test" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/typings/000077500000000000000000000000001460400174500226705ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-canvas/typings/addon-canvas.d.ts000066400000000000000000000020651460400174500260230ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import { Terminal, ITerminalAddon, IEvent } from '@xterm/xterm'; declare module '@xterm/addon-canvas' { /** * An xterm.js addon that provides search functionality. */ export class CanvasAddon implements ITerminalAddon { public textureAtlas?: HTMLCanvasElement; /** * An event that is fired when the texture atlas of the renderer changes. */ public readonly onChangeTextureAtlas: IEvent; /** * An event that is fired when the a new page is added to the texture atlas. */ public readonly onAddTextureAtlasCanvas: IEvent; constructor(); /** * Activates the addon. * @param terminal The terminal the addon is being loaded in. */ public activate(terminal: Terminal): void; /** * Disposes the addon. */ public dispose(): void; /** * Clears the terminal's texture atlas and triggers a redraw. */ public clearTextureAtlas(): void; } } xtermjs-xterm.js-9ba6c00/addons/addon-canvas/webpack.config.js000066400000000000000000000014111460400174500244060ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ const path = require('path'); const addonName = 'CanvasAddon'; const mainFile = 'addon-canvas.js'; module.exports = { entry: `./out/${addonName}.js`, devtool: 'source-map', module: { rules: [ { test: /\.js$/, use: ["source-map-loader"], enforce: "pre", exclude: /node_modules/ } ] }, resolve: { modules: ['./node_modules'], extensions: [ '.js' ], alias: { common: path.resolve('../../out/common'), browser: path.resolve('../../out/browser') } }, output: { filename: mainFile, path: path.resolve('./lib'), library: addonName, libraryTarget: 'umd' }, mode: 'production' }; xtermjs-xterm.js-9ba6c00/addons/addon-fit/000077500000000000000000000000001460400174500205025ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-fit/.gitignore000066400000000000000000000000211460400174500224630ustar00rootroot00000000000000lib node_modules xtermjs-xterm.js-9ba6c00/addons/addon-fit/.npmignore000066400000000000000000000006201460400174500224770ustar00rootroot00000000000000# Blacklist - exclude everything except npm defaults such as LICENSE, etc * !*/ # Whitelist - lib/ !lib/**/*.d.ts !lib/**/*.js !lib/**/*.js.map !lib/**/*.css # Whitelist - src/ !src/**/*.ts !src/**/*.d.ts !src/**/*.js !src/**/*.js.map !src/**/*.css # Blacklist - src/ test files src/**/*.test.ts src/**/*.test.d.ts src/**/*.test.js src/**/*.test.js.map # Whitelist - typings/ !typings/*.d.ts xtermjs-xterm.js-9ba6c00/addons/addon-fit/LICENSE000066400000000000000000000021171460400174500215100ustar00rootroot00000000000000Copyright (c) 2019, The xterm.js authors (https://github.com/xtermjs/xterm.js) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. xtermjs-xterm.js-9ba6c00/addons/addon-fit/README.md000066400000000000000000000011761460400174500217660ustar00rootroot00000000000000## @xterm/addon-fit An addon for [xterm.js](https://github.com/xtermjs/xterm.js) that enables fitting the terminal's dimensions to a containing element. This addon requires xterm.js v4+. ### Install ```bash npm install --save @xterm/addon-fit ``` ### Usage ```ts import { Terminal } from '@xterm/xterm'; import { FitAddon } from '@xterm/addon-fit'; const terminal = new Terminal(); const fitAddon = new FitAddon(); terminal.loadAddon(fitAddon); terminal.open(containerElement); fitAddon.fit(); ``` See the full [API](https://github.com/xtermjs/xterm.js/blob/master/addons/addon-fit/typings/addon-fit.d.ts) for more advanced usage. xtermjs-xterm.js-9ba6c00/addons/addon-fit/package.json000066400000000000000000000011711460400174500227700ustar00rootroot00000000000000{ "name": "@xterm/addon-fit", "version": "0.10.0", "author": { "name": "The xterm.js authors", "url": "https://xtermjs.org/" }, "main": "lib/addon-fit.js", "types": "typings/addon-fit.d.ts", "repository": "https://github.com/xtermjs/xterm.js/tree/master/addons/addon-fit", "license": "MIT", "keywords": [ "terminal", "xterm", "xterm.js" ], "scripts": { "build": "../../node_modules/.bin/tsc -p .", "prepackage": "npm run build", "package": "../../node_modules/.bin/webpack", "prepublishOnly": "npm run package" }, "peerDependencies": { "@xterm/xterm": "^5.0.0" } } xtermjs-xterm.js-9ba6c00/addons/addon-fit/src/000077500000000000000000000000001460400174500212715ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-fit/src/FitAddon.ts000066400000000000000000000056511460400174500233400ustar00rootroot00000000000000/** * Copyright (c) 2017 The xterm.js authors. All rights reserved. * @license MIT */ import type { Terminal, ITerminalAddon } from '@xterm/xterm'; import type { FitAddon as IFitApi } from '@xterm/addon-fit'; import { IRenderDimensions } from 'browser/renderer/shared/Types'; interface ITerminalDimensions { /** * The number of rows in the terminal. */ rows: number; /** * The number of columns in the terminal. */ cols: number; } const MINIMUM_COLS = 2; const MINIMUM_ROWS = 1; export class FitAddon implements ITerminalAddon , IFitApi { private _terminal: Terminal | undefined; public activate(terminal: Terminal): void { this._terminal = terminal; } public dispose(): void {} public fit(): void { const dims = this.proposeDimensions(); if (!dims || !this._terminal || isNaN(dims.cols) || isNaN(dims.rows)) { return; } // TODO: Remove reliance on private API const core = (this._terminal as any)._core; // Force a full render if (this._terminal.rows !== dims.rows || this._terminal.cols !== dims.cols) { core._renderService.clear(); this._terminal.resize(dims.cols, dims.rows); } } public proposeDimensions(): ITerminalDimensions | undefined { if (!this._terminal) { return undefined; } if (!this._terminal.element || !this._terminal.element.parentElement) { return undefined; } // TODO: Remove reliance on private API const core = (this._terminal as any)._core; const dims: IRenderDimensions = core._renderService.dimensions; if (dims.css.cell.width === 0 || dims.css.cell.height === 0) { return undefined; } const scrollbarWidth = this._terminal.options.scrollback === 0 ? 0 : core.viewport.scrollBarWidth; const parentElementStyle = window.getComputedStyle(this._terminal.element.parentElement); const parentElementHeight = parseInt(parentElementStyle.getPropertyValue('height')); const parentElementWidth = Math.max(0, parseInt(parentElementStyle.getPropertyValue('width'))); const elementStyle = window.getComputedStyle(this._terminal.element); const elementPadding = { top: parseInt(elementStyle.getPropertyValue('padding-top')), bottom: parseInt(elementStyle.getPropertyValue('padding-bottom')), right: parseInt(elementStyle.getPropertyValue('padding-right')), left: parseInt(elementStyle.getPropertyValue('padding-left')) }; const elementPaddingVer = elementPadding.top + elementPadding.bottom; const elementPaddingHor = elementPadding.right + elementPadding.left; const availableHeight = parentElementHeight - elementPaddingVer; const availableWidth = parentElementWidth - elementPaddingHor - scrollbarWidth; const geometry = { cols: Math.max(MINIMUM_COLS, Math.floor(availableWidth / dims.css.cell.width)), rows: Math.max(MINIMUM_ROWS, Math.floor(availableHeight / dims.css.cell.height)) }; return geometry; } } xtermjs-xterm.js-9ba6c00/addons/addon-fit/src/tsconfig.json000066400000000000000000000011351460400174500240000ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2021", "lib": [ "dom", "es2015" ], "rootDir": ".", "outDir": "../out", "sourceMap": true, "removeComments": true, "strict": true, "types": [ "../../../node_modules/@types/mocha" ], "paths": { "browser/*": [ "../../../src/browser/*" ], "@xterm/addon-fit": [ "../typings/addon-fit.d.ts" ] } }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ], "references": [ { "path": "../../../src/browser" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-fit/test/000077500000000000000000000000001460400174500214615ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-fit/test/FitAddon.api.ts000066400000000000000000000110111460400174500242630ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ import { assert } from 'chai'; import { openTerminal, launchBrowser, timeout } from '../../../out-test/api/TestUtils'; import { Browser, Page } from '@playwright/test'; const APP = 'http://127.0.0.1:3001/test'; let browser: Browser; let page: Page; const width = 1024; const height = 768; describe('FitAddon', () => { before(async function(): Promise { browser = await launchBrowser(); page = await (await browser.newContext()).newPage(); await page.setViewportSize({ width, height }); await page.goto(APP); }); beforeEach(async function(): Promise { await page.evaluate(`document.querySelector('#terminal-container').style.display=''`); await openTerminal(page); }); after(async () => { await browser.close(); }); afterEach(async function(): Promise { await page.evaluate(`window.term.dispose()`); }); it('no terminal', async function(): Promise { await page.evaluate(`window.fit = new FitAddon();`); assert.equal(await page.evaluate(`window.fit.proposeDimensions()`), undefined); }); describe('proposeDimensions', () => { afterEach(() => unloadFit()); it('default', async function(): Promise { await loadFit(); const dimensions: {cols: number, rows: number} = await page.evaluate(`window.fit.proposeDimensions()`); assert.isAbove(dimensions.cols, 85); assert.isBelow(dimensions.cols, 88); assert.isAbove(dimensions.rows, 24); assert.isBelow(dimensions.rows, 29); }); it('width', async function(): Promise { await loadFit(1008); const dimensions: {cols: number, rows: number} = await page.evaluate(`window.fit.proposeDimensions()`); assert.isAbove(dimensions.cols, 108); assert.isBelow(dimensions.cols, 111); assert.isAbove(dimensions.rows, 24); assert.isBelow(dimensions.rows, 29); }); it('small', async function(): Promise { await loadFit(1, 1); assert.deepEqual(await page.evaluate(`window.fit.proposeDimensions()`), { cols: 2, rows: 1 }); }); it('hidden', async function(): Promise { await page.evaluate(`window.term.dispose()`); await page.evaluate(`document.querySelector('#terminal-container').style.display='none'`); await page.evaluate(`window.term = new Terminal()`); await page.evaluate(`window.term.open(document.querySelector('#terminal-container'))`); await loadFit(); const dimensions: { cols: number, rows: number } | undefined = await page.evaluate(`window.fit.proposeDimensions()`); // The value of dims will be undefined if the char measure strategy falls back to the DOM // method, so only assert if it's not undefined. if (dimensions) { assert.isAbove(dimensions.cols, 85); assert.isBelow(dimensions.cols, 88); assert.isAbove(dimensions.rows, 24); assert.isBelow(dimensions.rows, 29); } }); }); describe('fit', () => { afterEach(() => unloadFit()); it('default', async function(): Promise { await loadFit(); await page.evaluate(`window.fit.fit()`); const cols: number = await page.evaluate(`window.term.cols`); const rows: number = await page.evaluate(`window.term.rows`); assert.isAbove(cols, 85); assert.isBelow(cols, 88); assert.isAbove(rows, 24); assert.isBelow(rows, 29); }); it('width', async function(): Promise { await loadFit(1008); await page.evaluate(`window.fit.fit()`); const cols: number = await page.evaluate(`window.term.cols`); const rows: number = await page.evaluate(`window.term.rows`); assert.isAbove(cols, 108); assert.isBelow(cols, 111); assert.isAbove(rows, 24); assert.isBelow(rows, 29); }); it('small', async function(): Promise { await loadFit(1, 1); await page.evaluate(`window.fit.fit()`); assert.equal(await page.evaluate(`window.term.cols`), 2); assert.equal(await page.evaluate(`window.term.rows`), 1); }); }); }); async function loadFit(width: number = 800, height: number = 450): Promise { await page.evaluate(` window.fit = new FitAddon(); window.term.loadAddon(window.fit); document.querySelector('#terminal-container').style.width='${width}px'; document.querySelector('#terminal-container').style.height='${height}px'; `); } async function unloadFit(): Promise { await page.evaluate(`window.fit.dispose();`); } xtermjs-xterm.js-9ba6c00/addons/addon-fit/test/tsconfig.json000066400000000000000000000007041460400174500241710ustar00rootroot00000000000000{ "compilerOptions": { "module": "commonjs", "target": "es2021", "lib": [ "es2015" ], "rootDir": ".", "outDir": "../out-test", "sourceMap": true, "removeComments": true, "strict": true, "types": [ "../../../node_modules/@types/mocha", "../../../node_modules/@types/node", "../../../out-test/api/TestUtils" ] }, "include": [ "./**/*", "../../../typings/xterm.d.ts" ] } xtermjs-xterm.js-9ba6c00/addons/addon-fit/tsconfig.json000066400000000000000000000001541460400174500232110ustar00rootroot00000000000000{ "files": [], "include": [], "references": [ { "path": "./src" }, { "path": "./test" } ] } xtermjs-xterm.js-9ba6c00/addons/addon-fit/typings/000077500000000000000000000000001460400174500221775ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-fit/typings/addon-fit.d.ts000066400000000000000000000022401460400174500246340ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ import { Terminal, ITerminalAddon } from '@xterm/xterm'; declare module '@xterm/addon-fit' { /** * An xterm.js addon that enables resizing the terminal to the dimensions of * its containing element. */ export class FitAddon implements ITerminalAddon { /** * Creates a new fit addon. */ constructor(); /** * Activates the addon * @param terminal The terminal the addon is being loaded in. */ public activate(terminal: Terminal): void; /** * Disposes the addon. */ public dispose(): void; /** * Resizes the terminal to the dimensions of its containing element. */ public fit(): void; /** * Gets the proposed dimensions that will be used for a fit. */ public proposeDimensions(): ITerminalDimensions | undefined; } /** * Reprepresents the dimensions of a terminal. */ export interface ITerminalDimensions { /** * The number of rows in the terminal. */ rows: number; /** * The number of columns in the terminal. */ cols: number; } } xtermjs-xterm.js-9ba6c00/addons/addon-fit/webpack.config.js000066400000000000000000000011011460400174500237110ustar00rootroot00000000000000/** * Copyright (c) 2019 The xterm.js authors. All rights reserved. * @license MIT */ const path = require('path'); const addonName = 'FitAddon'; const mainFile = 'addon-fit.js'; module.exports = { entry: `./out/${addonName}.js`, devtool: 'source-map', module: { rules: [ { test: /\.js$/, use: ["source-map-loader"], enforce: "pre", exclude: /node_modules/ } ] }, output: { filename: mainFile, path: path.resolve('./lib'), library: addonName, libraryTarget: 'umd' }, mode: 'production' }; xtermjs-xterm.js-9ba6c00/addons/addon-image/000077500000000000000000000000001460400174500210025ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-image/.gitignore000066400000000000000000000007121460400174500227720ustar00rootroot00000000000000node_modules/ *.swp .lock-wscript lib/ out/ out-test/ out-worker/ .nyc_output/ Makefile.gyp *.Makefile *.target.gyp.mk *.node example/*.log docs/ npm-debug.log /.idea/ .env build/ .DS_Store package-lock.json yarn.lock # Keep bundled code out of Git dist/ demo/dist/ # skip benchmark & inwasm folders, except builds .benchmark/ timeline/ inwasm-sdks/ inwasm-builds/ !inwasm-builds/**/final.wat !inwasm-builds/**/final.wasm !inwasm-builds/**/definition.json xtermjs-xterm.js-9ba6c00/addons/addon-image/.npmignore000066400000000000000000000001571460400174500230040ustar00rootroot00000000000000.github fixture overwrite bootstrap.sh tsconfig.json webpack.config.js test out-test inwasm-sdks inwasm-builds xtermjs-xterm.js-9ba6c00/addons/addon-image/LICENSE000066400000000000000000000021461460400174500220120ustar00rootroot00000000000000Copyright (c) 2019, 2020, 2021, 2022, 2023 The xterm.js authors (https://github.com/xtermjs/xterm.js) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. xtermjs-xterm.js-9ba6c00/addons/addon-image/README.md000066400000000000000000000325721460400174500222720ustar00rootroot00000000000000## @xterm/addon-image Inline image output in xterm.js. Supports SIXEL and iTerm's inline image protocol (IIP). ![](fixture/example.png) ### Install from npm ```bash npm install --save @xterm/addon-image ``` ### Usage ```ts import { Terminal } from '@xterm/xterm'; import { ImageAddon, IImageAddonOptions } from '@xterm/addon-image'; // customize as needed (showing addon defaults) const customSettings: IImageAddonOptions = { enableSizeReports: true, // whether to enable CSI t reports (see below) pixelLimit: 16777216, // max. pixel size of a single image sixelSupport: true, // enable sixel support sixelScrolling: true, // whether to scroll on image output sixelPaletteLimit: 256, // initial sixel palette size sixelSizeLimit: 25000000, // size limit of a single sixel sequence storageLimit: 128, // FIFO storage limit in MB showPlaceholder: true, // whether to show a placeholder for evicted images iipSupport: true, // enable iTerm IIP support iipSizeLimit: 20000000 // size limit of a single IIP sequence } // initialization const terminal = new Terminal(); const imageAddon = new ImageAddon(customSettings); terminal.loadAddon(imageAddon); ``` ### General Notes - *IMPORTANT:* The worker approach as done in previous releases got removed. The addon contructor no longer expects a worker path as first argument. - By default the addon will activate these `windowOptions` reports on the terminal: - getWinSizePixels (CSI 14 t) - getCellSizePixels (CSI 16 t) - getWinSizeChars (CSI 18 t) to help applications getting useful terminal metrics for their image preparations. Set `enableSizeReports` in the constructor options to `false`, if you dont want the addon to alter these terminal settings. This is especially useful, if you have very strict security needs not allowing any terminal reports, or deal with `windowOptions` by other means. ### Operation Modes - **SIXEL Support** Set by default, change it with `{sixelSupport: true}`. - **Scrolling On | Off** By default scrolling is on, thus an image will advance the cursor at the bottom if needed. (see cursor positioning). If scrolling is off, the image gets painted from the top left of the current viewport and might be truncated if the image exceeds the viewport size. The cursor position does not change. You can customize this behavior with the constructor option `{sixelScrolling: false}` or with `DECSET 80` (off, binary: `\x1b [ ? 80 h`) and `DECRST 80` (on, binary: `\x1b [ ? 80 l`) during runtime. - **Cursor Positioning** If scrolling is set, the cursor will be placed at the first image column of the last image row (VT340 mode). Other cursor positioning modes as used by xterm or mintty are not supported. - **SIXEL Palette Handling** By default the addon limits the palette size to 256 registers (as demanded by the DEC specification). The limit can be increased to a maximum of 4096 registers (via `sixelPaletteLimit`). The default palette is a mixture of VT340 colors (lower 16 registers), xterm colors (up to 256) and zeros (up to 4096). There is no private/shared palette distinction, palette colors are always carried over from a previous sixel image. Restoring the default palette size and colors is possible with `XTSMGRAPHICS 1 ; 2` (binary: `\x1b[?1;2S`). It gets also restored automatically on RIS and DECSTR. Other than on older terminals, the underlying SIXEL library applies colors immediately to individual pixels (*printer mode*), thus it is technically possible to use more colors in one image than the palette has color slots. This feature is called *high-color* in libsixel. A terminal wide shared palette mode with late indexed coloring of the output is not supported, therefore palette animations cannot be used. - **SIXEL Raster Attributes Handling** If raster attributes were found in the SIXEL data (level 2), the image will always be truncated to the given height/width extend. We deviate here from the specification on purpose, as it allows several processing optimizations. For level 1 SIXEL data without any raster attributes the image can freely grow in width and height up to the last data byte, which has a much higher processing penalty. In general encoding libraries should not create level 1 data anymore and should not produce pixel information beyond the announced height/width extend. Both is discouraged by the >30 years old specification. Currently the SIXEL implementation of the addon does not take custom pixel sizes into account, a SIXEL pixel will map 1:1 to a screen pixel. - **IIP Support (iTerm's Inline Image Protocol)** Set by default, change it with `{iipSupport: true}`. The IIP implementation has the following features / restrictions (sequence will silently fail for unmet conditions): - Supported formats: PNG, JPEG and GIF - No animation support. - Image type hinting is not supported (always deducted from data header). - File download is not supported. - Filename gets parsed but not used. - Strict base64 handling as of RFC4648 §4 (standard alphabet, optional padding, no separator bytes allowed). - Payload size may not exceed CEIL(sizeParameter * 4 / 3). - Image scaling beyond terminal viewport size is allowed (e.g. `width=200%`). - Image pixel size is restricted by `pixelLimit` (pre- and post resizing). - Size parameter is restricted by `iipSizeLimit`. - Cursor positioning behaves the same as for sixel (see above). ### Storage and Drawing Settings The internal storage holds images up to `storageLimit` (in MB, calculated as 4-channel RBGA unpacked, default 100 MB). Once hit images get evicted by FIFO rules. Furthermore images on the alternate buffer will always be erased on buffer changes. The addon exposes two properties to interact with the storage limits at runtime: - `storageLimit` Change the value to your needs at runtime. This is especially useful, if you have multiple terminal instances running, that all add to one upper memory limit. - `storageUsage` Inspect the current memory usage of the image storage. By default the addon will show a placeholder pattern for evicted images that are still part of the terminal (e.g. in the scrollback). The pattern can be deactivated by toggling `showPlaceholder`. ### Image Data Retrieval The addon provides the following API endpoints to retrieve raw image data as canvas: - `getImageAtBufferCell(x: number, y: number): HTMLCanvasElement | undefined` Returns the canvas containing the original image data (not resized) at the given buffer position. The buffer position is the 0-based absolute index (including scrollback at top). - `extractTileAtBufferCell(x: number, y: number): HTMLCanvasElement | undefined` Returns a canvas containing the actual single tile image data (maybe resized) at the given buffer position. The buffer position is the 0-based absolute index (including scrollback at top). Note that the canvas gets created and data copied over for every call, thus it is not suitable for performance critical actions. ### Memory Usage The addon does most image processing in Javascript and therefore can occupy a rather big amount of memory. To get an idea where the memory gets eaten, lets look at the data flow and processing steps: - Incomming image data chunk at `term.write` (terminal) `term.write` might stock up incoming chunks. To circumvent this, you will need proper flow control (see xterm.js docs). Note that with image output it is more likely to run into this issue, as it can create lots of MBs in very short time. - Sequence Parser (terminal) The parser operates on a buffer containing up to 2^17 codepoints (~0.5 MB). - Sequence Handler - Chunk Decoding (addon) Image data chunks are processed immediately by the SIXEL decoder (streamlined). The decoder allocates memory for image pixels as needed. The allowed image size is restricted by `pixelLimit` (default 16M pixels), the decoder holds 2 pixel buffers at maximum during decoding (RGBA, ~128 MB for 16M pixels). - Sequence Handler - Image Finalization (addon) After decoding the final pixel buffer is grabbed by the sequence handler and written to a canvas of the same size (~64 MB for 16M pixels) and added to the storage. - Image Storage (addon) The image storage implements a FIFO cache, that will remove old images, if a new one arrives and `storageLimit` is hit (default 128 MB). The storage holds a canvas with the original image, and may additionally hold resized versions of images after a font rescaling. Both are accounted in `storageUsage` as a rough estimation of _pixels x 4 channels_. Following the steps above, a rough estimation of maximum memory usage by the addon can be calculated with these formulas (in bytes): ```typescript // storage alone const storageBytes = storageUsage * storageLimit * 1024 * 1024; // decoding alone const decodingBytes = sixelSizeLimit + 2 * (pixelLimit * 4); // totals // inactive decoding const totalInactive = storageBytes; // active decoding const totalActive = storageBytes + decodingBytes; ``` Note that browsers have offloading tricks for rarely touched memory segments, esp. `storageBytes` might not directly translate into real memory usage. Usage peaks will happen during active decoding of multiple big images due to the need of 2 full pixel buffers at the same time, which cannot be offloaded. Thus you may want to keep an eye on `pixelLimit` under limited memory conditions. Further note that the formulas above do not respect the Javascript object's overhead. Compared to the raw buffer needs the book keeping by these objects is rather small (<<5%). _Why should I care about memory usage at all?_ Well you don't have to, and it probably will just work fine with the addon defaults. But for bigger integrations, where much more data is held in the Javascript context (like multiple terminals on one page), it is likely to hit the engine's memory limit sooner or later under decoding and/or storage pressure. _How can I adjust the memory usage?_ - `pixelLimit` A constructor setting, thus you would have to anticipate, whether (multiple) terminals in your page gonna do lots of concurrent decoding. Since this is normally not the case and the memory usage is only temporarily peaking, a rather high value should work even with multiple terminals in one page. - `storageLimit` A constructor and a runtime setting. In conjunction with `storageUsage` you can do runtime checks and adjust the limit to your needs. If you have to lower the limit below the current usage, images will be removed in FIFO order and may turn into a placeholder in the terminal's scrollback (if `showPlaceholder` is set). When adjusting keep in mind to leave enough room for memory peaking for decoding. - `sixelSizeLimit` A constructor setting. This has only a small impact on peaking memory during decoding. It is meant to avoid processing of overly big or broken SIXEL sequences at an earlier phase, thus may stop the decoder from entering its memory intensive task for potentially invalid data. ### Terminal Interaction - Images already on the terminal screen will reshape on font-rescaling to keep the terminal cell coverage intact. This behavior might diverge from other terminals, but is in general the more desired one. - On terminal resize images may expand to the right automatically, if they were right-truncated before. They never expand to the bottom, if they were bottom-truncated before (e.g. from scrolling-off). - Text autowrapping from terminal resize may break and wrap images into multiple parts. This is unfortunate, but cannot be avoided, while sticking to the stronger terminal text-grid mechanics. (Yes images are a second class citizen on a mainly text-driven interface.) - Characters written over an image will erase the image information for affected cells. - Images are painted above BG/FG data not erasing it. More advanced "composition tricks" like painting images below FG/BG data are not possible. (We currently dont hook into BG/FG rendering itself.) - Previous image data at a cell will be erased on new image data. (We currently have no transparency composition.) ### Performance & Latency - Performance should be good enough for occasional SIXEL output from REPLs, up to downscaled movies from `mpv` with its SIXEL renderer (tested in the demo). For 3rd party xterm.js integrations this furthermore depends highly on the overall incoming data throughput. - Image processing has a high latency. Most of the latency though is inherited from xterm.js' incoming data route (PTY -> server process -> websocket -> xterm.js async parsing), where every step creates more waiting time. Since we cannot do much about that "long line", keep that in mind when you try to run more demanding applications with realtime drawing and interactive response needs. ### Status - Sixel support and image handling in xterm.js is considered beta quality. - IIP support is in alpha stage. Please file a bug for any awkwardities. ### Changelog - 0.5.0 integrate with xtermjs base repo (at v0.4.3) - 0.4.3 defer canvas creation - 0.4.2 fix image canvas resize - 0.4.1 compat release for xterm.js 5.2.0 - 0.4.0 IIP support - 0.3.1 compat release for xterm.js 5.1.0 - 0.3.0 important change: worker removed from addon - 0.2.0 compat release for xterm.js 5.0.0 - 0.1.3 bugfix: avoid striping - 0.1.2 bugfix: reset clear flag - 0.1.1 bugfixes: - clear sticky image tiles on render - create folder from bootstrap.sh - fix peer dependency in package.json xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/000077500000000000000000000000001460400174500224705ustar00rootroot00000000000000xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/endless.sh000066400000000000000000000006631460400174500244660ustar00rootroot00000000000000#!/bin/bash # sixel endless mode # Should print an endless sine curve, abort with Ctrl-C. period=200 amplitude=50 sixels=(@\$ A\$ C\$ G\$ O\$ _\$-) pi=$(echo "scale=10; 4*a(1)" | bc -l) run=true trap run=false INT echo -ne "\x1bP0;0;0q\"1;1#1;2;100;0;0#1" y=0 while $run do x=$(echo "s(2*${pi}*${y}/${period})*${amplitude}+2*${amplitude}+0.5" | bc -l) echo -ne "!${x%%.*}?${sixels[$((y%6))]}" (( y++ )) done echo -e "\x1b\\" xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/example.png000066400000000000000000002274641460400174500246500ustar00rootroot00000000000000PNG  IHDR`!Ϣ pHYs   IDATx}tV͑wjELdڸm/81!1ډ) ̊ۺYq.0t^aqiIo'N&Pv]I>'kEV?lIG[_}YZ:>>ohnn (PwB!(P@< (P@< (P@ (P@EG$P@4m/]4pρ (лN tT 48]A<T~akV5ok'gŲtYen.=tAGC*cTk~%wFҲ>vUUUu^.< ~V]_D7 .z5,o^ﾮx݂V\_JK޶ӹ;7^37{S~7-{O/h\vgmzA{?5ɏ_Hp*Ut߮?o|ᾲ}@]u瞎ʲ]7,n3ۢ?jPdߖ pq5o|k^Mm53 <5m_s,aY 䮲{zݱyfJV`#aJ OxBULI HL6ZN?<8}{3|;O~~Ke~4D$2@;}XP1 = e[]hݎX4Fyu[Pˀ{3Zuc[,Z5w:gFC ںL|.>3zhU \!rwݧ.fO&M4~b敧&ΆJn\~kvbv8tU{E'߮OrG=&{T,޸V?G6+Qhe;#ޒޱYz_|?~Ēv,#{[F߿Ch?5GpU"/Y|Kc_~Xc_% ȋ?d@U-OwnK/~7Q?/;g3oȽüGcg WD|ޘcl}L~и 7k㥗~`o+ˁK~MՊy7?h|m6_>ɯWN3[%wZh}Ccn*0rlZd: ^yOentE) _urE*=oM=+|ŗ#6`ayjd!p^sp0YWeXzkʢѦ 76<|흝m 0 3Ddžˀ#x냝} xڲPOG[F<hhKGJ{٠tή2ĆZ:x wOVVN1}'< WH0wZI%K`MNVDT‹t'zd}[~c[UՔ rGUAN5;̓՟;o[.o1k㓟$gx~ g_ _񶫀r @]>?{c9=|ߘQ|/}=K}gr/uBzßljF?qZkt53?|* \YZ(Wnkk.v>QYS wrUҭݽ-5eᚖꆺ?j[Zj֎Uy;bֹn#ulΜύqm{xɟΦ@iEGZB`1npՎkB.>O<0'H*V17n;ێ}֗:M?x?%D}_c7oƫZux|RV\׆/? +E*ן)Ik4445y_}Ow3wr Kfo-nrqO?M?iڔˊ5Z'}c I$~s{_8'=3 nk 0޶'o~yf _G_ 0_9o;vhZY@y_g^\nvAә_}?/N< _eW- =/5u{ z*g~çM2oؿy]@VWDώoNO=u׃?/~_?|»N=ɚ1ޱ@O3ѱzT4p@e]Mx橾!VTeM u, 3D14ό<_Hey3ѹ1FΜ9p[X]s㕸 JjUPZ]Sɇ[:OeaĢQ:1+hUKƖ>>g^h<j̣GΘH•dsm\/MMMގ9ǙK\ɵF`Gj'W^iG\_=7NT^M K3/(В(5NL"tCEuL,PRHE_}Zh /W ԙ>ZQZ?\UY;:k;eEG|7*~T.]}rck'_: $[,efUcaO7g7'l|)_U/~/F;Խ^=֦΁cýMvu4?:'>UZ^_mKu}}Y4nhm?d4U~庿u4u 0 ǚjX@@e^!Fv77>ѱẶS0bcQ@UUU_oJۚý-] poMՌ-^?^rdev2QsSnJzmk*9Vd<߇J _ϰy>~^k cu[B>%KiyV]X97fdky/O>v*\ջ'A-\q`tث5rՅo7_ 'nmW?/F/-/^9}lj/-~c6 -~ql&+HTˮZ!>?s⊥Ӈm,ً9Pz} LDf9F_yvb^˗޼uM|'?oEw,j׃-.{6V౳UU} s~poSuV0Ҫm=Y~3G~葟ucyume=M]n^p/<3r4kj944 XK]#/Ƙ8/be}-uGL,:406Ϫ+pM*jJ21q 7Wu=qQZaKz>͉%Ex|O/_}~ oaT]ã[ߜAگUrc'5鄲q]t5[~uE/yB<חr Y5㡒|+!~ T,'w&q~D:oբqMM`)PeW?1k@jeN-*a `N?߾z=ɍoZUW:q#z~br +G>}ꚍFq yQUDngn'+8w*\Y?sء'NFge_^ ogx7S|@-O~b}G_*lZGNWovט{ /@W~3רpO}7_ o]QNhO-.`馈/Զkm>}rD3UW8בV;ʻ:PVZkBip8Y54cg43Nu77uRp4agw zzP\c(ۻ[ýmGᮮ޺=ڳgw56a_q4 4W ,vguGysSCp6T9V639Uog}üug s{%64U5-]"&Ϫө!ޱu}]-5,ڸUvv5c7>ݙՙc/}r@ ~}ʄ*O/Rѽ=9k}}Wo-䣯g?LrUD%ywh{çPڍյ oZ ,.i7WTT\{海ߪS<@M1WЧdwq&o۾\&^}鉾v}mE(TTnl(`uwl*~ϏrK><'k6^_ x'~rNW*oR]oih~|^ G:Xus1jCch4=۪Nm eem}cQWݍ揄w`,knol~<Š:[ý5g Ttw>#44uյ G:ѱXJ1v@O[å$CCc55pzlxhǚ:ᾶʡ1>܃po zyV]7Po ԨJ&qI@_f!umm K~>I[P|H@~Ͳǜ^6eo^W|o}{K(ѠlZSWU˳%{?{LZ,;~l Y7838Ϟ>9znn_=k7(xۘqOՋ/5 PY `*rl$8CWW˳҆΁殁( e (7.6pw[s2tQ5ht5^n T{c:8mZV/߲q}IR7Fx滇\V#ǟjKv>5vnZX:p<ό~jcu;NSn3Kw&7bxinoBoGWeluht&> ۾ndinX:YDgףmB<6X]]VS UvȁJn{j&9u_$~|߶ujm{#OYR߳J'Ikw߷A IDAT}CUiiզ"3?xLMTJK6l۹skV8ѵ:9Z uӞ+v >?*ssCTj醝gҟ0}dďyV-[Ex;_i`<>s8[Ewo*@Wm79J@ K:$F<wz9衠t́mX v$QNzZsp!cƕ(?c]llxv=o3w$-ȋmfR}iOd.gx9gSbYu1x^ā9?L ,P@nj.󲭶~g17CYe{=Wxmx,~?Z6<0T; (ۭ˖Ƒ#1!T,)UCMu)U<:"w>چzn,U74ն=b_|c[s|sg!posSo(P@Z:cQըu;|RTٲ,.V.ƶζ9OJp8\Y]@z([j~޿pdfnn.>zxv_ڶg023=~xd<ڲSGFڵjM;DvPtns9'ɋnu<>6Ѕc݇#>m̒~&v޽\|][2R˳Fg"޾H v gܐȦ}:?Ԟgss3vm)FDxmU uہ~˾́mQiia)/]TڴpM(P@orw5yUsx!Ժd90ۺaJ),1ĢA v+pZpd;d459wssssC{{(P=/SyѢE (P@ҥKv@ SJOzUM] %DHLA+ +$pLJ.! ,e\1JP,&$$¨|(r{ʲma}JͲfr*D0ٌ|_MLXԙ3- =rkɔwYCDJ`4yy¸̸ŧ3 f'797dxS 9VnV[oa挷8܄J/v w@!3<QELDHLPB-9eiaY@i 09TDP6g:{LQURh Ue,Kaԛz{K´ܞ*TA_jM f&m- fK@͋gAhiǀ)zv=Gha4ʒ^.4[E'4fAV;udi)й3Xwle+c.C3&*`Ôl T-(2,#!/ BI(ˌvf KN) `Au$2$M2  rXXMk+\vNwm!JL$WL6Aa%9 >˒1_熿յ?;-c@0zg@r2°:wdu?RWU0QӜ.g{l69OK &DL@xhgY:HɺaA")rʹYO`ik[J`v,N!e>3loy*"1؜(2d38FlN9R$& 9Iap$׶D-' #8+MnRFxx_|#|Uіm93.qmIl[OlHD̈ HI%uAn%2;-+M"$ (*g.,:=K禊?U S3,`Fj5Ic9 a[&DmQen'3izXtu["ڙ:7d{͂,^n4[ ˊh,ć,ۋ"̰J< lTQ` dL)=ckt6{br,d#d\iRFUFUy\uPEl@$eF$€I3ez3ɬi#™^E27Cji#:Y"Ķ,//) 4aED?8셦AIa:DeLg]b\4"瀧 "<cx}Ҕ<+\o0-W%L75^X\"yĖbb_%a^n|jk߿bEQQ |x#ˬsW4Jl|MH2Y3*T?pEz`$w^)-c4IRY)cvP܋is3{"XNBELT*{ȧ>*{bi/z_-:OԟzS*= g"9Ml-f =ICvU}_H*M񬳘c@KORx7޼v׮( na*Hc{Z2so&q+-sn<[|yu(-78#]"bG3%*MCg$IN=4%i<1aQ2"vZ1qmڶ)eg-+fgdgW33Y$. 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EOF # For more details, please see: # https://github.com/jerch/xterm-addon-image/issues/37 # By default, sixel is in a 2:1 aspect ratio, which means # every sixel graphics linefeed (GLF) adds another 12 pixels. # With four GLFs, we have five sixel lines = 5 * 12 = 60 pixels. # Which text line that ends up on depends upon the height of your # font. On the VT340, the font is 20 pixels high. # On a VT340 sixel scrolling is on by default. DEC refers to this by # two different names "sixel scrolling" and its negation, "DECSDM" # (Sixel Display Mode). They control the same thing, so when DECSDM is # on, sixel scrolling is off, and vice versa. # When DECSDM is on, the graphic line feeds do not affect the text cursor. # How hackerb9 created the two sixel test images: # # convert -family "Courier" -style normal -density 72 -pointsize 26 -interline-spacing -12 -gravity center -fill gray80 -background none label:$'A genuine\nVT340\nwould end\n← here ' +trim +dither -colors 2 sixel:- > reference.six # # convert -family "Courier" -style normal -density 72 -pointsize 26 -interline-spacing -12 -gravity center -fill gray80 -background none label:$'Your terminal →' +trim -bordercolor none -border 2 +dither -colors 2 sixel:- > yourterminal.six xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/growing_rect.js000066400000000000000000000024111460400174500255150ustar00rootroot00000000000000const sixelEncode = require('../node_modules/sixel/lib/SixelEncoder').image2sixel; const toRGBA8888 = require('../node_modules/sixel/lib/Colors').toRGBA8888; function createRect(size, color) { const pixels = new Uint32Array(size * size); pixels.fill(toRGBA8888(...color)); return sixelEncode(new Uint8ClampedArray(pixels.buffer), size, size); } function createRectMinusOne(size, color) { const pixels = new Uint32Array(size * size); if (size - 1) { const sub = new Uint32Array(size - 1); sub.fill(toRGBA8888(...color)); const last = size * (size - 1); for (let y = 0; y < last; y += size) { pixels.set(sub, y); } } return sixelEncode(new Uint8ClampedArray(pixels.buffer), size, size); } async function main() { // clear + cursor and sixelScrolling off process.stdout.write('\x1b[2J\x1b[?25;80h'); for (let i = 1; i < 300; ++i) { await new Promise(res => setTimeout(() => { process.stdout.write(createRect(i, [0, 255, 0])); res(); }, 5)); } for (let i = 299; i >= 1; --i) { await new Promise(res => setTimeout(() => { process.stdout.write(createRectMinusOne(i, [0, 255, 0])); res(); }, 5)); } // re-enable cursor and sixel scrolling process.stdout.write('\x1b[2J\x1b[?25;80l'); } main(); 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xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/inspect_palette.sh000066400000000000000000000026641460400174500262170ustar00rootroot00000000000000#!/bin/bash function print_palette() { L=$(( LOWER / 256)) U=$(( (UPPER-1) / 256)) for ((p = $L; p <= $U; p++)) do echo "slot $((p*256))..$((p*256+255)):" echo -ne "\x1bP;1q" for i in {0..15} do a=$((i * 16 + p * 256)) for j in {0..15} do echo -ne "#$((a+j))!6~" done echo -ne "\$-" done echo -e "\x1b\\" done } colors=undefined max_colors=undefined echo "Terminal Reports (XTSMGRAPHICS):" IFS=";" read -a REPLY -s -t 1 -d "S" -p $'\e[?1;1;0S' [[ ${REPLY[1]} == "0" ]] && colors=${REPLY[2]} echo "active colors: ${colors}" IFS=";" read -a REPLY -s -t 1 -d "S" -p $'\e[?1;4;0S' [[ ${REPLY[1]} == "0" ]] && max_colors=${REPLY[2]} echo "max colors : ${max_colors}" echo # query up to colors by default # if colors is undefined (no XTSMGRAPHICS), assume 256 ARG1=${1:-${colors}} if [[ $colors == "undefined" ]] then ARG1=${1:-256} fi LOWER=0 UPPER=$ARG1 ARG2=${2:-undefined} if [[ $ARG2 != "undefined" ]] then LOWER=ARG1 UPPER=ARG2 fi if [[ $colors != "undefined" ]] then if [[ $colors -lt $UPPER ]] || [[ $colors -lt 256 ]] then echo -e "\x1b[33mNote: Active colors is smaller than test range." echo -e "A spec-conform terminal may repeat colors in 'slot mod ${colors}'.\x1b[m" echo fi else echo -e "\x1b[33mNote: Cannot query active colors." echo -e "The terminal may repeat colors beyond it max slot (e.g. slot mod 16).\x1b[m" echo fi print_palette xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/overdraw.sh000066400000000000000000000031751460400174500246630ustar00rootroot00000000000000#!/bin/bash function smiling_smiley() { echo -ne '\x1bP;2q"1;1;60;60 #6!60~$- !60~$- !60~$ !15?#1!4]!22?!4]$- #6!60~$- !60~$- !60~$- !60~$ !15?#1!4~!22?!4~$- #6!60~$ !15?#1!30N$- #6!60~$- !60~$- ' echo -ne '\x1b\\' } function indifferent_smiley() { echo -ne '\x1bP;2q"1;1;60;60 #6!60~$- !60~$- !60~$ !15?#1!4]!22?!4]$- #6!60~$- !60~$- !60~$- !60~$- !60~$ !15?#1!30N$- #6!60~$- !60~$- ' echo -ne '\x1b\\' } function sad_smiley() { echo -ne '\x1bP;2q"1;1;60;60 #6!60~$- !60~$- !60~$ !15?#1!4]!22?!4]$- #6!60~$- !60~$- !60~$- !60~$- !60~$ !15?#1!30N$ !15?#1!4o!22?!4o$- #6!60~$ !15?#1!4B!22?!4B$- #6!60~$- ' echo -ne '\x1b\\' } function smiling_smiley_slim() { echo -ne '\x1bP;1q"1;1;60;60 $- $- $- $- $- $- !15?#1!4~!22?!4~$- !15?#1!30N ' echo -ne '\x1b\\' } function indifferent_smiley_slim() { echo -ne '\x1bP;1q"1;1;60;60 $- $- $- $- $- $- !15?#6!4~!22?!4~$- !15?!4o!22?!4o$ !15?#1!30N$- !15?#6!4B!22?!4B ' echo -ne '\x1b\\' } function sad_smiley_slim() { echo -ne '\x1bP;1q"1;1;60;60 $- $- $- $- $- $- $- !15?#1!30N$ !15?#1!4o!22?!4o$- !15?#1!4B!22?!4B$- ' echo -ne '\x1b\\' } function full() { smiling_smiley sleep .5 indifferent_smiley sleep .5 sad_smiley sleep .5 indifferent_smiley sleep .5 smiling_smiley } function slim() { smiling_smiley sleep .5 indifferent_smiley_slim sleep .5 sad_smiley_slim sleep .5 indifferent_smiley_slim sleep .5 smiling_smiley_slim } # clear screen and place cursor to 1;10 echo -ne '\x1b[2J\x1b[10;1H' # switch sixel scrolling off echo -ne '\x1b[?80h' case "$1" in full ) full ;; slim ) slim ;; esac # re-enable sixel scrolling echo -ne '\x1b[?80l' xtermjs-xterm.js-9ba6c00/addons/addon-image/fixture/palette.blob000066400000000000000000006200001460400174500247640ustar00rootroot00000000000000 @@@@@@@@@@`````````` @ @ @ @ @ @ @ @ @ @ ` ` ` ` ` ` ` ` ` ` @@@@@@@@@@@ @ @ @ @ @ @ @ @ @ @@@@@@@@@@@@@@@@@@@@@`@`@`@`@`@`@`@`@`@`@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@``````````` ` ` ` ` ` ` ` ` ` `@`@`@`@`@`@`@`@`@`@```````````````````````````````````````````````````````````` @@@@@@@@@@`````````` @@@@@@@@@@`````````` @@@@@@@@@@`````````` @@@@@@@@@@`````````` @@@@@@@@@@`````````` @ @ @ @ @ @ @ @ @ @ ` ` ` ` ` ` ` ` ` ` @@@@@@@@@@@ @ @ @ @ @ @ @ @ @ @@@@@@@@@@@@@@@@@@@@@`@`@`@`@`@`@`@`@`@`@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@``````````` ` ` ` ` ` ` ` ` ` 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