diff --git a/.bazelversion b/.bazelversion index ac14c3dfaa..91ff57278e 100644 --- a/.bazelversion +++ b/.bazelversion @@ -1 +1 @@ -5.1.1 +5.2.0 diff --git a/.circleci/config.yml b/.circleci/config.yml index 254ab787e8..89ba33e5ea 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -11,7 +11,7 @@ commands: default: "x86_64" version: type: string - default: "5.1.1" + default: "5.2.0" steps: - run: name: Install bazel @@ -67,7 +67,7 @@ commands: default: "8.2.4" bazel-version: type: string - default: "5.1.1" + default: "5.2.0" bazel-platform: type: string default: "x86_64" @@ -374,7 +374,7 @@ jobs: platform: "sbsa" cudnn-version: << pipeline.parameters.cudnn-jetson-version >> trt-version-short: << pipeline.parameters.trt-jetson-version-short >> - bazel-version: "5.1.1" + bazel-version: << pipeline.parameters.bazel-version >> bazel-platform: "arm64" - run: name: Set python version @@ -430,7 +430,7 @@ jobs: platform: "x86_64" cudnn-version: << pipeline.parameters.cudnn-release-version >> trt-version-short: << pipeline.parameters.trt-release-version-short >> - bazel-version: "5.1.1" + bazel-version: << pipeline.parameters.bazel-version >> bazel-platform: "x86_64" - install-torch-from-index: torch-build: << parameters.torch-build >> @@ -475,7 +475,7 @@ jobs: platform: "x86_64" cudnn-version: << pipeline.parameters.cudnn-nightly-version >> trt-version-short: << pipeline.parameters.trt-nightly-version-short >> - bazel-version: "5.1.1" + bazel-version: << pipeline.parameters.bazel-version >> bazel-platform: "x86_64" - install-torch-from-index: torch-build: << parameters.torch-build >> @@ -526,7 +526,7 @@ jobs: platform: "x86_64" cudnn-version: << parameters.cudnn-version >> trt-version-short: << parameters.trt-version-short >> - bazel-version: "5.1.1" + bazel-version: << pipeline.parameters.bazel-version >> bazel-platform: "x86_64" - create-py-env: trt-version-long: << parameters.trt-version-long >> @@ -744,6 +744,10 @@ jobs: parameters: + bazel-version: + type: string + default: "5.2.0" + # Nightly platform config torch-nightly-build: type: string diff --git a/.clang-tidy b/.clang-tidy index 00444f8c8a..e062760cf7 100644 --- a/.clang-tidy +++ b/.clang-tidy @@ -33,4 +33,4 @@ performance-*, HeaderFilterRegex: 'torch/csrc/.*' AnalyzeTemporaryDtors: false CheckOptions: -... \ No newline at end of file +... diff --git a/.dockerignore b/.dockerignore index b00a59026e..4110d38973 100644 --- a/.dockerignore +++ b/.dockerignore @@ -61,4 +61,4 @@ examples/int8/training/vgg16/data/* examples/int8/datasets/data/* env/**/* *.ts -.nox/**/* \ No newline at end of file +.nox/**/* diff --git a/.git-blame-ignore-revs b/.git-blame-ignore-revs new file mode 100644 index 0000000000..2d913a5495 --- /dev/null +++ b/.git-blame-ignore-revs @@ -0,0 +1 @@ +e4951241210f85c1133c701b3be1abaf045975da diff --git a/.github/actions/assigner/.gitattributes b/.github/actions/assigner/.gitattributes index 44ca384943..8a211e3ca9 100644 --- a/.github/actions/assigner/.gitattributes +++ b/.github/actions/assigner/.gitattributes @@ -3,4 +3,4 @@ # don't diff machine generated files dist/index.js -diff -package-lock.json -diff \ No newline at end of file +package-lock.json -diff diff --git a/.github/actions/assigner/.gitignore b/.github/actions/assigner/.gitignore index 8be586d86d..c4ee03f189 100644 --- a/.github/actions/assigner/.gitignore +++ b/.github/actions/assigner/.gitignore @@ -1,4 +1,4 @@ .DS_Store node_modules/ lib/ -!dist \ No newline at end of file +!dist diff --git a/.github/actions/assigner/dist/index.js b/.github/actions/assigner/dist/index.js index ff9ca2bce5..948e1b6b52 100644 --- a/.github/actions/assigner/dist/index.js +++ b/.github/actions/assigner/dist/index.js @@ -3,1060 +3,1162 @@ /***/ 3109: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - var desc = Object.getOwnPropertyDescriptor(m, k); - if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { - desc = { enumerable: true, get: function() { return m[k]; } }; - } - Object.defineProperty(o, k2, desc); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -const core = __importStar(__nccwpck_require__(2186)); -const github = __importStar(__nccwpck_require__(5438)); -const yaml = __importStar(__nccwpck_require__(1917)); -const fs = __importStar(__nccwpck_require__(7147)); -function getIssueNum() { - const issue = github.context.payload.issue; - if (!issue) { + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + var desc = Object.getOwnPropertyDescriptor(m, k); + if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { + desc = { + enumerable : true, + get : function() { + return m[k]; + } + }; + } + Object.defineProperty(o, k2, desc); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + const core = __importStar(__nccwpck_require__(2186)); + const github = __importStar(__nccwpck_require__(5438)); + const yaml = __importStar(__nccwpck_require__(1917)); + const fs = __importStar(__nccwpck_require__(7147)); + function getIssueNum() { + const issue = github.context.payload.issue; + if (!issue) { const pr = github.context.payload.pull_request; if (!pr) { - return undefined; - } - else { - return pr.number; + return undefined; + } else { + return pr.number; } - } - else { + } else { return issue.number; + } } -} -async function addAssignees(ghClient, issueNum, assignees) { - await ghClient.rest.issues.addAssignees({ - owner: github.context.repo.owner, - repo: github.context.repo.repo, - issue_number: issueNum, - assignees: assignees, - }); -} -async function addReviewers(ghClient, issueNum, reviewers) { - await ghClient.rest.pulls.requestReviewers({ - owner: github.context.repo.owner, - repo: github.context.repo.repo, - pull_number: issueNum, - reviewers: reviewers, - }); -} -function readComponentOwners(configPath) { - const componentOwners = yaml.load(fs.readFileSync(configPath, "utf8")); - return componentOwners; -} -async function main() { - try { - const token = core.getInput("repo-token", { required: true }); - const configPath = core.getInput("config-path", { required: true }); + async function addAssignees(ghClient, issueNum, assignees) { + await ghClient.rest.issues.addAssignees({ + owner : github.context.repo.owner, + repo : github.context.repo.repo, + issue_number : issueNum, + assignees : assignees, + }); + } + async function addReviewers(ghClient, issueNum, reviewers) { + await ghClient.rest.pulls.requestReviewers({ + owner : github.context.repo.owner, + repo : github.context.repo.repo, + pull_number : issueNum, + reviewers : reviewers, + }); + } + function readComponentOwners(configPath) { + const componentOwners = yaml.load(fs.readFileSync(configPath, "utf8")); + return componentOwners; + } + async function main() { + try { + const token = core.getInput("repo-token", {required : true}); + const configPath = core.getInput("config-path", {required : true}); const issueNum = getIssueNum(); if (!issueNum) { - console.log("Could not retrive issue number from context, exiting"); - return; + console.log("Could not retrive issue number from context, exiting"); + return; } console.log(`Managing issue ${issueNum}`); const ghClient = github.getOctokit(token); - const { data: issue } = await ghClient.rest.issues.get({ - owner: github.context.repo.owner, - repo: github.context.repo.repo, - issue_number: issueNum, + const {data : issue} = await ghClient.rest.issues.get({ + owner : github.context.repo.owner, + repo : github.context.repo.repo, + issue_number : issueNum, }); core.debug(`Fetching issue #${issueNum}`); const componentOwners = readComponentOwners(configPath); let labels = []; let assignees = []; for (const label of issue.labels) { - // Find user for label - let labelName = ""; - if (typeof label === "string") { - labelName = label; - } - else { - if (!label.name) { - continue; - } - else { - labelName = label.name; - } - } - core.debug(`Processing ${labelName}`); - if (labelName in componentOwners) { - core.debug(`Component code owners: ${componentOwners[labelName]}`); - assignees = [...assignees, ...componentOwners[labelName]]; - console.log(assignees); + // Find user for label + let labelName = ""; + if (typeof label === "string") { + labelName = label; + } else { + if (!label.name) { + continue; + } else { + labelName = label.name; } + } + core.debug(`Processing ${labelName}`); + if (labelName in componentOwners) { + core.debug(`Component code owners: ${componentOwners[labelName]}`); + assignees = [...assignees, ...componentOwners[labelName] ]; + console.log(assignees); + } } - assignees = assignees.filter((i) => { var _a; return i !== ((_a = issue.user) === null || _a === void 0 ? void 0 : _a.login); }); + assignees = assignees.filter((i) => { + var _a; + return i !== ((_a = issue.user) === null || _a === void 0 ? void 0 : _a.login); + }); if (assignees.length > 0) { - if (!issue.pull_request) { - core.debug(`Assigning ${assignees} to issue #${issueNum}`); - await addAssignees(ghClient, issueNum, assignees); - } - else { - core.debug(`Requesting ${assignees} to review PR #${issueNum}`); - await addReviewers(ghClient, issueNum, assignees); - } - } - else { - core.debug("No addtional assignees to add"); + if (!issue.pull_request) { + core.debug(`Assigning ${assignees} to issue #${issueNum}`); + await addAssignees(ghClient, issueNum, assignees); + } else { + core.debug(`Requesting ${assignees} to review PR #${issueNum}`); + await addReviewers(ghClient, issueNum, assignees); + } + } else { + core.debug("No addtional assignees to add"); } - } - catch (error) { + } catch (error) { core.error(error); core.setFailed(error.message); + } } -} -main(); - + main(); -/***/ }), + /***/ }), /***/ 7351: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.issue = exports.issueCommand = void 0; -const os = __importStar(__nccwpck_require__(2037)); -const utils_1 = __nccwpck_require__(5278); -/** - * Commands - * - * Command Format: - * ::name key=value,key=value::message - * - * Examples: - * ::warning::This is the message - * ::set-env name=MY_VAR::some value - */ -function issueCommand(command, properties, message) { - const cmd = new Command(command, properties, message); - process.stdout.write(cmd.toString() + os.EOL); -} -exports.issueCommand = issueCommand; -function issue(name, message = '') { - issueCommand(name, {}, message); -} -exports.issue = issue; -const CMD_STRING = '::'; -class Command { - constructor(command, properties, message) { + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.issue = exports.issueCommand = void 0; + const os = __importStar(__nccwpck_require__(2037)); + const utils_1 = __nccwpck_require__(5278); + /** + * Commands + * + * Command Format: + * ::name key=value,key=value::message + * + * Examples: + * ::warning::This is the message + * ::set-env name=MY_VAR::some value + */ + function issueCommand(command, properties, message) { + const cmd = new Command(command, properties, message); + process.stdout.write(cmd.toString() + os.EOL); + } + exports.issueCommand = issueCommand; + function issue(name, message = '') { + issueCommand(name, {}, message); + } + exports.issue = issue; + const CMD_STRING = '::'; + class Command { + constructor(command, properties, message) { if (!command) { - command = 'missing.command'; + command = 'missing.command'; } this.command = command; this.properties = properties; this.message = message; - } - toString() { + } + toString() { let cmdStr = CMD_STRING + this.command; if (this.properties && Object.keys(this.properties).length > 0) { - cmdStr += ' '; - let first = true; - for (const key in this.properties) { - if (this.properties.hasOwnProperty(key)) { - const val = this.properties[key]; - if (val) { - if (first) { - first = false; - } - else { - cmdStr += ','; - } - cmdStr += `${key}=${escapeProperty(val)}`; - } + cmdStr += ' '; + let first = true; + for (const key in this.properties) { + if (this.properties.hasOwnProperty(key)) { + const val = this.properties[key]; + if (val) { + if (first) { + first = false; + } else { + cmdStr += ','; } + cmdStr += `${key}=${escapeProperty(val)}`; + } } + } } cmdStr += `${CMD_STRING}${escapeData(this.message)}`; return cmdStr; + } } -} -function escapeData(s) { - return utils_1.toCommandValue(s) - .replace(/%/g, '%25') - .replace(/\r/g, '%0D') - .replace(/\n/g, '%0A'); -} -function escapeProperty(s) { - return utils_1.toCommandValue(s) - .replace(/%/g, '%25') - .replace(/\r/g, '%0D') - .replace(/\n/g, '%0A') - .replace(/:/g, '%3A') - .replace(/,/g, '%2C'); -} -//# sourceMappingURL=command.js.map + function escapeData(s) { + return utils_1.toCommandValue(s).replace(/%/g, '%25').replace(/\r/g, '%0D').replace(/\n/g, '%0A'); + } + function escapeProperty(s) { + return utils_1.toCommandValue(s) + .replace(/%/g, '%25') + .replace(/\r/g, '%0D') + .replace(/\n/g, '%0A') + .replace(/:/g, '%3A') + .replace(/,/g, '%2C'); + } + //# sourceMappingURL=command.js.map -/***/ }), + /***/ }), /***/ 2186: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + var __awaiter = (this && this.__awaiter) || function(thisArg, _arguments, P, generator) { + function adopt(value) { + return value instanceof P ? value : new P(function(resolve) { + resolve(value); + }); + } + return new (P || (P = Promise))(function(resolve, reject) { + function fulfilled(value) { + try { + step(generator.next(value)); + } catch (e) { + reject(e); + } + } + function rejected(value) { + try { + step(generator["throw"](value)); + } catch (e) { + reject(e); + } + } + function step(result) { + result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); + } step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.getIDToken = exports.getState = exports.saveState = exports.group = exports.endGroup = exports.startGroup = exports.info = exports.notice = exports.warning = exports.error = exports.debug = exports.isDebug = exports.setFailed = exports.setCommandEcho = exports.setOutput = exports.getBooleanInput = exports.getMultilineInput = exports.getInput = exports.addPath = exports.setSecret = exports.exportVariable = exports.ExitCode = void 0; -const command_1 = __nccwpck_require__(7351); -const file_command_1 = __nccwpck_require__(717); -const utils_1 = __nccwpck_require__(5278); -const os = __importStar(__nccwpck_require__(2037)); -const path = __importStar(__nccwpck_require__(1017)); -const oidc_utils_1 = __nccwpck_require__(8041); -/** - * The code to exit an action - */ -var ExitCode; -(function (ExitCode) { + }); + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.getIDToken = exports.getState = exports.saveState = exports.group = exports.endGroup = exports.startGroup = + exports.info = exports.notice = exports.warning = exports.error = exports.debug = exports.isDebug = + exports.setFailed = exports.setCommandEcho = exports.setOutput = exports.getBooleanInput = + exports.getMultilineInput = exports.getInput = exports.addPath = exports.setSecret = + exports.exportVariable = exports.ExitCode = void 0; + const command_1 = __nccwpck_require__(7351); + const file_command_1 = __nccwpck_require__(717); + const utils_1 = __nccwpck_require__(5278); + const os = __importStar(__nccwpck_require__(2037)); + const path = __importStar(__nccwpck_require__(1017)); + const oidc_utils_1 = __nccwpck_require__(8041); /** - * A code indicating that the action was successful + * The code to exit an action */ - ExitCode[ExitCode["Success"] = 0] = "Success"; + var ExitCode; + (function(ExitCode) { + /** + * A code indicating that the action was successful + */ + ExitCode[ExitCode["Success"] = 0] = "Success"; + /** + * A code indicating that the action was a failure + */ + ExitCode[ExitCode["Failure"] = 1] = "Failure"; + })(ExitCode = exports.ExitCode || (exports.ExitCode = {})); + //----------------------------------------------------------------------- + // Variables + //----------------------------------------------------------------------- /** - * A code indicating that the action was a failure + * Sets env variable for this action and future actions in the job + * @param name the name of the variable to set + * @param val the value of the variable. Non-string values will be converted to a string via JSON.stringify */ - ExitCode[ExitCode["Failure"] = 1] = "Failure"; -})(ExitCode = exports.ExitCode || (exports.ExitCode = {})); -//----------------------------------------------------------------------- -// Variables -//----------------------------------------------------------------------- -/** - * Sets env variable for this action and future actions in the job - * @param name the name of the variable to set - * @param val the value of the variable. Non-string values will be converted to a string via JSON.stringify - */ -// eslint-disable-next-line @typescript-eslint/no-explicit-any -function exportVariable(name, val) { - const convertedVal = utils_1.toCommandValue(val); - process.env[name] = convertedVal; - const filePath = process.env['GITHUB_ENV'] || ''; - if (filePath) { + // eslint-disable-next-line @typescript-eslint/no-explicit-any + function exportVariable(name, val) { + const convertedVal = utils_1.toCommandValue(val); + process.env[name] = convertedVal; + const filePath = process.env['GITHUB_ENV'] || ''; + if (filePath) { const delimiter = '_GitHubActionsFileCommandDelimeter_'; const commandValue = `${name}<<${delimiter}${os.EOL}${convertedVal}${os.EOL}${delimiter}`; file_command_1.issueCommand('ENV', commandValue); + } else { + command_1.issueCommand('set-env', {name}, convertedVal); + } } - else { - command_1.issueCommand('set-env', { name }, convertedVal); + exports.exportVariable = exportVariable; + /** + * Registers a secret which will get masked from logs + * @param secret value of the secret + */ + function setSecret(secret) { + command_1.issueCommand('add-mask', {}, secret); } -} -exports.exportVariable = exportVariable; -/** - * Registers a secret which will get masked from logs - * @param secret value of the secret - */ -function setSecret(secret) { - command_1.issueCommand('add-mask', {}, secret); -} -exports.setSecret = setSecret; -/** - * Prepends inputPath to the PATH (for this action and future actions) - * @param inputPath - */ -function addPath(inputPath) { - const filePath = process.env['GITHUB_PATH'] || ''; - if (filePath) { + exports.setSecret = setSecret; + /** + * Prepends inputPath to the PATH (for this action and future actions) + * @param inputPath + */ + function addPath(inputPath) { + const filePath = process.env['GITHUB_PATH'] || ''; + if (filePath) { file_command_1.issueCommand('PATH', inputPath); - } - else { + } else { command_1.issueCommand('add-path', {}, inputPath); + } + process.env['PATH'] = `${inputPath}${path.delimiter}${process.env['PATH']}`; } - process.env['PATH'] = `${inputPath}${path.delimiter}${process.env['PATH']}`; -} -exports.addPath = addPath; -/** - * Gets the value of an input. - * Unless trimWhitespace is set to false in InputOptions, the value is also trimmed. - * Returns an empty string if the value is not defined. - * - * @param name name of the input to get - * @param options optional. See InputOptions. - * @returns string - */ -function getInput(name, options) { - const val = process.env[`INPUT_${name.replace(/ /g, '_').toUpperCase()}`] || ''; - if (options && options.required && !val) { - throw new Error(`Input required and not supplied: ${name}`); - } - if (options && options.trimWhitespace === false) { - return val; - } - return val.trim(); -} -exports.getInput = getInput; -/** - * Gets the values of an multiline input. Each value is also trimmed. - * - * @param name name of the input to get - * @param options optional. See InputOptions. - * @returns string[] - * - */ -function getMultilineInput(name, options) { - const inputs = getInput(name, options) - .split('\n') - .filter(x => x !== ''); - return inputs; -} -exports.getMultilineInput = getMultilineInput; -/** - * Gets the input value of the boolean type in the YAML 1.2 "core schema" specification. - * Support boolean input list: `true | True | TRUE | false | False | FALSE` . - * The return value is also in boolean type. - * ref: https://yaml.org/spec/1.2/spec.html#id2804923 - * - * @param name name of the input to get - * @param options optional. See InputOptions. - * @returns boolean - */ -function getBooleanInput(name, options) { - const trueValue = ['true', 'True', 'TRUE']; - const falseValue = ['false', 'False', 'FALSE']; - const val = getInput(name, options); - if (trueValue.includes(val)) - return true; - if (falseValue.includes(val)) - return false; - throw new TypeError(`Input does not meet YAML 1.2 "Core Schema" specification: ${name}\n` + - `Support boolean input list: \`true | True | TRUE | false | False | FALSE\``); -} -exports.getBooleanInput = getBooleanInput; -/** - * Sets the value of an output. - * - * @param name name of the output to set - * @param value value to store. Non-string values will be converted to a string via JSON.stringify - */ -// eslint-disable-next-line @typescript-eslint/no-explicit-any -function setOutput(name, value) { - process.stdout.write(os.EOL); - command_1.issueCommand('set-output', { name }, value); -} -exports.setOutput = setOutput; -/** - * Enables or disables the echoing of commands into stdout for the rest of the step. - * Echoing is disabled by default if ACTIONS_STEP_DEBUG is not set. - * - */ -function setCommandEcho(enabled) { - command_1.issue('echo', enabled ? 'on' : 'off'); -} -exports.setCommandEcho = setCommandEcho; -//----------------------------------------------------------------------- -// Results -//----------------------------------------------------------------------- -/** - * Sets the action status to failed. - * When the action exits it will be with an exit code of 1 - * @param message add error issue message - */ -function setFailed(message) { - process.exitCode = ExitCode.Failure; - error(message); -} -exports.setFailed = setFailed; -//----------------------------------------------------------------------- -// Logging Commands -//----------------------------------------------------------------------- -/** - * Gets whether Actions Step Debug is on or not - */ -function isDebug() { - return process.env['RUNNER_DEBUG'] === '1'; -} -exports.isDebug = isDebug; -/** - * Writes debug message to user log - * @param message debug message - */ -function debug(message) { - command_1.issueCommand('debug', {}, message); -} -exports.debug = debug; -/** - * Adds an error issue - * @param message error issue message. Errors will be converted to string via toString() - * @param properties optional properties to add to the annotation. - */ -function error(message, properties = {}) { - command_1.issueCommand('error', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); -} -exports.error = error; -/** - * Adds a warning issue - * @param message warning issue message. Errors will be converted to string via toString() - * @param properties optional properties to add to the annotation. - */ -function warning(message, properties = {}) { - command_1.issueCommand('warning', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); -} -exports.warning = warning; -/** - * Adds a notice issue - * @param message notice issue message. Errors will be converted to string via toString() - * @param properties optional properties to add to the annotation. - */ -function notice(message, properties = {}) { - command_1.issueCommand('notice', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); -} -exports.notice = notice; -/** - * Writes info to log with console.log. - * @param message info message - */ -function info(message) { - process.stdout.write(message + os.EOL); -} -exports.info = info; -/** - * Begin an output group. - * - * Output until the next `groupEnd` will be foldable in this group - * - * @param name The name of the output group - */ -function startGroup(name) { - command_1.issue('group', name); -} -exports.startGroup = startGroup; -/** - * End an output group. - */ -function endGroup() { - command_1.issue('endgroup'); -} -exports.endGroup = endGroup; -/** - * Wrap an asynchronous function call in a group. - * - * Returns the same type as the function itself. - * - * @param name The name of the group - * @param fn The function to wrap in the group - */ -function group(name, fn) { - return __awaiter(this, void 0, void 0, function* () { - startGroup(name); - let result; - try { - result = yield fn(); - } - finally { - endGroup(); - } - return result; - }); -} -exports.group = group; -//----------------------------------------------------------------------- -// Wrapper action state -//----------------------------------------------------------------------- -/** - * Saves state for current action, the state can only be retrieved by this action's post job execution. - * - * @param name name of the state to store - * @param value value to store. Non-string values will be converted to a string via JSON.stringify - */ -// eslint-disable-next-line @typescript-eslint/no-explicit-any -function saveState(name, value) { - command_1.issueCommand('save-state', { name }, value); -} -exports.saveState = saveState; -/** - * Gets the value of an state set by this action's main execution. - * - * @param name name of the state to get - * @returns string - */ -function getState(name) { - return process.env[`STATE_${name}`] || ''; -} -exports.getState = getState; -function getIDToken(aud) { - return __awaiter(this, void 0, void 0, function* () { - return yield oidc_utils_1.OidcClient.getIDToken(aud); - }); -} -exports.getIDToken = getIDToken; -/** - * Summary exports - */ -var summary_1 = __nccwpck_require__(1327); -Object.defineProperty(exports, "summary", ({ enumerable: true, get: function () { return summary_1.summary; } })); -/** - * @deprecated use core.summary - */ -var summary_2 = __nccwpck_require__(1327); -Object.defineProperty(exports, "markdownSummary", ({ enumerable: true, get: function () { return summary_2.markdownSummary; } })); -//# sourceMappingURL=core.js.map - -/***/ }), - -/***/ 717: -/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -// For internal use, subject to change. -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.issueCommand = void 0; -// We use any as a valid input type -/* eslint-disable @typescript-eslint/no-explicit-any */ -const fs = __importStar(__nccwpck_require__(7147)); -const os = __importStar(__nccwpck_require__(2037)); -const utils_1 = __nccwpck_require__(5278); -function issueCommand(command, message) { - const filePath = process.env[`GITHUB_${command}`]; - if (!filePath) { - throw new Error(`Unable to find environment variable for file command ${command}`); - } - if (!fs.existsSync(filePath)) { - throw new Error(`Missing file at path: ${filePath}`); - } - fs.appendFileSync(filePath, `${utils_1.toCommandValue(message)}${os.EOL}`, { - encoding: 'utf8' - }); -} -exports.issueCommand = issueCommand; -//# sourceMappingURL=file-command.js.map - -/***/ }), - -/***/ 8041: -/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.OidcClient = void 0; -const http_client_1 = __nccwpck_require__(6255); -const auth_1 = __nccwpck_require__(5526); -const core_1 = __nccwpck_require__(2186); -class OidcClient { - static createHttpClient(allowRetry = true, maxRetry = 10) { - const requestOptions = { - allowRetries: allowRetry, - maxRetries: maxRetry - }; - return new http_client_1.HttpClient('actions/oidc-client', [new auth_1.BearerCredentialHandler(OidcClient.getRequestToken())], requestOptions); - } - static getRequestToken() { - const token = process.env['ACTIONS_ID_TOKEN_REQUEST_TOKEN']; - if (!token) { - throw new Error('Unable to get ACTIONS_ID_TOKEN_REQUEST_TOKEN env variable'); - } - return token; - } - static getIDTokenUrl() { - const runtimeUrl = process.env['ACTIONS_ID_TOKEN_REQUEST_URL']; - if (!runtimeUrl) { - throw new Error('Unable to get ACTIONS_ID_TOKEN_REQUEST_URL env variable'); - } - return runtimeUrl; - } - static getCall(id_token_url) { - var _a; - return __awaiter(this, void 0, void 0, function* () { - const httpclient = OidcClient.createHttpClient(); - const res = yield httpclient - .getJson(id_token_url) - .catch(error => { - throw new Error(`Failed to get ID Token. \n - Error Code : ${error.statusCode}\n - Error Message: ${error.result.message}`); - }); - const id_token = (_a = res.result) === null || _a === void 0 ? void 0 : _a.value; - if (!id_token) { - throw new Error('Response json body do not have ID Token field'); - } - return id_token; - }); - } - static getIDToken(audience) { - return __awaiter(this, void 0, void 0, function* () { - try { - // New ID Token is requested from action service - let id_token_url = OidcClient.getIDTokenUrl(); - if (audience) { - const encodedAudience = encodeURIComponent(audience); - id_token_url = `${id_token_url}&audience=${encodedAudience}`; - } - core_1.debug(`ID token url is ${id_token_url}`); - const id_token = yield OidcClient.getCall(id_token_url); - core_1.setSecret(id_token); - return id_token; - } - catch (error) { - throw new Error(`Error message: ${error.message}`); - } - }); - } -} -exports.OidcClient = OidcClient; -//# sourceMappingURL=oidc-utils.js.map - -/***/ }), - -/***/ 1327: -/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.summary = exports.markdownSummary = exports.SUMMARY_DOCS_URL = exports.SUMMARY_ENV_VAR = void 0; -const os_1 = __nccwpck_require__(2037); -const fs_1 = __nccwpck_require__(7147); -const { access, appendFile, writeFile } = fs_1.promises; -exports.SUMMARY_ENV_VAR = 'GITHUB_STEP_SUMMARY'; -exports.SUMMARY_DOCS_URL = 'https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-job-summary'; -class Summary { - constructor() { - this._buffer = ''; - } + exports.addPath = addPath; /** - * Finds the summary file path from the environment, rejects if env var is not found or file does not exist - * Also checks r/w permissions. + * Gets the value of an input. + * Unless trimWhitespace is set to false in InputOptions, the value is also trimmed. + * Returns an empty string if the value is not defined. * - * @returns step summary file path + * @param name name of the input to get + * @param options optional. See InputOptions. + * @returns string */ - filePath() { - return __awaiter(this, void 0, void 0, function* () { - if (this._filePath) { - return this._filePath; - } - const pathFromEnv = process.env[exports.SUMMARY_ENV_VAR]; - if (!pathFromEnv) { - throw new Error(`Unable to find environment variable for $${exports.SUMMARY_ENV_VAR}. Check if your runtime environment supports job summaries.`); - } - try { - yield access(pathFromEnv, fs_1.constants.R_OK | fs_1.constants.W_OK); - } - catch (_a) { - throw new Error(`Unable to access summary file: '${pathFromEnv}'. Check if the file has correct read/write permissions.`); - } - this._filePath = pathFromEnv; - return this._filePath; - }); + function getInput(name, options) { + const val = process.env[`INPUT_${name.replace(/ /g, '_').toUpperCase()}`] || ''; + if (options && options.required && !val) { + throw new Error(`Input required and not supplied: ${name}`); + } + if (options && options.trimWhitespace === false) { + return val; + } + return val.trim(); } + exports.getInput = getInput; /** - * Wraps content in an HTML tag, adding any HTML attributes + * Gets the values of an multiline input. Each value is also trimmed. * - * @param {string} tag HTML tag to wrap - * @param {string | null} content content within the tag - * @param {[attribute: string]: string} attrs key-value list of HTML attributes to add + * @param name name of the input to get + * @param options optional. See InputOptions. + * @returns string[] * - * @returns {string} content wrapped in HTML element */ - wrap(tag, content, attrs = {}) { - const htmlAttrs = Object.entries(attrs) - .map(([key, value]) => ` ${key}="${value}"`) - .join(''); - if (!content) { - return `<${tag}${htmlAttrs}>`; - } - return `<${tag}${htmlAttrs}>${content}`; + function getMultilineInput(name, options) { + const inputs = getInput(name, options).split('\n').filter(x => x !== ''); + return inputs; } + exports.getMultilineInput = getMultilineInput; /** - * Writes text in the buffer to the summary buffer file and empties buffer. Will append by default. + * Gets the input value of the boolean type in the YAML 1.2 "core schema" specification. + * Support boolean input list: `true | True | TRUE | false | False | FALSE` . + * The return value is also in boolean type. + * ref: https://yaml.org/spec/1.2/spec.html#id2804923 * - * @param {SummaryWriteOptions} [options] (optional) options for write operation - * - * @returns {Promise} summary instance + * @param name name of the input to get + * @param options optional. See InputOptions. + * @returns boolean */ - write(options) { - return __awaiter(this, void 0, void 0, function* () { - const overwrite = !!(options === null || options === void 0 ? void 0 : options.overwrite); - const filePath = yield this.filePath(); - const writeFunc = overwrite ? writeFile : appendFile; - yield writeFunc(filePath, this._buffer, { encoding: 'utf8' }); - return this.emptyBuffer(); - }); + function getBooleanInput(name, options) { + const trueValue = [ 'true', 'True', 'TRUE' ]; + const falseValue = [ 'false', 'False', 'FALSE' ]; + const val = getInput(name, options); + if (trueValue.includes(val)) + return true; + if (falseValue.includes(val)) + return false; + throw new TypeError( + `Input does not meet YAML 1.2 "Core Schema" specification: ${name}\n` + + `Support boolean input list: \`true | True | TRUE | false | False | FALSE\``); } + exports.getBooleanInput = getBooleanInput; /** - * Clears the summary buffer and wipes the summary file + * Sets the value of an output. * - * @returns {Summary} summary instance + * @param name name of the output to set + * @param value value to store. Non-string values will be converted to a string via JSON.stringify */ - clear() { - return __awaiter(this, void 0, void 0, function* () { - return this.emptyBuffer().write({ overwrite: true }); - }); + // eslint-disable-next-line @typescript-eslint/no-explicit-any + function setOutput(name, value) { + process.stdout.write(os.EOL); + command_1.issueCommand('set-output', {name}, value); } + exports.setOutput = setOutput; /** - * Returns the current summary buffer as a string + * Enables or disables the echoing of commands into stdout for the rest of the step. + * Echoing is disabled by default if ACTIONS_STEP_DEBUG is not set. * - * @returns {string} string of summary buffer */ - stringify() { - return this._buffer; + function setCommandEcho(enabled) { + command_1.issue('echo', enabled ? 'on' : 'off'); } + exports.setCommandEcho = setCommandEcho; + //----------------------------------------------------------------------- + // Results + //----------------------------------------------------------------------- /** - * If the summary buffer is empty - * - * @returns {boolen} true if the buffer is empty + * Sets the action status to failed. + * When the action exits it will be with an exit code of 1 + * @param message add error issue message */ - isEmptyBuffer() { - return this._buffer.length === 0; - } + function setFailed(message) { + process.exitCode = ExitCode.Failure; + error(message); + } + exports.setFailed = setFailed; + //----------------------------------------------------------------------- + // Logging Commands + //----------------------------------------------------------------------- /** - * Resets the summary buffer without writing to summary file - * - * @returns {Summary} summary instance + * Gets whether Actions Step Debug is on or not */ - emptyBuffer() { - this._buffer = ''; - return this; + function isDebug() { + return process.env['RUNNER_DEBUG'] === '1'; } + exports.isDebug = isDebug; /** - * Adds raw text to the summary buffer - * - * @param {string} text content to add - * @param {boolean} [addEOL=false] (optional) append an EOL to the raw text (default: false) - * - * @returns {Summary} summary instance + * Writes debug message to user log + * @param message debug message */ - addRaw(text, addEOL = false) { - this._buffer += text; - return addEOL ? this.addEOL() : this; + function debug(message) { + command_1.issueCommand('debug', {}, message); } + exports.debug = debug; /** - * Adds the operating system-specific end-of-line marker to the buffer - * - * @returns {Summary} summary instance + * Adds an error issue + * @param message error issue message. Errors will be converted to string via toString() + * @param properties optional properties to add to the annotation. */ - addEOL() { - return this.addRaw(os_1.EOL); + function error(message, properties = {}) { + command_1.issueCommand( + 'error', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); } + exports.error = error; /** - * Adds an HTML codeblock to the summary buffer - * - * @param {string} code content to render within fenced code block - * @param {string} lang (optional) language to syntax highlight code - * - * @returns {Summary} summary instance + * Adds a warning issue + * @param message warning issue message. Errors will be converted to string via toString() + * @param properties optional properties to add to the annotation. */ - addCodeBlock(code, lang) { - const attrs = Object.assign({}, (lang && { lang })); - const element = this.wrap('pre', this.wrap('code', code), attrs); - return this.addRaw(element).addEOL(); + function warning(message, properties = {}) { + command_1.issueCommand( + 'warning', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); } + exports.warning = warning; /** - * Adds an HTML list to the summary buffer - * - * @param {string[]} items list of items to render - * @param {boolean} [ordered=false] (optional) if the rendered list should be ordered or not (default: false) - * - * @returns {Summary} summary instance + * Adds a notice issue + * @param message notice issue message. Errors will be converted to string via toString() + * @param properties optional properties to add to the annotation. */ - addList(items, ordered = false) { - const tag = ordered ? 'ol' : 'ul'; - const listItems = items.map(item => this.wrap('li', item)).join(''); - const element = this.wrap(tag, listItems); - return this.addRaw(element).addEOL(); + function notice(message, properties = {}) { + command_1.issueCommand( + 'notice', utils_1.toCommandProperties(properties), message instanceof Error ? message.toString() : message); } + exports.notice = notice; /** - * Adds an HTML table to the summary buffer - * - * @param {SummaryTableCell[]} rows table rows - * - * @returns {Summary} summary instance + * Writes info to log with console.log. + * @param message info message */ - addTable(rows) { - const tableBody = rows - .map(row => { - const cells = row - .map(cell => { - if (typeof cell === 'string') { - return this.wrap('td', cell); - } - const { header, data, colspan, rowspan } = cell; - const tag = header ? 'th' : 'td'; - const attrs = Object.assign(Object.assign({}, (colspan && { colspan })), (rowspan && { rowspan })); - return this.wrap(tag, data, attrs); - }) - .join(''); - return this.wrap('tr', cells); - }) - .join(''); - const element = this.wrap('table', tableBody); - return this.addRaw(element).addEOL(); + function info(message) { + process.stdout.write(message + os.EOL); } + exports.info = info; /** - * Adds a collapsable HTML details element to the summary buffer + * Begin an output group. * - * @param {string} label text for the closed state - * @param {string} content collapsable content + * Output until the next `groupEnd` will be foldable in this group * - * @returns {Summary} summary instance + * @param name The name of the output group */ - addDetails(label, content) { - const element = this.wrap('details', this.wrap('summary', label) + content); - return this.addRaw(element).addEOL(); + function startGroup(name) { + command_1.issue('group', name); } + exports.startGroup = startGroup; /** - * Adds an HTML image tag to the summary buffer - * - * @param {string} src path to the image you to embed - * @param {string} alt text description of the image - * @param {SummaryImageOptions} options (optional) addition image attributes - * - * @returns {Summary} summary instance + * End an output group. */ - addImage(src, alt, options) { - const { width, height } = options || {}; - const attrs = Object.assign(Object.assign({}, (width && { width })), (height && { height })); - const element = this.wrap('img', null, Object.assign({ src, alt }, attrs)); - return this.addRaw(element).addEOL(); + function endGroup() { + command_1.issue('endgroup'); } + exports.endGroup = endGroup; /** - * Adds an HTML section heading element + * Wrap an asynchronous function call in a group. * - * @param {string} text heading text - * @param {number | string} [level=1] (optional) the heading level, default: 1 + * Returns the same type as the function itself. * - * @returns {Summary} summary instance + * @param name The name of the group + * @param fn The function to wrap in the group */ - addHeading(text, level) { - const tag = `h${level}`; - const allowedTag = ['h1', 'h2', 'h3', 'h4', 'h5', 'h6'].includes(tag) - ? tag - : 'h1'; - const element = this.wrap(allowedTag, text); - return this.addRaw(element).addEOL(); + function group(name, fn) { + return __awaiter(this, void 0, void 0, function*() { + startGroup(name); + let result; + try { + result = yield fn(); + } finally { + endGroup(); + } + return result; + }); } + exports.group = group; + //----------------------------------------------------------------------- + // Wrapper action state + //----------------------------------------------------------------------- /** - * Adds an HTML thematic break (
) to the summary buffer + * Saves state for current action, the state can only be retrieved by this action's post job execution. * - * @returns {Summary} summary instance + * @param name name of the state to store + * @param value value to store. Non-string values will be converted to a string via JSON.stringify */ - addSeparator() { - const element = this.wrap('hr', null); - return this.addRaw(element).addEOL(); + // eslint-disable-next-line @typescript-eslint/no-explicit-any + function saveState(name, value) { + command_1.issueCommand('save-state', {name}, value); } + exports.saveState = saveState; /** - * Adds an HTML line break (
) to the summary buffer + * Gets the value of an state set by this action's main execution. * - * @returns {Summary} summary instance + * @param name name of the state to get + * @returns string */ - addBreak() { - const element = this.wrap('br', null); - return this.addRaw(element).addEOL(); + function getState(name) { + return process.env[`STATE_${name}`] || ''; } + exports.getState = getState; + function getIDToken(aud) { + return __awaiter(this, void 0, void 0, function*() { + return yield oidc_utils_1.OidcClient.getIDToken(aud); + }); + } + exports.getIDToken = getIDToken; /** - * Adds an HTML blockquote to the summary buffer - * - * @param {string} text quote text - * @param {string} cite (optional) citation url - * - * @returns {Summary} summary instance + * Summary exports */ - addQuote(text, cite) { - const attrs = Object.assign({}, (cite && { cite })); + var summary_1 = __nccwpck_require__(1327); + Object.defineProperty(exports, "summary", ({ + enumerable : true, + get : function() { + return summary_1.summary; + } + })); + /** + * @deprecated use core.summary + */ + var summary_2 = __nccwpck_require__(1327); + Object.defineProperty(exports, "markdownSummary", ({ + enumerable : true, + get : function() { + return summary_2.markdownSummary; + } + })); + //# sourceMappingURL=core.js.map + + /***/ }), + +/***/ 717: +/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { + "use strict"; + + // For internal use, subject to change. + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.issueCommand = void 0; + // We use any as a valid input type + /* eslint-disable @typescript-eslint/no-explicit-any */ + const fs = __importStar(__nccwpck_require__(7147)); + const os = __importStar(__nccwpck_require__(2037)); + const utils_1 = __nccwpck_require__(5278); + function issueCommand(command, message) { + const filePath = process.env[`GITHUB_${command}`]; + if (!filePath) { + throw new Error(`Unable to find environment variable for file command ${command}`); + } + if (!fs.existsSync(filePath)) { + throw new Error(`Missing file at path: ${filePath}`); + } + fs.appendFileSync(filePath, `${utils_1.toCommandValue(message)}${os.EOL}`, {encoding : 'utf8'}); + } + exports.issueCommand = issueCommand; + //# sourceMappingURL=file-command.js.map + + /***/ }), + +/***/ 8041: +/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { + "use strict"; + + var __awaiter = (this && this.__awaiter) || function(thisArg, _arguments, P, generator) { + function adopt(value) { + return value instanceof P ? value : new P(function(resolve) { + resolve(value); + }); + } + return new (P || (P = Promise))(function(resolve, reject) { + function fulfilled(value) { + try { + step(generator.next(value)); + } catch (e) { + reject(e); + } + } + function rejected(value) { + try { + step(generator["throw"](value)); + } catch (e) { + reject(e); + } + } + function step(result) { + result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); + } + step((generator = generator.apply(thisArg, _arguments || [])).next()); + }); + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.OidcClient = void 0; + const http_client_1 = __nccwpck_require__(6255); + const auth_1 = __nccwpck_require__(5526); + const core_1 = __nccwpck_require__(2186); + class OidcClient { + static createHttpClient(allowRetry = true, maxRetry = 10) { + const requestOptions = {allowRetries : allowRetry, maxRetries : maxRetry}; + return new http_client_1.HttpClient( + 'actions/oidc-client', + [ new auth_1.BearerCredentialHandler(OidcClient.getRequestToken()) ], + requestOptions); + } + static getRequestToken() { + const token = process.env['ACTIONS_ID_TOKEN_REQUEST_TOKEN']; + if (!token) { + throw new Error('Unable to get ACTIONS_ID_TOKEN_REQUEST_TOKEN env variable'); + } + return token; + } + static getIDTokenUrl() { + const runtimeUrl = process.env['ACTIONS_ID_TOKEN_REQUEST_URL']; + if (!runtimeUrl) { + throw new Error('Unable to get ACTIONS_ID_TOKEN_REQUEST_URL env variable'); + } + return runtimeUrl; + } + static getCall(id_token_url) { + var _a; + return __awaiter(this, void 0, void 0, function*() { + const httpclient = OidcClient.createHttpClient(); + const res = yield httpclient.getJson(id_token_url).catch(error => { + throw new Error(`Failed to get ID Token. \n + Error Code : ${error.statusCode}\n + Error Message: ${error.result.message}`); + }); + const id_token = (_a = res.result) === null || _a === void 0 ? void 0 : _a.value; + if (!id_token) { + throw new Error('Response json body do not have ID Token field'); + } + return id_token; + }); + } + static getIDToken(audience) { + return __awaiter(this, void 0, void 0, function*() { + try { + // New ID Token is requested from action service + let id_token_url = OidcClient.getIDTokenUrl(); + if (audience) { + const encodedAudience = encodeURIComponent(audience); + id_token_url = `${id_token_url}&audience=${encodedAudience}`; + } + core_1.debug(`ID token url is ${id_token_url}`); + const id_token = yield OidcClient.getCall(id_token_url); + core_1.setSecret(id_token); + return id_token; + } catch (error) { + throw new Error(`Error message: ${error.message}`); + } + }); + } + } + exports.OidcClient = OidcClient; + //# sourceMappingURL=oidc-utils.js.map + + /***/ }), + +/***/ 1327: +/***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { + "use strict"; + + var __awaiter = (this && this.__awaiter) || function(thisArg, _arguments, P, generator) { + function adopt(value) { + return value instanceof P ? value : new P(function(resolve) { + resolve(value); + }); + } + return new (P || (P = Promise))(function(resolve, reject) { + function fulfilled(value) { + try { + step(generator.next(value)); + } catch (e) { + reject(e); + } + } + function rejected(value) { + try { + step(generator["throw"](value)); + } catch (e) { + reject(e); + } + } + function step(result) { + result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); + } + step((generator = generator.apply(thisArg, _arguments || [])).next()); + }); + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.summary = exports.markdownSummary = exports.SUMMARY_DOCS_URL = exports.SUMMARY_ENV_VAR = void 0; + const os_1 = __nccwpck_require__(2037); + const fs_1 = __nccwpck_require__(7147); + const {access, appendFile, writeFile} = fs_1.promises; + exports.SUMMARY_ENV_VAR = 'GITHUB_STEP_SUMMARY'; + exports.SUMMARY_DOCS_URL = + 'https://docs.github.com/actions/using-workflows/workflow-commands-for-github-actions#adding-a-job-summary'; + class Summary { + constructor() { + this._buffer = ''; + } + /** + * Finds the summary file path from the environment, rejects if env var is not found or file does not exist + * Also checks r/w permissions. + * + * @returns step summary file path + */ + filePath() { + return __awaiter(this, void 0, void 0, function*() { + if (this._filePath) { + return this._filePath; + } + const pathFromEnv = process.env[exports.SUMMARY_ENV_VAR]; + if (!pathFromEnv) { + throw new Error(`Unable to find environment variable for $${ + exports.SUMMARY_ENV_VAR}. Check if your runtime environment supports job summaries.`); + } + try { + yield access(pathFromEnv, fs_1.constants.R_OK | fs_1.constants.W_OK); + } catch (_a) { + throw new Error(`Unable to access summary file: '${ + pathFromEnv}'. Check if the file has correct read/write permissions.`); + } + this._filePath = pathFromEnv; + return this._filePath; + }); + } + /** + * Wraps content in an HTML tag, adding any HTML attributes + * + * @param {string} tag HTML tag to wrap + * @param {string | null} content content within the tag + * @param {[attribute: string]: string} attrs key-value list of HTML attributes to add + * + * @returns {string} content wrapped in HTML element + */ + wrap(tag, content, attrs = {}) { + const htmlAttrs = Object.entries(attrs).map(([ key, value ]) => ` ${key}="${value}"`).join(''); + if (!content) { + return `<${tag}${htmlAttrs}>`; + } + return `<${tag}${htmlAttrs}>${content}`; + } + /** + * Writes text in the buffer to the summary buffer file and empties buffer. Will append by default. + * + * @param {SummaryWriteOptions} [options] (optional) options for write operation + * + * @returns {Promise} summary instance + */ + write(options) { + return __awaiter(this, void 0, void 0, function*() { + const overwrite = !!(options === null || options === void 0 ? void 0 : options.overwrite); + const filePath = yield this.filePath(); + const writeFunc = overwrite ? writeFile : appendFile; + yield writeFunc(filePath, this._buffer, {encoding : 'utf8'}); + return this.emptyBuffer(); + }); + } + /** + * Clears the summary buffer and wipes the summary file + * + * @returns {Summary} summary instance + */ + clear() { + return __awaiter(this, void 0, void 0, function*() { + return this.emptyBuffer().write({overwrite : true}); + }); + } + /** + * Returns the current summary buffer as a string + * + * @returns {string} string of summary buffer + */ + stringify() { + return this._buffer; + } + /** + * If the summary buffer is empty + * + * @returns {boolen} true if the buffer is empty + */ + isEmptyBuffer() { + return this._buffer.length === 0; + } + /** + * Resets the summary buffer without writing to summary file + * + * @returns {Summary} summary instance + */ + emptyBuffer() { + this._buffer = ''; + return this; + } + /** + * Adds raw text to the summary buffer + * + * @param {string} text content to add + * @param {boolean} [addEOL=false] (optional) append an EOL to the raw text (default: false) + * + * @returns {Summary} summary instance + */ + addRaw(text, addEOL = false) { + this._buffer += text; + return addEOL ? this.addEOL() : this; + } + /** + * Adds the operating system-specific end-of-line marker to the buffer + * + * @returns {Summary} summary instance + */ + addEOL() { + return this.addRaw(os_1.EOL); + } + /** + * Adds an HTML codeblock to the summary buffer + * + * @param {string} code content to render within fenced code block + * @param {string} lang (optional) language to syntax highlight code + * + * @returns {Summary} summary instance + */ + addCodeBlock(code, lang) { + const attrs = Object.assign({}, (lang && {lang})); + const element = this.wrap('pre', this.wrap('code', code), attrs); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML list to the summary buffer + * + * @param {string[]} items list of items to render + * @param {boolean} [ordered=false] (optional) if the rendered list should be ordered or not (default: false) + * + * @returns {Summary} summary instance + */ + addList(items, ordered = false) { + const tag = ordered ? 'ol' : 'ul'; + const listItems = items.map(item => this.wrap('li', item)).join(''); + const element = this.wrap(tag, listItems); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML table to the summary buffer + * + * @param {SummaryTableCell[]} rows table rows + * + * @returns {Summary} summary instance + */ + addTable(rows) { + const tableBody = rows.map(row => { + const cells = + row.map(cell => { + if (typeof cell === 'string') { + return this.wrap('td', cell); + } + const {header, data, colspan, rowspan} = cell; + const tag = header ? 'th' : 'td'; + const attrs = Object.assign( + Object.assign({}, (colspan && {colspan})), (rowspan && {rowspan})); + return this.wrap(tag, data, attrs); + }) + .join(''); + return this.wrap('tr', cells); + }) + .join(''); + const element = this.wrap('table', tableBody); + return this.addRaw(element).addEOL(); + } + /** + * Adds a collapsable HTML details element to the summary buffer + * + * @param {string} label text for the closed state + * @param {string} content collapsable content + * + * @returns {Summary} summary instance + */ + addDetails(label, content) { + const element = this.wrap('details', this.wrap('summary', label) + content); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML image tag to the summary buffer + * + * @param {string} src path to the image you to embed + * @param {string} alt text description of the image + * @param {SummaryImageOptions} options (optional) addition image attributes + * + * @returns {Summary} summary instance + */ + addImage(src, alt, options) { + const {width, height} = options || {}; + const attrs = Object.assign(Object.assign({}, (width && {width})), (height && {height})); + const element = this.wrap('img', null, Object.assign({src, alt}, attrs)); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML section heading element + * + * @param {string} text heading text + * @param {number | string} [level=1] (optional) the heading level, default: 1 + * + * @returns {Summary} summary instance + */ + addHeading(text, level) { + const tag = `h${level}`; + const allowedTag = [ 'h1', 'h2', 'h3', 'h4', 'h5', 'h6' ].includes(tag) ? tag : 'h1'; + const element = this.wrap(allowedTag, text); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML thematic break (
) to the summary buffer + * + * @returns {Summary} summary instance + */ + addSeparator() { + const element = this.wrap('hr', null); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML line break (
) to the summary buffer + * + * @returns {Summary} summary instance + */ + addBreak() { + const element = this.wrap('br', null); + return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML blockquote to the summary buffer + * + * @param {string} text quote text + * @param {string} cite (optional) citation url + * + * @returns {Summary} summary instance + */ + addQuote(text, cite) { + const attrs = Object.assign({}, (cite && {cite})); const element = this.wrap('blockquote', text, attrs); return this.addRaw(element).addEOL(); + } + /** + * Adds an HTML anchor tag to the summary buffer + * + * @param {string} text link text/content + * @param {string} href hyperlink + * + * @returns {Summary} summary instance + */ + addLink(text, href) { + const element = this.wrap('a', text, {href}); + return this.addRaw(element).addEOL(); + } } + const _summary = new Summary(); /** - * Adds an HTML anchor tag to the summary buffer - * - * @param {string} text link text/content - * @param {string} href hyperlink - * - * @returns {Summary} summary instance + * @deprecated use `core.summary` */ - addLink(text, href) { - const element = this.wrap('a', text, { href }); - return this.addRaw(element).addEOL(); - } -} -const _summary = new Summary(); -/** - * @deprecated use `core.summary` - */ -exports.markdownSummary = _summary; -exports.summary = _summary; -//# sourceMappingURL=summary.js.map + exports.markdownSummary = _summary; + exports.summary = _summary; + //# sourceMappingURL=summary.js.map -/***/ }), + /***/ }), /***/ 5278: /***/ ((__unused_webpack_module, exports) => { + "use strict"; -"use strict"; - -// We use any as a valid input type -/* eslint-disable @typescript-eslint/no-explicit-any */ -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.toCommandProperties = exports.toCommandValue = void 0; -/** - * Sanitizes an input into a string so it can be passed into issueCommand safely - * @param input input to sanitize into a string - */ -function toCommandValue(input) { - if (input === null || input === undefined) { + // We use any as a valid input type + /* eslint-disable @typescript-eslint/no-explicit-any */ + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.toCommandProperties = exports.toCommandValue = void 0; + /** + * Sanitizes an input into a string so it can be passed into issueCommand safely + * @param input input to sanitize into a string + */ + function toCommandValue(input) { + if (input === null || input === undefined) { return ''; - } - else if (typeof input === 'string' || input instanceof String) { + } else if (typeof input === 'string' || input instanceof String) { return input; + } + return JSON.stringify(input); } - return JSON.stringify(input); -} -exports.toCommandValue = toCommandValue; -/** - * - * @param annotationProperties - * @returns The command properties to send with the actual annotation command - * See IssueCommandProperties: https://github.com/actions/runner/blob/main/src/Runner.Worker/ActionCommandManager.cs#L646 - */ -function toCommandProperties(annotationProperties) { - if (!Object.keys(annotationProperties).length) { + exports.toCommandValue = toCommandValue; + /** + * + * @param annotationProperties + * @returns The command properties to send with the actual annotation command + * See IssueCommandProperties: + * https://github.com/actions/runner/blob/main/src/Runner.Worker/ActionCommandManager.cs#L646 + */ + function toCommandProperties(annotationProperties) { + if (!Object.keys(annotationProperties).length) { return {}; + } + return { + title : annotationProperties.title, + file : annotationProperties.file, + line : annotationProperties.startLine, + endLine : annotationProperties.endLine, + col : annotationProperties.startColumn, + endColumn : annotationProperties.endColumn + }; } - return { - title: annotationProperties.title, - file: annotationProperties.file, - line: annotationProperties.startLine, - endLine: annotationProperties.endLine, - col: annotationProperties.startColumn, - endColumn: annotationProperties.endColumn - }; -} -exports.toCommandProperties = toCommandProperties; -//# sourceMappingURL=utils.js.map + exports.toCommandProperties = toCommandProperties; + //# sourceMappingURL=utils.js.map -/***/ }), + /***/ }), /***/ 4087: /***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { - -"use strict"; - -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.Context = void 0; -const fs_1 = __nccwpck_require__(7147); -const os_1 = __nccwpck_require__(2037); -class Context { - /** - * Hydrate the context from the environment - */ - constructor() { + "use strict"; + + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.Context = void 0; + const fs_1 = __nccwpck_require__(7147); + const os_1 = __nccwpck_require__(2037); + class Context { + /** + * Hydrate the context from the environment + */ + constructor() { var _a, _b, _c; this.payload = {}; if (process.env.GITHUB_EVENT_PATH) { - if (fs_1.existsSync(process.env.GITHUB_EVENT_PATH)) { - this.payload = JSON.parse(fs_1.readFileSync(process.env.GITHUB_EVENT_PATH, { encoding: 'utf8' })); - } - else { - const path = process.env.GITHUB_EVENT_PATH; - process.stdout.write(`GITHUB_EVENT_PATH ${path} does not exist${os_1.EOL}`); - } + if (fs_1.existsSync(process.env.GITHUB_EVENT_PATH)) { + this.payload = JSON.parse(fs_1.readFileSync(process.env.GITHUB_EVENT_PATH, {encoding : 'utf8'})); + } else { + const path = process.env.GITHUB_EVENT_PATH; + process.stdout.write(`GITHUB_EVENT_PATH ${path} does not exist${os_1.EOL}`); + } } this.eventName = process.env.GITHUB_EVENT_NAME; this.sha = process.env.GITHUB_SHA; @@ -1069,411 +1171,492 @@ class Context { this.runId = parseInt(process.env.GITHUB_RUN_ID, 10); this.apiUrl = (_a = process.env.GITHUB_API_URL) !== null && _a !== void 0 ? _a : `https://api.github.com`; this.serverUrl = (_b = process.env.GITHUB_SERVER_URL) !== null && _b !== void 0 ? _b : `https://github.com`; - this.graphqlUrl = (_c = process.env.GITHUB_GRAPHQL_URL) !== null && _c !== void 0 ? _c : `https://api.github.com/graphql`; - } - get issue() { + this.graphqlUrl = + (_c = process.env.GITHUB_GRAPHQL_URL) !== null && _c !== void 0 ? _c : `https://api.github.com/graphql`; + } + get issue() { const payload = this.payload; - return Object.assign(Object.assign({}, this.repo), { number: (payload.issue || payload.pull_request || payload).number }); - } - get repo() { + return Object.assign( + Object.assign({}, this.repo), {number : (payload.issue || payload.pull_request || payload).number}); + } + get repo() { if (process.env.GITHUB_REPOSITORY) { - const [owner, repo] = process.env.GITHUB_REPOSITORY.split('/'); - return { owner, repo }; + const [owner, repo] = process.env.GITHUB_REPOSITORY.split('/'); + return {owner, repo}; } if (this.payload.repository) { - return { - owner: this.payload.repository.owner.login, - repo: this.payload.repository.name - }; + return {owner : this.payload.repository.owner.login, repo : this.payload.repository.name}; } throw new Error("context.repo requires a GITHUB_REPOSITORY environment variable like 'owner/repo'"); + } } -} -exports.Context = Context; -//# sourceMappingURL=context.js.map + exports.Context = Context; + //# sourceMappingURL=context.js.map -/***/ }), + /***/ }), /***/ 5438: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.getOctokit = exports.context = void 0; + const Context = __importStar(__nccwpck_require__(4087)); + const utils_1 = __nccwpck_require__(3030); + exports.context = new Context.Context(); + /** + * Returns a hydrated octokit ready to use for GitHub Actions + * + * @param token the repo PAT or GITHUB_TOKEN + * @param options other options to set + */ + function getOctokit(token, options) { + return new utils_1.GitHub(utils_1.getOctokitOptions(token, options)); + } + exports.getOctokit = getOctokit; + //# sourceMappingURL=github.js.map -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.getOctokit = exports.context = void 0; -const Context = __importStar(__nccwpck_require__(4087)); -const utils_1 = __nccwpck_require__(3030); -exports.context = new Context.Context(); -/** - * Returns a hydrated octokit ready to use for GitHub Actions - * - * @param token the repo PAT or GITHUB_TOKEN - * @param options other options to set - */ -function getOctokit(token, options) { - return new utils_1.GitHub(utils_1.getOctokitOptions(token, options)); -} -exports.getOctokit = getOctokit; -//# sourceMappingURL=github.js.map - -/***/ }), + /***/ }), /***/ 7914: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.getApiBaseUrl = exports.getProxyAgent = exports.getAuthString = void 0; -const httpClient = __importStar(__nccwpck_require__(6255)); -function getAuthString(token, options) { - if (!token && !options.auth) { + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.getApiBaseUrl = exports.getProxyAgent = exports.getAuthString = void 0; + const httpClient = __importStar(__nccwpck_require__(6255)); + function getAuthString(token, options) { + if (!token && !options.auth) { throw new Error('Parameter token or opts.auth is required'); - } - else if (token && options.auth) { + } else if (token && options.auth) { throw new Error('Parameters token and opts.auth may not both be specified'); + } + return typeof options.auth === 'string' ? options.auth : `token ${token}`; } - return typeof options.auth === 'string' ? options.auth : `token ${token}`; -} -exports.getAuthString = getAuthString; -function getProxyAgent(destinationUrl) { - const hc = new httpClient.HttpClient(); - return hc.getAgent(destinationUrl); -} -exports.getProxyAgent = getProxyAgent; -function getApiBaseUrl() { - return process.env['GITHUB_API_URL'] || 'https://api.github.com'; -} -exports.getApiBaseUrl = getApiBaseUrl; -//# sourceMappingURL=utils.js.map + exports.getAuthString = getAuthString; + function getProxyAgent(destinationUrl) { + const hc = new httpClient.HttpClient(); + return hc.getAgent(destinationUrl); + } + exports.getProxyAgent = getProxyAgent; + function getApiBaseUrl() { + return process.env['GITHUB_API_URL'] || 'https://api.github.com'; + } + exports.getApiBaseUrl = getApiBaseUrl; + //# sourceMappingURL=utils.js.map -/***/ }), + /***/ }), /***/ 3030: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.getOctokitOptions = exports.GitHub = exports.context = void 0; -const Context = __importStar(__nccwpck_require__(4087)); -const Utils = __importStar(__nccwpck_require__(7914)); -// octokit + plugins -const core_1 = __nccwpck_require__(6762); -const plugin_rest_endpoint_methods_1 = __nccwpck_require__(3044); -const plugin_paginate_rest_1 = __nccwpck_require__(4193); -exports.context = new Context.Context(); -const baseUrl = Utils.getApiBaseUrl(); -const defaults = { - baseUrl, - request: { - agent: Utils.getProxyAgent(baseUrl) - } -}; -exports.GitHub = core_1.Octokit.plugin(plugin_rest_endpoint_methods_1.restEndpointMethods, plugin_paginate_rest_1.paginateRest).defaults(defaults); -/** - * Convience function to correctly format Octokit Options to pass into the constructor. - * - * @param token the repo PAT or GITHUB_TOKEN - * @param options other options to set - */ -function getOctokitOptions(token, options) { - const opts = Object.assign({}, options || {}); // Shallow clone - don't mutate the object provided by the caller - // Auth - const auth = Utils.getAuthString(token, opts); - if (auth) { + "use strict"; + + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.getOctokitOptions = exports.GitHub = exports.context = void 0; + const Context = __importStar(__nccwpck_require__(4087)); + const Utils = __importStar(__nccwpck_require__(7914)); + // octokit + plugins + const core_1 = __nccwpck_require__(6762); + const plugin_rest_endpoint_methods_1 = __nccwpck_require__(3044); + const plugin_paginate_rest_1 = __nccwpck_require__(4193); + exports.context = new Context.Context(); + const baseUrl = Utils.getApiBaseUrl(); + const defaults = {baseUrl, request : {agent : Utils.getProxyAgent(baseUrl)}}; + exports.GitHub = + core_1.Octokit.plugin(plugin_rest_endpoint_methods_1.restEndpointMethods, plugin_paginate_rest_1.paginateRest) + .defaults(defaults); + /** + * Convience function to correctly format Octokit Options to pass into the constructor. + * + * @param token the repo PAT or GITHUB_TOKEN + * @param options other options to set + */ + function getOctokitOptions(token, options) { + const opts = Object.assign({}, options || {}); // Shallow clone - don't mutate the object provided by the caller + // Auth + const auth = Utils.getAuthString(token, opts); + if (auth) { opts.auth = auth; + } + return opts; } - return opts; -} -exports.getOctokitOptions = getOctokitOptions; -//# sourceMappingURL=utils.js.map + exports.getOctokitOptions = getOctokitOptions; + //# sourceMappingURL=utils.js.map -/***/ }), + /***/ }), /***/ 5526: /***/ (function(__unused_webpack_module, exports) { + "use strict"; -"use strict"; - -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } + var __awaiter = (this && this.__awaiter) || function(thisArg, _arguments, P, generator) { + function adopt(value) { + return value instanceof P ? value : new P(function(resolve) { + resolve(value); + }); + } + return new (P || (P = Promise))(function(resolve, reject) { + function fulfilled(value) { + try { + step(generator.next(value)); + } catch (e) { + reject(e); + } + } + function rejected(value) { + try { + step(generator["throw"](value)); + } catch (e) { + reject(e); + } + } + function step(result) { + result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); + } step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.PersonalAccessTokenCredentialHandler = exports.BearerCredentialHandler = exports.BasicCredentialHandler = void 0; -class BasicCredentialHandler { - constructor(username, password) { + }); + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.PersonalAccessTokenCredentialHandler = exports.BearerCredentialHandler = exports.BasicCredentialHandler = + void 0; + class BasicCredentialHandler { + constructor(username, password) { this.username = username; this.password = password; - } - prepareRequest(options) { + } + prepareRequest(options) { if (!options.headers) { - throw Error('The request has no headers'); + throw Error('The request has no headers'); } - options.headers['Authorization'] = `Basic ${Buffer.from(`${this.username}:${this.password}`).toString('base64')}`; - } - // This handler cannot handle 401 - canHandleAuthentication() { + options.headers['Authorization'] = + `Basic ${Buffer.from(`${this.username}:${this.password}`).toString('base64')}`; + } + // This handler cannot handle 401 + canHandleAuthentication() { return false; - } - handleAuthentication() { - return __awaiter(this, void 0, void 0, function* () { - throw new Error('not implemented'); + } + handleAuthentication() { + return __awaiter(this, void 0, void 0, function*() { + throw new Error('not implemented'); }); + } } -} -exports.BasicCredentialHandler = BasicCredentialHandler; -class BearerCredentialHandler { - constructor(token) { + exports.BasicCredentialHandler = BasicCredentialHandler; + class BearerCredentialHandler { + constructor(token) { this.token = token; - } - // currently implements pre-authorization - // TODO: support preAuth = false where it hooks on 401 - prepareRequest(options) { + } + // currently implements pre-authorization + // TODO: support preAuth = false where it hooks on 401 + prepareRequest(options) { if (!options.headers) { - throw Error('The request has no headers'); + throw Error('The request has no headers'); } options.headers['Authorization'] = `Bearer ${this.token}`; - } - // This handler cannot handle 401 - canHandleAuthentication() { + } + // This handler cannot handle 401 + canHandleAuthentication() { return false; - } - handleAuthentication() { - return __awaiter(this, void 0, void 0, function* () { - throw new Error('not implemented'); + } + handleAuthentication() { + return __awaiter(this, void 0, void 0, function*() { + throw new Error('not implemented'); }); + } } -} -exports.BearerCredentialHandler = BearerCredentialHandler; -class PersonalAccessTokenCredentialHandler { - constructor(token) { + exports.BearerCredentialHandler = BearerCredentialHandler; + class PersonalAccessTokenCredentialHandler { + constructor(token) { this.token = token; - } - // currently implements pre-authorization - // TODO: support preAuth = false where it hooks on 401 - prepareRequest(options) { + } + // currently implements pre-authorization + // TODO: support preAuth = false where it hooks on 401 + prepareRequest(options) { if (!options.headers) { - throw Error('The request has no headers'); + throw Error('The request has no headers'); } options.headers['Authorization'] = `Basic ${Buffer.from(`PAT:${this.token}`).toString('base64')}`; - } - // This handler cannot handle 401 - canHandleAuthentication() { + } + // This handler cannot handle 401 + canHandleAuthentication() { return false; - } - handleAuthentication() { - return __awaiter(this, void 0, void 0, function* () { - throw new Error('not implemented'); + } + handleAuthentication() { + return __awaiter(this, void 0, void 0, function*() { + throw new Error('not implemented'); }); + } } -} -exports.PersonalAccessTokenCredentialHandler = PersonalAccessTokenCredentialHandler; -//# sourceMappingURL=auth.js.map + exports.PersonalAccessTokenCredentialHandler = PersonalAccessTokenCredentialHandler; + //# sourceMappingURL=auth.js.map -/***/ }), + /***/ }), /***/ 6255: /***/ (function(__unused_webpack_module, exports, __nccwpck_require__) { - -"use strict"; - -/* eslint-disable @typescript-eslint/no-explicit-any */ -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { - Object.defineProperty(o, "default", { enumerable: true, value: v }); -}) : function(o, v) { - o["default"] = v; -}); -var __importStar = (this && this.__importStar) || function (mod) { - if (mod && mod.__esModule) return mod; - var result = {}; - if (mod != null) for (var k in mod) if (k !== "default" && Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); - __setModuleDefault(result, mod); - return result; -}; -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } + "use strict"; + + /* eslint-disable @typescript-eslint/no-explicit-any */ + var __createBinding = (this && this.__createBinding) || + (Object.create ? (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + Object.defineProperty(o, k2, { + enumerable : true, + get : function() { + return m[k]; + } + }); + }) + : (function(o, m, k, k2) { + if (k2 === undefined) + k2 = k; + o[k2] = m[k]; + })); + var __setModuleDefault = (this && this.__setModuleDefault) || + (Object.create ? (function(o, v) { + Object.defineProperty(o, "default", {enumerable : true, value : v}); + }) + : function(o, v) { + o["default"] = v; + }); + var __importStar = (this && this.__importStar) || function(mod) { + if (mod && mod.__esModule) + return mod; + var result = {}; + if (mod != null) + for (var k in mod) + if (k !== "default" && Object.hasOwnProperty.call(mod, k)) + __createBinding(result, mod, k); + __setModuleDefault(result, mod); + return result; + }; + var __awaiter = (this && this.__awaiter) || function(thisArg, _arguments, P, generator) { + function adopt(value) { + return value instanceof P ? value : new P(function(resolve) { + resolve(value); + }); + } + return new (P || (P = Promise))(function(resolve, reject) { + function fulfilled(value) { + try { + step(generator.next(value)); + } catch (e) { + reject(e); + } + } + function rejected(value) { + try { + step(generator["throw"](value)); + } catch (e) { + reject(e); + } + } + function step(result) { + result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); + } step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.HttpClient = exports.isHttps = exports.HttpClientResponse = exports.HttpClientError = exports.getProxyUrl = exports.MediaTypes = exports.Headers = exports.HttpCodes = void 0; -const http = __importStar(__nccwpck_require__(3685)); -const https = __importStar(__nccwpck_require__(5687)); -const pm = __importStar(__nccwpck_require__(9835)); -const tunnel = __importStar(__nccwpck_require__(4294)); -var HttpCodes; -(function (HttpCodes) { - HttpCodes[HttpCodes["OK"] = 200] = "OK"; - HttpCodes[HttpCodes["MultipleChoices"] = 300] = "MultipleChoices"; - HttpCodes[HttpCodes["MovedPermanently"] = 301] = "MovedPermanently"; - HttpCodes[HttpCodes["ResourceMoved"] = 302] = "ResourceMoved"; - HttpCodes[HttpCodes["SeeOther"] = 303] = "SeeOther"; - HttpCodes[HttpCodes["NotModified"] = 304] = "NotModified"; - HttpCodes[HttpCodes["UseProxy"] = 305] = "UseProxy"; - HttpCodes[HttpCodes["SwitchProxy"] = 306] = "SwitchProxy"; - HttpCodes[HttpCodes["TemporaryRedirect"] = 307] = "TemporaryRedirect"; - HttpCodes[HttpCodes["PermanentRedirect"] = 308] = "PermanentRedirect"; - HttpCodes[HttpCodes["BadRequest"] = 400] = "BadRequest"; - HttpCodes[HttpCodes["Unauthorized"] = 401] = "Unauthorized"; - HttpCodes[HttpCodes["PaymentRequired"] = 402] = "PaymentRequired"; - HttpCodes[HttpCodes["Forbidden"] = 403] = "Forbidden"; - HttpCodes[HttpCodes["NotFound"] = 404] = "NotFound"; - HttpCodes[HttpCodes["MethodNotAllowed"] = 405] = "MethodNotAllowed"; - HttpCodes[HttpCodes["NotAcceptable"] = 406] = "NotAcceptable"; - HttpCodes[HttpCodes["ProxyAuthenticationRequired"] = 407] = "ProxyAuthenticationRequired"; - HttpCodes[HttpCodes["RequestTimeout"] = 408] = "RequestTimeout"; - HttpCodes[HttpCodes["Conflict"] = 409] = "Conflict"; - HttpCodes[HttpCodes["Gone"] = 410] = "Gone"; - HttpCodes[HttpCodes["TooManyRequests"] = 429] = "TooManyRequests"; - HttpCodes[HttpCodes["InternalServerError"] = 500] = "InternalServerError"; - HttpCodes[HttpCodes["NotImplemented"] = 501] = "NotImplemented"; - HttpCodes[HttpCodes["BadGateway"] = 502] = "BadGateway"; - HttpCodes[HttpCodes["ServiceUnavailable"] = 503] = "ServiceUnavailable"; - HttpCodes[HttpCodes["GatewayTimeout"] = 504] = "GatewayTimeout"; -})(HttpCodes = exports.HttpCodes || (exports.HttpCodes = {})); -var Headers; -(function (Headers) { - Headers["Accept"] = "accept"; - Headers["ContentType"] = "content-type"; -})(Headers = exports.Headers || (exports.Headers = {})); -var MediaTypes; -(function (MediaTypes) { - MediaTypes["ApplicationJson"] = "application/json"; -})(MediaTypes = exports.MediaTypes || (exports.MediaTypes = {})); -/** - * Returns the proxy URL, depending upon the supplied url and proxy environment variables. - * @param serverUrl The server URL where the request will be sent. For example, https://api.github.com - */ -function getProxyUrl(serverUrl) { - const proxyUrl = pm.getProxyUrl(new URL(serverUrl)); - return proxyUrl ? proxyUrl.href : ''; -} -exports.getProxyUrl = getProxyUrl; -const HttpRedirectCodes = [ - HttpCodes.MovedPermanently, - HttpCodes.ResourceMoved, - HttpCodes.SeeOther, - HttpCodes.TemporaryRedirect, - HttpCodes.PermanentRedirect -]; -const HttpResponseRetryCodes = [ - HttpCodes.BadGateway, - HttpCodes.ServiceUnavailable, - HttpCodes.GatewayTimeout -]; -const RetryableHttpVerbs = ['OPTIONS', 'GET', 'DELETE', 'HEAD']; -const ExponentialBackoffCeiling = 10; -const ExponentialBackoffTimeSlice = 5; -class HttpClientError extends Error { - constructor(message, statusCode) { + }); + }; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.HttpClient = exports.isHttps = exports.HttpClientResponse = exports.HttpClientError = exports.getProxyUrl = + exports.MediaTypes = exports.Headers = exports.HttpCodes = void 0; + const http = __importStar(__nccwpck_require__(3685)); + const https = __importStar(__nccwpck_require__(5687)); + const pm = __importStar(__nccwpck_require__(9835)); + const tunnel = __importStar(__nccwpck_require__(4294)); + var HttpCodes; + (function(HttpCodes) { + HttpCodes[HttpCodes["OK"] = 200] = "OK"; + HttpCodes[HttpCodes["MultipleChoices"] = 300] = "MultipleChoices"; + HttpCodes[HttpCodes["MovedPermanently"] = 301] = "MovedPermanently"; + HttpCodes[HttpCodes["ResourceMoved"] = 302] = "ResourceMoved"; + HttpCodes[HttpCodes["SeeOther"] = 303] = "SeeOther"; + HttpCodes[HttpCodes["NotModified"] = 304] = "NotModified"; + HttpCodes[HttpCodes["UseProxy"] = 305] = "UseProxy"; + HttpCodes[HttpCodes["SwitchProxy"] = 306] = "SwitchProxy"; + HttpCodes[HttpCodes["TemporaryRedirect"] = 307] = "TemporaryRedirect"; + HttpCodes[HttpCodes["PermanentRedirect"] = 308] = "PermanentRedirect"; + HttpCodes[HttpCodes["BadRequest"] = 400] = "BadRequest"; + HttpCodes[HttpCodes["Unauthorized"] = 401] = "Unauthorized"; + HttpCodes[HttpCodes["PaymentRequired"] = 402] = "PaymentRequired"; + HttpCodes[HttpCodes["Forbidden"] = 403] = "Forbidden"; + HttpCodes[HttpCodes["NotFound"] = 404] = "NotFound"; + HttpCodes[HttpCodes["MethodNotAllowed"] = 405] = "MethodNotAllowed"; + HttpCodes[HttpCodes["NotAcceptable"] = 406] = "NotAcceptable"; + HttpCodes[HttpCodes["ProxyAuthenticationRequired"] = 407] = "ProxyAuthenticationRequired"; + HttpCodes[HttpCodes["RequestTimeout"] = 408] = "RequestTimeout"; + HttpCodes[HttpCodes["Conflict"] = 409] = "Conflict"; + HttpCodes[HttpCodes["Gone"] = 410] = "Gone"; + HttpCodes[HttpCodes["TooManyRequests"] = 429] = "TooManyRequests"; + HttpCodes[HttpCodes["InternalServerError"] = 500] = "InternalServerError"; + HttpCodes[HttpCodes["NotImplemented"] = 501] = "NotImplemented"; + HttpCodes[HttpCodes["BadGateway"] = 502] = "BadGateway"; + HttpCodes[HttpCodes["ServiceUnavailable"] = 503] = "ServiceUnavailable"; + HttpCodes[HttpCodes["GatewayTimeout"] = 504] = "GatewayTimeout"; + })(HttpCodes = exports.HttpCodes || (exports.HttpCodes = {})); + var Headers; + (function(Headers) { + Headers["Accept"] = "accept"; + Headers["ContentType"] = "content-type"; + })(Headers = exports.Headers || (exports.Headers = {})); + var MediaTypes; + (function(MediaTypes) { + MediaTypes["ApplicationJson"] = "application/json"; + })(MediaTypes = exports.MediaTypes || (exports.MediaTypes = {})); + /** + * Returns the proxy URL, depending upon the supplied url and proxy environment variables. + * @param serverUrl The server URL where the request will be sent. For example, https://api.github.com + */ + function getProxyUrl(serverUrl) { + const proxyUrl = pm.getProxyUrl(new URL(serverUrl)); + return proxyUrl ? proxyUrl.href : ''; + } + exports.getProxyUrl = getProxyUrl; + const HttpRedirectCodes = [ + HttpCodes.MovedPermanently, + HttpCodes.ResourceMoved, + HttpCodes.SeeOther, + HttpCodes.TemporaryRedirect, + HttpCodes.PermanentRedirect + ]; + const HttpResponseRetryCodes = [ HttpCodes.BadGateway, HttpCodes.ServiceUnavailable, HttpCodes.GatewayTimeout ]; + const RetryableHttpVerbs = [ 'OPTIONS', 'GET', 'DELETE', 'HEAD' ]; + const ExponentialBackoffCeiling = 10; + const ExponentialBackoffTimeSlice = 5; + class HttpClientError extends Error { + constructor(message, statusCode) { super(message); this.name = 'HttpClientError'; this.statusCode = statusCode; Object.setPrototypeOf(this, HttpClientError.prototype); + } } -} -exports.HttpClientError = HttpClientError; -class HttpClientResponse { - constructor(message) { + exports.HttpClientError = HttpClientError; + class HttpClientResponse { + constructor(message) { this.message = message; - } - readBody() { - return __awaiter(this, void 0, void 0, function* () { - return new Promise((resolve) => __awaiter(this, void 0, void 0, function* () { - let output = Buffer.alloc(0); - this.message.on('data', (chunk) => { - output = Buffer.concat([output, chunk]); - }); - this.message.on('end', () => { - resolve(output.toString()); - }); - })); + } + readBody() { + return __awaiter(this, void 0, void 0, function*() { + return new Promise((resolve) => __awaiter(this, void 0, void 0, function*() { + let output = Buffer.alloc(0); + this.message.on('data', (chunk) => { output = Buffer.concat([ output, chunk ]); }); + this.message.on('end', () => { resolve(output.toString()); }); + })); }); + } } -} -exports.HttpClientResponse = HttpClientResponse; -function isHttps(requestUrl) { - const parsedUrl = new URL(requestUrl); - return parsedUrl.protocol === 'https:'; -} -exports.isHttps = isHttps; -class HttpClient { - constructor(userAgent, handlers, requestOptions) { + exports.HttpClientResponse = HttpClientResponse; + function isHttps(requestUrl) { + const parsedUrl = new URL(requestUrl); + return parsedUrl.protocol === 'https:'; + } + exports.isHttps = isHttps; + class HttpClient { + constructor(userAgent, handlers, requestOptions) { this._ignoreSslError = false; this._allowRedirects = true; this._allowRedirectDowngrade = false; @@ -1486,291 +1669,285 @@ class HttpClient { this.handlers = handlers || []; this.requestOptions = requestOptions; if (requestOptions) { - if (requestOptions.ignoreSslError != null) { - this._ignoreSslError = requestOptions.ignoreSslError; - } - this._socketTimeout = requestOptions.socketTimeout; - if (requestOptions.allowRedirects != null) { - this._allowRedirects = requestOptions.allowRedirects; - } - if (requestOptions.allowRedirectDowngrade != null) { - this._allowRedirectDowngrade = requestOptions.allowRedirectDowngrade; - } - if (requestOptions.maxRedirects != null) { - this._maxRedirects = Math.max(requestOptions.maxRedirects, 0); - } - if (requestOptions.keepAlive != null) { - this._keepAlive = requestOptions.keepAlive; - } - if (requestOptions.allowRetries != null) { - this._allowRetries = requestOptions.allowRetries; - } - if (requestOptions.maxRetries != null) { - this._maxRetries = requestOptions.maxRetries; - } + if (requestOptions.ignoreSslError != null) { + this._ignoreSslError = requestOptions.ignoreSslError; + } + this._socketTimeout = requestOptions.socketTimeout; + if (requestOptions.allowRedirects != null) { + this._allowRedirects = requestOptions.allowRedirects; + } + if (requestOptions.allowRedirectDowngrade != null) { + this._allowRedirectDowngrade = requestOptions.allowRedirectDowngrade; + } + if (requestOptions.maxRedirects != null) { + this._maxRedirects = Math.max(requestOptions.maxRedirects, 0); + } + if (requestOptions.keepAlive != null) { + this._keepAlive = requestOptions.keepAlive; + } + if (requestOptions.allowRetries != null) { + this._allowRetries = requestOptions.allowRetries; + } + if (requestOptions.maxRetries != null) { + this._maxRetries = requestOptions.maxRetries; + } } - } - options(requestUrl, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('OPTIONS', requestUrl, null, additionalHeaders || {}); + } + options(requestUrl, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('OPTIONS', requestUrl, null, additionalHeaders || {}); }); - } - get(requestUrl, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('GET', requestUrl, null, additionalHeaders || {}); + } + get(requestUrl, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('GET', requestUrl, null, additionalHeaders || {}); }); - } - del(requestUrl, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('DELETE', requestUrl, null, additionalHeaders || {}); + } + del(requestUrl, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('DELETE', requestUrl, null, additionalHeaders || {}); }); - } - post(requestUrl, data, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('POST', requestUrl, data, additionalHeaders || {}); + } + post(requestUrl, data, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('POST', requestUrl, data, additionalHeaders || {}); }); - } - patch(requestUrl, data, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('PATCH', requestUrl, data, additionalHeaders || {}); + } + patch(requestUrl, data, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('PATCH', requestUrl, data, additionalHeaders || {}); }); - } - put(requestUrl, data, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('PUT', requestUrl, data, additionalHeaders || {}); + } + put(requestUrl, data, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('PUT', requestUrl, data, additionalHeaders || {}); }); - } - head(requestUrl, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request('HEAD', requestUrl, null, additionalHeaders || {}); + } + head(requestUrl, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request('HEAD', requestUrl, null, additionalHeaders || {}); }); - } - sendStream(verb, requestUrl, stream, additionalHeaders) { - return __awaiter(this, void 0, void 0, function* () { - return this.request(verb, requestUrl, stream, additionalHeaders); + } + sendStream(verb, requestUrl, stream, additionalHeaders) { + return __awaiter(this, void 0, void 0, function*() { + return this.request(verb, requestUrl, stream, additionalHeaders); }); - } - /** - * Gets a typed object from an endpoint - * Be aware that not found returns a null. Other errors (4xx, 5xx) reject the promise - */ - getJson(requestUrl, additionalHeaders = {}) { - return __awaiter(this, void 0, void 0, function* () { - additionalHeaders[Headers.Accept] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); - const res = yield this.get(requestUrl, additionalHeaders); - return this._processResponse(res, this.requestOptions); + } + /** + * Gets a typed object from an endpoint + * Be aware that not found returns a null. Other errors (4xx, 5xx) reject the promise + */ + getJson(requestUrl, additionalHeaders = {}) { + return __awaiter(this, void 0, void 0, function*() { + additionalHeaders[Headers.Accept] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); + const res = yield this.get(requestUrl, additionalHeaders); + return this._processResponse(res, this.requestOptions); }); - } - postJson(requestUrl, obj, additionalHeaders = {}) { - return __awaiter(this, void 0, void 0, function* () { - const data = JSON.stringify(obj, null, 2); - additionalHeaders[Headers.Accept] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); - additionalHeaders[Headers.ContentType] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); - const res = yield this.post(requestUrl, data, additionalHeaders); - return this._processResponse(res, this.requestOptions); + } + postJson(requestUrl, obj, additionalHeaders = {}) { + return __awaiter(this, void 0, void 0, function*() { + const data = JSON.stringify(obj, null, 2); + additionalHeaders[Headers.Accept] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); + additionalHeaders[Headers.ContentType] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); + const res = yield this.post(requestUrl, data, additionalHeaders); + return this._processResponse(res, this.requestOptions); }); - } - putJson(requestUrl, obj, additionalHeaders = {}) { - return __awaiter(this, void 0, void 0, function* () { - const data = JSON.stringify(obj, null, 2); - additionalHeaders[Headers.Accept] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); - additionalHeaders[Headers.ContentType] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); - const res = yield this.put(requestUrl, data, additionalHeaders); - return this._processResponse(res, this.requestOptions); + } + putJson(requestUrl, obj, additionalHeaders = {}) { + return __awaiter(this, void 0, void 0, function*() { + const data = JSON.stringify(obj, null, 2); + additionalHeaders[Headers.Accept] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); + additionalHeaders[Headers.ContentType] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); + const res = yield this.put(requestUrl, data, additionalHeaders); + return this._processResponse(res, this.requestOptions); }); - } - patchJson(requestUrl, obj, additionalHeaders = {}) { - return __awaiter(this, void 0, void 0, function* () { - const data = JSON.stringify(obj, null, 2); - additionalHeaders[Headers.Accept] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); - additionalHeaders[Headers.ContentType] = this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); - const res = yield this.patch(requestUrl, data, additionalHeaders); - return this._processResponse(res, this.requestOptions); + } + patchJson(requestUrl, obj, additionalHeaders = {}) { + return __awaiter(this, void 0, void 0, function*() { + const data = JSON.stringify(obj, null, 2); + additionalHeaders[Headers.Accept] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.Accept, MediaTypes.ApplicationJson); + additionalHeaders[Headers.ContentType] = + this._getExistingOrDefaultHeader(additionalHeaders, Headers.ContentType, MediaTypes.ApplicationJson); + const res = yield this.patch(requestUrl, data, additionalHeaders); + return this._processResponse(res, this.requestOptions); }); - } - /** - * Makes a raw http request. - * All other methods such as get, post, patch, and request ultimately call this. - * Prefer get, del, post and patch - */ - request(verb, requestUrl, data, headers) { - return __awaiter(this, void 0, void 0, function* () { - if (this._disposed) { - throw new Error('Client has already been disposed.'); - } - const parsedUrl = new URL(requestUrl); - let info = this._prepareRequest(verb, parsedUrl, headers); - // Only perform retries on reads since writes may not be idempotent. - const maxTries = this._allowRetries && RetryableHttpVerbs.includes(verb) - ? this._maxRetries + 1 - : 1; - let numTries = 0; - let response; - do { - response = yield this.requestRaw(info, data); - // Check if it's an authentication challenge - if (response && - response.message && - response.message.statusCode === HttpCodes.Unauthorized) { - let authenticationHandler; - for (const handler of this.handlers) { - if (handler.canHandleAuthentication(response)) { - authenticationHandler = handler; - break; - } - } - if (authenticationHandler) { - return authenticationHandler.handleAuthentication(this, info, data); - } - else { - // We have received an unauthorized response but have no handlers to handle it. - // Let the response return to the caller. - return response; - } - } - let redirectsRemaining = this._maxRedirects; - while (response.message.statusCode && - HttpRedirectCodes.includes(response.message.statusCode) && - this._allowRedirects && - redirectsRemaining > 0) { - const redirectUrl = response.message.headers['location']; - if (!redirectUrl) { - // if there's no location to redirect to, we won't - break; - } - const parsedRedirectUrl = new URL(redirectUrl); - if (parsedUrl.protocol === 'https:' && - parsedUrl.protocol !== parsedRedirectUrl.protocol && - !this._allowRedirectDowngrade) { - throw new Error('Redirect from HTTPS to HTTP protocol. This downgrade is not allowed for security reasons. If you want to allow this behavior, set the allowRedirectDowngrade option to true.'); - } - // we need to finish reading the response before reassigning response - // which will leak the open socket. - yield response.readBody(); - // strip authorization header if redirected to a different hostname - if (parsedRedirectUrl.hostname !== parsedUrl.hostname) { - for (const header in headers) { - // header names are case insensitive - if (header.toLowerCase() === 'authorization') { - delete headers[header]; - } - } - } - // let's make the request with the new redirectUrl - info = this._prepareRequest(verb, parsedRedirectUrl, headers); - response = yield this.requestRaw(info, data); - redirectsRemaining--; - } - if (!response.message.statusCode || - !HttpResponseRetryCodes.includes(response.message.statusCode)) { - // If not a retry code, return immediately instead of retrying - return response; + } + /** + * Makes a raw http request. + * All other methods such as get, post, patch, and request ultimately call this. + * Prefer get, del, post and patch + */ + request(verb, requestUrl, data, headers) { + return __awaiter(this, void 0, void 0, function*() { + if (this._disposed) { + throw new Error('Client has already been disposed.'); + } + const parsedUrl = new URL(requestUrl); + let info = this._prepareRequest(verb, parsedUrl, headers); + // Only perform retries on reads since writes may not be idempotent. + const maxTries = this._allowRetries && RetryableHttpVerbs.includes(verb) ? this._maxRetries + 1 : 1; + let numTries = 0; + let response; + do { + response = yield this.requestRaw(info, data); + // Check if it's an authentication challenge + if (response && response.message && response.message.statusCode === HttpCodes.Unauthorized) { + let authenticationHandler; + for (const handler of this.handlers) { + if (handler.canHandleAuthentication(response)) { + authenticationHandler = handler; + break; } - numTries += 1; - if (numTries < maxTries) { - yield response.readBody(); - yield this._performExponentialBackoff(numTries); + } + if (authenticationHandler) { + return authenticationHandler.handleAuthentication(this, info, data); + } else { + // We have received an unauthorized response but have no handlers to handle it. + // Let the response return to the caller. + return response; + } + } + let redirectsRemaining = this._maxRedirects; + while (response.message.statusCode && HttpRedirectCodes.includes(response.message.statusCode) && + this._allowRedirects && redirectsRemaining > 0) { + const redirectUrl = response.message.headers['location']; + if (!redirectUrl) { + // if there's no location to redirect to, we won't + break; + } + const parsedRedirectUrl = new URL(redirectUrl); + if (parsedUrl.protocol === 'https:' && parsedUrl.protocol !== parsedRedirectUrl.protocol && + !this._allowRedirectDowngrade) { + throw new Error( + 'Redirect from HTTPS to HTTP protocol. This downgrade is not allowed for security reasons. If you want to allow this behavior, set the allowRedirectDowngrade option to true.'); + } + // we need to finish reading the response before reassigning response + // which will leak the open socket. + yield response.readBody(); + // strip authorization header if redirected to a different hostname + if (parsedRedirectUrl.hostname !== parsedUrl.hostname) { + for (const header in headers) { + // header names are case insensitive + if (header.toLowerCase() === 'authorization') { + delete headers[header]; + } } - } while (numTries < maxTries); - return response; + } + // let's make the request with the new redirectUrl + info = this._prepareRequest(verb, parsedRedirectUrl, headers); + response = yield this.requestRaw(info, data); + redirectsRemaining--; + } + if (!response.message.statusCode || !HttpResponseRetryCodes.includes(response.message.statusCode)) { + // If not a retry code, return immediately instead of retrying + return response; + } + numTries += 1; + if (numTries < maxTries) { + yield response.readBody(); + yield this._performExponentialBackoff(numTries); + } + } while (numTries < maxTries); + return response; }); - } - /** - * Needs to be called if keepAlive is set to true in request options. - */ - dispose() { + } + /** + * Needs to be called if keepAlive is set to true in request options. + */ + dispose() { if (this._agent) { - this._agent.destroy(); + this._agent.destroy(); } this._disposed = true; - } - /** - * Raw request. - * @param info - * @param data - */ - requestRaw(info, data) { - return __awaiter(this, void 0, void 0, function* () { - return new Promise((resolve, reject) => { - function callbackForResult(err, res) { - if (err) { - reject(err); - } - else if (!res) { - // If `err` is not passed, then `res` must be passed. - reject(new Error('Unknown error')); - } - else { - resolve(res); - } - } - this.requestRawWithCallback(info, data, callbackForResult); - }); + } + /** + * Raw request. + * @param info + * @param data + */ + requestRaw(info, data) { + return __awaiter(this, void 0, void 0, function*() { + return new Promise((resolve, reject) => { + function callbackForResult(err, res) { + if (err) { + reject(err); + } else if (!res) { + // If `err` is not passed, then `res` must be passed. + reject(new Error('Unknown error')); + } else { + resolve(res); + } + } + this.requestRawWithCallback(info, data, callbackForResult); + }); }); - } - /** - * Raw request with callback. - * @param info - * @param data - * @param onResult - */ - requestRawWithCallback(info, data, onResult) { + } + /** + * Raw request with callback. + * @param info + * @param data + * @param onResult + */ + requestRawWithCallback(info, data, onResult) { if (typeof data === 'string') { - if (!info.options.headers) { - info.options.headers = {}; - } - info.options.headers['Content-Length'] = Buffer.byteLength(data, 'utf8'); + if (!info.options.headers) { + info.options.headers = {}; + } + info.options.headers['Content-Length'] = Buffer.byteLength(data, 'utf8'); } let callbackCalled = false; function handleResult(err, res) { - if (!callbackCalled) { - callbackCalled = true; - onResult(err, res); - } + if (!callbackCalled) { + callbackCalled = true; + onResult(err, res); + } } const req = info.httpModule.request(info.options, (msg) => { - const res = new HttpClientResponse(msg); - handleResult(undefined, res); + const res = new HttpClientResponse(msg); + handleResult(undefined, res); }); let socket; - req.on('socket', sock => { - socket = sock; - }); + req.on('socket', sock => { socket = sock; }); // If we ever get disconnected, we want the socket to timeout eventually req.setTimeout(this._socketTimeout || 3 * 60000, () => { - if (socket) { - socket.end(); - } - handleResult(new Error(`Request timeout: ${info.options.path}`)); + if (socket) { + socket.end(); + } + handleResult(new Error(`Request timeout: ${info.options.path}`)); }); - req.on('error', function (err) { - // err has statusCode property - // res should have headers - handleResult(err); + req.on('error', function(err) { + // err has statusCode property + // res should have headers + handleResult(err); }); if (data && typeof data === 'string') { - req.write(data, 'utf8'); + req.write(data, 'utf8'); } if (data && typeof data !== 'string') { - data.on('close', function () { - req.end(); - }); - data.pipe(req); - } - else { + data.on('close', function() { req.end(); + }); + data.pipe(req); + } else { + req.end(); } - } - /** - * Gets an http agent. This function is useful when you need an http agent that handles - * routing through a proxy server - depending upon the url and proxy environment variables. - * @param serverUrl The server URL where the request will be sent. For example, https://api.github.com - */ - getAgent(serverUrl) { + } + /** + * Gets an http agent. This function is useful when you need an http agent that handles + * routing through a proxy server - depending upon the url and proxy environment variables. + * @param serverUrl The server URL where the request will be sent. For example, https://api.github.com + */ + getAgent(serverUrl) { const parsedUrl = new URL(serverUrl); return this._getAgent(parsedUrl); - } - _prepareRequest(method, requestUrl, headers) { + } + _prepareRequest(method, requestUrl, headers) { const info = {}; info.parsedUrl = requestUrl; const usingSsl = info.parsedUrl.protocol === 'https:'; @@ -1778,11120 +1955,10862 @@ class HttpClient { const defaultPort = usingSsl ? 443 : 80; info.options = {}; info.options.host = info.parsedUrl.hostname; - info.options.port = info.parsedUrl.port - ? parseInt(info.parsedUrl.port) - : defaultPort; - info.options.path = - (info.parsedUrl.pathname || '') + (info.parsedUrl.search || ''); + info.options.port = info.parsedUrl.port ? parseInt(info.parsedUrl.port) : defaultPort; + info.options.path = (info.parsedUrl.pathname || '') + (info.parsedUrl.search || ''); info.options.method = method; info.options.headers = this._mergeHeaders(headers); if (this.userAgent != null) { - info.options.headers['user-agent'] = this.userAgent; + info.options.headers['user-agent'] = this.userAgent; } info.options.agent = this._getAgent(info.parsedUrl); // gives handlers an opportunity to participate if (this.handlers) { - for (const handler of this.handlers) { - handler.prepareRequest(info.options); - } + for (const handler of this.handlers) { + handler.prepareRequest(info.options); + } } return info; - } - _mergeHeaders(headers) { + } + _mergeHeaders(headers) { if (this.requestOptions && this.requestOptions.headers) { - return Object.assign({}, lowercaseKeys(this.requestOptions.headers), lowercaseKeys(headers || {})); + return Object.assign({}, lowercaseKeys(this.requestOptions.headers), lowercaseKeys(headers || {})); } return lowercaseKeys(headers || {}); - } - _getExistingOrDefaultHeader(additionalHeaders, header, _default) { + } + _getExistingOrDefaultHeader(additionalHeaders, header, _default) { let clientHeader; if (this.requestOptions && this.requestOptions.headers) { - clientHeader = lowercaseKeys(this.requestOptions.headers)[header]; + clientHeader = lowercaseKeys(this.requestOptions.headers)[header]; } return additionalHeaders[header] || clientHeader || _default; - } - _getAgent(parsedUrl) { + } + _getAgent(parsedUrl) { let agent; const proxyUrl = pm.getProxyUrl(parsedUrl); const useProxy = proxyUrl && proxyUrl.hostname; if (this._keepAlive && useProxy) { - agent = this._proxyAgent; + agent = this._proxyAgent; } if (this._keepAlive && !useProxy) { - agent = this._agent; + agent = this._agent; } // if agent is already assigned use that agent. if (agent) { - return agent; + return agent; } const usingSsl = parsedUrl.protocol === 'https:'; let maxSockets = 100; if (this.requestOptions) { - maxSockets = this.requestOptions.maxSockets || http.globalAgent.maxSockets; + maxSockets = this.requestOptions.maxSockets || http.globalAgent.maxSockets; } // This is `useProxy` again, but we need to check `proxyURl` directly for TypeScripts's flow analysis. if (proxyUrl && proxyUrl.hostname) { - const agentOptions = { - maxSockets, - keepAlive: this._keepAlive, - proxy: Object.assign(Object.assign({}, ((proxyUrl.username || proxyUrl.password) && { - proxyAuth: `${proxyUrl.username}:${proxyUrl.password}` - })), { host: proxyUrl.hostname, port: proxyUrl.port }) - }; - let tunnelAgent; - const overHttps = proxyUrl.protocol === 'https:'; - if (usingSsl) { - tunnelAgent = overHttps ? tunnel.httpsOverHttps : tunnel.httpsOverHttp; - } - else { - tunnelAgent = overHttps ? tunnel.httpOverHttps : tunnel.httpOverHttp; - } - agent = tunnelAgent(agentOptions); - this._proxyAgent = agent; + const agentOptions = { + maxSockets, + keepAlive : this._keepAlive, + proxy : Object.assign( + Object.assign({}, ((proxyUrl.username || proxyUrl.password) && { + proxyAuth : `${proxyUrl.username}:${proxyUrl.password}` + })), + {host : proxyUrl.hostname, port : proxyUrl.port}) + }; + let tunnelAgent; + const overHttps = proxyUrl.protocol === 'https:'; + if (usingSsl) { + tunnelAgent = overHttps ? tunnel.httpsOverHttps : tunnel.httpsOverHttp; + } else { + tunnelAgent = overHttps ? tunnel.httpOverHttps : tunnel.httpOverHttp; + } + agent = tunnelAgent(agentOptions); + this._proxyAgent = agent; } // if reusing agent across request and tunneling agent isn't assigned create a new agent if (this._keepAlive && !agent) { - const options = { keepAlive: this._keepAlive, maxSockets }; - agent = usingSsl ? new https.Agent(options) : new http.Agent(options); - this._agent = agent; + const options = {keepAlive : this._keepAlive, maxSockets}; + agent = usingSsl ? new https.Agent(options) : new http.Agent(options); + this._agent = agent; } // if not using private agent and tunnel agent isn't setup then use global agent if (!agent) { - agent = usingSsl ? https.globalAgent : http.globalAgent; + agent = usingSsl ? https.globalAgent : http.globalAgent; } if (usingSsl && this._ignoreSslError) { - // we don't want to set NODE_TLS_REJECT_UNAUTHORIZED=0 since that will affect request for entire process - // http.RequestOptions doesn't expose a way to modify RequestOptions.agent.options - // we have to cast it to any and change it directly - agent.options = Object.assign(agent.options || {}, { - rejectUnauthorized: false - }); + // we don't want to set NODE_TLS_REJECT_UNAUTHORIZED=0 since that will affect request for entire process + // http.RequestOptions doesn't expose a way to modify RequestOptions.agent.options + // we have to cast it to any and change it directly + agent.options = Object.assign(agent.options || {}, {rejectUnauthorized : false}); } return agent; - } - _performExponentialBackoff(retryNumber) { - return __awaiter(this, void 0, void 0, function* () { - retryNumber = Math.min(ExponentialBackoffCeiling, retryNumber); - const ms = ExponentialBackoffTimeSlice * Math.pow(2, retryNumber); - return new Promise(resolve => setTimeout(() => resolve(), ms)); + } + _performExponentialBackoff(retryNumber) { + return __awaiter(this, void 0, void 0, function*() { + retryNumber = Math.min(ExponentialBackoffCeiling, retryNumber); + const ms = ExponentialBackoffTimeSlice * Math.pow(2, retryNumber); + return new Promise(resolve => setTimeout(() => resolve(), ms)); }); - } - _processResponse(res, options) { - return __awaiter(this, void 0, void 0, function* () { - return new Promise((resolve, reject) => __awaiter(this, void 0, void 0, function* () { - const statusCode = res.message.statusCode || 0; - const response = { - statusCode, - result: null, - headers: {} - }; - // not found leads to null obj returned - if (statusCode === HttpCodes.NotFound) { - resolve(response); - } - // get the result from the body - function dateTimeDeserializer(key, value) { - if (typeof value === 'string') { - const a = new Date(value); - if (!isNaN(a.valueOf())) { - return a; - } - } - return value; - } - let obj; - let contents; - try { - contents = yield res.readBody(); - if (contents && contents.length > 0) { - if (options && options.deserializeDates) { - obj = JSON.parse(contents, dateTimeDeserializer); - } - else { - obj = JSON.parse(contents); - } - response.result = obj; - } - response.headers = res.message.headers; - } - catch (err) { - // Invalid resource (contents not json); leaving result obj null - } - // note that 3xx redirects are handled by the http layer. - if (statusCode > 299) { - let msg; - // if exception/error in body, attempt to get better error - if (obj && obj.message) { - msg = obj.message; - } - else if (contents && contents.length > 0) { - // it may be the case that the exception is in the body message as string - msg = contents; - } - else { - msg = `Failed request: (${statusCode})`; - } - const err = new HttpClientError(msg, statusCode); - err.result = response.result; - reject(err); - } - else { - resolve(response); - } - })); + } + _processResponse(res, options) { + return __awaiter(this, void 0, void 0, function*() { + return new Promise((resolve, reject) => __awaiter(this, void 0, void 0, function*() { + const statusCode = res.message.statusCode || 0; + const response = {statusCode, result : null, headers : {}}; + // not found leads to null obj returned + if (statusCode === HttpCodes.NotFound) { + resolve(response); + } + // get the result from the body + function dateTimeDeserializer(key, value) { + if (typeof value === 'string') { + const a = new Date(value); + if (!isNaN(a.valueOf())) { + return a; + } + } + return value; + } + let obj; + let contents; + try { + contents = yield res.readBody(); + if (contents && contents.length > 0) { + if (options && options.deserializeDates) { + obj = JSON.parse(contents, dateTimeDeserializer); + } else { + obj = JSON.parse(contents); + } + response.result = obj; + } + response.headers = res.message.headers; + } catch (err) { + // Invalid resource (contents not json); leaving result obj null + } + // note that 3xx redirects are handled by the http layer. + if (statusCode > 299) { + let msg; + // if exception/error in body, attempt to get better error + if (obj && obj.message) { + msg = obj.message; + } else if (contents && contents.length > 0) { + // it may be the case that the exception is in the body message as string + msg = contents; + } else { + msg = `Failed request: (${statusCode})`; + } + const err = new HttpClientError(msg, statusCode); + err.result = response.result; + reject(err); + } else { + resolve(response); + } + })); }); + } } -} -exports.HttpClient = HttpClient; -const lowercaseKeys = (obj) => Object.keys(obj).reduce((c, k) => ((c[k.toLowerCase()] = obj[k]), c), {}); -//# sourceMappingURL=index.js.map + exports.HttpClient = HttpClient; + const lowercaseKeys = (obj) => Object.keys(obj).reduce((c, k) => ((c[k.toLowerCase()] = obj[k]), c), {}); + //# sourceMappingURL=index.js.map -/***/ }), + /***/ }), /***/ 9835: /***/ ((__unused_webpack_module, exports) => { + "use strict"; -"use strict"; - -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports.checkBypass = exports.getProxyUrl = void 0; -function getProxyUrl(reqUrl) { - const usingSsl = reqUrl.protocol === 'https:'; - if (checkBypass(reqUrl)) { + Object.defineProperty(exports, "__esModule", ({value : true})); + exports.checkBypass = exports.getProxyUrl = void 0; + function getProxyUrl(reqUrl) { + const usingSsl = reqUrl.protocol === 'https:'; + if (checkBypass(reqUrl)) { return undefined; - } - const proxyVar = (() => { + } + const proxyVar = (() => { if (usingSsl) { - return process.env['https_proxy'] || process.env['HTTPS_PROXY']; - } - else { - return process.env['http_proxy'] || process.env['HTTP_PROXY']; + return process.env['https_proxy'] || process.env['HTTPS_PROXY']; + } else { + return process.env['http_proxy'] || process.env['HTTP_PROXY']; } - })(); - if (proxyVar) { + })(); + if (proxyVar) { return new URL(proxyVar); - } - else { + } else { return undefined; + } } -} -exports.getProxyUrl = getProxyUrl; -function checkBypass(reqUrl) { - if (!reqUrl.hostname) { + exports.getProxyUrl = getProxyUrl; + function checkBypass(reqUrl) { + if (!reqUrl.hostname) { return false; - } - const noProxy = process.env['no_proxy'] || process.env['NO_PROXY'] || ''; - if (!noProxy) { + } + const noProxy = process.env['no_proxy'] || process.env['NO_PROXY'] || ''; + if (!noProxy) { return false; - } - // Determine the request port - let reqPort; - if (reqUrl.port) { + } + // Determine the request port + let reqPort; + if (reqUrl.port) { reqPort = Number(reqUrl.port); - } - else if (reqUrl.protocol === 'http:') { + } else if (reqUrl.protocol === 'http:') { reqPort = 80; - } - else if (reqUrl.protocol === 'https:') { + } else if (reqUrl.protocol === 'https:') { reqPort = 443; - } - // Format the request hostname and hostname with port - const upperReqHosts = [reqUrl.hostname.toUpperCase()]; - if (typeof reqPort === 'number') { + } + // Format the request hostname and hostname with port + const upperReqHosts = [ reqUrl.hostname.toUpperCase() ]; + if (typeof reqPort === 'number') { upperReqHosts.push(`${upperReqHosts[0]}:${reqPort}`); - } - // Compare request host against noproxy - for (const upperNoProxyItem of noProxy - .split(',') - .map(x => x.trim().toUpperCase()) - .filter(x => x)) { + } + // Compare request host against noproxy + for (const upperNoProxyItem of noProxy.split(',').map(x => x.trim().toUpperCase()).filter(x => x)) { if (upperReqHosts.some(x => x === upperNoProxyItem)) { - return true; + return true; } + } + return false; } - return false; -} -exports.checkBypass = checkBypass; -//# sourceMappingURL=proxy.js.map + exports.checkBypass = checkBypass; + //# sourceMappingURL=proxy.js.map -/***/ }), + /***/ }), /***/ 334: /***/ ((__unused_webpack_module, exports) => { + "use strict"; -"use strict"; + Object.defineProperty(exports, "__esModule", ({value : true})); + const REGEX_IS_INSTALLATION_LEGACY = /^v1\./; + const REGEX_IS_INSTALLATION = /^ghs_/; + const REGEX_IS_USER_TO_SERVER = /^ghu_/; + async function auth(token) { + const isApp = token.split(/\./).length === 3; + const isInstallation = REGEX_IS_INSTALLATION_LEGACY.test(token) || REGEX_IS_INSTALLATION.test(token); + const isUserToServer = REGEX_IS_USER_TO_SERVER.test(token); + const tokenType = isApp ? "app" : isInstallation ? "installation" : isUserToServer ? "user-to-server" : "oauth"; + return {type : "token", token : token, tokenType}; + } -Object.defineProperty(exports, "__esModule", ({ value: true })); + /** + * Prefix token for usage in the Authorization header + * + * @param token OAuth token or JSON Web Token + */ + function withAuthorizationPrefix(token) { + if (token.split(/\./).length === 3) { + return `bearer ${token}`; + } -const REGEX_IS_INSTALLATION_LEGACY = /^v1\./; -const REGEX_IS_INSTALLATION = /^ghs_/; -const REGEX_IS_USER_TO_SERVER = /^ghu_/; -async function auth(token) { - const isApp = token.split(/\./).length === 3; - const isInstallation = REGEX_IS_INSTALLATION_LEGACY.test(token) || REGEX_IS_INSTALLATION.test(token); - const isUserToServer = REGEX_IS_USER_TO_SERVER.test(token); - const tokenType = isApp ? "app" : isInstallation ? "installation" : isUserToServer ? "user-to-server" : "oauth"; - return { - type: "token", - token: token, - tokenType - }; -} + return `token ${token}`; + } -/** - * Prefix token for usage in the Authorization header - * - * @param token OAuth token or JSON Web Token - */ -function withAuthorizationPrefix(token) { - if (token.split(/\./).length === 3) { - return `bearer ${token}`; - } + async function hook(token, request, route, parameters) { + const endpoint = request.endpoint.merge(route, parameters); + endpoint.headers.authorization = withAuthorizationPrefix(token); + return request(endpoint); + } - return `token ${token}`; -} + const createTokenAuth = function createTokenAuth(token) { + if (!token) { + throw new Error("[@octokit/auth-token] No token passed to createTokenAuth"); + } -async function hook(token, request, route, parameters) { - const endpoint = request.endpoint.merge(route, parameters); - endpoint.headers.authorization = withAuthorizationPrefix(token); - return request(endpoint); -} + if (typeof token !== "string") { + throw new Error("[@octokit/auth-token] Token passed to createTokenAuth is not a string"); + } -const createTokenAuth = function createTokenAuth(token) { - if (!token) { - throw new Error("[@octokit/auth-token] No token passed to createTokenAuth"); - } + token = token.replace(/^(token|bearer) +/i, ""); + return Object.assign(auth.bind(null, token), {hook : hook.bind(null, token)}); + }; - if (typeof token !== "string") { - throw new Error("[@octokit/auth-token] Token passed to createTokenAuth is not a string"); - } + exports.createTokenAuth = createTokenAuth; + //# sourceMappingURL=index.js.map - token = token.replace(/^(token|bearer) +/i, ""); - return Object.assign(auth.bind(null, token), { - hook: hook.bind(null, token) - }); -}; + /***/ }), -exports.createTokenAuth = createTokenAuth; -//# sourceMappingURL=index.js.map +/***/ 6762: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; + Object.defineProperty(exports, "__esModule", ({value : true})); -/***/ }), + var universalUserAgent = __nccwpck_require__(5030); + var beforeAfterHook = __nccwpck_require__(3682); + var request = __nccwpck_require__(6234); + var graphql = __nccwpck_require__(8467); + var authToken = __nccwpck_require__(334); -/***/ 6762: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + function _objectWithoutPropertiesLoose(source, excluded) { + if (source == null) + return {}; + var target = {}; + var sourceKeys = Object.keys(source); + var key, i; + + for (i = 0; i < sourceKeys.length; i++) { + key = sourceKeys[i]; + if (excluded.indexOf(key) >= 0) + continue; + target[key] = source[key]; + } -"use strict"; + return target; + } + function _objectWithoutProperties(source, excluded) { + if (source == null) + return {}; -Object.defineProperty(exports, "__esModule", ({ value: true })); + var target = _objectWithoutPropertiesLoose(source, excluded); -var universalUserAgent = __nccwpck_require__(5030); -var beforeAfterHook = __nccwpck_require__(3682); -var request = __nccwpck_require__(6234); -var graphql = __nccwpck_require__(8467); -var authToken = __nccwpck_require__(334); + var key, i; -function _objectWithoutPropertiesLoose(source, excluded) { - if (source == null) return {}; - var target = {}; - var sourceKeys = Object.keys(source); - var key, i; + if (Object.getOwnPropertySymbols) { + var sourceSymbolKeys = Object.getOwnPropertySymbols(source); - for (i = 0; i < sourceKeys.length; i++) { - key = sourceKeys[i]; - if (excluded.indexOf(key) >= 0) continue; - target[key] = source[key]; - } + for (i = 0; i < sourceSymbolKeys.length; i++) { + key = sourceSymbolKeys[i]; + if (excluded.indexOf(key) >= 0) + continue; + if (!Object.prototype.propertyIsEnumerable.call(source, key)) + continue; + target[key] = source[key]; + } + } - return target; -} + return target; + } + + const VERSION = "3.6.0"; + + const _excluded = [ "authStrategy" ]; + class Octokit { + constructor(options = {}) { + const hook = new beforeAfterHook.Collection(); + const requestDefaults = { + baseUrl : request.request.endpoint.DEFAULTS.baseUrl, + headers : {}, + request : Object.assign({}, options.request, { + // @ts-ignore internal usage only, no need to type + hook : hook.bind(null, "request") + }), + mediaType : {previews : [], format : ""} + }; // prepend default user agent with `options.userAgent` if set + + requestDefaults.headers["user-agent"] = [ + options.userAgent, + `octokit-core.js/${VERSION} ${universalUserAgent.getUserAgent()}` + ].filter(Boolean).join(" "); + + if (options.baseUrl) { + requestDefaults.baseUrl = options.baseUrl; + } + + if (options.previews) { + requestDefaults.mediaType.previews = options.previews; + } + + if (options.timeZone) { + requestDefaults.headers["time-zone"] = options.timeZone; + } + + this.request = request.request.defaults(requestDefaults); + this.graphql = graphql.withCustomRequest(this.request).defaults(requestDefaults); + this.log = Object.assign( + {debug : () => {}, info : () => {}, warn : console.warn.bind(console), error : console.error.bind(console)}, + options.log); + this.hook = hook; // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance + // is unauthenticated. The `this.auth()` method is a no-op and no request hook is registered. + // (2) If only `options.auth` is set, use the default token authentication strategy. + // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many + // strategies accept a custom request instance. + // TODO: type `options.auth` based on `options.authStrategy`. + + if (!options.authStrategy) { + if (!options.auth) { + // (1) + this.auth = async () => ({type : "unauthenticated"}); + } else { + // (2) + const auth = authToken.createTokenAuth(options.auth); // @ts-ignore ¯\_(ツ)_/¯ -function _objectWithoutProperties(source, excluded) { - if (source == null) return {}; + hook.wrap("request", auth.hook); + this.auth = auth; + } + } else { + const {authStrategy} = options, otherOptions = _objectWithoutProperties(options, _excluded); + + const auth = authStrategy(Object.assign( + { + request : this.request, + log : this.log, + // we pass the current octokit instance as well as its constructor options + // to allow for authentication strategies that return a new octokit instance + // that shares the same internal state as the current one. The original + // requirement for this was the "event-octokit" authentication strategy + // of https://github.com/probot/octokit-auth-probot. + octokit : this, + octokitOptions : otherOptions + }, + options.auth)); // @ts-ignore ¯\_(ツ)_/¯ + + hook.wrap("request", auth.hook); + this.auth = auth; + } // apply plugins + // https://stackoverflow.com/a/16345172 + + const classConstructor = this.constructor; + classConstructor.plugins.forEach(plugin => { Object.assign(this, plugin(this, options)); }); + } - var target = _objectWithoutPropertiesLoose(source, excluded); + static defaults(defaults) { + const OctokitWithDefaults = class extends this { + constructor(...args) { + const options = args[0] || {}; - var key, i; + if (typeof defaults === "function") { + super(defaults(options)); + return; + } - if (Object.getOwnPropertySymbols) { - var sourceSymbolKeys = Object.getOwnPropertySymbols(source); + super(Object.assign( + {}, + defaults, + options, + options.userAgent && defaults.userAgent ? {userAgent : `${options.userAgent} ${defaults.userAgent}`} + : null)); + } + }; + return OctokitWithDefaults; + } + /** + * Attach a plugin (or many) to your Octokit instance. + * + * @example + * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...) + */ + + static plugin(...newPlugins) { + var _a; - for (i = 0; i < sourceSymbolKeys.length; i++) { - key = sourceSymbolKeys[i]; - if (excluded.indexOf(key) >= 0) continue; - if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue; - target[key] = source[key]; + const currentPlugins = this.plugins; + const NewOctokit = (_a = class extends this {}, + _a.plugins = currentPlugins.concat( + newPlugins.filter(plugin => !currentPlugins.includes(plugin))), + _a); + return NewOctokit; + } } - } + Octokit.VERSION = VERSION; + Octokit.plugins = []; - return target; -} + exports.Octokit = Octokit; + //# sourceMappingURL=index.js.map -const VERSION = "3.6.0"; - -const _excluded = ["authStrategy"]; -class Octokit { - constructor(options = {}) { - const hook = new beforeAfterHook.Collection(); - const requestDefaults = { - baseUrl: request.request.endpoint.DEFAULTS.baseUrl, - headers: {}, - request: Object.assign({}, options.request, { - // @ts-ignore internal usage only, no need to type - hook: hook.bind(null, "request") - }), - mediaType: { - previews: [], - format: "" - } - }; // prepend default user agent with `options.userAgent` if set - - requestDefaults.headers["user-agent"] = [options.userAgent, `octokit-core.js/${VERSION} ${universalUserAgent.getUserAgent()}`].filter(Boolean).join(" "); - - if (options.baseUrl) { - requestDefaults.baseUrl = options.baseUrl; - } - - if (options.previews) { - requestDefaults.mediaType.previews = options.previews; - } - - if (options.timeZone) { - requestDefaults.headers["time-zone"] = options.timeZone; - } - - this.request = request.request.defaults(requestDefaults); - this.graphql = graphql.withCustomRequest(this.request).defaults(requestDefaults); - this.log = Object.assign({ - debug: () => {}, - info: () => {}, - warn: console.warn.bind(console), - error: console.error.bind(console) - }, options.log); - this.hook = hook; // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance - // is unauthenticated. The `this.auth()` method is a no-op and no request hook is registered. - // (2) If only `options.auth` is set, use the default token authentication strategy. - // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance. - // TODO: type `options.auth` based on `options.authStrategy`. - - if (!options.authStrategy) { - if (!options.auth) { - // (1) - this.auth = async () => ({ - type: "unauthenticated" - }); - } else { - // (2) - const auth = authToken.createTokenAuth(options.auth); // @ts-ignore ¯\_(ツ)_/¯ + /***/ }), + +/***/ 9440: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; + + Object.defineProperty(exports, "__esModule", ({value : true})); - hook.wrap("request", auth.hook); - this.auth = auth; + var isPlainObject = __nccwpck_require__(3287); + var universalUserAgent = __nccwpck_require__(5030); + + function lowercaseKeys(object) { + if (!object) { + return {}; } - } else { - const { - authStrategy - } = options, - otherOptions = _objectWithoutProperties(options, _excluded); - - const auth = authStrategy(Object.assign({ - request: this.request, - log: this.log, - // we pass the current octokit instance as well as its constructor options - // to allow for authentication strategies that return a new octokit instance - // that shares the same internal state as the current one. The original - // requirement for this was the "event-octokit" authentication strategy - // of https://github.com/probot/octokit-auth-probot. - octokit: this, - octokitOptions: otherOptions - }, options.auth)); // @ts-ignore ¯\_(ツ)_/¯ - - hook.wrap("request", auth.hook); - this.auth = auth; - } // apply plugins - // https://stackoverflow.com/a/16345172 - - - const classConstructor = this.constructor; - classConstructor.plugins.forEach(plugin => { - Object.assign(this, plugin(this, options)); - }); - } - static defaults(defaults) { - const OctokitWithDefaults = class extends this { - constructor(...args) { - const options = args[0] || {}; + return Object.keys(object).reduce((newObj, key) => { + newObj[key.toLowerCase()] = object[key]; + return newObj; + }, {}); + } - if (typeof defaults === "function") { - super(defaults(options)); - return; + function mergeDeep(defaults, options) { + const result = Object.assign({}, defaults); + Object.keys(options).forEach(key => { + if (isPlainObject.isPlainObject(options[key])) { + if (!(key in defaults)) + Object.assign(result, {[key] : options[key]}); + else + result[key] = mergeDeep(defaults[key], options[key]); + } else { + Object.assign(result, {[key] : options[key]}); } + }); + return result; + } - super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent ? { - userAgent: `${options.userAgent} ${defaults.userAgent}` - } : null)); + function removeUndefinedProperties(obj) { + for (const key in obj) { + if (obj[key] === undefined) { + delete obj[key]; + } } - }; - return OctokitWithDefaults; - } - /** - * Attach a plugin (or many) to your Octokit instance. - * - * @example - * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...) - */ + return obj; + } + function merge(defaults, route, options) { + if (typeof route === "string") { + let [method, url] = route.split(" "); + options = Object.assign(url ? {method, url} : {url : method}, options); + } else { + options = Object.assign({}, route); + } // lowercase header names before merging with defaults to avoid duplicates - static plugin(...newPlugins) { - var _a; + options.headers = lowercaseKeys(options.headers); // remove properties with undefined values before merging - const currentPlugins = this.plugins; - const NewOctokit = (_a = class extends this {}, _a.plugins = currentPlugins.concat(newPlugins.filter(plugin => !currentPlugins.includes(plugin))), _a); - return NewOctokit; - } + removeUndefinedProperties(options); + removeUndefinedProperties(options.headers); + const mergedOptions = + mergeDeep(defaults || {}, options); // mediaType.previews arrays are merged, instead of overwritten -} -Octokit.VERSION = VERSION; -Octokit.plugins = []; + if (defaults && defaults.mediaType.previews.length) { + mergedOptions.mediaType.previews = + defaults.mediaType.previews.filter(preview => !mergedOptions.mediaType.previews.includes(preview)) + .concat(mergedOptions.mediaType.previews); + } -exports.Octokit = Octokit; -//# sourceMappingURL=index.js.map + mergedOptions.mediaType.previews = + mergedOptions.mediaType.previews.map(preview => preview.replace(/-preview/, "")); + return mergedOptions; + } + function addQueryParameters(url, parameters) { + const separator = /\?/.test(url) ? "&" : "?"; + const names = Object.keys(parameters); -/***/ }), + if (names.length === 0) { + return url; + } -/***/ 9440: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + return url + separator + + names + .map(name => { + if (name === "q") { + return "q=" + parameters.q.split("+").map(encodeURIComponent).join("+"); + } + + return `${name}=${encodeURIComponent(parameters[name])}`; + }) + .join("&"); + } -"use strict"; + const urlVariableRegex = /\{[^}]+\}/g; + function removeNonChars(variableName) { + return variableName.replace(/^\W+|\W+$/g, "").split(/,/); + } -Object.defineProperty(exports, "__esModule", ({ value: true })); + function extractUrlVariableNames(url) { + const matches = url.match(urlVariableRegex); -var isPlainObject = __nccwpck_require__(3287); -var universalUserAgent = __nccwpck_require__(5030); + if (!matches) { + return []; + } -function lowercaseKeys(object) { - if (!object) { - return {}; - } + return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []); + } - return Object.keys(object).reduce((newObj, key) => { - newObj[key.toLowerCase()] = object[key]; - return newObj; - }, {}); -} + function omit(object, keysToOmit) { + return Object.keys(object).filter(option => !keysToOmit.includes(option)).reduce((obj, key) => { + obj[key] = object[key]; + return obj; + }, {}); + } -function mergeDeep(defaults, options) { - const result = Object.assign({}, defaults); - Object.keys(options).forEach(key => { - if (isPlainObject.isPlainObject(options[key])) { - if (!(key in defaults)) Object.assign(result, { - [key]: options[key] - });else result[key] = mergeDeep(defaults[key], options[key]); - } else { - Object.assign(result, { - [key]: options[key] + // Based on https://github.com/bramstein/url-template, licensed under BSD + // TODO: create separate package. + // + // Copyright (c) 2012-2014, Bram Stein + // All rights reserved. + // Redistribution and use in source and binary forms, with or without + // modification, are permitted provided that the following conditions + // are met: + // 1. Redistributions of source code must retain the above copyright + // notice, this list of conditions and the following disclaimer. + // 2. Redistributions in binary form must reproduce the above copyright + // notice, this list of conditions and the following disclaimer in the + // documentation and/or other materials provided with the distribution. + // 3. The name of the author may not be used to endorse or promote products + // derived from this software without specific prior written permission. + // THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED + // WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF + // MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO + // EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, + // INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, + // BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY + // OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING + // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, + // EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + /* istanbul ignore file */ + function encodeReserved(str) { + return str.split(/(%[0-9A-Fa-f]{2})/g) + .map(function(part) { + if (!/%[0-9A-Fa-f]/.test(part)) { + part = encodeURI(part).replace(/%5B/g, "[").replace(/%5D/g, "]"); + } + + return part; + }) + .join(""); + } + + function encodeUnreserved(str) { + return encodeURIComponent(str).replace(/[!'()*]/g, function(c) { + return "%" + c.charCodeAt(0).toString(16).toUpperCase(); }); } - }); - return result; -} -function removeUndefinedProperties(obj) { - for (const key in obj) { - if (obj[key] === undefined) { - delete obj[key]; + function encodeValue(operator, value, key) { + value = operator === "+" || operator === "#" ? encodeReserved(value) : encodeUnreserved(value); + + if (key) { + return encodeUnreserved(key) + "=" + value; + } else { + return value; + } } - } - return obj; -} + function isDefined(value) { + return value !== undefined && value !== null; + } -function merge(defaults, route, options) { - if (typeof route === "string") { - let [method, url] = route.split(" "); - options = Object.assign(url ? { - method, - url - } : { - url: method - }, options); - } else { - options = Object.assign({}, route); - } // lowercase header names before merging with defaults to avoid duplicates + function isKeyOperator(operator) { + return operator === ";" || operator === "&" || operator === "?"; + } + function getValues(context, operator, key, modifier) { + var value = context[key], result = []; - options.headers = lowercaseKeys(options.headers); // remove properties with undefined values before merging + if (isDefined(value) && value !== "") { + if (typeof value === "string" || typeof value === "number" || typeof value === "boolean") { + value = value.toString(); - removeUndefinedProperties(options); - removeUndefinedProperties(options.headers); - const mergedOptions = mergeDeep(defaults || {}, options); // mediaType.previews arrays are merged, instead of overwritten + if (modifier && modifier !== "*") { + value = value.substring(0, parseInt(modifier, 10)); + } - if (defaults && defaults.mediaType.previews.length) { - mergedOptions.mediaType.previews = defaults.mediaType.previews.filter(preview => !mergedOptions.mediaType.previews.includes(preview)).concat(mergedOptions.mediaType.previews); - } + result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : "")); + } else { + if (modifier === "*") { + if (Array.isArray(value)) { + value.filter(isDefined).forEach(function(value) { + result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : "")); + }); + } else { + Object.keys(value).forEach(function(k) { + if (isDefined(value[k])) { + result.push(encodeValue(operator, value[k], k)); + } + }); + } + } else { + const tmp = []; - mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map(preview => preview.replace(/-preview/, "")); - return mergedOptions; -} + if (Array.isArray(value)) { + value.filter(isDefined).forEach(function(value) { + tmp.push(encodeValue(operator, value)); + }); + } else { + Object.keys(value).forEach(function(k) { + if (isDefined(value[k])) { + tmp.push(encodeUnreserved(k)); + tmp.push(encodeValue(operator, value[k].toString())); + } + }); + } -function addQueryParameters(url, parameters) { - const separator = /\?/.test(url) ? "&" : "?"; - const names = Object.keys(parameters); + if (isKeyOperator(operator)) { + result.push(encodeUnreserved(key) + "=" + tmp.join(",")); + } else if (tmp.length !== 0) { + result.push(tmp.join(",")); + } + } + } + } else { + if (operator === ";") { + if (isDefined(value)) { + result.push(encodeUnreserved(key)); + } + } else if (value === "" && (operator === "&" || operator === "?")) { + result.push(encodeUnreserved(key) + "="); + } else if (value === "") { + result.push(""); + } + } - if (names.length === 0) { - return url; - } + return result; + } - return url + separator + names.map(name => { - if (name === "q") { - return "q=" + parameters.q.split("+").map(encodeURIComponent).join("+"); + function parseUrl(template) { + return {expand : expand.bind(null, template)}; } - return `${name}=${encodeURIComponent(parameters[name])}`; - }).join("&"); -} + function expand(template, context) { + var operators = [ "+", "#", ".", "/", ";", "?", "&" ]; + return template.replace(/\{([^\{\}]+)\}|([^\{\}]+)/g, function(_, expression, literal) { + if (expression) { + let operator = ""; + const values = []; -const urlVariableRegex = /\{[^}]+\}/g; + if (operators.indexOf(expression.charAt(0)) !== -1) { + operator = expression.charAt(0); + expression = expression.substr(1); + } -function removeNonChars(variableName) { - return variableName.replace(/^\W+|\W+$/g, "").split(/,/); -} + expression.split(/,/g).forEach(function(variable) { + var tmp = /([^:\*]*)(?::(\d+)|(\*))?/.exec(variable); + values.push(getValues(context, operator, tmp[1], tmp[2] || tmp[3])); + }); -function extractUrlVariableNames(url) { - const matches = url.match(urlVariableRegex); + if (operator && operator !== "+") { + var separator = ","; - if (!matches) { - return []; - } + if (operator === "?") { + separator = "&"; + } else if (operator !== "#") { + separator = operator; + } - return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []); -} + return (values.length !== 0 ? operator : "") + values.join(separator); + } else { + return values.join(","); + } + } else { + return encodeReserved(literal); + } + }); + } -function omit(object, keysToOmit) { - return Object.keys(object).filter(option => !keysToOmit.includes(option)).reduce((obj, key) => { - obj[key] = object[key]; - return obj; - }, {}); -} + function parse(options) { + // https://fetch.spec.whatwg.org/#methods + let method = options.method.toUpperCase(); // replace :varname with {varname} to make it RFC 6570 compatible -// Based on https://github.com/bramstein/url-template, licensed under BSD -// TODO: create separate package. -// -// Copyright (c) 2012-2014, Bram Stein -// All rights reserved. -// Redistribution and use in source and binary forms, with or without -// modification, are permitted provided that the following conditions -// are met: -// 1. Redistributions of source code must retain the above copyright -// notice, this list of conditions and the following disclaimer. -// 2. Redistributions in binary form must reproduce the above copyright -// notice, this list of conditions and the following disclaimer in the -// documentation and/or other materials provided with the distribution. -// 3. The name of the author may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED -// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF -// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO -// EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, -// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, -// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, -// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY -// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING -// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, -// EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -/* istanbul ignore file */ -function encodeReserved(str) { - return str.split(/(%[0-9A-Fa-f]{2})/g).map(function (part) { - if (!/%[0-9A-Fa-f]/.test(part)) { - part = encodeURI(part).replace(/%5B/g, "[").replace(/%5D/g, "]"); - } - - return part; - }).join(""); -} + let url = (options.url || "/").replace(/:([a-z]\w+)/g, "{$1}"); + let headers = Object.assign({}, options.headers); + let body; + let parameters = omit(options, [ + "method", + "baseUrl", + "url", + "headers", + "request", + "mediaType" + ]); // extract variable names from URL to calculate remaining variables later -function encodeUnreserved(str) { - return encodeURIComponent(str).replace(/[!'()*]/g, function (c) { - return "%" + c.charCodeAt(0).toString(16).toUpperCase(); - }); -} + const urlVariableNames = extractUrlVariableNames(url); + url = parseUrl(url).expand(parameters); -function encodeValue(operator, value, key) { - value = operator === "+" || operator === "#" ? encodeReserved(value) : encodeUnreserved(value); + if (!/^http/.test(url)) { + url = options.baseUrl + url; + } - if (key) { - return encodeUnreserved(key) + "=" + value; - } else { - return value; - } -} + const omittedParameters = + Object.keys(options).filter(option => urlVariableNames.includes(option)).concat("baseUrl"); + const remainingParameters = omit(parameters, omittedParameters); + const isBinaryRequest = /application\/octet-stream/i.test(headers.accept); + + if (!isBinaryRequest) { + if (options.mediaType.format) { + // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw + headers.accept = headers.accept.split(/,/) + .map( + preview => preview.replace( + /application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, + `application/vnd$1$2.${options.mediaType.format}`)) + .join(","); + } -function isDefined(value) { - return value !== undefined && value !== null; -} + if (options.mediaType.previews.length) { + const previewsFromAcceptHeader = headers.accept.match(/[\w-]+(?=-preview)/g) || []; + headers.accept = previewsFromAcceptHeader.concat(options.mediaType.previews) + .map(preview => { + const format = options.mediaType.format ? `.${options.mediaType.format}` : "+json"; + return `application/vnd.github.${preview}-preview${format}`; + }) + .join(","); + } + } // for GET/HEAD requests, set URL query parameters from remaining parameters + // for PATCH/POST/PUT/DELETE requests, set request body from remaining parameters -function isKeyOperator(operator) { - return operator === ";" || operator === "&" || operator === "?"; -} + if ([ "GET", "HEAD" ].includes(method)) { + url = addQueryParameters(url, remainingParameters); + } else { + if ("data" in remainingParameters) { + body = remainingParameters.data; + } else { + if (Object.keys(remainingParameters).length) { + body = remainingParameters; + } else { + headers["content-length"] = 0; + } + } + } // default content-type for JSON if body is set + + if (!headers["content-type"] && typeof body !== "undefined") { + headers["content-type"] = "application/json; charset=utf-8"; + } // GitHub expects 'content-length: 0' header for PUT/PATCH requests without body. + // fetch does not allow to set `content-length` header, but we can set body to an empty string + + if ([ "PATCH", "PUT" ].includes(method) && typeof body === "undefined") { + body = ""; + } // Only return body/request keys if present + + return Object.assign( + {method, url, headers}, + typeof body !== "undefined" ? {body} : null, + options.request ? {request : options.request} : null); + } + + function endpointWithDefaults(defaults, route, options) { + return parse(merge(defaults, route, options)); + } + + function withDefaults(oldDefaults, newDefaults) { + const DEFAULTS = merge(oldDefaults, newDefaults); + const endpoint = endpointWithDefaults.bind(null, DEFAULTS); + return Object.assign( + endpoint, + {DEFAULTS, defaults : withDefaults.bind(null, DEFAULTS), merge : merge.bind(null, DEFAULTS), parse}); + } + + const VERSION = "6.0.12"; + + const userAgent = `octokit-endpoint.js/${VERSION} ${ + universalUserAgent.getUserAgent()}`; // DEFAULTS has all properties set that EndpointOptions has, except url. + // So we use RequestParameters and add method as additional required property. + + const DEFAULTS = { + method : "GET", + baseUrl : "https://api.github.com", + headers : {accept : "application/vnd.github.v3+json", "user-agent" : userAgent}, + mediaType : {format : "", previews : []} + }; + + const endpoint = withDefaults(null, DEFAULTS); + + exports.endpoint = endpoint; + //# sourceMappingURL=index.js.map + + /***/ }), + +/***/ 8467: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; + + Object.defineProperty(exports, "__esModule", ({value : true})); + + var request = __nccwpck_require__(6234); + var universalUserAgent = __nccwpck_require__(5030); + + const VERSION = "4.8.0"; + + function _buildMessageForResponseErrors(data) { + return `Request failed due to following response errors:\n` + data.errors.map(e => ` - ${e.message}`).join("\n"); + } + + class GraphqlResponseError extends Error { + constructor(request, headers, response) { + super(_buildMessageForResponseErrors(response)); + this.request = request; + this.headers = headers; + this.response = response; + this.name = "GraphqlResponseError"; // Expose the errors and response data in their shorthand properties. + + this.errors = response.errors; + this.data = response.data; // Maintains proper stack trace (only available on V8) -function getValues(context, operator, key, modifier) { - var value = context[key], - result = []; + /* istanbul ignore next */ - if (isDefined(value) && value !== "") { - if (typeof value === "string" || typeof value === "number" || typeof value === "boolean") { - value = value.toString(); + if (Error.captureStackTrace) { + Error.captureStackTrace(this, this.constructor); + } + } + } + + const NON_VARIABLE_OPTIONS = [ "method", "baseUrl", "url", "headers", "request", "query", "mediaType" ]; + const FORBIDDEN_VARIABLE_OPTIONS = [ "query", "method", "url" ]; + const GHES_V3_SUFFIX_REGEX = /\/api\/v3\/?$/; + function graphql(request, query, options) { + if (options) { + if (typeof query === "string" && "query" in options) { + return Promise.reject(new Error(`[@octokit/graphql] "query" cannot be used as variable name`)); + } - if (modifier && modifier !== "*") { - value = value.substring(0, parseInt(modifier, 10)); + for (const key in options) { + if (!FORBIDDEN_VARIABLE_OPTIONS.includes(key)) + continue; + return Promise.reject(new Error(`[@octokit/graphql] "${key}" cannot be used as variable name`)); + } } - result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : "")); - } else { - if (modifier === "*") { - if (Array.isArray(value)) { - value.filter(isDefined).forEach(function (value) { - result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : "")); - }); - } else { - Object.keys(value).forEach(function (k) { - if (isDefined(value[k])) { - result.push(encodeValue(operator, value[k], k)); - } + const parsedOptions = typeof query === "string" ? Object.assign({query}, options) : query; + const requestOptions = Object.keys(parsedOptions).reduce((result, key) => { + if (NON_VARIABLE_OPTIONS.includes(key)) { + result[key] = parsedOptions[key]; + return result; + } + + if (!result.variables) { + result.variables = {}; + } + + result.variables[key] = parsedOptions[key]; + return result; + }, {}); // workaround for GitHub Enterprise baseUrl set with /api/v3 suffix + // https://github.com/octokit/auth-app.js/issues/111#issuecomment-657610451 + + const baseUrl = parsedOptions.baseUrl || request.endpoint.DEFAULTS.baseUrl; + + if (GHES_V3_SUFFIX_REGEX.test(baseUrl)) { + requestOptions.url = baseUrl.replace(GHES_V3_SUFFIX_REGEX, "/api/graphql"); + } + + return request(requestOptions).then(response => { + if (response.data.errors) { + const headers = {}; + + for (const key of Object.keys(response.headers)) { + headers[key] = response.headers[key]; + } + + throw new GraphqlResponseError(requestOptions, headers, response.data); + } + + return response.data.data; + }); + } + + function withDefaults(request$1, newDefaults) { + const newRequest = request$1.defaults(newDefaults); + + const newApi = (query, options) => { return graphql(newRequest, query, options); }; + + return Object.assign( + newApi, {defaults : withDefaults.bind(null, newRequest), endpoint : request.request.endpoint}); + } + + const graphql$1 = withDefaults(request.request, { + headers : {"user-agent" : `octokit-graphql.js/${VERSION} ${universalUserAgent.getUserAgent()}`}, + method : "POST", + url : "/graphql" + }); + function withCustomRequest(customRequest) { + return withDefaults(customRequest, {method : "POST", url : "/graphql"}); + } + + exports.GraphqlResponseError = GraphqlResponseError; + exports.graphql = graphql$1; + exports.withCustomRequest = withCustomRequest; + //# sourceMappingURL=index.js.map + + /***/ }), + +/***/ 4193: +/***/ ((__unused_webpack_module, exports) => { + "use strict"; + + Object.defineProperty(exports, "__esModule", ({value : true})); + + const VERSION = "2.17.0"; + + function ownKeys(object, enumerableOnly) { + var keys = Object.keys(object); + + if (Object.getOwnPropertySymbols) { + var symbols = Object.getOwnPropertySymbols(object); + + if (enumerableOnly) { + symbols = symbols.filter(function(sym) { + return Object.getOwnPropertyDescriptor(object, sym).enumerable; }); } - } else { - const tmp = []; - if (Array.isArray(value)) { - value.filter(isDefined).forEach(function (value) { - tmp.push(encodeValue(operator, value)); + keys.push.apply(keys, symbols); + } + + return keys; + } + + function _objectSpread2(target) { + for (var i = 1; i < arguments.length; i++) { + var source = arguments[i] != null ? arguments[i] : {}; + + if (i % 2) { + ownKeys(Object(source), true).forEach(function(key) { + _defineProperty(target, key, source[key]); }); + } else if (Object.getOwnPropertyDescriptors) { + Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)); } else { - Object.keys(value).forEach(function (k) { - if (isDefined(value[k])) { - tmp.push(encodeUnreserved(k)); - tmp.push(encodeValue(operator, value[k].toString())); - } + ownKeys(Object(source)).forEach(function(key) { + Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key)); }); } + } + + return target; + } + + function _defineProperty(obj, key, value) { + if (key in obj) { + Object.defineProperty(obj, key, {value : value, enumerable : true, configurable : true, writable : true}); + } else { + obj[key] = value; + } + + return obj; + } + + /** + * Some “list” response that can be paginated have a different response structure + * + * They have a `total_count` key in the response (search also has `incomplete_results`, + * /installation/repositories also has `repository_selection`), as well as a key with + * the list of the items which name varies from endpoint to endpoint. + * + * Octokit normalizes these responses so that paginated results are always returned following + * the same structure. One challenge is that if the list response has only one page, no Link + * header is provided, so this header alone is not sufficient to check wether a response is + * paginated or not. + * + * We check if a "total_count" key is present in the response data, but also make sure that + * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would + * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref + */ + function normalizePaginatedListResponse(response) { + // endpoints can respond with 204 if repository is empty + if (!response.data) { + return _objectSpread2(_objectSpread2({}, response), {}, {data : []}); + } - if (isKeyOperator(operator)) { - result.push(encodeUnreserved(key) + "=" + tmp.join(",")); - } else if (tmp.length !== 0) { - result.push(tmp.join(",")); - } + const responseNeedsNormalization = "total_count" in response.data && !("url" in response.data); + if (!responseNeedsNormalization) + return response; // keep the additional properties intact as there is currently no other way + // to retrieve the same information. + + const incompleteResults = response.data.incomplete_results; + const repositorySelection = response.data.repository_selection; + const totalCount = response.data.total_count; + delete response.data.incomplete_results; + delete response.data.repository_selection; + delete response.data.total_count; + const namespaceKey = Object.keys(response.data)[0]; + const data = response.data[namespaceKey]; + response.data = data; + + if (typeof incompleteResults !== "undefined") { + response.data.incomplete_results = incompleteResults; } - } - } else { - if (operator === ";") { - if (isDefined(value)) { - result.push(encodeUnreserved(key)); + + if (typeof repositorySelection !== "undefined") { + response.data.repository_selection = repositorySelection; } - } else if (value === "" && (operator === "&" || operator === "?")) { - result.push(encodeUnreserved(key) + "="); - } else if (value === "") { - result.push(""); + + response.data.total_count = totalCount; + return response; } - } - return result; -} + function iterator(octokit, route, parameters) { + const options = + typeof route === "function" ? route.endpoint(parameters) : octokit.request.endpoint(route, parameters); + const requestMethod = typeof route === "function" ? route : octokit.request; + const method = options.method; + const headers = options.headers; + let url = options.url; + return { + [Symbol.asyncIterator] : () => ({ + async next() { + if (!url) + return {done : true}; -function parseUrl(template) { - return { - expand: expand.bind(null, template) - }; -} + try { + const response = await requestMethod({method, url, headers}); + const normalizedResponse = normalizePaginatedListResponse(response); // `response.headers.link` format: + // '; rel="next", + // ; rel="last"' sets `url` to undefined if "next" + // URL is not present or `link` header is not set + + url = ((normalizedResponse.headers.link || "").match(/<([^>]+)>;\s*rel="next"/) || [])[1]; + return {value : normalizedResponse}; + } catch (error) { + if (error.status !== 409) + throw error; + url = ""; + return {value : {status : 200, headers : {}, data : []}}; + } + } -function expand(template, context) { - var operators = ["+", "#", ".", "/", ";", "?", "&"]; - return template.replace(/\{([^\{\}]+)\}|([^\{\}]+)/g, function (_, expression, literal) { - if (expression) { - let operator = ""; - const values = []; + }) + }; + } - if (operators.indexOf(expression.charAt(0)) !== -1) { - operator = expression.charAt(0); - expression = expression.substr(1); + function paginate(octokit, route, parameters, mapFn) { + if (typeof parameters === "function") { + mapFn = parameters; + parameters = undefined; } - expression.split(/,/g).forEach(function (variable) { - var tmp = /([^:\*]*)(?::(\d+)|(\*))?/.exec(variable); - values.push(getValues(context, operator, tmp[1], tmp[2] || tmp[3])); - }); + return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn); + } + + function gather(octokit, results, iterator, mapFn) { + return iterator.next().then(result => { + if (result.done) { + return results; + } + + let earlyExit = false; - if (operator && operator !== "+") { - var separator = ","; + function done() { + earlyExit = true; + } + + results = results.concat(mapFn ? mapFn(result.value, done) : result.value.data); - if (operator === "?") { - separator = "&"; - } else if (operator !== "#") { - separator = operator; + if (earlyExit) { + return results; } - return (values.length !== 0 ? operator : "") + values.join(separator); + return gather(octokit, results, iterator, mapFn); + }); + } + + const composePaginateRest = Object.assign(paginate, {iterator}); + + const paginatingEndpoints = [ + "GET /app/hook/deliveries", + "GET /app/installations", + "GET /applications/grants", + "GET /authorizations", + "GET /enterprises/{enterprise}/actions/permissions/organizations", + "GET /enterprises/{enterprise}/actions/runner-groups", + "GET /enterprises/{enterprise}/actions/runner-groups/{runner_group_id}/organizations", + "GET /enterprises/{enterprise}/actions/runner-groups/{runner_group_id}/runners", + "GET /enterprises/{enterprise}/actions/runners", + "GET /enterprises/{enterprise}/actions/runners/downloads", + "GET /events", + "GET /gists", + "GET /gists/public", + "GET /gists/starred", + "GET /gists/{gist_id}/comments", + "GET /gists/{gist_id}/commits", + "GET /gists/{gist_id}/forks", + "GET /installation/repositories", + "GET /issues", + "GET /marketplace_listing/plans", + "GET /marketplace_listing/plans/{plan_id}/accounts", + "GET /marketplace_listing/stubbed/plans", + "GET /marketplace_listing/stubbed/plans/{plan_id}/accounts", + "GET /networks/{owner}/{repo}/events", + "GET /notifications", + "GET /organizations", + "GET /orgs/{org}/actions/permissions/repositories", + "GET /orgs/{org}/actions/runner-groups", + "GET /orgs/{org}/actions/runner-groups/{runner_group_id}/repositories", + "GET /orgs/{org}/actions/runner-groups/{runner_group_id}/runners", + "GET /orgs/{org}/actions/runners", + "GET /orgs/{org}/actions/runners/downloads", + "GET /orgs/{org}/actions/secrets", + "GET /orgs/{org}/actions/secrets/{secret_name}/repositories", + "GET /orgs/{org}/blocks", + "GET /orgs/{org}/credential-authorizations", + "GET /orgs/{org}/events", + "GET /orgs/{org}/failed_invitations", + "GET /orgs/{org}/hooks", + "GET /orgs/{org}/hooks/{hook_id}/deliveries", + "GET /orgs/{org}/installations", + "GET /orgs/{org}/invitations", + "GET /orgs/{org}/invitations/{invitation_id}/teams", + "GET /orgs/{org}/issues", + "GET /orgs/{org}/members", + "GET /orgs/{org}/migrations", + "GET /orgs/{org}/migrations/{migration_id}/repositories", + "GET /orgs/{org}/outside_collaborators", + "GET /orgs/{org}/packages", + "GET /orgs/{org}/projects", + "GET /orgs/{org}/public_members", + "GET /orgs/{org}/repos", + "GET /orgs/{org}/secret-scanning/alerts", + "GET /orgs/{org}/team-sync/groups", + "GET /orgs/{org}/teams", + "GET /orgs/{org}/teams/{team_slug}/discussions", + "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments", + "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions", + "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions", + "GET /orgs/{org}/teams/{team_slug}/invitations", + "GET /orgs/{org}/teams/{team_slug}/members", + "GET /orgs/{org}/teams/{team_slug}/projects", + "GET /orgs/{org}/teams/{team_slug}/repos", + "GET /orgs/{org}/teams/{team_slug}/team-sync/group-mappings", + "GET /orgs/{org}/teams/{team_slug}/teams", + "GET /projects/columns/{column_id}/cards", + "GET /projects/{project_id}/collaborators", + "GET /projects/{project_id}/columns", + "GET /repos/{owner}/{repo}/actions/artifacts", + "GET /repos/{owner}/{repo}/actions/runners", + "GET /repos/{owner}/{repo}/actions/runners/downloads", + "GET /repos/{owner}/{repo}/actions/runs", + "GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts", + "GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/jobs", + "GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs", + "GET /repos/{owner}/{repo}/actions/secrets", + "GET /repos/{owner}/{repo}/actions/workflows", + "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs", + "GET /repos/{owner}/{repo}/assignees", + "GET /repos/{owner}/{repo}/autolinks", + "GET /repos/{owner}/{repo}/branches", + "GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations", + "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs", + "GET /repos/{owner}/{repo}/code-scanning/alerts", + "GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances", + "GET /repos/{owner}/{repo}/code-scanning/analyses", + "GET /repos/{owner}/{repo}/collaborators", + "GET /repos/{owner}/{repo}/comments", + "GET /repos/{owner}/{repo}/comments/{comment_id}/reactions", + "GET /repos/{owner}/{repo}/commits", + "GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head", + "GET /repos/{owner}/{repo}/commits/{commit_sha}/comments", + "GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls", + "GET /repos/{owner}/{repo}/commits/{ref}/check-runs", + "GET /repos/{owner}/{repo}/commits/{ref}/check-suites", + "GET /repos/{owner}/{repo}/commits/{ref}/statuses", + "GET /repos/{owner}/{repo}/contributors", + "GET /repos/{owner}/{repo}/deployments", + "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses", + "GET /repos/{owner}/{repo}/events", + "GET /repos/{owner}/{repo}/forks", + "GET /repos/{owner}/{repo}/git/matching-refs/{ref}", + "GET /repos/{owner}/{repo}/hooks", + "GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries", + "GET /repos/{owner}/{repo}/invitations", + "GET /repos/{owner}/{repo}/issues", + "GET /repos/{owner}/{repo}/issues/comments", + "GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions", + "GET /repos/{owner}/{repo}/issues/events", + "GET /repos/{owner}/{repo}/issues/{issue_number}/comments", + "GET /repos/{owner}/{repo}/issues/{issue_number}/events", + "GET /repos/{owner}/{repo}/issues/{issue_number}/labels", + "GET /repos/{owner}/{repo}/issues/{issue_number}/reactions", + "GET /repos/{owner}/{repo}/issues/{issue_number}/timeline", + "GET /repos/{owner}/{repo}/keys", + "GET /repos/{owner}/{repo}/labels", + "GET /repos/{owner}/{repo}/milestones", + "GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels", + "GET /repos/{owner}/{repo}/notifications", + "GET /repos/{owner}/{repo}/pages/builds", + "GET /repos/{owner}/{repo}/projects", + "GET /repos/{owner}/{repo}/pulls", + "GET /repos/{owner}/{repo}/pulls/comments", + "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/comments", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/commits", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/files", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews", + "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments", + "GET /repos/{owner}/{repo}/releases", + "GET /repos/{owner}/{repo}/releases/{release_id}/assets", + "GET /repos/{owner}/{repo}/secret-scanning/alerts", + "GET /repos/{owner}/{repo}/stargazers", + "GET /repos/{owner}/{repo}/subscribers", + "GET /repos/{owner}/{repo}/tags", + "GET /repos/{owner}/{repo}/teams", + "GET /repositories", + "GET /repositories/{repository_id}/environments/{environment_name}/secrets", + "GET /scim/v2/enterprises/{enterprise}/Groups", + "GET /scim/v2/enterprises/{enterprise}/Users", + "GET /scim/v2/organizations/{org}/Users", + "GET /search/code", + "GET /search/commits", + "GET /search/issues", + "GET /search/labels", + "GET /search/repositories", + "GET /search/topics", + "GET /search/users", + "GET /teams/{team_id}/discussions", + "GET /teams/{team_id}/discussions/{discussion_number}/comments", + "GET /teams/{team_id}/discussions/{discussion_number}/comments/{comment_number}/reactions", + "GET /teams/{team_id}/discussions/{discussion_number}/reactions", + "GET /teams/{team_id}/invitations", + "GET /teams/{team_id}/members", + "GET /teams/{team_id}/projects", + "GET /teams/{team_id}/repos", + "GET /teams/{team_id}/team-sync/group-mappings", + "GET /teams/{team_id}/teams", + "GET /user/blocks", + "GET /user/emails", + "GET /user/followers", + "GET /user/following", + "GET /user/gpg_keys", + "GET /user/installations", + "GET /user/installations/{installation_id}/repositories", + "GET /user/issues", + "GET /user/keys", + "GET /user/marketplace_purchases", + "GET /user/marketplace_purchases/stubbed", + "GET /user/memberships/orgs", + "GET /user/migrations", + "GET /user/migrations/{migration_id}/repositories", + "GET /user/orgs", + "GET /user/packages", + "GET /user/public_emails", + "GET /user/repos", + "GET /user/repository_invitations", + "GET /user/starred", + "GET /user/subscriptions", + "GET /user/teams", + "GET /users", + "GET /users/{username}/events", + "GET /users/{username}/events/orgs/{org}", + "GET /users/{username}/events/public", + "GET /users/{username}/followers", + "GET /users/{username}/following", + "GET /users/{username}/gists", + "GET /users/{username}/gpg_keys", + "GET /users/{username}/keys", + "GET /users/{username}/orgs", + "GET /users/{username}/packages", + "GET /users/{username}/projects", + "GET /users/{username}/received_events", + "GET /users/{username}/received_events/public", + "GET /users/{username}/repos", + "GET /users/{username}/starred", + "GET /users/{username}/subscriptions" + ]; + + function isPaginatingEndpoint(arg) { + if (typeof arg === "string") { + return paginatingEndpoints.includes(arg); } else { - return values.join(","); + return false; } - } else { - return encodeReserved(literal); } - }); -} -function parse(options) { - // https://fetch.spec.whatwg.org/#methods - let method = options.method.toUpperCase(); // replace :varname with {varname} to make it RFC 6570 compatible - - let url = (options.url || "/").replace(/:([a-z]\w+)/g, "{$1}"); - let headers = Object.assign({}, options.headers); - let body; - let parameters = omit(options, ["method", "baseUrl", "url", "headers", "request", "mediaType"]); // extract variable names from URL to calculate remaining variables later + /** + * @param octokit Octokit instance + * @param options Options passed to Octokit constructor + */ - const urlVariableNames = extractUrlVariableNames(url); - url = parseUrl(url).expand(parameters); + function paginateRest(octokit) { + return {paginate : Object.assign(paginate.bind(null, octokit), {iterator : iterator.bind(null, octokit)})}; + } + paginateRest.VERSION = VERSION; - if (!/^http/.test(url)) { - url = options.baseUrl + url; - } + exports.composePaginateRest = composePaginateRest; + exports.isPaginatingEndpoint = isPaginatingEndpoint; + exports.paginateRest = paginateRest; + exports.paginatingEndpoints = paginatingEndpoints; + //# sourceMappingURL=index.js.map - const omittedParameters = Object.keys(options).filter(option => urlVariableNames.includes(option)).concat("baseUrl"); - const remainingParameters = omit(parameters, omittedParameters); - const isBinaryRequest = /application\/octet-stream/i.test(headers.accept); + /***/ }), - if (!isBinaryRequest) { - if (options.mediaType.format) { - // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw - headers.accept = headers.accept.split(/,/).map(preview => preview.replace(/application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`)).join(","); - } +/***/ 3044: +/***/ ((__unused_webpack_module, exports) => { + "use strict"; - if (options.mediaType.previews.length) { - const previewsFromAcceptHeader = headers.accept.match(/[\w-]+(?=-preview)/g) || []; - headers.accept = previewsFromAcceptHeader.concat(options.mediaType.previews).map(preview => { - const format = options.mediaType.format ? `.${options.mediaType.format}` : "+json"; - return `application/vnd.github.${preview}-preview${format}`; - }).join(","); - } - } // for GET/HEAD requests, set URL query parameters from remaining parameters - // for PATCH/POST/PUT/DELETE requests, set request body from remaining parameters + Object.defineProperty(exports, "__esModule", ({value : true})); + function ownKeys(object, enumerableOnly) { + var keys = Object.keys(object); - if (["GET", "HEAD"].includes(method)) { - url = addQueryParameters(url, remainingParameters); - } else { - if ("data" in remainingParameters) { - body = remainingParameters.data; - } else { - if (Object.keys(remainingParameters).length) { - body = remainingParameters; - } else { - headers["content-length"] = 0; - } - } - } // default content-type for JSON if body is set + if (Object.getOwnPropertySymbols) { + var symbols = Object.getOwnPropertySymbols(object); + if (enumerableOnly) { + symbols = symbols.filter(function(sym) { + return Object.getOwnPropertyDescriptor(object, sym).enumerable; + }); + } - if (!headers["content-type"] && typeof body !== "undefined") { - headers["content-type"] = "application/json; charset=utf-8"; - } // GitHub expects 'content-length: 0' header for PUT/PATCH requests without body. - // fetch does not allow to set `content-length` header, but we can set body to an empty string + keys.push.apply(keys, symbols); + } + return keys; + } - if (["PATCH", "PUT"].includes(method) && typeof body === "undefined") { - body = ""; - } // Only return body/request keys if present + function _objectSpread2(target) { + for (var i = 1; i < arguments.length; i++) { + var source = arguments[i] != null ? arguments[i] : {}; + if (i % 2) { + ownKeys(Object(source), true).forEach(function(key) { + _defineProperty(target, key, source[key]); + }); + } else if (Object.getOwnPropertyDescriptors) { + Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)); + } else { + ownKeys(Object(source)).forEach(function(key) { + Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key)); + }); + } + } - return Object.assign({ - method, - url, - headers - }, typeof body !== "undefined" ? { - body - } : null, options.request ? { - request: options.request - } : null); -} + return target; + } -function endpointWithDefaults(defaults, route, options) { - return parse(merge(defaults, route, options)); -} + function _defineProperty(obj, key, value) { + if (key in obj) { + Object.defineProperty(obj, key, {value : value, enumerable : true, configurable : true, writable : true}); + } else { + obj[key] = value; + } -function withDefaults(oldDefaults, newDefaults) { - const DEFAULTS = merge(oldDefaults, newDefaults); - const endpoint = endpointWithDefaults.bind(null, DEFAULTS); - return Object.assign(endpoint, { - DEFAULTS, - defaults: withDefaults.bind(null, DEFAULTS), - merge: merge.bind(null, DEFAULTS), - parse - }); -} + return obj; + } + + const Endpoints = { + actions : { + addSelectedRepoToOrgSecret : [ "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}" ], + approveWorkflowRun : [ "POST /repos/{owner}/{repo}/actions/runs/{run_id}/approve" ], + cancelWorkflowRun : [ "POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel" ], + createOrUpdateEnvironmentSecret : + [ "PUT /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}" ], + createOrUpdateOrgSecret : [ "PUT /orgs/{org}/actions/secrets/{secret_name}" ], + createOrUpdateRepoSecret : [ "PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}" ], + createRegistrationTokenForOrg : [ "POST /orgs/{org}/actions/runners/registration-token" ], + createRegistrationTokenForRepo : [ "POST /repos/{owner}/{repo}/actions/runners/registration-token" ], + createRemoveTokenForOrg : [ "POST /orgs/{org}/actions/runners/remove-token" ], + createRemoveTokenForRepo : [ "POST /repos/{owner}/{repo}/actions/runners/remove-token" ], + createWorkflowDispatch : [ "POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches" ], + deleteArtifact : [ "DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}" ], + deleteEnvironmentSecret : + [ "DELETE /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}" ], + deleteOrgSecret : [ "DELETE /orgs/{org}/actions/secrets/{secret_name}" ], + deleteRepoSecret : [ "DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}" ], + deleteSelfHostedRunnerFromOrg : [ "DELETE /orgs/{org}/actions/runners/{runner_id}" ], + deleteSelfHostedRunnerFromRepo : [ "DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}" ], + deleteWorkflowRun : [ "DELETE /repos/{owner}/{repo}/actions/runs/{run_id}" ], + deleteWorkflowRunLogs : [ "DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs" ], + disableSelectedRepositoryGithubActionsOrganization : + [ "DELETE /orgs/{org}/actions/permissions/repositories/{repository_id}" ], + disableWorkflow : [ "PUT /repos/{owner}/{repo}/actions/workflows/{workflow_id}/disable" ], + downloadArtifact : [ "GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}" ], + downloadJobLogsForWorkflowRun : [ "GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs" ], + downloadWorkflowRunAttemptLogs : + [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/logs" ], + downloadWorkflowRunLogs : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs" ], + enableSelectedRepositoryGithubActionsOrganization : + [ "PUT /orgs/{org}/actions/permissions/repositories/{repository_id}" ], + enableWorkflow : [ "PUT /repos/{owner}/{repo}/actions/workflows/{workflow_id}/enable" ], + getAllowedActionsOrganization : [ "GET /orgs/{org}/actions/permissions/selected-actions" ], + getAllowedActionsRepository : [ "GET /repos/{owner}/{repo}/actions/permissions/selected-actions" ], + getArtifact : [ "GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}" ], + getEnvironmentPublicKey : + [ "GET /repositories/{repository_id}/environments/{environment_name}/secrets/public-key" ], + getEnvironmentSecret : + [ "GET /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}" ], + getGithubActionsPermissionsOrganization : [ "GET /orgs/{org}/actions/permissions" ], + getGithubActionsPermissionsRepository : [ "GET /repos/{owner}/{repo}/actions/permissions" ], + getJobForWorkflowRun : [ "GET /repos/{owner}/{repo}/actions/jobs/{job_id}" ], + getOrgPublicKey : [ "GET /orgs/{org}/actions/secrets/public-key" ], + getOrgSecret : [ "GET /orgs/{org}/actions/secrets/{secret_name}" ], + getPendingDeploymentsForRun : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/pending_deployments" ], + getRepoPermissions : [ + "GET /repos/{owner}/{repo}/actions/permissions", + {}, + {renamed : [ "actions", "getGithubActionsPermissionsRepository" ]} + ], + getRepoPublicKey : [ "GET /repos/{owner}/{repo}/actions/secrets/public-key" ], + getRepoSecret : [ "GET /repos/{owner}/{repo}/actions/secrets/{secret_name}" ], + getReviewsForRun : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/approvals" ], + getSelfHostedRunnerForOrg : [ "GET /orgs/{org}/actions/runners/{runner_id}" ], + getSelfHostedRunnerForRepo : [ "GET /repos/{owner}/{repo}/actions/runners/{runner_id}" ], + getWorkflow : [ "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}" ], + getWorkflowRun : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}" ], + getWorkflowRunAttempt : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}" ], + getWorkflowRunUsage : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing" ], + getWorkflowUsage : [ "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing" ], + listArtifactsForRepo : [ "GET /repos/{owner}/{repo}/actions/artifacts" ], + listEnvironmentSecrets : [ "GET /repositories/{repository_id}/environments/{environment_name}/secrets" ], + listJobsForWorkflowRun : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs" ], + listJobsForWorkflowRunAttempt : + [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/jobs" ], + listOrgSecrets : [ "GET /orgs/{org}/actions/secrets" ], + listRepoSecrets : [ "GET /repos/{owner}/{repo}/actions/secrets" ], + listRepoWorkflows : [ "GET /repos/{owner}/{repo}/actions/workflows" ], + listRunnerApplicationsForOrg : [ "GET /orgs/{org}/actions/runners/downloads" ], + listRunnerApplicationsForRepo : [ "GET /repos/{owner}/{repo}/actions/runners/downloads" ], + listSelectedReposForOrgSecret : [ "GET /orgs/{org}/actions/secrets/{secret_name}/repositories" ], + listSelectedRepositoriesEnabledGithubActionsOrganization : + [ "GET /orgs/{org}/actions/permissions/repositories" ], + listSelfHostedRunnersForOrg : [ "GET /orgs/{org}/actions/runners" ], + listSelfHostedRunnersForRepo : [ "GET /repos/{owner}/{repo}/actions/runners" ], + listWorkflowRunArtifacts : [ "GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts" ], + listWorkflowRuns : [ "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs" ], + listWorkflowRunsForRepo : [ "GET /repos/{owner}/{repo}/actions/runs" ], + removeSelectedRepoFromOrgSecret : + [ "DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}" ], + reviewPendingDeploymentsForRun : [ "POST /repos/{owner}/{repo}/actions/runs/{run_id}/pending_deployments" ], + setAllowedActionsOrganization : [ "PUT /orgs/{org}/actions/permissions/selected-actions" ], + setAllowedActionsRepository : [ "PUT /repos/{owner}/{repo}/actions/permissions/selected-actions" ], + setGithubActionsPermissionsOrganization : [ "PUT /orgs/{org}/actions/permissions" ], + setGithubActionsPermissionsRepository : [ "PUT /repos/{owner}/{repo}/actions/permissions" ], + setSelectedReposForOrgSecret : [ "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories" ], + setSelectedRepositoriesEnabledGithubActionsOrganization : [ "PUT /orgs/{org}/actions/permissions/repositories" ] + }, + activity : { + checkRepoIsStarredByAuthenticatedUser : [ "GET /user/starred/{owner}/{repo}" ], + deleteRepoSubscription : [ "DELETE /repos/{owner}/{repo}/subscription" ], + deleteThreadSubscription : [ "DELETE /notifications/threads/{thread_id}/subscription" ], + getFeeds : [ "GET /feeds" ], + getRepoSubscription : [ "GET /repos/{owner}/{repo}/subscription" ], + getThread : [ "GET /notifications/threads/{thread_id}" ], + getThreadSubscriptionForAuthenticatedUser : [ "GET /notifications/threads/{thread_id}/subscription" ], + listEventsForAuthenticatedUser : [ "GET /users/{username}/events" ], + listNotificationsForAuthenticatedUser : [ "GET /notifications" ], + listOrgEventsForAuthenticatedUser : [ "GET /users/{username}/events/orgs/{org}" ], + listPublicEvents : [ "GET /events" ], + listPublicEventsForRepoNetwork : [ "GET /networks/{owner}/{repo}/events" ], + listPublicEventsForUser : [ "GET /users/{username}/events/public" ], + listPublicOrgEvents : [ "GET /orgs/{org}/events" ], + listReceivedEventsForUser : [ "GET /users/{username}/received_events" ], + listReceivedPublicEventsForUser : [ "GET /users/{username}/received_events/public" ], + listRepoEvents : [ "GET /repos/{owner}/{repo}/events" ], + listRepoNotificationsForAuthenticatedUser : [ "GET /repos/{owner}/{repo}/notifications" ], + listReposStarredByAuthenticatedUser : [ "GET /user/starred" ], + listReposStarredByUser : [ "GET /users/{username}/starred" ], + listReposWatchedByUser : [ "GET /users/{username}/subscriptions" ], + listStargazersForRepo : [ "GET /repos/{owner}/{repo}/stargazers" ], + listWatchedReposForAuthenticatedUser : [ "GET /user/subscriptions" ], + listWatchersForRepo : [ "GET /repos/{owner}/{repo}/subscribers" ], + markNotificationsAsRead : [ "PUT /notifications" ], + markRepoNotificationsAsRead : [ "PUT /repos/{owner}/{repo}/notifications" ], + markThreadAsRead : [ "PATCH /notifications/threads/{thread_id}" ], + setRepoSubscription : [ "PUT /repos/{owner}/{repo}/subscription" ], + setThreadSubscription : [ "PUT /notifications/threads/{thread_id}/subscription" ], + starRepoForAuthenticatedUser : [ "PUT /user/starred/{owner}/{repo}" ], + unstarRepoForAuthenticatedUser : [ "DELETE /user/starred/{owner}/{repo}" ] + }, + apps : { + addRepoToInstallation : [ + "PUT /user/installations/{installation_id}/repositories/{repository_id}", + {}, + {renamed : [ "apps", "addRepoToInstallationForAuthenticatedUser" ]} + ], + addRepoToInstallationForAuthenticatedUser : + [ "PUT /user/installations/{installation_id}/repositories/{repository_id}" ], + checkToken : [ "POST /applications/{client_id}/token" ], + createContentAttachment : + [ "POST /content_references/{content_reference_id}/attachments", {mediaType : {previews : [ "corsair" ]}} ], + createContentAttachmentForRepo : [ + "POST /repos/{owner}/{repo}/content_references/{content_reference_id}/attachments", + {mediaType : {previews : [ "corsair" ]}} + ], + createFromManifest : [ "POST /app-manifests/{code}/conversions" ], + createInstallationAccessToken : [ "POST /app/installations/{installation_id}/access_tokens" ], + deleteAuthorization : [ "DELETE /applications/{client_id}/grant" ], + deleteInstallation : [ "DELETE /app/installations/{installation_id}" ], + deleteToken : [ "DELETE /applications/{client_id}/token" ], + getAuthenticated : [ "GET /app" ], + getBySlug : [ "GET /apps/{app_slug}" ], + getInstallation : [ "GET /app/installations/{installation_id}" ], + getOrgInstallation : [ "GET /orgs/{org}/installation" ], + getRepoInstallation : [ "GET /repos/{owner}/{repo}/installation" ], + getSubscriptionPlanForAccount : [ "GET /marketplace_listing/accounts/{account_id}" ], + getSubscriptionPlanForAccountStubbed : [ "GET /marketplace_listing/stubbed/accounts/{account_id}" ], + getUserInstallation : [ "GET /users/{username}/installation" ], + getWebhookConfigForApp : [ "GET /app/hook/config" ], + getWebhookDelivery : [ "GET /app/hook/deliveries/{delivery_id}" ], + listAccountsForPlan : [ "GET /marketplace_listing/plans/{plan_id}/accounts" ], + listAccountsForPlanStubbed : [ "GET /marketplace_listing/stubbed/plans/{plan_id}/accounts" ], + listInstallationReposForAuthenticatedUser : [ "GET /user/installations/{installation_id}/repositories" ], + listInstallations : [ "GET /app/installations" ], + listInstallationsForAuthenticatedUser : [ "GET /user/installations" ], + listPlans : [ "GET /marketplace_listing/plans" ], + listPlansStubbed : [ "GET /marketplace_listing/stubbed/plans" ], + listReposAccessibleToInstallation : [ "GET /installation/repositories" ], + listSubscriptionsForAuthenticatedUser : [ "GET /user/marketplace_purchases" ], + listSubscriptionsForAuthenticatedUserStubbed : [ "GET /user/marketplace_purchases/stubbed" ], + listWebhookDeliveries : [ "GET /app/hook/deliveries" ], + redeliverWebhookDelivery : [ "POST /app/hook/deliveries/{delivery_id}/attempts" ], + removeRepoFromInstallation : [ + "DELETE /user/installations/{installation_id}/repositories/{repository_id}", + {}, + {renamed : [ "apps", "removeRepoFromInstallationForAuthenticatedUser" ]} + ], + removeRepoFromInstallationForAuthenticatedUser : + [ "DELETE /user/installations/{installation_id}/repositories/{repository_id}" ], + resetToken : [ "PATCH /applications/{client_id}/token" ], + revokeInstallationAccessToken : [ "DELETE /installation/token" ], + scopeToken : [ "POST /applications/{client_id}/token/scoped" ], + suspendInstallation : [ "PUT /app/installations/{installation_id}/suspended" ], + unsuspendInstallation : [ "DELETE /app/installations/{installation_id}/suspended" ], + updateWebhookConfigForApp : [ "PATCH /app/hook/config" ] + }, + billing : { + getGithubActionsBillingOrg : [ "GET /orgs/{org}/settings/billing/actions" ], + getGithubActionsBillingUser : [ "GET /users/{username}/settings/billing/actions" ], + getGithubPackagesBillingOrg : [ "GET /orgs/{org}/settings/billing/packages" ], + getGithubPackagesBillingUser : [ "GET /users/{username}/settings/billing/packages" ], + getSharedStorageBillingOrg : [ "GET /orgs/{org}/settings/billing/shared-storage" ], + getSharedStorageBillingUser : [ "GET /users/{username}/settings/billing/shared-storage" ] + }, + checks : { + create : [ "POST /repos/{owner}/{repo}/check-runs" ], + createSuite : [ "POST /repos/{owner}/{repo}/check-suites" ], + get : [ "GET /repos/{owner}/{repo}/check-runs/{check_run_id}" ], + getSuite : [ "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}" ], + listAnnotations : [ "GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations" ], + listForRef : [ "GET /repos/{owner}/{repo}/commits/{ref}/check-runs" ], + listForSuite : [ "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs" ], + listSuitesForRef : [ "GET /repos/{owner}/{repo}/commits/{ref}/check-suites" ], + rerequestRun : [ "POST /repos/{owner}/{repo}/check-runs/{check_run_id}/rerequest" ], + rerequestSuite : [ "POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest" ], + setSuitesPreferences : [ "PATCH /repos/{owner}/{repo}/check-suites/preferences" ], + update : [ "PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}" ] + }, + codeScanning : { + deleteAnalysis : [ "DELETE /repos/{owner}/{repo}/code-scanning/analyses/{analysis_id}{?confirm_delete}" ], + getAlert : [ + "GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}", + {}, + {renamedParameters : {alert_id : "alert_number"}} + ], + getAnalysis : [ "GET /repos/{owner}/{repo}/code-scanning/analyses/{analysis_id}" ], + getSarif : [ "GET /repos/{owner}/{repo}/code-scanning/sarifs/{sarif_id}" ], + listAlertInstances : [ "GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances" ], + listAlertsForRepo : [ "GET /repos/{owner}/{repo}/code-scanning/alerts" ], + listAlertsInstances : [ + "GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances", + {}, + {renamed : [ "codeScanning", "listAlertInstances" ]} + ], + listRecentAnalyses : [ "GET /repos/{owner}/{repo}/code-scanning/analyses" ], + updateAlert : [ "PATCH /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}" ], + uploadSarif : [ "POST /repos/{owner}/{repo}/code-scanning/sarifs" ] + }, + codesOfConduct : + {getAllCodesOfConduct : [ "GET /codes_of_conduct" ], getConductCode : [ "GET /codes_of_conduct/{key}" ]}, + emojis : {get : [ "GET /emojis" ]}, + enterpriseAdmin : { + disableSelectedOrganizationGithubActionsEnterprise : + [ "DELETE /enterprises/{enterprise}/actions/permissions/organizations/{org_id}" ], + enableSelectedOrganizationGithubActionsEnterprise : + [ "PUT /enterprises/{enterprise}/actions/permissions/organizations/{org_id}" ], + getAllowedActionsEnterprise : [ "GET /enterprises/{enterprise}/actions/permissions/selected-actions" ], + getGithubActionsPermissionsEnterprise : [ "GET /enterprises/{enterprise}/actions/permissions" ], + listSelectedOrganizationsEnabledGithubActionsEnterprise : + [ "GET /enterprises/{enterprise}/actions/permissions/organizations" ], + setAllowedActionsEnterprise : [ "PUT /enterprises/{enterprise}/actions/permissions/selected-actions" ], + setGithubActionsPermissionsEnterprise : [ "PUT /enterprises/{enterprise}/actions/permissions" ], + setSelectedOrganizationsEnabledGithubActionsEnterprise : + [ "PUT /enterprises/{enterprise}/actions/permissions/organizations" ] + }, + gists : { + checkIsStarred : [ "GET /gists/{gist_id}/star" ], + create : [ "POST /gists" ], + createComment : [ "POST /gists/{gist_id}/comments" ], + delete : [ "DELETE /gists/{gist_id}" ], + deleteComment : [ "DELETE /gists/{gist_id}/comments/{comment_id}" ], + fork : [ "POST /gists/{gist_id}/forks" ], + get : [ "GET /gists/{gist_id}" ], + getComment : [ "GET /gists/{gist_id}/comments/{comment_id}" ], + getRevision : [ "GET /gists/{gist_id}/{sha}" ], + list : [ "GET /gists" ], + listComments : [ "GET /gists/{gist_id}/comments" ], + listCommits : [ "GET /gists/{gist_id}/commits" ], + listForUser : [ "GET /users/{username}/gists" ], + listForks : [ "GET /gists/{gist_id}/forks" ], + listPublic : [ "GET /gists/public" ], + listStarred : [ "GET /gists/starred" ], + star : [ "PUT /gists/{gist_id}/star" ], + unstar : [ "DELETE /gists/{gist_id}/star" ], + update : [ "PATCH /gists/{gist_id}" ], + updateComment : [ "PATCH /gists/{gist_id}/comments/{comment_id}" ] + }, + git : { + createBlob : [ "POST /repos/{owner}/{repo}/git/blobs" ], + createCommit : [ "POST /repos/{owner}/{repo}/git/commits" ], + createRef : [ "POST /repos/{owner}/{repo}/git/refs" ], + createTag : [ "POST /repos/{owner}/{repo}/git/tags" ], + createTree : [ "POST /repos/{owner}/{repo}/git/trees" ], + deleteRef : [ "DELETE /repos/{owner}/{repo}/git/refs/{ref}" ], + getBlob : [ "GET /repos/{owner}/{repo}/git/blobs/{file_sha}" ], + getCommit : [ "GET /repos/{owner}/{repo}/git/commits/{commit_sha}" ], + getRef : [ "GET /repos/{owner}/{repo}/git/ref/{ref}" ], + getTag : [ "GET /repos/{owner}/{repo}/git/tags/{tag_sha}" ], + getTree : [ "GET /repos/{owner}/{repo}/git/trees/{tree_sha}" ], + listMatchingRefs : [ "GET /repos/{owner}/{repo}/git/matching-refs/{ref}" ], + updateRef : [ "PATCH /repos/{owner}/{repo}/git/refs/{ref}" ] + }, + gitignore : + {getAllTemplates : [ "GET /gitignore/templates" ], getTemplate : [ "GET /gitignore/templates/{name}" ]}, + interactions : { + getRestrictionsForAuthenticatedUser : [ "GET /user/interaction-limits" ], + getRestrictionsForOrg : [ "GET /orgs/{org}/interaction-limits" ], + getRestrictionsForRepo : [ "GET /repos/{owner}/{repo}/interaction-limits" ], + getRestrictionsForYourPublicRepos : [ + "GET /user/interaction-limits", + {}, + {renamed : [ "interactions", "getRestrictionsForAuthenticatedUser" ]} + ], + removeRestrictionsForAuthenticatedUser : [ "DELETE /user/interaction-limits" ], + removeRestrictionsForOrg : [ "DELETE /orgs/{org}/interaction-limits" ], + removeRestrictionsForRepo : [ "DELETE /repos/{owner}/{repo}/interaction-limits" ], + removeRestrictionsForYourPublicRepos : [ + "DELETE /user/interaction-limits", + {}, + {renamed : [ "interactions", "removeRestrictionsForAuthenticatedUser" ]} + ], + setRestrictionsForAuthenticatedUser : [ "PUT /user/interaction-limits" ], + setRestrictionsForOrg : [ "PUT /orgs/{org}/interaction-limits" ], + setRestrictionsForRepo : [ "PUT /repos/{owner}/{repo}/interaction-limits" ], + setRestrictionsForYourPublicRepos : [ + "PUT /user/interaction-limits", + {}, + {renamed : [ "interactions", "setRestrictionsForAuthenticatedUser" ]} + ] + }, + issues : { + addAssignees : [ "POST /repos/{owner}/{repo}/issues/{issue_number}/assignees" ], + addLabels : [ "POST /repos/{owner}/{repo}/issues/{issue_number}/labels" ], + checkUserCanBeAssigned : [ "GET /repos/{owner}/{repo}/assignees/{assignee}" ], + create : [ "POST /repos/{owner}/{repo}/issues" ], + createComment : [ "POST /repos/{owner}/{repo}/issues/{issue_number}/comments" ], + createLabel : [ "POST /repos/{owner}/{repo}/labels" ], + createMilestone : [ "POST /repos/{owner}/{repo}/milestones" ], + deleteComment : [ "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}" ], + deleteLabel : [ "DELETE /repos/{owner}/{repo}/labels/{name}" ], + deleteMilestone : [ "DELETE /repos/{owner}/{repo}/milestones/{milestone_number}" ], + get : [ "GET /repos/{owner}/{repo}/issues/{issue_number}" ], + getComment : [ "GET /repos/{owner}/{repo}/issues/comments/{comment_id}" ], + getEvent : [ "GET /repos/{owner}/{repo}/issues/events/{event_id}" ], + getLabel : [ "GET /repos/{owner}/{repo}/labels/{name}" ], + getMilestone : [ "GET /repos/{owner}/{repo}/milestones/{milestone_number}" ], + list : [ "GET /issues" ], + listAssignees : [ "GET /repos/{owner}/{repo}/assignees" ], + listComments : [ "GET /repos/{owner}/{repo}/issues/{issue_number}/comments" ], + listCommentsForRepo : [ "GET /repos/{owner}/{repo}/issues/comments" ], + listEvents : [ "GET /repos/{owner}/{repo}/issues/{issue_number}/events" ], + listEventsForRepo : [ "GET /repos/{owner}/{repo}/issues/events" ], + listEventsForTimeline : [ "GET /repos/{owner}/{repo}/issues/{issue_number}/timeline" ], + listForAuthenticatedUser : [ "GET /user/issues" ], + listForOrg : [ "GET /orgs/{org}/issues" ], + listForRepo : [ "GET /repos/{owner}/{repo}/issues" ], + listLabelsForMilestone : [ "GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels" ], + listLabelsForRepo : [ "GET /repos/{owner}/{repo}/labels" ], + listLabelsOnIssue : [ "GET /repos/{owner}/{repo}/issues/{issue_number}/labels" ], + listMilestones : [ "GET /repos/{owner}/{repo}/milestones" ], + lock : [ "PUT /repos/{owner}/{repo}/issues/{issue_number}/lock" ], + removeAllLabels : [ "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels" ], + removeAssignees : [ "DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees" ], + removeLabel : [ "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}" ], + setLabels : [ "PUT /repos/{owner}/{repo}/issues/{issue_number}/labels" ], + unlock : [ "DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock" ], + update : [ "PATCH /repos/{owner}/{repo}/issues/{issue_number}" ], + updateComment : [ "PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}" ], + updateLabel : [ "PATCH /repos/{owner}/{repo}/labels/{name}" ], + updateMilestone : [ "PATCH /repos/{owner}/{repo}/milestones/{milestone_number}" ] + }, + licenses : { + get : [ "GET /licenses/{license}" ], + getAllCommonlyUsed : [ "GET /licenses" ], + getForRepo : [ "GET /repos/{owner}/{repo}/license" ] + }, + markdown : { + render : [ "POST /markdown" ], + renderRaw : [ "POST /markdown/raw", {headers : {"content-type" : "text/plain; charset=utf-8"}} ] + }, + meta : {get : [ "GET /meta" ], getOctocat : [ "GET /octocat" ], getZen : [ "GET /zen" ], root : [ "GET /" ]}, + migrations : { + cancelImport : [ "DELETE /repos/{owner}/{repo}/import" ], + deleteArchiveForAuthenticatedUser : [ "DELETE /user/migrations/{migration_id}/archive" ], + deleteArchiveForOrg : [ "DELETE /orgs/{org}/migrations/{migration_id}/archive" ], + downloadArchiveForOrg : [ "GET /orgs/{org}/migrations/{migration_id}/archive" ], + getArchiveForAuthenticatedUser : [ "GET /user/migrations/{migration_id}/archive" ], + getCommitAuthors : [ "GET /repos/{owner}/{repo}/import/authors" ], + getImportStatus : [ "GET /repos/{owner}/{repo}/import" ], + getLargeFiles : [ "GET /repos/{owner}/{repo}/import/large_files" ], + getStatusForAuthenticatedUser : [ "GET /user/migrations/{migration_id}" ], + getStatusForOrg : [ "GET /orgs/{org}/migrations/{migration_id}" ], + listForAuthenticatedUser : [ "GET /user/migrations" ], + listForOrg : [ "GET /orgs/{org}/migrations" ], + listReposForAuthenticatedUser : [ "GET /user/migrations/{migration_id}/repositories" ], + listReposForOrg : [ "GET /orgs/{org}/migrations/{migration_id}/repositories" ], + listReposForUser : [ + "GET /user/migrations/{migration_id}/repositories", + {}, + {renamed : [ "migrations", "listReposForAuthenticatedUser" ]} + ], + mapCommitAuthor : [ "PATCH /repos/{owner}/{repo}/import/authors/{author_id}" ], + setLfsPreference : [ "PATCH /repos/{owner}/{repo}/import/lfs" ], + startForAuthenticatedUser : [ "POST /user/migrations" ], + startForOrg : [ "POST /orgs/{org}/migrations" ], + startImport : [ "PUT /repos/{owner}/{repo}/import" ], + unlockRepoForAuthenticatedUser : [ "DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock" ], + unlockRepoForOrg : [ "DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock" ], + updateImport : [ "PATCH /repos/{owner}/{repo}/import" ] + }, + orgs : { + blockUser : [ "PUT /orgs/{org}/blocks/{username}" ], + cancelInvitation : [ "DELETE /orgs/{org}/invitations/{invitation_id}" ], + checkBlockedUser : [ "GET /orgs/{org}/blocks/{username}" ], + checkMembershipForUser : [ "GET /orgs/{org}/members/{username}" ], + checkPublicMembershipForUser : [ "GET /orgs/{org}/public_members/{username}" ], + convertMemberToOutsideCollaborator : [ "PUT /orgs/{org}/outside_collaborators/{username}" ], + createInvitation : [ "POST /orgs/{org}/invitations" ], + createWebhook : [ "POST /orgs/{org}/hooks" ], + deleteWebhook : [ "DELETE /orgs/{org}/hooks/{hook_id}" ], + get : [ "GET /orgs/{org}" ], + getMembershipForAuthenticatedUser : [ "GET /user/memberships/orgs/{org}" ], + getMembershipForUser : [ "GET /orgs/{org}/memberships/{username}" ], + getWebhook : [ "GET /orgs/{org}/hooks/{hook_id}" ], + getWebhookConfigForOrg : [ "GET /orgs/{org}/hooks/{hook_id}/config" ], + getWebhookDelivery : [ "GET /orgs/{org}/hooks/{hook_id}/deliveries/{delivery_id}" ], + list : [ "GET /organizations" ], + listAppInstallations : [ "GET /orgs/{org}/installations" ], + listBlockedUsers : [ "GET /orgs/{org}/blocks" ], + listFailedInvitations : [ "GET /orgs/{org}/failed_invitations" ], + listForAuthenticatedUser : [ "GET /user/orgs" ], + listForUser : [ "GET /users/{username}/orgs" ], + listInvitationTeams : [ "GET /orgs/{org}/invitations/{invitation_id}/teams" ], + listMembers : [ "GET /orgs/{org}/members" ], + listMembershipsForAuthenticatedUser : [ "GET /user/memberships/orgs" ], + listOutsideCollaborators : [ "GET /orgs/{org}/outside_collaborators" ], + listPendingInvitations : [ "GET /orgs/{org}/invitations" ], + listPublicMembers : [ "GET /orgs/{org}/public_members" ], + listWebhookDeliveries : [ "GET /orgs/{org}/hooks/{hook_id}/deliveries" ], + listWebhooks : [ "GET /orgs/{org}/hooks" ], + pingWebhook : [ "POST /orgs/{org}/hooks/{hook_id}/pings" ], + redeliverWebhookDelivery : [ "POST /orgs/{org}/hooks/{hook_id}/deliveries/{delivery_id}/attempts" ], + removeMember : [ "DELETE /orgs/{org}/members/{username}" ], + removeMembershipForUser : [ "DELETE /orgs/{org}/memberships/{username}" ], + removeOutsideCollaborator : [ "DELETE /orgs/{org}/outside_collaborators/{username}" ], + removePublicMembershipForAuthenticatedUser : [ "DELETE /orgs/{org}/public_members/{username}" ], + setMembershipForUser : [ "PUT /orgs/{org}/memberships/{username}" ], + setPublicMembershipForAuthenticatedUser : [ "PUT /orgs/{org}/public_members/{username}" ], + unblockUser : [ "DELETE /orgs/{org}/blocks/{username}" ], + update : [ "PATCH /orgs/{org}" ], + updateMembershipForAuthenticatedUser : [ "PATCH /user/memberships/orgs/{org}" ], + updateWebhook : [ "PATCH /orgs/{org}/hooks/{hook_id}" ], + updateWebhookConfigForOrg : [ "PATCH /orgs/{org}/hooks/{hook_id}/config" ] + }, + packages : { + deletePackageForAuthenticatedUser : [ "DELETE /user/packages/{package_type}/{package_name}" ], + deletePackageForOrg : [ "DELETE /orgs/{org}/packages/{package_type}/{package_name}" ], + deletePackageForUser : [ "DELETE /users/{username}/packages/{package_type}/{package_name}" ], + deletePackageVersionForAuthenticatedUser : + [ "DELETE /user/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + deletePackageVersionForOrg : + [ "DELETE /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + deletePackageVersionForUser : + [ "DELETE /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + getAllPackageVersionsForAPackageOwnedByAnOrg : [ + "GET /orgs/{org}/packages/{package_type}/{package_name}/versions", + {}, + {renamed : [ "packages", "getAllPackageVersionsForPackageOwnedByOrg" ]} + ], + getAllPackageVersionsForAPackageOwnedByTheAuthenticatedUser : [ + "GET /user/packages/{package_type}/{package_name}/versions", + {}, + {renamed : [ "packages", "getAllPackageVersionsForPackageOwnedByAuthenticatedUser" ]} + ], + getAllPackageVersionsForPackageOwnedByAuthenticatedUser : + [ "GET /user/packages/{package_type}/{package_name}/versions" ], + getAllPackageVersionsForPackageOwnedByOrg : + [ "GET /orgs/{org}/packages/{package_type}/{package_name}/versions" ], + getAllPackageVersionsForPackageOwnedByUser : + [ "GET /users/{username}/packages/{package_type}/{package_name}/versions" ], + getPackageForAuthenticatedUser : [ "GET /user/packages/{package_type}/{package_name}" ], + getPackageForOrganization : [ "GET /orgs/{org}/packages/{package_type}/{package_name}" ], + getPackageForUser : [ "GET /users/{username}/packages/{package_type}/{package_name}" ], + getPackageVersionForAuthenticatedUser : + [ "GET /user/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + getPackageVersionForOrganization : + [ "GET /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + getPackageVersionForUser : + [ "GET /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}" ], + listPackagesForAuthenticatedUser : [ "GET /user/packages" ], + listPackagesForOrganization : [ "GET /orgs/{org}/packages" ], + listPackagesForUser : [ "GET /users/{username}/packages" ], + restorePackageForAuthenticatedUser : [ "POST /user/packages/{package_type}/{package_name}/restore{?token}" ], + restorePackageForOrg : [ "POST /orgs/{org}/packages/{package_type}/{package_name}/restore{?token}" ], + restorePackageForUser : [ "POST /users/{username}/packages/{package_type}/{package_name}/restore{?token}" ], + restorePackageVersionForAuthenticatedUser : + [ "POST /user/packages/{package_type}/{package_name}/versions/{package_version_id}/restore" ], + restorePackageVersionForOrg : + [ "POST /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}/restore" ], + restorePackageVersionForUser : + [ "POST /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}/restore" ] + }, + projects : { + addCollaborator : [ "PUT /projects/{project_id}/collaborators/{username}" ], + createCard : [ "POST /projects/columns/{column_id}/cards" ], + createColumn : [ "POST /projects/{project_id}/columns" ], + createForAuthenticatedUser : [ "POST /user/projects" ], + createForOrg : [ "POST /orgs/{org}/projects" ], + createForRepo : [ "POST /repos/{owner}/{repo}/projects" ], + delete : [ "DELETE /projects/{project_id}" ], + deleteCard : [ "DELETE /projects/columns/cards/{card_id}" ], + deleteColumn : [ "DELETE /projects/columns/{column_id}" ], + get : [ "GET /projects/{project_id}" ], + getCard : [ "GET /projects/columns/cards/{card_id}" ], + getColumn : [ "GET /projects/columns/{column_id}" ], + getPermissionForUser : [ "GET /projects/{project_id}/collaborators/{username}/permission" ], + listCards : [ "GET /projects/columns/{column_id}/cards" ], + listCollaborators : [ "GET /projects/{project_id}/collaborators" ], + listColumns : [ "GET /projects/{project_id}/columns" ], + listForOrg : [ "GET /orgs/{org}/projects" ], + listForRepo : [ "GET /repos/{owner}/{repo}/projects" ], + listForUser : [ "GET /users/{username}/projects" ], + moveCard : [ "POST /projects/columns/cards/{card_id}/moves" ], + moveColumn : [ "POST /projects/columns/{column_id}/moves" ], + removeCollaborator : [ "DELETE /projects/{project_id}/collaborators/{username}" ], + update : [ "PATCH /projects/{project_id}" ], + updateCard : [ "PATCH /projects/columns/cards/{card_id}" ], + updateColumn : [ "PATCH /projects/columns/{column_id}" ] + }, + pulls : { + checkIfMerged : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/merge" ], + create : [ "POST /repos/{owner}/{repo}/pulls" ], + createReplyForReviewComment : + [ "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies" ], + createReview : [ "POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews" ], + createReviewComment : [ "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments" ], + deletePendingReview : [ "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}" ], + deleteReviewComment : [ "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}" ], + dismissReview : [ "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals" ], + get : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}" ], + getReview : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}" ], + getReviewComment : [ "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}" ], + list : [ "GET /repos/{owner}/{repo}/pulls" ], + listCommentsForReview : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments" ], + listCommits : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/commits" ], + listFiles : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/files" ], + listRequestedReviewers : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers" ], + listReviewComments : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/comments" ], + listReviewCommentsForRepo : [ "GET /repos/{owner}/{repo}/pulls/comments" ], + listReviews : [ "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews" ], + merge : [ "PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge" ], + removeRequestedReviewers : [ "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers" ], + requestReviewers : [ "POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers" ], + submitReview : [ "POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events" ], + update : [ "PATCH /repos/{owner}/{repo}/pulls/{pull_number}" ], + updateBranch : [ "PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch" ], + updateReview : [ "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}" ], + updateReviewComment : [ "PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}" ] + }, + rateLimit : {get : [ "GET /rate_limit" ]}, + reactions : { + createForCommitComment : [ "POST /repos/{owner}/{repo}/comments/{comment_id}/reactions" ], + createForIssue : [ "POST /repos/{owner}/{repo}/issues/{issue_number}/reactions" ], + createForIssueComment : [ "POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions" ], + createForPullRequestReviewComment : [ "POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions" ], + createForRelease : [ "POST /repos/{owner}/{repo}/releases/{release_id}/reactions" ], + createForTeamDiscussionCommentInOrg : [ + "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions" + ], + createForTeamDiscussionInOrg : + [ "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions" ], + deleteForCommitComment : [ "DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}" ], + deleteForIssue : [ "DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}" ], + deleteForIssueComment : [ "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}" ], + deleteForPullRequestComment : + [ "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}" ], + deleteForTeamDiscussion : + [ "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}" ], + deleteForTeamDiscussionComment : [ + "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}" + ], + listForCommitComment : [ "GET /repos/{owner}/{repo}/comments/{comment_id}/reactions" ], + listForIssue : [ "GET /repos/{owner}/{repo}/issues/{issue_number}/reactions" ], + listForIssueComment : [ "GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions" ], + listForPullRequestReviewComment : [ "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions" ], + listForTeamDiscussionCommentInOrg : + [ "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions" ], + listForTeamDiscussionInOrg : [ "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions" ] + }, + repos : { + acceptInvitation : [ + "PATCH /user/repository_invitations/{invitation_id}", + {}, + {renamed : [ "repos", "acceptInvitationForAuthenticatedUser" ]} + ], + acceptInvitationForAuthenticatedUser : [ "PATCH /user/repository_invitations/{invitation_id}" ], + addAppAccessRestrictions : + [ "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {mapToData : "apps"} ], + addCollaborator : [ "PUT /repos/{owner}/{repo}/collaborators/{username}" ], + addStatusCheckContexts : [ + "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", + {}, + {mapToData : "contexts"} + ], + addTeamAccessRestrictions : + [ "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, {mapToData : "teams"} ], + addUserAccessRestrictions : + [ "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, {mapToData : "users"} ], + checkCollaborator : [ "GET /repos/{owner}/{repo}/collaborators/{username}" ], + checkVulnerabilityAlerts : [ "GET /repos/{owner}/{repo}/vulnerability-alerts" ], + compareCommits : [ "GET /repos/{owner}/{repo}/compare/{base}...{head}" ], + compareCommitsWithBasehead : [ "GET /repos/{owner}/{repo}/compare/{basehead}" ], + createAutolink : [ "POST /repos/{owner}/{repo}/autolinks" ], + createCommitComment : [ "POST /repos/{owner}/{repo}/commits/{commit_sha}/comments" ], + createCommitSignatureProtection : + [ "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures" ], + createCommitStatus : [ "POST /repos/{owner}/{repo}/statuses/{sha}" ], + createDeployKey : [ "POST /repos/{owner}/{repo}/keys" ], + createDeployment : [ "POST /repos/{owner}/{repo}/deployments" ], + createDeploymentStatus : [ "POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses" ], + createDispatchEvent : [ "POST /repos/{owner}/{repo}/dispatches" ], + createForAuthenticatedUser : [ "POST /user/repos" ], + createFork : [ "POST /repos/{owner}/{repo}/forks" ], + createInOrg : [ "POST /orgs/{org}/repos" ], + createOrUpdateEnvironment : [ "PUT /repos/{owner}/{repo}/environments/{environment_name}" ], + createOrUpdateFileContents : [ "PUT /repos/{owner}/{repo}/contents/{path}" ], + createPagesSite : [ "POST /repos/{owner}/{repo}/pages" ], + createRelease : [ "POST /repos/{owner}/{repo}/releases" ], + createUsingTemplate : [ "POST /repos/{template_owner}/{template_repo}/generate" ], + createWebhook : [ "POST /repos/{owner}/{repo}/hooks" ], + declineInvitation : [ + "DELETE /user/repository_invitations/{invitation_id}", + {}, + {renamed : [ "repos", "declineInvitationForAuthenticatedUser" ]} + ], + declineInvitationForAuthenticatedUser : [ "DELETE /user/repository_invitations/{invitation_id}" ], + delete : [ "DELETE /repos/{owner}/{repo}" ], + deleteAccessRestrictions : [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions" ], + deleteAdminBranchProtection : [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins" ], + deleteAnEnvironment : [ "DELETE /repos/{owner}/{repo}/environments/{environment_name}" ], + deleteAutolink : [ "DELETE /repos/{owner}/{repo}/autolinks/{autolink_id}" ], + deleteBranchProtection : [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection" ], + deleteCommitComment : [ "DELETE /repos/{owner}/{repo}/comments/{comment_id}" ], + deleteCommitSignatureProtection : + [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures" ], + deleteDeployKey : [ "DELETE /repos/{owner}/{repo}/keys/{key_id}" ], + deleteDeployment : [ "DELETE /repos/{owner}/{repo}/deployments/{deployment_id}" ], + deleteFile : [ "DELETE /repos/{owner}/{repo}/contents/{path}" ], + deleteInvitation : [ "DELETE /repos/{owner}/{repo}/invitations/{invitation_id}" ], + deletePagesSite : [ "DELETE /repos/{owner}/{repo}/pages" ], + deletePullRequestReviewProtection : + [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews" ], + deleteRelease : [ "DELETE /repos/{owner}/{repo}/releases/{release_id}" ], + deleteReleaseAsset : [ "DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}" ], + deleteWebhook : [ "DELETE /repos/{owner}/{repo}/hooks/{hook_id}" ], + disableAutomatedSecurityFixes : [ "DELETE /repos/{owner}/{repo}/automated-security-fixes" ], + disableLfsForRepo : [ "DELETE /repos/{owner}/{repo}/lfs" ], + disableVulnerabilityAlerts : [ "DELETE /repos/{owner}/{repo}/vulnerability-alerts" ], + downloadArchive : + [ "GET /repos/{owner}/{repo}/zipball/{ref}", {}, {renamed : [ "repos", "downloadZipballArchive" ]} ], + downloadTarballArchive : [ "GET /repos/{owner}/{repo}/tarball/{ref}" ], + downloadZipballArchive : [ "GET /repos/{owner}/{repo}/zipball/{ref}" ], + enableAutomatedSecurityFixes : [ "PUT /repos/{owner}/{repo}/automated-security-fixes" ], + enableLfsForRepo : [ "PUT /repos/{owner}/{repo}/lfs" ], + enableVulnerabilityAlerts : [ "PUT /repos/{owner}/{repo}/vulnerability-alerts" ], + generateReleaseNotes : [ "POST /repos/{owner}/{repo}/releases/generate-notes" ], + get : [ "GET /repos/{owner}/{repo}" ], + getAccessRestrictions : [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions" ], + getAdminBranchProtection : [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins" ], + getAllEnvironments : [ "GET /repos/{owner}/{repo}/environments" ], + getAllStatusCheckContexts : + [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts" ], + getAllTopics : [ "GET /repos/{owner}/{repo}/topics", {mediaType : {previews : [ "mercy" ]}} ], + getAppsWithAccessToProtectedBranch : + [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps" ], + getAutolink : [ "GET /repos/{owner}/{repo}/autolinks/{autolink_id}" ], + getBranch : [ "GET /repos/{owner}/{repo}/branches/{branch}" ], + getBranchProtection : [ "GET /repos/{owner}/{repo}/branches/{branch}/protection" ], + getClones : [ "GET /repos/{owner}/{repo}/traffic/clones" ], + getCodeFrequencyStats : [ "GET /repos/{owner}/{repo}/stats/code_frequency" ], + getCollaboratorPermissionLevel : [ "GET /repos/{owner}/{repo}/collaborators/{username}/permission" ], + getCombinedStatusForRef : [ "GET /repos/{owner}/{repo}/commits/{ref}/status" ], + getCommit : [ "GET /repos/{owner}/{repo}/commits/{ref}" ], + getCommitActivityStats : [ "GET /repos/{owner}/{repo}/stats/commit_activity" ], + getCommitComment : [ "GET /repos/{owner}/{repo}/comments/{comment_id}" ], + getCommitSignatureProtection : [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures" ], + getCommunityProfileMetrics : [ "GET /repos/{owner}/{repo}/community/profile" ], + getContent : [ "GET /repos/{owner}/{repo}/contents/{path}" ], + getContributorsStats : [ "GET /repos/{owner}/{repo}/stats/contributors" ], + getDeployKey : [ "GET /repos/{owner}/{repo}/keys/{key_id}" ], + getDeployment : [ "GET /repos/{owner}/{repo}/deployments/{deployment_id}" ], + getDeploymentStatus : [ "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}" ], + getEnvironment : [ "GET /repos/{owner}/{repo}/environments/{environment_name}" ], + getLatestPagesBuild : [ "GET /repos/{owner}/{repo}/pages/builds/latest" ], + getLatestRelease : [ "GET /repos/{owner}/{repo}/releases/latest" ], + getPages : [ "GET /repos/{owner}/{repo}/pages" ], + getPagesBuild : [ "GET /repos/{owner}/{repo}/pages/builds/{build_id}" ], + getPagesHealthCheck : [ "GET /repos/{owner}/{repo}/pages/health" ], + getParticipationStats : [ "GET /repos/{owner}/{repo}/stats/participation" ], + getPullRequestReviewProtection : + [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews" ], + getPunchCardStats : [ "GET /repos/{owner}/{repo}/stats/punch_card" ], + getReadme : [ "GET /repos/{owner}/{repo}/readme" ], + getReadmeInDirectory : [ "GET /repos/{owner}/{repo}/readme/{dir}" ], + getRelease : [ "GET /repos/{owner}/{repo}/releases/{release_id}" ], + getReleaseAsset : [ "GET /repos/{owner}/{repo}/releases/assets/{asset_id}" ], + getReleaseByTag : [ "GET /repos/{owner}/{repo}/releases/tags/{tag}" ], + getStatusChecksProtection : [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks" ], + getTeamsWithAccessToProtectedBranch : + [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams" ], + getTopPaths : [ "GET /repos/{owner}/{repo}/traffic/popular/paths" ], + getTopReferrers : [ "GET /repos/{owner}/{repo}/traffic/popular/referrers" ], + getUsersWithAccessToProtectedBranch : + [ "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users" ], + getViews : [ "GET /repos/{owner}/{repo}/traffic/views" ], + getWebhook : [ "GET /repos/{owner}/{repo}/hooks/{hook_id}" ], + getWebhookConfigForRepo : [ "GET /repos/{owner}/{repo}/hooks/{hook_id}/config" ], + getWebhookDelivery : [ "GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries/{delivery_id}" ], + listAutolinks : [ "GET /repos/{owner}/{repo}/autolinks" ], + listBranches : [ "GET /repos/{owner}/{repo}/branches" ], + listBranchesForHeadCommit : [ "GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head" ], + listCollaborators : [ "GET /repos/{owner}/{repo}/collaborators" ], + listCommentsForCommit : [ "GET /repos/{owner}/{repo}/commits/{commit_sha}/comments" ], + listCommitCommentsForRepo : [ "GET /repos/{owner}/{repo}/comments" ], + listCommitStatusesForRef : [ "GET /repos/{owner}/{repo}/commits/{ref}/statuses" ], + listCommits : [ "GET /repos/{owner}/{repo}/commits" ], + listContributors : [ "GET /repos/{owner}/{repo}/contributors" ], + listDeployKeys : [ "GET /repos/{owner}/{repo}/keys" ], + listDeploymentStatuses : [ "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses" ], + listDeployments : [ "GET /repos/{owner}/{repo}/deployments" ], + listForAuthenticatedUser : [ "GET /user/repos" ], + listForOrg : [ "GET /orgs/{org}/repos" ], + listForUser : [ "GET /users/{username}/repos" ], + listForks : [ "GET /repos/{owner}/{repo}/forks" ], + listInvitations : [ "GET /repos/{owner}/{repo}/invitations" ], + listInvitationsForAuthenticatedUser : [ "GET /user/repository_invitations" ], + listLanguages : [ "GET /repos/{owner}/{repo}/languages" ], + listPagesBuilds : [ "GET /repos/{owner}/{repo}/pages/builds" ], + listPublic : [ "GET /repositories" ], + listPullRequestsAssociatedWithCommit : [ "GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls" ], + listReleaseAssets : [ "GET /repos/{owner}/{repo}/releases/{release_id}/assets" ], + listReleases : [ "GET /repos/{owner}/{repo}/releases" ], + listTags : [ "GET /repos/{owner}/{repo}/tags" ], + listTeams : [ "GET /repos/{owner}/{repo}/teams" ], + listWebhookDeliveries : [ "GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries" ], + listWebhooks : [ "GET /repos/{owner}/{repo}/hooks" ], + merge : [ "POST /repos/{owner}/{repo}/merges" ], + mergeUpstream : [ "POST /repos/{owner}/{repo}/merge-upstream" ], + pingWebhook : [ "POST /repos/{owner}/{repo}/hooks/{hook_id}/pings" ], + redeliverWebhookDelivery : [ "POST /repos/{owner}/{repo}/hooks/{hook_id}/deliveries/{delivery_id}/attempts" ], + removeAppAccessRestrictions : + [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {mapToData : "apps"} ], + removeCollaborator : [ "DELETE /repos/{owner}/{repo}/collaborators/{username}" ], + removeStatusCheckContexts : [ + "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", + {}, + {mapToData : "contexts"} + ], + removeStatusCheckProtection : + [ "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks" ], + removeTeamAccessRestrictions : [ + "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", + {}, + {mapToData : "teams"} + ], + removeUserAccessRestrictions : [ + "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", + {}, + {mapToData : "users"} + ], + renameBranch : [ "POST /repos/{owner}/{repo}/branches/{branch}/rename" ], + replaceAllTopics : [ "PUT /repos/{owner}/{repo}/topics", {mediaType : {previews : [ "mercy" ]}} ], + requestPagesBuild : [ "POST /repos/{owner}/{repo}/pages/builds" ], + setAdminBranchProtection : [ "POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins" ], + setAppAccessRestrictions : + [ "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {mapToData : "apps"} ], + setStatusCheckContexts : [ + "PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", + {}, + {mapToData : "contexts"} + ], + setTeamAccessRestrictions : + [ "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, {mapToData : "teams"} ], + setUserAccessRestrictions : + [ "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, {mapToData : "users"} ], + testPushWebhook : [ "POST /repos/{owner}/{repo}/hooks/{hook_id}/tests" ], + transfer : [ "POST /repos/{owner}/{repo}/transfer" ], + update : [ "PATCH /repos/{owner}/{repo}" ], + updateBranchProtection : [ "PUT /repos/{owner}/{repo}/branches/{branch}/protection" ], + updateCommitComment : [ "PATCH /repos/{owner}/{repo}/comments/{comment_id}" ], + updateInformationAboutPagesSite : [ "PUT /repos/{owner}/{repo}/pages" ], + updateInvitation : [ "PATCH /repos/{owner}/{repo}/invitations/{invitation_id}" ], + updatePullRequestReviewProtection : + [ "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews" ], + updateRelease : [ "PATCH /repos/{owner}/{repo}/releases/{release_id}" ], + updateReleaseAsset : [ "PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}" ], + updateStatusCheckPotection : [ + "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks", + {}, + {renamed : [ "repos", "updateStatusCheckProtection" ]} + ], + updateStatusCheckProtection : + [ "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks" ], + updateWebhook : [ "PATCH /repos/{owner}/{repo}/hooks/{hook_id}" ], + updateWebhookConfigForRepo : [ "PATCH /repos/{owner}/{repo}/hooks/{hook_id}/config" ], + uploadReleaseAsset : [ + "POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}", + {baseUrl : "https://uploads.github.com"} + ] + }, + search : { + code : [ "GET /search/code" ], + commits : [ "GET /search/commits" ], + issuesAndPullRequests : [ "GET /search/issues" ], + labels : [ "GET /search/labels" ], + repos : [ "GET /search/repositories" ], + topics : [ "GET /search/topics", {mediaType : {previews : [ "mercy" ]}} ], + users : [ "GET /search/users" ] + }, + secretScanning : { + getAlert : [ "GET /repos/{owner}/{repo}/secret-scanning/alerts/{alert_number}" ], + listAlertsForOrg : [ "GET /orgs/{org}/secret-scanning/alerts" ], + listAlertsForRepo : [ "GET /repos/{owner}/{repo}/secret-scanning/alerts" ], + updateAlert : [ "PATCH /repos/{owner}/{repo}/secret-scanning/alerts/{alert_number}" ] + }, + teams : { + addOrUpdateMembershipForUserInOrg : [ "PUT /orgs/{org}/teams/{team_slug}/memberships/{username}" ], + addOrUpdateProjectPermissionsInOrg : [ "PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}" ], + addOrUpdateRepoPermissionsInOrg : [ "PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}" ], + checkPermissionsForProjectInOrg : [ "GET /orgs/{org}/teams/{team_slug}/projects/{project_id}" ], + checkPermissionsForRepoInOrg : [ "GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}" ], + create : [ "POST /orgs/{org}/teams" ], + createDiscussionCommentInOrg : + [ "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments" ], + createDiscussionInOrg : [ "POST /orgs/{org}/teams/{team_slug}/discussions" ], + deleteDiscussionCommentInOrg : + [ "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}" ], + deleteDiscussionInOrg : [ "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}" ], + deleteInOrg : [ "DELETE /orgs/{org}/teams/{team_slug}" ], + getByName : [ "GET /orgs/{org}/teams/{team_slug}" ], + getDiscussionCommentInOrg : + [ "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}" ], + getDiscussionInOrg : [ "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}" ], + getMembershipForUserInOrg : [ "GET /orgs/{org}/teams/{team_slug}/memberships/{username}" ], + list : [ "GET /orgs/{org}/teams" ], + listChildInOrg : [ "GET /orgs/{org}/teams/{team_slug}/teams" ], + listDiscussionCommentsInOrg : [ "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments" ], + listDiscussionsInOrg : [ "GET /orgs/{org}/teams/{team_slug}/discussions" ], + listForAuthenticatedUser : [ "GET /user/teams" ], + listMembersInOrg : [ "GET /orgs/{org}/teams/{team_slug}/members" ], + listPendingInvitationsInOrg : [ "GET /orgs/{org}/teams/{team_slug}/invitations" ], + listProjectsInOrg : [ "GET /orgs/{org}/teams/{team_slug}/projects" ], + listReposInOrg : [ "GET /orgs/{org}/teams/{team_slug}/repos" ], + removeMembershipForUserInOrg : [ "DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}" ], + removeProjectInOrg : [ "DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}" ], + removeRepoInOrg : [ "DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}" ], + updateDiscussionCommentInOrg : + [ "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}" ], + updateDiscussionInOrg : [ "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}" ], + updateInOrg : [ "PATCH /orgs/{org}/teams/{team_slug}" ] + }, + users : { + addEmailForAuthenticated : [ "POST /user/emails", {}, {renamed : [ "users", "addEmailForAuthenticatedUser" ]} ], + addEmailForAuthenticatedUser : [ "POST /user/emails" ], + block : [ "PUT /user/blocks/{username}" ], + checkBlocked : [ "GET /user/blocks/{username}" ], + checkFollowingForUser : [ "GET /users/{username}/following/{target_user}" ], + checkPersonIsFollowedByAuthenticated : [ "GET /user/following/{username}" ], + createGpgKeyForAuthenticated : + [ "POST /user/gpg_keys", {}, {renamed : [ "users", "createGpgKeyForAuthenticatedUser" ]} ], + createGpgKeyForAuthenticatedUser : [ "POST /user/gpg_keys" ], + createPublicSshKeyForAuthenticated : + [ "POST /user/keys", {}, {renamed : [ "users", "createPublicSshKeyForAuthenticatedUser" ]} ], + createPublicSshKeyForAuthenticatedUser : [ "POST /user/keys" ], + deleteEmailForAuthenticated : + [ "DELETE /user/emails", {}, {renamed : [ "users", "deleteEmailForAuthenticatedUser" ]} ], + deleteEmailForAuthenticatedUser : [ "DELETE /user/emails" ], + deleteGpgKeyForAuthenticated : + [ "DELETE /user/gpg_keys/{gpg_key_id}", {}, {renamed : [ "users", "deleteGpgKeyForAuthenticatedUser" ]} ], + deleteGpgKeyForAuthenticatedUser : [ "DELETE /user/gpg_keys/{gpg_key_id}" ], + deletePublicSshKeyForAuthenticated : + [ "DELETE /user/keys/{key_id}", {}, {renamed : [ "users", "deletePublicSshKeyForAuthenticatedUser" ]} ], + deletePublicSshKeyForAuthenticatedUser : [ "DELETE /user/keys/{key_id}" ], + follow : [ "PUT /user/following/{username}" ], + getAuthenticated : [ "GET /user" ], + getByUsername : [ "GET /users/{username}" ], + getContextForUser : [ "GET /users/{username}/hovercard" ], + getGpgKeyForAuthenticated : + [ "GET /user/gpg_keys/{gpg_key_id}", {}, {renamed : [ "users", "getGpgKeyForAuthenticatedUser" ]} ], + getGpgKeyForAuthenticatedUser : [ "GET /user/gpg_keys/{gpg_key_id}" ], + getPublicSshKeyForAuthenticated : + [ "GET /user/keys/{key_id}", {}, {renamed : [ "users", "getPublicSshKeyForAuthenticatedUser" ]} ], + getPublicSshKeyForAuthenticatedUser : [ "GET /user/keys/{key_id}" ], + list : [ "GET /users" ], + listBlockedByAuthenticated : + [ "GET /user/blocks", {}, {renamed : [ "users", "listBlockedByAuthenticatedUser" ]} ], + listBlockedByAuthenticatedUser : [ "GET /user/blocks" ], + listEmailsForAuthenticated : + [ "GET /user/emails", {}, {renamed : [ "users", "listEmailsForAuthenticatedUser" ]} ], + listEmailsForAuthenticatedUser : [ "GET /user/emails" ], + listFollowedByAuthenticated : + [ "GET /user/following", {}, {renamed : [ "users", "listFollowedByAuthenticatedUser" ]} ], + listFollowedByAuthenticatedUser : [ "GET /user/following" ], + listFollowersForAuthenticatedUser : [ "GET /user/followers" ], + listFollowersForUser : [ "GET /users/{username}/followers" ], + listFollowingForUser : [ "GET /users/{username}/following" ], + listGpgKeysForAuthenticated : + [ "GET /user/gpg_keys", {}, {renamed : [ "users", "listGpgKeysForAuthenticatedUser" ]} ], + listGpgKeysForAuthenticatedUser : [ "GET /user/gpg_keys" ], + listGpgKeysForUser : [ "GET /users/{username}/gpg_keys" ], + listPublicEmailsForAuthenticated : + [ "GET /user/public_emails", {}, {renamed : [ "users", "listPublicEmailsForAuthenticatedUser" ]} ], + listPublicEmailsForAuthenticatedUser : [ "GET /user/public_emails" ], + listPublicKeysForUser : [ "GET /users/{username}/keys" ], + listPublicSshKeysForAuthenticated : + [ "GET /user/keys", {}, {renamed : [ "users", "listPublicSshKeysForAuthenticatedUser" ]} ], + listPublicSshKeysForAuthenticatedUser : [ "GET /user/keys" ], + setPrimaryEmailVisibilityForAuthenticated : [ + "PATCH /user/email/visibility", + {}, + {renamed : [ "users", "setPrimaryEmailVisibilityForAuthenticatedUser" ]} + ], + setPrimaryEmailVisibilityForAuthenticatedUser : [ "PATCH /user/email/visibility" ], + unblock : [ "DELETE /user/blocks/{username}" ], + unfollow : [ "DELETE /user/following/{username}" ], + updateAuthenticated : [ "PATCH /user" ] + } + }; -const VERSION = "6.0.12"; + const VERSION = "5.13.0"; -const userAgent = `octokit-endpoint.js/${VERSION} ${universalUserAgent.getUserAgent()}`; // DEFAULTS has all properties set that EndpointOptions has, except url. -// So we use RequestParameters and add method as additional required property. + function endpointsToMethods(octokit, endpointsMap) { + const newMethods = {}; -const DEFAULTS = { - method: "GET", - baseUrl: "https://api.github.com", - headers: { - accept: "application/vnd.github.v3+json", - "user-agent": userAgent - }, - mediaType: { - format: "", - previews: [] - } -}; + for (const [scope, endpoints] of Object.entries(endpointsMap)) { + for (const [methodName, endpoint] of Object.entries(endpoints)) { + const [route, defaults, decorations] = endpoint; + const [method, url] = route.split(/ /); + const endpointDefaults = Object.assign({method, url}, defaults); -const endpoint = withDefaults(null, DEFAULTS); + if (!newMethods[scope]) { + newMethods[scope] = {}; + } -exports.endpoint = endpoint; -//# sourceMappingURL=index.js.map + const scopeMethods = newMethods[scope]; + if (decorations) { + scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations); + continue; + } -/***/ }), + scopeMethods[methodName] = octokit.request.defaults(endpointDefaults); + } + } -/***/ 8467: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + return newMethods; + } -"use strict"; + function decorate(octokit, scope, methodName, defaults, decorations) { + const requestWithDefaults = octokit.request.defaults(defaults); + /* istanbul ignore next */ + function withDecorations(...args) { + // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 + let options = + requestWithDefaults.endpoint.merge(...args); // There are currently no other decorations than `.mapToData` -Object.defineProperty(exports, "__esModule", ({ value: true })); + if (decorations.mapToData) { + options = + Object.assign({}, options, {data : options[decorations.mapToData], [decorations.mapToData] : undefined}); + return requestWithDefaults(options); + } -var request = __nccwpck_require__(6234); -var universalUserAgent = __nccwpck_require__(5030); + if (decorations.renamed) { + const [newScope, newMethodName] = decorations.renamed; + octokit.log.warn( + `octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`); + } -const VERSION = "4.8.0"; + if (decorations.deprecated) { + octokit.log.warn(decorations.deprecated); + } -function _buildMessageForResponseErrors(data) { - return `Request failed due to following response errors:\n` + data.errors.map(e => ` - ${e.message}`).join("\n"); -} + if (decorations.renamedParameters) { + // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 + const options = requestWithDefaults.endpoint.merge(...args); -class GraphqlResponseError extends Error { - constructor(request, headers, response) { - super(_buildMessageForResponseErrors(response)); - this.request = request; - this.headers = headers; - this.response = response; - this.name = "GraphqlResponseError"; // Expose the errors and response data in their shorthand properties. + for (const [name, alias] of Object.entries(decorations.renamedParameters)) { + if (name in options) { + octokit.log.warn( + `"${name}" parameter is deprecated for "octokit.${scope}.${methodName}()". Use "${alias}" instead`); - this.errors = response.errors; - this.data = response.data; // Maintains proper stack trace (only available on V8) + if (!(alias in options)) { + options[alias] = options[name]; + } - /* istanbul ignore next */ + delete options[name]; + } + } - if (Error.captureStackTrace) { - Error.captureStackTrace(this, this.constructor); - } - } + return requestWithDefaults(options); + } // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 -} + return requestWithDefaults(...args); + } -const NON_VARIABLE_OPTIONS = ["method", "baseUrl", "url", "headers", "request", "query", "mediaType"]; -const FORBIDDEN_VARIABLE_OPTIONS = ["query", "method", "url"]; -const GHES_V3_SUFFIX_REGEX = /\/api\/v3\/?$/; -function graphql(request, query, options) { - if (options) { - if (typeof query === "string" && "query" in options) { - return Promise.reject(new Error(`[@octokit/graphql] "query" cannot be used as variable name`)); + return Object.assign(withDecorations, requestWithDefaults); } - for (const key in options) { - if (!FORBIDDEN_VARIABLE_OPTIONS.includes(key)) continue; - return Promise.reject(new Error(`[@octokit/graphql] "${key}" cannot be used as variable name`)); + function restEndpointMethods(octokit) { + const api = endpointsToMethods(octokit, Endpoints); + return {rest : api}; } - } - - const parsedOptions = typeof query === "string" ? Object.assign({ - query - }, options) : query; - const requestOptions = Object.keys(parsedOptions).reduce((result, key) => { - if (NON_VARIABLE_OPTIONS.includes(key)) { - result[key] = parsedOptions[key]; - return result; + restEndpointMethods.VERSION = VERSION; + function legacyRestEndpointMethods(octokit) { + const api = endpointsToMethods(octokit, Endpoints); + return _objectSpread2(_objectSpread2({}, api), {}, {rest : api}); } + legacyRestEndpointMethods.VERSION = VERSION; - if (!result.variables) { - result.variables = {}; - } + exports.legacyRestEndpointMethods = legacyRestEndpointMethods; + exports.restEndpointMethods = restEndpointMethods; + //# sourceMappingURL=index.js.map - result.variables[key] = parsedOptions[key]; - return result; - }, {}); // workaround for GitHub Enterprise baseUrl set with /api/v3 suffix - // https://github.com/octokit/auth-app.js/issues/111#issuecomment-657610451 + /***/ }), - const baseUrl = parsedOptions.baseUrl || request.endpoint.DEFAULTS.baseUrl; +/***/ 537: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; - if (GHES_V3_SUFFIX_REGEX.test(baseUrl)) { - requestOptions.url = baseUrl.replace(GHES_V3_SUFFIX_REGEX, "/api/graphql"); - } + Object.defineProperty(exports, "__esModule", ({value : true})); - return request(requestOptions).then(response => { - if (response.data.errors) { - const headers = {}; + function _interopDefault(ex) { + return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; + } - for (const key of Object.keys(response.headers)) { - headers[key] = response.headers[key]; - } + var deprecation = __nccwpck_require__(8932); + var once = _interopDefault(__nccwpck_require__(1223)); - throw new GraphqlResponseError(requestOptions, headers, response.data); - } + const logOnceCode = once(deprecation => console.warn(deprecation)); + const logOnceHeaders = once(deprecation => console.warn(deprecation)); + /** + * Error with extra properties to help with debugging + */ - return response.data.data; - }); -} + class RequestError extends Error { + constructor(message, statusCode, options) { + super(message); // Maintains proper stack trace (only available on V8) -function withDefaults(request$1, newDefaults) { - const newRequest = request$1.defaults(newDefaults); + /* istanbul ignore next */ - const newApi = (query, options) => { - return graphql(newRequest, query, options); - }; + if (Error.captureStackTrace) { + Error.captureStackTrace(this, this.constructor); + } - return Object.assign(newApi, { - defaults: withDefaults.bind(null, newRequest), - endpoint: request.request.endpoint - }); -} + this.name = "HttpError"; + this.status = statusCode; + let headers; -const graphql$1 = withDefaults(request.request, { - headers: { - "user-agent": `octokit-graphql.js/${VERSION} ${universalUserAgent.getUserAgent()}` - }, - method: "POST", - url: "/graphql" -}); -function withCustomRequest(customRequest) { - return withDefaults(customRequest, { - method: "POST", - url: "/graphql" - }); -} + if ("headers" in options && typeof options.headers !== "undefined") { + headers = options.headers; + } -exports.GraphqlResponseError = GraphqlResponseError; -exports.graphql = graphql$1; -exports.withCustomRequest = withCustomRequest; -//# sourceMappingURL=index.js.map + if ("response" in options) { + this.response = options.response; + headers = options.response.headers; + } // redact request credentials without mutating original request options + const requestCopy = Object.assign({}, options.request); -/***/ }), + if (options.request.headers.authorization) { + requestCopy.headers = Object.assign({}, options.request.headers, { + authorization : options.request.headers.authorization.replace(/ .*$/, " [REDACTED]") + }); + } -/***/ 4193: -/***/ ((__unused_webpack_module, exports) => { + requestCopy.url = + requestCopy + .url // client_id & client_secret can be passed as URL query parameters to increase rate limit + // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications + .replace( + /\bclient_secret=\w+/g, "client_secret=[REDACTED]") // OAuth tokens can be passed as URL query + // parameters, although it is not recommended + // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header + .replace(/\baccess_token=\w+/g, "access_token=[REDACTED]"); + this.request = requestCopy; // deprecations + + Object.defineProperty(this, "code", { + get() { + logOnceCode(new deprecation.Deprecation( + "[@octokit/request-error] `error.code` is deprecated, use `error.status`.")); + return statusCode; + } -"use strict"; + }); + Object.defineProperty(this, "headers", { + get() { + logOnceHeaders(new deprecation.Deprecation( + "[@octokit/request-error] `error.headers` is deprecated, use `error.response.headers`.")); + return headers || {}; + } + }); + } + } -Object.defineProperty(exports, "__esModule", ({ value: true })); + exports.RequestError = RequestError; + //# sourceMappingURL=index.js.map -const VERSION = "2.17.0"; + /***/ }), -function ownKeys(object, enumerableOnly) { - var keys = Object.keys(object); +/***/ 6234: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; - if (Object.getOwnPropertySymbols) { - var symbols = Object.getOwnPropertySymbols(object); + Object.defineProperty(exports, "__esModule", ({value : true})); - if (enumerableOnly) { - symbols = symbols.filter(function (sym) { - return Object.getOwnPropertyDescriptor(object, sym).enumerable; - }); + function _interopDefault(ex) { + return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; } - keys.push.apply(keys, symbols); - } - - return keys; -} + var endpoint = __nccwpck_require__(9440); + var universalUserAgent = __nccwpck_require__(5030); + var isPlainObject = __nccwpck_require__(3287); + var nodeFetch = _interopDefault(__nccwpck_require__(467)); + var requestError = __nccwpck_require__(537); -function _objectSpread2(target) { - for (var i = 1; i < arguments.length; i++) { - var source = arguments[i] != null ? arguments[i] : {}; + const VERSION = "5.6.3"; - if (i % 2) { - ownKeys(Object(source), true).forEach(function (key) { - _defineProperty(target, key, source[key]); - }); - } else if (Object.getOwnPropertyDescriptors) { - Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)); - } else { - ownKeys(Object(source)).forEach(function (key) { - Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key)); - }); + function getBufferResponse(response) { + return response.arrayBuffer(); } - } - return target; -} + function fetchWrapper(requestOptions) { + const log = requestOptions.request && requestOptions.request.log ? requestOptions.request.log : console; -function _defineProperty(obj, key, value) { - if (key in obj) { - Object.defineProperty(obj, key, { - value: value, - enumerable: true, - configurable: true, - writable: true - }); - } else { - obj[key] = value; - } + if (isPlainObject.isPlainObject(requestOptions.body) || Array.isArray(requestOptions.body)) { + requestOptions.body = JSON.stringify(requestOptions.body); + } - return obj; -} + let headers = {}; + let status; + let url; + const fetch = requestOptions.request && requestOptions.request.fetch || nodeFetch; + return fetch( + requestOptions.url, + Object.assign( + { + method : requestOptions.method, + body : requestOptions.body, + headers : requestOptions.headers, + redirect : requestOptions.redirect + }, // `requestOptions.request.agent` type is incompatible + // see https://github.com/octokit/types.ts/pull/264 + requestOptions.request)) + .then(async response => { + url = response.url; + status = response.status; + + for (const keyAndValue of response.headers) { + headers[keyAndValue[0]] = keyAndValue[1]; + } -/** - * Some “list” response that can be paginated have a different response structure - * - * They have a `total_count` key in the response (search also has `incomplete_results`, - * /installation/repositories also has `repository_selection`), as well as a key with - * the list of the items which name varies from endpoint to endpoint. - * - * Octokit normalizes these responses so that paginated results are always returned following - * the same structure. One challenge is that if the list response has only one page, no Link - * header is provided, so this header alone is not sufficient to check wether a response is - * paginated or not. - * - * We check if a "total_count" key is present in the response data, but also make sure that - * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would - * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref - */ -function normalizePaginatedListResponse(response) { - // endpoints can respond with 204 if repository is empty - if (!response.data) { - return _objectSpread2(_objectSpread2({}, response), {}, { - data: [] - }); - } + if ("deprecation" in headers) { + const matches = headers.link && headers.link.match(/<([^>]+)>; rel="deprecation"/); + const deprecationLink = matches && matches.pop(); + log.warn(`[@octokit/request] "${requestOptions.method} ${ + requestOptions.url}" is deprecated. It is scheduled to be removed on ${headers.sunset}${ + deprecationLink ? `. See ${deprecationLink}` : ""}`); + } - const responseNeedsNormalization = "total_count" in response.data && !("url" in response.data); - if (!responseNeedsNormalization) return response; // keep the additional properties intact as there is currently no other way - // to retrieve the same information. - - const incompleteResults = response.data.incomplete_results; - const repositorySelection = response.data.repository_selection; - const totalCount = response.data.total_count; - delete response.data.incomplete_results; - delete response.data.repository_selection; - delete response.data.total_count; - const namespaceKey = Object.keys(response.data)[0]; - const data = response.data[namespaceKey]; - response.data = data; - - if (typeof incompleteResults !== "undefined") { - response.data.incomplete_results = incompleteResults; - } + if (status === 204 || status === 205) { + return; + } // GitHub API returns 200 for HEAD requests - if (typeof repositorySelection !== "undefined") { - response.data.repository_selection = repositorySelection; - } + if (requestOptions.method === "HEAD") { + if (status < 400) { + return; + } - response.data.total_count = totalCount; - return response; -} + throw new requestError.RequestError( + response.statusText, + status, + {response : {url, status, headers, data : undefined}, request : requestOptions}); + } -function iterator(octokit, route, parameters) { - const options = typeof route === "function" ? route.endpoint(parameters) : octokit.request.endpoint(route, parameters); - const requestMethod = typeof route === "function" ? route : octokit.request; - const method = options.method; - const headers = options.headers; - let url = options.url; - return { - [Symbol.asyncIterator]: () => ({ - async next() { - if (!url) return { - done: true - }; + if (status === 304) { + throw new requestError.RequestError("Not modified", status, { + response : {url, status, headers, data : await getResponseData(response)}, + request : requestOptions + }); + } - try { - const response = await requestMethod({ - method, - url, - headers + if (status >= 400) { + const data = await getResponseData(response); + const error = new requestError.RequestError( + toErrorMessage(data), status, {response : {url, status, headers, data}, request : requestOptions}); + throw error; + } + + return getResponseData(response); + }) + .then(data => { return {status, url, headers, data}; }) + .catch(error => { + if (error instanceof requestError.RequestError) + throw error; + throw new requestError.RequestError(error.message, 500, {request : requestOptions}); }); - const normalizedResponse = normalizePaginatedListResponse(response); // `response.headers.link` format: - // '; rel="next", ; rel="last"' - // sets `url` to undefined if "next" URL is not present or `link` header is not set + } - url = ((normalizedResponse.headers.link || "").match(/<([^>]+)>;\s*rel="next"/) || [])[1]; - return { - value: normalizedResponse - }; - } catch (error) { - if (error.status !== 409) throw error; - url = ""; - return { - value: { - status: 200, - headers: {}, - data: [] - } - }; - } + async function getResponseData(response) { + const contentType = response.headers.get("content-type"); + + if (/application\/json/.test(contentType)) { + return response.json(); } - }) - }; -} + if (!contentType || /^text\/|charset=utf-8$/.test(contentType)) { + return response.text(); + } -function paginate(octokit, route, parameters, mapFn) { - if (typeof parameters === "function") { - mapFn = parameters; - parameters = undefined; - } + return getBufferResponse(response); + } - return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn); -} + function toErrorMessage(data) { + if (typeof data === "string") + return data; // istanbul ignore else - just in case -function gather(octokit, results, iterator, mapFn) { - return iterator.next().then(result => { - if (result.done) { - return results; - } + if ("message" in data) { + if (Array.isArray(data.errors)) { + return `${data.message}: ${data.errors.map(JSON.stringify).join(", ")}`; + } - let earlyExit = false; + return data.message; + } // istanbul ignore next - just in case - function done() { - earlyExit = true; + return `Unknown error: ${JSON.stringify(data)}`; } - results = results.concat(mapFn ? mapFn(result.value, done) : result.value.data); + function withDefaults(oldEndpoint, newDefaults) { + const endpoint = oldEndpoint.defaults(newDefaults); - if (earlyExit) { - return results; + const newApi = function(route, parameters) { + const endpointOptions = endpoint.merge(route, parameters); + + if (!endpointOptions.request || !endpointOptions.request.hook) { + return fetchWrapper(endpoint.parse(endpointOptions)); + } + + const request = + (route, parameters) => { return fetchWrapper(endpoint.parse(endpoint.merge(route, parameters))); }; + + Object.assign(request, {endpoint, defaults : withDefaults.bind(null, endpoint)}); + return endpointOptions.request.hook(request, endpointOptions); + }; + + return Object.assign(newApi, {endpoint, defaults : withDefaults.bind(null, endpoint)}); } - return gather(octokit, results, iterator, mapFn); - }); -} + const request = withDefaults( + endpoint.endpoint, + {headers : {"user-agent" : `octokit-request.js/${VERSION} ${universalUserAgent.getUserAgent()}`}}); -const composePaginateRest = Object.assign(paginate, { - iterator -}); + exports.request = request; + //# sourceMappingURL=index.js.map -const paginatingEndpoints = ["GET /app/hook/deliveries", "GET /app/installations", "GET /applications/grants", "GET /authorizations", "GET /enterprises/{enterprise}/actions/permissions/organizations", "GET /enterprises/{enterprise}/actions/runner-groups", "GET /enterprises/{enterprise}/actions/runner-groups/{runner_group_id}/organizations", "GET /enterprises/{enterprise}/actions/runner-groups/{runner_group_id}/runners", "GET /enterprises/{enterprise}/actions/runners", "GET /enterprises/{enterprise}/actions/runners/downloads", "GET /events", "GET /gists", "GET /gists/public", "GET /gists/starred", "GET /gists/{gist_id}/comments", "GET /gists/{gist_id}/commits", "GET /gists/{gist_id}/forks", "GET /installation/repositories", "GET /issues", "GET /marketplace_listing/plans", "GET /marketplace_listing/plans/{plan_id}/accounts", "GET /marketplace_listing/stubbed/plans", "GET /marketplace_listing/stubbed/plans/{plan_id}/accounts", "GET /networks/{owner}/{repo}/events", "GET /notifications", "GET /organizations", "GET /orgs/{org}/actions/permissions/repositories", "GET /orgs/{org}/actions/runner-groups", "GET /orgs/{org}/actions/runner-groups/{runner_group_id}/repositories", "GET /orgs/{org}/actions/runner-groups/{runner_group_id}/runners", "GET /orgs/{org}/actions/runners", "GET /orgs/{org}/actions/runners/downloads", "GET /orgs/{org}/actions/secrets", "GET /orgs/{org}/actions/secrets/{secret_name}/repositories", "GET /orgs/{org}/blocks", "GET /orgs/{org}/credential-authorizations", "GET /orgs/{org}/events", "GET /orgs/{org}/failed_invitations", "GET /orgs/{org}/hooks", "GET /orgs/{org}/hooks/{hook_id}/deliveries", "GET /orgs/{org}/installations", "GET /orgs/{org}/invitations", "GET /orgs/{org}/invitations/{invitation_id}/teams", "GET /orgs/{org}/issues", "GET /orgs/{org}/members", "GET /orgs/{org}/migrations", "GET /orgs/{org}/migrations/{migration_id}/repositories", "GET /orgs/{org}/outside_collaborators", "GET /orgs/{org}/packages", "GET /orgs/{org}/projects", "GET /orgs/{org}/public_members", "GET /orgs/{org}/repos", "GET /orgs/{org}/secret-scanning/alerts", "GET /orgs/{org}/team-sync/groups", "GET /orgs/{org}/teams", "GET /orgs/{org}/teams/{team_slug}/discussions", "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments", "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions", "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions", "GET /orgs/{org}/teams/{team_slug}/invitations", "GET /orgs/{org}/teams/{team_slug}/members", "GET /orgs/{org}/teams/{team_slug}/projects", "GET /orgs/{org}/teams/{team_slug}/repos", "GET /orgs/{org}/teams/{team_slug}/team-sync/group-mappings", "GET /orgs/{org}/teams/{team_slug}/teams", "GET /projects/columns/{column_id}/cards", "GET /projects/{project_id}/collaborators", "GET /projects/{project_id}/columns", "GET /repos/{owner}/{repo}/actions/artifacts", "GET /repos/{owner}/{repo}/actions/runners", "GET /repos/{owner}/{repo}/actions/runners/downloads", "GET /repos/{owner}/{repo}/actions/runs", "GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts", "GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/jobs", "GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs", "GET /repos/{owner}/{repo}/actions/secrets", "GET /repos/{owner}/{repo}/actions/workflows", "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs", "GET /repos/{owner}/{repo}/assignees", "GET /repos/{owner}/{repo}/autolinks", "GET /repos/{owner}/{repo}/branches", "GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations", "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs", "GET /repos/{owner}/{repo}/code-scanning/alerts", "GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances", "GET /repos/{owner}/{repo}/code-scanning/analyses", "GET /repos/{owner}/{repo}/collaborators", "GET /repos/{owner}/{repo}/comments", "GET /repos/{owner}/{repo}/comments/{comment_id}/reactions", "GET /repos/{owner}/{repo}/commits", "GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head", "GET /repos/{owner}/{repo}/commits/{commit_sha}/comments", "GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls", "GET /repos/{owner}/{repo}/commits/{ref}/check-runs", "GET /repos/{owner}/{repo}/commits/{ref}/check-suites", "GET /repos/{owner}/{repo}/commits/{ref}/statuses", "GET /repos/{owner}/{repo}/contributors", "GET /repos/{owner}/{repo}/deployments", "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses", "GET /repos/{owner}/{repo}/events", "GET /repos/{owner}/{repo}/forks", "GET /repos/{owner}/{repo}/git/matching-refs/{ref}", "GET /repos/{owner}/{repo}/hooks", "GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries", "GET /repos/{owner}/{repo}/invitations", "GET /repos/{owner}/{repo}/issues", "GET /repos/{owner}/{repo}/issues/comments", "GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions", "GET /repos/{owner}/{repo}/issues/events", "GET /repos/{owner}/{repo}/issues/{issue_number}/comments", "GET /repos/{owner}/{repo}/issues/{issue_number}/events", "GET /repos/{owner}/{repo}/issues/{issue_number}/labels", "GET /repos/{owner}/{repo}/issues/{issue_number}/reactions", "GET /repos/{owner}/{repo}/issues/{issue_number}/timeline", "GET /repos/{owner}/{repo}/keys", "GET /repos/{owner}/{repo}/labels", "GET /repos/{owner}/{repo}/milestones", "GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels", "GET /repos/{owner}/{repo}/notifications", "GET /repos/{owner}/{repo}/pages/builds", "GET /repos/{owner}/{repo}/projects", "GET /repos/{owner}/{repo}/pulls", "GET /repos/{owner}/{repo}/pulls/comments", "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions", "GET /repos/{owner}/{repo}/pulls/{pull_number}/comments", "GET /repos/{owner}/{repo}/pulls/{pull_number}/commits", "GET /repos/{owner}/{repo}/pulls/{pull_number}/files", "GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers", "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews", "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments", "GET /repos/{owner}/{repo}/releases", "GET /repos/{owner}/{repo}/releases/{release_id}/assets", "GET /repos/{owner}/{repo}/secret-scanning/alerts", "GET /repos/{owner}/{repo}/stargazers", "GET /repos/{owner}/{repo}/subscribers", "GET /repos/{owner}/{repo}/tags", "GET /repos/{owner}/{repo}/teams", "GET /repositories", "GET /repositories/{repository_id}/environments/{environment_name}/secrets", "GET /scim/v2/enterprises/{enterprise}/Groups", "GET /scim/v2/enterprises/{enterprise}/Users", "GET /scim/v2/organizations/{org}/Users", "GET /search/code", "GET /search/commits", "GET /search/issues", "GET /search/labels", "GET /search/repositories", "GET /search/topics", "GET /search/users", "GET /teams/{team_id}/discussions", "GET /teams/{team_id}/discussions/{discussion_number}/comments", "GET /teams/{team_id}/discussions/{discussion_number}/comments/{comment_number}/reactions", "GET /teams/{team_id}/discussions/{discussion_number}/reactions", "GET /teams/{team_id}/invitations", "GET /teams/{team_id}/members", "GET /teams/{team_id}/projects", "GET /teams/{team_id}/repos", "GET /teams/{team_id}/team-sync/group-mappings", "GET /teams/{team_id}/teams", "GET /user/blocks", "GET /user/emails", "GET /user/followers", "GET /user/following", "GET /user/gpg_keys", "GET /user/installations", "GET /user/installations/{installation_id}/repositories", "GET /user/issues", "GET /user/keys", "GET /user/marketplace_purchases", "GET /user/marketplace_purchases/stubbed", "GET /user/memberships/orgs", "GET /user/migrations", "GET /user/migrations/{migration_id}/repositories", "GET /user/orgs", "GET /user/packages", "GET /user/public_emails", "GET /user/repos", "GET /user/repository_invitations", "GET /user/starred", "GET /user/subscriptions", "GET /user/teams", "GET /users", "GET /users/{username}/events", "GET /users/{username}/events/orgs/{org}", "GET /users/{username}/events/public", "GET /users/{username}/followers", "GET /users/{username}/following", "GET /users/{username}/gists", "GET /users/{username}/gpg_keys", "GET /users/{username}/keys", "GET /users/{username}/orgs", "GET /users/{username}/packages", "GET /users/{username}/projects", "GET /users/{username}/received_events", "GET /users/{username}/received_events/public", "GET /users/{username}/repos", "GET /users/{username}/starred", "GET /users/{username}/subscriptions"]; + /***/ }), -function isPaginatingEndpoint(arg) { - if (typeof arg === "string") { - return paginatingEndpoints.includes(arg); - } else { - return false; - } +/***/ 3682: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + +var register = __nccwpck_require__(4670) +var addHook = __nccwpck_require__(5549) +var removeHook = __nccwpck_require__(6819) + +// bind with array of arguments: https://stackoverflow.com/a/21792913 +var bind = Function.bind +var bindable = bind.bind(bind) + +function bindApi(hook, state, name) { + var removeHookRef = bindable(removeHook, null).apply(null, name ? [ state, name ] : [ state ]) + hook.api = {remove : removeHookRef} hook.remove = removeHookRef + + ; + ['before', 'error', 'after', 'wrap'].forEach(function(kind) { + var args = name ? [ state, kind, name ] : [ state, kind ] + hook[kind] = hook.api[kind] = bindable(addHook, null).apply(null, args) + }) } -/** - * @param octokit Octokit instance - * @param options Options passed to Octokit constructor - */ - -function paginateRest(octokit) { - return { - paginate: Object.assign(paginate.bind(null, octokit), { - iterator: iterator.bind(null, octokit) - }) - }; +function HookSingular() { + var singularHookName = 'h' + var singularHookState = { registry : {} } var singularHook = register.bind(null, singularHookState, singularHookName) + bindApi(singularHook, singularHookState, singularHookName) + return singularHook } -paginateRest.VERSION = VERSION; -exports.composePaginateRest = composePaginateRest; -exports.isPaginatingEndpoint = isPaginatingEndpoint; -exports.paginateRest = paginateRest; -exports.paginatingEndpoints = paginatingEndpoints; -//# sourceMappingURL=index.js.map +function HookCollection() { + var state = { + registry : {} + } + var hook = register.bind(null, state) + bindApi(hook, state) -/***/ }), + return hook +} -/***/ 3044: -/***/ ((__unused_webpack_module, exports) => { +var collectionHookDeprecationMessageDisplayed = false +function Hook() { + if (!collectionHookDeprecationMessageDisplayed) { + console.warn( + '[before-after-hook]: "Hook()" repurposing warning, use "Hook.Collection()". Read more: https://git.io/upgrade-before-after-hook-to-1.4') + collectionHookDeprecationMessageDisplayed = true + } + return HookCollection() +} -"use strict"; +Hook.Singular = HookSingular.bind() +Hook.Collection = HookCollection.bind() +module.exports = Hook +// expose constructors as a named property for TypeScript +module.exports.Hook = Hook +module.exports.Singular = Hook.Singular +module.exports.Collection = Hook.Collection -Object.defineProperty(exports, "__esModule", ({ value: true })); -function ownKeys(object, enumerableOnly) { - var keys = Object.keys(object); +/***/ }), - if (Object.getOwnPropertySymbols) { - var symbols = Object.getOwnPropertySymbols(object); +/***/ 5549: +/***/ ((module) => { + module.exports = addHook; - if (enumerableOnly) { - symbols = symbols.filter(function (sym) { - return Object.getOwnPropertyDescriptor(object, sym).enumerable; - }); - } + function addHook(state, kind, name, hook) { + var orig = hook; + if (!state.registry[name]) { + state.registry[name] = []; + } - keys.push.apply(keys, symbols); - } + if (kind === "before") { + hook = function(method, options) { + return Promise.resolve().then(orig.bind(null, options)).then(method.bind(null, options)); + }; + } - return keys; -} + if (kind === "after") { + hook = function(method, options) { + var result; + return Promise.resolve() + .then(method.bind(null, options)) + .then(function(result_) { + result = result_; + return orig(result, options); + }) + .then(function() { + return result; + }); + }; + } -function _objectSpread2(target) { - for (var i = 1; i < arguments.length; i++) { - var source = arguments[i] != null ? arguments[i] : {}; + if (kind === "error") { + hook = function(method, options) { + return Promise.resolve().then(method.bind(null, options)).catch(function(error) { + return orig(error, options); + }); + }; + } - if (i % 2) { - ownKeys(Object(source), true).forEach(function (key) { - _defineProperty(target, key, source[key]); - }); - } else if (Object.getOwnPropertyDescriptors) { - Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)); - } else { - ownKeys(Object(source)).forEach(function (key) { - Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key)); + state.registry[name].push({ + hook : hook, + orig : orig, }); } - } - return target; -} + /***/ }), -function _defineProperty(obj, key, value) { - if (key in obj) { - Object.defineProperty(obj, key, { - value: value, - enumerable: true, - configurable: true, - writable: true - }); - } else { - obj[key] = value; - } +/***/ 4670: +/***/ ((module) => { + module.exports = register; - return obj; -} + function register(state, name, method, options) { + if (typeof method !== "function") { + throw new Error("method for before hook must be a function"); + } -const Endpoints = { - actions: { - addSelectedRepoToOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}"], - approveWorkflowRun: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/approve"], - cancelWorkflowRun: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel"], - createOrUpdateEnvironmentSecret: ["PUT /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}"], - createOrUpdateOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}"], - createOrUpdateRepoSecret: ["PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}"], - createRegistrationTokenForOrg: ["POST /orgs/{org}/actions/runners/registration-token"], - createRegistrationTokenForRepo: ["POST /repos/{owner}/{repo}/actions/runners/registration-token"], - createRemoveTokenForOrg: ["POST /orgs/{org}/actions/runners/remove-token"], - createRemoveTokenForRepo: ["POST /repos/{owner}/{repo}/actions/runners/remove-token"], - createWorkflowDispatch: ["POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches"], - deleteArtifact: ["DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"], - deleteEnvironmentSecret: ["DELETE /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}"], - deleteOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}"], - deleteRepoSecret: ["DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}"], - deleteSelfHostedRunnerFromOrg: ["DELETE /orgs/{org}/actions/runners/{runner_id}"], - deleteSelfHostedRunnerFromRepo: ["DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}"], - deleteWorkflowRun: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}"], - deleteWorkflowRunLogs: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs"], - disableSelectedRepositoryGithubActionsOrganization: ["DELETE /orgs/{org}/actions/permissions/repositories/{repository_id}"], - disableWorkflow: ["PUT /repos/{owner}/{repo}/actions/workflows/{workflow_id}/disable"], - downloadArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}"], - downloadJobLogsForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs"], - downloadWorkflowRunAttemptLogs: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/logs"], - downloadWorkflowRunLogs: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs"], - enableSelectedRepositoryGithubActionsOrganization: ["PUT /orgs/{org}/actions/permissions/repositories/{repository_id}"], - enableWorkflow: ["PUT /repos/{owner}/{repo}/actions/workflows/{workflow_id}/enable"], - getAllowedActionsOrganization: ["GET /orgs/{org}/actions/permissions/selected-actions"], - getAllowedActionsRepository: ["GET /repos/{owner}/{repo}/actions/permissions/selected-actions"], - getArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"], - getEnvironmentPublicKey: ["GET /repositories/{repository_id}/environments/{environment_name}/secrets/public-key"], - getEnvironmentSecret: ["GET /repositories/{repository_id}/environments/{environment_name}/secrets/{secret_name}"], - getGithubActionsPermissionsOrganization: ["GET /orgs/{org}/actions/permissions"], - getGithubActionsPermissionsRepository: ["GET /repos/{owner}/{repo}/actions/permissions"], - getJobForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}"], - getOrgPublicKey: ["GET /orgs/{org}/actions/secrets/public-key"], - getOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}"], - getPendingDeploymentsForRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/pending_deployments"], - getRepoPermissions: ["GET /repos/{owner}/{repo}/actions/permissions", {}, { - renamed: ["actions", "getGithubActionsPermissionsRepository"] - }], - getRepoPublicKey: ["GET /repos/{owner}/{repo}/actions/secrets/public-key"], - getRepoSecret: ["GET /repos/{owner}/{repo}/actions/secrets/{secret_name}"], - getReviewsForRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/approvals"], - getSelfHostedRunnerForOrg: ["GET /orgs/{org}/actions/runners/{runner_id}"], - getSelfHostedRunnerForRepo: ["GET /repos/{owner}/{repo}/actions/runners/{runner_id}"], - getWorkflow: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}"], - getWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}"], - getWorkflowRunAttempt: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}"], - getWorkflowRunUsage: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing"], - getWorkflowUsage: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing"], - listArtifactsForRepo: ["GET /repos/{owner}/{repo}/actions/artifacts"], - listEnvironmentSecrets: ["GET /repositories/{repository_id}/environments/{environment_name}/secrets"], - listJobsForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs"], - listJobsForWorkflowRunAttempt: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/attempts/{attempt_number}/jobs"], - listOrgSecrets: ["GET /orgs/{org}/actions/secrets"], - listRepoSecrets: ["GET /repos/{owner}/{repo}/actions/secrets"], - listRepoWorkflows: ["GET /repos/{owner}/{repo}/actions/workflows"], - listRunnerApplicationsForOrg: ["GET /orgs/{org}/actions/runners/downloads"], - listRunnerApplicationsForRepo: ["GET /repos/{owner}/{repo}/actions/runners/downloads"], - listSelectedReposForOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}/repositories"], - listSelectedRepositoriesEnabledGithubActionsOrganization: ["GET /orgs/{org}/actions/permissions/repositories"], - listSelfHostedRunnersForOrg: ["GET /orgs/{org}/actions/runners"], - listSelfHostedRunnersForRepo: ["GET /repos/{owner}/{repo}/actions/runners"], - listWorkflowRunArtifacts: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts"], - listWorkflowRuns: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs"], - listWorkflowRunsForRepo: ["GET /repos/{owner}/{repo}/actions/runs"], - removeSelectedRepoFromOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}"], - reviewPendingDeploymentsForRun: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/pending_deployments"], - setAllowedActionsOrganization: ["PUT /orgs/{org}/actions/permissions/selected-actions"], - setAllowedActionsRepository: ["PUT /repos/{owner}/{repo}/actions/permissions/selected-actions"], - setGithubActionsPermissionsOrganization: ["PUT /orgs/{org}/actions/permissions"], - setGithubActionsPermissionsRepository: ["PUT /repos/{owner}/{repo}/actions/permissions"], - setSelectedReposForOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}/repositories"], - setSelectedRepositoriesEnabledGithubActionsOrganization: ["PUT /orgs/{org}/actions/permissions/repositories"] - }, - activity: { - checkRepoIsStarredByAuthenticatedUser: ["GET /user/starred/{owner}/{repo}"], - deleteRepoSubscription: ["DELETE /repos/{owner}/{repo}/subscription"], - deleteThreadSubscription: ["DELETE /notifications/threads/{thread_id}/subscription"], - getFeeds: ["GET /feeds"], - getRepoSubscription: ["GET /repos/{owner}/{repo}/subscription"], - getThread: ["GET /notifications/threads/{thread_id}"], - getThreadSubscriptionForAuthenticatedUser: ["GET /notifications/threads/{thread_id}/subscription"], - listEventsForAuthenticatedUser: ["GET /users/{username}/events"], - listNotificationsForAuthenticatedUser: ["GET /notifications"], - listOrgEventsForAuthenticatedUser: ["GET /users/{username}/events/orgs/{org}"], - listPublicEvents: ["GET /events"], - listPublicEventsForRepoNetwork: ["GET /networks/{owner}/{repo}/events"], - listPublicEventsForUser: ["GET /users/{username}/events/public"], - listPublicOrgEvents: ["GET /orgs/{org}/events"], - listReceivedEventsForUser: ["GET /users/{username}/received_events"], - listReceivedPublicEventsForUser: ["GET /users/{username}/received_events/public"], - listRepoEvents: ["GET /repos/{owner}/{repo}/events"], - listRepoNotificationsForAuthenticatedUser: ["GET /repos/{owner}/{repo}/notifications"], - listReposStarredByAuthenticatedUser: ["GET /user/starred"], - listReposStarredByUser: ["GET /users/{username}/starred"], - listReposWatchedByUser: ["GET /users/{username}/subscriptions"], - listStargazersForRepo: ["GET /repos/{owner}/{repo}/stargazers"], - listWatchedReposForAuthenticatedUser: ["GET /user/subscriptions"], - listWatchersForRepo: ["GET /repos/{owner}/{repo}/subscribers"], - markNotificationsAsRead: ["PUT /notifications"], - markRepoNotificationsAsRead: ["PUT /repos/{owner}/{repo}/notifications"], - markThreadAsRead: ["PATCH /notifications/threads/{thread_id}"], - setRepoSubscription: ["PUT /repos/{owner}/{repo}/subscription"], - setThreadSubscription: ["PUT /notifications/threads/{thread_id}/subscription"], - starRepoForAuthenticatedUser: ["PUT /user/starred/{owner}/{repo}"], - unstarRepoForAuthenticatedUser: ["DELETE /user/starred/{owner}/{repo}"] - }, - apps: { - addRepoToInstallation: ["PUT /user/installations/{installation_id}/repositories/{repository_id}", {}, { - renamed: ["apps", "addRepoToInstallationForAuthenticatedUser"] - }], - addRepoToInstallationForAuthenticatedUser: ["PUT /user/installations/{installation_id}/repositories/{repository_id}"], - checkToken: ["POST /applications/{client_id}/token"], - createContentAttachment: ["POST /content_references/{content_reference_id}/attachments", { - mediaType: { - previews: ["corsair"] - } - }], - createContentAttachmentForRepo: ["POST /repos/{owner}/{repo}/content_references/{content_reference_id}/attachments", { - mediaType: { - previews: ["corsair"] - } - }], - createFromManifest: ["POST /app-manifests/{code}/conversions"], - createInstallationAccessToken: ["POST /app/installations/{installation_id}/access_tokens"], - deleteAuthorization: ["DELETE /applications/{client_id}/grant"], - deleteInstallation: ["DELETE /app/installations/{installation_id}"], - deleteToken: ["DELETE /applications/{client_id}/token"], - getAuthenticated: ["GET /app"], - getBySlug: ["GET /apps/{app_slug}"], - getInstallation: ["GET /app/installations/{installation_id}"], - getOrgInstallation: ["GET /orgs/{org}/installation"], - getRepoInstallation: ["GET /repos/{owner}/{repo}/installation"], - getSubscriptionPlanForAccount: ["GET /marketplace_listing/accounts/{account_id}"], - getSubscriptionPlanForAccountStubbed: ["GET /marketplace_listing/stubbed/accounts/{account_id}"], - getUserInstallation: ["GET /users/{username}/installation"], - getWebhookConfigForApp: ["GET /app/hook/config"], - getWebhookDelivery: ["GET /app/hook/deliveries/{delivery_id}"], - listAccountsForPlan: ["GET /marketplace_listing/plans/{plan_id}/accounts"], - listAccountsForPlanStubbed: ["GET /marketplace_listing/stubbed/plans/{plan_id}/accounts"], - listInstallationReposForAuthenticatedUser: ["GET /user/installations/{installation_id}/repositories"], - listInstallations: ["GET /app/installations"], - listInstallationsForAuthenticatedUser: ["GET /user/installations"], - listPlans: ["GET /marketplace_listing/plans"], - listPlansStubbed: ["GET /marketplace_listing/stubbed/plans"], - listReposAccessibleToInstallation: ["GET /installation/repositories"], - listSubscriptionsForAuthenticatedUser: ["GET /user/marketplace_purchases"], - listSubscriptionsForAuthenticatedUserStubbed: ["GET /user/marketplace_purchases/stubbed"], - listWebhookDeliveries: ["GET /app/hook/deliveries"], - redeliverWebhookDelivery: ["POST /app/hook/deliveries/{delivery_id}/attempts"], - removeRepoFromInstallation: ["DELETE /user/installations/{installation_id}/repositories/{repository_id}", {}, { - renamed: ["apps", "removeRepoFromInstallationForAuthenticatedUser"] - }], - removeRepoFromInstallationForAuthenticatedUser: ["DELETE /user/installations/{installation_id}/repositories/{repository_id}"], - resetToken: ["PATCH /applications/{client_id}/token"], - revokeInstallationAccessToken: ["DELETE /installation/token"], - scopeToken: ["POST /applications/{client_id}/token/scoped"], - suspendInstallation: ["PUT /app/installations/{installation_id}/suspended"], - unsuspendInstallation: ["DELETE /app/installations/{installation_id}/suspended"], - updateWebhookConfigForApp: ["PATCH /app/hook/config"] - }, - billing: { - getGithubActionsBillingOrg: ["GET /orgs/{org}/settings/billing/actions"], - getGithubActionsBillingUser: ["GET /users/{username}/settings/billing/actions"], - getGithubPackagesBillingOrg: ["GET /orgs/{org}/settings/billing/packages"], - getGithubPackagesBillingUser: ["GET /users/{username}/settings/billing/packages"], - getSharedStorageBillingOrg: ["GET /orgs/{org}/settings/billing/shared-storage"], - getSharedStorageBillingUser: ["GET /users/{username}/settings/billing/shared-storage"] - }, - checks: { - create: ["POST /repos/{owner}/{repo}/check-runs"], - createSuite: ["POST /repos/{owner}/{repo}/check-suites"], - get: ["GET /repos/{owner}/{repo}/check-runs/{check_run_id}"], - getSuite: ["GET /repos/{owner}/{repo}/check-suites/{check_suite_id}"], - listAnnotations: ["GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations"], - listForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/check-runs"], - listForSuite: ["GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs"], - listSuitesForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/check-suites"], - rerequestRun: ["POST /repos/{owner}/{repo}/check-runs/{check_run_id}/rerequest"], - rerequestSuite: ["POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest"], - setSuitesPreferences: ["PATCH /repos/{owner}/{repo}/check-suites/preferences"], - update: ["PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}"] - }, - codeScanning: { - deleteAnalysis: ["DELETE /repos/{owner}/{repo}/code-scanning/analyses/{analysis_id}{?confirm_delete}"], - getAlert: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}", {}, { - renamedParameters: { - alert_id: "alert_number" - } - }], - getAnalysis: ["GET /repos/{owner}/{repo}/code-scanning/analyses/{analysis_id}"], - getSarif: ["GET /repos/{owner}/{repo}/code-scanning/sarifs/{sarif_id}"], - listAlertInstances: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances"], - listAlertsForRepo: ["GET /repos/{owner}/{repo}/code-scanning/alerts"], - listAlertsInstances: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}/instances", {}, { - renamed: ["codeScanning", "listAlertInstances"] - }], - listRecentAnalyses: ["GET /repos/{owner}/{repo}/code-scanning/analyses"], - updateAlert: ["PATCH /repos/{owner}/{repo}/code-scanning/alerts/{alert_number}"], - uploadSarif: ["POST /repos/{owner}/{repo}/code-scanning/sarifs"] - }, - codesOfConduct: { - getAllCodesOfConduct: ["GET /codes_of_conduct"], - getConductCode: ["GET /codes_of_conduct/{key}"] - }, - emojis: { - get: ["GET /emojis"] - }, - enterpriseAdmin: { - disableSelectedOrganizationGithubActionsEnterprise: ["DELETE /enterprises/{enterprise}/actions/permissions/organizations/{org_id}"], - enableSelectedOrganizationGithubActionsEnterprise: ["PUT /enterprises/{enterprise}/actions/permissions/organizations/{org_id}"], - getAllowedActionsEnterprise: ["GET /enterprises/{enterprise}/actions/permissions/selected-actions"], - getGithubActionsPermissionsEnterprise: ["GET /enterprises/{enterprise}/actions/permissions"], - listSelectedOrganizationsEnabledGithubActionsEnterprise: ["GET /enterprises/{enterprise}/actions/permissions/organizations"], - setAllowedActionsEnterprise: ["PUT /enterprises/{enterprise}/actions/permissions/selected-actions"], - setGithubActionsPermissionsEnterprise: ["PUT /enterprises/{enterprise}/actions/permissions"], - setSelectedOrganizationsEnabledGithubActionsEnterprise: ["PUT /enterprises/{enterprise}/actions/permissions/organizations"] - }, - gists: { - checkIsStarred: ["GET /gists/{gist_id}/star"], - create: ["POST /gists"], - createComment: ["POST /gists/{gist_id}/comments"], - delete: ["DELETE /gists/{gist_id}"], - deleteComment: ["DELETE /gists/{gist_id}/comments/{comment_id}"], - fork: ["POST /gists/{gist_id}/forks"], - get: ["GET /gists/{gist_id}"], - getComment: ["GET /gists/{gist_id}/comments/{comment_id}"], - getRevision: ["GET /gists/{gist_id}/{sha}"], - list: ["GET /gists"], - listComments: ["GET /gists/{gist_id}/comments"], - listCommits: ["GET /gists/{gist_id}/commits"], - listForUser: ["GET /users/{username}/gists"], - listForks: ["GET /gists/{gist_id}/forks"], - listPublic: ["GET /gists/public"], - listStarred: ["GET /gists/starred"], - star: ["PUT /gists/{gist_id}/star"], - unstar: ["DELETE /gists/{gist_id}/star"], - update: ["PATCH /gists/{gist_id}"], - updateComment: ["PATCH /gists/{gist_id}/comments/{comment_id}"] - }, - git: { - createBlob: ["POST /repos/{owner}/{repo}/git/blobs"], - createCommit: ["POST /repos/{owner}/{repo}/git/commits"], - createRef: ["POST /repos/{owner}/{repo}/git/refs"], - createTag: ["POST /repos/{owner}/{repo}/git/tags"], - createTree: ["POST /repos/{owner}/{repo}/git/trees"], - deleteRef: ["DELETE /repos/{owner}/{repo}/git/refs/{ref}"], - getBlob: ["GET /repos/{owner}/{repo}/git/blobs/{file_sha}"], - getCommit: ["GET /repos/{owner}/{repo}/git/commits/{commit_sha}"], - getRef: ["GET /repos/{owner}/{repo}/git/ref/{ref}"], - getTag: ["GET /repos/{owner}/{repo}/git/tags/{tag_sha}"], - getTree: ["GET /repos/{owner}/{repo}/git/trees/{tree_sha}"], - listMatchingRefs: ["GET /repos/{owner}/{repo}/git/matching-refs/{ref}"], - updateRef: ["PATCH /repos/{owner}/{repo}/git/refs/{ref}"] - }, - gitignore: { - getAllTemplates: ["GET /gitignore/templates"], - getTemplate: ["GET /gitignore/templates/{name}"] - }, - interactions: { - getRestrictionsForAuthenticatedUser: ["GET /user/interaction-limits"], - getRestrictionsForOrg: ["GET /orgs/{org}/interaction-limits"], - getRestrictionsForRepo: ["GET /repos/{owner}/{repo}/interaction-limits"], - getRestrictionsForYourPublicRepos: ["GET /user/interaction-limits", {}, { - renamed: ["interactions", "getRestrictionsForAuthenticatedUser"] - }], - removeRestrictionsForAuthenticatedUser: ["DELETE /user/interaction-limits"], - removeRestrictionsForOrg: ["DELETE /orgs/{org}/interaction-limits"], - removeRestrictionsForRepo: ["DELETE /repos/{owner}/{repo}/interaction-limits"], - removeRestrictionsForYourPublicRepos: ["DELETE /user/interaction-limits", {}, { - renamed: ["interactions", "removeRestrictionsForAuthenticatedUser"] - }], - setRestrictionsForAuthenticatedUser: ["PUT /user/interaction-limits"], - setRestrictionsForOrg: ["PUT /orgs/{org}/interaction-limits"], - setRestrictionsForRepo: ["PUT /repos/{owner}/{repo}/interaction-limits"], - setRestrictionsForYourPublicRepos: ["PUT /user/interaction-limits", {}, { - renamed: ["interactions", "setRestrictionsForAuthenticatedUser"] - }] - }, - issues: { - addAssignees: ["POST /repos/{owner}/{repo}/issues/{issue_number}/assignees"], - addLabels: ["POST /repos/{owner}/{repo}/issues/{issue_number}/labels"], - checkUserCanBeAssigned: ["GET /repos/{owner}/{repo}/assignees/{assignee}"], - create: ["POST /repos/{owner}/{repo}/issues"], - createComment: ["POST /repos/{owner}/{repo}/issues/{issue_number}/comments"], - createLabel: ["POST /repos/{owner}/{repo}/labels"], - createMilestone: ["POST /repos/{owner}/{repo}/milestones"], - deleteComment: ["DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}"], - deleteLabel: ["DELETE /repos/{owner}/{repo}/labels/{name}"], - deleteMilestone: ["DELETE /repos/{owner}/{repo}/milestones/{milestone_number}"], - get: ["GET /repos/{owner}/{repo}/issues/{issue_number}"], - getComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}"], - getEvent: ["GET /repos/{owner}/{repo}/issues/events/{event_id}"], - getLabel: ["GET /repos/{owner}/{repo}/labels/{name}"], - getMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}"], - list: ["GET /issues"], - listAssignees: ["GET /repos/{owner}/{repo}/assignees"], - listComments: ["GET /repos/{owner}/{repo}/issues/{issue_number}/comments"], - listCommentsForRepo: ["GET /repos/{owner}/{repo}/issues/comments"], - listEvents: ["GET /repos/{owner}/{repo}/issues/{issue_number}/events"], - listEventsForRepo: ["GET /repos/{owner}/{repo}/issues/events"], - listEventsForTimeline: ["GET /repos/{owner}/{repo}/issues/{issue_number}/timeline"], - listForAuthenticatedUser: ["GET /user/issues"], - listForOrg: ["GET /orgs/{org}/issues"], - listForRepo: ["GET /repos/{owner}/{repo}/issues"], - listLabelsForMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels"], - listLabelsForRepo: ["GET /repos/{owner}/{repo}/labels"], - listLabelsOnIssue: ["GET /repos/{owner}/{repo}/issues/{issue_number}/labels"], - listMilestones: ["GET /repos/{owner}/{repo}/milestones"], - lock: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/lock"], - removeAllLabels: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels"], - removeAssignees: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees"], - removeLabel: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}"], - setLabels: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/labels"], - unlock: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock"], - update: ["PATCH /repos/{owner}/{repo}/issues/{issue_number}"], - updateComment: ["PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}"], - updateLabel: ["PATCH /repos/{owner}/{repo}/labels/{name}"], - updateMilestone: ["PATCH /repos/{owner}/{repo}/milestones/{milestone_number}"] - }, - licenses: { - get: ["GET /licenses/{license}"], - getAllCommonlyUsed: ["GET /licenses"], - getForRepo: ["GET /repos/{owner}/{repo}/license"] - }, - markdown: { - render: ["POST /markdown"], - renderRaw: ["POST /markdown/raw", { - headers: { - "content-type": "text/plain; charset=utf-8" + if (!options) { + options = {}; + } + + if (Array.isArray(name)) { + return name.reverse().reduce(function(callback, name) { + return register.bind(null, state, name, callback, options); + }, method)(); } - }] - }, - meta: { - get: ["GET /meta"], - getOctocat: ["GET /octocat"], - getZen: ["GET /zen"], - root: ["GET /"] - }, - migrations: { - cancelImport: ["DELETE /repos/{owner}/{repo}/import"], - deleteArchiveForAuthenticatedUser: ["DELETE /user/migrations/{migration_id}/archive"], - deleteArchiveForOrg: ["DELETE /orgs/{org}/migrations/{migration_id}/archive"], - downloadArchiveForOrg: ["GET /orgs/{org}/migrations/{migration_id}/archive"], - getArchiveForAuthenticatedUser: ["GET /user/migrations/{migration_id}/archive"], - getCommitAuthors: ["GET /repos/{owner}/{repo}/import/authors"], - getImportStatus: ["GET /repos/{owner}/{repo}/import"], - getLargeFiles: ["GET /repos/{owner}/{repo}/import/large_files"], - getStatusForAuthenticatedUser: ["GET /user/migrations/{migration_id}"], - getStatusForOrg: ["GET /orgs/{org}/migrations/{migration_id}"], - listForAuthenticatedUser: ["GET /user/migrations"], - listForOrg: ["GET /orgs/{org}/migrations"], - listReposForAuthenticatedUser: ["GET /user/migrations/{migration_id}/repositories"], - listReposForOrg: ["GET /orgs/{org}/migrations/{migration_id}/repositories"], - listReposForUser: ["GET /user/migrations/{migration_id}/repositories", {}, { - renamed: ["migrations", "listReposForAuthenticatedUser"] - }], - mapCommitAuthor: ["PATCH /repos/{owner}/{repo}/import/authors/{author_id}"], - setLfsPreference: ["PATCH /repos/{owner}/{repo}/import/lfs"], - startForAuthenticatedUser: ["POST /user/migrations"], - startForOrg: ["POST /orgs/{org}/migrations"], - startImport: ["PUT /repos/{owner}/{repo}/import"], - unlockRepoForAuthenticatedUser: ["DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock"], - unlockRepoForOrg: ["DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock"], - updateImport: ["PATCH /repos/{owner}/{repo}/import"] - }, - orgs: { - blockUser: ["PUT /orgs/{org}/blocks/{username}"], - cancelInvitation: ["DELETE /orgs/{org}/invitations/{invitation_id}"], - checkBlockedUser: ["GET /orgs/{org}/blocks/{username}"], - checkMembershipForUser: ["GET /orgs/{org}/members/{username}"], - checkPublicMembershipForUser: ["GET /orgs/{org}/public_members/{username}"], - convertMemberToOutsideCollaborator: ["PUT /orgs/{org}/outside_collaborators/{username}"], - createInvitation: ["POST /orgs/{org}/invitations"], - createWebhook: ["POST /orgs/{org}/hooks"], - deleteWebhook: ["DELETE /orgs/{org}/hooks/{hook_id}"], - get: ["GET /orgs/{org}"], - getMembershipForAuthenticatedUser: ["GET /user/memberships/orgs/{org}"], - getMembershipForUser: ["GET /orgs/{org}/memberships/{username}"], - getWebhook: ["GET /orgs/{org}/hooks/{hook_id}"], - getWebhookConfigForOrg: ["GET /orgs/{org}/hooks/{hook_id}/config"], - getWebhookDelivery: ["GET /orgs/{org}/hooks/{hook_id}/deliveries/{delivery_id}"], - list: ["GET /organizations"], - listAppInstallations: ["GET /orgs/{org}/installations"], - listBlockedUsers: ["GET /orgs/{org}/blocks"], - listFailedInvitations: ["GET /orgs/{org}/failed_invitations"], - listForAuthenticatedUser: ["GET /user/orgs"], - listForUser: ["GET /users/{username}/orgs"], - listInvitationTeams: ["GET /orgs/{org}/invitations/{invitation_id}/teams"], - listMembers: ["GET /orgs/{org}/members"], - listMembershipsForAuthenticatedUser: ["GET /user/memberships/orgs"], - listOutsideCollaborators: ["GET /orgs/{org}/outside_collaborators"], - listPendingInvitations: ["GET /orgs/{org}/invitations"], - listPublicMembers: ["GET /orgs/{org}/public_members"], - listWebhookDeliveries: ["GET /orgs/{org}/hooks/{hook_id}/deliveries"], - listWebhooks: ["GET /orgs/{org}/hooks"], - pingWebhook: ["POST /orgs/{org}/hooks/{hook_id}/pings"], - redeliverWebhookDelivery: ["POST /orgs/{org}/hooks/{hook_id}/deliveries/{delivery_id}/attempts"], - removeMember: ["DELETE /orgs/{org}/members/{username}"], - removeMembershipForUser: ["DELETE /orgs/{org}/memberships/{username}"], - removeOutsideCollaborator: ["DELETE /orgs/{org}/outside_collaborators/{username}"], - removePublicMembershipForAuthenticatedUser: ["DELETE /orgs/{org}/public_members/{username}"], - setMembershipForUser: ["PUT /orgs/{org}/memberships/{username}"], - setPublicMembershipForAuthenticatedUser: ["PUT /orgs/{org}/public_members/{username}"], - unblockUser: ["DELETE /orgs/{org}/blocks/{username}"], - update: ["PATCH /orgs/{org}"], - updateMembershipForAuthenticatedUser: ["PATCH /user/memberships/orgs/{org}"], - updateWebhook: ["PATCH /orgs/{org}/hooks/{hook_id}"], - updateWebhookConfigForOrg: ["PATCH /orgs/{org}/hooks/{hook_id}/config"] - }, - packages: { - deletePackageForAuthenticatedUser: ["DELETE /user/packages/{package_type}/{package_name}"], - deletePackageForOrg: ["DELETE /orgs/{org}/packages/{package_type}/{package_name}"], - deletePackageForUser: ["DELETE /users/{username}/packages/{package_type}/{package_name}"], - deletePackageVersionForAuthenticatedUser: ["DELETE /user/packages/{package_type}/{package_name}/versions/{package_version_id}"], - deletePackageVersionForOrg: ["DELETE /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}"], - deletePackageVersionForUser: ["DELETE /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}"], - getAllPackageVersionsForAPackageOwnedByAnOrg: ["GET /orgs/{org}/packages/{package_type}/{package_name}/versions", {}, { - renamed: ["packages", "getAllPackageVersionsForPackageOwnedByOrg"] - }], - getAllPackageVersionsForAPackageOwnedByTheAuthenticatedUser: ["GET /user/packages/{package_type}/{package_name}/versions", {}, { - renamed: ["packages", "getAllPackageVersionsForPackageOwnedByAuthenticatedUser"] - }], - getAllPackageVersionsForPackageOwnedByAuthenticatedUser: ["GET /user/packages/{package_type}/{package_name}/versions"], - getAllPackageVersionsForPackageOwnedByOrg: ["GET /orgs/{org}/packages/{package_type}/{package_name}/versions"], - getAllPackageVersionsForPackageOwnedByUser: ["GET /users/{username}/packages/{package_type}/{package_name}/versions"], - getPackageForAuthenticatedUser: ["GET /user/packages/{package_type}/{package_name}"], - getPackageForOrganization: ["GET /orgs/{org}/packages/{package_type}/{package_name}"], - getPackageForUser: ["GET /users/{username}/packages/{package_type}/{package_name}"], - getPackageVersionForAuthenticatedUser: ["GET /user/packages/{package_type}/{package_name}/versions/{package_version_id}"], - getPackageVersionForOrganization: ["GET /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}"], - getPackageVersionForUser: ["GET /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}"], - listPackagesForAuthenticatedUser: ["GET /user/packages"], - listPackagesForOrganization: ["GET /orgs/{org}/packages"], - listPackagesForUser: ["GET /users/{username}/packages"], - restorePackageForAuthenticatedUser: ["POST /user/packages/{package_type}/{package_name}/restore{?token}"], - restorePackageForOrg: ["POST /orgs/{org}/packages/{package_type}/{package_name}/restore{?token}"], - restorePackageForUser: ["POST /users/{username}/packages/{package_type}/{package_name}/restore{?token}"], - restorePackageVersionForAuthenticatedUser: ["POST /user/packages/{package_type}/{package_name}/versions/{package_version_id}/restore"], - restorePackageVersionForOrg: ["POST /orgs/{org}/packages/{package_type}/{package_name}/versions/{package_version_id}/restore"], - restorePackageVersionForUser: ["POST /users/{username}/packages/{package_type}/{package_name}/versions/{package_version_id}/restore"] - }, - projects: { - addCollaborator: ["PUT /projects/{project_id}/collaborators/{username}"], - createCard: ["POST /projects/columns/{column_id}/cards"], - createColumn: ["POST /projects/{project_id}/columns"], - createForAuthenticatedUser: ["POST /user/projects"], - createForOrg: ["POST /orgs/{org}/projects"], - createForRepo: ["POST /repos/{owner}/{repo}/projects"], - delete: ["DELETE /projects/{project_id}"], - deleteCard: ["DELETE /projects/columns/cards/{card_id}"], - deleteColumn: ["DELETE /projects/columns/{column_id}"], - get: ["GET /projects/{project_id}"], - getCard: ["GET /projects/columns/cards/{card_id}"], - getColumn: ["GET /projects/columns/{column_id}"], - getPermissionForUser: ["GET /projects/{project_id}/collaborators/{username}/permission"], - listCards: ["GET /projects/columns/{column_id}/cards"], - listCollaborators: ["GET /projects/{project_id}/collaborators"], - listColumns: ["GET /projects/{project_id}/columns"], - listForOrg: ["GET /orgs/{org}/projects"], - listForRepo: ["GET /repos/{owner}/{repo}/projects"], - listForUser: ["GET /users/{username}/projects"], - moveCard: ["POST /projects/columns/cards/{card_id}/moves"], - moveColumn: ["POST /projects/columns/{column_id}/moves"], - removeCollaborator: ["DELETE /projects/{project_id}/collaborators/{username}"], - update: ["PATCH /projects/{project_id}"], - updateCard: ["PATCH /projects/columns/cards/{card_id}"], - updateColumn: ["PATCH /projects/columns/{column_id}"] - }, - pulls: { - checkIfMerged: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/merge"], - create: ["POST /repos/{owner}/{repo}/pulls"], - createReplyForReviewComment: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies"], - createReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews"], - createReviewComment: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/comments"], - deletePendingReview: ["DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"], - deleteReviewComment: ["DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}"], - dismissReview: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals"], - get: ["GET /repos/{owner}/{repo}/pulls/{pull_number}"], - getReview: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"], - getReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}"], - list: ["GET /repos/{owner}/{repo}/pulls"], - listCommentsForReview: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments"], - listCommits: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/commits"], - listFiles: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/files"], - listRequestedReviewers: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"], - listReviewComments: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/comments"], - listReviewCommentsForRepo: ["GET /repos/{owner}/{repo}/pulls/comments"], - listReviews: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews"], - merge: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge"], - removeRequestedReviewers: ["DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"], - requestReviewers: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"], - submitReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events"], - update: ["PATCH /repos/{owner}/{repo}/pulls/{pull_number}"], - updateBranch: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch"], - updateReview: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"], - updateReviewComment: ["PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}"] - }, - rateLimit: { - get: ["GET /rate_limit"] - }, - reactions: { - createForCommitComment: ["POST /repos/{owner}/{repo}/comments/{comment_id}/reactions"], - createForIssue: ["POST /repos/{owner}/{repo}/issues/{issue_number}/reactions"], - createForIssueComment: ["POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions"], - createForPullRequestReviewComment: ["POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions"], - createForRelease: ["POST /repos/{owner}/{repo}/releases/{release_id}/reactions"], - createForTeamDiscussionCommentInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions"], - createForTeamDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions"], - deleteForCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}"], - deleteForIssue: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}"], - deleteForIssueComment: ["DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}"], - deleteForPullRequestComment: ["DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}"], - deleteForTeamDiscussion: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}"], - deleteForTeamDiscussionComment: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}"], - listForCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}/reactions"], - listForIssue: ["GET /repos/{owner}/{repo}/issues/{issue_number}/reactions"], - listForIssueComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions"], - listForPullRequestReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions"], - listForTeamDiscussionCommentInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions"], - listForTeamDiscussionInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions"] - }, - repos: { - acceptInvitation: ["PATCH /user/repository_invitations/{invitation_id}", {}, { - renamed: ["repos", "acceptInvitationForAuthenticatedUser"] - }], - acceptInvitationForAuthenticatedUser: ["PATCH /user/repository_invitations/{invitation_id}"], - addAppAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, { - mapToData: "apps" - }], - addCollaborator: ["PUT /repos/{owner}/{repo}/collaborators/{username}"], - addStatusCheckContexts: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, { - mapToData: "contexts" - }], - addTeamAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, { - mapToData: "teams" - }], - addUserAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, { - mapToData: "users" - }], - checkCollaborator: ["GET /repos/{owner}/{repo}/collaborators/{username}"], - checkVulnerabilityAlerts: ["GET /repos/{owner}/{repo}/vulnerability-alerts"], - compareCommits: ["GET /repos/{owner}/{repo}/compare/{base}...{head}"], - compareCommitsWithBasehead: ["GET /repos/{owner}/{repo}/compare/{basehead}"], - createAutolink: ["POST /repos/{owner}/{repo}/autolinks"], - createCommitComment: ["POST /repos/{owner}/{repo}/commits/{commit_sha}/comments"], - createCommitSignatureProtection: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures"], - createCommitStatus: ["POST /repos/{owner}/{repo}/statuses/{sha}"], - createDeployKey: ["POST /repos/{owner}/{repo}/keys"], - createDeployment: ["POST /repos/{owner}/{repo}/deployments"], - createDeploymentStatus: ["POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses"], - createDispatchEvent: ["POST /repos/{owner}/{repo}/dispatches"], - createForAuthenticatedUser: ["POST /user/repos"], - createFork: ["POST /repos/{owner}/{repo}/forks"], - createInOrg: ["POST /orgs/{org}/repos"], - createOrUpdateEnvironment: ["PUT /repos/{owner}/{repo}/environments/{environment_name}"], - createOrUpdateFileContents: ["PUT /repos/{owner}/{repo}/contents/{path}"], - createPagesSite: ["POST /repos/{owner}/{repo}/pages"], - createRelease: ["POST /repos/{owner}/{repo}/releases"], - createUsingTemplate: ["POST /repos/{template_owner}/{template_repo}/generate"], - createWebhook: ["POST /repos/{owner}/{repo}/hooks"], - declineInvitation: ["DELETE /user/repository_invitations/{invitation_id}", {}, { - renamed: ["repos", "declineInvitationForAuthenticatedUser"] - }], - declineInvitationForAuthenticatedUser: ["DELETE /user/repository_invitations/{invitation_id}"], - delete: ["DELETE /repos/{owner}/{repo}"], - deleteAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions"], - deleteAdminBranchProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"], - deleteAnEnvironment: ["DELETE /repos/{owner}/{repo}/environments/{environment_name}"], - deleteAutolink: ["DELETE /repos/{owner}/{repo}/autolinks/{autolink_id}"], - deleteBranchProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection"], - deleteCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}"], - deleteCommitSignatureProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures"], - deleteDeployKey: ["DELETE /repos/{owner}/{repo}/keys/{key_id}"], - deleteDeployment: ["DELETE /repos/{owner}/{repo}/deployments/{deployment_id}"], - deleteFile: ["DELETE /repos/{owner}/{repo}/contents/{path}"], - deleteInvitation: ["DELETE /repos/{owner}/{repo}/invitations/{invitation_id}"], - deletePagesSite: ["DELETE /repos/{owner}/{repo}/pages"], - deletePullRequestReviewProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"], - deleteRelease: ["DELETE /repos/{owner}/{repo}/releases/{release_id}"], - deleteReleaseAsset: ["DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}"], - deleteWebhook: ["DELETE /repos/{owner}/{repo}/hooks/{hook_id}"], - disableAutomatedSecurityFixes: ["DELETE /repos/{owner}/{repo}/automated-security-fixes"], - disableLfsForRepo: ["DELETE /repos/{owner}/{repo}/lfs"], - disableVulnerabilityAlerts: ["DELETE /repos/{owner}/{repo}/vulnerability-alerts"], - downloadArchive: ["GET /repos/{owner}/{repo}/zipball/{ref}", {}, { - renamed: ["repos", "downloadZipballArchive"] - }], - downloadTarballArchive: ["GET /repos/{owner}/{repo}/tarball/{ref}"], - downloadZipballArchive: ["GET /repos/{owner}/{repo}/zipball/{ref}"], - enableAutomatedSecurityFixes: ["PUT /repos/{owner}/{repo}/automated-security-fixes"], - enableLfsForRepo: ["PUT /repos/{owner}/{repo}/lfs"], - enableVulnerabilityAlerts: ["PUT /repos/{owner}/{repo}/vulnerability-alerts"], - generateReleaseNotes: ["POST /repos/{owner}/{repo}/releases/generate-notes"], - get: ["GET /repos/{owner}/{repo}"], - getAccessRestrictions: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions"], - getAdminBranchProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"], - getAllEnvironments: ["GET /repos/{owner}/{repo}/environments"], - getAllStatusCheckContexts: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts"], - getAllTopics: ["GET /repos/{owner}/{repo}/topics", { - mediaType: { - previews: ["mercy"] - } - }], - getAppsWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps"], - getAutolink: ["GET /repos/{owner}/{repo}/autolinks/{autolink_id}"], - getBranch: ["GET /repos/{owner}/{repo}/branches/{branch}"], - getBranchProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection"], - getClones: ["GET /repos/{owner}/{repo}/traffic/clones"], - getCodeFrequencyStats: ["GET /repos/{owner}/{repo}/stats/code_frequency"], - getCollaboratorPermissionLevel: ["GET /repos/{owner}/{repo}/collaborators/{username}/permission"], - getCombinedStatusForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/status"], - getCommit: ["GET /repos/{owner}/{repo}/commits/{ref}"], - getCommitActivityStats: ["GET /repos/{owner}/{repo}/stats/commit_activity"], - getCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}"], - getCommitSignatureProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures"], - getCommunityProfileMetrics: ["GET /repos/{owner}/{repo}/community/profile"], - getContent: ["GET /repos/{owner}/{repo}/contents/{path}"], - getContributorsStats: ["GET /repos/{owner}/{repo}/stats/contributors"], - getDeployKey: ["GET /repos/{owner}/{repo}/keys/{key_id}"], - getDeployment: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}"], - getDeploymentStatus: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}"], - getEnvironment: ["GET /repos/{owner}/{repo}/environments/{environment_name}"], - getLatestPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/latest"], - getLatestRelease: ["GET /repos/{owner}/{repo}/releases/latest"], - getPages: ["GET /repos/{owner}/{repo}/pages"], - getPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/{build_id}"], - getPagesHealthCheck: ["GET /repos/{owner}/{repo}/pages/health"], - getParticipationStats: ["GET /repos/{owner}/{repo}/stats/participation"], - getPullRequestReviewProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"], - getPunchCardStats: ["GET /repos/{owner}/{repo}/stats/punch_card"], - getReadme: ["GET /repos/{owner}/{repo}/readme"], - getReadmeInDirectory: ["GET /repos/{owner}/{repo}/readme/{dir}"], - getRelease: ["GET /repos/{owner}/{repo}/releases/{release_id}"], - getReleaseAsset: ["GET /repos/{owner}/{repo}/releases/assets/{asset_id}"], - getReleaseByTag: ["GET /repos/{owner}/{repo}/releases/tags/{tag}"], - getStatusChecksProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"], - getTeamsWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams"], - getTopPaths: ["GET /repos/{owner}/{repo}/traffic/popular/paths"], - getTopReferrers: ["GET /repos/{owner}/{repo}/traffic/popular/referrers"], - getUsersWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users"], - getViews: ["GET /repos/{owner}/{repo}/traffic/views"], - getWebhook: ["GET /repos/{owner}/{repo}/hooks/{hook_id}"], - getWebhookConfigForRepo: ["GET /repos/{owner}/{repo}/hooks/{hook_id}/config"], - getWebhookDelivery: ["GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries/{delivery_id}"], - listAutolinks: ["GET /repos/{owner}/{repo}/autolinks"], - listBranches: ["GET /repos/{owner}/{repo}/branches"], - listBranchesForHeadCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head"], - listCollaborators: ["GET /repos/{owner}/{repo}/collaborators"], - listCommentsForCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/comments"], - listCommitCommentsForRepo: ["GET /repos/{owner}/{repo}/comments"], - listCommitStatusesForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/statuses"], - listCommits: ["GET /repos/{owner}/{repo}/commits"], - listContributors: ["GET /repos/{owner}/{repo}/contributors"], - listDeployKeys: ["GET /repos/{owner}/{repo}/keys"], - listDeploymentStatuses: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses"], - listDeployments: ["GET /repos/{owner}/{repo}/deployments"], - listForAuthenticatedUser: ["GET /user/repos"], - listForOrg: ["GET /orgs/{org}/repos"], - listForUser: ["GET /users/{username}/repos"], - listForks: ["GET /repos/{owner}/{repo}/forks"], - listInvitations: ["GET /repos/{owner}/{repo}/invitations"], - listInvitationsForAuthenticatedUser: ["GET /user/repository_invitations"], - listLanguages: ["GET /repos/{owner}/{repo}/languages"], - listPagesBuilds: ["GET /repos/{owner}/{repo}/pages/builds"], - listPublic: ["GET /repositories"], - listPullRequestsAssociatedWithCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls"], - listReleaseAssets: ["GET /repos/{owner}/{repo}/releases/{release_id}/assets"], - listReleases: ["GET /repos/{owner}/{repo}/releases"], - listTags: ["GET /repos/{owner}/{repo}/tags"], - listTeams: ["GET /repos/{owner}/{repo}/teams"], - listWebhookDeliveries: ["GET /repos/{owner}/{repo}/hooks/{hook_id}/deliveries"], - listWebhooks: ["GET /repos/{owner}/{repo}/hooks"], - merge: ["POST /repos/{owner}/{repo}/merges"], - mergeUpstream: ["POST /repos/{owner}/{repo}/merge-upstream"], - pingWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/pings"], - redeliverWebhookDelivery: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/deliveries/{delivery_id}/attempts"], - removeAppAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, { - mapToData: "apps" - }], - removeCollaborator: ["DELETE /repos/{owner}/{repo}/collaborators/{username}"], - removeStatusCheckContexts: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, { - mapToData: "contexts" - }], - removeStatusCheckProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"], - removeTeamAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, { - mapToData: "teams" - }], - removeUserAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, { - mapToData: "users" - }], - renameBranch: ["POST /repos/{owner}/{repo}/branches/{branch}/rename"], - replaceAllTopics: ["PUT /repos/{owner}/{repo}/topics", { - mediaType: { - previews: ["mercy"] - } - }], - requestPagesBuild: ["POST /repos/{owner}/{repo}/pages/builds"], - setAdminBranchProtection: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"], - setAppAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, { - mapToData: "apps" - }], - setStatusCheckContexts: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, { - mapToData: "contexts" - }], - setTeamAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, { - mapToData: "teams" - }], - setUserAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, { - mapToData: "users" - }], - testPushWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/tests"], - transfer: ["POST /repos/{owner}/{repo}/transfer"], - update: ["PATCH /repos/{owner}/{repo}"], - updateBranchProtection: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection"], - updateCommitComment: ["PATCH /repos/{owner}/{repo}/comments/{comment_id}"], - updateInformationAboutPagesSite: ["PUT /repos/{owner}/{repo}/pages"], - updateInvitation: ["PATCH /repos/{owner}/{repo}/invitations/{invitation_id}"], - updatePullRequestReviewProtection: ["PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"], - updateRelease: ["PATCH /repos/{owner}/{repo}/releases/{release_id}"], - updateReleaseAsset: ["PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}"], - updateStatusCheckPotection: ["PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks", {}, { - renamed: ["repos", "updateStatusCheckProtection"] - }], - updateStatusCheckProtection: ["PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"], - updateWebhook: ["PATCH /repos/{owner}/{repo}/hooks/{hook_id}"], - updateWebhookConfigForRepo: ["PATCH /repos/{owner}/{repo}/hooks/{hook_id}/config"], - uploadReleaseAsset: ["POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}", { - baseUrl: "https://uploads.github.com" - }] - }, - search: { - code: ["GET /search/code"], - commits: ["GET /search/commits"], - issuesAndPullRequests: ["GET /search/issues"], - labels: ["GET /search/labels"], - repos: ["GET /search/repositories"], - topics: ["GET /search/topics", { - mediaType: { - previews: ["mercy"] - } - }], - users: ["GET /search/users"] - }, - secretScanning: { - getAlert: ["GET /repos/{owner}/{repo}/secret-scanning/alerts/{alert_number}"], - listAlertsForOrg: ["GET /orgs/{org}/secret-scanning/alerts"], - listAlertsForRepo: ["GET /repos/{owner}/{repo}/secret-scanning/alerts"], - updateAlert: ["PATCH /repos/{owner}/{repo}/secret-scanning/alerts/{alert_number}"] - }, - teams: { - addOrUpdateMembershipForUserInOrg: ["PUT /orgs/{org}/teams/{team_slug}/memberships/{username}"], - addOrUpdateProjectPermissionsInOrg: ["PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}"], - addOrUpdateRepoPermissionsInOrg: ["PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"], - checkPermissionsForProjectInOrg: ["GET /orgs/{org}/teams/{team_slug}/projects/{project_id}"], - checkPermissionsForRepoInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"], - create: ["POST /orgs/{org}/teams"], - createDiscussionCommentInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments"], - createDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions"], - deleteDiscussionCommentInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"], - deleteDiscussionInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"], - deleteInOrg: ["DELETE /orgs/{org}/teams/{team_slug}"], - getByName: ["GET /orgs/{org}/teams/{team_slug}"], - getDiscussionCommentInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"], - getDiscussionInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"], - getMembershipForUserInOrg: ["GET /orgs/{org}/teams/{team_slug}/memberships/{username}"], - list: ["GET /orgs/{org}/teams"], - listChildInOrg: ["GET /orgs/{org}/teams/{team_slug}/teams"], - listDiscussionCommentsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments"], - listDiscussionsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions"], - listForAuthenticatedUser: ["GET /user/teams"], - listMembersInOrg: ["GET /orgs/{org}/teams/{team_slug}/members"], - listPendingInvitationsInOrg: ["GET /orgs/{org}/teams/{team_slug}/invitations"], - listProjectsInOrg: ["GET /orgs/{org}/teams/{team_slug}/projects"], - listReposInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos"], - removeMembershipForUserInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}"], - removeProjectInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}"], - removeRepoInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"], - updateDiscussionCommentInOrg: ["PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"], - updateDiscussionInOrg: ["PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"], - updateInOrg: ["PATCH /orgs/{org}/teams/{team_slug}"] - }, - users: { - addEmailForAuthenticated: ["POST /user/emails", {}, { - renamed: ["users", "addEmailForAuthenticatedUser"] - }], - addEmailForAuthenticatedUser: ["POST /user/emails"], - block: ["PUT /user/blocks/{username}"], - checkBlocked: ["GET /user/blocks/{username}"], - checkFollowingForUser: ["GET /users/{username}/following/{target_user}"], - checkPersonIsFollowedByAuthenticated: ["GET /user/following/{username}"], - createGpgKeyForAuthenticated: ["POST /user/gpg_keys", {}, { - renamed: ["users", "createGpgKeyForAuthenticatedUser"] - }], - createGpgKeyForAuthenticatedUser: ["POST /user/gpg_keys"], - createPublicSshKeyForAuthenticated: ["POST /user/keys", {}, { - renamed: ["users", "createPublicSshKeyForAuthenticatedUser"] - }], - createPublicSshKeyForAuthenticatedUser: ["POST /user/keys"], - deleteEmailForAuthenticated: ["DELETE /user/emails", {}, { - renamed: ["users", "deleteEmailForAuthenticatedUser"] - }], - deleteEmailForAuthenticatedUser: ["DELETE /user/emails"], - deleteGpgKeyForAuthenticated: ["DELETE /user/gpg_keys/{gpg_key_id}", {}, { - renamed: ["users", "deleteGpgKeyForAuthenticatedUser"] - }], - deleteGpgKeyForAuthenticatedUser: ["DELETE /user/gpg_keys/{gpg_key_id}"], - deletePublicSshKeyForAuthenticated: ["DELETE /user/keys/{key_id}", {}, { - renamed: ["users", "deletePublicSshKeyForAuthenticatedUser"] - }], - deletePublicSshKeyForAuthenticatedUser: ["DELETE /user/keys/{key_id}"], - follow: ["PUT /user/following/{username}"], - getAuthenticated: ["GET /user"], - getByUsername: ["GET /users/{username}"], - getContextForUser: ["GET /users/{username}/hovercard"], - getGpgKeyForAuthenticated: ["GET /user/gpg_keys/{gpg_key_id}", {}, { - renamed: ["users", "getGpgKeyForAuthenticatedUser"] - }], - getGpgKeyForAuthenticatedUser: ["GET /user/gpg_keys/{gpg_key_id}"], - getPublicSshKeyForAuthenticated: ["GET /user/keys/{key_id}", {}, { - renamed: ["users", "getPublicSshKeyForAuthenticatedUser"] - }], - getPublicSshKeyForAuthenticatedUser: ["GET /user/keys/{key_id}"], - list: ["GET /users"], - listBlockedByAuthenticated: ["GET /user/blocks", {}, { - renamed: ["users", "listBlockedByAuthenticatedUser"] - }], - listBlockedByAuthenticatedUser: ["GET /user/blocks"], - listEmailsForAuthenticated: ["GET /user/emails", {}, { - renamed: ["users", "listEmailsForAuthenticatedUser"] - }], - listEmailsForAuthenticatedUser: ["GET /user/emails"], - listFollowedByAuthenticated: ["GET /user/following", {}, { - renamed: ["users", "listFollowedByAuthenticatedUser"] - }], - listFollowedByAuthenticatedUser: ["GET /user/following"], - listFollowersForAuthenticatedUser: ["GET /user/followers"], - listFollowersForUser: ["GET /users/{username}/followers"], - listFollowingForUser: ["GET /users/{username}/following"], - listGpgKeysForAuthenticated: ["GET /user/gpg_keys", {}, { - renamed: ["users", "listGpgKeysForAuthenticatedUser"] - }], - listGpgKeysForAuthenticatedUser: ["GET /user/gpg_keys"], - listGpgKeysForUser: ["GET /users/{username}/gpg_keys"], - listPublicEmailsForAuthenticated: ["GET /user/public_emails", {}, { - renamed: ["users", "listPublicEmailsForAuthenticatedUser"] - }], - listPublicEmailsForAuthenticatedUser: ["GET /user/public_emails"], - listPublicKeysForUser: ["GET /users/{username}/keys"], - listPublicSshKeysForAuthenticated: ["GET /user/keys", {}, { - renamed: ["users", "listPublicSshKeysForAuthenticatedUser"] - }], - listPublicSshKeysForAuthenticatedUser: ["GET /user/keys"], - setPrimaryEmailVisibilityForAuthenticated: ["PATCH /user/email/visibility", {}, { - renamed: ["users", "setPrimaryEmailVisibilityForAuthenticatedUser"] - }], - setPrimaryEmailVisibilityForAuthenticatedUser: ["PATCH /user/email/visibility"], - unblock: ["DELETE /user/blocks/{username}"], - unfollow: ["DELETE /user/following/{username}"], - updateAuthenticated: ["PATCH /user"] - } -}; -const VERSION = "5.13.0"; + return Promise.resolve().then(function() { + if (!state.registry[name]) { + return method(options); + } + + return state.registry[name].reduce(function(method, registered) { + return registered.hook.bind(null, method, options); + }, method)(); + }); + } -function endpointsToMethods(octokit, endpointsMap) { - const newMethods = {}; + /***/ }), - for (const [scope, endpoints] of Object.entries(endpointsMap)) { - for (const [methodName, endpoint] of Object.entries(endpoints)) { - const [route, defaults, decorations] = endpoint; - const [method, url] = route.split(/ /); - const endpointDefaults = Object.assign({ - method, - url - }, defaults); +/***/ 6819: +/***/ ((module) => { + module.exports = removeHook; - if (!newMethods[scope]) { - newMethods[scope] = {}; + function removeHook(state, name, method) { + if (!state.registry[name]) { + return; } - const scopeMethods = newMethods[scope]; + var index = state.registry[name] + .map(function(registered) { + return registered.orig; + }) + .indexOf(method); - if (decorations) { - scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations); - continue; + if (index === -1) { + return; } - scopeMethods[methodName] = octokit.request.defaults(endpointDefaults); + state.registry[name].splice(index, 1); } - } - - return newMethods; -} -function decorate(octokit, scope, methodName, defaults, decorations) { - const requestWithDefaults = octokit.request.defaults(defaults); - /* istanbul ignore next */ + /***/ }), - function withDecorations(...args) { - // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 - let options = requestWithDefaults.endpoint.merge(...args); // There are currently no other decorations than `.mapToData` +/***/ 8932: +/***/ ((__unused_webpack_module, exports) => { + "use strict"; - if (decorations.mapToData) { - options = Object.assign({}, options, { - data: options[decorations.mapToData], - [decorations.mapToData]: undefined - }); - return requestWithDefaults(options); - } + Object.defineProperty(exports, "__esModule", ({value : true})); - if (decorations.renamed) { - const [newScope, newMethodName] = decorations.renamed; - octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`); - } + class Deprecation extends Error { + constructor(message) { + super(message); // Maintains proper stack trace (only available on V8) - if (decorations.deprecated) { - octokit.log.warn(decorations.deprecated); - } + /* istanbul ignore next */ - if (decorations.renamedParameters) { - // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 - const options = requestWithDefaults.endpoint.merge(...args); + if (Error.captureStackTrace) { + Error.captureStackTrace(this, this.constructor); + } - for (const [name, alias] of Object.entries(decorations.renamedParameters)) { - if (name in options) { - octokit.log.warn(`"${name}" parameter is deprecated for "octokit.${scope}.${methodName}()". Use "${alias}" instead`); + this.name = 'Deprecation'; + } + } - if (!(alias in options)) { - options[alias] = options[name]; - } + exports.Deprecation = Deprecation; - delete options[name]; - } - } + /***/ }), - return requestWithDefaults(options); - } // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488 +/***/ 3287: +/***/ ((__unused_webpack_module, exports) => { + "use strict"; + Object.defineProperty(exports, "__esModule", ({value : true})); - return requestWithDefaults(...args); - } + /*! + * is-plain-object + * + * Copyright (c) 2014-2017, Jon Schlinkert. + * Released under the MIT License. + */ - return Object.assign(withDecorations, requestWithDefaults); -} + function isObject(o) { + return Object.prototype.toString.call(o) === '[object Object]'; + } -function restEndpointMethods(octokit) { - const api = endpointsToMethods(octokit, Endpoints); - return { - rest: api - }; -} -restEndpointMethods.VERSION = VERSION; -function legacyRestEndpointMethods(octokit) { - const api = endpointsToMethods(octokit, Endpoints); - return _objectSpread2(_objectSpread2({}, api), {}, { - rest: api - }); -} -legacyRestEndpointMethods.VERSION = VERSION; + function isPlainObject(o) { + var ctor, prot; -exports.legacyRestEndpointMethods = legacyRestEndpointMethods; -exports.restEndpointMethods = restEndpointMethods; -//# sourceMappingURL=index.js.map + if (isObject(o) === false) + return false; + // If has modified constructor + ctor = o.constructor; + if (ctor === undefined) + return true; -/***/ }), + // If has modified prototype + prot = ctor.prototype; + if (isObject(prot) === false) + return false; -/***/ 537: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + // If constructor does not have an Object-specific method + if (prot.hasOwnProperty('isPrototypeOf') === false) { + return false; + } -"use strict"; + // Most likely a plain Object + return true; + } + exports.isPlainObject = isPlainObject; -Object.defineProperty(exports, "__esModule", ({ value: true })); + /***/ }), -function _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; } +/***/ 1917: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var loader = __nccwpck_require__(1161); + var dumper = __nccwpck_require__(8866); + + function renamed(from, to) { + return function() { + throw new Error( + 'Function yaml.' + from + ' is removed in js-yaml 4. ' + + 'Use yaml.' + to + ' instead, which is now safe by default.'); + }; + } + + module.exports.Type = __nccwpck_require__(6073); + module.exports.Schema = __nccwpck_require__(1082); + module.exports.FAILSAFE_SCHEMA = __nccwpck_require__(8562); + module.exports.JSON_SCHEMA = __nccwpck_require__(1035); + module.exports.CORE_SCHEMA = __nccwpck_require__(2011); + module.exports.DEFAULT_SCHEMA = __nccwpck_require__(8759); + module.exports.load = loader.load; + module.exports.loadAll = loader.loadAll; + module.exports.dump = dumper.dump; + module.exports.YAMLException = __nccwpck_require__(8179); + + // Re-export all types in case user wants to create custom schema + module.exports.types = { + binary : __nccwpck_require__(7900), + float : __nccwpck_require__(2705), + map : __nccwpck_require__(6150), + null : __nccwpck_require__(721), + pairs : __nccwpck_require__(6860), + set : __nccwpck_require__(9548), + timestamp : __nccwpck_require__(9212), + bool : __nccwpck_require__(4993), + int : __nccwpck_require__(1615), + merge : __nccwpck_require__(6104), + omap : __nccwpck_require__(9046), + seq : __nccwpck_require__(7283), + str : __nccwpck_require__(3619) + }; -var deprecation = __nccwpck_require__(8932); -var once = _interopDefault(__nccwpck_require__(1223)); + // Removed functions from JS-YAML 3.0.x + module.exports.safeLoad = renamed('safeLoad', 'load'); + module.exports.safeLoadAll = renamed('safeLoadAll', 'loadAll'); + module.exports.safeDump = renamed('safeDump', 'dump'); -const logOnceCode = once(deprecation => console.warn(deprecation)); -const logOnceHeaders = once(deprecation => console.warn(deprecation)); -/** - * Error with extra properties to help with debugging - */ + /***/ }), -class RequestError extends Error { - constructor(message, statusCode, options) { - super(message); // Maintains proper stack trace (only available on V8) +/***/ 6829: +/***/ ((module) => { + "use strict"; - /* istanbul ignore next */ + function isNothing(subject) { + return (typeof subject === 'undefined') || (subject === null); + } - if (Error.captureStackTrace) { - Error.captureStackTrace(this, this.constructor); + function isObject(subject) { + return (typeof subject === 'object') && (subject !== null); } - this.name = "HttpError"; - this.status = statusCode; - let headers; + function toArray(sequence) { + if (Array.isArray(sequence)) + return sequence; + else if (isNothing(sequence)) + return []; - if ("headers" in options && typeof options.headers !== "undefined") { - headers = options.headers; + return [ sequence ]; } - if ("response" in options) { - this.response = options.response; - headers = options.response.headers; - } // redact request credentials without mutating original request options + function extend(target, source) { + var index, length, key, sourceKeys; + if (source) { + sourceKeys = Object.keys(source); - const requestCopy = Object.assign({}, options.request); + for (index = 0, length = sourceKeys.length; index < length; index += 1) { + key = sourceKeys[index]; + target[key] = source[key]; + } + } - if (options.request.headers.authorization) { - requestCopy.headers = Object.assign({}, options.request.headers, { - authorization: options.request.headers.authorization.replace(/ .*$/, " [REDACTED]") - }); + return target; } - requestCopy.url = requestCopy.url // client_id & client_secret can be passed as URL query parameters to increase rate limit - // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications - .replace(/\bclient_secret=\w+/g, "client_secret=[REDACTED]") // OAuth tokens can be passed as URL query parameters, although it is not recommended - // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header - .replace(/\baccess_token=\w+/g, "access_token=[REDACTED]"); - this.request = requestCopy; // deprecations + function repeat(string, count) { + var result = '', cycle; - Object.defineProperty(this, "code", { - get() { - logOnceCode(new deprecation.Deprecation("[@octokit/request-error] `error.code` is deprecated, use `error.status`.")); - return statusCode; + for (cycle = 0; cycle < count; cycle += 1) { + result += string; } - }); - Object.defineProperty(this, "headers", { - get() { - logOnceHeaders(new deprecation.Deprecation("[@octokit/request-error] `error.headers` is deprecated, use `error.response.headers`.")); - return headers || {}; - } + return result; + } - }); - } + function isNegativeZero(number) { + return (number === 0) && (Number.NEGATIVE_INFINITY === 1 / number); + } -} + module.exports.isNothing = isNothing; + module.exports.isObject = isObject; + module.exports.toArray = toArray; + module.exports.repeat = repeat; + module.exports.isNegativeZero = isNegativeZero; + module.exports.extend = extend; + + /***/ }), -exports.RequestError = RequestError; -//# sourceMappingURL=index.js.map +/***/ 8866: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + /*eslint-disable no-use-before-define*/ + + var common = __nccwpck_require__(6829); + var YAMLException = __nccwpck_require__(8179); + var DEFAULT_SCHEMA = __nccwpck_require__(8759); + + var _toString = Object.prototype.toString; + var _hasOwnProperty = Object.prototype.hasOwnProperty; + + var CHAR_BOM = 0xFEFF; + var CHAR_TAB = 0x09; /* Tab */ + var CHAR_LINE_FEED = 0x0A; /* LF */ + var CHAR_CARRIAGE_RETURN = 0x0D; /* CR */ + var CHAR_SPACE = 0x20; /* Space */ + var CHAR_EXCLAMATION = 0x21; /* ! */ + var CHAR_DOUBLE_QUOTE = 0x22; /* " */ + var CHAR_SHARP = 0x23; /* # */ + var CHAR_PERCENT = 0x25; /* % */ + var CHAR_AMPERSAND = 0x26; /* & */ + var CHAR_SINGLE_QUOTE = 0x27; /* ' */ + var CHAR_ASTERISK = 0x2A; /* * */ + var CHAR_COMMA = 0x2C; /* , */ + var CHAR_MINUS = 0x2D; /* - */ + var CHAR_COLON = 0x3A; /* : */ + var CHAR_EQUALS = 0x3D; /* = */ + var CHAR_GREATER_THAN = 0x3E; /* > */ + var CHAR_QUESTION = 0x3F; /* ? */ + var CHAR_COMMERCIAL_AT = 0x40; /* @ */ + var CHAR_LEFT_SQUARE_BRACKET = 0x5B; /* [ */ + var CHAR_RIGHT_SQUARE_BRACKET = 0x5D; /* ] */ + var CHAR_GRAVE_ACCENT = 0x60; /* ` */ + var CHAR_LEFT_CURLY_BRACKET = 0x7B; /* { */ + var CHAR_VERTICAL_LINE = 0x7C; /* | */ + var CHAR_RIGHT_CURLY_BRACKET = 0x7D; /* } */ + + var ESCAPE_SEQUENCES = {}; + + ESCAPE_SEQUENCES[0x00] = '\\0'; + ESCAPE_SEQUENCES[0x07] = '\\a'; + ESCAPE_SEQUENCES[0x08] = '\\b'; + ESCAPE_SEQUENCES[0x09] = '\\t'; + ESCAPE_SEQUENCES[0x0A] = '\\n'; + ESCAPE_SEQUENCES[0x0B] = '\\v'; + ESCAPE_SEQUENCES[0x0C] = '\\f'; + ESCAPE_SEQUENCES[0x0D] = '\\r'; + ESCAPE_SEQUENCES[0x1B] = '\\e'; + ESCAPE_SEQUENCES[0x22] = '\\"'; + ESCAPE_SEQUENCES[0x5C] = '\\\\'; + ESCAPE_SEQUENCES[0x85] = '\\N'; + ESCAPE_SEQUENCES[0xA0] = '\\_'; + ESCAPE_SEQUENCES[0x2028] = '\\L'; + ESCAPE_SEQUENCES[0x2029] = '\\P'; + + var DEPRECATED_BOOLEANS_SYNTAX = + [ 'y', 'Y', 'yes', 'Yes', 'YES', 'on', 'On', 'ON', 'n', 'N', 'no', 'No', 'NO', 'off', 'Off', 'OFF' ]; + + var DEPRECATED_BASE60_SYNTAX = /^[-+]?[0-9_]+(?::[0-9_]+)+(?:\.[0-9_]*)?$/; + + function compileStyleMap(schema, map) { + var result, keys, index, length, tag, style, type; + + if (map === null) + return {}; + result = {}; + keys = Object.keys(map); -/***/ }), + for (index = 0, length = keys.length; index < length; index += 1) { + tag = keys[index]; + style = String(map[tag]); -/***/ 6234: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + if (tag.slice(0, 2) === '!!') { + tag = 'tag:yaml.org,2002:' + tag.slice(2); + } + type = schema.compiledTypeMap['fallback'][tag]; -"use strict"; + if (type && _hasOwnProperty.call(type.styleAliases, style)) { + style = type.styleAliases[style]; + } + result[tag] = style; + } -Object.defineProperty(exports, "__esModule", ({ value: true })); + return result; + } -function _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; } + function encodeHex(character) { + var string, handle, length; -var endpoint = __nccwpck_require__(9440); -var universalUserAgent = __nccwpck_require__(5030); -var isPlainObject = __nccwpck_require__(3287); -var nodeFetch = _interopDefault(__nccwpck_require__(467)); -var requestError = __nccwpck_require__(537); + string = character.toString(16).toUpperCase(); -const VERSION = "5.6.3"; + if (character <= 0xFF) { + handle = 'x'; + length = 2; + } else if (character <= 0xFFFF) { + handle = 'u'; + length = 4; + } else if (character <= 0xFFFFFFFF) { + handle = 'U'; + length = 8; + } else { + throw new YAMLException('code point within a string may not be greater than 0xFFFFFFFF'); + } -function getBufferResponse(response) { - return response.arrayBuffer(); -} + return '\\' + handle + common.repeat('0', length - string.length) + string; + } -function fetchWrapper(requestOptions) { - const log = requestOptions.request && requestOptions.request.log ? requestOptions.request.log : console; + var QUOTING_TYPE_SINGLE = 1, QUOTING_TYPE_DOUBLE = 2; - if (isPlainObject.isPlainObject(requestOptions.body) || Array.isArray(requestOptions.body)) { - requestOptions.body = JSON.stringify(requestOptions.body); - } + function State(options) { + this.schema = options['schema'] || DEFAULT_SCHEMA; + this.indent = Math.max(1, (options['indent'] || 2)); + this.noArrayIndent = options['noArrayIndent'] || false; + this.skipInvalid = options['skipInvalid'] || false; + this.flowLevel = (common.isNothing(options['flowLevel']) ? -1 : options['flowLevel']); + this.styleMap = compileStyleMap(this.schema, options['styles'] || null); + this.sortKeys = options['sortKeys'] || false; + this.lineWidth = options['lineWidth'] || 80; + this.noRefs = options['noRefs'] || false; + this.noCompatMode = options['noCompatMode'] || false; + this.condenseFlow = options['condenseFlow'] || false; + this.quotingType = options['quotingType'] === '"' ? QUOTING_TYPE_DOUBLE : QUOTING_TYPE_SINGLE; + this.forceQuotes = options['forceQuotes'] || false; + this.replacer = typeof options['replacer'] === 'function' ? options['replacer'] : null; - let headers = {}; - let status; - let url; - const fetch = requestOptions.request && requestOptions.request.fetch || nodeFetch; - return fetch(requestOptions.url, Object.assign({ - method: requestOptions.method, - body: requestOptions.body, - headers: requestOptions.headers, - redirect: requestOptions.redirect - }, // `requestOptions.request.agent` type is incompatible - // see https://github.com/octokit/types.ts/pull/264 - requestOptions.request)).then(async response => { - url = response.url; - status = response.status; + this.implicitTypes = this.schema.compiledImplicit; + this.explicitTypes = this.schema.compiledExplicit; - for (const keyAndValue of response.headers) { - headers[keyAndValue[0]] = keyAndValue[1]; - } + this.tag = null; + this.result = ''; - if ("deprecation" in headers) { - const matches = headers.link && headers.link.match(/<([^>]+)>; rel="deprecation"/); - const deprecationLink = matches && matches.pop(); - log.warn(`[@octokit/request] "${requestOptions.method} ${requestOptions.url}" is deprecated. It is scheduled to be removed on ${headers.sunset}${deprecationLink ? `. See ${deprecationLink}` : ""}`); + this.duplicates = []; + this.usedDuplicates = null; } - if (status === 204 || status === 205) { - return; - } // GitHub API returns 200 for HEAD requests + // Indents every line in a string. Empty lines (\n only) are not indented. + function indentString(string, spaces) { + var ind = common.repeat(' ', spaces), position = 0, next = -1, result = '', line, length = string.length; + while (position < length) { + next = string.indexOf('\n', position); + if (next === -1) { + line = string.slice(position); + position = length; + } else { + line = string.slice(position, next + 1); + position = next + 1; + } - if (requestOptions.method === "HEAD") { - if (status < 400) { - return; + if (line.length && line !== '\n') + result += ind; + + result += line; } - throw new requestError.RequestError(response.statusText, status, { - response: { - url, - status, - headers, - data: undefined - }, - request: requestOptions - }); + return result; } - if (status === 304) { - throw new requestError.RequestError("Not modified", status, { - response: { - url, - status, - headers, - data: await getResponseData(response) - }, - request: requestOptions - }); + function generateNextLine(state, level) { + return '\n' + common.repeat(' ', state.indent * level); } - if (status >= 400) { - const data = await getResponseData(response); - const error = new requestError.RequestError(toErrorMessage(data), status, { - response: { - url, - status, - headers, - data - }, - request: requestOptions - }); - throw error; - } + function testImplicitResolving(state, str) { + var index, length, type; - return getResponseData(response); - }).then(data => { - return { - status, - url, - headers, - data - }; - }).catch(error => { - if (error instanceof requestError.RequestError) throw error; - throw new requestError.RequestError(error.message, 500, { - request: requestOptions - }); - }); -} + for (index = 0, length = state.implicitTypes.length; index < length; index += 1) { + type = state.implicitTypes[index]; -async function getResponseData(response) { - const contentType = response.headers.get("content-type"); + if (type.resolve(str)) { + return true; + } + } - if (/application\/json/.test(contentType)) { - return response.json(); - } + return false; + } - if (!contentType || /^text\/|charset=utf-8$/.test(contentType)) { - return response.text(); - } + // [33] s-white ::= s-space | s-tab + function isWhitespace(c) { + return c === CHAR_SPACE || c === CHAR_TAB; + } + + // Returns true if the character can be printed without escaping. + // From YAML 1.2: "any allowed characters known to be non-printable + // should also be escaped. [However,] This isn’t mandatory" + // Derived from nb-char - \t - #x85 - #xA0 - #x2028 - #x2029. + function isPrintable(c) { + return (0x00020 <= c && c <= 0x00007E) || ((0x000A1 <= c && c <= 0x00D7FF) && c !== 0x2028 && c !== 0x2029) || + ((0x0E000 <= c && c <= 0x00FFFD) && c !== CHAR_BOM) || (0x10000 <= c && c <= 0x10FFFF); + } + + // [34] ns-char ::= nb-char - s-white + // [27] nb-char ::= c-printable - b-char - c-byte-order-mark + // [26] b-char ::= b-line-feed | b-carriage-return + // Including s-white (for some reason, examples doesn't match specs in this aspect) + // ns-char ::= c-printable - b-line-feed - b-carriage-return - c-byte-order-mark + function isNsCharOrWhitespace(c) { + return isPrintable(c) && + c !== CHAR_BOM + // - b-char + && c !== CHAR_CARRIAGE_RETURN && c !== CHAR_LINE_FEED; + } + + // [127] ns-plain-safe(c) ::= c = flow-out ⇒ ns-plain-safe-out + // c = flow-in ⇒ ns-plain-safe-in + // c = block-key ⇒ ns-plain-safe-out + // c = flow-key ⇒ ns-plain-safe-in + // [128] ns-plain-safe-out ::= ns-char + // [129] ns-plain-safe-in ::= ns-char - c-flow-indicator + // [130] ns-plain-char(c) ::= ( ns-plain-safe(c) - “:” - “#” ) + // | ( /* An ns-char preceding */ “#” ) + // | ( “:” /* Followed by an ns-plain-safe(c) */ ) + function isPlainSafe(c, prev, inblock) { + var cIsNsCharOrWhitespace = isNsCharOrWhitespace(c); + var cIsNsChar = cIsNsCharOrWhitespace && !isWhitespace(c); + return ( + // ns-plain-safe + inblock ? // c = flow-in + cIsNsCharOrWhitespace + : cIsNsCharOrWhitespace + // - c-flow-indicator + && c !== CHAR_COMMA && c !== CHAR_LEFT_SQUARE_BRACKET && c !== CHAR_RIGHT_SQUARE_BRACKET && + c !== CHAR_LEFT_CURLY_BRACKET && c !== CHAR_RIGHT_CURLY_BRACKET) + // ns-plain-char + && c !== CHAR_SHARP // false on '#' + && !(prev === CHAR_COLON && !cIsNsChar) // false on ': ' + || (isNsCharOrWhitespace(prev) && !isWhitespace(prev) && c === CHAR_SHARP) // change to true on '[^ ]#' + || (prev === CHAR_COLON && cIsNsChar); // change to true on ':[^ ]' + } + + // Simplified test for values allowed as the first character in plain style. + function isPlainSafeFirst(c) { + // Uses a subset of ns-char - c-indicator + // where ns-char = nb-char - s-white. + // No support of ( ( “?” | “:” | “-” ) /* Followed by an ns-plain-safe(c)) */ ) part + return isPrintable(c) && c !== CHAR_BOM && + !isWhitespace(c) // - s-white + // - (c-indicator ::= + // “-” | “?” | “:” | “,” | “[” | “]” | “{” | “}” + && c !== CHAR_MINUS && c !== CHAR_QUESTION && c !== CHAR_COLON && c !== CHAR_COMMA && + c !== CHAR_LEFT_SQUARE_BRACKET && c !== CHAR_RIGHT_SQUARE_BRACKET && c !== CHAR_LEFT_CURLY_BRACKET && + c !== CHAR_RIGHT_CURLY_BRACKET + // | “#” | “&” | “*” | “!” | “|” | “=” | “>” | “'” | “"” + && c !== CHAR_SHARP && c !== CHAR_AMPERSAND && c !== CHAR_ASTERISK && c !== CHAR_EXCLAMATION && + c !== CHAR_VERTICAL_LINE && c !== CHAR_EQUALS && c !== CHAR_GREATER_THAN && c !== CHAR_SINGLE_QUOTE && + c !== CHAR_DOUBLE_QUOTE + // | “%” | “@” | “`”) + && c !== CHAR_PERCENT && c !== CHAR_COMMERCIAL_AT && c !== CHAR_GRAVE_ACCENT; + } + + // Simplified test for values allowed as the last character in plain style. + function isPlainSafeLast(c) { + // just not whitespace or colon, it will be checked to be plain character later + return !isWhitespace(c) && c !== CHAR_COLON; + } + + // Same as 'string'.codePointAt(pos), but works in older browsers. + function codePointAt(string, pos) { + var first = string.charCodeAt(pos), second; + if (first >= 0xD800 && first <= 0xDBFF && pos + 1 < string.length) { + second = string.charCodeAt(pos + 1); + if (second >= 0xDC00 && second <= 0xDFFF) { + // https://mathiasbynens.be/notes/javascript-encoding#surrogate-formulae + return (first - 0xD800) * 0x400 + second - 0xDC00 + 0x10000; + } + } + return first; + } + + // Determines whether block indentation indicator is required. + function needIndentIndicator(string) { + var leadingSpaceRe = /^\n* /; + return leadingSpaceRe.test(string); + } + + var STYLE_PLAIN = 1, STYLE_SINGLE = 2, STYLE_LITERAL = 3, STYLE_FOLDED = 4, STYLE_DOUBLE = 5; + + // Determines which scalar styles are possible and returns the preferred style. + // lineWidth = -1 => no limit. + // Pre-conditions: str.length > 0. + // Post-conditions: + // STYLE_PLAIN or STYLE_SINGLE => no \n are in the string. + // STYLE_LITERAL => no lines are suitable for folding (or lineWidth is -1). + // STYLE_FOLDED => a line > lineWidth and can be folded (and lineWidth != -1). + function chooseScalarStyle( + string, singleLineOnly, indentPerLevel, lineWidth, testAmbiguousType, quotingType, forceQuotes, inblock) { + var i; + var char = 0; + var prevChar = null; + var hasLineBreak = false; + var hasFoldableLine = false; // only checked if shouldTrackWidth + var shouldTrackWidth = lineWidth !== -1; + var previousLineBreak = -1; // count the first line correctly + var plain = isPlainSafeFirst(codePointAt(string, 0)) && isPlainSafeLast(codePointAt(string, string.length - 1)); + + if (singleLineOnly || forceQuotes) { + // Case: no block styles. + // Check for disallowed characters to rule out plain and single. + for (i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { + char = codePointAt(string, i); + if (!isPrintable(char)) { + return STYLE_DOUBLE; + } + plain = plain && isPlainSafe(char, prevChar, inblock); + prevChar = char; + } + } else { + // Case: block styles permitted. + for (i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { + char = codePointAt(string, i); + if (char === CHAR_LINE_FEED) { + hasLineBreak = true; + // Check if any line can be folded. + if (shouldTrackWidth) { + hasFoldableLine = hasFoldableLine || + // Foldable line = too long, and not more-indented. + (i - previousLineBreak - 1 > lineWidth && string[previousLineBreak + 1] !== ' '); + previousLineBreak = i; + } + } else if (!isPrintable(char)) { + return STYLE_DOUBLE; + } + plain = plain && isPlainSafe(char, prevChar, inblock); + prevChar = char; + } + // in case the end is missing a \n + hasFoldableLine = hasFoldableLine || + (shouldTrackWidth && (i - previousLineBreak - 1 > lineWidth && string[previousLineBreak + 1] !== ' ')); + } + // Although every style can represent \n without escaping, prefer block styles + // for multiline, since they're more readable and they don't add empty lines. + // Also prefer folding a super-long line. + if (!hasLineBreak && !hasFoldableLine) { + // Strings interpretable as another type have to be quoted; + // e.g. the string 'true' vs. the boolean true. + if (plain && !forceQuotes && !testAmbiguousType(string)) { + return STYLE_PLAIN; + } + return quotingType === QUOTING_TYPE_DOUBLE ? STYLE_DOUBLE : STYLE_SINGLE; + } + // Edge case: block indentation indicator can only have one digit. + if (indentPerLevel > 9 && needIndentIndicator(string)) { + return STYLE_DOUBLE; + } + // At this point we know block styles are valid. + // Prefer literal style unless we want to fold. + if (!forceQuotes) { + return hasFoldableLine ? STYLE_FOLDED : STYLE_LITERAL; + } + return quotingType === QUOTING_TYPE_DOUBLE ? STYLE_DOUBLE : STYLE_SINGLE; + } + + // Note: line breaking/folding is implemented for only the folded style. + // NB. We drop the last trailing newline (if any) of a returned block scalar + // since the dumper adds its own newline. This always works: + // • No ending newline => unaffected; already using strip "-" chomping. + // • Ending newline => removed then restored. + // Importantly, this keeps the "+" chomp indicator from gaining an extra line. + function writeScalar(state, string, level, iskey, inblock) { + state.dump = (function() { + if (string.length === 0) { + return state.quotingType === QUOTING_TYPE_DOUBLE ? '""' : "''"; + } + if (!state.noCompatMode) { + if (DEPRECATED_BOOLEANS_SYNTAX.indexOf(string) !== -1 || DEPRECATED_BASE60_SYNTAX.test(string)) { + return state.quotingType === QUOTING_TYPE_DOUBLE ? ('"' + string + '"') : ("'" + string + "'"); + } + } - return getBufferResponse(response); -} + var indent = state.indent * Math.max(1, level); // no 0-indent scalars + // As indentation gets deeper, let the width decrease monotonically + // to the lower bound min(state.lineWidth, 40). + // Note that this implies + // state.lineWidth ≤ 40 + state.indent: width is fixed at the lower bound. + // state.lineWidth > 40 + state.indent: width decreases until the lower bound. + // This behaves better than a constant minimum width which disallows narrower options, + // or an indent threshold which causes the width to suddenly increase. + var lineWidth = state.lineWidth === -1 ? -1 : Math.max(Math.min(state.lineWidth, 40), state.lineWidth - indent); + + // Without knowing if keys are implicit/explicit, assume implicit for safety. + var singleLineOnly = iskey + // No block styles in flow mode. + || (state.flowLevel > -1 && level >= state.flowLevel); + function testAmbiguity(string) { + return testImplicitResolving(state, string); + } -function toErrorMessage(data) { - if (typeof data === "string") return data; // istanbul ignore else - just in case + switch (chooseScalarStyle( + string, + singleLineOnly, + state.indent, + lineWidth, + testAmbiguity, + state.quotingType, + state.forceQuotes && !iskey, + inblock)) { + case STYLE_PLAIN: + return string; + case STYLE_SINGLE: + return "'" + string.replace(/'/g, "''") + "'"; + case STYLE_LITERAL: + return '|' + blockHeader(string, state.indent) + dropEndingNewline(indentString(string, indent)); + case STYLE_FOLDED: + return '>' + blockHeader(string, state.indent) + + dropEndingNewline(indentString(foldString(string, lineWidth), indent)); + case STYLE_DOUBLE: + return '"' + escapeString(string, lineWidth) + '"'; + default: + throw new YAMLException('impossible error: invalid scalar style'); + } + }()); + } + + // Pre-conditions: string is valid for a block scalar, 1 <= indentPerLevel <= 9. + function blockHeader(string, indentPerLevel) { + var indentIndicator = needIndentIndicator(string) ? String(indentPerLevel) : ''; + + // note the special case: the string '\n' counts as a "trailing" empty line. + var clip = string[string.length - 1] === '\n'; + var keep = clip && (string[string.length - 2] === '\n' || string === '\n'); + var chomp = keep ? '+' : (clip ? '' : '-'); + + return indentIndicator + chomp + '\n'; + } + + // (See the note for writeScalar.) + function dropEndingNewline(string) { + return string[string.length - 1] === '\n' ? string.slice(0, -1) : string; + } + + // Note: a long line without a suitable break point will exceed the width limit. + // Pre-conditions: every char in str isPrintable, str.length > 0, width > 0. + function foldString(string, width) { + // In folded style, $k$ consecutive newlines output as $k+1$ newlines— + // unless they're before or after a more-indented line, or at the very + // beginning or end, in which case $k$ maps to $k$. + // Therefore, parse each chunk as newline(s) followed by a content line. + var lineRe = /(\n+)([^\n]*)/g; + + // first line (possibly an empty line) + var result = (function() { + var nextLF = string.indexOf('\n'); + nextLF = nextLF !== -1 ? nextLF : string.length; + lineRe.lastIndex = nextLF; + return foldLine(string.slice(0, nextLF), width); + }()); + // If we haven't reached the first content line yet, don't add an extra \n. + var prevMoreIndented = string[0] === '\n' || string[0] === ' '; + var moreIndented; + + // rest of the lines + var match; + while ((match = lineRe.exec(string))) { + var prefix = match[1], line = match[2]; + moreIndented = (line[0] === ' '); + result += prefix + (!prevMoreIndented && !moreIndented && line !== '' ? '\n' : '') + foldLine(line, width); + prevMoreIndented = moreIndented; + } - if ("message" in data) { - if (Array.isArray(data.errors)) { - return `${data.message}: ${data.errors.map(JSON.stringify).join(", ")}`; + return result; } - return data.message; - } // istanbul ignore next - just in case + // Greedy line breaking. + // Picks the longest line under the limit each time, + // otherwise settles for the shortest line over the limit. + // NB. More-indented lines *cannot* be folded, as that would add an extra \n. + function foldLine(line, width) { + if (line === '' || line[0] === ' ') + return line; + + // Since a more-indented line adds a \n, breaks can't be followed by a space. + var breakRe = / [^ ]/g; // note: the match index will always be <= length-2. + var match; + // start is an inclusive index. end, curr, and next are exclusive. + var start = 0, end, curr = 0, next = 0; + var result = ''; + + // Invariants: 0 <= start <= length-1. + // 0 <= curr <= next <= max(0, length-2). curr - start <= width. + // Inside the loop: + // A match implies length >= 2, so curr and next are <= length-2. + while ((match = breakRe.exec(line))) { + next = match.index; + // maintain invariant: curr - start <= width + if (next - start > width) { + end = (curr > start) ? curr : next; // derive end <= length-2 + result += '\n' + line.slice(start, end); + // skip the space that was output as \n + start = end + 1; // derive start <= length-1 + } + curr = next; + } + // By the invariants, start <= length-1, so there is something left over. + // It is either the whole string or a part starting from non-whitespace. + result += '\n'; + // Insert a break if the remainder is too long and there is a break available. + if (line.length - start > width && curr > start) { + result += line.slice(start, curr) + '\n' + line.slice(curr + 1); + } else { + result += line.slice(start); + } - return `Unknown error: ${JSON.stringify(data)}`; -} + return result.slice(1); // drop extra \n joiner + } -function withDefaults(oldEndpoint, newDefaults) { - const endpoint = oldEndpoint.defaults(newDefaults); + // Escapes a double-quoted string. + function escapeString(string) { + var result = ''; + var char = 0; + var escapeSeq; - const newApi = function (route, parameters) { - const endpointOptions = endpoint.merge(route, parameters); + for (var i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { + char = codePointAt(string, i); + escapeSeq = ESCAPE_SEQUENCES[char]; - if (!endpointOptions.request || !endpointOptions.request.hook) { - return fetchWrapper(endpoint.parse(endpointOptions)); + if (!escapeSeq && isPrintable(char)) { + result += string[i]; + if (char >= 0x10000) + result += string[i + 1]; + } else { + result += escapeSeq || encodeHex(char); + } + } + + return result; } - const request = (route, parameters) => { - return fetchWrapper(endpoint.parse(endpoint.merge(route, parameters))); - }; + function writeFlowSequence(state, level, object) { + var _result = '', _tag = state.tag, index, length, value; - Object.assign(request, { - endpoint, - defaults: withDefaults.bind(null, endpoint) - }); - return endpointOptions.request.hook(request, endpointOptions); - }; + for (index = 0, length = object.length; index < length; index += 1) { + value = object[index]; - return Object.assign(newApi, { - endpoint, - defaults: withDefaults.bind(null, endpoint) - }); -} + if (state.replacer) { + value = state.replacer.call(object, String(index), value); + } -const request = withDefaults(endpoint.endpoint, { - headers: { - "user-agent": `octokit-request.js/${VERSION} ${universalUserAgent.getUserAgent()}` - } -}); + // Write only valid elements, put null instead of invalid elements. + if (writeNode(state, level, value, false, false) || + (typeof value === 'undefined' && writeNode(state, level, null, false, false))) { + if (_result !== '') + _result += ',' + (!state.condenseFlow ? ' ' : ''); + _result += state.dump; + } + } -exports.request = request; -//# sourceMappingURL=index.js.map + state.tag = _tag; + state.dump = '[' + _result + ']'; + } + function writeBlockSequence(state, level, object, compact) { + var _result = '', _tag = state.tag, index, length, value; -/***/ }), + for (index = 0, length = object.length; index < length; index += 1) { + value = object[index]; -/***/ 3682: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + if (state.replacer) { + value = state.replacer.call(object, String(index), value); + } -var register = __nccwpck_require__(4670) -var addHook = __nccwpck_require__(5549) -var removeHook = __nccwpck_require__(6819) + // Write only valid elements, put null instead of invalid elements. + if (writeNode(state, level + 1, value, true, true, false, true) || + (typeof value === 'undefined' && writeNode(state, level + 1, null, true, true, false, true))) { + if (!compact || _result !== '') { + _result += generateNextLine(state, level); + } -// bind with array of arguments: https://stackoverflow.com/a/21792913 -var bind = Function.bind -var bindable = bind.bind(bind) + if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { + _result += '-'; + } else { + _result += '- '; + } -function bindApi (hook, state, name) { - var removeHookRef = bindable(removeHook, null).apply(null, name ? [state, name] : [state]) - hook.api = { remove: removeHookRef } - hook.remove = removeHookRef + _result += state.dump; + } + } - ;['before', 'error', 'after', 'wrap'].forEach(function (kind) { - var args = name ? [state, kind, name] : [state, kind] - hook[kind] = hook.api[kind] = bindable(addHook, null).apply(null, args) - }) -} + state.tag = _tag; + state.dump = _result || '[]'; // Empty sequence if no valid values. + } -function HookSingular () { - var singularHookName = 'h' - var singularHookState = { - registry: {} - } - var singularHook = register.bind(null, singularHookState, singularHookName) - bindApi(singularHook, singularHookState, singularHookName) - return singularHook -} + function writeFlowMapping(state, level, object) { + var _result = '', _tag = state.tag, objectKeyList = Object.keys(object), index, length, objectKey, objectValue, + pairBuffer; -function HookCollection () { - var state = { - registry: {} - } + for (index = 0, length = objectKeyList.length; index < length; index += 1) { + pairBuffer = ''; + if (_result !== '') + pairBuffer += ', '; - var hook = register.bind(null, state) - bindApi(hook, state) + if (state.condenseFlow) + pairBuffer += '"'; - return hook -} + objectKey = objectKeyList[index]; + objectValue = object[objectKey]; -var collectionHookDeprecationMessageDisplayed = false -function Hook () { - if (!collectionHookDeprecationMessageDisplayed) { - console.warn('[before-after-hook]: "Hook()" repurposing warning, use "Hook.Collection()". Read more: https://git.io/upgrade-before-after-hook-to-1.4') - collectionHookDeprecationMessageDisplayed = true - } - return HookCollection() -} + if (state.replacer) { + objectValue = state.replacer.call(object, objectKey, objectValue); + } -Hook.Singular = HookSingular.bind() -Hook.Collection = HookCollection.bind() + if (!writeNode(state, level, objectKey, false, false)) { + continue; // Skip this pair because of invalid key; + } -module.exports = Hook -// expose constructors as a named property for TypeScript -module.exports.Hook = Hook -module.exports.Singular = Hook.Singular -module.exports.Collection = Hook.Collection + if (state.dump.length > 1024) + pairBuffer += '? '; + pairBuffer += state.dump + (state.condenseFlow ? '"' : '') + ':' + (state.condenseFlow ? '' : ' '); -/***/ }), + if (!writeNode(state, level, objectValue, false, false)) { + continue; // Skip this pair because of invalid value. + } -/***/ 5549: -/***/ ((module) => { + pairBuffer += state.dump; -module.exports = addHook; + // Both key and value are valid. + _result += pairBuffer; + } -function addHook(state, kind, name, hook) { - var orig = hook; - if (!state.registry[name]) { - state.registry[name] = []; - } + state.tag = _tag; + state.dump = '{' + _result + '}'; + } + + function writeBlockMapping(state, level, object, compact) { + var _result = '', _tag = state.tag, objectKeyList = Object.keys(object), index, length, objectKey, objectValue, + explicitPair, pairBuffer; + + // Allow sorting keys so that the output file is deterministic + if (state.sortKeys === true) { + // Default sorting + objectKeyList.sort(); + } else if (typeof state.sortKeys === 'function') { + // Custom sort function + objectKeyList.sort(state.sortKeys); + } else if (state.sortKeys) { + // Something is wrong + throw new YAMLException('sortKeys must be a boolean or a function'); + } - if (kind === "before") { - hook = function (method, options) { - return Promise.resolve() - .then(orig.bind(null, options)) - .then(method.bind(null, options)); - }; - } + for (index = 0, length = objectKeyList.length; index < length; index += 1) { + pairBuffer = ''; - if (kind === "after") { - hook = function (method, options) { - var result; - return Promise.resolve() - .then(method.bind(null, options)) - .then(function (result_) { - result = result_; - return orig(result, options); - }) - .then(function () { - return result; - }); - }; - } + if (!compact || _result !== '') { + pairBuffer += generateNextLine(state, level); + } - if (kind === "error") { - hook = function (method, options) { - return Promise.resolve() - .then(method.bind(null, options)) - .catch(function (error) { - return orig(error, options); - }); - }; - } + objectKey = objectKeyList[index]; + objectValue = object[objectKey]; - state.registry[name].push({ - hook: hook, - orig: orig, - }); -} + if (state.replacer) { + objectValue = state.replacer.call(object, objectKey, objectValue); + } + if (!writeNode(state, level + 1, objectKey, true, true, true)) { + continue; // Skip this pair because of invalid key. + } -/***/ }), + explicitPair = (state.tag !== null && state.tag !== '?') || (state.dump && state.dump.length > 1024); -/***/ 4670: -/***/ ((module) => { + if (explicitPair) { + if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { + pairBuffer += '?'; + } else { + pairBuffer += '? '; + } + } -module.exports = register; + pairBuffer += state.dump; -function register(state, name, method, options) { - if (typeof method !== "function") { - throw new Error("method for before hook must be a function"); - } + if (explicitPair) { + pairBuffer += generateNextLine(state, level); + } - if (!options) { - options = {}; - } + if (!writeNode(state, level + 1, objectValue, true, explicitPair)) { + continue; // Skip this pair because of invalid value. + } - if (Array.isArray(name)) { - return name.reverse().reduce(function (callback, name) { - return register.bind(null, state, name, callback, options); - }, method)(); - } + if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { + pairBuffer += ':'; + } else { + pairBuffer += ': '; + } - return Promise.resolve().then(function () { - if (!state.registry[name]) { - return method(options); + pairBuffer += state.dump; + + // Both key and value are valid. + _result += pairBuffer; + } + + state.tag = _tag; + state.dump = _result || '{}'; // Empty mapping if no valid pairs. } - return state.registry[name].reduce(function (method, registered) { - return registered.hook.bind(null, method, options); - }, method)(); - }); -} + function detectType(state, object, explicit) { + var _result, typeList, index, length, type, style; + typeList = explicit ? state.explicitTypes : state.implicitTypes; -/***/ }), + for (index = 0, length = typeList.length; index < length; index += 1) { + type = typeList[index]; -/***/ 6819: -/***/ ((module) => { + if ((type.instanceOf || type.predicate) && + (!type.instanceOf || ((typeof object === 'object') && (object instanceof type.instanceOf))) && + (!type.predicate || type.predicate(object))) { + if (explicit) { + if (type.multi && type.representName) { + state.tag = type.representName(object); + } else { + state.tag = type.tag; + } + } else { + state.tag = '?'; + } + + if (type.represent) { + style = state.styleMap[type.tag] || type.defaultStyle; + + if (_toString.call(type.represent) === '[object Function]') { + _result = type.represent(object, style); + } else if (_hasOwnProperty.call(type.represent, style)) { + _result = type.represent[style](object, style); + } else { + throw new YAMLException('!<' + type.tag + '> tag resolver accepts not "' + style + '" style'); + } + + state.dump = _result; + } + + return true; + } + } + + return false; + } -module.exports = removeHook; + // Serializes `object` and writes it to global `result`. + // Returns true on success, or false on invalid object. + // + function writeNode(state, level, object, block, compact, iskey, isblockseq) { + state.tag = null; + state.dump = object; -function removeHook(state, name, method) { - if (!state.registry[name]) { - return; - } + if (!detectType(state, object, false)) { + detectType(state, object, true); + } - var index = state.registry[name] - .map(function (registered) { - return registered.orig; - }) - .indexOf(method); + var type = _toString.call(state.dump); + var inblock = block; + var tagStr; - if (index === -1) { - return; - } + if (block) { + block = (state.flowLevel < 0 || state.flowLevel > level); + } - state.registry[name].splice(index, 1); -} + var objectOrArray = type === '[object Object]' || type === '[object Array]', duplicateIndex, duplicate; + if (objectOrArray) { + duplicateIndex = state.duplicates.indexOf(object); + duplicate = duplicateIndex !== -1; + } -/***/ }), + if ((state.tag !== null && state.tag !== '?') || duplicate || (state.indent !== 2 && level > 0)) { + compact = false; + } -/***/ 8932: -/***/ ((__unused_webpack_module, exports) => { + if (duplicate && state.usedDuplicates[duplicateIndex]) { + state.dump = '*ref_' + duplicateIndex; + } else { + if (objectOrArray && duplicate && !state.usedDuplicates[duplicateIndex]) { + state.usedDuplicates[duplicateIndex] = true; + } + if (type === '[object Object]') { + if (block && (Object.keys(state.dump).length !== 0)) { + writeBlockMapping(state, level, state.dump, compact); + if (duplicate) { + state.dump = '&ref_' + duplicateIndex + state.dump; + } + } else { + writeFlowMapping(state, level, state.dump); + if (duplicate) { + state.dump = '&ref_' + duplicateIndex + ' ' + state.dump; + } + } + } else if (type === '[object Array]') { + if (block && (state.dump.length !== 0)) { + if (state.noArrayIndent && !isblockseq && level > 0) { + writeBlockSequence(state, level - 1, state.dump, compact); + } else { + writeBlockSequence(state, level, state.dump, compact); + } + if (duplicate) { + state.dump = '&ref_' + duplicateIndex + state.dump; + } + } else { + writeFlowSequence(state, level, state.dump); + if (duplicate) { + state.dump = '&ref_' + duplicateIndex + ' ' + state.dump; + } + } + } else if (type === '[object String]') { + if (state.tag !== '?') { + writeScalar(state, state.dump, level, iskey, inblock); + } + } else if (type === '[object Undefined]') { + return false; + } else { + if (state.skipInvalid) + return false; + throw new YAMLException('unacceptable kind of an object to dump ' + type); + } -"use strict"; + if (state.tag !== null && state.tag !== '?') { + // Need to encode all characters except those allowed by the spec: + // + // [35] ns-dec-digit ::= [#x30-#x39] /* 0-9 */ + // [36] ns-hex-digit ::= ns-dec-digit + // | [#x41-#x46] /* A-F */ | [#x61-#x66] /* a-f */ + // [37] ns-ascii-letter ::= [#x41-#x5A] /* A-Z */ | [#x61-#x7A] /* a-z */ + // [38] ns-word-char ::= ns-dec-digit | ns-ascii-letter | “-” + // [39] ns-uri-char ::= “%” ns-hex-digit ns-hex-digit | ns-word-char | “#” + // | “;” | “/” | “?” | “:” | “@” | “&” | “=” | “+” | “$” | “,” + // | “_” | “.” | “!” | “~” | “*” | “'” | “(” | “)” | “[” | “]” + // + // Also need to encode '!' because it has special meaning (end of tag prefix). + // + tagStr = encodeURI(state.tag[0] === '!' ? state.tag.slice(1) : state.tag).replace(/!/g, '%21'); + + if (state.tag[0] === '!') { + tagStr = '!' + tagStr; + } else if (tagStr.slice(0, 18) === 'tag:yaml.org,2002:') { + tagStr = '!!' + tagStr.slice(18); + } else { + tagStr = '!<' + tagStr + '>'; + } + state.dump = tagStr + ' ' + state.dump; + } + } -Object.defineProperty(exports, "__esModule", ({ value: true })); + return true; + } -class Deprecation extends Error { - constructor(message) { - super(message); // Maintains proper stack trace (only available on V8) + function getDuplicateReferences(object, state) { + var objects = [], duplicatesIndexes = [], index, length; - /* istanbul ignore next */ + inspectNode(object, objects, duplicatesIndexes); - if (Error.captureStackTrace) { - Error.captureStackTrace(this, this.constructor); + for (index = 0, length = duplicatesIndexes.length; index < length; index += 1) { + state.duplicates.push(objects[duplicatesIndexes[index]]); + } + state.usedDuplicates = new Array(length); } - this.name = 'Deprecation'; - } + function inspectNode(object, objects, duplicatesIndexes) { + var objectKeyList, index, length; -} + if (object !== null && typeof object === 'object') { + index = objects.indexOf(object); + if (index !== -1) { + if (duplicatesIndexes.indexOf(index) === -1) { + duplicatesIndexes.push(index); + } + } else { + objects.push(object); -exports.Deprecation = Deprecation; + if (Array.isArray(object)) { + for (index = 0, length = object.length; index < length; index += 1) { + inspectNode(object[index], objects, duplicatesIndexes); + } + } else { + objectKeyList = Object.keys(object); + for (index = 0, length = objectKeyList.length; index < length; index += 1) { + inspectNode(object[objectKeyList[index]], objects, duplicatesIndexes); + } + } + } + } + } -/***/ }), + function dump(input, options) { + options = options || {}; -/***/ 3287: -/***/ ((__unused_webpack_module, exports) => { + var state = new State(options); -"use strict"; + if (!state.noRefs) + getDuplicateReferences(input, state); + var value = input; -Object.defineProperty(exports, "__esModule", ({ value: true })); + if (state.replacer) { + value = state.replacer.call({'' : value}, '', value); + } -/*! - * is-plain-object - * - * Copyright (c) 2014-2017, Jon Schlinkert. - * Released under the MIT License. - */ + if (writeNode(state, 0, value, true, true)) + return state.dump + '\n'; -function isObject(o) { - return Object.prototype.toString.call(o) === '[object Object]'; -} + return ''; + } -function isPlainObject(o) { - var ctor,prot; + module.exports.dump = dump; - if (isObject(o) === false) return false; + /***/ }), - // If has modified constructor - ctor = o.constructor; - if (ctor === undefined) return true; +/***/ 8179: +/***/ ((module) => { + "use strict"; + // YAML error class. http://stackoverflow.com/questions/8458984 + // - // If has modified prototype - prot = ctor.prototype; - if (isObject(prot) === false) return false; + function formatError(exception, compact) { + var where = '', message = exception.reason || '(unknown reason)'; - // If constructor does not have an Object-specific method - if (prot.hasOwnProperty('isPrototypeOf') === false) { - return false; - } + if (!exception.mark) + return message; - // Most likely a plain Object - return true; -} + if (exception.mark.name) { + where += 'in "' + exception.mark.name + '" '; + } -exports.isPlainObject = isPlainObject; + where += '(' + (exception.mark.line + 1) + ':' + (exception.mark.column + 1) + ')'; + if (!compact && exception.mark.snippet) { + where += '\n\n' + exception.mark.snippet; + } -/***/ }), + return message + ' ' + where; + } -/***/ 1917: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + function YAMLException(reason, mark) { + // Super constructor + Error.call(this); + + this.name = 'YAMLException'; + this.reason = reason; + this.mark = mark; + this.message = formatError(this, false); -"use strict"; + // Include stack trace in error object + if (Error.captureStackTrace) { + // Chrome and NodeJS + Error.captureStackTrace(this, this.constructor); + } else { + // FF, IE 10+ and Safari 6+. Fallback for others + this.stack = (new Error()).stack || ''; + } + } + // Inherit from Error + YAMLException.prototype = Object.create(Error.prototype); + YAMLException.prototype.constructor = YAMLException; + YAMLException.prototype.toString = function toString(compact) { + return this.name + ': ' + formatError(this, compact); + }; -var loader = __nccwpck_require__(1161); -var dumper = __nccwpck_require__(8866); + module.exports = YAMLException; + /***/ }), -function renamed(from, to) { - return function () { - throw new Error('Function yaml.' + from + ' is removed in js-yaml 4. ' + - 'Use yaml.' + to + ' instead, which is now safe by default.'); - }; -} +/***/ 1161: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + /*eslint-disable max-len,no-use-before-define*/ -module.exports.Type = __nccwpck_require__(6073); -module.exports.Schema = __nccwpck_require__(1082); -module.exports.FAILSAFE_SCHEMA = __nccwpck_require__(8562); -module.exports.JSON_SCHEMA = __nccwpck_require__(1035); -module.exports.CORE_SCHEMA = __nccwpck_require__(2011); -module.exports.DEFAULT_SCHEMA = __nccwpck_require__(8759); -module.exports.load = loader.load; -module.exports.loadAll = loader.loadAll; -module.exports.dump = dumper.dump; -module.exports.YAMLException = __nccwpck_require__(8179); - -// Re-export all types in case user wants to create custom schema -module.exports.types = { - binary: __nccwpck_require__(7900), - float: __nccwpck_require__(2705), - map: __nccwpck_require__(6150), - null: __nccwpck_require__(721), - pairs: __nccwpck_require__(6860), - set: __nccwpck_require__(9548), - timestamp: __nccwpck_require__(9212), - bool: __nccwpck_require__(4993), - int: __nccwpck_require__(1615), - merge: __nccwpck_require__(6104), - omap: __nccwpck_require__(9046), - seq: __nccwpck_require__(7283), - str: __nccwpck_require__(3619) -}; + var common = __nccwpck_require__(6829); + var YAMLException = __nccwpck_require__(8179); + var makeSnippet = __nccwpck_require__(6975); + var DEFAULT_SCHEMA = __nccwpck_require__(8759); -// Removed functions from JS-YAML 3.0.x -module.exports.safeLoad = renamed('safeLoad', 'load'); -module.exports.safeLoadAll = renamed('safeLoadAll', 'loadAll'); -module.exports.safeDump = renamed('safeDump', 'dump'); + var _hasOwnProperty = Object.prototype.hasOwnProperty; + var CONTEXT_FLOW_IN = 1; + var CONTEXT_FLOW_OUT = 2; + var CONTEXT_BLOCK_IN = 3; + var CONTEXT_BLOCK_OUT = 4; -/***/ }), + var CHOMPING_CLIP = 1; + var CHOMPING_STRIP = 2; + var CHOMPING_KEEP = 3; -/***/ 6829: -/***/ ((module) => { + var PATTERN_NON_PRINTABLE = + /[\x00-\x08\x0B\x0C\x0E-\x1F\x7F-\x84\x86-\x9F\uFFFE\uFFFF]|[\uD800-\uDBFF](?![\uDC00-\uDFFF])|(?:[^\uD800-\uDBFF]|^)[\uDC00-\uDFFF]/; + var PATTERN_NON_ASCII_LINE_BREAKS = /[\x85\u2028\u2029]/; + var PATTERN_FLOW_INDICATORS = /[,\[\]\{\}]/; + var PATTERN_TAG_HANDLE = /^(?:!|!!|![a-z\-]+!)$/i; + var PATTERN_TAG_URI = /^(?:!|[^,\[\]\{\}])(?:%[0-9a-f]{2}|[0-9a-z\-#;\/\?:@&=\+\$,_\.!~\*'\(\)\[\]])*$/i; -"use strict"; + function _class(obj) { + return Object.prototype.toString.call(obj); + } + function is_EOL(c) { + return (c === 0x0A /* LF */) || (c === 0x0D /* CR */); + } + function is_WHITE_SPACE(c) { + return (c === 0x09 /* Tab */) || (c === 0x20 /* Space */); + } -function isNothing(subject) { - return (typeof subject === 'undefined') || (subject === null); -} + function is_WS_OR_EOL(c) { + return (c === 0x09 /* Tab */) || (c === 0x20 /* Space */) || (c === 0x0A /* LF */) || (c === 0x0D /* CR */); + } + function is_FLOW_INDICATOR(c) { + return c === 0x2C /* , */ || c === 0x5B /* [ */ || c === 0x5D /* ] */ || c === 0x7B /* { */ || c === 0x7D /* } */; + } -function isObject(subject) { - return (typeof subject === 'object') && (subject !== null); -} + function fromHexCode(c) { + var lc; + if ((0x30 /* 0 */ <= c) && (c <= 0x39 /* 9 */)) { + return c - 0x30; + } -function toArray(sequence) { - if (Array.isArray(sequence)) return sequence; - else if (isNothing(sequence)) return []; + /*eslint-disable no-bitwise*/ + lc = c | 0x20; - return [ sequence ]; -} + if ((0x61 /* a */ <= lc) && (lc <= 0x66 /* f */)) { + return lc - 0x61 + 10; + } + return -1; + } -function extend(target, source) { - var index, length, key, sourceKeys; + function escapedHexLen(c) { + if (c === 0x78 /* x */) { + return 2; + } + if (c === 0x75 /* u */) { + return 4; + } + if (c === 0x55 /* U */) { + return 8; + } + return 0; + } - if (source) { - sourceKeys = Object.keys(source); + function fromDecimalCode(c) { + if ((0x30 /* 0 */ <= c) && (c <= 0x39 /* 9 */)) { + return c - 0x30; + } - for (index = 0, length = sourceKeys.length; index < length; index += 1) { - key = sourceKeys[index]; - target[key] = source[key]; + return -1; + } + + function simpleEscapeSequence(c) { + /* eslint-disable indent */ + return (c === 0x30 /* 0 */) ? '\x00' + : (c === 0x61 /* a */) ? '\x07' + : (c === 0x62 /* b */) ? '\x08' + : (c === 0x74 /* t */) ? '\x09' + : (c === 0x09 /* Tab */) ? '\x09' + : (c === 0x6E /* n */) ? '\x0A' + : (c === 0x76 /* v */) ? '\x0B' + : (c === 0x66 /* f */) ? '\x0C' + : (c === 0x72 /* r */) ? '\x0D' + : (c === 0x65 /* e */) ? '\x1B' + : (c === 0x20 /* Space */) ? ' ' + : (c === 0x22 /* " */) ? '\x22' + : (c === 0x2F /* / */) ? '/' + : (c === 0x5C /* \ */) ? '\x5C' + : (c === 0x4E /* N */) ? '\x85' + : (c === 0x5F /* _ */) ? '\xA0' + : (c === 0x4C /* L */) ? '\u2028' + : (c === 0x50 /* P */) ? '\u2029' + : ''; + } + + function charFromCodepoint(c) { + if (c <= 0xFFFF) { + return String.fromCharCode(c); + } + // Encode UTF-16 surrogate pair + // https://en.wikipedia.org/wiki/UTF-16#Code_points_U.2B010000_to_U.2B10FFFF + return String.fromCharCode(((c - 0x010000) >> 10) + 0xD800, ((c - 0x010000) & 0x03FF) + 0xDC00); } - } - return target; -} + var simpleEscapeCheck = new Array(256); // integer, for fast access + var simpleEscapeMap = new Array(256); + for (var i = 0; i < 256; i++) { + simpleEscapeCheck[i] = simpleEscapeSequence(i) ? 1 : 0; + simpleEscapeMap[i] = simpleEscapeSequence(i); + } + function State(input, options) { + this.input = input; -function repeat(string, count) { - var result = '', cycle; + this.filename = options['filename'] || null; + this.schema = options['schema'] || DEFAULT_SCHEMA; + this.onWarning = options['onWarning'] || null; + // (Hidden) Remove? makes the loader to expect YAML 1.1 documents + // if such documents have no explicit %YAML directive + this.legacy = options['legacy'] || false; - for (cycle = 0; cycle < count; cycle += 1) { - result += string; - } + this.json = options['json'] || false; + this.listener = options['listener'] || null; - return result; -} + this.implicitTypes = this.schema.compiledImplicit; + this.typeMap = this.schema.compiledTypeMap; + this.length = input.length; + this.position = 0; + this.line = 0; + this.lineStart = 0; + this.lineIndent = 0; -function isNegativeZero(number) { - return (number === 0) && (Number.NEGATIVE_INFINITY === 1 / number); -} + // position of first leading tab in the current line, + // used to make sure there are no tabs in the indentation + this.firstTabInLine = -1; + this.documents = []; -module.exports.isNothing = isNothing; -module.exports.isObject = isObject; -module.exports.toArray = toArray; -module.exports.repeat = repeat; -module.exports.isNegativeZero = isNegativeZero; -module.exports.extend = extend; + /* + this.version; + this.checkLineBreaks; + this.tagMap; + this.anchorMap; + this.tag; + this.anchor; + this.kind; + this.result;*/ + } + function generateError(state, message) { + var mark = { + name : state.filename, + buffer : state.input.slice(0, -1), // omit trailing \0 + position : state.position, + line : state.line, + column : state.position - state.lineStart + }; -/***/ }), + mark.snippet = makeSnippet(mark); -/***/ 8866: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + return new YAMLException(message, mark); + } -"use strict"; - - -/*eslint-disable no-use-before-define*/ - -var common = __nccwpck_require__(6829); -var YAMLException = __nccwpck_require__(8179); -var DEFAULT_SCHEMA = __nccwpck_require__(8759); - -var _toString = Object.prototype.toString; -var _hasOwnProperty = Object.prototype.hasOwnProperty; - -var CHAR_BOM = 0xFEFF; -var CHAR_TAB = 0x09; /* Tab */ -var CHAR_LINE_FEED = 0x0A; /* LF */ -var CHAR_CARRIAGE_RETURN = 0x0D; /* CR */ -var CHAR_SPACE = 0x20; /* Space */ -var CHAR_EXCLAMATION = 0x21; /* ! */ -var CHAR_DOUBLE_QUOTE = 0x22; /* " */ -var CHAR_SHARP = 0x23; /* # */ -var CHAR_PERCENT = 0x25; /* % */ -var CHAR_AMPERSAND = 0x26; /* & */ -var CHAR_SINGLE_QUOTE = 0x27; /* ' */ -var CHAR_ASTERISK = 0x2A; /* * */ -var CHAR_COMMA = 0x2C; /* , */ -var CHAR_MINUS = 0x2D; /* - */ -var CHAR_COLON = 0x3A; /* : */ -var CHAR_EQUALS = 0x3D; /* = */ -var CHAR_GREATER_THAN = 0x3E; /* > */ -var CHAR_QUESTION = 0x3F; /* ? */ -var CHAR_COMMERCIAL_AT = 0x40; /* @ */ -var CHAR_LEFT_SQUARE_BRACKET = 0x5B; /* [ */ -var CHAR_RIGHT_SQUARE_BRACKET = 0x5D; /* ] */ -var CHAR_GRAVE_ACCENT = 0x60; /* ` */ -var CHAR_LEFT_CURLY_BRACKET = 0x7B; /* { */ -var CHAR_VERTICAL_LINE = 0x7C; /* | */ -var CHAR_RIGHT_CURLY_BRACKET = 0x7D; /* } */ - -var ESCAPE_SEQUENCES = {}; - -ESCAPE_SEQUENCES[0x00] = '\\0'; -ESCAPE_SEQUENCES[0x07] = '\\a'; -ESCAPE_SEQUENCES[0x08] = '\\b'; -ESCAPE_SEQUENCES[0x09] = '\\t'; -ESCAPE_SEQUENCES[0x0A] = '\\n'; -ESCAPE_SEQUENCES[0x0B] = '\\v'; -ESCAPE_SEQUENCES[0x0C] = '\\f'; -ESCAPE_SEQUENCES[0x0D] = '\\r'; -ESCAPE_SEQUENCES[0x1B] = '\\e'; -ESCAPE_SEQUENCES[0x22] = '\\"'; -ESCAPE_SEQUENCES[0x5C] = '\\\\'; -ESCAPE_SEQUENCES[0x85] = '\\N'; -ESCAPE_SEQUENCES[0xA0] = '\\_'; -ESCAPE_SEQUENCES[0x2028] = '\\L'; -ESCAPE_SEQUENCES[0x2029] = '\\P'; - -var DEPRECATED_BOOLEANS_SYNTAX = [ - 'y', 'Y', 'yes', 'Yes', 'YES', 'on', 'On', 'ON', - 'n', 'N', 'no', 'No', 'NO', 'off', 'Off', 'OFF' -]; - -var DEPRECATED_BASE60_SYNTAX = /^[-+]?[0-9_]+(?::[0-9_]+)+(?:\.[0-9_]*)?$/; - -function compileStyleMap(schema, map) { - var result, keys, index, length, tag, style, type; - - if (map === null) return {}; - - result = {}; - keys = Object.keys(map); - - for (index = 0, length = keys.length; index < length; index += 1) { - tag = keys[index]; - style = String(map[tag]); - - if (tag.slice(0, 2) === '!!') { - tag = 'tag:yaml.org,2002:' + tag.slice(2); - } - type = schema.compiledTypeMap['fallback'][tag]; - - if (type && _hasOwnProperty.call(type.styleAliases, style)) { - style = type.styleAliases[style]; - } - - result[tag] = style; - } + function throwError(state, message) { + throw generateError(state, message); + } - return result; -} + function throwWarning(state, message) { + if (state.onWarning) { + state.onWarning.call(null, generateError(state, message)); + } + } -function encodeHex(character) { - var string, handle, length; - - string = character.toString(16).toUpperCase(); - - if (character <= 0xFF) { - handle = 'x'; - length = 2; - } else if (character <= 0xFFFF) { - handle = 'u'; - length = 4; - } else if (character <= 0xFFFFFFFF) { - handle = 'U'; - length = 8; - } else { - throw new YAMLException('code point within a string may not be greater than 0xFFFFFFFF'); - } + var directiveHandlers = { - return '\\' + handle + common.repeat('0', length - string.length) + string; -} + YAML : function handleYamlDirective(state, name, args) { + var match, major, minor; + if (state.version !== null) { + throwError(state, 'duplication of %YAML directive'); + } -var QUOTING_TYPE_SINGLE = 1, - QUOTING_TYPE_DOUBLE = 2; - -function State(options) { - this.schema = options['schema'] || DEFAULT_SCHEMA; - this.indent = Math.max(1, (options['indent'] || 2)); - this.noArrayIndent = options['noArrayIndent'] || false; - this.skipInvalid = options['skipInvalid'] || false; - this.flowLevel = (common.isNothing(options['flowLevel']) ? -1 : options['flowLevel']); - this.styleMap = compileStyleMap(this.schema, options['styles'] || null); - this.sortKeys = options['sortKeys'] || false; - this.lineWidth = options['lineWidth'] || 80; - this.noRefs = options['noRefs'] || false; - this.noCompatMode = options['noCompatMode'] || false; - this.condenseFlow = options['condenseFlow'] || false; - this.quotingType = options['quotingType'] === '"' ? QUOTING_TYPE_DOUBLE : QUOTING_TYPE_SINGLE; - this.forceQuotes = options['forceQuotes'] || false; - this.replacer = typeof options['replacer'] === 'function' ? options['replacer'] : null; - - this.implicitTypes = this.schema.compiledImplicit; - this.explicitTypes = this.schema.compiledExplicit; - - this.tag = null; - this.result = ''; - - this.duplicates = []; - this.usedDuplicates = null; -} + if (args.length !== 1) { + throwError(state, 'YAML directive accepts exactly one argument'); + } -// Indents every line in a string. Empty lines (\n only) are not indented. -function indentString(string, spaces) { - var ind = common.repeat(' ', spaces), - position = 0, - next = -1, - result = '', - line, - length = string.length; - - while (position < length) { - next = string.indexOf('\n', position); - if (next === -1) { - line = string.slice(position); - position = length; - } else { - line = string.slice(position, next + 1); - position = next + 1; - } + match = /^([0-9]+)\.([0-9]+)$/.exec(args[0]); - if (line.length && line !== '\n') result += ind; + if (match === null) { + throwError(state, 'ill-formed argument of the YAML directive'); + } - result += line; - } + major = parseInt(match[1], 10); + minor = parseInt(match[2], 10); - return result; -} + if (major !== 1) { + throwError(state, 'unacceptable YAML version of the document'); + } -function generateNextLine(state, level) { - return '\n' + common.repeat(' ', state.indent * level); -} + state.version = args[0]; + state.checkLineBreaks = (minor < 2); -function testImplicitResolving(state, str) { - var index, length, type; + if (minor !== 1 && minor !== 2) { + throwWarning(state, 'unsupported YAML version of the document'); + } + }, - for (index = 0, length = state.implicitTypes.length; index < length; index += 1) { - type = state.implicitTypes[index]; + TAG : function handleTagDirective(state, name, args) { + var handle, prefix; - if (type.resolve(str)) { - return true; - } - } + if (args.length !== 2) { + throwError(state, 'TAG directive accepts exactly two arguments'); + } - return false; -} + handle = args[0]; + prefix = args[1]; -// [33] s-white ::= s-space | s-tab -function isWhitespace(c) { - return c === CHAR_SPACE || c === CHAR_TAB; -} + if (!PATTERN_TAG_HANDLE.test(handle)) { + throwError(state, 'ill-formed tag handle (first argument) of the TAG directive'); + } -// Returns true if the character can be printed without escaping. -// From YAML 1.2: "any allowed characters known to be non-printable -// should also be escaped. [However,] This isn’t mandatory" -// Derived from nb-char - \t - #x85 - #xA0 - #x2028 - #x2029. -function isPrintable(c) { - return (0x00020 <= c && c <= 0x00007E) - || ((0x000A1 <= c && c <= 0x00D7FF) && c !== 0x2028 && c !== 0x2029) - || ((0x0E000 <= c && c <= 0x00FFFD) && c !== CHAR_BOM) - || (0x10000 <= c && c <= 0x10FFFF); -} + if (_hasOwnProperty.call(state.tagMap, handle)) { + throwError(state, 'there is a previously declared suffix for "' + handle + '" tag handle'); + } -// [34] ns-char ::= nb-char - s-white -// [27] nb-char ::= c-printable - b-char - c-byte-order-mark -// [26] b-char ::= b-line-feed | b-carriage-return -// Including s-white (for some reason, examples doesn't match specs in this aspect) -// ns-char ::= c-printable - b-line-feed - b-carriage-return - c-byte-order-mark -function isNsCharOrWhitespace(c) { - return isPrintable(c) - && c !== CHAR_BOM - // - b-char - && c !== CHAR_CARRIAGE_RETURN - && c !== CHAR_LINE_FEED; -} + if (!PATTERN_TAG_URI.test(prefix)) { + throwError(state, 'ill-formed tag prefix (second argument) of the TAG directive'); + } -// [127] ns-plain-safe(c) ::= c = flow-out ⇒ ns-plain-safe-out -// c = flow-in ⇒ ns-plain-safe-in -// c = block-key ⇒ ns-plain-safe-out -// c = flow-key ⇒ ns-plain-safe-in -// [128] ns-plain-safe-out ::= ns-char -// [129] ns-plain-safe-in ::= ns-char - c-flow-indicator -// [130] ns-plain-char(c) ::= ( ns-plain-safe(c) - “:” - “#” ) -// | ( /* An ns-char preceding */ “#” ) -// | ( “:” /* Followed by an ns-plain-safe(c) */ ) -function isPlainSafe(c, prev, inblock) { - var cIsNsCharOrWhitespace = isNsCharOrWhitespace(c); - var cIsNsChar = cIsNsCharOrWhitespace && !isWhitespace(c); - return ( - // ns-plain-safe - inblock ? // c = flow-in - cIsNsCharOrWhitespace - : cIsNsCharOrWhitespace - // - c-flow-indicator - && c !== CHAR_COMMA - && c !== CHAR_LEFT_SQUARE_BRACKET - && c !== CHAR_RIGHT_SQUARE_BRACKET - && c !== CHAR_LEFT_CURLY_BRACKET - && c !== CHAR_RIGHT_CURLY_BRACKET - ) - // ns-plain-char - && c !== CHAR_SHARP // false on '#' - && !(prev === CHAR_COLON && !cIsNsChar) // false on ': ' - || (isNsCharOrWhitespace(prev) && !isWhitespace(prev) && c === CHAR_SHARP) // change to true on '[^ ]#' - || (prev === CHAR_COLON && cIsNsChar); // change to true on ':[^ ]' -} + try { + prefix = decodeURIComponent(prefix); + } catch (err) { + throwError(state, 'tag prefix is malformed: ' + prefix); + } -// Simplified test for values allowed as the first character in plain style. -function isPlainSafeFirst(c) { - // Uses a subset of ns-char - c-indicator - // where ns-char = nb-char - s-white. - // No support of ( ( “?” | “:” | “-” ) /* Followed by an ns-plain-safe(c)) */ ) part - return isPrintable(c) && c !== CHAR_BOM - && !isWhitespace(c) // - s-white - // - (c-indicator ::= - // “-” | “?” | “:” | “,” | “[” | “]” | “{” | “}” - && c !== CHAR_MINUS - && c !== CHAR_QUESTION - && c !== CHAR_COLON - && c !== CHAR_COMMA - && c !== CHAR_LEFT_SQUARE_BRACKET - && c !== CHAR_RIGHT_SQUARE_BRACKET - && c !== CHAR_LEFT_CURLY_BRACKET - && c !== CHAR_RIGHT_CURLY_BRACKET - // | “#” | “&” | “*” | “!” | “|” | “=” | “>” | “'” | “"” - && c !== CHAR_SHARP - && c !== CHAR_AMPERSAND - && c !== CHAR_ASTERISK - && c !== CHAR_EXCLAMATION - && c !== CHAR_VERTICAL_LINE - && c !== CHAR_EQUALS - && c !== CHAR_GREATER_THAN - && c !== CHAR_SINGLE_QUOTE - && c !== CHAR_DOUBLE_QUOTE - // | “%” | “@” | “`”) - && c !== CHAR_PERCENT - && c !== CHAR_COMMERCIAL_AT - && c !== CHAR_GRAVE_ACCENT; -} + state.tagMap[handle] = prefix; + } + }; -// Simplified test for values allowed as the last character in plain style. -function isPlainSafeLast(c) { - // just not whitespace or colon, it will be checked to be plain character later - return !isWhitespace(c) && c !== CHAR_COLON; -} + function captureSegment(state, start, end, checkJson) { + var _position, _length, _character, _result; -// Same as 'string'.codePointAt(pos), but works in older browsers. -function codePointAt(string, pos) { - var first = string.charCodeAt(pos), second; - if (first >= 0xD800 && first <= 0xDBFF && pos + 1 < string.length) { - second = string.charCodeAt(pos + 1); - if (second >= 0xDC00 && second <= 0xDFFF) { - // https://mathiasbynens.be/notes/javascript-encoding#surrogate-formulae - return (first - 0xD800) * 0x400 + second - 0xDC00 + 0x10000; - } - } - return first; -} + if (start < end) { + _result = state.input.slice(start, end); -// Determines whether block indentation indicator is required. -function needIndentIndicator(string) { - var leadingSpaceRe = /^\n* /; - return leadingSpaceRe.test(string); -} + if (checkJson) { + for (_position = 0, _length = _result.length; _position < _length; _position += 1) { + _character = _result.charCodeAt(_position); + if (!(_character === 0x09 || (0x20 <= _character && _character <= 0x10FFFF))) { + throwError(state, 'expected valid JSON character'); + } + } + } else if (PATTERN_NON_PRINTABLE.test(_result)) { + throwError(state, 'the stream contains non-printable characters'); + } -var STYLE_PLAIN = 1, - STYLE_SINGLE = 2, - STYLE_LITERAL = 3, - STYLE_FOLDED = 4, - STYLE_DOUBLE = 5; - -// Determines which scalar styles are possible and returns the preferred style. -// lineWidth = -1 => no limit. -// Pre-conditions: str.length > 0. -// Post-conditions: -// STYLE_PLAIN or STYLE_SINGLE => no \n are in the string. -// STYLE_LITERAL => no lines are suitable for folding (or lineWidth is -1). -// STYLE_FOLDED => a line > lineWidth and can be folded (and lineWidth != -1). -function chooseScalarStyle(string, singleLineOnly, indentPerLevel, lineWidth, - testAmbiguousType, quotingType, forceQuotes, inblock) { - - var i; - var char = 0; - var prevChar = null; - var hasLineBreak = false; - var hasFoldableLine = false; // only checked if shouldTrackWidth - var shouldTrackWidth = lineWidth !== -1; - var previousLineBreak = -1; // count the first line correctly - var plain = isPlainSafeFirst(codePointAt(string, 0)) - && isPlainSafeLast(codePointAt(string, string.length - 1)); - - if (singleLineOnly || forceQuotes) { - // Case: no block styles. - // Check for disallowed characters to rule out plain and single. - for (i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { - char = codePointAt(string, i); - if (!isPrintable(char)) { - return STYLE_DOUBLE; - } - plain = plain && isPlainSafe(char, prevChar, inblock); - prevChar = char; - } - } else { - // Case: block styles permitted. - for (i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { - char = codePointAt(string, i); - if (char === CHAR_LINE_FEED) { - hasLineBreak = true; - // Check if any line can be folded. - if (shouldTrackWidth) { - hasFoldableLine = hasFoldableLine || - // Foldable line = too long, and not more-indented. - (i - previousLineBreak - 1 > lineWidth && - string[previousLineBreak + 1] !== ' '); - previousLineBreak = i; - } - } else if (!isPrintable(char)) { - return STYLE_DOUBLE; + state.result += _result; } - plain = plain && isPlainSafe(char, prevChar, inblock); - prevChar = char; } - // in case the end is missing a \n - hasFoldableLine = hasFoldableLine || (shouldTrackWidth && - (i - previousLineBreak - 1 > lineWidth && - string[previousLineBreak + 1] !== ' ')); - } - // Although every style can represent \n without escaping, prefer block styles - // for multiline, since they're more readable and they don't add empty lines. - // Also prefer folding a super-long line. - if (!hasLineBreak && !hasFoldableLine) { - // Strings interpretable as another type have to be quoted; - // e.g. the string 'true' vs. the boolean true. - if (plain && !forceQuotes && !testAmbiguousType(string)) { - return STYLE_PLAIN; - } - return quotingType === QUOTING_TYPE_DOUBLE ? STYLE_DOUBLE : STYLE_SINGLE; - } - // Edge case: block indentation indicator can only have one digit. - if (indentPerLevel > 9 && needIndentIndicator(string)) { - return STYLE_DOUBLE; - } - // At this point we know block styles are valid. - // Prefer literal style unless we want to fold. - if (!forceQuotes) { - return hasFoldableLine ? STYLE_FOLDED : STYLE_LITERAL; - } - return quotingType === QUOTING_TYPE_DOUBLE ? STYLE_DOUBLE : STYLE_SINGLE; -} -// Note: line breaking/folding is implemented for only the folded style. -// NB. We drop the last trailing newline (if any) of a returned block scalar -// since the dumper adds its own newline. This always works: -// • No ending newline => unaffected; already using strip "-" chomping. -// • Ending newline => removed then restored. -// Importantly, this keeps the "+" chomp indicator from gaining an extra line. -function writeScalar(state, string, level, iskey, inblock) { - state.dump = (function () { - if (string.length === 0) { - return state.quotingType === QUOTING_TYPE_DOUBLE ? '""' : "''"; - } - if (!state.noCompatMode) { - if (DEPRECATED_BOOLEANS_SYNTAX.indexOf(string) !== -1 || DEPRECATED_BASE60_SYNTAX.test(string)) { - return state.quotingType === QUOTING_TYPE_DOUBLE ? ('"' + string + '"') : ("'" + string + "'"); - } - } - - var indent = state.indent * Math.max(1, level); // no 0-indent scalars - // As indentation gets deeper, let the width decrease monotonically - // to the lower bound min(state.lineWidth, 40). - // Note that this implies - // state.lineWidth ≤ 40 + state.indent: width is fixed at the lower bound. - // state.lineWidth > 40 + state.indent: width decreases until the lower bound. - // This behaves better than a constant minimum width which disallows narrower options, - // or an indent threshold which causes the width to suddenly increase. - var lineWidth = state.lineWidth === -1 - ? -1 : Math.max(Math.min(state.lineWidth, 40), state.lineWidth - indent); - - // Without knowing if keys are implicit/explicit, assume implicit for safety. - var singleLineOnly = iskey - // No block styles in flow mode. - || (state.flowLevel > -1 && level >= state.flowLevel); - function testAmbiguity(string) { - return testImplicitResolving(state, string); - } - - switch (chooseScalarStyle(string, singleLineOnly, state.indent, lineWidth, - testAmbiguity, state.quotingType, state.forceQuotes && !iskey, inblock)) { - - case STYLE_PLAIN: - return string; - case STYLE_SINGLE: - return "'" + string.replace(/'/g, "''") + "'"; - case STYLE_LITERAL: - return '|' + blockHeader(string, state.indent) - + dropEndingNewline(indentString(string, indent)); - case STYLE_FOLDED: - return '>' + blockHeader(string, state.indent) - + dropEndingNewline(indentString(foldString(string, lineWidth), indent)); - case STYLE_DOUBLE: - return '"' + escapeString(string, lineWidth) + '"'; - default: - throw new YAMLException('impossible error: invalid scalar style'); - } - }()); -} + function mergeMappings(state, destination, source, overridableKeys) { + var sourceKeys, key, index, quantity; -// Pre-conditions: string is valid for a block scalar, 1 <= indentPerLevel <= 9. -function blockHeader(string, indentPerLevel) { - var indentIndicator = needIndentIndicator(string) ? String(indentPerLevel) : ''; + if (!common.isObject(source)) { + throwError(state, 'cannot merge mappings; the provided source object is unacceptable'); + } - // note the special case: the string '\n' counts as a "trailing" empty line. - var clip = string[string.length - 1] === '\n'; - var keep = clip && (string[string.length - 2] === '\n' || string === '\n'); - var chomp = keep ? '+' : (clip ? '' : '-'); + sourceKeys = Object.keys(source); - return indentIndicator + chomp + '\n'; -} + for (index = 0, quantity = sourceKeys.length; index < quantity; index += 1) { + key = sourceKeys[index]; -// (See the note for writeScalar.) -function dropEndingNewline(string) { - return string[string.length - 1] === '\n' ? string.slice(0, -1) : string; -} + if (!_hasOwnProperty.call(destination, key)) { + destination[key] = source[key]; + overridableKeys[key] = true; + } + } + } -// Note: a long line without a suitable break point will exceed the width limit. -// Pre-conditions: every char in str isPrintable, str.length > 0, width > 0. -function foldString(string, width) { - // In folded style, $k$ consecutive newlines output as $k+1$ newlines— - // unless they're before or after a more-indented line, or at the very - // beginning or end, in which case $k$ maps to $k$. - // Therefore, parse each chunk as newline(s) followed by a content line. - var lineRe = /(\n+)([^\n]*)/g; - - // first line (possibly an empty line) - var result = (function () { - var nextLF = string.indexOf('\n'); - nextLF = nextLF !== -1 ? nextLF : string.length; - lineRe.lastIndex = nextLF; - return foldLine(string.slice(0, nextLF), width); - }()); - // If we haven't reached the first content line yet, don't add an extra \n. - var prevMoreIndented = string[0] === '\n' || string[0] === ' '; - var moreIndented; - - // rest of the lines - var match; - while ((match = lineRe.exec(string))) { - var prefix = match[1], line = match[2]; - moreIndented = (line[0] === ' '); - result += prefix - + (!prevMoreIndented && !moreIndented && line !== '' - ? '\n' : '') - + foldLine(line, width); - prevMoreIndented = moreIndented; - } + function storeMappingPair( + state, _result, overridableKeys, keyTag, keyNode, valueNode, startLine, startLineStart, startPos) { + var index, quantity; - return result; -} + // The output is a plain object here, so keys can only be strings. + // We need to convert keyNode to a string, but doing so can hang the process + // (deeply nested arrays that explode exponentially using aliases). + if (Array.isArray(keyNode)) { + keyNode = Array.prototype.slice.call(keyNode); -// Greedy line breaking. -// Picks the longest line under the limit each time, -// otherwise settles for the shortest line over the limit. -// NB. More-indented lines *cannot* be folded, as that would add an extra \n. -function foldLine(line, width) { - if (line === '' || line[0] === ' ') return line; - - // Since a more-indented line adds a \n, breaks can't be followed by a space. - var breakRe = / [^ ]/g; // note: the match index will always be <= length-2. - var match; - // start is an inclusive index. end, curr, and next are exclusive. - var start = 0, end, curr = 0, next = 0; - var result = ''; - - // Invariants: 0 <= start <= length-1. - // 0 <= curr <= next <= max(0, length-2). curr - start <= width. - // Inside the loop: - // A match implies length >= 2, so curr and next are <= length-2. - while ((match = breakRe.exec(line))) { - next = match.index; - // maintain invariant: curr - start <= width - if (next - start > width) { - end = (curr > start) ? curr : next; // derive end <= length-2 - result += '\n' + line.slice(start, end); - // skip the space that was output as \n - start = end + 1; // derive start <= length-1 - } - curr = next; - } + for (index = 0, quantity = keyNode.length; index < quantity; index += 1) { + if (Array.isArray(keyNode[index])) { + throwError(state, 'nested arrays are not supported inside keys'); + } - // By the invariants, start <= length-1, so there is something left over. - // It is either the whole string or a part starting from non-whitespace. - result += '\n'; - // Insert a break if the remainder is too long and there is a break available. - if (line.length - start > width && curr > start) { - result += line.slice(start, curr) + '\n' + line.slice(curr + 1); - } else { - result += line.slice(start); - } + if (typeof keyNode === 'object' && _class(keyNode[index]) === '[object Object]') { + keyNode[index] = '[object Object]'; + } + } + } - return result.slice(1); // drop extra \n joiner -} + // Avoid code execution in load() via toString property + // (still use its own toString for arrays, timestamps, + // and whatever user schema extensions happen to have @@toStringTag) + if (typeof keyNode === 'object' && _class(keyNode) === '[object Object]') { + keyNode = '[object Object]'; + } -// Escapes a double-quoted string. -function escapeString(string) { - var result = ''; - var char = 0; - var escapeSeq; + keyNode = String(keyNode); - for (var i = 0; i < string.length; char >= 0x10000 ? i += 2 : i++) { - char = codePointAt(string, i); - escapeSeq = ESCAPE_SEQUENCES[char]; + if (_result === null) { + _result = {}; + } - if (!escapeSeq && isPrintable(char)) { - result += string[i]; - if (char >= 0x10000) result += string[i + 1]; - } else { - result += escapeSeq || encodeHex(char); - } - } + if (keyTag === 'tag:yaml.org,2002:merge') { + if (Array.isArray(valueNode)) { + for (index = 0, quantity = valueNode.length; index < quantity; index += 1) { + mergeMappings(state, _result, valueNode[index], overridableKeys); + } + } else { + mergeMappings(state, _result, valueNode, overridableKeys); + } + } else { + if (!state.json && !_hasOwnProperty.call(overridableKeys, keyNode) && _hasOwnProperty.call(_result, keyNode)) { + state.line = startLine || state.line; + state.lineStart = startLineStart || state.lineStart; + state.position = startPos || state.position; + throwError(state, 'duplicated mapping key'); + } - return result; -} + // used for this specific key only because Object.defineProperty is slow + if (keyNode === '__proto__') { + Object.defineProperty( + _result, keyNode, {configurable : true, enumerable : true, writable : true, value : valueNode}); + } else { + _result[keyNode] = valueNode; + } + delete overridableKeys[keyNode]; + } -function writeFlowSequence(state, level, object) { - var _result = '', - _tag = state.tag, - index, - length, - value; + return _result; + } - for (index = 0, length = object.length; index < length; index += 1) { - value = object[index]; + function readLineBreak(state) { + var ch; - if (state.replacer) { - value = state.replacer.call(object, String(index), value); - } + ch = state.input.charCodeAt(state.position); - // Write only valid elements, put null instead of invalid elements. - if (writeNode(state, level, value, false, false) || - (typeof value === 'undefined' && - writeNode(state, level, null, false, false))) { + if (ch === 0x0A /* LF */) { + state.position++; + } else if (ch === 0x0D /* CR */) { + state.position++; + if (state.input.charCodeAt(state.position) === 0x0A /* LF */) { + state.position++; + } + } else { + throwError(state, 'a line break is expected'); + } - if (_result !== '') _result += ',' + (!state.condenseFlow ? ' ' : ''); - _result += state.dump; + state.line += 1; + state.lineStart = state.position; + state.firstTabInLine = -1; } - } - state.tag = _tag; - state.dump = '[' + _result + ']'; -} + function skipSeparationSpace(state, allowComments, checkIndent) { + var lineBreaks = 0, ch = state.input.charCodeAt(state.position); -function writeBlockSequence(state, level, object, compact) { - var _result = '', - _tag = state.tag, - index, - length, - value; + while (ch !== 0) { + while (is_WHITE_SPACE(ch)) { + if (ch === 0x09 /* Tab */ && state.firstTabInLine === -1) { + state.firstTabInLine = state.position; + } + ch = state.input.charCodeAt(++state.position); + } - for (index = 0, length = object.length; index < length; index += 1) { - value = object[index]; + if (allowComments && ch === 0x23 /* # */) { + do { + ch = state.input.charCodeAt(++state.position); + } while (ch !== 0x0A /* LF */ && ch !== 0x0D /* CR */ && ch !== 0); + } - if (state.replacer) { - value = state.replacer.call(object, String(index), value); - } + if (is_EOL(ch)) { + readLineBreak(state); - // Write only valid elements, put null instead of invalid elements. - if (writeNode(state, level + 1, value, true, true, false, true) || - (typeof value === 'undefined' && - writeNode(state, level + 1, null, true, true, false, true))) { + ch = state.input.charCodeAt(state.position); + lineBreaks++; + state.lineIndent = 0; - if (!compact || _result !== '') { - _result += generateNextLine(state, level); + while (ch === 0x20 /* Space */) { + state.lineIndent++; + ch = state.input.charCodeAt(++state.position); + } + } else { + break; + } } - if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { - _result += '-'; - } else { - _result += '- '; + if (checkIndent !== -1 && lineBreaks !== 0 && state.lineIndent < checkIndent) { + throwWarning(state, 'deficient indentation'); } - _result += state.dump; + return lineBreaks; } - } - - state.tag = _tag; - state.dump = _result || '[]'; // Empty sequence if no valid values. -} -function writeFlowMapping(state, level, object) { - var _result = '', - _tag = state.tag, - objectKeyList = Object.keys(object), - index, - length, - objectKey, - objectValue, - pairBuffer; + function testDocumentSeparator(state) { + var _position = state.position, ch; - for (index = 0, length = objectKeyList.length; index < length; index += 1) { + ch = state.input.charCodeAt(_position); - pairBuffer = ''; - if (_result !== '') pairBuffer += ', '; + // Condition state.position === state.lineStart is tested + // in parent on each call, for efficiency. No needs to test here again. + if ((ch === 0x2D /* - */ || ch === 0x2E /* . */) && ch === state.input.charCodeAt(_position + 1) && + ch === state.input.charCodeAt(_position + 2)) { + _position += 3; - if (state.condenseFlow) pairBuffer += '"'; + ch = state.input.charCodeAt(_position); - objectKey = objectKeyList[index]; - objectValue = object[objectKey]; + if (ch === 0 || is_WS_OR_EOL(ch)) { + return true; + } + } - if (state.replacer) { - objectValue = state.replacer.call(object, objectKey, objectValue); + return false; } - if (!writeNode(state, level, objectKey, false, false)) { - continue; // Skip this pair because of invalid key; + function writeFoldedLines(state, count) { + if (count === 1) { + state.result += ' '; + } else if (count > 1) { + state.result += common.repeat('\n', count - 1); + } } - if (state.dump.length > 1024) pairBuffer += '? '; + function readPlainScalar(state, nodeIndent, withinFlowCollection) { + var preceding, following, captureStart, captureEnd, hasPendingContent, _line, _lineStart, _lineIndent, + _kind = state.kind, _result = state.result, ch; - pairBuffer += state.dump + (state.condenseFlow ? '"' : '') + ':' + (state.condenseFlow ? '' : ' '); + ch = state.input.charCodeAt(state.position); - if (!writeNode(state, level, objectValue, false, false)) { - continue; // Skip this pair because of invalid value. - } + if (is_WS_OR_EOL(ch) || is_FLOW_INDICATOR(ch) || ch === 0x23 /* # */ || ch === 0x26 /* & */ || + ch === 0x2A /* * */ || ch === 0x21 /* ! */ || ch === 0x7C /* | */ || ch === 0x3E /* > */ || + ch === 0x27 /* ' */ || ch === 0x22 /* " */ || ch === 0x25 /* % */ || ch === 0x40 /* @ */ || + ch === 0x60 /* ` */) { + return false; + } - pairBuffer += state.dump; + if (ch === 0x3F /* ? */ || ch === 0x2D /* - */) { + following = state.input.charCodeAt(state.position + 1); - // Both key and value are valid. - _result += pairBuffer; - } + if (is_WS_OR_EOL(following) || withinFlowCollection && is_FLOW_INDICATOR(following)) { + return false; + } + } - state.tag = _tag; - state.dump = '{' + _result + '}'; -} + state.kind = 'scalar'; + state.result = ''; + captureStart = captureEnd = state.position; + hasPendingContent = false; -function writeBlockMapping(state, level, object, compact) { - var _result = '', - _tag = state.tag, - objectKeyList = Object.keys(object), - index, - length, - objectKey, - objectValue, - explicitPair, - pairBuffer; - - // Allow sorting keys so that the output file is deterministic - if (state.sortKeys === true) { - // Default sorting - objectKeyList.sort(); - } else if (typeof state.sortKeys === 'function') { - // Custom sort function - objectKeyList.sort(state.sortKeys); - } else if (state.sortKeys) { - // Something is wrong - throw new YAMLException('sortKeys must be a boolean or a function'); - } + while (ch !== 0) { + if (ch === 0x3A /* : */) { + following = state.input.charCodeAt(state.position + 1); + + if (is_WS_OR_EOL(following) || withinFlowCollection && is_FLOW_INDICATOR(following)) { + break; + } - for (index = 0, length = objectKeyList.length; index < length; index += 1) { - pairBuffer = ''; + } else if (ch === 0x23 /* # */) { + preceding = state.input.charCodeAt(state.position - 1); - if (!compact || _result !== '') { - pairBuffer += generateNextLine(state, level); - } + if (is_WS_OR_EOL(preceding)) { + break; + } - objectKey = objectKeyList[index]; - objectValue = object[objectKey]; + } else if ( + (state.position === state.lineStart && testDocumentSeparator(state)) || + withinFlowCollection && is_FLOW_INDICATOR(ch)) { + break; - if (state.replacer) { - objectValue = state.replacer.call(object, objectKey, objectValue); - } + } else if (is_EOL(ch)) { + _line = state.line; + _lineStart = state.lineStart; + _lineIndent = state.lineIndent; + skipSeparationSpace(state, false, -1); - if (!writeNode(state, level + 1, objectKey, true, true, true)) { - continue; // Skip this pair because of invalid key. - } + if (state.lineIndent >= nodeIndent) { + hasPendingContent = true; + ch = state.input.charCodeAt(state.position); + continue; + } else { + state.position = captureEnd; + state.line = _line; + state.lineStart = _lineStart; + state.lineIndent = _lineIndent; + break; + } + } - explicitPair = (state.tag !== null && state.tag !== '?') || - (state.dump && state.dump.length > 1024); + if (hasPendingContent) { + captureSegment(state, captureStart, captureEnd, false); + writeFoldedLines(state, state.line - _line); + captureStart = captureEnd = state.position; + hasPendingContent = false; + } - if (explicitPair) { - if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { - pairBuffer += '?'; - } else { - pairBuffer += '? '; - } - } + if (!is_WHITE_SPACE(ch)) { + captureEnd = state.position + 1; + } - pairBuffer += state.dump; + ch = state.input.charCodeAt(++state.position); + } - if (explicitPair) { - pairBuffer += generateNextLine(state, level); - } + captureSegment(state, captureStart, captureEnd, false); - if (!writeNode(state, level + 1, objectValue, true, explicitPair)) { - continue; // Skip this pair because of invalid value. - } + if (state.result) { + return true; + } - if (state.dump && CHAR_LINE_FEED === state.dump.charCodeAt(0)) { - pairBuffer += ':'; - } else { - pairBuffer += ': '; + state.kind = _kind; + state.result = _result; + return false; } - pairBuffer += state.dump; + function readSingleQuotedScalar(state, nodeIndent) { + var ch, captureStart, captureEnd; - // Both key and value are valid. - _result += pairBuffer; - } - - state.tag = _tag; - state.dump = _result || '{}'; // Empty mapping if no valid pairs. -} + ch = state.input.charCodeAt(state.position); -function detectType(state, object, explicit) { - var _result, typeList, index, length, type, style; + if (ch !== 0x27 /* ' */) { + return false; + } - typeList = explicit ? state.explicitTypes : state.implicitTypes; + state.kind = 'scalar'; + state.result = ''; + state.position++; + captureStart = captureEnd = state.position; - for (index = 0, length = typeList.length; index < length; index += 1) { - type = typeList[index]; + while ((ch = state.input.charCodeAt(state.position)) !== 0) { + if (ch === 0x27 /* ' */) { + captureSegment(state, captureStart, state.position, true); + ch = state.input.charCodeAt(++state.position); - if ((type.instanceOf || type.predicate) && - (!type.instanceOf || ((typeof object === 'object') && (object instanceof type.instanceOf))) && - (!type.predicate || type.predicate(object))) { + if (ch === 0x27 /* ' */) { + captureStart = state.position; + state.position++; + captureEnd = state.position; + } else { + return true; + } - if (explicit) { - if (type.multi && type.representName) { - state.tag = type.representName(object); - } else { - state.tag = type.tag; - } - } else { - state.tag = '?'; - } + } else if (is_EOL(ch)) { + captureSegment(state, captureStart, captureEnd, true); + writeFoldedLines(state, skipSeparationSpace(state, false, nodeIndent)); + captureStart = captureEnd = state.position; - if (type.represent) { - style = state.styleMap[type.tag] || type.defaultStyle; + } else if (state.position === state.lineStart && testDocumentSeparator(state)) { + throwError(state, 'unexpected end of the document within a single quoted scalar'); - if (_toString.call(type.represent) === '[object Function]') { - _result = type.represent(object, style); - } else if (_hasOwnProperty.call(type.represent, style)) { - _result = type.represent[style](object, style); } else { - throw new YAMLException('!<' + type.tag + '> tag resolver accepts not "' + style + '" style'); + state.position++; + captureEnd = state.position; } - - state.dump = _result; } - return true; + throwError(state, 'unexpected end of the stream within a single quoted scalar'); } - } - return false; -} + function readDoubleQuotedScalar(state, nodeIndent) { + var captureStart, captureEnd, hexLength, hexResult, tmp, ch; -// Serializes `object` and writes it to global `result`. -// Returns true on success, or false on invalid object. -// -function writeNode(state, level, object, block, compact, iskey, isblockseq) { - state.tag = null; - state.dump = object; + ch = state.input.charCodeAt(state.position); - if (!detectType(state, object, false)) { - detectType(state, object, true); - } + if (ch !== 0x22 /* " */) { + return false; + } - var type = _toString.call(state.dump); - var inblock = block; - var tagStr; + state.kind = 'scalar'; + state.result = ''; + state.position++; + captureStart = captureEnd = state.position; - if (block) { - block = (state.flowLevel < 0 || state.flowLevel > level); - } + while ((ch = state.input.charCodeAt(state.position)) !== 0) { + if (ch === 0x22 /* " */) { + captureSegment(state, captureStart, state.position, true); + state.position++; + return true; - var objectOrArray = type === '[object Object]' || type === '[object Array]', - duplicateIndex, - duplicate; + } else if (ch === 0x5C /* \ */) { + captureSegment(state, captureStart, state.position, true); + ch = state.input.charCodeAt(++state.position); - if (objectOrArray) { - duplicateIndex = state.duplicates.indexOf(object); - duplicate = duplicateIndex !== -1; - } + if (is_EOL(ch)) { + skipSeparationSpace(state, false, nodeIndent); - if ((state.tag !== null && state.tag !== '?') || duplicate || (state.indent !== 2 && level > 0)) { - compact = false; - } + // TODO: rework to inline fn with no type cast? + } else if (ch < 256 && simpleEscapeCheck[ch]) { + state.result += simpleEscapeMap[ch]; + state.position++; - if (duplicate && state.usedDuplicates[duplicateIndex]) { - state.dump = '*ref_' + duplicateIndex; - } else { - if (objectOrArray && duplicate && !state.usedDuplicates[duplicateIndex]) { - state.usedDuplicates[duplicateIndex] = true; - } - if (type === '[object Object]') { - if (block && (Object.keys(state.dump).length !== 0)) { - writeBlockMapping(state, level, state.dump, compact); - if (duplicate) { - state.dump = '&ref_' + duplicateIndex + state.dump; - } - } else { - writeFlowMapping(state, level, state.dump); - if (duplicate) { - state.dump = '&ref_' + duplicateIndex + ' ' + state.dump; - } - } - } else if (type === '[object Array]') { - if (block && (state.dump.length !== 0)) { - if (state.noArrayIndent && !isblockseq && level > 0) { - writeBlockSequence(state, level - 1, state.dump, compact); - } else { - writeBlockSequence(state, level, state.dump, compact); - } - if (duplicate) { - state.dump = '&ref_' + duplicateIndex + state.dump; - } - } else { - writeFlowSequence(state, level, state.dump); - if (duplicate) { - state.dump = '&ref_' + duplicateIndex + ' ' + state.dump; - } - } - } else if (type === '[object String]') { - if (state.tag !== '?') { - writeScalar(state, state.dump, level, iskey, inblock); - } - } else if (type === '[object Undefined]') { - return false; - } else { - if (state.skipInvalid) return false; - throw new YAMLException('unacceptable kind of an object to dump ' + type); - } + } else if ((tmp = escapedHexLen(ch)) > 0) { + hexLength = tmp; + hexResult = 0; - if (state.tag !== null && state.tag !== '?') { - // Need to encode all characters except those allowed by the spec: - // - // [35] ns-dec-digit ::= [#x30-#x39] /* 0-9 */ - // [36] ns-hex-digit ::= ns-dec-digit - // | [#x41-#x46] /* A-F */ | [#x61-#x66] /* a-f */ - // [37] ns-ascii-letter ::= [#x41-#x5A] /* A-Z */ | [#x61-#x7A] /* a-z */ - // [38] ns-word-char ::= ns-dec-digit | ns-ascii-letter | “-” - // [39] ns-uri-char ::= “%” ns-hex-digit ns-hex-digit | ns-word-char | “#” - // | “;” | “/” | “?” | “:” | “@” | “&” | “=” | “+” | “$” | “,” - // | “_” | “.” | “!” | “~” | “*” | “'” | “(” | “)” | “[” | “]” - // - // Also need to encode '!' because it has special meaning (end of tag prefix). - // - tagStr = encodeURI( - state.tag[0] === '!' ? state.tag.slice(1) : state.tag - ).replace(/!/g, '%21'); - - if (state.tag[0] === '!') { - tagStr = '!' + tagStr; - } else if (tagStr.slice(0, 18) === 'tag:yaml.org,2002:') { - tagStr = '!!' + tagStr.slice(18); - } else { - tagStr = '!<' + tagStr + '>'; - } + for (; hexLength > 0; hexLength--) { + ch = state.input.charCodeAt(++state.position); - state.dump = tagStr + ' ' + state.dump; - } - } + if ((tmp = fromHexCode(ch)) >= 0) { + hexResult = (hexResult << 4) + tmp; - return true; -} + } else { + throwError(state, 'expected hexadecimal character'); + } + } -function getDuplicateReferences(object, state) { - var objects = [], - duplicatesIndexes = [], - index, - length; + state.result += charFromCodepoint(hexResult); - inspectNode(object, objects, duplicatesIndexes); + state.position++; - for (index = 0, length = duplicatesIndexes.length; index < length; index += 1) { - state.duplicates.push(objects[duplicatesIndexes[index]]); - } - state.usedDuplicates = new Array(length); -} + } else { + throwError(state, 'unknown escape sequence'); + } -function inspectNode(object, objects, duplicatesIndexes) { - var objectKeyList, - index, - length; + captureStart = captureEnd = state.position; - if (object !== null && typeof object === 'object') { - index = objects.indexOf(object); - if (index !== -1) { - if (duplicatesIndexes.indexOf(index) === -1) { - duplicatesIndexes.push(index); - } - } else { - objects.push(object); + } else if (is_EOL(ch)) { + captureSegment(state, captureStart, captureEnd, true); + writeFoldedLines(state, skipSeparationSpace(state, false, nodeIndent)); + captureStart = captureEnd = state.position; - if (Array.isArray(object)) { - for (index = 0, length = object.length; index < length; index += 1) { - inspectNode(object[index], objects, duplicatesIndexes); - } - } else { - objectKeyList = Object.keys(object); + } else if (state.position === state.lineStart && testDocumentSeparator(state)) { + throwError(state, 'unexpected end of the document within a double quoted scalar'); - for (index = 0, length = objectKeyList.length; index < length; index += 1) { - inspectNode(object[objectKeyList[index]], objects, duplicatesIndexes); + } else { + state.position++; + captureEnd = state.position; } } - } - } -} -function dump(input, options) { - options = options || {}; + throwError(state, 'unexpected end of the stream within a double quoted scalar'); + } - var state = new State(options); + function readFlowCollection(state, nodeIndent) { + var readNext = true, _line, _lineStart, _pos, _tag = state.tag, _result, _anchor = state.anchor, following, + terminator, isPair, isExplicitPair, isMapping, overridableKeys = Object.create(null), keyNode, keyTag, + valueNode, ch; - if (!state.noRefs) getDuplicateReferences(input, state); + ch = state.input.charCodeAt(state.position); - var value = input; + if (ch === 0x5B /* [ */) { + terminator = 0x5D; /* ] */ + isMapping = false; + _result = []; + } else if (ch === 0x7B /* { */) { + terminator = 0x7D; /* } */ + isMapping = true; + _result = {}; + } else { + return false; + } - if (state.replacer) { - value = state.replacer.call({ '': value }, '', value); - } + if (state.anchor !== null) { + state.anchorMap[state.anchor] = _result; + } - if (writeNode(state, 0, value, true, true)) return state.dump + '\n'; + ch = state.input.charCodeAt(++state.position); - return ''; -} + while (ch !== 0) { + skipSeparationSpace(state, true, nodeIndent); -module.exports.dump = dump; + ch = state.input.charCodeAt(state.position); + if (ch === terminator) { + state.position++; + state.tag = _tag; + state.anchor = _anchor; + state.kind = isMapping ? 'mapping' : 'sequence'; + state.result = _result; + return true; + } else if (!readNext) { + throwError(state, 'missed comma between flow collection entries'); + } else if (ch === 0x2C /* , */) { + // "flow collection entries can never be completely empty", as per YAML 1.2, section 7.4 + throwError(state, "expected the node content, but found ','"); + } -/***/ }), + keyTag = keyNode = valueNode = null; + isPair = isExplicitPair = false; -/***/ 8179: -/***/ ((module) => { + if (ch === 0x3F /* ? */) { + following = state.input.charCodeAt(state.position + 1); -"use strict"; -// YAML error class. http://stackoverflow.com/questions/8458984 -// + if (is_WS_OR_EOL(following)) { + isPair = isExplicitPair = true; + state.position++; + skipSeparationSpace(state, true, nodeIndent); + } + } + _line = state.line; // Save the current line. + _lineStart = state.lineStart; + _pos = state.position; + composeNode(state, nodeIndent, CONTEXT_FLOW_IN, false, true); + keyTag = state.tag; + keyNode = state.result; + skipSeparationSpace(state, true, nodeIndent); + ch = state.input.charCodeAt(state.position); -function formatError(exception, compact) { - var where = '', message = exception.reason || '(unknown reason)'; + if ((isExplicitPair || state.line === _line) && ch === 0x3A /* : */) { + isPair = true; + ch = state.input.charCodeAt(++state.position); + skipSeparationSpace(state, true, nodeIndent); + composeNode(state, nodeIndent, CONTEXT_FLOW_IN, false, true); + valueNode = state.result; + } - if (!exception.mark) return message; + if (isMapping) { + storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, valueNode, _line, _lineStart, _pos); + } else if (isPair) { + _result.push( + storeMappingPair(state, null, overridableKeys, keyTag, keyNode, valueNode, _line, _lineStart, _pos)); + } else { + _result.push(keyNode); + } - if (exception.mark.name) { - where += 'in "' + exception.mark.name + '" '; - } + skipSeparationSpace(state, true, nodeIndent); - where += '(' + (exception.mark.line + 1) + ':' + (exception.mark.column + 1) + ')'; + ch = state.input.charCodeAt(state.position); - if (!compact && exception.mark.snippet) { - where += '\n\n' + exception.mark.snippet; - } + if (ch === 0x2C /* , */) { + readNext = true; + ch = state.input.charCodeAt(++state.position); + } else { + readNext = false; + } + } - return message + ' ' + where; -} + throwError(state, 'unexpected end of the stream within a flow collection'); + } + function readBlockScalar(state, nodeIndent) { + var captureStart, folding, chomping = CHOMPING_CLIP, didReadContent = false, detectedIndent = false, + textIndent = nodeIndent, emptyLines = 0, atMoreIndented = false, tmp, ch; -function YAMLException(reason, mark) { - // Super constructor - Error.call(this); + ch = state.input.charCodeAt(state.position); - this.name = 'YAMLException'; - this.reason = reason; - this.mark = mark; - this.message = formatError(this, false); + if (ch === 0x7C /* | */) { + folding = false; + } else if (ch === 0x3E /* > */) { + folding = true; + } else { + return false; + } - // Include stack trace in error object - if (Error.captureStackTrace) { - // Chrome and NodeJS - Error.captureStackTrace(this, this.constructor); - } else { - // FF, IE 10+ and Safari 6+. Fallback for others - this.stack = (new Error()).stack || ''; - } -} + state.kind = 'scalar'; + state.result = ''; + while (ch !== 0) { + ch = state.input.charCodeAt(++state.position); -// Inherit from Error -YAMLException.prototype = Object.create(Error.prototype); -YAMLException.prototype.constructor = YAMLException; + if (ch === 0x2B /* + */ || ch === 0x2D /* - */) { + if (CHOMPING_CLIP === chomping) { + chomping = (ch === 0x2B /* + */) ? CHOMPING_KEEP : CHOMPING_STRIP; + } else { + throwError(state, 'repeat of a chomping mode identifier'); + } + } else if ((tmp = fromDecimalCode(ch)) >= 0) { + if (tmp === 0) { + throwError(state, 'bad explicit indentation width of a block scalar; it cannot be less than one'); + } else if (!detectedIndent) { + textIndent = nodeIndent + tmp - 1; + detectedIndent = true; + } else { + throwError(state, 'repeat of an indentation width identifier'); + } -YAMLException.prototype.toString = function toString(compact) { - return this.name + ': ' + formatError(this, compact); -}; + } else { + break; + } + } + if (is_WHITE_SPACE(ch)) { + do { + ch = state.input.charCodeAt(++state.position); + } while (is_WHITE_SPACE(ch)); -module.exports = YAMLException; + if (ch === 0x23 /* # */) { + do { + ch = state.input.charCodeAt(++state.position); + } while (!is_EOL(ch) && (ch !== 0)); + } + } + while (ch !== 0) { + readLineBreak(state); + state.lineIndent = 0; -/***/ }), + ch = state.input.charCodeAt(state.position); -/***/ 1161: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + while ((!detectedIndent || state.lineIndent < textIndent) && (ch === 0x20 /* Space */)) { + state.lineIndent++; + ch = state.input.charCodeAt(++state.position); + } -"use strict"; + if (!detectedIndent && state.lineIndent > textIndent) { + textIndent = state.lineIndent; + } + if (is_EOL(ch)) { + emptyLines++; + continue; + } -/*eslint-disable max-len,no-use-before-define*/ + // End of the scalar. + if (state.lineIndent < textIndent) { + // Perform the chomping. + if (chomping === CHOMPING_KEEP) { + state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); + } else if (chomping === CHOMPING_CLIP) { + if (didReadContent) { // i.e. only if the scalar is not empty. + state.result += '\n'; + } + } -var common = __nccwpck_require__(6829); -var YAMLException = __nccwpck_require__(8179); -var makeSnippet = __nccwpck_require__(6975); -var DEFAULT_SCHEMA = __nccwpck_require__(8759); + // Break this `while` cycle and go to the funciton's epilogue. + break; + } + // Folded style: use fancy rules to handle line breaks. + if (folding) { + // Lines starting with white space characters (more-indented lines) are not folded. + if (is_WHITE_SPACE(ch)) { + atMoreIndented = true; + // except for the first content line (cf. Example 8.1) + state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); + + // End of more-indented block. + } else if (atMoreIndented) { + atMoreIndented = false; + state.result += common.repeat('\n', emptyLines + 1); + + // Just one line break - perceive as the same line. + } else if (emptyLines === 0) { + if (didReadContent) { // i.e. only if we have already read some scalar content. + state.result += ' '; + } -var _hasOwnProperty = Object.prototype.hasOwnProperty; + // Several line breaks - perceive as different lines. + } else { + state.result += common.repeat('\n', emptyLines); + } + // Literal style: just add exact number of line breaks between content lines. + } else { + // Keep all line breaks except the header line break. + state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); + } -var CONTEXT_FLOW_IN = 1; -var CONTEXT_FLOW_OUT = 2; -var CONTEXT_BLOCK_IN = 3; -var CONTEXT_BLOCK_OUT = 4; + didReadContent = true; + detectedIndent = true; + emptyLines = 0; + captureStart = state.position; + while (!is_EOL(ch) && (ch !== 0)) { + ch = state.input.charCodeAt(++state.position); + } -var CHOMPING_CLIP = 1; -var CHOMPING_STRIP = 2; -var CHOMPING_KEEP = 3; + captureSegment(state, captureStart, state.position, false); + } + return true; + } -var PATTERN_NON_PRINTABLE = /[\x00-\x08\x0B\x0C\x0E-\x1F\x7F-\x84\x86-\x9F\uFFFE\uFFFF]|[\uD800-\uDBFF](?![\uDC00-\uDFFF])|(?:[^\uD800-\uDBFF]|^)[\uDC00-\uDFFF]/; -var PATTERN_NON_ASCII_LINE_BREAKS = /[\x85\u2028\u2029]/; -var PATTERN_FLOW_INDICATORS = /[,\[\]\{\}]/; -var PATTERN_TAG_HANDLE = /^(?:!|!!|![a-z\-]+!)$/i; -var PATTERN_TAG_URI = /^(?:!|[^,\[\]\{\}])(?:%[0-9a-f]{2}|[0-9a-z\-#;\/\?:@&=\+\$,_\.!~\*'\(\)\[\]])*$/i; + function readBlockSequence(state, nodeIndent) { + var _line, _tag = state.tag, _anchor = state.anchor, _result = [], following, detected = false, ch; + // there is a leading tab before this token, so it can't be a block sequence/mapping; + // it can still be flow sequence/mapping or a scalar + if (state.firstTabInLine !== -1) + return false; -function _class(obj) { return Object.prototype.toString.call(obj); } + if (state.anchor !== null) { + state.anchorMap[state.anchor] = _result; + } -function is_EOL(c) { - return (c === 0x0A/* LF */) || (c === 0x0D/* CR */); -} + ch = state.input.charCodeAt(state.position); -function is_WHITE_SPACE(c) { - return (c === 0x09/* Tab */) || (c === 0x20/* Space */); -} + while (ch !== 0) { + if (state.firstTabInLine !== -1) { + state.position = state.firstTabInLine; + throwError(state, 'tab characters must not be used in indentation'); + } -function is_WS_OR_EOL(c) { - return (c === 0x09/* Tab */) || - (c === 0x20/* Space */) || - (c === 0x0A/* LF */) || - (c === 0x0D/* CR */); -} + if (ch !== 0x2D /* - */) { + break; + } -function is_FLOW_INDICATOR(c) { - return c === 0x2C/* , */ || - c === 0x5B/* [ */ || - c === 0x5D/* ] */ || - c === 0x7B/* { */ || - c === 0x7D/* } */; -} + following = state.input.charCodeAt(state.position + 1); -function fromHexCode(c) { - var lc; + if (!is_WS_OR_EOL(following)) { + break; + } - if ((0x30/* 0 */ <= c) && (c <= 0x39/* 9 */)) { - return c - 0x30; - } + detected = true; + state.position++; - /*eslint-disable no-bitwise*/ - lc = c | 0x20; + if (skipSeparationSpace(state, true, -1)) { + if (state.lineIndent <= nodeIndent) { + _result.push(null); + ch = state.input.charCodeAt(state.position); + continue; + } + } - if ((0x61/* a */ <= lc) && (lc <= 0x66/* f */)) { - return lc - 0x61 + 10; - } + _line = state.line; + composeNode(state, nodeIndent, CONTEXT_BLOCK_IN, false, true); + _result.push(state.result); + skipSeparationSpace(state, true, -1); - return -1; -} + ch = state.input.charCodeAt(state.position); -function escapedHexLen(c) { - if (c === 0x78/* x */) { return 2; } - if (c === 0x75/* u */) { return 4; } - if (c === 0x55/* U */) { return 8; } - return 0; -} + if ((state.line === _line || state.lineIndent > nodeIndent) && (ch !== 0)) { + throwError(state, 'bad indentation of a sequence entry'); + } else if (state.lineIndent < nodeIndent) { + break; + } + } -function fromDecimalCode(c) { - if ((0x30/* 0 */ <= c) && (c <= 0x39/* 9 */)) { - return c - 0x30; - } + if (detected) { + state.tag = _tag; + state.anchor = _anchor; + state.kind = 'sequence'; + state.result = _result; + return true; + } + return false; + } - return -1; -} + function readBlockMapping(state, nodeIndent, flowIndent) { + var following, allowCompact, _line, _keyLine, _keyLineStart, _keyPos, + _tag = state.tag, _anchor = state.anchor, _result = {}, overridableKeys = Object.create(null), keyTag = null, + keyNode = null, valueNode = null, atExplicitKey = false, detected = false, ch; -function simpleEscapeSequence(c) { - /* eslint-disable indent */ - return (c === 0x30/* 0 */) ? '\x00' : - (c === 0x61/* a */) ? '\x07' : - (c === 0x62/* b */) ? '\x08' : - (c === 0x74/* t */) ? '\x09' : - (c === 0x09/* Tab */) ? '\x09' : - (c === 0x6E/* n */) ? '\x0A' : - (c === 0x76/* v */) ? '\x0B' : - (c === 0x66/* f */) ? '\x0C' : - (c === 0x72/* r */) ? '\x0D' : - (c === 0x65/* e */) ? '\x1B' : - (c === 0x20/* Space */) ? ' ' : - (c === 0x22/* " */) ? '\x22' : - (c === 0x2F/* / */) ? '/' : - (c === 0x5C/* \ */) ? '\x5C' : - (c === 0x4E/* N */) ? '\x85' : - (c === 0x5F/* _ */) ? '\xA0' : - (c === 0x4C/* L */) ? '\u2028' : - (c === 0x50/* P */) ? '\u2029' : ''; -} + // there is a leading tab before this token, so it can't be a block sequence/mapping; + // it can still be flow sequence/mapping or a scalar + if (state.firstTabInLine !== -1) + return false; -function charFromCodepoint(c) { - if (c <= 0xFFFF) { - return String.fromCharCode(c); - } - // Encode UTF-16 surrogate pair - // https://en.wikipedia.org/wiki/UTF-16#Code_points_U.2B010000_to_U.2B10FFFF - return String.fromCharCode( - ((c - 0x010000) >> 10) + 0xD800, - ((c - 0x010000) & 0x03FF) + 0xDC00 - ); -} + if (state.anchor !== null) { + state.anchorMap[state.anchor] = _result; + } -var simpleEscapeCheck = new Array(256); // integer, for fast access -var simpleEscapeMap = new Array(256); -for (var i = 0; i < 256; i++) { - simpleEscapeCheck[i] = simpleEscapeSequence(i) ? 1 : 0; - simpleEscapeMap[i] = simpleEscapeSequence(i); -} + ch = state.input.charCodeAt(state.position); + while (ch !== 0) { + if (!atExplicitKey && state.firstTabInLine !== -1) { + state.position = state.firstTabInLine; + throwError(state, 'tab characters must not be used in indentation'); + } -function State(input, options) { - this.input = input; + following = state.input.charCodeAt(state.position + 1); + _line = state.line; // Save the current line. + + // + // Explicit notation case. There are two separate blocks: + // first for the key (denoted by "?") and second for the value (denoted by ":") + // + if ((ch === 0x3F /* ? */ || ch === 0x3A /* : */) && is_WS_OR_EOL(following)) { + if (ch === 0x3F /* ? */) { + if (atExplicitKey) { + storeMappingPair( + state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); + keyTag = keyNode = valueNode = null; + } - this.filename = options['filename'] || null; - this.schema = options['schema'] || DEFAULT_SCHEMA; - this.onWarning = options['onWarning'] || null; - // (Hidden) Remove? makes the loader to expect YAML 1.1 documents - // if such documents have no explicit %YAML directive - this.legacy = options['legacy'] || false; + detected = true; + atExplicitKey = true; + allowCompact = true; - this.json = options['json'] || false; - this.listener = options['listener'] || null; + } else if (atExplicitKey) { + // i.e. 0x3A/* : */ === character after the explicit key. + atExplicitKey = false; + allowCompact = true; - this.implicitTypes = this.schema.compiledImplicit; - this.typeMap = this.schema.compiledTypeMap; + } else { + throwError( + state, + 'incomplete explicit mapping pair; a key node is missed; or followed by a non-tabulated empty line'); + } - this.length = input.length; - this.position = 0; - this.line = 0; - this.lineStart = 0; - this.lineIndent = 0; + state.position += 1; + ch = following; - // position of first leading tab in the current line, - // used to make sure there are no tabs in the indentation - this.firstTabInLine = -1; + // + // Implicit notation case. Flow-style node as the key first, then ":", and the value. + // + } else { + _keyLine = state.line; + _keyLineStart = state.lineStart; + _keyPos = state.position; + + if (!composeNode(state, flowIndent, CONTEXT_FLOW_OUT, false, true)) { + // Neither implicit nor explicit notation. + // Reading is done. Go to the epilogue. + break; + } - this.documents = []; + if (state.line === _line) { + ch = state.input.charCodeAt(state.position); - /* - this.version; - this.checkLineBreaks; - this.tagMap; - this.anchorMap; - this.tag; - this.anchor; - this.kind; - this.result;*/ + while (is_WHITE_SPACE(ch)) { + ch = state.input.charCodeAt(++state.position); + } -} + if (ch === 0x3A /* : */) { + ch = state.input.charCodeAt(++state.position); + if (!is_WS_OR_EOL(ch)) { + throwError( + state, 'a whitespace character is expected after the key-value separator within a block mapping'); + } -function generateError(state, message) { - var mark = { - name: state.filename, - buffer: state.input.slice(0, -1), // omit trailing \0 - position: state.position, - line: state.line, - column: state.position - state.lineStart - }; + if (atExplicitKey) { + storeMappingPair( + state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); + keyTag = keyNode = valueNode = null; + } - mark.snippet = makeSnippet(mark); + detected = true; + atExplicitKey = false; + allowCompact = false; + keyTag = state.tag; + keyNode = state.result; - return new YAMLException(message, mark); -} + } else if (detected) { + throwError(state, 'can not read an implicit mapping pair; a colon is missed'); -function throwError(state, message) { - throw generateError(state, message); -} + } else { + state.tag = _tag; + state.anchor = _anchor; + return true; // Keep the result of `composeNode`. + } -function throwWarning(state, message) { - if (state.onWarning) { - state.onWarning.call(null, generateError(state, message)); - } -} + } else if (detected) { + throwError(state, 'can not read a block mapping entry; a multiline key may not be an implicit key'); + } else { + state.tag = _tag; + state.anchor = _anchor; + return true; // Keep the result of `composeNode`. + } + } -var directiveHandlers = { + // + // Common reading code for both explicit and implicit notations. + // + if (state.line === _line || state.lineIndent > nodeIndent) { + if (atExplicitKey) { + _keyLine = state.line; + _keyLineStart = state.lineStart; + _keyPos = state.position; + } - YAML: function handleYamlDirective(state, name, args) { + if (composeNode(state, nodeIndent, CONTEXT_BLOCK_OUT, true, allowCompact)) { + if (atExplicitKey) { + keyNode = state.result; + } else { + valueNode = state.result; + } + } - var match, major, minor; + if (!atExplicitKey) { + storeMappingPair( + state, _result, overridableKeys, keyTag, keyNode, valueNode, _keyLine, _keyLineStart, _keyPos); + keyTag = keyNode = valueNode = null; + } - if (state.version !== null) { - throwError(state, 'duplication of %YAML directive'); - } + skipSeparationSpace(state, true, -1); + ch = state.input.charCodeAt(state.position); + } - if (args.length !== 1) { - throwError(state, 'YAML directive accepts exactly one argument'); - } + if ((state.line === _line || state.lineIndent > nodeIndent) && (ch !== 0)) { + throwError(state, 'bad indentation of a mapping entry'); + } else if (state.lineIndent < nodeIndent) { + break; + } + } - match = /^([0-9]+)\.([0-9]+)$/.exec(args[0]); + // + // Epilogue. + // - if (match === null) { - throwError(state, 'ill-formed argument of the YAML directive'); - } + // Special case: last mapping's node contains only the key in explicit notation. + if (atExplicitKey) { + storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); + } - major = parseInt(match[1], 10); - minor = parseInt(match[2], 10); + // Expose the resulting mapping. + if (detected) { + state.tag = _tag; + state.anchor = _anchor; + state.kind = 'mapping'; + state.result = _result; + } - if (major !== 1) { - throwError(state, 'unacceptable YAML version of the document'); + return detected; } - state.version = args[0]; - state.checkLineBreaks = (minor < 2); - - if (minor !== 1 && minor !== 2) { - throwWarning(state, 'unsupported YAML version of the document'); - } - }, + function readTagProperty(state) { + var _position, isVerbatim = false, isNamed = false, tagHandle, tagName, ch; - TAG: function handleTagDirective(state, name, args) { + ch = state.input.charCodeAt(state.position); - var handle, prefix; + if (ch !== 0x21 /* ! */) + return false; - if (args.length !== 2) { - throwError(state, 'TAG directive accepts exactly two arguments'); - } + if (state.tag !== null) { + throwError(state, 'duplication of a tag property'); + } - handle = args[0]; - prefix = args[1]; + ch = state.input.charCodeAt(++state.position); - if (!PATTERN_TAG_HANDLE.test(handle)) { - throwError(state, 'ill-formed tag handle (first argument) of the TAG directive'); - } + if (ch === 0x3C /* < */) { + isVerbatim = true; + ch = state.input.charCodeAt(++state.position); - if (_hasOwnProperty.call(state.tagMap, handle)) { - throwError(state, 'there is a previously declared suffix for "' + handle + '" tag handle'); - } + } else if (ch === 0x21 /* ! */) { + isNamed = true; + tagHandle = '!!'; + ch = state.input.charCodeAt(++state.position); - if (!PATTERN_TAG_URI.test(prefix)) { - throwError(state, 'ill-formed tag prefix (second argument) of the TAG directive'); - } + } else { + tagHandle = '!'; + } - try { - prefix = decodeURIComponent(prefix); - } catch (err) { - throwError(state, 'tag prefix is malformed: ' + prefix); - } + _position = state.position; - state.tagMap[handle] = prefix; - } -}; + if (isVerbatim) { + do { + ch = state.input.charCodeAt(++state.position); + } while (ch !== 0 && ch !== 0x3E /* > */); + if (state.position < state.length) { + tagName = state.input.slice(_position, state.position); + ch = state.input.charCodeAt(++state.position); + } else { + throwError(state, 'unexpected end of the stream within a verbatim tag'); + } + } else { + while (ch !== 0 && !is_WS_OR_EOL(ch)) { + if (ch === 0x21 /* ! */) { + if (!isNamed) { + tagHandle = state.input.slice(_position - 1, state.position + 1); -function captureSegment(state, start, end, checkJson) { - var _position, _length, _character, _result; + if (!PATTERN_TAG_HANDLE.test(tagHandle)) { + throwError(state, 'named tag handle cannot contain such characters'); + } - if (start < end) { - _result = state.input.slice(start, end); + isNamed = true; + _position = state.position + 1; + } else { + throwError(state, 'tag suffix cannot contain exclamation marks'); + } + } - if (checkJson) { - for (_position = 0, _length = _result.length; _position < _length; _position += 1) { - _character = _result.charCodeAt(_position); - if (!(_character === 0x09 || - (0x20 <= _character && _character <= 0x10FFFF))) { - throwError(state, 'expected valid JSON character'); + ch = state.input.charCodeAt(++state.position); } - } - } else if (PATTERN_NON_PRINTABLE.test(_result)) { - throwError(state, 'the stream contains non-printable characters'); - } - - state.result += _result; - } -} -function mergeMappings(state, destination, source, overridableKeys) { - var sourceKeys, key, index, quantity; + tagName = state.input.slice(_position, state.position); - if (!common.isObject(source)) { - throwError(state, 'cannot merge mappings; the provided source object is unacceptable'); - } + if (PATTERN_FLOW_INDICATORS.test(tagName)) { + throwError(state, 'tag suffix cannot contain flow indicator characters'); + } + } - sourceKeys = Object.keys(source); + if (tagName && !PATTERN_TAG_URI.test(tagName)) { + throwError(state, 'tag name cannot contain such characters: ' + tagName); + } - for (index = 0, quantity = sourceKeys.length; index < quantity; index += 1) { - key = sourceKeys[index]; + try { + tagName = decodeURIComponent(tagName); + } catch (err) { + throwError(state, 'tag name is malformed: ' + tagName); + } - if (!_hasOwnProperty.call(destination, key)) { - destination[key] = source[key]; - overridableKeys[key] = true; - } - } -} + if (isVerbatim) { + state.tag = tagName; -function storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, valueNode, - startLine, startLineStart, startPos) { + } else if (_hasOwnProperty.call(state.tagMap, tagHandle)) { + state.tag = state.tagMap[tagHandle] + tagName; - var index, quantity; + } else if (tagHandle === '!') { + state.tag = '!' + tagName; - // The output is a plain object here, so keys can only be strings. - // We need to convert keyNode to a string, but doing so can hang the process - // (deeply nested arrays that explode exponentially using aliases). - if (Array.isArray(keyNode)) { - keyNode = Array.prototype.slice.call(keyNode); + } else if (tagHandle === '!!') { + state.tag = 'tag:yaml.org,2002:' + tagName; - for (index = 0, quantity = keyNode.length; index < quantity; index += 1) { - if (Array.isArray(keyNode[index])) { - throwError(state, 'nested arrays are not supported inside keys'); + } else { + throwError(state, 'undeclared tag handle "' + tagHandle + '"'); } - if (typeof keyNode === 'object' && _class(keyNode[index]) === '[object Object]') { - keyNode[index] = '[object Object]'; - } + return true; } - } - - // Avoid code execution in load() via toString property - // (still use its own toString for arrays, timestamps, - // and whatever user schema extensions happen to have @@toStringTag) - if (typeof keyNode === 'object' && _class(keyNode) === '[object Object]') { - keyNode = '[object Object]'; - } + function readAnchorProperty(state) { + var _position, ch; - keyNode = String(keyNode); + ch = state.input.charCodeAt(state.position); - if (_result === null) { - _result = {}; - } + if (ch !== 0x26 /* & */) + return false; - if (keyTag === 'tag:yaml.org,2002:merge') { - if (Array.isArray(valueNode)) { - for (index = 0, quantity = valueNode.length; index < quantity; index += 1) { - mergeMappings(state, _result, valueNode[index], overridableKeys); + if (state.anchor !== null) { + throwError(state, 'duplication of an anchor property'); } - } else { - mergeMappings(state, _result, valueNode, overridableKeys); - } - } else { - if (!state.json && - !_hasOwnProperty.call(overridableKeys, keyNode) && - _hasOwnProperty.call(_result, keyNode)) { - state.line = startLine || state.line; - state.lineStart = startLineStart || state.lineStart; - state.position = startPos || state.position; - throwError(state, 'duplicated mapping key'); - } - - // used for this specific key only because Object.defineProperty is slow - if (keyNode === '__proto__') { - Object.defineProperty(_result, keyNode, { - configurable: true, - enumerable: true, - writable: true, - value: valueNode - }); - } else { - _result[keyNode] = valueNode; - } - delete overridableKeys[keyNode]; - } - return _result; -} + ch = state.input.charCodeAt(++state.position); + _position = state.position; -function readLineBreak(state) { - var ch; + while (ch !== 0 && !is_WS_OR_EOL(ch) && !is_FLOW_INDICATOR(ch)) { + ch = state.input.charCodeAt(++state.position); + } - ch = state.input.charCodeAt(state.position); + if (state.position === _position) { + throwError(state, 'name of an anchor node must contain at least one character'); + } - if (ch === 0x0A/* LF */) { - state.position++; - } else if (ch === 0x0D/* CR */) { - state.position++; - if (state.input.charCodeAt(state.position) === 0x0A/* LF */) { - state.position++; + state.anchor = state.input.slice(_position, state.position); + return true; } - } else { - throwError(state, 'a line break is expected'); - } - state.line += 1; - state.lineStart = state.position; - state.firstTabInLine = -1; -} + function readAlias(state) { + var _position, alias, ch; -function skipSeparationSpace(state, allowComments, checkIndent) { - var lineBreaks = 0, ch = state.input.charCodeAt(state.position); - while (ch !== 0) { - while (is_WHITE_SPACE(ch)) { - if (ch === 0x09/* Tab */ && state.firstTabInLine === -1) { - state.firstTabInLine = state.position; - } + if (ch !== 0x2A /* * */) + return false; + ch = state.input.charCodeAt(++state.position); - } + _position = state.position; - if (allowComments && ch === 0x23/* # */) { - do { + while (ch !== 0 && !is_WS_OR_EOL(ch) && !is_FLOW_INDICATOR(ch)) { ch = state.input.charCodeAt(++state.position); - } while (ch !== 0x0A/* LF */ && ch !== 0x0D/* CR */ && ch !== 0); - } + } - if (is_EOL(ch)) { - readLineBreak(state); + if (state.position === _position) { + throwError(state, 'name of an alias node must contain at least one character'); + } - ch = state.input.charCodeAt(state.position); - lineBreaks++; - state.lineIndent = 0; + alias = state.input.slice(_position, state.position); - while (ch === 0x20/* Space */) { - state.lineIndent++; - ch = state.input.charCodeAt(++state.position); + if (!_hasOwnProperty.call(state.anchorMap, alias)) { + throwError(state, 'unidentified alias "' + alias + '"'); } - } else { - break; - } - } - if (checkIndent !== -1 && lineBreaks !== 0 && state.lineIndent < checkIndent) { - throwWarning(state, 'deficient indentation'); - } + state.result = state.anchorMap[alias]; + skipSeparationSpace(state, true, -1); + return true; + } - return lineBreaks; -} + function composeNode(state, parentIndent, nodeContext, allowToSeek, allowCompact) { + var allowBlockStyles, allowBlockScalars, allowBlockCollections, + indentStatus = 1, // 1: this>parent, 0: this=parent, -1: this parentIndent) { + indentStatus = 1; + } else if (state.lineIndent === parentIndent) { + indentStatus = 0; + } else if (state.lineIndent < parentIndent) { + indentStatus = -1; + } + } + } - if (ch === 0 || is_WS_OR_EOL(ch)) { - return true; - } - } + if (indentStatus === 1) { + while (readTagProperty(state) || readAnchorProperty(state)) { + if (skipSeparationSpace(state, true, -1)) { + atNewLine = true; + allowBlockCollections = allowBlockStyles; + + if (state.lineIndent > parentIndent) { + indentStatus = 1; + } else if (state.lineIndent === parentIndent) { + indentStatus = 0; + } else if (state.lineIndent < parentIndent) { + indentStatus = -1; + } + } else { + allowBlockCollections = false; + } + } + } - return false; -} + if (allowBlockCollections) { + allowBlockCollections = atNewLine || allowCompact; + } -function writeFoldedLines(state, count) { - if (count === 1) { - state.result += ' '; - } else if (count > 1) { - state.result += common.repeat('\n', count - 1); - } -} + if (indentStatus === 1 || CONTEXT_BLOCK_OUT === nodeContext) { + if (CONTEXT_FLOW_IN === nodeContext || CONTEXT_FLOW_OUT === nodeContext) { + flowIndent = parentIndent; + } else { + flowIndent = parentIndent + 1; + } + blockIndent = state.position - state.lineStart; -function readPlainScalar(state, nodeIndent, withinFlowCollection) { - var preceding, - following, - captureStart, - captureEnd, - hasPendingContent, - _line, - _lineStart, - _lineIndent, - _kind = state.kind, - _result = state.result, - ch; - - ch = state.input.charCodeAt(state.position); - - if (is_WS_OR_EOL(ch) || - is_FLOW_INDICATOR(ch) || - ch === 0x23/* # */ || - ch === 0x26/* & */ || - ch === 0x2A/* * */ || - ch === 0x21/* ! */ || - ch === 0x7C/* | */ || - ch === 0x3E/* > */ || - ch === 0x27/* ' */ || - ch === 0x22/* " */ || - ch === 0x25/* % */ || - ch === 0x40/* @ */ || - ch === 0x60/* ` */) { - return false; - } + if (indentStatus === 1) { + if (allowBlockCollections && + (readBlockSequence(state, blockIndent) || readBlockMapping(state, blockIndent, flowIndent)) || + readFlowCollection(state, flowIndent)) { + hasContent = true; + } else { + if ((allowBlockScalars && readBlockScalar(state, flowIndent)) || + readSingleQuotedScalar(state, flowIndent) || readDoubleQuotedScalar(state, flowIndent)) { + hasContent = true; - if (ch === 0x3F/* ? */ || ch === 0x2D/* - */) { - following = state.input.charCodeAt(state.position + 1); + } else if (readAlias(state)) { + hasContent = true; - if (is_WS_OR_EOL(following) || - withinFlowCollection && is_FLOW_INDICATOR(following)) { - return false; - } - } + if (state.tag !== null || state.anchor !== null) { + throwError(state, 'alias node should not have any properties'); + } - state.kind = 'scalar'; - state.result = ''; - captureStart = captureEnd = state.position; - hasPendingContent = false; + } else if (readPlainScalar(state, flowIndent, CONTEXT_FLOW_IN === nodeContext)) { + hasContent = true; - while (ch !== 0) { - if (ch === 0x3A/* : */) { - following = state.input.charCodeAt(state.position + 1); + if (state.tag === null) { + state.tag = '?'; + } + } - if (is_WS_OR_EOL(following) || - withinFlowCollection && is_FLOW_INDICATOR(following)) { - break; + if (state.anchor !== null) { + state.anchorMap[state.anchor] = state.result; + } + } + } else if (indentStatus === 0) { + // Special case: block sequences are allowed to have same indentation level as the parent. + // http://www.yaml.org/spec/1.2/spec.html#id2799784 + hasContent = allowBlockCollections && readBlockSequence(state, blockIndent); + } } - } else if (ch === 0x23/* # */) { - preceding = state.input.charCodeAt(state.position - 1); + if (state.tag === null) { + if (state.anchor !== null) { + state.anchorMap[state.anchor] = state.result; + } - if (is_WS_OR_EOL(preceding)) { - break; - } + } else if (state.tag === '?') { + // Implicit resolving is not allowed for non-scalar types, and '?' + // non-specific tag is only automatically assigned to plain scalars. + // + // We only need to check kind conformity in case user explicitly assigns '?' + // tag, for example like this: "! [0]" + // + if (state.result !== null && state.kind !== 'scalar') { + throwError(state, 'unacceptable node kind for ! tag; it should be "scalar", not "' + state.kind + '"'); + } - } else if ((state.position === state.lineStart && testDocumentSeparator(state)) || - withinFlowCollection && is_FLOW_INDICATOR(ch)) { - break; + for (typeIndex = 0, typeQuantity = state.implicitTypes.length; typeIndex < typeQuantity; typeIndex += 1) { + type = state.implicitTypes[typeIndex]; - } else if (is_EOL(ch)) { - _line = state.line; - _lineStart = state.lineStart; - _lineIndent = state.lineIndent; - skipSeparationSpace(state, false, -1); + if (type.resolve(state.result)) { // `state.result` updated in resolver if matched + state.result = type.construct(state.result); + state.tag = type.tag; + if (state.anchor !== null) { + state.anchorMap[state.anchor] = state.result; + } + break; + } + } + } else if (state.tag !== '!') { + if (_hasOwnProperty.call(state.typeMap[state.kind || 'fallback'], state.tag)) { + type = state.typeMap[state.kind || 'fallback'][state.tag]; + } else { + // looking for multi type + type = null; + typeList = state.typeMap.multi[state.kind || 'fallback']; + + for (typeIndex = 0, typeQuantity = typeList.length; typeIndex < typeQuantity; typeIndex += 1) { + if (state.tag.slice(0, typeList[typeIndex].tag.length) === typeList[typeIndex].tag) { + type = typeList[typeIndex]; + break; + } + } + } - if (state.lineIndent >= nodeIndent) { - hasPendingContent = true; - ch = state.input.charCodeAt(state.position); - continue; - } else { - state.position = captureEnd; - state.line = _line; - state.lineStart = _lineStart; - state.lineIndent = _lineIndent; - break; + if (!type) { + throwError(state, 'unknown tag !<' + state.tag + '>'); + } + + if (state.result !== null && type.kind !== state.kind) { + throwError( + state, + 'unacceptable node kind for !<' + state.tag + '> tag; it should be "' + type.kind + '", not "' + + state.kind + '"'); + } + + if (!type.resolve(state.result, state.tag)) { // `state.result` updated in resolver if matched + throwError(state, 'cannot resolve a node with !<' + state.tag + '> explicit tag'); + } else { + state.result = type.construct(state.result, state.tag); + if (state.anchor !== null) { + state.anchorMap[state.anchor] = state.result; + } + } } - } - if (hasPendingContent) { - captureSegment(state, captureStart, captureEnd, false); - writeFoldedLines(state, state.line - _line); - captureStart = captureEnd = state.position; - hasPendingContent = false; + if (state.listener !== null) { + state.listener('close', state); + } + return state.tag !== null || state.anchor !== null || hasContent; } - if (!is_WHITE_SPACE(ch)) { - captureEnd = state.position + 1; - } + function readDocument(state) { + var documentStart = state.position, _position, directiveName, directiveArgs, hasDirectives = false, ch; - ch = state.input.charCodeAt(++state.position); - } + state.version = null; + state.checkLineBreaks = state.legacy; + state.tagMap = Object.create(null); + state.anchorMap = Object.create(null); - captureSegment(state, captureStart, captureEnd, false); + while ((ch = state.input.charCodeAt(state.position)) !== 0) { + skipSeparationSpace(state, true, -1); - if (state.result) { - return true; - } + ch = state.input.charCodeAt(state.position); - state.kind = _kind; - state.result = _result; - return false; -} + if (state.lineIndent > 0 || ch !== 0x25 /* % */) { + break; + } -function readSingleQuotedScalar(state, nodeIndent) { - var ch, - captureStart, captureEnd; + hasDirectives = true; + ch = state.input.charCodeAt(++state.position); + _position = state.position; - ch = state.input.charCodeAt(state.position); + while (ch !== 0 && !is_WS_OR_EOL(ch)) { + ch = state.input.charCodeAt(++state.position); + } - if (ch !== 0x27/* ' */) { - return false; - } + directiveName = state.input.slice(_position, state.position); + directiveArgs = []; - state.kind = 'scalar'; - state.result = ''; - state.position++; - captureStart = captureEnd = state.position; + if (directiveName.length < 1) { + throwError(state, 'directive name must not be less than one character in length'); + } - while ((ch = state.input.charCodeAt(state.position)) !== 0) { - if (ch === 0x27/* ' */) { - captureSegment(state, captureStart, state.position, true); - ch = state.input.charCodeAt(++state.position); + while (ch !== 0) { + while (is_WHITE_SPACE(ch)) { + ch = state.input.charCodeAt(++state.position); + } - if (ch === 0x27/* ' */) { - captureStart = state.position; - state.position++; - captureEnd = state.position; - } else { - return true; - } + if (ch === 0x23 /* # */) { + do { + ch = state.input.charCodeAt(++state.position); + } while (ch !== 0 && !is_EOL(ch)); + break; + } - } else if (is_EOL(ch)) { - captureSegment(state, captureStart, captureEnd, true); - writeFoldedLines(state, skipSeparationSpace(state, false, nodeIndent)); - captureStart = captureEnd = state.position; + if (is_EOL(ch)) + break; - } else if (state.position === state.lineStart && testDocumentSeparator(state)) { - throwError(state, 'unexpected end of the document within a single quoted scalar'); + _position = state.position; - } else { - state.position++; - captureEnd = state.position; - } - } + while (ch !== 0 && !is_WS_OR_EOL(ch)) { + ch = state.input.charCodeAt(++state.position); + } - throwError(state, 'unexpected end of the stream within a single quoted scalar'); -} + directiveArgs.push(state.input.slice(_position, state.position)); + } -function readDoubleQuotedScalar(state, nodeIndent) { - var captureStart, - captureEnd, - hexLength, - hexResult, - tmp, - ch; + if (ch !== 0) + readLineBreak(state); - ch = state.input.charCodeAt(state.position); + if (_hasOwnProperty.call(directiveHandlers, directiveName)) { + directiveHandlers[directiveName](state, directiveName, directiveArgs); + } else { + throwWarning(state, 'unknown document directive "' + directiveName + '"'); + } + } - if (ch !== 0x22/* " */) { - return false; - } + skipSeparationSpace(state, true, -1); - state.kind = 'scalar'; - state.result = ''; - state.position++; - captureStart = captureEnd = state.position; + if (state.lineIndent === 0 && state.input.charCodeAt(state.position) === 0x2D /* - */ && + state.input.charCodeAt(state.position + 1) === 0x2D /* - */ && + state.input.charCodeAt(state.position + 2) === 0x2D /* - */) { + state.position += 3; + skipSeparationSpace(state, true, -1); - while ((ch = state.input.charCodeAt(state.position)) !== 0) { - if (ch === 0x22/* " */) { - captureSegment(state, captureStart, state.position, true); - state.position++; - return true; + } else if (hasDirectives) { + throwError(state, 'directives end mark is expected'); + } - } else if (ch === 0x5C/* \ */) { - captureSegment(state, captureStart, state.position, true); - ch = state.input.charCodeAt(++state.position); + composeNode(state, state.lineIndent - 1, CONTEXT_BLOCK_OUT, false, true); + skipSeparationSpace(state, true, -1); - if (is_EOL(ch)) { - skipSeparationSpace(state, false, nodeIndent); + if (state.checkLineBreaks && + PATTERN_NON_ASCII_LINE_BREAKS.test(state.input.slice(documentStart, state.position))) { + throwWarning(state, 'non-ASCII line breaks are interpreted as content'); + } - // TODO: rework to inline fn with no type cast? - } else if (ch < 256 && simpleEscapeCheck[ch]) { - state.result += simpleEscapeMap[ch]; - state.position++; + state.documents.push(state.result); - } else if ((tmp = escapedHexLen(ch)) > 0) { - hexLength = tmp; - hexResult = 0; + if (state.position === state.lineStart && testDocumentSeparator(state)) { + if (state.input.charCodeAt(state.position) === 0x2E /* . */) { + state.position += 3; + skipSeparationSpace(state, true, -1); + } + return; + } - for (; hexLength > 0; hexLength--) { - ch = state.input.charCodeAt(++state.position); + if (state.position < (state.length - 1)) { + throwError(state, 'end of the stream or a document separator is expected'); + } else { + return; + } + } - if ((tmp = fromHexCode(ch)) >= 0) { - hexResult = (hexResult << 4) + tmp; + function loadDocuments(input, options) { + input = String(input); + options = options || {}; - } else { - throwError(state, 'expected hexadecimal character'); - } + if (input.length !== 0) { + // Add tailing `\n` if not exists + if (input.charCodeAt(input.length - 1) !== 0x0A /* LF */ && + input.charCodeAt(input.length - 1) !== 0x0D /* CR */) { + input += '\n'; } - state.result += charFromCodepoint(hexResult); - - state.position++; - - } else { - throwError(state, 'unknown escape sequence'); + // Strip BOM + if (input.charCodeAt(0) === 0xFEFF) { + input = input.slice(1); + } } - captureStart = captureEnd = state.position; + var state = new State(input, options); - } else if (is_EOL(ch)) { - captureSegment(state, captureStart, captureEnd, true); - writeFoldedLines(state, skipSeparationSpace(state, false, nodeIndent)); - captureStart = captureEnd = state.position; + var nullpos = input.indexOf('\0'); - } else if (state.position === state.lineStart && testDocumentSeparator(state)) { - throwError(state, 'unexpected end of the document within a double quoted scalar'); + if (nullpos !== -1) { + state.position = nullpos; + throwError(state, 'null byte is not allowed in input'); + } - } else { - state.position++; - captureEnd = state.position; - } - } + // Use 0 as string terminator. That significantly simplifies bounds check. + state.input += '\0'; - throwError(state, 'unexpected end of the stream within a double quoted scalar'); -} + while (state.input.charCodeAt(state.position) === 0x20 /* Space */) { + state.lineIndent += 1; + state.position += 1; + } -function readFlowCollection(state, nodeIndent) { - var readNext = true, - _line, - _lineStart, - _pos, - _tag = state.tag, - _result, - _anchor = state.anchor, - following, - terminator, - isPair, - isExplicitPair, - isMapping, - overridableKeys = Object.create(null), - keyNode, - keyTag, - valueNode, - ch; - - ch = state.input.charCodeAt(state.position); - - if (ch === 0x5B/* [ */) { - terminator = 0x5D;/* ] */ - isMapping = false; - _result = []; - } else if (ch === 0x7B/* { */) { - terminator = 0x7D;/* } */ - isMapping = true; - _result = {}; - } else { - return false; - } + while (state.position < (state.length - 1)) { + readDocument(state); + } - if (state.anchor !== null) { - state.anchorMap[state.anchor] = _result; - } + return state.documents; + } - ch = state.input.charCodeAt(++state.position); + function loadAll(input, iterator, options) { + if (iterator !== null && typeof iterator === 'object' && typeof options === 'undefined') { + options = iterator; + iterator = null; + } - while (ch !== 0) { - skipSeparationSpace(state, true, nodeIndent); + var documents = loadDocuments(input, options); - ch = state.input.charCodeAt(state.position); + if (typeof iterator !== 'function') { + return documents; + } - if (ch === terminator) { - state.position++; - state.tag = _tag; - state.anchor = _anchor; - state.kind = isMapping ? 'mapping' : 'sequence'; - state.result = _result; - return true; - } else if (!readNext) { - throwError(state, 'missed comma between flow collection entries'); - } else if (ch === 0x2C/* , */) { - // "flow collection entries can never be completely empty", as per YAML 1.2, section 7.4 - throwError(state, "expected the node content, but found ','"); + for (var index = 0, length = documents.length; index < length; index += 1) { + iterator(documents[index]); + } } - keyTag = keyNode = valueNode = null; - isPair = isExplicitPair = false; - - if (ch === 0x3F/* ? */) { - following = state.input.charCodeAt(state.position + 1); + function load(input, options) { + var documents = loadDocuments(input, options); - if (is_WS_OR_EOL(following)) { - isPair = isExplicitPair = true; - state.position++; - skipSeparationSpace(state, true, nodeIndent); + if (documents.length === 0) { + /*eslint-disable no-undefined*/ + return undefined; + } else if (documents.length === 1) { + return documents[0]; } + throw new YAMLException('expected a single document in the stream, but found more'); } - _line = state.line; // Save the current line. - _lineStart = state.lineStart; - _pos = state.position; - composeNode(state, nodeIndent, CONTEXT_FLOW_IN, false, true); - keyTag = state.tag; - keyNode = state.result; - skipSeparationSpace(state, true, nodeIndent); - - ch = state.input.charCodeAt(state.position); + module.exports.loadAll = loadAll; + module.exports.load = load; - if ((isExplicitPair || state.line === _line) && ch === 0x3A/* : */) { - isPair = true; - ch = state.input.charCodeAt(++state.position); - skipSeparationSpace(state, true, nodeIndent); - composeNode(state, nodeIndent, CONTEXT_FLOW_IN, false, true); - valueNode = state.result; - } + /***/ }), - if (isMapping) { - storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, valueNode, _line, _lineStart, _pos); - } else if (isPair) { - _result.push(storeMappingPair(state, null, overridableKeys, keyTag, keyNode, valueNode, _line, _lineStart, _pos)); - } else { - _result.push(keyNode); - } +/***/ 1082: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - skipSeparationSpace(state, true, nodeIndent); + /*eslint-disable max-len*/ - ch = state.input.charCodeAt(state.position); + var YAMLException = __nccwpck_require__(8179); + var Type = __nccwpck_require__(6073); - if (ch === 0x2C/* , */) { - readNext = true; - ch = state.input.charCodeAt(++state.position); - } else { - readNext = false; - } - } + function compileList(schema, name) { + var result = []; - throwError(state, 'unexpected end of the stream within a flow collection'); -} + schema[name].forEach(function(currentType) { + var newIndex = result.length; -function readBlockScalar(state, nodeIndent) { - var captureStart, - folding, - chomping = CHOMPING_CLIP, - didReadContent = false, - detectedIndent = false, - textIndent = nodeIndent, - emptyLines = 0, - atMoreIndented = false, - tmp, - ch; - - ch = state.input.charCodeAt(state.position); - - if (ch === 0x7C/* | */) { - folding = false; - } else if (ch === 0x3E/* > */) { - folding = true; - } else { - return false; - } + result.forEach(function(previousType, previousIndex) { + if (previousType.tag === currentType.tag && previousType.kind === currentType.kind && + previousType.multi === currentType.multi) { + newIndex = previousIndex; + } + }); - state.kind = 'scalar'; - state.result = ''; + result[newIndex] = currentType; + }); - while (ch !== 0) { - ch = state.input.charCodeAt(++state.position); + return result; + } - if (ch === 0x2B/* + */ || ch === 0x2D/* - */) { - if (CHOMPING_CLIP === chomping) { - chomping = (ch === 0x2B/* + */) ? CHOMPING_KEEP : CHOMPING_STRIP; - } else { - throwError(state, 'repeat of a chomping mode identifier'); + function compileMap(/* lists... */) { + var result = { + scalar : {}, + sequence : {}, + mapping : {}, + fallback : {}, + multi : {scalar : [], sequence : [], mapping : [], fallback : []} + }, + index, length; + + function collectType(type) { + if (type.multi) { + result.multi[type.kind].push(type); + result.multi['fallback'].push(type); + } else { + result[type.kind][type.tag] = result['fallback'][type.tag] = type; + } } - } else if ((tmp = fromDecimalCode(ch)) >= 0) { - if (tmp === 0) { - throwError(state, 'bad explicit indentation width of a block scalar; it cannot be less than one'); - } else if (!detectedIndent) { - textIndent = nodeIndent + tmp - 1; - detectedIndent = true; - } else { - throwError(state, 'repeat of an indentation width identifier'); + for (index = 0, length = arguments.length; index < length; index += 1) { + arguments[index].forEach(collectType); } + return result; + } - } else { - break; + function Schema(definition) { + return this.extend(definition); } - } - if (is_WHITE_SPACE(ch)) { - do { ch = state.input.charCodeAt(++state.position); } - while (is_WHITE_SPACE(ch)); + Schema.prototype.extend = function extend(definition) { + var implicit = []; + var explicit = []; - if (ch === 0x23/* # */) { - do { ch = state.input.charCodeAt(++state.position); } - while (!is_EOL(ch) && (ch !== 0)); - } - } + if (definition instanceof Type) { + // Schema.extend(type) + explicit.push(definition); - while (ch !== 0) { - readLineBreak(state); - state.lineIndent = 0; + } else if (Array.isArray(definition)) { + // Schema.extend([ type1, type2, ... ]) + explicit = explicit.concat(definition); - ch = state.input.charCodeAt(state.position); + } else if (definition && (Array.isArray(definition.implicit) || Array.isArray(definition.explicit))) { + // Schema.extend({ explicit: [ type1, type2, ... ], implicit: [ type1, type2, ... ] }) + if (definition.implicit) + implicit = implicit.concat(definition.implicit); + if (definition.explicit) + explicit = explicit.concat(definition.explicit); - while ((!detectedIndent || state.lineIndent < textIndent) && - (ch === 0x20/* Space */)) { - state.lineIndent++; - ch = state.input.charCodeAt(++state.position); - } + } else { + throw new YAMLException( + 'Schema.extend argument should be a Type, [ Type ], ' + + 'or a schema definition ({ implicit: [...], explicit: [...] })'); + } - if (!detectedIndent && state.lineIndent > textIndent) { - textIndent = state.lineIndent; - } + implicit.forEach(function(type) { + if (!(type instanceof Type)) { + throw new YAMLException('Specified list of YAML types (or a single Type object) contains a non-Type object.'); + } - if (is_EOL(ch)) { - emptyLines++; - continue; - } + if (type.loadKind && type.loadKind !== 'scalar') { + throw new YAMLException( + 'There is a non-scalar type in the implicit list of a schema. Implicit resolving of such types is not supported.'); + } - // End of the scalar. - if (state.lineIndent < textIndent) { + if (type.multi) { + throw new YAMLException( + 'There is a multi type in the implicit list of a schema. Multi tags can only be listed as explicit.'); + } + }); - // Perform the chomping. - if (chomping === CHOMPING_KEEP) { - state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); - } else if (chomping === CHOMPING_CLIP) { - if (didReadContent) { // i.e. only if the scalar is not empty. - state.result += '\n'; + explicit.forEach(function(type) { + if (!(type instanceof Type)) { + throw new YAMLException('Specified list of YAML types (or a single Type object) contains a non-Type object.'); } - } + }); - // Break this `while` cycle and go to the funciton's epilogue. - break; - } + var result = Object.create(Schema.prototype); - // Folded style: use fancy rules to handle line breaks. - if (folding) { + result.implicit = (this.implicit || []).concat(implicit); + result.explicit = (this.explicit || []).concat(explicit); - // Lines starting with white space characters (more-indented lines) are not folded. - if (is_WHITE_SPACE(ch)) { - atMoreIndented = true; - // except for the first content line (cf. Example 8.1) - state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); + result.compiledImplicit = compileList(result, 'implicit'); + result.compiledExplicit = compileList(result, 'explicit'); + result.compiledTypeMap = compileMap(result.compiledImplicit, result.compiledExplicit); - // End of more-indented block. - } else if (atMoreIndented) { - atMoreIndented = false; - state.result += common.repeat('\n', emptyLines + 1); + return result; + }; - // Just one line break - perceive as the same line. - } else if (emptyLines === 0) { - if (didReadContent) { // i.e. only if we have already read some scalar content. - state.result += ' '; - } + module.exports = Schema; - // Several line breaks - perceive as different lines. - } else { - state.result += common.repeat('\n', emptyLines); - } + /***/ }), - // Literal style: just add exact number of line breaks between content lines. - } else { - // Keep all line breaks except the header line break. - state.result += common.repeat('\n', didReadContent ? 1 + emptyLines : emptyLines); - } +/***/ 2011: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + // Standard YAML's Core schema. + // http://www.yaml.org/spec/1.2/spec.html#id2804923 + // + // NOTE: JS-YAML does not support schema-specific tag resolution restrictions. + // So, Core schema has no distinctions from JSON schema is JS-YAML. - didReadContent = true; - detectedIndent = true; - emptyLines = 0; - captureStart = state.position; + module.exports = __nccwpck_require__(1035); - while (!is_EOL(ch) && (ch !== 0)) { - ch = state.input.charCodeAt(++state.position); - } + /***/ }), - captureSegment(state, captureStart, state.position, false); - } +/***/ 8759: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + // JS-YAML's default schema for `safeLoad` function. + // It is not described in the YAML specification. + // + // This schema is based on standard YAML's Core schema and includes most of + // extra types described at YAML tag repository. (http://yaml.org/type/) - return true; -} + module.exports = (__nccwpck_require__(2011).extend)({ + implicit : [ __nccwpck_require__(9212), __nccwpck_require__(6104) ], + explicit : + [ __nccwpck_require__(7900), __nccwpck_require__(9046), __nccwpck_require__(6860), __nccwpck_require__(9548) ] + }); -function readBlockSequence(state, nodeIndent) { - var _line, - _tag = state.tag, - _anchor = state.anchor, - _result = [], - following, - detected = false, - ch; - - // there is a leading tab before this token, so it can't be a block sequence/mapping; - // it can still be flow sequence/mapping or a scalar - if (state.firstTabInLine !== -1) return false; - - if (state.anchor !== null) { - state.anchorMap[state.anchor] = _result; - } + /***/ }), + +/***/ 8562: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + // Standard YAML's Failsafe schema. + // http://www.yaml.org/spec/1.2/spec.html#id2802346 - ch = state.input.charCodeAt(state.position); + var Schema = __nccwpck_require__(1082); - while (ch !== 0) { - if (state.firstTabInLine !== -1) { - state.position = state.firstTabInLine; - throwError(state, 'tab characters must not be used in indentation'); - } + module.exports = + new Schema({explicit : [ __nccwpck_require__(3619), __nccwpck_require__(7283), __nccwpck_require__(6150) ]}); - if (ch !== 0x2D/* - */) { - break; - } + /***/ }), - following = state.input.charCodeAt(state.position + 1); +/***/ 1035: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + // Standard YAML's JSON schema. + // http://www.yaml.org/spec/1.2/spec.html#id2803231 + // + // NOTE: JS-YAML does not support schema-specific tag resolution restrictions. + // So, this schema is not such strict as defined in the YAML specification. + // It allows numbers in binary notaion, use `Null` and `NULL` as `null`, etc. + + module.exports = (__nccwpck_require__(8562).extend)({ + implicit : + [ __nccwpck_require__(721), __nccwpck_require__(4993), __nccwpck_require__(1615), __nccwpck_require__(2705) ] + }); + + /***/ }), + +/***/ 6975: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - if (!is_WS_OR_EOL(following)) { - break; - } + var common = __nccwpck_require__(6829); - detected = true; - state.position++; + // get snippet for a single line, respecting maxLength + function getLine(buffer, lineStart, lineEnd, position, maxLineLength) { + var head = ''; + var tail = ''; + var maxHalfLength = Math.floor(maxLineLength / 2) - 1; - if (skipSeparationSpace(state, true, -1)) { - if (state.lineIndent <= nodeIndent) { - _result.push(null); - ch = state.input.charCodeAt(state.position); - continue; + if (position - lineStart > maxHalfLength) { + head = ' ... '; + lineStart = position - maxHalfLength + head.length; } - } - _line = state.line; - composeNode(state, nodeIndent, CONTEXT_BLOCK_IN, false, true); - _result.push(state.result); - skipSeparationSpace(state, true, -1); - - ch = state.input.charCodeAt(state.position); + if (lineEnd - position > maxHalfLength) { + tail = ' ...'; + lineEnd = position + maxHalfLength - tail.length; + } - if ((state.line === _line || state.lineIndent > nodeIndent) && (ch !== 0)) { - throwError(state, 'bad indentation of a sequence entry'); - } else if (state.lineIndent < nodeIndent) { - break; + return { + str : head + buffer.slice(lineStart, lineEnd).replace(/\t/g, '→') + tail, + pos : position - lineStart + head.length // relative position + }; } - } - if (detected) { - state.tag = _tag; - state.anchor = _anchor; - state.kind = 'sequence'; - state.result = _result; - return true; - } - return false; -} + function padStart(string, max) { + return common.repeat(' ', max - string.length) + string; + } -function readBlockMapping(state, nodeIndent, flowIndent) { - var following, - allowCompact, - _line, - _keyLine, - _keyLineStart, - _keyPos, - _tag = state.tag, - _anchor = state.anchor, - _result = {}, - overridableKeys = Object.create(null), - keyTag = null, - keyNode = null, - valueNode = null, - atExplicitKey = false, - detected = false, - ch; - - // there is a leading tab before this token, so it can't be a block sequence/mapping; - // it can still be flow sequence/mapping or a scalar - if (state.firstTabInLine !== -1) return false; - - if (state.anchor !== null) { - state.anchorMap[state.anchor] = _result; - } + function makeSnippet(mark, options) { + options = Object.create(options || null); - ch = state.input.charCodeAt(state.position); + if (!mark.buffer) + return null; - while (ch !== 0) { - if (!atExplicitKey && state.firstTabInLine !== -1) { - state.position = state.firstTabInLine; - throwError(state, 'tab characters must not be used in indentation'); - } + if (!options.maxLength) + options.maxLength = 79; + if (typeof options.indent !== 'number') + options.indent = 1; + if (typeof options.linesBefore !== 'number') + options.linesBefore = 3; + if (typeof options.linesAfter !== 'number') + options.linesAfter = 2; - following = state.input.charCodeAt(state.position + 1); - _line = state.line; // Save the current line. + var re = /\r?\n|\r|\0/g; + var lineStarts = [ 0 ]; + var lineEnds = []; + var match; + var foundLineNo = -1; - // - // Explicit notation case. There are two separate blocks: - // first for the key (denoted by "?") and second for the value (denoted by ":") - // - if ((ch === 0x3F/* ? */ || ch === 0x3A/* : */) && is_WS_OR_EOL(following)) { + while ((match = re.exec(mark.buffer))) { + lineEnds.push(match.index); + lineStarts.push(match.index + match[0].length); - if (ch === 0x3F/* ? */) { - if (atExplicitKey) { - storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); - keyTag = keyNode = valueNode = null; + if (mark.position <= match.index && foundLineNo < 0) { + foundLineNo = lineStarts.length - 2; } + } - detected = true; - atExplicitKey = true; - allowCompact = true; + if (foundLineNo < 0) + foundLineNo = lineStarts.length - 1; - } else if (atExplicitKey) { - // i.e. 0x3A/* : */ === character after the explicit key. - atExplicitKey = false; - allowCompact = true; + var result = '', i, line; + var lineNoLength = Math.min(mark.line + options.linesAfter, lineEnds.length).toString().length; + var maxLineLength = options.maxLength - (options.indent + lineNoLength + 3); - } else { - throwError(state, 'incomplete explicit mapping pair; a key node is missed; or followed by a non-tabulated empty line'); + for (i = 1; i <= options.linesBefore; i++) { + if (foundLineNo - i < 0) + break; + line = getLine( + mark.buffer, + lineStarts[foundLineNo - i], + lineEnds[foundLineNo - i], + mark.position - (lineStarts[foundLineNo] - lineStarts[foundLineNo - i]), + maxLineLength); + result = common.repeat(' ', options.indent) + padStart((mark.line - i + 1).toString(), lineNoLength) + ' | ' + + line.str + '\n' + result; } - state.position += 1; - ch = following; - - // - // Implicit notation case. Flow-style node as the key first, then ":", and the value. - // - } else { - _keyLine = state.line; - _keyLineStart = state.lineStart; - _keyPos = state.position; + line = getLine(mark.buffer, lineStarts[foundLineNo], lineEnds[foundLineNo], mark.position, maxLineLength); + result += common.repeat(' ', options.indent) + padStart((mark.line + 1).toString(), lineNoLength) + ' | ' + + line.str + '\n'; + result += common.repeat('-', options.indent + lineNoLength + 3 + line.pos) + '^' + + '\n'; - if (!composeNode(state, flowIndent, CONTEXT_FLOW_OUT, false, true)) { - // Neither implicit nor explicit notation. - // Reading is done. Go to the epilogue. - break; + for (i = 1; i <= options.linesAfter; i++) { + if (foundLineNo + i >= lineEnds.length) + break; + line = getLine( + mark.buffer, + lineStarts[foundLineNo + i], + lineEnds[foundLineNo + i], + mark.position - (lineStarts[foundLineNo] - lineStarts[foundLineNo + i]), + maxLineLength); + result += common.repeat(' ', options.indent) + padStart((mark.line + i + 1).toString(), lineNoLength) + ' | ' + + line.str + '\n'; } - if (state.line === _line) { - ch = state.input.charCodeAt(state.position); - - while (is_WHITE_SPACE(ch)) { - ch = state.input.charCodeAt(++state.position); - } + return result.replace(/\n$/, ''); + } - if (ch === 0x3A/* : */) { - ch = state.input.charCodeAt(++state.position); + module.exports = makeSnippet; - if (!is_WS_OR_EOL(ch)) { - throwError(state, 'a whitespace character is expected after the key-value separator within a block mapping'); - } + /***/ }), - if (atExplicitKey) { - storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); - keyTag = keyNode = valueNode = null; - } +/***/ 6073: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var YAMLException = __nccwpck_require__(8179); + + var TYPE_CONSTRUCTOR_OPTIONS = [ + 'kind', + 'multi', + 'resolve', + 'construct', + 'instanceOf', + 'predicate', + 'represent', + 'representName', + 'defaultStyle', + 'styleAliases' + ]; + + var YAML_NODE_KINDS = [ 'scalar', 'sequence', 'mapping' ]; + + function compileStyleAliases(map) { + var result = {}; + + if (map !== null) { + Object.keys(map).forEach(function(style) { + map[style].forEach(function(alias) { + result[String(alias)] = style; + }); + }); + } - detected = true; - atExplicitKey = false; - allowCompact = false; - keyTag = state.tag; - keyNode = state.result; + return result; + } - } else if (detected) { - throwError(state, 'can not read an implicit mapping pair; a colon is missed'); + function Type(tag, options) { + options = options || {}; - } else { - state.tag = _tag; - state.anchor = _anchor; - return true; // Keep the result of `composeNode`. + Object.keys(options).forEach(function(name) { + if (TYPE_CONSTRUCTOR_OPTIONS.indexOf(name) === -1) { + throw new YAMLException('Unknown option "' + name + '" is met in definition of "' + tag + '" YAML type.'); } + }); - } else if (detected) { - throwError(state, 'can not read a block mapping entry; a multiline key may not be an implicit key'); - - } else { - state.tag = _tag; - state.anchor = _anchor; - return true; // Keep the result of `composeNode`. + // TODO: Add tag format check. + this.options = options; // keep original options in case user wants to extend this type later + this.tag = tag; + this.kind = options['kind'] || null; + this.resolve = options['resolve'] || function() { + return true; + }; + this.construct = options['construct'] || function(data) { + return data; + }; + this.instanceOf = options['instanceOf'] || null; + this.predicate = options['predicate'] || null; + this.represent = options['represent'] || null; + this.representName = options['representName'] || null; + this.defaultStyle = options['defaultStyle'] || null; + this.multi = options['multi'] || false; + this.styleAliases = compileStyleAliases(options['styleAliases'] || null); + + if (YAML_NODE_KINDS.indexOf(this.kind) === -1) { + throw new YAMLException('Unknown kind "' + this.kind + '" is specified for "' + tag + '" YAML type.'); } } - // - // Common reading code for both explicit and implicit notations. - // - if (state.line === _line || state.lineIndent > nodeIndent) { - if (atExplicitKey) { - _keyLine = state.line; - _keyLineStart = state.lineStart; - _keyPos = state.position; - } + module.exports = Type; - if (composeNode(state, nodeIndent, CONTEXT_BLOCK_OUT, true, allowCompact)) { - if (atExplicitKey) { - keyNode = state.result; - } else { - valueNode = state.result; - } - } + /***/ }), - if (!atExplicitKey) { - storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, valueNode, _keyLine, _keyLineStart, _keyPos); - keyTag = keyNode = valueNode = null; - } +/***/ 7900: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - skipSeparationSpace(state, true, -1); - ch = state.input.charCodeAt(state.position); - } + /*eslint-disable no-bitwise*/ - if ((state.line === _line || state.lineIndent > nodeIndent) && (ch !== 0)) { - throwError(state, 'bad indentation of a mapping entry'); - } else if (state.lineIndent < nodeIndent) { - break; - } - } + var Type = __nccwpck_require__(6073); - // - // Epilogue. - // + // [ 64, 65, 66 ] -> [ padding, CR, LF ] + var BASE64_MAP = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\n\r'; - // Special case: last mapping's node contains only the key in explicit notation. - if (atExplicitKey) { - storeMappingPair(state, _result, overridableKeys, keyTag, keyNode, null, _keyLine, _keyLineStart, _keyPos); - } + function resolveYamlBinary(data) { + if (data === null) + return false; - // Expose the resulting mapping. - if (detected) { - state.tag = _tag; - state.anchor = _anchor; - state.kind = 'mapping'; - state.result = _result; - } + var code, idx, bitlen = 0, max = data.length, map = BASE64_MAP; - return detected; -} + // Convert one by one. + for (idx = 0; idx < max; idx++) { + code = map.indexOf(data.charAt(idx)); -function readTagProperty(state) { - var _position, - isVerbatim = false, - isNamed = false, - tagHandle, - tagName, - ch; + // Skip CR/LF + if (code > 64) + continue; - ch = state.input.charCodeAt(state.position); + // Fail on illegal characters + if (code < 0) + return false; - if (ch !== 0x21/* ! */) return false; + bitlen += 6; + } - if (state.tag !== null) { - throwError(state, 'duplication of a tag property'); - } + // If there are any bits left, source was corrupted + return (bitlen % 8) === 0; + } - ch = state.input.charCodeAt(++state.position); + function constructYamlBinary(data) { + var idx, tailbits, input = data.replace(/[\r\n=]/g, ''), // remove CR/LF & padding to simplify scan + max = input.length, map = BASE64_MAP, bits = 0, result = []; - if (ch === 0x3C/* < */) { - isVerbatim = true; - ch = state.input.charCodeAt(++state.position); + // Collect by 6*4 bits (3 bytes) - } else if (ch === 0x21/* ! */) { - isNamed = true; - tagHandle = '!!'; - ch = state.input.charCodeAt(++state.position); + for (idx = 0; idx < max; idx++) { + if ((idx % 4 === 0) && idx) { + result.push((bits >> 16) & 0xFF); + result.push((bits >> 8) & 0xFF); + result.push(bits & 0xFF); + } - } else { - tagHandle = '!'; - } + bits = (bits << 6) | map.indexOf(input.charAt(idx)); + } - _position = state.position; + // Dump tail - if (isVerbatim) { - do { ch = state.input.charCodeAt(++state.position); } - while (ch !== 0 && ch !== 0x3E/* > */); + tailbits = (max % 4) * 6; - if (state.position < state.length) { - tagName = state.input.slice(_position, state.position); - ch = state.input.charCodeAt(++state.position); - } else { - throwError(state, 'unexpected end of the stream within a verbatim tag'); + if (tailbits === 0) { + result.push((bits >> 16) & 0xFF); + result.push((bits >> 8) & 0xFF); + result.push(bits & 0xFF); + } else if (tailbits === 18) { + result.push((bits >> 10) & 0xFF); + result.push((bits >> 2) & 0xFF); + } else if (tailbits === 12) { + result.push((bits >> 4) & 0xFF); + } + + return new Uint8Array(result); } - } else { - while (ch !== 0 && !is_WS_OR_EOL(ch)) { - if (ch === 0x21/* ! */) { - if (!isNamed) { - tagHandle = state.input.slice(_position - 1, state.position + 1); + function representYamlBinary(object /*, style*/) { + var result = '', bits = 0, idx, tail, max = object.length, map = BASE64_MAP; - if (!PATTERN_TAG_HANDLE.test(tagHandle)) { - throwError(state, 'named tag handle cannot contain such characters'); - } + // Convert every three bytes to 4 ASCII characters. - isNamed = true; - _position = state.position + 1; - } else { - throwError(state, 'tag suffix cannot contain exclamation marks'); + for (idx = 0; idx < max; idx++) { + if ((idx % 3 === 0) && idx) { + result += map[(bits >> 18) & 0x3F]; + result += map[(bits >> 12) & 0x3F]; + result += map[(bits >> 6) & 0x3F]; + result += map[bits & 0x3F]; } + + bits = (bits << 8) + object[idx]; } - ch = state.input.charCodeAt(++state.position); - } + // Dump tail + + tail = max % 3; + + if (tail === 0) { + result += map[(bits >> 18) & 0x3F]; + result += map[(bits >> 12) & 0x3F]; + result += map[(bits >> 6) & 0x3F]; + result += map[bits & 0x3F]; + } else if (tail === 2) { + result += map[(bits >> 10) & 0x3F]; + result += map[(bits >> 4) & 0x3F]; + result += map[(bits << 2) & 0x3F]; + result += map[64]; + } else if (tail === 1) { + result += map[(bits >> 2) & 0x3F]; + result += map[(bits << 4) & 0x3F]; + result += map[64]; + result += map[64]; + } - tagName = state.input.slice(_position, state.position); + return result; + } - if (PATTERN_FLOW_INDICATORS.test(tagName)) { - throwError(state, 'tag suffix cannot contain flow indicator characters'); + function isBinary(obj) { + return Object.prototype.toString.call(obj) === '[object Uint8Array]'; } - } - if (tagName && !PATTERN_TAG_URI.test(tagName)) { - throwError(state, 'tag name cannot contain such characters: ' + tagName); - } + module.exports = new Type('tag:yaml.org,2002:binary', { + kind : 'scalar', + resolve : resolveYamlBinary, + construct : constructYamlBinary, + predicate : isBinary, + represent : representYamlBinary + }); - try { - tagName = decodeURIComponent(tagName); - } catch (err) { - throwError(state, 'tag name is malformed: ' + tagName); - } + /***/ }), - if (isVerbatim) { - state.tag = tagName; +/***/ 4993: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - } else if (_hasOwnProperty.call(state.tagMap, tagHandle)) { - state.tag = state.tagMap[tagHandle] + tagName; + var Type = __nccwpck_require__(6073); - } else if (tagHandle === '!') { - state.tag = '!' + tagName; + function resolveYamlBoolean(data) { + if (data === null) + return false; - } else if (tagHandle === '!!') { - state.tag = 'tag:yaml.org,2002:' + tagName; + var max = data.length; - } else { - throwError(state, 'undeclared tag handle "' + tagHandle + '"'); - } + return (max === 4 && (data === 'true' || data === 'True' || data === 'TRUE')) || + (max === 5 && (data === 'false' || data === 'False' || data === 'FALSE')); + } - return true; -} + function constructYamlBoolean(data) { + return data === 'true' || data === 'True' || data === 'TRUE'; + } -function readAnchorProperty(state) { - var _position, - ch; + function isBoolean(object) { + return Object.prototype.toString.call(object) === '[object Boolean]'; + } - ch = state.input.charCodeAt(state.position); + module.exports = new Type('tag:yaml.org,2002:bool', { + kind: 'scalar', + resolve: resolveYamlBoolean, + construct: constructYamlBoolean, + predicate: isBoolean, + represent: { + lowercase: function (object) { return object ? 'true' : 'false'; }, + uppercase: function (object) { return object ? 'TRUE' : 'FALSE'; }, + camelcase: function (object) { return object ? 'True' : 'False'; } + }, + defaultStyle: 'lowercase' +}); - if (ch !== 0x26/* & */) return false; + /***/ }), - if (state.anchor !== null) { - throwError(state, 'duplication of an anchor property'); - } +/***/ 2705: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var common = __nccwpck_require__(6829); + var Type = __nccwpck_require__(6073); + + var YAML_FLOAT_PATTERN = new RegExp( + // 2.5e4, 2.5 and integers + '^(?:[-+]?(?:[0-9][0-9_]*)(?:\\.[0-9_]*)?(?:[eE][-+]?[0-9]+)?' + + // .2e4, .2 + // special case, seems not from spec + '|\\.[0-9_]+(?:[eE][-+]?[0-9]+)?' + + // .inf + '|[-+]?\\.(?:inf|Inf|INF)' + + // .nan + '|\\.(?:nan|NaN|NAN))$'); + + function resolveYamlFloat(data) { + if (data === null) + return false; - ch = state.input.charCodeAt(++state.position); - _position = state.position; + if (!YAML_FLOAT_PATTERN.test(data) || + // Quick hack to not allow integers end with `_` + // Probably should update regexp & check speed + data[data.length - 1] === '_') { + return false; + } - while (ch !== 0 && !is_WS_OR_EOL(ch) && !is_FLOW_INDICATOR(ch)) { - ch = state.input.charCodeAt(++state.position); - } + return true; + } - if (state.position === _position) { - throwError(state, 'name of an anchor node must contain at least one character'); - } + function constructYamlFloat(data) { + var value, sign; - state.anchor = state.input.slice(_position, state.position); - return true; -} + value = data.replace(/_/g, '').toLowerCase(); + sign = value[0] === '-' ? -1 : 1; -function readAlias(state) { - var _position, alias, - ch; + if ('+-'.indexOf(value[0]) >= 0) { + value = value.slice(1); + } - ch = state.input.charCodeAt(state.position); + if (value === '.inf') { + return (sign === 1) ? Number.POSITIVE_INFINITY : Number.NEGATIVE_INFINITY; - if (ch !== 0x2A/* * */) return false; + } else if (value === '.nan') { + return NaN; + } + return sign * parseFloat(value, 10); + } - ch = state.input.charCodeAt(++state.position); - _position = state.position; + var SCIENTIFIC_WITHOUT_DOT = /^[-+]?[0-9]+e/; - while (ch !== 0 && !is_WS_OR_EOL(ch) && !is_FLOW_INDICATOR(ch)) { - ch = state.input.charCodeAt(++state.position); - } + function representYamlFloat(object, style) { + var res; - if (state.position === _position) { - throwError(state, 'name of an alias node must contain at least one character'); - } + if (isNaN(object)) { + switch (style) { + case 'lowercase': + return '.nan'; + case 'uppercase': + return '.NAN'; + case 'camelcase': + return '.NaN'; + } + } else if (Number.POSITIVE_INFINITY === object) { + switch (style) { + case 'lowercase': + return '.inf'; + case 'uppercase': + return '.INF'; + case 'camelcase': + return '.Inf'; + } + } else if (Number.NEGATIVE_INFINITY === object) { + switch (style) { + case 'lowercase': + return '-.inf'; + case 'uppercase': + return '-.INF'; + case 'camelcase': + return '-.Inf'; + } + } else if (common.isNegativeZero(object)) { + return '-0.0'; + } - alias = state.input.slice(_position, state.position); + res = object.toString(10); - if (!_hasOwnProperty.call(state.anchorMap, alias)) { - throwError(state, 'unidentified alias "' + alias + '"'); - } + // JS stringifier can build scientific format without dots: 5e-100, + // while YAML requres dot: 5.e-100. Fix it with simple hack - state.result = state.anchorMap[alias]; - skipSeparationSpace(state, true, -1); - return true; -} + return SCIENTIFIC_WITHOUT_DOT.test(res) ? res.replace('e', '.e') : res; + } -function composeNode(state, parentIndent, nodeContext, allowToSeek, allowCompact) { - var allowBlockStyles, - allowBlockScalars, - allowBlockCollections, - indentStatus = 1, // 1: this>parent, 0: this=parent, -1: this { + "use strict"; - if (allowToSeek) { - if (skipSeparationSpace(state, true, -1)) { - atNewLine = true; + var common = __nccwpck_require__(6829); + var Type = __nccwpck_require__(6073); - if (state.lineIndent > parentIndent) { - indentStatus = 1; - } else if (state.lineIndent === parentIndent) { - indentStatus = 0; - } else if (state.lineIndent < parentIndent) { - indentStatus = -1; - } + function isHexCode(c) { + return ((0x30 /* 0 */ <= c) && (c <= 0x39 /* 9 */)) || ((0x41 /* A */ <= c) && (c <= 0x46 /* F */)) || + ((0x61 /* a */ <= c) && (c <= 0x66 /* f */)); } - } - if (indentStatus === 1) { - while (readTagProperty(state) || readAnchorProperty(state)) { - if (skipSeparationSpace(state, true, -1)) { - atNewLine = true; - allowBlockCollections = allowBlockStyles; + function isOctCode(c) { + return ((0x30 /* 0 */ <= c) && (c <= 0x37 /* 7 */)); + } - if (state.lineIndent > parentIndent) { - indentStatus = 1; - } else if (state.lineIndent === parentIndent) { - indentStatus = 0; - } else if (state.lineIndent < parentIndent) { - indentStatus = -1; - } - } else { - allowBlockCollections = false; - } + function isDecCode(c) { + return ((0x30 /* 0 */ <= c) && (c <= 0x39 /* 9 */)); } - } - if (allowBlockCollections) { - allowBlockCollections = atNewLine || allowCompact; - } + function resolveYamlInteger(data) { + if (data === null) + return false; - if (indentStatus === 1 || CONTEXT_BLOCK_OUT === nodeContext) { - if (CONTEXT_FLOW_IN === nodeContext || CONTEXT_FLOW_OUT === nodeContext) { - flowIndent = parentIndent; - } else { - flowIndent = parentIndent + 1; - } + var max = data.length, index = 0, hasDigits = false, ch; - blockIndent = state.position - state.lineStart; + if (!max) + return false; - if (indentStatus === 1) { - if (allowBlockCollections && - (readBlockSequence(state, blockIndent) || - readBlockMapping(state, blockIndent, flowIndent)) || - readFlowCollection(state, flowIndent)) { - hasContent = true; - } else { - if ((allowBlockScalars && readBlockScalar(state, flowIndent)) || - readSingleQuotedScalar(state, flowIndent) || - readDoubleQuotedScalar(state, flowIndent)) { - hasContent = true; + ch = data[index]; - } else if (readAlias(state)) { - hasContent = true; + // sign + if (ch === '-' || ch === '+') { + ch = data[++index]; + } - if (state.tag !== null || state.anchor !== null) { - throwError(state, 'alias node should not have any properties'); + if (ch === '0') { + // 0 + if (index + 1 === max) + return true; + ch = data[++index]; + + // base 2, base 8, base 16 + + if (ch === 'b') { + // base 2 + index++; + + for (; index < max; index++) { + ch = data[index]; + if (ch === '_') + continue; + if (ch !== '0' && ch !== '1') + return false; + hasDigits = true; } + return hasDigits && ch !== '_'; + } - } else if (readPlainScalar(state, flowIndent, CONTEXT_FLOW_IN === nodeContext)) { - hasContent = true; + if (ch === 'x') { + // base 16 + index++; + + for (; index < max; index++) { + ch = data[index]; + if (ch === '_') + continue; + if (!isHexCode(data.charCodeAt(index))) + return false; + hasDigits = true; + } + return hasDigits && ch !== '_'; + } - if (state.tag === null) { - state.tag = '?'; + if (ch === 'o') { + // base 8 + index++; + + for (; index < max; index++) { + ch = data[index]; + if (ch === '_') + continue; + if (!isOctCode(data.charCodeAt(index))) + return false; + hasDigits = true; } + return hasDigits && ch !== '_'; } + } - if (state.anchor !== null) { - state.anchorMap[state.anchor] = state.result; + // base 10 (except 0) + + // value should not start with `_`; + if (ch === '_') + return false; + + for (; index < max; index++) { + ch = data[index]; + if (ch === '_') + continue; + if (!isDecCode(data.charCodeAt(index))) { + return false; } + hasDigits = true; } - } else if (indentStatus === 0) { - // Special case: block sequences are allowed to have same indentation level as the parent. - // http://www.yaml.org/spec/1.2/spec.html#id2799784 - hasContent = allowBlockCollections && readBlockSequence(state, blockIndent); - } - } - if (state.tag === null) { - if (state.anchor !== null) { - state.anchorMap[state.anchor] = state.result; - } + // Should have digits and should not end with `_` + if (!hasDigits || ch === '_') + return false; - } else if (state.tag === '?') { - // Implicit resolving is not allowed for non-scalar types, and '?' - // non-specific tag is only automatically assigned to plain scalars. - // - // We only need to check kind conformity in case user explicitly assigns '?' - // tag, for example like this: "! [0]" - // - if (state.result !== null && state.kind !== 'scalar') { - throwError(state, 'unacceptable node kind for ! tag; it should be "scalar", not "' + state.kind + '"'); + return true; } - for (typeIndex = 0, typeQuantity = state.implicitTypes.length; typeIndex < typeQuantity; typeIndex += 1) { - type = state.implicitTypes[typeIndex]; + function constructYamlInteger(data) { + var value = data, sign = 1, ch; - if (type.resolve(state.result)) { // `state.result` updated in resolver if matched - state.result = type.construct(state.result); - state.tag = type.tag; - if (state.anchor !== null) { - state.anchorMap[state.anchor] = state.result; - } - break; + if (value.indexOf('_') !== -1) { + value = value.replace(/_/g, ''); } - } - } else if (state.tag !== '!') { - if (_hasOwnProperty.call(state.typeMap[state.kind || 'fallback'], state.tag)) { - type = state.typeMap[state.kind || 'fallback'][state.tag]; - } else { - // looking for multi type - type = null; - typeList = state.typeMap.multi[state.kind || 'fallback']; - for (typeIndex = 0, typeQuantity = typeList.length; typeIndex < typeQuantity; typeIndex += 1) { - if (state.tag.slice(0, typeList[typeIndex].tag.length) === typeList[typeIndex].tag) { - type = typeList[typeIndex]; - break; - } + ch = value[0]; + + if (ch === '-' || ch === '+') { + if (ch === '-') + sign = -1; + value = value.slice(1); + ch = value[0]; } - } - if (!type) { - throwError(state, 'unknown tag !<' + state.tag + '>'); - } + if (value === '0') + return 0; + + if (ch === '0') { + if (value[1] === 'b') + return sign * parseInt(value.slice(2), 2); + if (value[1] === 'x') + return sign * parseInt(value.slice(2), 16); + if (value[1] === 'o') + return sign * parseInt(value.slice(2), 8); + } - if (state.result !== null && type.kind !== state.kind) { - throwError(state, 'unacceptable node kind for !<' + state.tag + '> tag; it should be "' + type.kind + '", not "' + state.kind + '"'); + return sign * parseInt(value, 10); } - if (!type.resolve(state.result, state.tag)) { // `state.result` updated in resolver if matched - throwError(state, 'cannot resolve a node with !<' + state.tag + '> explicit tag'); - } else { - state.result = type.construct(state.result, state.tag); - if (state.anchor !== null) { - state.anchorMap[state.anchor] = state.result; - } + function isInteger(object) { + return (Object.prototype.toString.call(object)) === '[object Number]' && + (object % 1 === 0 && !common.isNegativeZero(object)); } - } - if (state.listener !== null) { - state.listener('close', state); + module.exports = new Type('tag:yaml.org,2002:int', { + kind: 'scalar', + resolve: resolveYamlInteger, + construct: constructYamlInteger, + predicate: isInteger, + represent: { + binary: function (obj) { return obj >= 0 ? '0b' + obj.toString(2) : '-0b' + obj.toString(2).slice(1); }, + octal: function (obj) { return obj >= 0 ? '0o' + obj.toString(8) : '-0o' + obj.toString(8).slice(1); }, + decimal: function (obj) { return obj.toString(10); }, + /* eslint-disable max-len */ + hexadecimal: function (obj) { return obj >= 0 ? '0x' + obj.toString(16).toUpperCase() : '-0x' + obj.toString(16).toUpperCase().slice(1); } + }, + defaultStyle: 'decimal', + styleAliases: { + binary: [ 2, 'bin' ], + octal: [ 8, 'oct' ], + decimal: [ 10, 'dec' ], + hexadecimal: [ 16, 'hex' ] } - return state.tag !== null || state.anchor !== null || hasContent; -} +}); + + /***/ }), + +/***/ 6150: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; -function readDocument(state) { - var documentStart = state.position, - _position, - directiveName, - directiveArgs, - hasDirectives = false, - ch; + var Type = __nccwpck_require__(6073); + + module.exports = new Type('tag:yaml.org,2002:map', { + kind: 'mapping', + construct: function (data) { return data !== null ? data : {}; } +}); - state.version = null; - state.checkLineBreaks = state.legacy; - state.tagMap = Object.create(null); - state.anchorMap = Object.create(null); + /***/ }), - while ((ch = state.input.charCodeAt(state.position)) !== 0) { - skipSeparationSpace(state, true, -1); +/***/ 6104: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - ch = state.input.charCodeAt(state.position); + var Type = __nccwpck_require__(6073); - if (state.lineIndent > 0 || ch !== 0x25/* % */) { - break; + function resolveYamlMerge(data) { + return data === '<<' || data === null; } - hasDirectives = true; - ch = state.input.charCodeAt(++state.position); - _position = state.position; + module.exports = new Type('tag:yaml.org,2002:merge', {kind : 'scalar', resolve : resolveYamlMerge}); - while (ch !== 0 && !is_WS_OR_EOL(ch)) { - ch = state.input.charCodeAt(++state.position); + /***/ }), + +/***/ 721: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var Type = __nccwpck_require__(6073); + + function resolveYamlNull(data) { + if (data === null) + return true; + + var max = data.length; + + return (max === 1 && data === '~') || (max === 4 && (data === 'null' || data === 'Null' || data === 'NULL')); } - directiveName = state.input.slice(_position, state.position); - directiveArgs = []; + function constructYamlNull() { + return null; + } - if (directiveName.length < 1) { - throwError(state, 'directive name must not be less than one character in length'); + function isNull(object) { + return object === null; } - while (ch !== 0) { - while (is_WHITE_SPACE(ch)) { - ch = state.input.charCodeAt(++state.position); - } + module.exports = new Type('tag:yaml.org,2002:null', { + kind: 'scalar', + resolve: resolveYamlNull, + construct: constructYamlNull, + predicate: isNull, + represent: { + canonical: function () { return '~'; }, + lowercase: function () { return 'null'; }, + uppercase: function () { return 'NULL'; }, + camelcase: function () { return 'Null'; }, + empty: function () { return ''; } + }, + defaultStyle: 'lowercase' +}); - if (ch === 0x23/* # */) { - do { ch = state.input.charCodeAt(++state.position); } - while (ch !== 0 && !is_EOL(ch)); - break; - } + /***/ }), + +/***/ 9046: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var Type = __nccwpck_require__(6073); + + var _hasOwnProperty = Object.prototype.hasOwnProperty; + var _toString = Object.prototype.toString; + + function resolveYamlOmap(data) { + if (data === null) + return true; + + var objectKeys = [], index, length, pair, pairKey, pairHasKey, object = data; + + for (index = 0, length = object.length; index < length; index += 1) { + pair = object[index]; + pairHasKey = false; + + if (_toString.call(pair) !== '[object Object]') + return false; - if (is_EOL(ch)) break; + for (pairKey in pair) { + if (_hasOwnProperty.call(pair, pairKey)) { + if (!pairHasKey) + pairHasKey = true; + else + return false; + } + } - _position = state.position; + if (!pairHasKey) + return false; - while (ch !== 0 && !is_WS_OR_EOL(ch)) { - ch = state.input.charCodeAt(++state.position); + if (objectKeys.indexOf(pairKey) === -1) + objectKeys.push(pairKey); + else + return false; } - directiveArgs.push(state.input.slice(_position, state.position)); + return true; } - if (ch !== 0) readLineBreak(state); - - if (_hasOwnProperty.call(directiveHandlers, directiveName)) { - directiveHandlers[directiveName](state, directiveName, directiveArgs); - } else { - throwWarning(state, 'unknown document directive "' + directiveName + '"'); + function constructYamlOmap(data) { + return data !== null ? data : []; } - } - skipSeparationSpace(state, true, -1); + module.exports = new Type( + 'tag:yaml.org,2002:omap', {kind : 'sequence', resolve : resolveYamlOmap, construct : constructYamlOmap}); - if (state.lineIndent === 0 && - state.input.charCodeAt(state.position) === 0x2D/* - */ && - state.input.charCodeAt(state.position + 1) === 0x2D/* - */ && - state.input.charCodeAt(state.position + 2) === 0x2D/* - */) { - state.position += 3; - skipSeparationSpace(state, true, -1); + /***/ }), - } else if (hasDirectives) { - throwError(state, 'directives end mark is expected'); - } +/***/ 6860: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - composeNode(state, state.lineIndent - 1, CONTEXT_BLOCK_OUT, false, true); - skipSeparationSpace(state, true, -1); + var Type = __nccwpck_require__(6073); - if (state.checkLineBreaks && - PATTERN_NON_ASCII_LINE_BREAKS.test(state.input.slice(documentStart, state.position))) { - throwWarning(state, 'non-ASCII line breaks are interpreted as content'); - } + var _toString = Object.prototype.toString; - state.documents.push(state.result); + function resolveYamlPairs(data) { + if (data === null) + return true; - if (state.position === state.lineStart && testDocumentSeparator(state)) { + var index, length, pair, keys, result, object = data; - if (state.input.charCodeAt(state.position) === 0x2E/* . */) { - state.position += 3; - skipSeparationSpace(state, true, -1); - } - return; - } + result = new Array(object.length); - if (state.position < (state.length - 1)) { - throwError(state, 'end of the stream or a document separator is expected'); - } else { - return; - } -} + for (index = 0, length = object.length; index < length; index += 1) { + pair = object[index]; + if (_toString.call(pair) !== '[object Object]') + return false; -function loadDocuments(input, options) { - input = String(input); - options = options || {}; + keys = Object.keys(pair); - if (input.length !== 0) { + if (keys.length !== 1) + return false; - // Add tailing `\n` if not exists - if (input.charCodeAt(input.length - 1) !== 0x0A/* LF */ && - input.charCodeAt(input.length - 1) !== 0x0D/* CR */) { - input += '\n'; - } + result[index] = [ keys[0], pair[keys[0]] ]; + } - // Strip BOM - if (input.charCodeAt(0) === 0xFEFF) { - input = input.slice(1); + return true; } - } - var state = new State(input, options); + function constructYamlPairs(data) { + if (data === null) + return []; - var nullpos = input.indexOf('\0'); - - if (nullpos !== -1) { - state.position = nullpos; - throwError(state, 'null byte is not allowed in input'); - } + var index, length, pair, keys, result, object = data; - // Use 0 as string terminator. That significantly simplifies bounds check. - state.input += '\0'; + result = new Array(object.length); - while (state.input.charCodeAt(state.position) === 0x20/* Space */) { - state.lineIndent += 1; - state.position += 1; - } + for (index = 0, length = object.length; index < length; index += 1) { + pair = object[index]; - while (state.position < (state.length - 1)) { - readDocument(state); - } + keys = Object.keys(pair); - return state.documents; -} + result[index] = [ keys[0], pair[keys[0]] ]; + } + return result; + } -function loadAll(input, iterator, options) { - if (iterator !== null && typeof iterator === 'object' && typeof options === 'undefined') { - options = iterator; - iterator = null; - } + module.exports = new Type( + 'tag:yaml.org,2002:pairs', {kind : 'sequence', resolve : resolveYamlPairs, construct : constructYamlPairs}); - var documents = loadDocuments(input, options); + /***/ }), - if (typeof iterator !== 'function') { - return documents; - } +/***/ 7283: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - for (var index = 0, length = documents.length; index < length; index += 1) { - iterator(documents[index]); - } -} + var Type = __nccwpck_require__(6073); + module.exports = new Type('tag:yaml.org,2002:seq', { + kind: 'sequence', + construct: function (data) { return data !== null ? data : []; } +}); -function load(input, options) { - var documents = loadDocuments(input, options); + /***/ }), - if (documents.length === 0) { - /*eslint-disable no-undefined*/ - return undefined; - } else if (documents.length === 1) { - return documents[0]; - } - throw new YAMLException('expected a single document in the stream, but found more'); -} +/***/ 9548: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + var Type = __nccwpck_require__(6073); -module.exports.loadAll = loadAll; -module.exports.load = load; + var _hasOwnProperty = Object.prototype.hasOwnProperty; + function resolveYamlSet(data) { + if (data === null) + return true; -/***/ }), + var key, object = data; -/***/ 1082: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + for (key in object) { + if (_hasOwnProperty.call(object, key)) { + if (object[key] !== null) + return false; + } + } -"use strict"; + return true; + } + function constructYamlSet(data) { + return data !== null ? data : {}; + } -/*eslint-disable max-len*/ + module.exports = + new Type('tag:yaml.org,2002:set', {kind : 'mapping', resolve : resolveYamlSet, construct : constructYamlSet}); -var YAMLException = __nccwpck_require__(8179); -var Type = __nccwpck_require__(6073); + /***/ }), +/***/ 3619: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; -function compileList(schema, name) { - var result = []; + var Type = __nccwpck_require__(6073); - schema[name].forEach(function (currentType) { - var newIndex = result.length; + module.exports = new Type('tag:yaml.org,2002:str', { + kind: 'scalar', + construct: function (data) { return data !== null ? data : ''; } +}); - result.forEach(function (previousType, previousIndex) { - if (previousType.tag === currentType.tag && - previousType.kind === currentType.kind && - previousType.multi === currentType.multi) { + /***/ }), - newIndex = previousIndex; - } - }); +/***/ 9212: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; + + var Type = __nccwpck_require__(6073); + + var YAML_DATE_REGEXP = new RegExp( + '^([0-9][0-9][0-9][0-9])' + // [1] year + '-([0-9][0-9])' + // [2] month + '-([0-9][0-9])$'); // [3] day + + var YAML_TIMESTAMP_REGEXP = new RegExp( + '^([0-9][0-9][0-9][0-9])' + // [1] year + '-([0-9][0-9]?)' + // [2] month + '-([0-9][0-9]?)' + // [3] day + '(?:[Tt]|[ \\t]+)' + // ... + '([0-9][0-9]?)' + // [4] hour + ':([0-9][0-9])' + // [5] minute + ':([0-9][0-9])' + // [6] second + '(?:\\.([0-9]*))?' + // [7] fraction + '(?:[ \\t]*(Z|([-+])([0-9][0-9]?)' + // [8] tz [9] tz_sign [10] tz_hour + '(?::([0-9][0-9]))?))?$'); // [11] tz_minute + + function resolveYamlTimestamp(data) { + if (data === null) + return false; + if (YAML_DATE_REGEXP.exec(data) !== null) + return true; + if (YAML_TIMESTAMP_REGEXP.exec(data) !== null) + return true; + return false; + } - result[newIndex] = currentType; - }); + function constructYamlTimestamp(data) { + var match, year, month, day, hour, minute, second, fraction = 0, delta = null, tz_hour, tz_minute, date; - return result; -} + match = YAML_DATE_REGEXP.exec(data); + if (match === null) + match = YAML_TIMESTAMP_REGEXP.exec(data); + if (match === null) + throw new Error('Date resolve error'); -function compileMap(/* lists... */) { - var result = { - scalar: {}, - sequence: {}, - mapping: {}, - fallback: {}, - multi: { - scalar: [], - sequence: [], - mapping: [], - fallback: [] - } - }, index, length; - - function collectType(type) { - if (type.multi) { - result.multi[type.kind].push(type); - result.multi['fallback'].push(type); - } else { - result[type.kind][type.tag] = result['fallback'][type.tag] = type; - } - } + // match: [1] year [2] month [3] day - for (index = 0, length = arguments.length; index < length; index += 1) { - arguments[index].forEach(collectType); - } - return result; -} + year = +(match[1]); + month = +(match[2]) - 1; // JS month starts with 0 + day = +(match[3]); + if (!match[4]) { // no hour + return new Date(Date.UTC(year, month, day)); + } -function Schema(definition) { - return this.extend(definition); -} + // match: [4] hour [5] minute [6] second [7] fraction + hour = +(match[4]); + minute = +(match[5]); + second = +(match[6]); -Schema.prototype.extend = function extend(definition) { - var implicit = []; - var explicit = []; + if (match[7]) { + fraction = match[7].slice(0, 3); + while (fraction.length < 3) { // milli-seconds + fraction += '0'; + } + fraction = +fraction; + } - if (definition instanceof Type) { - // Schema.extend(type) - explicit.push(definition); + // match: [8] tz [9] tz_sign [10] tz_hour [11] tz_minute - } else if (Array.isArray(definition)) { - // Schema.extend([ type1, type2, ... ]) - explicit = explicit.concat(definition); + if (match[9]) { + tz_hour = +(match[10]); + tz_minute = +(match[11] || 0); + delta = (tz_hour * 60 + tz_minute) * 60000; // delta in mili-seconds + if (match[9] === '-') + delta = -delta; + } - } else if (definition && (Array.isArray(definition.implicit) || Array.isArray(definition.explicit))) { - // Schema.extend({ explicit: [ type1, type2, ... ], implicit: [ type1, type2, ... ] }) - if (definition.implicit) implicit = implicit.concat(definition.implicit); - if (definition.explicit) explicit = explicit.concat(definition.explicit); + date = new Date(Date.UTC(year, month, day, hour, minute, second, fraction)); - } else { - throw new YAMLException('Schema.extend argument should be a Type, [ Type ], ' + - 'or a schema definition ({ implicit: [...], explicit: [...] })'); - } + if (delta) + date.setTime(date.getTime() - delta); - implicit.forEach(function (type) { - if (!(type instanceof Type)) { - throw new YAMLException('Specified list of YAML types (or a single Type object) contains a non-Type object.'); + return date; } - if (type.loadKind && type.loadKind !== 'scalar') { - throw new YAMLException('There is a non-scalar type in the implicit list of a schema. Implicit resolving of such types is not supported.'); + function representYamlTimestamp(object /*, style*/) { + return object.toISOString(); } - if (type.multi) { - throw new YAMLException('There is a multi type in the implicit list of a schema. Multi tags can only be listed as explicit.'); - } - }); + module.exports = new Type('tag:yaml.org,2002:timestamp', { + kind : 'scalar', + resolve : resolveYamlTimestamp, + construct : constructYamlTimestamp, + instanceOf : Date, + represent : representYamlTimestamp + }); - explicit.forEach(function (type) { - if (!(type instanceof Type)) { - throw new YAMLException('Specified list of YAML types (or a single Type object) contains a non-Type object.'); - } - }); + /***/ }), - var result = Object.create(Schema.prototype); +/***/ 467: +/***/ ((module, exports, __nccwpck_require__) => { + "use strict"; - result.implicit = (this.implicit || []).concat(implicit); - result.explicit = (this.explicit || []).concat(explicit); + Object.defineProperty(exports, "__esModule", ({value : true})); - result.compiledImplicit = compileList(result, 'implicit'); - result.compiledExplicit = compileList(result, 'explicit'); - result.compiledTypeMap = compileMap(result.compiledImplicit, result.compiledExplicit); + function _interopDefault(ex) { + return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; + } - return result; -}; + var Stream = _interopDefault(__nccwpck_require__(2781)); + var http = _interopDefault(__nccwpck_require__(3685)); + var Url = _interopDefault(__nccwpck_require__(7310)); + var whatwgUrl = _interopDefault(__nccwpck_require__(8665)); + var https = _interopDefault(__nccwpck_require__(5687)); + var zlib = _interopDefault(__nccwpck_require__(9796)); + // Based on https://github.com/tmpvar/jsdom/blob/aa85b2abf07766ff7bf5c1f6daafb3726f2f2db5/lib/jsdom/living/blob.js -module.exports = Schema; + // fix for "Readable" isn't a named export issue + const Readable = Stream.Readable; + const BUFFER = Symbol('buffer'); + const TYPE = Symbol('type'); -/***/ }), + class Blob { + constructor() { + this[TYPE] = ''; -/***/ 2011: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + const blobParts = arguments[0]; + const options = arguments[1]; -"use strict"; -// Standard YAML's Core schema. -// http://www.yaml.org/spec/1.2/spec.html#id2804923 -// -// NOTE: JS-YAML does not support schema-specific tag resolution restrictions. -// So, Core schema has no distinctions from JSON schema is JS-YAML. + const buffers = []; + let size = 0; + if (blobParts) { + const a = blobParts; + const length = Number(a.length); + for (let i = 0; i < length; i++) { + const element = a[i]; + let buffer; + if (element instanceof Buffer) { + buffer = element; + } else if (ArrayBuffer.isView(element)) { + buffer = Buffer.from(element.buffer, element.byteOffset, element.byteLength); + } else if (element instanceof ArrayBuffer) { + buffer = Buffer.from(element); + } else if (element instanceof Blob) { + buffer = element[BUFFER]; + } else { + buffer = Buffer.from(typeof element === 'string' ? element : String(element)); + } + size += buffer.length; + buffers.push(buffer); + } + } + this[BUFFER] = Buffer.concat(buffers); + let type = options && options.type !== undefined && String(options.type).toLowerCase(); + if (type && !/[^\u0020-\u007E]/.test(type)) { + this[TYPE] = type; + } + } + get size() { + return this[BUFFER].length; + } + get type() { + return this[TYPE]; + } + text() { + return Promise.resolve(this[BUFFER].toString()); + } + arrayBuffer() { + const buf = this[BUFFER]; + const ab = buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength); + return Promise.resolve(ab); + } + stream() { + const readable = new Readable(); + readable._read = function() {}; + readable.push(this[BUFFER]); + readable.push(null); + return readable; + } + toString() { + return '[object Blob]'; + } + slice() { + const size = this.size; + + const start = arguments[0]; + const end = arguments[1]; + let relativeStart, relativeEnd; + if (start === undefined) { + relativeStart = 0; + } else if (start < 0) { + relativeStart = Math.max(size + start, 0); + } else { + relativeStart = Math.min(start, size); + } + if (end === undefined) { + relativeEnd = size; + } else if (end < 0) { + relativeEnd = Math.max(size + end, 0); + } else { + relativeEnd = Math.min(end, size); + } + const span = Math.max(relativeEnd - relativeStart, 0); + const buffer = this[BUFFER]; + const slicedBuffer = buffer.slice(relativeStart, relativeStart + span); + const blob = new Blob([], {type : arguments[2]}); + blob[BUFFER] = slicedBuffer; + return blob; + } + } -module.exports = __nccwpck_require__(1035); + Object.defineProperties( + Blob.prototype, {size : {enumerable : true}, type : {enumerable : true}, slice : {enumerable : true}}); + Object.defineProperty( + Blob.prototype, + Symbol.toStringTag, + {value : 'Blob', writable : false, enumerable : false, configurable : true}); -/***/ }), + /** + * fetch-error.js + * + * FetchError interface for operational errors + */ -/***/ 8759: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + /** + * Create FetchError instance + * + * @param String message Error message for human + * @param String type Error type for machine + * @param String systemError For Node.js system error + * @return FetchError + */ + function FetchError(message, type, systemError) { + Error.call(this, message); -"use strict"; -// JS-YAML's default schema for `safeLoad` function. -// It is not described in the YAML specification. -// -// This schema is based on standard YAML's Core schema and includes most of -// extra types described at YAML tag repository. (http://yaml.org/type/) + this.message = message; + this.type = type; + // when err.type is `system`, err.code contains system error code + if (systemError) { + this.code = this.errno = systemError.code; + } + // hide custom error implementation details from end-users + Error.captureStackTrace(this, this.constructor); + } + FetchError.prototype = Object.create(Error.prototype); + FetchError.prototype.constructor = FetchError; + FetchError.prototype.name = 'FetchError'; + let convert; + try { + convert = (__nccwpck_require__(2877).convert); + } catch (e) { + } -module.exports = (__nccwpck_require__(2011).extend)({ - implicit: [ - __nccwpck_require__(9212), - __nccwpck_require__(6104) - ], - explicit: [ - __nccwpck_require__(7900), - __nccwpck_require__(9046), - __nccwpck_require__(6860), - __nccwpck_require__(9548) - ] -}); + const INTERNALS = Symbol('Body internals'); + // fix an issue where "PassThrough" isn't a named export for node <10 + const PassThrough = Stream.PassThrough; -/***/ }), + /** + * Body mixin + * + * Ref: https://fetch.spec.whatwg.org/#body + * + * @param Stream body Readable stream + * @param Object opts Response options + * @return Void + */ + function Body(body) { + var _this = this; + + var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}, _ref$size = _ref.size; + + let size = _ref$size === undefined ? 0 : _ref$size; + var _ref$timeout = _ref.timeout; + let timeout = _ref$timeout === undefined ? 0 : _ref$timeout; + + if (body == null) { + // body is undefined or null + body = null; + } else if (isURLSearchParams(body)) { + // body is a URLSearchParams + body = Buffer.from(body.toString()); + } else if (isBlob(body)) + ; + else if (Buffer.isBuffer(body)) + ; + else if (Object.prototype.toString.call(body) === '[object ArrayBuffer]') { + // body is ArrayBuffer + body = Buffer.from(body); + } else if (ArrayBuffer.isView(body)) { + // body is ArrayBufferView + body = Buffer.from(body.buffer, body.byteOffset, body.byteLength); + } else if (body instanceof Stream) + ; + else { + // none of the above + // coerce to string then buffer + body = Buffer.from(String(body)); + } + this[INTERNALS] = {body, disturbed : false, error : null}; + this.size = size; + this.timeout = timeout; + + if (body instanceof Stream) { + body.on('error', function(err) { + const error = err.name === 'AbortError' + ? err + : new FetchError( + `Invalid response body while trying to fetch ${_this.url}: ${err.message}`, 'system', err); + _this[INTERNALS].error = error; + }); + } + } -/***/ 8562: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + Body.prototype = { + get body() { + return this[INTERNALS].body; + }, -"use strict"; -// Standard YAML's Failsafe schema. -// http://www.yaml.org/spec/1.2/spec.html#id2802346 + get bodyUsed() { + return this[INTERNALS].disturbed; + }, + /** + * Decode response as ArrayBuffer + * + * @return Promise + */ + arrayBuffer() { + return consumeBody.call(this).then(function(buf) { + return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength); + }); + }, + + /** + * Return raw response as Blob + * + * @return Promise + */ + blob() { + let ct = this.headers && this.headers.get('content-type') || ''; + return consumeBody.call(this).then(function(buf) { + return Object.assign( + // Prevent copying + new Blob([], {type : ct.toLowerCase()}), + {[BUFFER] : buf}); + }); + }, + + /** + * Decode response as json + * + * @return Promise + */ + json() { + var _this2 = this; + + return consumeBody.call(this).then(function(buffer) { + try { + return JSON.parse(buffer.toString()); + } catch (err) { + return Body.Promise.reject( + new FetchError(`invalid json response body at ${_this2.url} reason: ${err.message}`, 'invalid-json')); + } + }); + }, + + /** + * Decode response as text + * + * @return Promise + */ + text() { + return consumeBody.call(this).then(function(buffer) { + return buffer.toString(); + }); + }, + + /** + * Decode response as buffer (non-spec api) + * + * @return Promise + */ + buffer() { + return consumeBody.call(this); + }, + + /** + * Decode response as text, while automatically detecting the encoding and + * trying to decode to UTF-8 (non-spec api) + * + * @return Promise + */ + textConverted() { + var _this3 = this; + + return consumeBody.call(this).then(function(buffer) { + return convertBody(buffer, _this3.headers); + }); + } + }; + // In browsers, all properties are enumerable. + Object.defineProperties(Body.prototype, { + body : {enumerable : true}, + bodyUsed : {enumerable : true}, + arrayBuffer : {enumerable : true}, + blob : {enumerable : true}, + json : {enumerable : true}, + text : {enumerable : true} + }); + Body.mixIn = function(proto) { + for (const name of Object.getOwnPropertyNames(Body.prototype)) { + // istanbul ignore else: future proof + if (!(name in proto)) { + const desc = Object.getOwnPropertyDescriptor(Body.prototype, name); + Object.defineProperty(proto, name, desc); + } + } + }; + /** + * Consume and convert an entire Body to a Buffer. + * + * Ref: https://fetch.spec.whatwg.org/#concept-body-consume-body + * + * @return Promise + */ + function consumeBody() { + var _this4 = this; -var Schema = __nccwpck_require__(1082); + if (this[INTERNALS].disturbed) { + return Body.Promise.reject(new TypeError(`body used already for: ${this.url}`)); + } + this[INTERNALS].disturbed = true; -module.exports = new Schema({ - explicit: [ - __nccwpck_require__(3619), - __nccwpck_require__(7283), - __nccwpck_require__(6150) - ] -}); + if (this[INTERNALS].error) { + return Body.Promise.reject(this[INTERNALS].error); + } + let body = this.body; -/***/ }), + // body is null + if (body === null) { + return Body.Promise.resolve(Buffer.alloc(0)); + } -/***/ 1035: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + // body is blob + if (isBlob(body)) { + body = body.stream(); + } -"use strict"; -// Standard YAML's JSON schema. -// http://www.yaml.org/spec/1.2/spec.html#id2803231 -// -// NOTE: JS-YAML does not support schema-specific tag resolution restrictions. -// So, this schema is not such strict as defined in the YAML specification. -// It allows numbers in binary notaion, use `Null` and `NULL` as `null`, etc. + // body is buffer + if (Buffer.isBuffer(body)) { + return Body.Promise.resolve(body); + } + // istanbul ignore if: should never happen + if (!(body instanceof Stream)) { + return Body.Promise.resolve(Buffer.alloc(0)); + } + // body is stream + // get ready to actually consume the body + let accum = []; + let accumBytes = 0; + let abort = false; + + return new Body.Promise(function(resolve, reject) { + let resTimeout; + + // allow timeout on slow response body + if (_this4.timeout) { + resTimeout = setTimeout(function() { + abort = true; + reject(new FetchError( + `Response timeout while trying to fetch ${_this4.url} (over ${_this4.timeout}ms)`, 'body-timeout')); + }, _this4.timeout); + } + // handle stream errors + body.on('error', function(err) { + if (err.name === 'AbortError') { + // if the request was aborted, reject with this Error + abort = true; + reject(err); + } else { + // other errors, such as incorrect content-encoding + reject(new FetchError( + `Invalid response body while trying to fetch ${_this4.url}: ${err.message}`, 'system', err)); + } + }); + body.on('data', function(chunk) { + if (abort || chunk === null) { + return; + } -module.exports = (__nccwpck_require__(8562).extend)({ - implicit: [ - __nccwpck_require__(721), - __nccwpck_require__(4993), - __nccwpck_require__(1615), - __nccwpck_require__(2705) - ] -}); + if (_this4.size && accumBytes + chunk.length > _this4.size) { + abort = true; + reject(new FetchError(`content size at ${_this4.url} over limit: ${_this4.size}`, 'max-size')); + return; + } + accumBytes += chunk.length; + accum.push(chunk); + }); -/***/ }), + body.on('end', function() { + if (abort) { + return; + } -/***/ 6975: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + clearTimeout(resTimeout); -"use strict"; + try { + resolve(Buffer.concat(accum, accumBytes)); + } catch (err) { + // handle streams that have accumulated too much data (issue #414) + reject(new FetchError( + `Could not create Buffer from response body for ${_this4.url}: ${err.message}`, 'system', err)); + } + }); + }); + } + /** + * Detect buffer encoding and convert to target encoding + * ref: http://www.w3.org/TR/2011/WD-html5-20110113/parsing.html#determining-the-character-encoding + * + * @param Buffer buffer Incoming buffer + * @param String encoding Target encoding + * @return String + */ + function convertBody(buffer, headers) { + if (typeof convert !== 'function') { + throw new Error('The package `encoding` must be installed to use the textConverted() function'); + } + const ct = headers.get('content-type'); + let charset = 'utf-8'; + let res, str; -var common = __nccwpck_require__(6829); + // header + if (ct) { + res = /charset=([^;]*)/i.exec(ct); + } + // no charset in content type, peek at response body for at most 1024 bytes + str = buffer.slice(0, 1024).toString(); -// get snippet for a single line, respecting maxLength -function getLine(buffer, lineStart, lineEnd, position, maxLineLength) { - var head = ''; - var tail = ''; - var maxHalfLength = Math.floor(maxLineLength / 2) - 1; + // html5 + if (!res && str) { + res = / maxHalfLength) { - head = ' ... '; - lineStart = position - maxHalfLength + head.length; - } + // html4 + if (!res && str) { + res = / maxHalfLength) { - tail = ' ...'; - lineEnd = position + maxHalfLength - tail.length; - } + if (res) { + res = /charset=(.*)/i.exec(res.pop()); + } + } - return { - str: head + buffer.slice(lineStart, lineEnd).replace(/\t/g, '→') + tail, - pos: position - lineStart + head.length // relative position - }; -} + // xml + if (!res && str) { + res = /<\?xml.+?encoding=(['"])(.+?)\1/i.exec(str); + } + // found charset + if (res) { + charset = res.pop(); -function padStart(string, max) { - return common.repeat(' ', max - string.length) + string; -} + // prevent decode issues when sites use incorrect encoding + // ref: https://hsivonen.fi/encoding-menu/ + if (charset === 'gb2312' || charset === 'gbk') { + charset = 'gb18030'; + } + } + + // turn raw buffers into a single utf-8 buffer + return convert(buffer, 'UTF-8', charset).toString(); + } + /** + * Detect a URLSearchParams object + * ref: https://github.com/bitinn/node-fetch/issues/296#issuecomment-307598143 + * + * @param Object obj Object to detect by type or brand + * @return String + */ + function isURLSearchParams(obj) { + // Duck-typing as a necessary condition. + if (typeof obj !== 'object' || typeof obj.append !== 'function' || typeof obj.delete !== 'function' || + typeof obj.get !== 'function' || typeof obj.getAll !== 'function' || typeof obj.has !== 'function' || + typeof obj.set !== 'function') { + return false; + } -function makeSnippet(mark, options) { - options = Object.create(options || null); + // Brand-checking and more duck-typing as optional condition. + return obj.constructor.name === 'URLSearchParams' || + Object.prototype.toString.call(obj) === '[object URLSearchParams]' || typeof obj.sort === 'function'; + } - if (!mark.buffer) return null; + /** + * Check if `obj` is a W3C `Blob` object (which `File` inherits from) + * @param {*} obj + * @return {boolean} + */ + function isBlob(obj) { + return typeof obj === 'object' && typeof obj.arrayBuffer === 'function' && typeof obj.type === 'string' && + typeof obj.stream === 'function' && typeof obj.constructor === 'function' && + typeof obj.constructor.name === 'string' && /^(Blob|File)$/.test(obj.constructor.name) && + /^(Blob|File)$/.test(obj[Symbol.toStringTag]); + } - if (!options.maxLength) options.maxLength = 79; - if (typeof options.indent !== 'number') options.indent = 1; - if (typeof options.linesBefore !== 'number') options.linesBefore = 3; - if (typeof options.linesAfter !== 'number') options.linesAfter = 2; + /** + * Clone body given Res/Req instance + * + * @param Mixed instance Response or Request instance + * @return Mixed + */ + function clone(instance) { + let p1, p2; + let body = instance.body; - var re = /\r?\n|\r|\0/g; - var lineStarts = [ 0 ]; - var lineEnds = []; - var match; - var foundLineNo = -1; + // don't allow cloning a used body + if (instance.bodyUsed) { + throw new Error('cannot clone body after it is used'); + } - while ((match = re.exec(mark.buffer))) { - lineEnds.push(match.index); - lineStarts.push(match.index + match[0].length); + // check that body is a stream and not form-data object + // note: we can't clone the form-data object without having it as a dependency + if (body instanceof Stream && typeof body.getBoundary !== 'function') { + // tee instance body + p1 = new PassThrough(); + p2 = new PassThrough(); + body.pipe(p1); + body.pipe(p2); + // set instance body to teed body and return the other teed body + instance[INTERNALS].body = p1; + body = p2; + } - if (mark.position <= match.index && foundLineNo < 0) { - foundLineNo = lineStarts.length - 2; + return body; } - } - - if (foundLineNo < 0) foundLineNo = lineStarts.length - 1; - - var result = '', i, line; - var lineNoLength = Math.min(mark.line + options.linesAfter, lineEnds.length).toString().length; - var maxLineLength = options.maxLength - (options.indent + lineNoLength + 3); - - for (i = 1; i <= options.linesBefore; i++) { - if (foundLineNo - i < 0) break; - line = getLine( - mark.buffer, - lineStarts[foundLineNo - i], - lineEnds[foundLineNo - i], - mark.position - (lineStarts[foundLineNo] - lineStarts[foundLineNo - i]), - maxLineLength - ); - result = common.repeat(' ', options.indent) + padStart((mark.line - i + 1).toString(), lineNoLength) + - ' | ' + line.str + '\n' + result; - } - line = getLine(mark.buffer, lineStarts[foundLineNo], lineEnds[foundLineNo], mark.position, maxLineLength); - result += common.repeat(' ', options.indent) + padStart((mark.line + 1).toString(), lineNoLength) + - ' | ' + line.str + '\n'; - result += common.repeat('-', options.indent + lineNoLength + 3 + line.pos) + '^' + '\n'; - - for (i = 1; i <= options.linesAfter; i++) { - if (foundLineNo + i >= lineEnds.length) break; - line = getLine( - mark.buffer, - lineStarts[foundLineNo + i], - lineEnds[foundLineNo + i], - mark.position - (lineStarts[foundLineNo] - lineStarts[foundLineNo + i]), - maxLineLength - ); - result += common.repeat(' ', options.indent) + padStart((mark.line + i + 1).toString(), lineNoLength) + - ' | ' + line.str + '\n'; - } + /** + * Performs the operation "extract a `Content-Type` value from |object|" as + * specified in the specification: + * https://fetch.spec.whatwg.org/#concept-bodyinit-extract + * + * This function assumes that instance.body is present. + * + * @param Mixed instance Any options.body input + */ + function extractContentType(body) { + if (body === null) { + // body is null + return null; + } else if (typeof body === 'string') { + // body is string + return 'text/plain;charset=UTF-8'; + } else if (isURLSearchParams(body)) { + // body is a URLSearchParams + return 'application/x-www-form-urlencoded;charset=UTF-8'; + } else if (isBlob(body)) { + // body is blob + return body.type || null; + } else if (Buffer.isBuffer(body)) { + // body is buffer + return null; + } else if (Object.prototype.toString.call(body) === '[object ArrayBuffer]') { + // body is ArrayBuffer + return null; + } else if (ArrayBuffer.isView(body)) { + // body is ArrayBufferView + return null; + } else if (typeof body.getBoundary === 'function') { + // detect form data input from form-data module + return `multipart/form-data;boundary=${body.getBoundary()}`; + } else if (body instanceof Stream) { + // body is stream + // can't really do much about this + return null; + } else { + // Body constructor defaults other things to string + return 'text/plain;charset=UTF-8'; + } + } - return result.replace(/\n$/, ''); -} + /** + * The Fetch Standard treats this as if "total bytes" is a property on the body. + * For us, we have to explicitly get it with a function. + * + * ref: https://fetch.spec.whatwg.org/#concept-body-total-bytes + * + * @param Body instance Instance of Body + * @return Number? Number of bytes, or null if not possible + */ + function getTotalBytes(instance) { + const body = instance.body; + + if (body === null) { + // body is null + return 0; + } else if (isBlob(body)) { + return body.size; + } else if (Buffer.isBuffer(body)) { + // body is buffer + return body.length; + } else if (body && typeof body.getLengthSync === 'function') { + // detect form data input from form-data module + if (body._lengthRetrievers && body._lengthRetrievers.length == 0 || // 1.x + body.hasKnownLength && body.hasKnownLength()) { + // 2.x + return body.getLengthSync(); + } + return null; + } else { + // body is stream + return null; + } + } + /** + * Write a Body to a Node.js WritableStream (e.g. http.Request) object. + * + * @param Body instance Instance of Body + * @return Void + */ + function writeToStream(dest, instance) { + const body = instance.body; + + if (body === null) { + // body is null + dest.end(); + } else if (isBlob(body)) { + body.stream().pipe(dest); + } else if (Buffer.isBuffer(body)) { + // body is buffer + dest.write(body); + dest.end(); + } else { + // body is stream + body.pipe(dest); + } + } -module.exports = makeSnippet; + // expose Promise + Body.Promise = global.Promise; + /** + * headers.js + * + * Headers class offers convenient helpers + */ -/***/ }), + const invalidTokenRegex = /[^\^_`a-zA-Z\-0-9!#$%&'*+.|~]/; + const invalidHeaderCharRegex = /[^\t\x20-\x7e\x80-\xff]/; -/***/ 6073: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + function validateName(name) { + name = `${name}`; + if (invalidTokenRegex.test(name) || name === '') { + throw new TypeError(`${name} is not a legal HTTP header name`); + } + } -"use strict"; - - -var YAMLException = __nccwpck_require__(8179); - -var TYPE_CONSTRUCTOR_OPTIONS = [ - 'kind', - 'multi', - 'resolve', - 'construct', - 'instanceOf', - 'predicate', - 'represent', - 'representName', - 'defaultStyle', - 'styleAliases' -]; - -var YAML_NODE_KINDS = [ - 'scalar', - 'sequence', - 'mapping' -]; - -function compileStyleAliases(map) { - var result = {}; - - if (map !== null) { - Object.keys(map).forEach(function (style) { - map[style].forEach(function (alias) { - result[String(alias)] = style; - }); - }); - } + function validateValue(value) { + value = `${value}`; + if (invalidHeaderCharRegex.test(value)) { + throw new TypeError(`${value} is not a legal HTTP header value`); + } + } - return result; -} + /** + * Find the key in the map object given a header name. + * + * Returns undefined if not found. + * + * @param String name Header name + * @return String|Undefined + */ + function find(map, name) { + name = name.toLowerCase(); + for (const key in map) { + if (key.toLowerCase() === name) { + return key; + } + } + return undefined; + } -function Type(tag, options) { - options = options || {}; - - Object.keys(options).forEach(function (name) { - if (TYPE_CONSTRUCTOR_OPTIONS.indexOf(name) === -1) { - throw new YAMLException('Unknown option "' + name + '" is met in definition of "' + tag + '" YAML type.'); - } - }); - - // TODO: Add tag format check. - this.options = options; // keep original options in case user wants to extend this type later - this.tag = tag; - this.kind = options['kind'] || null; - this.resolve = options['resolve'] || function () { return true; }; - this.construct = options['construct'] || function (data) { return data; }; - this.instanceOf = options['instanceOf'] || null; - this.predicate = options['predicate'] || null; - this.represent = options['represent'] || null; - this.representName = options['representName'] || null; - this.defaultStyle = options['defaultStyle'] || null; - this.multi = options['multi'] || false; - this.styleAliases = compileStyleAliases(options['styleAliases'] || null); - - if (YAML_NODE_KINDS.indexOf(this.kind) === -1) { - throw new YAMLException('Unknown kind "' + this.kind + '" is specified for "' + tag + '" YAML type.'); - } -} + const MAP = Symbol('map'); + class Headers { + /** + * Headers class + * + * @param Object headers Response headers + * @return Void + */ + constructor() { + let init = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : undefined; -module.exports = Type; + this[MAP] = Object.create(null); + if (init instanceof Headers) { + const rawHeaders = init.raw(); + const headerNames = Object.keys(rawHeaders); -/***/ }), + for (const headerName of headerNames) { + for (const value of rawHeaders[headerName]) { + this.append(headerName, value); + } + } -/***/ 7900: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + return; + } -"use strict"; + // We don't worry about converting prop to ByteString here as append() + // will handle it. + if (init == null) + ; + else if (typeof init === 'object') { + const method = init[Symbol.iterator]; + if (method != null) { + if (typeof method !== 'function') { + throw new TypeError('Header pairs must be iterable'); + } + // sequence> + // Note: per spec we have to first exhaust the lists then process them + const pairs = []; + for (const pair of init) { + if (typeof pair !== 'object' || typeof pair[Symbol.iterator] !== 'function') { + throw new TypeError('Each header pair must be iterable'); + } + pairs.push(Array.from(pair)); + } -/*eslint-disable no-bitwise*/ + for (const pair of pairs) { + if (pair.length !== 2) { + throw new TypeError('Each header pair must be a name/value tuple'); + } + this.append(pair[0], pair[1]); + } + } else { + // record + for (const key of Object.keys(init)) { + const value = init[key]; + this.append(key, value); + } + } + } else { + throw new TypeError('Provided initializer must be an object'); + } + } + /** + * Return combined header value given name + * + * @param String name Header name + * @return Mixed + */ + get(name) { + name = `${name}`; + validateName(name); + const key = find(this[MAP], name); + if (key === undefined) { + return null; + } -var Type = __nccwpck_require__(6073); + return this[MAP][key].join(', '); + } + /** + * Iterate over all headers + * + * @param Function callback Executed for each item with parameters (value, name, thisArg) + * @param Boolean thisArg `this` context for callback function + * @return Void + */ + forEach(callback) { + let thisArg = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : undefined; + + let pairs = getHeaders(this); + let i = 0; + while (i < pairs.length) { + var _pairs$i = pairs[i]; + const name = _pairs$i[0], value = _pairs$i[1]; + + callback.call(thisArg, value, name, this); + pairs = getHeaders(this); + i++; + } + } -// [ 64, 65, 66 ] -> [ padding, CR, LF ] -var BASE64_MAP = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\n\r'; + /** + * Overwrite header values given name + * + * @param String name Header name + * @param String value Header value + * @return Void + */ + set(name, value) { + name = `${name}`; + value = `${value}`; + validateName(name); + validateValue(value); + const key = find(this[MAP], name); + this[MAP][key !== undefined ? key : name] = [ value ]; + } + /** + * Append a value onto existing header + * + * @param String name Header name + * @param String value Header value + * @return Void + */ + append(name, value) { + name = `${name}`; + value = `${value}`; + validateName(name); + validateValue(value); + const key = find(this[MAP], name); + if (key !== undefined) { + this[MAP][key].push(value); + } else { + this[MAP][name] = [ value ]; + } + } -function resolveYamlBinary(data) { - if (data === null) return false; + /** + * Check for header name existence + * + * @param String name Header name + * @return Boolean + */ + has(name) { + name = `${name}`; + validateName(name); + return find(this[MAP], name) !== undefined; + } - var code, idx, bitlen = 0, max = data.length, map = BASE64_MAP; + /** + * Delete all header values given name + * + * @param String name Header name + * @return Void + */ + delete(name) { + name = `${name}`; + validateName(name); + const key = find(this[MAP], name); + if (key !== undefined) { + delete this[MAP][key]; + } + } - // Convert one by one. - for (idx = 0; idx < max; idx++) { - code = map.indexOf(data.charAt(idx)); + /** + * Return raw headers (non-spec api) + * + * @return Object + */ + raw() { + return this[MAP]; + } - // Skip CR/LF - if (code > 64) continue; + /** + * Get an iterator on keys. + * + * @return Iterator + */ + keys() { + return createHeadersIterator(this, 'key'); + } - // Fail on illegal characters - if (code < 0) return false; + /** + * Get an iterator on values. + * + * @return Iterator + */ + values() { + return createHeadersIterator(this, 'value'); + } - bitlen += 6; - } + /** + * Get an iterator on entries. + * + * This is the default iterator of the Headers object. + * + * @return Iterator + */ + [Symbol.iterator]() { + return createHeadersIterator(this, 'key+value'); + } + } + Headers.prototype.entries = Headers.prototype[Symbol.iterator]; + + Object.defineProperty( + Headers.prototype, + Symbol.toStringTag, + {value : 'Headers', writable : false, enumerable : false, configurable : true}); + + Object.defineProperties(Headers.prototype, { + get : {enumerable : true}, + forEach : {enumerable : true}, + set : {enumerable : true}, + append : {enumerable : true}, + has : {enumerable : true}, + delete : {enumerable : true}, + keys : {enumerable : true}, + values : {enumerable : true}, + entries : {enumerable : true} + }); - // If there are any bits left, source was corrupted - return (bitlen % 8) === 0; -} + function getHeaders(headers) { + let kind = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'key+value'; -function constructYamlBinary(data) { - var idx, tailbits, - input = data.replace(/[\r\n=]/g, ''), // remove CR/LF & padding to simplify scan - max = input.length, - map = BASE64_MAP, - bits = 0, - result = []; + const keys = Object.keys(headers[MAP]).sort(); + return keys.map(kind === 'key' ? function (k) { + return k.toLowerCase(); + } : kind === 'value' ? function (k) { + return headers[MAP][k].join(', '); + } : function (k) { + return [k.toLowerCase(), headers[MAP][k].join(', ')]; + }); + } - // Collect by 6*4 bits (3 bytes) + const INTERNAL = Symbol('internal'); - for (idx = 0; idx < max; idx++) { - if ((idx % 4 === 0) && idx) { - result.push((bits >> 16) & 0xFF); - result.push((bits >> 8) & 0xFF); - result.push(bits & 0xFF); + function createHeadersIterator(target, kind) { + const iterator = Object.create(HeadersIteratorPrototype); + iterator[INTERNAL] = {target, kind, index : 0}; + return iterator; } - bits = (bits << 6) | map.indexOf(input.charAt(idx)); - } + const HeadersIteratorPrototype = Object.setPrototypeOf( + { + next() { + // istanbul ignore if + if (!this || Object.getPrototypeOf(this) !== HeadersIteratorPrototype) { + throw new TypeError('Value of `this` is not a HeadersIterator'); + } - // Dump tail + var _INTERNAL = this[INTERNAL]; + const target = _INTERNAL.target, kind = _INTERNAL.kind, index = _INTERNAL.index; - tailbits = (max % 4) * 6; + const values = getHeaders(target, kind); + const len = values.length; + if (index >= len) { + return {value : undefined, done : true}; + } - if (tailbits === 0) { - result.push((bits >> 16) & 0xFF); - result.push((bits >> 8) & 0xFF); - result.push(bits & 0xFF); - } else if (tailbits === 18) { - result.push((bits >> 10) & 0xFF); - result.push((bits >> 2) & 0xFF); - } else if (tailbits === 12) { - result.push((bits >> 4) & 0xFF); - } + this[INTERNAL].index = index + 1; - return new Uint8Array(result); -} + return {value : values[index], done : false}; + } + }, + Object.getPrototypeOf(Object.getPrototypeOf([][Symbol.iterator]()))); -function representYamlBinary(object /*, style*/) { - var result = '', bits = 0, idx, tail, - max = object.length, - map = BASE64_MAP; + Object.defineProperty( + HeadersIteratorPrototype, + Symbol.toStringTag, + {value : 'HeadersIterator', writable : false, enumerable : false, configurable : true}); - // Convert every three bytes to 4 ASCII characters. + /** + * Export the Headers object in a form that Node.js can consume. + * + * @param Headers headers + * @return Object + */ + function exportNodeCompatibleHeaders(headers) { + const obj = Object.assign({__proto__ : null}, headers[MAP]); + + // http.request() only supports string as Host header. This hack makes + // specifying custom Host header possible. + const hostHeaderKey = find(headers[MAP], 'Host'); + if (hostHeaderKey !== undefined) { + obj[hostHeaderKey] = obj[hostHeaderKey][0]; + } - for (idx = 0; idx < max; idx++) { - if ((idx % 3 === 0) && idx) { - result += map[(bits >> 18) & 0x3F]; - result += map[(bits >> 12) & 0x3F]; - result += map[(bits >> 6) & 0x3F]; - result += map[bits & 0x3F]; + return obj; } - bits = (bits << 8) + object[idx]; - } + /** + * Create a Headers object from an object of headers, ignoring those that do + * not conform to HTTP grammar productions. + * + * @param Object obj Object of headers + * @return Headers + */ + function createHeadersLenient(obj) { + const headers = new Headers(); + for (const name of Object.keys(obj)) { + if (invalidTokenRegex.test(name)) { + continue; + } + if (Array.isArray(obj[name])) { + for (const val of obj[name]) { + if (invalidHeaderCharRegex.test(val)) { + continue; + } + if (headers[MAP][name] === undefined) { + headers[MAP][name] = [ val ]; + } else { + headers[MAP][name].push(val); + } + } + } else if (!invalidHeaderCharRegex.test(obj[name])) { + headers[MAP][name] = [ obj[name] ]; + } + } + return headers; + } - // Dump tail - - tail = max % 3; - - if (tail === 0) { - result += map[(bits >> 18) & 0x3F]; - result += map[(bits >> 12) & 0x3F]; - result += map[(bits >> 6) & 0x3F]; - result += map[bits & 0x3F]; - } else if (tail === 2) { - result += map[(bits >> 10) & 0x3F]; - result += map[(bits >> 4) & 0x3F]; - result += map[(bits << 2) & 0x3F]; - result += map[64]; - } else if (tail === 1) { - result += map[(bits >> 2) & 0x3F]; - result += map[(bits << 4) & 0x3F]; - result += map[64]; - result += map[64]; - } + const INTERNALS$1 = Symbol('Response internals'); - return result; -} + // fix an issue where "STATUS_CODES" aren't a named export for node <10 + const STATUS_CODES = http.STATUS_CODES; -function isBinary(obj) { - return Object.prototype.toString.call(obj) === '[object Uint8Array]'; -} + /** + * Response class + * + * @param Stream body Readable stream + * @param Object opts Response options + * @return Void + */ + class Response { + constructor() { + let body = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; + let opts = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}; -module.exports = new Type('tag:yaml.org,2002:binary', { - kind: 'scalar', - resolve: resolveYamlBinary, - construct: constructYamlBinary, - predicate: isBinary, - represent: representYamlBinary -}); + Body.call(this, body, opts); + const status = opts.status || 200; + const headers = new Headers(opts.headers); -/***/ }), + if (body != null && !headers.has('Content-Type')) { + const contentType = extractContentType(body); + if (contentType) { + headers.append('Content-Type', contentType); + } + } -/***/ 4993: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + this[INTERNALS$1] = { + url : opts.url, + status, + statusText : opts.statusText || STATUS_CODES[status], + headers, + counter : opts.counter + }; + } -"use strict"; + get url() { + return this[INTERNALS$1].url || ''; + } + get status() { + return this[INTERNALS$1].status; + } -var Type = __nccwpck_require__(6073); + /** + * Convenience property representing if the request ended normally + */ + get ok() { + return this[INTERNALS$1].status >= 200 && this[INTERNALS$1].status < 300; + } -function resolveYamlBoolean(data) { - if (data === null) return false; + get redirected() { + return this[INTERNALS$1].counter > 0; + } - var max = data.length; + get statusText() { + return this[INTERNALS$1].statusText; + } - return (max === 4 && (data === 'true' || data === 'True' || data === 'TRUE')) || - (max === 5 && (data === 'false' || data === 'False' || data === 'FALSE')); -} + get headers() { + return this[INTERNALS$1].headers; + } -function constructYamlBoolean(data) { - return data === 'true' || - data === 'True' || - data === 'TRUE'; -} + /** + * Clone this response + * + * @return Response + */ + clone() { + return new Response(clone(this), { + url : this.url, + status : this.status, + statusText : this.statusText, + headers : this.headers, + ok : this.ok, + redirected : this.redirected + }); + } + } -function isBoolean(object) { - return Object.prototype.toString.call(object) === '[object Boolean]'; -} + Body.mixIn(Response.prototype); -module.exports = new Type('tag:yaml.org,2002:bool', { - kind: 'scalar', - resolve: resolveYamlBoolean, - construct: constructYamlBoolean, - predicate: isBoolean, - represent: { - lowercase: function (object) { return object ? 'true' : 'false'; }, - uppercase: function (object) { return object ? 'TRUE' : 'FALSE'; }, - camelcase: function (object) { return object ? 'True' : 'False'; } - }, - defaultStyle: 'lowercase' -}); + Object.defineProperties(Response.prototype, { + url : {enumerable : true}, + status : {enumerable : true}, + ok : {enumerable : true}, + redirected : {enumerable : true}, + statusText : {enumerable : true}, + headers : {enumerable : true}, + clone : {enumerable : true} + }); + Object.defineProperty( + Response.prototype, + Symbol.toStringTag, + {value : 'Response', writable : false, enumerable : false, configurable : true}); -/***/ }), + const INTERNALS$2 = Symbol('Request internals'); + const URL = Url.URL || whatwgUrl.URL; -/***/ 2705: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + // fix an issue where "format", "parse" aren't a named export for node <10 + const parse_url = Url.parse; + const format_url = Url.format; -"use strict"; + /** + * Wrapper around `new URL` to handle arbitrary URLs + * + * @param {string} urlStr + * @return {void} + */ + function parseURL(urlStr) { + /* + Check whether the URL is absolute or not + Scheme: https://tools.ietf.org/html/rfc3986#section-3.1 + Absolute URL: https://tools.ietf.org/html/rfc3986#section-4.3 +*/ + if (/^[a-zA-Z][a-zA-Z\d+\-.]*:/.exec(urlStr)) { + urlStr = new URL(urlStr).toString(); + } + // Fallback to old implementation for arbitrary URLs + return parse_url(urlStr); + } -var common = __nccwpck_require__(6829); -var Type = __nccwpck_require__(6073); + const streamDestructionSupported = 'destroy' in Stream.Readable.prototype; -var YAML_FLOAT_PATTERN = new RegExp( - // 2.5e4, 2.5 and integers - '^(?:[-+]?(?:[0-9][0-9_]*)(?:\\.[0-9_]*)?(?:[eE][-+]?[0-9]+)?' + - // .2e4, .2 - // special case, seems not from spec - '|\\.[0-9_]+(?:[eE][-+]?[0-9]+)?' + - // .inf - '|[-+]?\\.(?:inf|Inf|INF)' + - // .nan - '|\\.(?:nan|NaN|NAN))$'); + /** + * Check if a value is an instance of Request. + * + * @param Mixed input + * @return Boolean + */ + function isRequest(input) { + return typeof input === 'object' && typeof input[INTERNALS$2] === 'object'; + } -function resolveYamlFloat(data) { - if (data === null) return false; + function isAbortSignal(signal) { + const proto = signal && typeof signal === 'object' && Object.getPrototypeOf(signal); + return !!(proto && proto.constructor.name === 'AbortSignal'); + } - if (!YAML_FLOAT_PATTERN.test(data) || - // Quick hack to not allow integers end with `_` - // Probably should update regexp & check speed - data[data.length - 1] === '_') { - return false; - } + /** + * Request class + * + * @param Mixed input Url or Request instance + * @param Object init Custom options + * @return Void + */ + class Request { + constructor(input) { + let init = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}; + + let parsedURL; + + // normalize input + if (!isRequest(input)) { + if (input && input.href) { + // in order to support Node.js' Url objects; though WHATWG's URL objects + // will fall into this branch also (since their `toString()` will return + // `href` property anyway) + parsedURL = parseURL(input.href); + } else { + // coerce input to a string before attempting to parse + parsedURL = parseURL(`${input}`); + } + input = {}; + } else { + parsedURL = parseURL(input.url); + } - return true; -} + let method = init.method || input.method || 'GET'; + method = method.toUpperCase(); -function constructYamlFloat(data) { - var value, sign; + if ((init.body != null || isRequest(input) && input.body !== null) && (method === 'GET' || method === 'HEAD')) { + throw new TypeError('Request with GET/HEAD method cannot have body'); + } - value = data.replace(/_/g, '').toLowerCase(); - sign = value[0] === '-' ? -1 : 1; + let inputBody = init.body != null ? init.body : isRequest(input) && input.body !== null ? clone(input) : null; - if ('+-'.indexOf(value[0]) >= 0) { - value = value.slice(1); - } + Body.call(this, inputBody, {timeout : init.timeout || input.timeout || 0, size : init.size || input.size || 0}); - if (value === '.inf') { - return (sign === 1) ? Number.POSITIVE_INFINITY : Number.NEGATIVE_INFINITY; + const headers = new Headers(init.headers || input.headers || {}); - } else if (value === '.nan') { - return NaN; - } - return sign * parseFloat(value, 10); -} + if (inputBody != null && !headers.has('Content-Type')) { + const contentType = extractContentType(inputBody); + if (contentType) { + headers.append('Content-Type', contentType); + } + } + let signal = isRequest(input) ? input.signal : null; + if ('signal' in init) + signal = init.signal; -var SCIENTIFIC_WITHOUT_DOT = /^[-+]?[0-9]+e/; + if (signal != null && !isAbortSignal(signal)) { + throw new TypeError('Expected signal to be an instanceof AbortSignal'); + } -function representYamlFloat(object, style) { - var res; + this[INTERNALS$2] = + {method, redirect : init.redirect || input.redirect || 'follow', headers, parsedURL, signal}; - if (isNaN(object)) { - switch (style) { - case 'lowercase': return '.nan'; - case 'uppercase': return '.NAN'; - case 'camelcase': return '.NaN'; - } - } else if (Number.POSITIVE_INFINITY === object) { - switch (style) { - case 'lowercase': return '.inf'; - case 'uppercase': return '.INF'; - case 'camelcase': return '.Inf'; - } - } else if (Number.NEGATIVE_INFINITY === object) { - switch (style) { - case 'lowercase': return '-.inf'; - case 'uppercase': return '-.INF'; - case 'camelcase': return '-.Inf'; - } - } else if (common.isNegativeZero(object)) { - return '-0.0'; - } + // node-fetch-only options + this.follow = init.follow !== undefined ? init.follow : input.follow !== undefined ? input.follow : 20; + this.compress = init.compress !== undefined ? init.compress + : input.compress !== undefined ? input.compress + : true; + this.counter = init.counter || input.counter || 0; + this.agent = init.agent || input.agent; + } + + get method() { + return this[INTERNALS$2].method; + } - res = object.toString(10); + get url() { + return format_url(this[INTERNALS$2].parsedURL); + } - // JS stringifier can build scientific format without dots: 5e-100, - // while YAML requres dot: 5.e-100. Fix it with simple hack + get headers() { + return this[INTERNALS$2].headers; + } - return SCIENTIFIC_WITHOUT_DOT.test(res) ? res.replace('e', '.e') : res; -} + get redirect() { + return this[INTERNALS$2].redirect; + } -function isFloat(object) { - return (Object.prototype.toString.call(object) === '[object Number]') && - (object % 1 !== 0 || common.isNegativeZero(object)); -} + get signal() { + return this[INTERNALS$2].signal; + } -module.exports = new Type('tag:yaml.org,2002:float', { - kind: 'scalar', - resolve: resolveYamlFloat, - construct: constructYamlFloat, - predicate: isFloat, - represent: representYamlFloat, - defaultStyle: 'lowercase' -}); + /** + * Clone this request + * + * @return Request + */ + clone() { + return new Request(this); + } + } + Body.mixIn(Request.prototype); -/***/ }), + Object.defineProperty( + Request.prototype, + Symbol.toStringTag, + {value : 'Request', writable : false, enumerable : false, configurable : true}); -/***/ 1615: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + Object.defineProperties(Request.prototype, { + method : {enumerable : true}, + url : {enumerable : true}, + headers : {enumerable : true}, + redirect : {enumerable : true}, + clone : {enumerable : true}, + signal : {enumerable : true} + }); -"use strict"; + /** + * Convert a Request to Node.js http request options. + * + * @param Request A Request instance + * @return Object The options object to be passed to http.request + */ + function getNodeRequestOptions(request) { + const parsedURL = request[INTERNALS$2].parsedURL; + const headers = new Headers(request[INTERNALS$2].headers); + // fetch step 1.3 + if (!headers.has('Accept')) { + headers.set('Accept', '*/*'); + } -var common = __nccwpck_require__(6829); -var Type = __nccwpck_require__(6073); + // Basic fetch + if (!parsedURL.protocol || !parsedURL.hostname) { + throw new TypeError('Only absolute URLs are supported'); + } -function isHexCode(c) { - return ((0x30/* 0 */ <= c) && (c <= 0x39/* 9 */)) || - ((0x41/* A */ <= c) && (c <= 0x46/* F */)) || - ((0x61/* a */ <= c) && (c <= 0x66/* f */)); -} + if (!/^https?:$/.test(parsedURL.protocol)) { + throw new TypeError('Only HTTP(S) protocols are supported'); + } -function isOctCode(c) { - return ((0x30/* 0 */ <= c) && (c <= 0x37/* 7 */)); -} + if (request.signal && request.body instanceof Stream.Readable && !streamDestructionSupported) { + throw new Error('Cancellation of streamed requests with AbortSignal is not supported in node < 8'); + } -function isDecCode(c) { - return ((0x30/* 0 */ <= c) && (c <= 0x39/* 9 */)); -} + // HTTP-network-or-cache fetch steps 2.4-2.7 + let contentLengthValue = null; + if (request.body == null && /^(POST|PUT)$/i.test(request.method)) { + contentLengthValue = '0'; + } + if (request.body != null) { + const totalBytes = getTotalBytes(request); + if (typeof totalBytes === 'number') { + contentLengthValue = String(totalBytes); + } + } + if (contentLengthValue) { + headers.set('Content-Length', contentLengthValue); + } + + // HTTP-network-or-cache fetch step 2.11 + if (!headers.has('User-Agent')) { + headers.set('User-Agent', 'node-fetch/1.0 (+https://github.com/bitinn/node-fetch)'); + } -function resolveYamlInteger(data) { - if (data === null) return false; + // HTTP-network-or-cache fetch step 2.15 + if (request.compress && !headers.has('Accept-Encoding')) { + headers.set('Accept-Encoding', 'gzip,deflate'); + } - var max = data.length, - index = 0, - hasDigits = false, - ch; + let agent = request.agent; + if (typeof agent === 'function') { + agent = agent(parsedURL); + } - if (!max) return false; + if (!headers.has('Connection') && !agent) { + headers.set('Connection', 'close'); + } - ch = data[index]; + // HTTP-network fetch step 4.2 + // chunked encoding is handled by Node.js - // sign - if (ch === '-' || ch === '+') { - ch = data[++index]; - } + return Object.assign( + {}, parsedURL, {method : request.method, headers : exportNodeCompatibleHeaders(headers), agent}); + } - if (ch === '0') { - // 0 - if (index + 1 === max) return true; - ch = data[++index]; + /** + * abort-error.js + * + * AbortError interface for cancelled requests + */ - // base 2, base 8, base 16 + /** + * Create AbortError instance + * + * @param String message Error message for human + * @return AbortError + */ + function AbortError(message) { + Error.call(this, message); - if (ch === 'b') { - // base 2 - index++; + this.type = 'aborted'; + this.message = message; - for (; index < max; index++) { - ch = data[index]; - if (ch === '_') continue; - if (ch !== '0' && ch !== '1') return false; - hasDigits = true; - } - return hasDigits && ch !== '_'; + // hide custom error implementation details from end-users + Error.captureStackTrace(this, this.constructor); } + AbortError.prototype = Object.create(Error.prototype); + AbortError.prototype.constructor = AbortError; + AbortError.prototype.name = 'AbortError'; - if (ch === 'x') { - // base 16 - index++; + const URL$1 = Url.URL || whatwgUrl.URL; - for (; index < max; index++) { - ch = data[index]; - if (ch === '_') continue; - if (!isHexCode(data.charCodeAt(index))) return false; - hasDigits = true; - } - return hasDigits && ch !== '_'; - } + // fix an issue where "PassThrough", "resolve" aren't a named export for node <10 + const PassThrough$1 = Stream.PassThrough; + const isDomainOrSubdomain = function isDomainOrSubdomain(destination, original) { + const orig = new URL$1(original).hostname; + const dest = new URL$1(destination).hostname; - if (ch === 'o') { - // base 8 - index++; + return orig === dest || orig[orig.length - dest.length - 1] === '.' && orig.endsWith(dest); + }; - for (; index < max; index++) { - ch = data[index]; - if (ch === '_') continue; - if (!isOctCode(data.charCodeAt(index))) return false; - hasDigits = true; + /** + * Fetch function + * + * @param Mixed url Absolute url or Request instance + * @param Object opts Fetch options + * @return Promise + */ + function fetch(url, opts) { + // allow custom promise + if (!fetch.Promise) { + throw new Error('native promise missing, set fetch.Promise to your favorite alternative'); } - return hasDigits && ch !== '_'; - } - } - // base 10 (except 0) + Body.Promise = fetch.Promise; - // value should not start with `_`; - if (ch === '_') return false; - - for (; index < max; index++) { - ch = data[index]; - if (ch === '_') continue; - if (!isDecCode(data.charCodeAt(index))) { - return false; - } - hasDigits = true; - } + // wrap http.request into fetch + return new fetch.Promise(function(resolve, reject) { + // build request object + const request = new Request(url, opts); + const options = getNodeRequestOptions(request); - // Should have digits and should not end with `_` - if (!hasDigits || ch === '_') return false; + const send = (options.protocol === 'https:' ? https : http).request; + const signal = request.signal; - return true; -} + let response = null; -function constructYamlInteger(data) { - var value = data, sign = 1, ch; + const abort = function abort() { + let error = new AbortError('The user aborted a request.'); + reject(error); + if (request.body && request.body instanceof Stream.Readable) { + request.body.destroy(error); + } + if (!response || !response.body) + return; + response.body.emit('error', error); + }; - if (value.indexOf('_') !== -1) { - value = value.replace(/_/g, ''); - } + if (signal && signal.aborted) { + abort(); + return; + } - ch = value[0]; + const abortAndFinalize = function abortAndFinalize() { + abort(); + finalize(); + }; - if (ch === '-' || ch === '+') { - if (ch === '-') sign = -1; - value = value.slice(1); - ch = value[0]; - } + // send request + const req = send(options); + let reqTimeout; - if (value === '0') return 0; + if (signal) { + signal.addEventListener('abort', abortAndFinalize); + } - if (ch === '0') { - if (value[1] === 'b') return sign * parseInt(value.slice(2), 2); - if (value[1] === 'x') return sign * parseInt(value.slice(2), 16); - if (value[1] === 'o') return sign * parseInt(value.slice(2), 8); - } + function finalize() { + req.abort(); + if (signal) + signal.removeEventListener('abort', abortAndFinalize); + clearTimeout(reqTimeout); + } - return sign * parseInt(value, 10); -} + if (request.timeout) { + req.once('socket', function(socket) { + reqTimeout = setTimeout(function() { + reject(new FetchError(`network timeout at: ${request.url}`, 'request-timeout')); + finalize(); + }, request.timeout); + }); + } -function isInteger(object) { - return (Object.prototype.toString.call(object)) === '[object Number]' && - (object % 1 === 0 && !common.isNegativeZero(object)); -} + req.on('error', function(err) { + reject(new FetchError(`request to ${request.url} failed, reason: ${err.message}`, 'system', err)); + finalize(); + }); -module.exports = new Type('tag:yaml.org,2002:int', { - kind: 'scalar', - resolve: resolveYamlInteger, - construct: constructYamlInteger, - predicate: isInteger, - represent: { - binary: function (obj) { return obj >= 0 ? '0b' + obj.toString(2) : '-0b' + obj.toString(2).slice(1); }, - octal: function (obj) { return obj >= 0 ? '0o' + obj.toString(8) : '-0o' + obj.toString(8).slice(1); }, - decimal: function (obj) { return obj.toString(10); }, - /* eslint-disable max-len */ - hexadecimal: function (obj) { return obj >= 0 ? '0x' + obj.toString(16).toUpperCase() : '-0x' + obj.toString(16).toUpperCase().slice(1); } - }, - defaultStyle: 'decimal', - styleAliases: { - binary: [ 2, 'bin' ], - octal: [ 8, 'oct' ], - decimal: [ 10, 'dec' ], - hexadecimal: [ 16, 'hex' ] - } -}); + req.on('response', function(res) { + clearTimeout(reqTimeout); + const headers = createHeadersLenient(res.headers); -/***/ }), + // HTTP fetch step 5 + if (fetch.isRedirect(res.statusCode)) { + // HTTP fetch step 5.2 + const location = headers.get('Location'); -/***/ 6150: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + // HTTP fetch step 5.3 + let locationURL = null; + try { + locationURL = location === null ? null : new URL$1(location, request.url).toString(); + } catch (err) { + // error here can only be invalid URL in Location: header + // do not throw when options.redirect == manual + // let the user extract the errorneous redirect URL + if (request.redirect !== 'manual') { + reject(new FetchError( + `uri requested responds with an invalid redirect URL: ${location}`, 'invalid-redirect')); + finalize(); + return; + } + } -"use strict"; + // HTTP fetch step 5.5 + switch (request.redirect) { + case 'error': + reject(new FetchError( + `uri requested responds with a redirect, redirect mode is set to error: ${request.url}`, + 'no-redirect')); + finalize(); + return; + case 'manual': + // node-fetch-specific step: make manual redirect a bit easier to use by setting the Location header + // value to the resolved URL. + if (locationURL !== null) { + // handle corrupted header + try { + headers.set('Location', locationURL); + } catch (err) { + // istanbul ignore next: nodejs server prevent invalid response headers, we can't test this through + // normal request + reject(err); + } + } + break; + case 'follow': + // HTTP-redirect fetch step 2 + if (locationURL === null) { + break; + } + // HTTP-redirect fetch step 5 + if (request.counter >= request.follow) { + reject(new FetchError(`maximum redirect reached at: ${request.url}`, 'max-redirect')); + finalize(); + return; + } -var Type = __nccwpck_require__(6073); + // HTTP-redirect fetch step 6 (counter increment) + // Create a new Request object. + const requestOpts = { + headers : new Headers(request.headers), + follow : request.follow, + counter : request.counter + 1, + agent : request.agent, + compress : request.compress, + method : request.method, + body : request.body, + signal : request.signal, + timeout : request.timeout, + size : request.size + }; -module.exports = new Type('tag:yaml.org,2002:map', { - kind: 'mapping', - construct: function (data) { return data !== null ? data : {}; } -}); + if (!isDomainOrSubdomain(request.url, locationURL)) { + for (const name of ['authorization', 'www-authenticate', 'cookie', 'cookie2']) { + requestOpts.headers.delete(name); + } + } + // HTTP-redirect fetch step 9 + if (res.statusCode !== 303 && request.body && getTotalBytes(request) === null) { + reject(new FetchError( + 'Cannot follow redirect with body being a readable stream', 'unsupported-redirect')); + finalize(); + return; + } -/***/ }), + // HTTP-redirect fetch step 11 + if (res.statusCode === 303 || + (res.statusCode === 301 || res.statusCode === 302) && request.method === 'POST') { + requestOpts.method = 'GET'; + requestOpts.body = undefined; + requestOpts.headers.delete('content-length'); + } -/***/ 6104: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + // HTTP-redirect fetch step 15 + resolve(fetch(new Request(locationURL, requestOpts))); + finalize(); + return; + } + } -"use strict"; + // prepare response + res.once('end', function() { + if (signal) + signal.removeEventListener('abort', abortAndFinalize); + }); + let body = res.pipe(new PassThrough$1()); + + const response_options = { + url : request.url, + status : res.statusCode, + statusText : res.statusMessage, + headers : headers, + size : request.size, + timeout : request.timeout, + counter : request.counter + }; + // HTTP-network fetch step 12.1.1.3 + const codings = headers.get('Content-Encoding'); + + // HTTP-network fetch step 12.1.1.4: handle content codings + + // in following scenarios we ignore compression support + // 1. compression support is disabled + // 2. HEAD request + // 3. no Content-Encoding header + // 4. no content response (204) + // 5. content not modified response (304) + if (!request.compress || request.method === 'HEAD' || codings === null || res.statusCode === 204 || + res.statusCode === 304) { + response = new Response(body, response_options); + resolve(response); + return; + } -var Type = __nccwpck_require__(6073); + // For Node v6+ + // Be less strict when decoding compressed responses, since sometimes + // servers send slightly invalid responses that are still accepted + // by common browsers. + // Always using Z_SYNC_FLUSH is what cURL does. + const zlibOptions = {flush : zlib.Z_SYNC_FLUSH, finishFlush : zlib.Z_SYNC_FLUSH}; + + // for gzip + if (codings == 'gzip' || codings == 'x-gzip') { + body = body.pipe(zlib.createGunzip(zlibOptions)); + response = new Response(body, response_options); + resolve(response); + return; + } -function resolveYamlMerge(data) { - return data === '<<' || data === null; -} + // for deflate + if (codings == 'deflate' || codings == 'x-deflate') { + // handle the infamous raw deflate response from old servers + // a hack for old IIS and Apache servers + const raw = res.pipe(new PassThrough$1()); + raw.once('data', function(chunk) { + // see http://stackoverflow.com/questions/37519828 + if ((chunk[0] & 0x0F) === 0x08) { + body = body.pipe(zlib.createInflate()); + } else { + body = body.pipe(zlib.createInflateRaw()); + } + response = new Response(body, response_options); + resolve(response); + }); + return; + } -module.exports = new Type('tag:yaml.org,2002:merge', { - kind: 'scalar', - resolve: resolveYamlMerge -}); + // for br + if (codings == 'br' && typeof zlib.createBrotliDecompress === 'function') { + body = body.pipe(zlib.createBrotliDecompress()); + response = new Response(body, response_options); + resolve(response); + return; + } + // otherwise, use response as-is + response = new Response(body, response_options); + resolve(response); + }); -/***/ }), + writeToStream(req, request); + }); + } + /** + * Redirect code matching + * + * @param Number code Status code + * @return Boolean + */ + fetch.isRedirect = function(code) { + return code === 301 || code === 302 || code === 303 || code === 307 || code === 308; + }; -/***/ 721: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + // expose Promise + fetch.Promise = global.Promise; -"use strict"; + module.exports = exports = fetch; + Object.defineProperty(exports, "__esModule", ({value : true})); + exports["default"] = exports; + exports.Headers = Headers; + exports.Request = Request; + exports.Response = Response; + exports.FetchError = FetchError; + /***/ }), -var Type = __nccwpck_require__(6073); +/***/ 1223: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { -function resolveYamlNull(data) { - if (data === null) return true; +var wrappy = __nccwpck_require__(2940) +module.exports = wrappy(once) +module.exports.strict = wrappy(onceStrict) - var max = data.length; +once.proto = once(function() { + Object.defineProperty(Function.prototype, 'once', { + value : function() { + return once(this) + }, + configurable : true + }) - return (max === 1 && data === '~') || - (max === 4 && (data === 'null' || data === 'Null' || data === 'NULL')); -} + Object.defineProperty(Function.prototype, 'onceStrict', { + value : function() { + return onceStrict(this) + }, + configurable : true + }) +}) -function constructYamlNull() { - return null; +function once (fn) { + var f = function() { + if (f.called) + return f.value + f.called = true + return f.value = fn.apply(this, arguments) + } f.called = false + return f } -function isNull(object) { - return object === null; +function onceStrict (fn) { + var f = function() { + if (f.called) + throw new Error(f.onceError) + f.called = true + return f.value = fn.apply(this, arguments) + } var name = fn.name || 'Function wrapped with `once`' + f.onceError = name + " shouldn't be called more than once" + f.called = false + return f } -module.exports = new Type('tag:yaml.org,2002:null', { - kind: 'scalar', - resolve: resolveYamlNull, - construct: constructYamlNull, - predicate: isNull, - represent: { - canonical: function () { return '~'; }, - lowercase: function () { return 'null'; }, - uppercase: function () { return 'NULL'; }, - camelcase: function () { return 'Null'; }, - empty: function () { return ''; } - }, - defaultStyle: 'lowercase' -}); - /***/ }), -/***/ 9046: +/***/ 4256: /***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; -"use strict"; + var punycode = __nccwpck_require__(5477); + var mappingTable = __nccwpck_require__(2020); + var PROCESSING_OPTIONS = {TRANSITIONAL : 0, NONTRANSITIONAL : 1}; -var Type = __nccwpck_require__(6073); - -var _hasOwnProperty = Object.prototype.hasOwnProperty; -var _toString = Object.prototype.toString; + function normalize(str) { // fix bug in v8 + return str.split('\u0000') + .map(function(s) { + return s.normalize('NFC'); + }) + .join('\u0000'); + } -function resolveYamlOmap(data) { - if (data === null) return true; + function findStatus(val) { + var start = 0; + var end = mappingTable.length - 1; - var objectKeys = [], index, length, pair, pairKey, pairHasKey, - object = data; + while (start <= end) { + var mid = Math.floor((start + end) / 2); - for (index = 0, length = object.length; index < length; index += 1) { - pair = object[index]; - pairHasKey = false; + var target = mappingTable[mid]; + if (target[0][0] <= val && target[0][1] >= val) { + return target; + } else if (target[0][0] > val) { + end = mid - 1; + } else { + start = mid + 1; + } + } - if (_toString.call(pair) !== '[object Object]') return false; + return null; + } + + var regexAstralSymbols = /[\uD800-\uDBFF][\uDC00-\uDFFF]/g; + + function countSymbols(string) { + return string + // replace every surrogate pair with a BMP symbol + .replace(regexAstralSymbols, '_') + // then get the length + .length; + } + + function mapChars(domain_name, useSTD3, processing_option) { + var hasError = false; + var processed = ""; + + var len = countSymbols(domain_name); + for (var i = 0; i < len; ++i) { + var codePoint = domain_name.codePointAt(i); + var status = findStatus(codePoint); + + switch (status[1]) { + case "disallowed": + hasError = true; + processed += String.fromCodePoint(codePoint); + break; + case "ignored": + break; + case "mapped": + processed += String.fromCodePoint.apply(String, status[2]); + break; + case "deviation": + if (processing_option === PROCESSING_OPTIONS.TRANSITIONAL) { + processed += String.fromCodePoint.apply(String, status[2]); + } else { + processed += String.fromCodePoint(codePoint); + } + break; + case "valid": + processed += String.fromCodePoint(codePoint); + break; + case "disallowed_STD3_mapped": + if (useSTD3) { + hasError = true; + processed += String.fromCodePoint(codePoint); + } else { + processed += String.fromCodePoint.apply(String, status[2]); + } + break; + case "disallowed_STD3_valid": + if (useSTD3) { + hasError = true; + } - for (pairKey in pair) { - if (_hasOwnProperty.call(pair, pairKey)) { - if (!pairHasKey) pairHasKey = true; - else return false; + processed += String.fromCodePoint(codePoint); + break; + } } + + return {string : processed, error : hasError}; } - if (!pairHasKey) return false; + var combiningMarksRegex = + /[\u0300-\u036F\u0483-\u0489\u0591-\u05BD\u05BF\u05C1\u05C2\u05C4\u05C5\u05C7\u0610-\u061A\u064B-\u065F\u0670\u06D6-\u06DC\u06DF-\u06E4\u06E7\u06E8\u06EA-\u06ED\u0711\u0730-\u074A\u07A6-\u07B0\u07EB-\u07F3\u0816-\u0819\u081B-\u0823\u0825-\u0827\u0829-\u082D\u0859-\u085B\u08E4-\u0903\u093A-\u093C\u093E-\u094F\u0951-\u0957\u0962\u0963\u0981-\u0983\u09BC\u09BE-\u09C4\u09C7\u09C8\u09CB-\u09CD\u09D7\u09E2\u09E3\u0A01-\u0A03\u0A3C\u0A3E-\u0A42\u0A47\u0A48\u0A4B-\u0A4D\u0A51\u0A70\u0A71\u0A75\u0A81-\u0A83\u0ABC\u0ABE-\u0AC5\u0AC7-\u0AC9\u0ACB-\u0ACD\u0AE2\u0AE3\u0B01-\u0B03\u0B3C\u0B3E-\u0B44\u0B47\u0B48\u0B4B-\u0B4D\u0B56\u0B57\u0B62\u0B63\u0B82\u0BBE-\u0BC2\u0BC6-\u0BC8\u0BCA-\u0BCD\u0BD7\u0C00-\u0C03\u0C3E-\u0C44\u0C46-\u0C48\u0C4A-\u0C4D\u0C55\u0C56\u0C62\u0C63\u0C81-\u0C83\u0CBC\u0CBE-\u0CC4\u0CC6-\u0CC8\u0CCA-\u0CCD\u0CD5\u0CD6\u0CE2\u0CE3\u0D01-\u0D03\u0D3E-\u0D44\u0D46-\u0D48\u0D4A-\u0D4D\u0D57\u0D62\u0D63\u0D82\u0D83\u0DCA\u0DCF-\u0DD4\u0DD6\u0DD8-\u0DDF\u0DF2\u0DF3\u0E31\u0E34-\u0E3A\u0E47-\u0E4E\u0EB1\u0EB4-\u0EB9\u0EBB\u0EBC\u0EC8-\u0ECD\u0F18\u0F19\u0F35\u0F37\u0F39\u0F3E\u0F3F\u0F71-\u0F84\u0F86\u0F87\u0F8D-\u0F97\u0F99-\u0FBC\u0FC6\u102B-\u103E\u1056-\u1059\u105E-\u1060\u1062-\u1064\u1067-\u106D\u1071-\u1074\u1082-\u108D\u108F\u109A-\u109D\u135D-\u135F\u1712-\u1714\u1732-\u1734\u1752\u1753\u1772\u1773\u17B4-\u17D3\u17DD\u180B-\u180D\u18A9\u1920-\u192B\u1930-\u193B\u19B0-\u19C0\u19C8\u19C9\u1A17-\u1A1B\u1A55-\u1A5E\u1A60-\u1A7C\u1A7F\u1AB0-\u1ABE\u1B00-\u1B04\u1B34-\u1B44\u1B6B-\u1B73\u1B80-\u1B82\u1BA1-\u1BAD\u1BE6-\u1BF3\u1C24-\u1C37\u1CD0-\u1CD2\u1CD4-\u1CE8\u1CED\u1CF2-\u1CF4\u1CF8\u1CF9\u1DC0-\u1DF5\u1DFC-\u1DFF\u20D0-\u20F0\u2CEF-\u2CF1\u2D7F\u2DE0-\u2DFF\u302A-\u302F\u3099\u309A\uA66F-\uA672\uA674-\uA67D\uA69F\uA6F0\uA6F1\uA802\uA806\uA80B\uA823-\uA827\uA880\uA881\uA8B4-\uA8C4\uA8E0-\uA8F1\uA926-\uA92D\uA947-\uA953\uA980-\uA983\uA9B3-\uA9C0\uA9E5\uAA29-\uAA36\uAA43\uAA4C\uAA4D\uAA7B-\uAA7D\uAAB0\uAAB2-\uAAB4\uAAB7\uAAB8\uAABE\uAABF\uAAC1\uAAEB-\uAAEF\uAAF5\uAAF6\uABE3-\uABEA\uABEC\uABED\uFB1E\uFE00-\uFE0F\uFE20-\uFE2D]|\uD800[\uDDFD\uDEE0\uDF76-\uDF7A]|\uD802[\uDE01-\uDE03\uDE05\uDE06\uDE0C-\uDE0F\uDE38-\uDE3A\uDE3F\uDEE5\uDEE6]|\uD804[\uDC00-\uDC02\uDC38-\uDC46\uDC7F-\uDC82\uDCB0-\uDCBA\uDD00-\uDD02\uDD27-\uDD34\uDD73\uDD80-\uDD82\uDDB3-\uDDC0\uDE2C-\uDE37\uDEDF-\uDEEA\uDF01-\uDF03\uDF3C\uDF3E-\uDF44\uDF47\uDF48\uDF4B-\uDF4D\uDF57\uDF62\uDF63\uDF66-\uDF6C\uDF70-\uDF74]|\uD805[\uDCB0-\uDCC3\uDDAF-\uDDB5\uDDB8-\uDDC0\uDE30-\uDE40\uDEAB-\uDEB7]|\uD81A[\uDEF0-\uDEF4\uDF30-\uDF36]|\uD81B[\uDF51-\uDF7E\uDF8F-\uDF92]|\uD82F[\uDC9D\uDC9E]|\uD834[\uDD65-\uDD69\uDD6D-\uDD72\uDD7B-\uDD82\uDD85-\uDD8B\uDDAA-\uDDAD\uDE42-\uDE44]|\uD83A[\uDCD0-\uDCD6]|\uDB40[\uDD00-\uDDEF]/; - if (objectKeys.indexOf(pairKey) === -1) objectKeys.push(pairKey); - else return false; - } + function validateLabel(label, processing_option) { + if (label.substr(0, 4) === "xn--") { + label = punycode.toUnicode(label); + processing_option = PROCESSING_OPTIONS.NONTRANSITIONAL; + } - return true; -} + var error = false; -function constructYamlOmap(data) { - return data !== null ? data : []; -} + if (normalize(label) !== label || (label[3] === "-" && label[4] === "-") || label[0] === "-" || + label[label.length - 1] === "-" || label.indexOf(".") !== -1 || label.search(combiningMarksRegex) === 0) { + error = true; + } -module.exports = new Type('tag:yaml.org,2002:omap', { - kind: 'sequence', - resolve: resolveYamlOmap, - construct: constructYamlOmap -}); + var len = countSymbols(label); + for (var i = 0; i < len; ++i) { + var status = findStatus(label.codePointAt(i)); + if ((processing === PROCESSING_OPTIONS.TRANSITIONAL && status[1] !== "valid") || + (processing === PROCESSING_OPTIONS.NONTRANSITIONAL && status[1] !== "valid" && status[1] !== "deviation")) { + error = true; + break; + } + } + return {label : label, error : error}; + } -/***/ }), + function processing(domain_name, useSTD3, processing_option) { + var result = mapChars(domain_name, useSTD3, processing_option); + result.string = normalize(result.string); -/***/ 6860: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + var labels = result.string.split("."); + for (var i = 0; i < labels.length; ++i) { + try { + var validation = validateLabel(labels[i]); + labels[i] = validation.label; + result.error = result.error || validation.error; + } catch (e) { + result.error = true; + } + } -"use strict"; + return {string : labels.join("."), error : result.error}; + } + module.exports.toASCII = function(domain_name, useSTD3, processing_option, verifyDnsLength) { + var result = processing(domain_name, useSTD3, processing_option); + var labels = result.string.split("."); + labels = labels.map(function(l) { + try { + return punycode.toASCII(l); + } catch (e) { + result.error = true; + return l; + } + }); -var Type = __nccwpck_require__(6073); + if (verifyDnsLength) { + var total = labels.slice(0, labels.length - 1).join(".").length; + if (total.length > 253 || total.length === 0) { + result.error = true; + } -var _toString = Object.prototype.toString; + for (var i = 0; i < labels.length; ++i) { + if (labels.length > 63 || labels.length === 0) { + result.error = true; + break; + } + } + } -function resolveYamlPairs(data) { - if (data === null) return true; + if (result.error) + return null; + return labels.join("."); + }; - var index, length, pair, keys, result, - object = data; + module.exports.toUnicode = function(domain_name, useSTD3) { + var result = processing(domain_name, useSTD3, PROCESSING_OPTIONS.NONTRANSITIONAL); - result = new Array(object.length); + return {domain : result.string, error : result.error}; + }; - for (index = 0, length = object.length; index < length; index += 1) { - pair = object[index]; + module.exports.PROCESSING_OPTIONS = PROCESSING_OPTIONS; - if (_toString.call(pair) !== '[object Object]') return false; + /***/ }), - keys = Object.keys(pair); +/***/ 4294: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + module.exports = __nccwpck_require__(4219); - if (keys.length !== 1) return false; + /***/ }), - result[index] = [ keys[0], pair[keys[0]] ]; - } +/***/ 4219: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; + + var net = __nccwpck_require__(1808); + var tls = __nccwpck_require__(4404); + var http = __nccwpck_require__(3685); + var https = __nccwpck_require__(5687); + var events = __nccwpck_require__(2361); + var assert = __nccwpck_require__(9491); + var util = __nccwpck_require__(3837); + + exports.httpOverHttp = httpOverHttp; + exports.httpsOverHttp = httpsOverHttp; + exports.httpOverHttps = httpOverHttps; + exports.httpsOverHttps = httpsOverHttps; + + function httpOverHttp(options) { + var agent = new TunnelingAgent(options); + agent.request = http.request; + return agent; + } + + function httpsOverHttp(options) { + var agent = new TunnelingAgent(options); + agent.request = http.request; + agent.createSocket = createSecureSocket; + agent.defaultPort = 443; + return agent; + } + + function httpOverHttps(options) { + var agent = new TunnelingAgent(options); + agent.request = https.request; + return agent; + } + + function httpsOverHttps(options) { + var agent = new TunnelingAgent(options); + agent.request = https.request; + agent.createSocket = createSecureSocket; + agent.defaultPort = 443; + return agent; + } + + function TunnelingAgent(options) { + var self = this; + self.options = options || {}; + self.proxyOptions = self.options.proxy || {}; + self.maxSockets = self.options.maxSockets || http.Agent.defaultMaxSockets; + self.requests = []; + self.sockets = []; + + self.on('free', function onFree(socket, host, port, localAddress) { + var options = toOptions(host, port, localAddress); + for (var i = 0, len = self.requests.length; i < len; ++i) { + var pending = self.requests[i]; + if (pending.host === options.host && pending.port === options.port) { + // Detect the request to connect same origin server, + // reuse the connection. + self.requests.splice(i, 1); + pending.request.onSocket(socket); + return; + } + } + socket.destroy(); + self.removeSocket(socket); + }); + } + util.inherits(TunnelingAgent, events.EventEmitter); - return true; -} + TunnelingAgent.prototype.addRequest = function addRequest(req, host, port, localAddress) { + var self = this; + var options = mergeOptions({request : req}, self.options, toOptions(host, port, localAddress)); -function constructYamlPairs(data) { - if (data === null) return []; + if (self.sockets.length >= this.maxSockets) { + // We are over limit so we'll add it to the queue. + self.requests.push(options); + return; + } - var index, length, pair, keys, result, - object = data; + // If we are under maxSockets create a new one. + self.createSocket(options, function(socket) { + socket.on('free', onFree); + socket.on('close', onCloseOrRemove); + socket.on('agentRemove', onCloseOrRemove); + req.onSocket(socket); - result = new Array(object.length); + function onFree() { + self.emit('free', socket, options); + } - for (index = 0, length = object.length; index < length; index += 1) { - pair = object[index]; + function onCloseOrRemove(err) { + self.removeSocket(socket); + socket.removeListener('free', onFree); + socket.removeListener('close', onCloseOrRemove); + socket.removeListener('agentRemove', onCloseOrRemove); + } + }); + }; - keys = Object.keys(pair); + TunnelingAgent.prototype.createSocket = function createSocket(options, cb) { + var self = this; + var placeholder = {}; + self.sockets.push(placeholder); - result[index] = [ keys[0], pair[keys[0]] ]; - } + var connectOptions = mergeOptions({}, self.proxyOptions, { + method : 'CONNECT', + path : options.host + ':' + options.port, + agent : false, + headers : {host : options.host + ':' + options.port} + }); + if (options.localAddress) { + connectOptions.localAddress = options.localAddress; + } + if (connectOptions.proxyAuth) { + connectOptions.headers = connectOptions.headers || {}; + connectOptions.headers['Proxy-Authorization'] = + 'Basic ' + new Buffer(connectOptions.proxyAuth).toString('base64'); + } - return result; -} + debug('making CONNECT request'); + var connectReq = self.request(connectOptions); + connectReq.useChunkedEncodingByDefault = false; // for v0.6 + connectReq.once('response', onResponse); // for v0.6 + connectReq.once('upgrade', onUpgrade); // for v0.6 + connectReq.once('connect', onConnect); // for v0.7 or later + connectReq.once('error', onError); + connectReq.end(); + + function onResponse(res) { + // Very hacky. This is necessary to avoid http-parser leaks. + res.upgrade = true; + } -module.exports = new Type('tag:yaml.org,2002:pairs', { - kind: 'sequence', - resolve: resolveYamlPairs, - construct: constructYamlPairs -}); + function onUpgrade(res, socket, head) { + // Hacky. + process.nextTick(function() { + onConnect(res, socket, head); + }); + } + function onConnect(res, socket, head) { + connectReq.removeAllListeners(); + socket.removeAllListeners(); + + if (res.statusCode !== 200) { + debug('tunneling socket could not be established, statusCode=%d', res.statusCode); + socket.destroy(); + var error = new Error( + 'tunneling socket could not be established, ' + + 'statusCode=' + res.statusCode); + error.code = 'ECONNRESET'; + options.request.emit('error', error); + self.removeSocket(placeholder); + return; + } + if (head.length > 0) { + debug('got illegal response body from proxy'); + socket.destroy(); + var error = new Error('got illegal response body from proxy'); + error.code = 'ECONNRESET'; + options.request.emit('error', error); + self.removeSocket(placeholder); + return; + } + debug('tunneling connection has established'); + self.sockets[self.sockets.indexOf(placeholder)] = socket; + return cb(socket); + } -/***/ }), + function onError(cause) { + connectReq.removeAllListeners(); -/***/ 7283: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + debug('tunneling socket could not be established, cause=%s\n', cause.message, cause.stack); + var error = new Error( + 'tunneling socket could not be established, ' + + 'cause=' + cause.message); + error.code = 'ECONNRESET'; + options.request.emit('error', error); + self.removeSocket(placeholder); + } + }; -"use strict"; + TunnelingAgent.prototype.removeSocket = function removeSocket(socket) { + var pos = this.sockets.indexOf(socket) + if (pos === -1) { + return; + } + this.sockets.splice(pos, 1); + + var pending = this.requests.shift(); + if (pending) { + // If we have pending requests and a socket gets closed a new one + // needs to be created to take over in the pool for the one that closed. + this.createSocket(pending, function(socket) { + pending.request.onSocket(socket); + }); + } + }; + function createSecureSocket(options, cb) { + var self = this; + TunnelingAgent.prototype.createSocket.call(self, options, function(socket) { + var hostHeader = options.request.getHeader('host'); + var tlsOptions = mergeOptions( + {}, + self.options, + {socket : socket, servername : hostHeader ? hostHeader.replace(/:.*$/, '') : options.host}); + + // 0 is dummy port for v0.6 + var secureSocket = tls.connect(0, tlsOptions); + self.sockets[self.sockets.indexOf(socket)] = secureSocket; + cb(secureSocket); + }); + } -var Type = __nccwpck_require__(6073); + function toOptions(host, port, localAddress) { + if (typeof host === 'string') { // since v0.10 + return {host : host, port : port, localAddress : localAddress}; + } + return host; // for v0.11 or later + } + + function mergeOptions(target) { + for (var i = 1, len = arguments.length; i < len; ++i) { + var overrides = arguments[i]; + if (typeof overrides === 'object') { + var keys = Object.keys(overrides); + for (var j = 0, keyLen = keys.length; j < keyLen; ++j) { + var k = keys[j]; + if (overrides[k] !== undefined) { + target[k] = overrides[k]; + } + } + } + } + return target; + } -module.exports = new Type('tag:yaml.org,2002:seq', { - kind: 'sequence', - construct: function (data) { return data !== null ? data : []; } -}); + var debug; + if (process.env.NODE_DEBUG && /\btunnel\b/.test(process.env.NODE_DEBUG)) { + debug = function() { + var args = Array.prototype.slice.call(arguments); + if (typeof args[0] === 'string') { + args[0] = 'TUNNEL: ' + args[0]; + } else { + args.unshift('TUNNEL:'); + } + console.error.apply(console, args); + } + } else { + debug = function() {}; + } + exports.debug = debug; // for test + /***/ }), -/***/ }), +/***/ 5030: +/***/ ((__unused_webpack_module, exports) => { + "use strict"; -/***/ 9548: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + Object.defineProperty(exports, "__esModule", ({value : true})); + + function getUserAgent() { + if (typeof navigator === "object" && "userAgent" in navigator) { + return navigator.userAgent; + } -"use strict"; + if (typeof process === "object" && "version" in process) { + return `Node.js/${process.version.substr(1)} (${process.platform}; ${process.arch})`; + } + return ""; + } -var Type = __nccwpck_require__(6073); + exports.getUserAgent = getUserAgent; + //# sourceMappingURL=index.js.map -var _hasOwnProperty = Object.prototype.hasOwnProperty; + /***/ }), -function resolveYamlSet(data) { - if (data === null) return true; +/***/ 4886: +/***/ ((module) => { + "use strict"; - var key, object = data; + var conversions = {}; + module.exports = conversions; - for (key in object) { - if (_hasOwnProperty.call(object, key)) { - if (object[key] !== null) return false; + function sign(x) { + return x < 0 ? -1 : 1; } - } - - return true; -} -function constructYamlSet(data) { - return data !== null ? data : {}; -} + function evenRound(x) { + // Round x to the nearest integer, choosing the even integer if it lies halfway between two. + if ((x % 1) === 0.5 && (x & 1) === 0) { // [even number].5; round down (i.e. floor) + return Math.floor(x); + } else { + return Math.round(x); + } + } -module.exports = new Type('tag:yaml.org,2002:set', { - kind: 'mapping', - resolve: resolveYamlSet, - construct: constructYamlSet -}); + function createNumberConversion(bitLength, typeOpts) { + if (!typeOpts.unsigned) { + --bitLength; + } + const lowerBound = typeOpts.unsigned ? 0 : -Math.pow(2, bitLength); + const upperBound = Math.pow(2, bitLength) - 1; + const moduloVal = typeOpts.moduloBitLength ? Math.pow(2, typeOpts.moduloBitLength) : Math.pow(2, bitLength); + const moduloBound = + typeOpts.moduloBitLength ? Math.pow(2, typeOpts.moduloBitLength - 1) : Math.pow(2, bitLength - 1); -/***/ }), + return function(V, opts) { + if (!opts) + opts = {}; -/***/ 3619: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + let x = +V; -"use strict"; + if (opts.enforceRange) { + if (!Number.isFinite(x)) { + throw new TypeError("Argument is not a finite number"); + } + x = sign(x) * Math.floor(Math.abs(x)); + if (x < lowerBound || x > upperBound) { + throw new TypeError("Argument is not in byte range"); + } -var Type = __nccwpck_require__(6073); + return x; + } -module.exports = new Type('tag:yaml.org,2002:str', { - kind: 'scalar', - construct: function (data) { return data !== null ? data : ''; } -}); + if (!isNaN(x) && opts.clamp) { + x = evenRound(x); + if (x < lowerBound) + x = lowerBound; + if (x > upperBound) + x = upperBound; + return x; + } -/***/ }), + if (!Number.isFinite(x) || x === 0) { + return 0; + } -/***/ 9212: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + x = sign(x) * Math.floor(Math.abs(x)); + x = x % moduloVal; -"use strict"; - - -var Type = __nccwpck_require__(6073); - -var YAML_DATE_REGEXP = new RegExp( - '^([0-9][0-9][0-9][0-9])' + // [1] year - '-([0-9][0-9])' + // [2] month - '-([0-9][0-9])$'); // [3] day - -var YAML_TIMESTAMP_REGEXP = new RegExp( - '^([0-9][0-9][0-9][0-9])' + // [1] year - '-([0-9][0-9]?)' + // [2] month - '-([0-9][0-9]?)' + // [3] day - '(?:[Tt]|[ \\t]+)' + // ... - '([0-9][0-9]?)' + // [4] hour - ':([0-9][0-9])' + // [5] minute - ':([0-9][0-9])' + // [6] second - '(?:\\.([0-9]*))?' + // [7] fraction - '(?:[ \\t]*(Z|([-+])([0-9][0-9]?)' + // [8] tz [9] tz_sign [10] tz_hour - '(?::([0-9][0-9]))?))?$'); // [11] tz_minute - -function resolveYamlTimestamp(data) { - if (data === null) return false; - if (YAML_DATE_REGEXP.exec(data) !== null) return true; - if (YAML_TIMESTAMP_REGEXP.exec(data) !== null) return true; - return false; -} + if (!typeOpts.unsigned && x >= moduloBound) { + return x - moduloVal; + } else if (typeOpts.unsigned) { + if (x < 0) { + x += moduloVal; + } else if (x === -0) { // don't return negative zero + return 0; + } + } -function constructYamlTimestamp(data) { - var match, year, month, day, hour, minute, second, fraction = 0, - delta = null, tz_hour, tz_minute, date; + return x; + } + } - match = YAML_DATE_REGEXP.exec(data); - if (match === null) match = YAML_TIMESTAMP_REGEXP.exec(data); + conversions["void"] = function() { + return undefined; + }; - if (match === null) throw new Error('Date resolve error'); + conversions["boolean"] = function(val) { + return !!val; + }; - // match: [1] year [2] month [3] day + conversions["byte"] = createNumberConversion(8, {unsigned : false}); + conversions["octet"] = createNumberConversion(8, {unsigned : true}); - year = +(match[1]); - month = +(match[2]) - 1; // JS month starts with 0 - day = +(match[3]); + conversions["short"] = createNumberConversion(16, {unsigned : false}); + conversions["unsigned short"] = createNumberConversion(16, {unsigned : true}); - if (!match[4]) { // no hour - return new Date(Date.UTC(year, month, day)); - } + conversions["long"] = createNumberConversion(32, {unsigned : false}); + conversions["unsigned long"] = createNumberConversion(32, {unsigned : true}); - // match: [4] hour [5] minute [6] second [7] fraction + conversions["long long"] = createNumberConversion(32, {unsigned : false, moduloBitLength : 64}); + conversions["unsigned long long"] = createNumberConversion(32, {unsigned : true, moduloBitLength : 64}); - hour = +(match[4]); - minute = +(match[5]); - second = +(match[6]); + conversions["double"] = function(V) { + const x = +V; - if (match[7]) { - fraction = match[7].slice(0, 3); - while (fraction.length < 3) { // milli-seconds - fraction += '0'; - } - fraction = +fraction; - } + if (!Number.isFinite(x)) { + throw new TypeError("Argument is not a finite floating-point value"); + } - // match: [8] tz [9] tz_sign [10] tz_hour [11] tz_minute + return x; + }; - if (match[9]) { - tz_hour = +(match[10]); - tz_minute = +(match[11] || 0); - delta = (tz_hour * 60 + tz_minute) * 60000; // delta in mili-seconds - if (match[9] === '-') delta = -delta; - } + conversions["unrestricted double"] = function(V) { + const x = +V; - date = new Date(Date.UTC(year, month, day, hour, minute, second, fraction)); + if (isNaN(x)) { + throw new TypeError("Argument is NaN"); + } - if (delta) date.setTime(date.getTime() - delta); + return x; + }; - return date; -} + // not quite valid, but good enough for JS + conversions["float"] = conversions["double"]; + conversions["unrestricted float"] = conversions["unrestricted double"]; -function representYamlTimestamp(object /*, style*/) { - return object.toISOString(); -} + conversions["DOMString"] = function(V, opts) { + if (!opts) + opts = {}; -module.exports = new Type('tag:yaml.org,2002:timestamp', { - kind: 'scalar', - resolve: resolveYamlTimestamp, - construct: constructYamlTimestamp, - instanceOf: Date, - represent: representYamlTimestamp -}); + if (opts.treatNullAsEmptyString && V === null) { + return ""; + } + return String(V); + }; -/***/ }), + conversions["ByteString"] = function(V, opts) { + const x = String(V); + let c = undefined; + for (let i = 0; (c = x.codePointAt(i)) !== undefined; ++i) { + if (c > 255) { + throw new TypeError("Argument is not a valid bytestring"); + } + } -/***/ 467: -/***/ ((module, exports, __nccwpck_require__) => { + return x; + }; -"use strict"; - - -Object.defineProperty(exports, "__esModule", ({ value: true })); - -function _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; } - -var Stream = _interopDefault(__nccwpck_require__(2781)); -var http = _interopDefault(__nccwpck_require__(3685)); -var Url = _interopDefault(__nccwpck_require__(7310)); -var whatwgUrl = _interopDefault(__nccwpck_require__(8665)); -var https = _interopDefault(__nccwpck_require__(5687)); -var zlib = _interopDefault(__nccwpck_require__(9796)); - -// Based on https://github.com/tmpvar/jsdom/blob/aa85b2abf07766ff7bf5c1f6daafb3726f2f2db5/lib/jsdom/living/blob.js - -// fix for "Readable" isn't a named export issue -const Readable = Stream.Readable; - -const BUFFER = Symbol('buffer'); -const TYPE = Symbol('type'); - -class Blob { - constructor() { - this[TYPE] = ''; - - const blobParts = arguments[0]; - const options = arguments[1]; - - const buffers = []; - let size = 0; - - if (blobParts) { - const a = blobParts; - const length = Number(a.length); - for (let i = 0; i < length; i++) { - const element = a[i]; - let buffer; - if (element instanceof Buffer) { - buffer = element; - } else if (ArrayBuffer.isView(element)) { - buffer = Buffer.from(element.buffer, element.byteOffset, element.byteLength); - } else if (element instanceof ArrayBuffer) { - buffer = Buffer.from(element); - } else if (element instanceof Blob) { - buffer = element[BUFFER]; - } else { - buffer = Buffer.from(typeof element === 'string' ? element : String(element)); - } - size += buffer.length; - buffers.push(buffer); - } - } - - this[BUFFER] = Buffer.concat(buffers); - - let type = options && options.type !== undefined && String(options.type).toLowerCase(); - if (type && !/[^\u0020-\u007E]/.test(type)) { - this[TYPE] = type; - } - } - get size() { - return this[BUFFER].length; - } - get type() { - return this[TYPE]; - } - text() { - return Promise.resolve(this[BUFFER].toString()); - } - arrayBuffer() { - const buf = this[BUFFER]; - const ab = buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength); - return Promise.resolve(ab); - } - stream() { - const readable = new Readable(); - readable._read = function () {}; - readable.push(this[BUFFER]); - readable.push(null); - return readable; - } - toString() { - return '[object Blob]'; - } - slice() { - const size = this.size; - - const start = arguments[0]; - const end = arguments[1]; - let relativeStart, relativeEnd; - if (start === undefined) { - relativeStart = 0; - } else if (start < 0) { - relativeStart = Math.max(size + start, 0); - } else { - relativeStart = Math.min(start, size); - } - if (end === undefined) { - relativeEnd = size; - } else if (end < 0) { - relativeEnd = Math.max(size + end, 0); - } else { - relativeEnd = Math.min(end, size); - } - const span = Math.max(relativeEnd - relativeStart, 0); - - const buffer = this[BUFFER]; - const slicedBuffer = buffer.slice(relativeStart, relativeStart + span); - const blob = new Blob([], { type: arguments[2] }); - blob[BUFFER] = slicedBuffer; - return blob; - } -} + conversions["USVString"] = function(V) { + const S = String(V); + const n = S.length; + const U = []; + for (let i = 0; i < n; ++i) { + const c = S.charCodeAt(i); + if (c < 0xD800 || c > 0xDFFF) { + U.push(String.fromCodePoint(c)); + } else if (0xDC00 <= c && c <= 0xDFFF) { + U.push(String.fromCodePoint(0xFFFD)); + } else { + if (i === n - 1) { + U.push(String.fromCodePoint(0xFFFD)); + } else { + const d = S.charCodeAt(i + 1); + if (0xDC00 <= d && d <= 0xDFFF) { + const a = c & 0x3FF; + const b = d & 0x3FF; + U.push(String.fromCodePoint((2 << 15) + (2 << 9) * a + b)); + ++i; + } else { + U.push(String.fromCodePoint(0xFFFD)); + } + } + } + } -Object.defineProperties(Blob.prototype, { - size: { enumerable: true }, - type: { enumerable: true }, - slice: { enumerable: true } -}); + return U.join(''); + }; -Object.defineProperty(Blob.prototype, Symbol.toStringTag, { - value: 'Blob', - writable: false, - enumerable: false, - configurable: true -}); + conversions["Date"] = function(V, opts) { + if (!(V instanceof Date)) { + throw new TypeError("Argument is not a Date object"); + } + if (isNaN(V)) { + return undefined; + } -/** - * fetch-error.js - * - * FetchError interface for operational errors - */ - -/** - * Create FetchError instance - * - * @param String message Error message for human - * @param String type Error type for machine - * @param String systemError For Node.js system error - * @return FetchError - */ -function FetchError(message, type, systemError) { - Error.call(this, message); - - this.message = message; - this.type = type; - - // when err.type is `system`, err.code contains system error code - if (systemError) { - this.code = this.errno = systemError.code; - } + return V; + }; - // hide custom error implementation details from end-users - Error.captureStackTrace(this, this.constructor); -} + conversions["RegExp"] = function(V, opts) { + if (!(V instanceof RegExp)) { + V = new RegExp(V); + } -FetchError.prototype = Object.create(Error.prototype); -FetchError.prototype.constructor = FetchError; -FetchError.prototype.name = 'FetchError'; - -let convert; -try { - convert = (__nccwpck_require__(2877).convert); -} catch (e) {} - -const INTERNALS = Symbol('Body internals'); - -// fix an issue where "PassThrough" isn't a named export for node <10 -const PassThrough = Stream.PassThrough; - -/** - * Body mixin - * - * Ref: https://fetch.spec.whatwg.org/#body - * - * @param Stream body Readable stream - * @param Object opts Response options - * @return Void - */ -function Body(body) { - var _this = this; - - var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}, - _ref$size = _ref.size; - - let size = _ref$size === undefined ? 0 : _ref$size; - var _ref$timeout = _ref.timeout; - let timeout = _ref$timeout === undefined ? 0 : _ref$timeout; - - if (body == null) { - // body is undefined or null - body = null; - } else if (isURLSearchParams(body)) { - // body is a URLSearchParams - body = Buffer.from(body.toString()); - } else if (isBlob(body)) ; else if (Buffer.isBuffer(body)) ; else if (Object.prototype.toString.call(body) === '[object ArrayBuffer]') { - // body is ArrayBuffer - body = Buffer.from(body); - } else if (ArrayBuffer.isView(body)) { - // body is ArrayBufferView - body = Buffer.from(body.buffer, body.byteOffset, body.byteLength); - } else if (body instanceof Stream) ; else { - // none of the above - // coerce to string then buffer - body = Buffer.from(String(body)); - } - this[INTERNALS] = { - body, - disturbed: false, - error: null - }; - this.size = size; - this.timeout = timeout; - - if (body instanceof Stream) { - body.on('error', function (err) { - const error = err.name === 'AbortError' ? err : new FetchError(`Invalid response body while trying to fetch ${_this.url}: ${err.message}`, 'system', err); - _this[INTERNALS].error = error; - }); - } -} + return V; + }; -Body.prototype = { - get body() { - return this[INTERNALS].body; - }, - - get bodyUsed() { - return this[INTERNALS].disturbed; - }, - - /** - * Decode response as ArrayBuffer - * - * @return Promise - */ - arrayBuffer() { - return consumeBody.call(this).then(function (buf) { - return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength); - }); - }, - - /** - * Return raw response as Blob - * - * @return Promise - */ - blob() { - let ct = this.headers && this.headers.get('content-type') || ''; - return consumeBody.call(this).then(function (buf) { - return Object.assign( - // Prevent copying - new Blob([], { - type: ct.toLowerCase() - }), { - [BUFFER]: buf - }); - }); - }, - - /** - * Decode response as json - * - * @return Promise - */ - json() { - var _this2 = this; - - return consumeBody.call(this).then(function (buffer) { - try { - return JSON.parse(buffer.toString()); - } catch (err) { - return Body.Promise.reject(new FetchError(`invalid json response body at ${_this2.url} reason: ${err.message}`, 'invalid-json')); - } - }); - }, - - /** - * Decode response as text - * - * @return Promise - */ - text() { - return consumeBody.call(this).then(function (buffer) { - return buffer.toString(); - }); - }, - - /** - * Decode response as buffer (non-spec api) - * - * @return Promise - */ - buffer() { - return consumeBody.call(this); - }, - - /** - * Decode response as text, while automatically detecting the encoding and - * trying to decode to UTF-8 (non-spec api) - * - * @return Promise - */ - textConverted() { - var _this3 = this; - - return consumeBody.call(this).then(function (buffer) { - return convertBody(buffer, _this3.headers); - }); - } -}; + /***/ }), -// In browsers, all properties are enumerable. -Object.defineProperties(Body.prototype, { - body: { enumerable: true }, - bodyUsed: { enumerable: true }, - arrayBuffer: { enumerable: true }, - blob: { enumerable: true }, - json: { enumerable: true }, - text: { enumerable: true } -}); +/***/ 7537: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; -Body.mixIn = function (proto) { - for (const name of Object.getOwnPropertyNames(Body.prototype)) { - // istanbul ignore else: future proof - if (!(name in proto)) { - const desc = Object.getOwnPropertyDescriptor(Body.prototype, name); - Object.defineProperty(proto, name, desc); - } - } -}; + const usm = __nccwpck_require__(2158); -/** - * Consume and convert an entire Body to a Buffer. - * - * Ref: https://fetch.spec.whatwg.org/#concept-body-consume-body - * - * @return Promise - */ -function consumeBody() { - var _this4 = this; - - if (this[INTERNALS].disturbed) { - return Body.Promise.reject(new TypeError(`body used already for: ${this.url}`)); - } - - this[INTERNALS].disturbed = true; - - if (this[INTERNALS].error) { - return Body.Promise.reject(this[INTERNALS].error); - } - - let body = this.body; - - // body is null - if (body === null) { - return Body.Promise.resolve(Buffer.alloc(0)); - } - - // body is blob - if (isBlob(body)) { - body = body.stream(); - } - - // body is buffer - if (Buffer.isBuffer(body)) { - return Body.Promise.resolve(body); - } - - // istanbul ignore if: should never happen - if (!(body instanceof Stream)) { - return Body.Promise.resolve(Buffer.alloc(0)); - } - - // body is stream - // get ready to actually consume the body - let accum = []; - let accumBytes = 0; - let abort = false; - - return new Body.Promise(function (resolve, reject) { - let resTimeout; - - // allow timeout on slow response body - if (_this4.timeout) { - resTimeout = setTimeout(function () { - abort = true; - reject(new FetchError(`Response timeout while trying to fetch ${_this4.url} (over ${_this4.timeout}ms)`, 'body-timeout')); - }, _this4.timeout); - } - - // handle stream errors - body.on('error', function (err) { - if (err.name === 'AbortError') { - // if the request was aborted, reject with this Error - abort = true; - reject(err); - } else { - // other errors, such as incorrect content-encoding - reject(new FetchError(`Invalid response body while trying to fetch ${_this4.url}: ${err.message}`, 'system', err)); - } - }); - - body.on('data', function (chunk) { - if (abort || chunk === null) { - return; - } - - if (_this4.size && accumBytes + chunk.length > _this4.size) { - abort = true; - reject(new FetchError(`content size at ${_this4.url} over limit: ${_this4.size}`, 'max-size')); - return; - } - - accumBytes += chunk.length; - accum.push(chunk); - }); - - body.on('end', function () { - if (abort) { - return; - } - - clearTimeout(resTimeout); - - try { - resolve(Buffer.concat(accum, accumBytes)); - } catch (err) { - // handle streams that have accumulated too much data (issue #414) - reject(new FetchError(`Could not create Buffer from response body for ${_this4.url}: ${err.message}`, 'system', err)); - } - }); - }); -} + exports.implementation = class URLImpl { + constructor(constructorArgs) { + const url = constructorArgs[0]; + const base = constructorArgs[1]; -/** - * Detect buffer encoding and convert to target encoding - * ref: http://www.w3.org/TR/2011/WD-html5-20110113/parsing.html#determining-the-character-encoding - * - * @param Buffer buffer Incoming buffer - * @param String encoding Target encoding - * @return String - */ -function convertBody(buffer, headers) { - if (typeof convert !== 'function') { - throw new Error('The package `encoding` must be installed to use the textConverted() function'); - } - - const ct = headers.get('content-type'); - let charset = 'utf-8'; - let res, str; - - // header - if (ct) { - res = /charset=([^;]*)/i.exec(ct); - } - - // no charset in content type, peek at response body for at most 1024 bytes - str = buffer.slice(0, 1024).toString(); - - // html5 - if (!res && str) { - res = / 0 && arguments[0] !== undefined ? arguments[0] : undefined; - - this[MAP] = Object.create(null); - - if (init instanceof Headers) { - const rawHeaders = init.raw(); - const headerNames = Object.keys(rawHeaders); - - for (const headerName of headerNames) { - for (const value of rawHeaders[headerName]) { - this.append(headerName, value); - } - } - - return; - } - - // We don't worry about converting prop to ByteString here as append() - // will handle it. - if (init == null) ; else if (typeof init === 'object') { - const method = init[Symbol.iterator]; - if (method != null) { - if (typeof method !== 'function') { - throw new TypeError('Header pairs must be iterable'); - } - - // sequence> - // Note: per spec we have to first exhaust the lists then process them - const pairs = []; - for (const pair of init) { - if (typeof pair !== 'object' || typeof pair[Symbol.iterator] !== 'function') { - throw new TypeError('Each header pair must be iterable'); - } - pairs.push(Array.from(pair)); - } - - for (const pair of pairs) { - if (pair.length !== 2) { - throw new TypeError('Each header pair must be a name/value tuple'); - } - this.append(pair[0], pair[1]); - } - } else { - // record - for (const key of Object.keys(init)) { - const value = init[key]; - this.append(key, value); - } - } - } else { - throw new TypeError('Provided initializer must be an object'); - } - } - - /** - * Return combined header value given name - * - * @param String name Header name - * @return Mixed - */ - get(name) { - name = `${name}`; - validateName(name); - const key = find(this[MAP], name); - if (key === undefined) { - return null; - } - - return this[MAP][key].join(', '); - } - - /** - * Iterate over all headers - * - * @param Function callback Executed for each item with parameters (value, name, thisArg) - * @param Boolean thisArg `this` context for callback function - * @return Void - */ - forEach(callback) { - let thisArg = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : undefined; - - let pairs = getHeaders(this); - let i = 0; - while (i < pairs.length) { - var _pairs$i = pairs[i]; - const name = _pairs$i[0], - value = _pairs$i[1]; - - callback.call(thisArg, value, name, this); - pairs = getHeaders(this); - i++; - } - } - - /** - * Overwrite header values given name - * - * @param String name Header name - * @param String value Header value - * @return Void - */ - set(name, value) { - name = `${name}`; - value = `${value}`; - validateName(name); - validateValue(value); - const key = find(this[MAP], name); - this[MAP][key !== undefined ? key : name] = [value]; - } - - /** - * Append a value onto existing header - * - * @param String name Header name - * @param String value Header value - * @return Void - */ - append(name, value) { - name = `${name}`; - value = `${value}`; - validateName(name); - validateValue(value); - const key = find(this[MAP], name); - if (key !== undefined) { - this[MAP][key].push(value); - } else { - this[MAP][name] = [value]; - } - } - - /** - * Check for header name existence - * - * @param String name Header name - * @return Boolean - */ - has(name) { - name = `${name}`; - validateName(name); - return find(this[MAP], name) !== undefined; - } - - /** - * Delete all header values given name - * - * @param String name Header name - * @return Void - */ - delete(name) { - name = `${name}`; - validateName(name); - const key = find(this[MAP], name); - if (key !== undefined) { - delete this[MAP][key]; - } - } - - /** - * Return raw headers (non-spec api) - * - * @return Object - */ - raw() { - return this[MAP]; - } - - /** - * Get an iterator on keys. - * - * @return Iterator - */ - keys() { - return createHeadersIterator(this, 'key'); - } - - /** - * Get an iterator on values. - * - * @return Iterator - */ - values() { - return createHeadersIterator(this, 'value'); - } - - /** - * Get an iterator on entries. - * - * This is the default iterator of the Headers object. - * - * @return Iterator - */ - [Symbol.iterator]() { - return createHeadersIterator(this, 'key+value'); - } -} -Headers.prototype.entries = Headers.prototype[Symbol.iterator]; + get password() { + return this._url.password; + } -Object.defineProperty(Headers.prototype, Symbol.toStringTag, { - value: 'Headers', - writable: false, - enumerable: false, - configurable: true -}); + set password(v) { + if (usm.cannotHaveAUsernamePasswordPort(this._url)) { + return; + } -Object.defineProperties(Headers.prototype, { - get: { enumerable: true }, - forEach: { enumerable: true }, - set: { enumerable: true }, - append: { enumerable: true }, - has: { enumerable: true }, - delete: { enumerable: true }, - keys: { enumerable: true }, - values: { enumerable: true }, - entries: { enumerable: true } -}); + usm.setThePassword(this._url, v); + } -function getHeaders(headers) { - let kind = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'key+value'; + get host() { + const url = this._url; - const keys = Object.keys(headers[MAP]).sort(); - return keys.map(kind === 'key' ? function (k) { - return k.toLowerCase(); - } : kind === 'value' ? function (k) { - return headers[MAP][k].join(', '); - } : function (k) { - return [k.toLowerCase(), headers[MAP][k].join(', ')]; - }); -} + if (url.host === null) { + return ""; + } -const INTERNAL = Symbol('internal'); + if (url.port === null) { + return usm.serializeHost(url.host); + } -function createHeadersIterator(target, kind) { - const iterator = Object.create(HeadersIteratorPrototype); - iterator[INTERNAL] = { - target, - kind, - index: 0 - }; - return iterator; -} + return usm.serializeHost(url.host) + ":" + usm.serializeInteger(url.port); + } -const HeadersIteratorPrototype = Object.setPrototypeOf({ - next() { - // istanbul ignore if - if (!this || Object.getPrototypeOf(this) !== HeadersIteratorPrototype) { - throw new TypeError('Value of `this` is not a HeadersIterator'); - } - - var _INTERNAL = this[INTERNAL]; - const target = _INTERNAL.target, - kind = _INTERNAL.kind, - index = _INTERNAL.index; - - const values = getHeaders(target, kind); - const len = values.length; - if (index >= len) { - return { - value: undefined, - done: true - }; - } - - this[INTERNAL].index = index + 1; - - return { - value: values[index], - done: false - }; - } -}, Object.getPrototypeOf(Object.getPrototypeOf([][Symbol.iterator]()))); - -Object.defineProperty(HeadersIteratorPrototype, Symbol.toStringTag, { - value: 'HeadersIterator', - writable: false, - enumerable: false, - configurable: true -}); + set host(v) { + if (this._url.cannotBeABaseURL) { + return; + } -/** - * Export the Headers object in a form that Node.js can consume. - * - * @param Headers headers - * @return Object - */ -function exportNodeCompatibleHeaders(headers) { - const obj = Object.assign({ __proto__: null }, headers[MAP]); - - // http.request() only supports string as Host header. This hack makes - // specifying custom Host header possible. - const hostHeaderKey = find(headers[MAP], 'Host'); - if (hostHeaderKey !== undefined) { - obj[hostHeaderKey] = obj[hostHeaderKey][0]; - } - - return obj; -} + usm.basicURLParse(v, {url : this._url, stateOverride : "host"}); + } -/** - * Create a Headers object from an object of headers, ignoring those that do - * not conform to HTTP grammar productions. - * - * @param Object obj Object of headers - * @return Headers - */ -function createHeadersLenient(obj) { - const headers = new Headers(); - for (const name of Object.keys(obj)) { - if (invalidTokenRegex.test(name)) { - continue; - } - if (Array.isArray(obj[name])) { - for (const val of obj[name]) { - if (invalidHeaderCharRegex.test(val)) { - continue; - } - if (headers[MAP][name] === undefined) { - headers[MAP][name] = [val]; - } else { - headers[MAP][name].push(val); - } - } - } else if (!invalidHeaderCharRegex.test(obj[name])) { - headers[MAP][name] = [obj[name]]; - } - } - return headers; -} + get hostname() { + if (this._url.host === null) { + return ""; + } -const INTERNALS$1 = Symbol('Response internals'); - -// fix an issue where "STATUS_CODES" aren't a named export for node <10 -const STATUS_CODES = http.STATUS_CODES; - -/** - * Response class - * - * @param Stream body Readable stream - * @param Object opts Response options - * @return Void - */ -class Response { - constructor() { - let body = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; - let opts = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}; - - Body.call(this, body, opts); - - const status = opts.status || 200; - const headers = new Headers(opts.headers); - - if (body != null && !headers.has('Content-Type')) { - const contentType = extractContentType(body); - if (contentType) { - headers.append('Content-Type', contentType); - } - } - - this[INTERNALS$1] = { - url: opts.url, - status, - statusText: opts.statusText || STATUS_CODES[status], - headers, - counter: opts.counter - }; - } - - get url() { - return this[INTERNALS$1].url || ''; - } - - get status() { - return this[INTERNALS$1].status; - } - - /** - * Convenience property representing if the request ended normally - */ - get ok() { - return this[INTERNALS$1].status >= 200 && this[INTERNALS$1].status < 300; - } - - get redirected() { - return this[INTERNALS$1].counter > 0; - } - - get statusText() { - return this[INTERNALS$1].statusText; - } - - get headers() { - return this[INTERNALS$1].headers; - } - - /** - * Clone this response - * - * @return Response - */ - clone() { - return new Response(clone(this), { - url: this.url, - status: this.status, - statusText: this.statusText, - headers: this.headers, - ok: this.ok, - redirected: this.redirected - }); - } -} + return usm.serializeHost(this._url.host); + } -Body.mixIn(Response.prototype); + set hostname(v) { + if (this._url.cannotBeABaseURL) { + return; + } -Object.defineProperties(Response.prototype, { - url: { enumerable: true }, - status: { enumerable: true }, - ok: { enumerable: true }, - redirected: { enumerable: true }, - statusText: { enumerable: true }, - headers: { enumerable: true }, - clone: { enumerable: true } -}); + usm.basicURLParse(v, {url : this._url, stateOverride : "hostname"}); + } -Object.defineProperty(Response.prototype, Symbol.toStringTag, { - value: 'Response', - writable: false, - enumerable: false, - configurable: true -}); + get port() { + if (this._url.port === null) { + return ""; + } -const INTERNALS$2 = Symbol('Request internals'); -const URL = Url.URL || whatwgUrl.URL; - -// fix an issue where "format", "parse" aren't a named export for node <10 -const parse_url = Url.parse; -const format_url = Url.format; - -/** - * Wrapper around `new URL` to handle arbitrary URLs - * - * @param {string} urlStr - * @return {void} - */ -function parseURL(urlStr) { - /* - Check whether the URL is absolute or not - Scheme: https://tools.ietf.org/html/rfc3986#section-3.1 - Absolute URL: https://tools.ietf.org/html/rfc3986#section-4.3 - */ - if (/^[a-zA-Z][a-zA-Z\d+\-.]*:/.exec(urlStr)) { - urlStr = new URL(urlStr).toString(); - } - - // Fallback to old implementation for arbitrary URLs - return parse_url(urlStr); -} + return usm.serializeInteger(this._url.port); + } -const streamDestructionSupported = 'destroy' in Stream.Readable.prototype; + set port(v) { + if (usm.cannotHaveAUsernamePasswordPort(this._url)) { + return; + } -/** - * Check if a value is an instance of Request. - * - * @param Mixed input - * @return Boolean - */ -function isRequest(input) { - return typeof input === 'object' && typeof input[INTERNALS$2] === 'object'; -} + if (v === "") { + this._url.port = null; + } else { + usm.basicURLParse(v, {url : this._url, stateOverride : "port"}); + } + } -function isAbortSignal(signal) { - const proto = signal && typeof signal === 'object' && Object.getPrototypeOf(signal); - return !!(proto && proto.constructor.name === 'AbortSignal'); -} + get pathname() { + if (this._url.cannotBeABaseURL) { + return this._url.path[0]; + } -/** - * Request class - * - * @param Mixed input Url or Request instance - * @param Object init Custom options - * @return Void - */ -class Request { - constructor(input) { - let init = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {}; - - let parsedURL; - - // normalize input - if (!isRequest(input)) { - if (input && input.href) { - // in order to support Node.js' Url objects; though WHATWG's URL objects - // will fall into this branch also (since their `toString()` will return - // `href` property anyway) - parsedURL = parseURL(input.href); - } else { - // coerce input to a string before attempting to parse - parsedURL = parseURL(`${input}`); - } - input = {}; - } else { - parsedURL = parseURL(input.url); - } - - let method = init.method || input.method || 'GET'; - method = method.toUpperCase(); - - if ((init.body != null || isRequest(input) && input.body !== null) && (method === 'GET' || method === 'HEAD')) { - throw new TypeError('Request with GET/HEAD method cannot have body'); - } - - let inputBody = init.body != null ? init.body : isRequest(input) && input.body !== null ? clone(input) : null; - - Body.call(this, inputBody, { - timeout: init.timeout || input.timeout || 0, - size: init.size || input.size || 0 - }); - - const headers = new Headers(init.headers || input.headers || {}); - - if (inputBody != null && !headers.has('Content-Type')) { - const contentType = extractContentType(inputBody); - if (contentType) { - headers.append('Content-Type', contentType); - } - } - - let signal = isRequest(input) ? input.signal : null; - if ('signal' in init) signal = init.signal; - - if (signal != null && !isAbortSignal(signal)) { - throw new TypeError('Expected signal to be an instanceof AbortSignal'); - } - - this[INTERNALS$2] = { - method, - redirect: init.redirect || input.redirect || 'follow', - headers, - parsedURL, - signal - }; - - // node-fetch-only options - this.follow = init.follow !== undefined ? init.follow : input.follow !== undefined ? input.follow : 20; - this.compress = init.compress !== undefined ? init.compress : input.compress !== undefined ? input.compress : true; - this.counter = init.counter || input.counter || 0; - this.agent = init.agent || input.agent; - } - - get method() { - return this[INTERNALS$2].method; - } - - get url() { - return format_url(this[INTERNALS$2].parsedURL); - } - - get headers() { - return this[INTERNALS$2].headers; - } - - get redirect() { - return this[INTERNALS$2].redirect; - } - - get signal() { - return this[INTERNALS$2].signal; - } - - /** - * Clone this request - * - * @return Request - */ - clone() { - return new Request(this); - } -} + if (this._url.path.length === 0) { + return ""; + } -Body.mixIn(Request.prototype); + return "/" + this._url.path.join("/"); + } -Object.defineProperty(Request.prototype, Symbol.toStringTag, { - value: 'Request', - writable: false, - enumerable: false, - configurable: true -}); + set pathname(v) { + if (this._url.cannotBeABaseURL) { + return; + } -Object.defineProperties(Request.prototype, { - method: { enumerable: true }, - url: { enumerable: true }, - headers: { enumerable: true }, - redirect: { enumerable: true }, - clone: { enumerable: true }, - signal: { enumerable: true } -}); + this._url.path = []; + usm.basicURLParse(v, {url : this._url, stateOverride : "path start"}); + } -/** - * Convert a Request to Node.js http request options. - * - * @param Request A Request instance - * @return Object The options object to be passed to http.request - */ -function getNodeRequestOptions(request) { - const parsedURL = request[INTERNALS$2].parsedURL; - const headers = new Headers(request[INTERNALS$2].headers); - - // fetch step 1.3 - if (!headers.has('Accept')) { - headers.set('Accept', '*/*'); - } - - // Basic fetch - if (!parsedURL.protocol || !parsedURL.hostname) { - throw new TypeError('Only absolute URLs are supported'); - } - - if (!/^https?:$/.test(parsedURL.protocol)) { - throw new TypeError('Only HTTP(S) protocols are supported'); - } - - if (request.signal && request.body instanceof Stream.Readable && !streamDestructionSupported) { - throw new Error('Cancellation of streamed requests with AbortSignal is not supported in node < 8'); - } - - // HTTP-network-or-cache fetch steps 2.4-2.7 - let contentLengthValue = null; - if (request.body == null && /^(POST|PUT)$/i.test(request.method)) { - contentLengthValue = '0'; - } - if (request.body != null) { - const totalBytes = getTotalBytes(request); - if (typeof totalBytes === 'number') { - contentLengthValue = String(totalBytes); - } - } - if (contentLengthValue) { - headers.set('Content-Length', contentLengthValue); - } - - // HTTP-network-or-cache fetch step 2.11 - if (!headers.has('User-Agent')) { - headers.set('User-Agent', 'node-fetch/1.0 (+https://github.com/bitinn/node-fetch)'); - } - - // HTTP-network-or-cache fetch step 2.15 - if (request.compress && !headers.has('Accept-Encoding')) { - headers.set('Accept-Encoding', 'gzip,deflate'); - } - - let agent = request.agent; - if (typeof agent === 'function') { - agent = agent(parsedURL); - } - - if (!headers.has('Connection') && !agent) { - headers.set('Connection', 'close'); - } - - // HTTP-network fetch step 4.2 - // chunked encoding is handled by Node.js - - return Object.assign({}, parsedURL, { - method: request.method, - headers: exportNodeCompatibleHeaders(headers), - agent - }); -} + get search() { + if (this._url.query === null || this._url.query === "") { + return ""; + } -/** - * abort-error.js - * - * AbortError interface for cancelled requests - */ - -/** - * Create AbortError instance - * - * @param String message Error message for human - * @return AbortError - */ -function AbortError(message) { - Error.call(this, message); - - this.type = 'aborted'; - this.message = message; - - // hide custom error implementation details from end-users - Error.captureStackTrace(this, this.constructor); -} + return "?" + this._url.query; + } -AbortError.prototype = Object.create(Error.prototype); -AbortError.prototype.constructor = AbortError; -AbortError.prototype.name = 'AbortError'; + set search(v) { + // TODO: query stuff -const URL$1 = Url.URL || whatwgUrl.URL; + const url = this._url; -// fix an issue where "PassThrough", "resolve" aren't a named export for node <10 -const PassThrough$1 = Stream.PassThrough; + if (v === "") { + url.query = null; + return; + } -const isDomainOrSubdomain = function isDomainOrSubdomain(destination, original) { - const orig = new URL$1(original).hostname; - const dest = new URL$1(destination).hostname; + const input = v[0] === "?" ? v.substring(1) : v; + url.query = ""; + usm.basicURLParse(input, {url, stateOverride : "query"}); + } - return orig === dest || orig[orig.length - dest.length - 1] === '.' && orig.endsWith(dest); -}; + get hash() { + if (this._url.fragment === null || this._url.fragment === "") { + return ""; + } -/** - * Fetch function - * - * @param Mixed url Absolute url or Request instance - * @param Object opts Fetch options - * @return Promise - */ -function fetch(url, opts) { - - // allow custom promise - if (!fetch.Promise) { - throw new Error('native promise missing, set fetch.Promise to your favorite alternative'); - } - - Body.Promise = fetch.Promise; - - // wrap http.request into fetch - return new fetch.Promise(function (resolve, reject) { - // build request object - const request = new Request(url, opts); - const options = getNodeRequestOptions(request); - - const send = (options.protocol === 'https:' ? https : http).request; - const signal = request.signal; - - let response = null; - - const abort = function abort() { - let error = new AbortError('The user aborted a request.'); - reject(error); - if (request.body && request.body instanceof Stream.Readable) { - request.body.destroy(error); - } - if (!response || !response.body) return; - response.body.emit('error', error); - }; - - if (signal && signal.aborted) { - abort(); - return; - } - - const abortAndFinalize = function abortAndFinalize() { - abort(); - finalize(); - }; - - // send request - const req = send(options); - let reqTimeout; - - if (signal) { - signal.addEventListener('abort', abortAndFinalize); - } - - function finalize() { - req.abort(); - if (signal) signal.removeEventListener('abort', abortAndFinalize); - clearTimeout(reqTimeout); - } - - if (request.timeout) { - req.once('socket', function (socket) { - reqTimeout = setTimeout(function () { - reject(new FetchError(`network timeout at: ${request.url}`, 'request-timeout')); - finalize(); - }, request.timeout); - }); - } - - req.on('error', function (err) { - reject(new FetchError(`request to ${request.url} failed, reason: ${err.message}`, 'system', err)); - finalize(); - }); - - req.on('response', function (res) { - clearTimeout(reqTimeout); - - const headers = createHeadersLenient(res.headers); - - // HTTP fetch step 5 - if (fetch.isRedirect(res.statusCode)) { - // HTTP fetch step 5.2 - const location = headers.get('Location'); - - // HTTP fetch step 5.3 - let locationURL = null; - try { - locationURL = location === null ? null : new URL$1(location, request.url).toString(); - } catch (err) { - // error here can only be invalid URL in Location: header - // do not throw when options.redirect == manual - // let the user extract the errorneous redirect URL - if (request.redirect !== 'manual') { - reject(new FetchError(`uri requested responds with an invalid redirect URL: ${location}`, 'invalid-redirect')); - finalize(); - return; - } - } - - // HTTP fetch step 5.5 - switch (request.redirect) { - case 'error': - reject(new FetchError(`uri requested responds with a redirect, redirect mode is set to error: ${request.url}`, 'no-redirect')); - finalize(); - return; - case 'manual': - // node-fetch-specific step: make manual redirect a bit easier to use by setting the Location header value to the resolved URL. - if (locationURL !== null) { - // handle corrupted header - try { - headers.set('Location', locationURL); - } catch (err) { - // istanbul ignore next: nodejs server prevent invalid response headers, we can't test this through normal request - reject(err); - } - } - break; - case 'follow': - // HTTP-redirect fetch step 2 - if (locationURL === null) { - break; - } - - // HTTP-redirect fetch step 5 - if (request.counter >= request.follow) { - reject(new FetchError(`maximum redirect reached at: ${request.url}`, 'max-redirect')); - finalize(); - return; - } - - // HTTP-redirect fetch step 6 (counter increment) - // Create a new Request object. - const requestOpts = { - headers: new Headers(request.headers), - follow: request.follow, - counter: request.counter + 1, - agent: request.agent, - compress: request.compress, - method: request.method, - body: request.body, - signal: request.signal, - timeout: request.timeout, - size: request.size - }; - - if (!isDomainOrSubdomain(request.url, locationURL)) { - for (const name of ['authorization', 'www-authenticate', 'cookie', 'cookie2']) { - requestOpts.headers.delete(name); - } - } - - // HTTP-redirect fetch step 9 - if (res.statusCode !== 303 && request.body && getTotalBytes(request) === null) { - reject(new FetchError('Cannot follow redirect with body being a readable stream', 'unsupported-redirect')); - finalize(); - return; - } - - // HTTP-redirect fetch step 11 - if (res.statusCode === 303 || (res.statusCode === 301 || res.statusCode === 302) && request.method === 'POST') { - requestOpts.method = 'GET'; - requestOpts.body = undefined; - requestOpts.headers.delete('content-length'); - } - - // HTTP-redirect fetch step 15 - resolve(fetch(new Request(locationURL, requestOpts))); - finalize(); - return; - } - } - - // prepare response - res.once('end', function () { - if (signal) signal.removeEventListener('abort', abortAndFinalize); - }); - let body = res.pipe(new PassThrough$1()); - - const response_options = { - url: request.url, - status: res.statusCode, - statusText: res.statusMessage, - headers: headers, - size: request.size, - timeout: request.timeout, - counter: request.counter - }; - - // HTTP-network fetch step 12.1.1.3 - const codings = headers.get('Content-Encoding'); - - // HTTP-network fetch step 12.1.1.4: handle content codings - - // in following scenarios we ignore compression support - // 1. compression support is disabled - // 2. HEAD request - // 3. no Content-Encoding header - // 4. no content response (204) - // 5. content not modified response (304) - if (!request.compress || request.method === 'HEAD' || codings === null || res.statusCode === 204 || res.statusCode === 304) { - response = new Response(body, response_options); - resolve(response); - return; - } - - // For Node v6+ - // Be less strict when decoding compressed responses, since sometimes - // servers send slightly invalid responses that are still accepted - // by common browsers. - // Always using Z_SYNC_FLUSH is what cURL does. - const zlibOptions = { - flush: zlib.Z_SYNC_FLUSH, - finishFlush: zlib.Z_SYNC_FLUSH - }; - - // for gzip - if (codings == 'gzip' || codings == 'x-gzip') { - body = body.pipe(zlib.createGunzip(zlibOptions)); - response = new Response(body, response_options); - resolve(response); - return; - } - - // for deflate - if (codings == 'deflate' || codings == 'x-deflate') { - // handle the infamous raw deflate response from old servers - // a hack for old IIS and Apache servers - const raw = res.pipe(new PassThrough$1()); - raw.once('data', function (chunk) { - // see http://stackoverflow.com/questions/37519828 - if ((chunk[0] & 0x0F) === 0x08) { - body = body.pipe(zlib.createInflate()); - } else { - body = body.pipe(zlib.createInflateRaw()); - } - response = new Response(body, response_options); - resolve(response); - }); - return; - } - - // for br - if (codings == 'br' && typeof zlib.createBrotliDecompress === 'function') { - body = body.pipe(zlib.createBrotliDecompress()); - response = new Response(body, response_options); - resolve(response); - return; - } - - // otherwise, use response as-is - response = new Response(body, response_options); - resolve(response); - }); - - writeToStream(req, request); - }); -} -/** - * Redirect code matching - * - * @param Number code Status code - * @return Boolean - */ -fetch.isRedirect = function (code) { - return code === 301 || code === 302 || code === 303 || code === 307 || code === 308; -}; + return "#" + this._url.fragment; + } -// expose Promise -fetch.Promise = global.Promise; + set hash(v) { + if (v === "") { + this._url.fragment = null; + return; + } -module.exports = exports = fetch; -Object.defineProperty(exports, "__esModule", ({ value: true })); -exports["default"] = exports; -exports.Headers = Headers; -exports.Request = Request; -exports.Response = Response; -exports.FetchError = FetchError; + const input = v[0] === "#" ? v.substring(1) : v; + this._url.fragment = ""; + usm.basicURLParse(input, {url : this._url, stateOverride : "fragment"}); + } + toJSON() { + return this.href; + } + }; -/***/ }), + /***/ }), -/***/ 1223: +/***/ 3394: /***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; -var wrappy = __nccwpck_require__(2940) -module.exports = wrappy(once) -module.exports.strict = wrappy(onceStrict) - -once.proto = once(function () { - Object.defineProperty(Function.prototype, 'once', { - value: function () { - return once(this) - }, - configurable: true - }) - - Object.defineProperty(Function.prototype, 'onceStrict', { - value: function () { - return onceStrict(this) - }, - configurable: true - }) -}) - -function once (fn) { - var f = function () { - if (f.called) return f.value - f.called = true - return f.value = fn.apply(this, arguments) - } - f.called = false - return f -} + const conversions = __nccwpck_require__(4886); + const utils = __nccwpck_require__(3185); + const Impl = __nccwpck_require__(7537); -function onceStrict (fn) { - var f = function () { - if (f.called) - throw new Error(f.onceError) - f.called = true - return f.value = fn.apply(this, arguments) - } - var name = fn.name || 'Function wrapped with `once`' - f.onceError = name + " shouldn't be called more than once" - f.called = false - return f -} + const impl = utils.implSymbol; + function URL(url) { + if (!this || this[impl] || !(this instanceof URL)) { + throw new TypeError( + "Failed to construct 'URL': Please use the 'new' operator, this DOM object constructor cannot be called as a function."); + } + if (arguments.length < 1) { + throw new TypeError( + "Failed to construct 'URL': 1 argument required, but only " + arguments.length + " present."); + } + const args = []; + for (let i = 0; i < arguments.length && i < 2; ++i) { + args[i] = arguments[i]; + } + args[0] = conversions["USVString"](args[0]); + if (args[1] !== undefined) { + args[1] = conversions["USVString"](args[1]); + } -/***/ }), + module.exports.setup(this, args); + } -/***/ 4256: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + URL.prototype.toJSON = function toJSON() { + if (!this || !module.exports.is(this)) { + throw new TypeError("Illegal invocation"); + } + const args = []; + for (let i = 0; i < arguments.length && i < 0; ++i) { + args[i] = arguments[i]; + } + return this[impl].toJSON.apply(this[impl], args); + }; + Object.defineProperty(URL.prototype, "href", { + get() { + return this[impl].href; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].href = V; + }, + enumerable : true, + configurable : true + }); -"use strict"; + URL.prototype.toString = function() { + if (!this || !module.exports.is(this)) { + throw new TypeError("Illegal invocation"); + } + return this.href; + }; + Object.defineProperty(URL.prototype, "origin", { + get() { + return this[impl].origin; + }, + enumerable : true, + configurable : true + }); -var punycode = __nccwpck_require__(5477); -var mappingTable = __nccwpck_require__(2020); + Object.defineProperty(URL.prototype, "protocol", { + get() { + return this[impl].protocol; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].protocol = V; + }, + enumerable : true, + configurable : true + }); -var PROCESSING_OPTIONS = { - TRANSITIONAL: 0, - NONTRANSITIONAL: 1 -}; + Object.defineProperty(URL.prototype, "username", { + get() { + return this[impl].username; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].username = V; + }, + enumerable : true, + configurable : true + }); -function normalize(str) { // fix bug in v8 - return str.split('\u0000').map(function (s) { return s.normalize('NFC'); }).join('\u0000'); -} + Object.defineProperty(URL.prototype, "password", { + get() { + return this[impl].password; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].password = V; + }, + enumerable : true, + configurable : true + }); -function findStatus(val) { - var start = 0; - var end = mappingTable.length - 1; + Object.defineProperty(URL.prototype, "host", { + get() { + return this[impl].host; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].host = V; + }, + enumerable : true, + configurable : true + }); - while (start <= end) { - var mid = Math.floor((start + end) / 2); + Object.defineProperty(URL.prototype, "hostname", { + get() { + return this[impl].hostname; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].hostname = V; + }, + enumerable : true, + configurable : true + }); - var target = mappingTable[mid]; - if (target[0][0] <= val && target[0][1] >= val) { - return target; - } else if (target[0][0] > val) { - end = mid - 1; - } else { - start = mid + 1; - } - } + Object.defineProperty(URL.prototype, "port", { + get() { + return this[impl].port; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].port = V; + }, + enumerable : true, + configurable : true + }); - return null; -} + Object.defineProperty(URL.prototype, "pathname", { + get() { + return this[impl].pathname; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].pathname = V; + }, + enumerable : true, + configurable : true + }); -var regexAstralSymbols = /[\uD800-\uDBFF][\uDC00-\uDFFF]/g; + Object.defineProperty(URL.prototype, "search", { + get() { + return this[impl].search; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].search = V; + }, + enumerable : true, + configurable : true + }); -function countSymbols(string) { - return string - // replace every surrogate pair with a BMP symbol - .replace(regexAstralSymbols, '_') - // then get the length - .length; -} + Object.defineProperty(URL.prototype, "hash", { + get() { + return this[impl].hash; + }, + set(V) { + V = conversions["USVString"](V); + this[impl].hash = V; + }, + enumerable : true, + configurable : true + }); -function mapChars(domain_name, useSTD3, processing_option) { - var hasError = false; - var processed = ""; - - var len = countSymbols(domain_name); - for (var i = 0; i < len; ++i) { - var codePoint = domain_name.codePointAt(i); - var status = findStatus(codePoint); - - switch (status[1]) { - case "disallowed": - hasError = true; - processed += String.fromCodePoint(codePoint); - break; - case "ignored": - break; - case "mapped": - processed += String.fromCodePoint.apply(String, status[2]); - break; - case "deviation": - if (processing_option === PROCESSING_OPTIONS.TRANSITIONAL) { - processed += String.fromCodePoint.apply(String, status[2]); - } else { - processed += String.fromCodePoint(codePoint); - } - break; - case "valid": - processed += String.fromCodePoint(codePoint); - break; - case "disallowed_STD3_mapped": - if (useSTD3) { - hasError = true; - processed += String.fromCodePoint(codePoint); - } else { - processed += String.fromCodePoint.apply(String, status[2]); - } - break; - case "disallowed_STD3_valid": - if (useSTD3) { - hasError = true; - } + module.exports = { + is(obj) { + return !!obj && obj[impl] instanceof Impl.implementation; + }, + create(constructorArgs, privateData) { + let obj = Object.create(URL.prototype); + this.setup(obj, constructorArgs, privateData); + return obj; + }, + setup(obj, constructorArgs, privateData) { + if (!privateData) privateData = {}; + privateData.wrapper = obj; - processed += String.fromCodePoint(codePoint); - break; - } + obj[impl] = new Impl.implementation(constructorArgs, privateData); + obj[impl][utils.wrapperSymbol] = obj; + }, + interface: URL, + expose: { + Window: { URL: URL }, + Worker: { URL: URL } } +}; - return { - string: processed, - error: hasError - }; -} + /***/ }), -var combiningMarksRegex = /[\u0300-\u036F\u0483-\u0489\u0591-\u05BD\u05BF\u05C1\u05C2\u05C4\u05C5\u05C7\u0610-\u061A\u064B-\u065F\u0670\u06D6-\u06DC\u06DF-\u06E4\u06E7\u06E8\u06EA-\u06ED\u0711\u0730-\u074A\u07A6-\u07B0\u07EB-\u07F3\u0816-\u0819\u081B-\u0823\u0825-\u0827\u0829-\u082D\u0859-\u085B\u08E4-\u0903\u093A-\u093C\u093E-\u094F\u0951-\u0957\u0962\u0963\u0981-\u0983\u09BC\u09BE-\u09C4\u09C7\u09C8\u09CB-\u09CD\u09D7\u09E2\u09E3\u0A01-\u0A03\u0A3C\u0A3E-\u0A42\u0A47\u0A48\u0A4B-\u0A4D\u0A51\u0A70\u0A71\u0A75\u0A81-\u0A83\u0ABC\u0ABE-\u0AC5\u0AC7-\u0AC9\u0ACB-\u0ACD\u0AE2\u0AE3\u0B01-\u0B03\u0B3C\u0B3E-\u0B44\u0B47\u0B48\u0B4B-\u0B4D\u0B56\u0B57\u0B62\u0B63\u0B82\u0BBE-\u0BC2\u0BC6-\u0BC8\u0BCA-\u0BCD\u0BD7\u0C00-\u0C03\u0C3E-\u0C44\u0C46-\u0C48\u0C4A-\u0C4D\u0C55\u0C56\u0C62\u0C63\u0C81-\u0C83\u0CBC\u0CBE-\u0CC4\u0CC6-\u0CC8\u0CCA-\u0CCD\u0CD5\u0CD6\u0CE2\u0CE3\u0D01-\u0D03\u0D3E-\u0D44\u0D46-\u0D48\u0D4A-\u0D4D\u0D57\u0D62\u0D63\u0D82\u0D83\u0DCA\u0DCF-\u0DD4\u0DD6\u0DD8-\u0DDF\u0DF2\u0DF3\u0E31\u0E34-\u0E3A\u0E47-\u0E4E\u0EB1\u0EB4-\u0EB9\u0EBB\u0EBC\u0EC8-\u0ECD\u0F18\u0F19\u0F35\u0F37\u0F39\u0F3E\u0F3F\u0F71-\u0F84\u0F86\u0F87\u0F8D-\u0F97\u0F99-\u0FBC\u0FC6\u102B-\u103E\u1056-\u1059\u105E-\u1060\u1062-\u1064\u1067-\u106D\u1071-\u1074\u1082-\u108D\u108F\u109A-\u109D\u135D-\u135F\u1712-\u1714\u1732-\u1734\u1752\u1753\u1772\u1773\u17B4-\u17D3\u17DD\u180B-\u180D\u18A9\u1920-\u192B\u1930-\u193B\u19B0-\u19C0\u19C8\u19C9\u1A17-\u1A1B\u1A55-\u1A5E\u1A60-\u1A7C\u1A7F\u1AB0-\u1ABE\u1B00-\u1B04\u1B34-\u1B44\u1B6B-\u1B73\u1B80-\u1B82\u1BA1-\u1BAD\u1BE6-\u1BF3\u1C24-\u1C37\u1CD0-\u1CD2\u1CD4-\u1CE8\u1CED\u1CF2-\u1CF4\u1CF8\u1CF9\u1DC0-\u1DF5\u1DFC-\u1DFF\u20D0-\u20F0\u2CEF-\u2CF1\u2D7F\u2DE0-\u2DFF\u302A-\u302F\u3099\u309A\uA66F-\uA672\uA674-\uA67D\uA69F\uA6F0\uA6F1\uA802\uA806\uA80B\uA823-\uA827\uA880\uA881\uA8B4-\uA8C4\uA8E0-\uA8F1\uA926-\uA92D\uA947-\uA953\uA980-\uA983\uA9B3-\uA9C0\uA9E5\uAA29-\uAA36\uAA43\uAA4C\uAA4D\uAA7B-\uAA7D\uAAB0\uAAB2-\uAAB4\uAAB7\uAAB8\uAABE\uAABF\uAAC1\uAAEB-\uAAEF\uAAF5\uAAF6\uABE3-\uABEA\uABEC\uABED\uFB1E\uFE00-\uFE0F\uFE20-\uFE2D]|\uD800[\uDDFD\uDEE0\uDF76-\uDF7A]|\uD802[\uDE01-\uDE03\uDE05\uDE06\uDE0C-\uDE0F\uDE38-\uDE3A\uDE3F\uDEE5\uDEE6]|\uD804[\uDC00-\uDC02\uDC38-\uDC46\uDC7F-\uDC82\uDCB0-\uDCBA\uDD00-\uDD02\uDD27-\uDD34\uDD73\uDD80-\uDD82\uDDB3-\uDDC0\uDE2C-\uDE37\uDEDF-\uDEEA\uDF01-\uDF03\uDF3C\uDF3E-\uDF44\uDF47\uDF48\uDF4B-\uDF4D\uDF57\uDF62\uDF63\uDF66-\uDF6C\uDF70-\uDF74]|\uD805[\uDCB0-\uDCC3\uDDAF-\uDDB5\uDDB8-\uDDC0\uDE30-\uDE40\uDEAB-\uDEB7]|\uD81A[\uDEF0-\uDEF4\uDF30-\uDF36]|\uD81B[\uDF51-\uDF7E\uDF8F-\uDF92]|\uD82F[\uDC9D\uDC9E]|\uD834[\uDD65-\uDD69\uDD6D-\uDD72\uDD7B-\uDD82\uDD85-\uDD8B\uDDAA-\uDDAD\uDE42-\uDE44]|\uD83A[\uDCD0-\uDCD6]|\uDB40[\uDD00-\uDDEF]/; +/***/ 8665: +/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + "use strict"; -function validateLabel(label, processing_option) { - if (label.substr(0, 4) === "xn--") { - label = punycode.toUnicode(label); - processing_option = PROCESSING_OPTIONS.NONTRANSITIONAL; - } + exports.URL = __nccwpck_require__(3394)["interface"]; + exports.serializeURL = __nccwpck_require__(2158).serializeURL; + exports.serializeURLOrigin = __nccwpck_require__(2158).serializeURLOrigin; + exports.basicURLParse = __nccwpck_require__(2158).basicURLParse; + exports.setTheUsername = __nccwpck_require__(2158).setTheUsername; + exports.setThePassword = __nccwpck_require__(2158).setThePassword; + exports.serializeHost = __nccwpck_require__(2158).serializeHost; + exports.serializeInteger = __nccwpck_require__(2158).serializeInteger; + exports.parseURL = __nccwpck_require__(2158).parseURL; - var error = false; + /***/ }), - if (normalize(label) !== label || - (label[3] === "-" && label[4] === "-") || - label[0] === "-" || label[label.length - 1] === "-" || - label.indexOf(".") !== -1 || - label.search(combiningMarksRegex) === 0) { - error = true; - } +/***/ 2158: +/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + "use strict"; - var len = countSymbols(label); - for (var i = 0; i < len; ++i) { - var status = findStatus(label.codePointAt(i)); - if ((processing === PROCESSING_OPTIONS.TRANSITIONAL && status[1] !== "valid") || - (processing === PROCESSING_OPTIONS.NONTRANSITIONAL && - status[1] !== "valid" && status[1] !== "deviation")) { - error = true; - break; - } - } + const punycode = __nccwpck_require__(5477); + const tr46 = __nccwpck_require__(4256); - return { - label: label, - error: error - }; -} + const specialSchemes = {ftp : 21, file : null, gopher : 70, http : 80, https : 443, ws : 80, wss : 443}; -function processing(domain_name, useSTD3, processing_option) { - var result = mapChars(domain_name, useSTD3, processing_option); - result.string = normalize(result.string); + const failure = Symbol("failure"); - var labels = result.string.split("."); - for (var i = 0; i < labels.length; ++i) { - try { - var validation = validateLabel(labels[i]); - labels[i] = validation.label; - result.error = result.error || validation.error; - } catch(e) { - result.error = true; + function countSymbols(str) { + return punycode.ucs2.decode(str).length; } - } - - return { - string: labels.join("."), - error: result.error - }; -} -module.exports.toASCII = function(domain_name, useSTD3, processing_option, verifyDnsLength) { - var result = processing(domain_name, useSTD3, processing_option); - var labels = result.string.split("."); - labels = labels.map(function(l) { - try { - return punycode.toASCII(l); - } catch(e) { - result.error = true; - return l; + function at(input, idx) { + const c = input[idx]; + return isNaN(c) ? undefined : String.fromCodePoint(c); } - }); - if (verifyDnsLength) { - var total = labels.slice(0, labels.length - 1).join(".").length; - if (total.length > 253 || total.length === 0) { - result.error = true; + function isASCIIDigit(c) { + return c >= 0x30 && c <= 0x39; } - for (var i=0; i < labels.length; ++i) { - if (labels.length > 63 || labels.length === 0) { - result.error = true; - break; - } + function isASCIIAlpha(c) { + return (c >= 0x41 && c <= 0x5A) || (c >= 0x61 && c <= 0x7A); } - } - - if (result.error) return null; - return labels.join("."); -}; - -module.exports.toUnicode = function(domain_name, useSTD3) { - var result = processing(domain_name, useSTD3, PROCESSING_OPTIONS.NONTRANSITIONAL); - - return { - domain: result.string, - error: result.error - }; -}; - -module.exports.PROCESSING_OPTIONS = PROCESSING_OPTIONS; + function isASCIIAlphanumeric(c) { + return isASCIIAlpha(c) || isASCIIDigit(c); + } -/***/ }), + function isASCIIHex(c) { + return isASCIIDigit(c) || (c >= 0x41 && c <= 0x46) || (c >= 0x61 && c <= 0x66); + } -/***/ 4294: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + function isSingleDot(buffer) { + return buffer === "." || buffer.toLowerCase() === "%2e"; + } -module.exports = __nccwpck_require__(4219); + function isDoubleDot(buffer) { + buffer = buffer.toLowerCase(); + return buffer === ".." || buffer === "%2e." || buffer === ".%2e" || buffer === "%2e%2e"; + } + function isWindowsDriveLetterCodePoints(cp1, cp2) { + return isASCIIAlpha(cp1) && (cp2 === 58 || cp2 === 124); + } -/***/ }), + function isWindowsDriveLetterString(string) { + return string.length === 2 && isASCIIAlpha(string.codePointAt(0)) && (string[1] === ":" || string[1] === "|"); + } -/***/ 4219: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + function isNormalizedWindowsDriveLetterString(string) { + return string.length === 2 && isASCIIAlpha(string.codePointAt(0)) && string[1] === ":"; + } -"use strict"; + function containsForbiddenHostCodePoint(string) { + return string.search(/\u0000|\u0009|\u000A|\u000D|\u0020|#|%|\/|:|\?|@|\[|\\|\]/) !== -1; + } + function containsForbiddenHostCodePointExcludingPercent(string) { + return string.search(/\u0000|\u0009|\u000A|\u000D|\u0020|#|\/|:|\?|@|\[|\\|\]/) !== -1; + } -var net = __nccwpck_require__(1808); -var tls = __nccwpck_require__(4404); -var http = __nccwpck_require__(3685); -var https = __nccwpck_require__(5687); -var events = __nccwpck_require__(2361); -var assert = __nccwpck_require__(9491); -var util = __nccwpck_require__(3837); + function isSpecialScheme(scheme) { + return specialSchemes[scheme] !== undefined; + } + function isSpecial(url) { + return isSpecialScheme(url.scheme); + } -exports.httpOverHttp = httpOverHttp; -exports.httpsOverHttp = httpsOverHttp; -exports.httpOverHttps = httpOverHttps; -exports.httpsOverHttps = httpsOverHttps; + function defaultPort(scheme) { + return specialSchemes[scheme]; + } + function percentEncode(c) { + let hex = c.toString(16).toUpperCase(); + if (hex.length === 1) { + hex = "0" + hex; + } -function httpOverHttp(options) { - var agent = new TunnelingAgent(options); - agent.request = http.request; - return agent; -} + return "%" + hex; + } -function httpsOverHttp(options) { - var agent = new TunnelingAgent(options); - agent.request = http.request; - agent.createSocket = createSecureSocket; - agent.defaultPort = 443; - return agent; -} + function utf8PercentEncode(c) { + const buf = new Buffer(c); -function httpOverHttps(options) { - var agent = new TunnelingAgent(options); - agent.request = https.request; - return agent; -} + let str = ""; -function httpsOverHttps(options) { - var agent = new TunnelingAgent(options); - agent.request = https.request; - agent.createSocket = createSecureSocket; - agent.defaultPort = 443; - return agent; -} + for (let i = 0; i < buf.length; ++i) { + str += percentEncode(buf[i]); + } + return str; + } -function TunnelingAgent(options) { - var self = this; - self.options = options || {}; - self.proxyOptions = self.options.proxy || {}; - self.maxSockets = self.options.maxSockets || http.Agent.defaultMaxSockets; - self.requests = []; - self.sockets = []; - - self.on('free', function onFree(socket, host, port, localAddress) { - var options = toOptions(host, port, localAddress); - for (var i = 0, len = self.requests.length; i < len; ++i) { - var pending = self.requests[i]; - if (pending.host === options.host && pending.port === options.port) { - // Detect the request to connect same origin server, - // reuse the connection. - self.requests.splice(i, 1); - pending.request.onSocket(socket); - return; + function utf8PercentDecode(str) { + const input = new Buffer(str); + const output = []; + for (let i = 0; i < input.length; ++i) { + if (input[i] !== 37) { + output.push(input[i]); + } else if (input[i] === 37 && isASCIIHex(input[i + 1]) && isASCIIHex(input[i + 2])) { + output.push(parseInt(input.slice(i + 1, i + 3).toString(), 16)); + i += 2; + } else { + output.push(input[i]); + } } + return new Buffer(output).toString(); } - socket.destroy(); - self.removeSocket(socket); - }); -} -util.inherits(TunnelingAgent, events.EventEmitter); -TunnelingAgent.prototype.addRequest = function addRequest(req, host, port, localAddress) { - var self = this; - var options = mergeOptions({request: req}, self.options, toOptions(host, port, localAddress)); - - if (self.sockets.length >= this.maxSockets) { - // We are over limit so we'll add it to the queue. - self.requests.push(options); - return; - } - - // If we are under maxSockets create a new one. - self.createSocket(options, function(socket) { - socket.on('free', onFree); - socket.on('close', onCloseOrRemove); - socket.on('agentRemove', onCloseOrRemove); - req.onSocket(socket); + function isC0ControlPercentEncode(c) { + return c <= 0x1F || c > 0x7E; + } - function onFree() { - self.emit('free', socket, options); + const extraPathPercentEncodeSet = new Set([ 32, 34, 35, 60, 62, 63, 96, 123, 125 ]); + function isPathPercentEncode(c) { + return isC0ControlPercentEncode(c) || extraPathPercentEncodeSet.has(c); } - function onCloseOrRemove(err) { - self.removeSocket(socket); - socket.removeListener('free', onFree); - socket.removeListener('close', onCloseOrRemove); - socket.removeListener('agentRemove', onCloseOrRemove); + const extraUserinfoPercentEncodeSet = new Set([ 47, 58, 59, 61, 64, 91, 92, 93, 94, 124 ]); + function isUserinfoPercentEncode(c) { + return isPathPercentEncode(c) || extraUserinfoPercentEncodeSet.has(c); } - }); -}; -TunnelingAgent.prototype.createSocket = function createSocket(options, cb) { - var self = this; - var placeholder = {}; - self.sockets.push(placeholder); - - var connectOptions = mergeOptions({}, self.proxyOptions, { - method: 'CONNECT', - path: options.host + ':' + options.port, - agent: false, - headers: { - host: options.host + ':' + options.port - } - }); - if (options.localAddress) { - connectOptions.localAddress = options.localAddress; - } - if (connectOptions.proxyAuth) { - connectOptions.headers = connectOptions.headers || {}; - connectOptions.headers['Proxy-Authorization'] = 'Basic ' + - new Buffer(connectOptions.proxyAuth).toString('base64'); - } + function percentEncodeChar(c, encodeSetPredicate) { + const cStr = String.fromCodePoint(c); - debug('making CONNECT request'); - var connectReq = self.request(connectOptions); - connectReq.useChunkedEncodingByDefault = false; // for v0.6 - connectReq.once('response', onResponse); // for v0.6 - connectReq.once('upgrade', onUpgrade); // for v0.6 - connectReq.once('connect', onConnect); // for v0.7 or later - connectReq.once('error', onError); - connectReq.end(); - - function onResponse(res) { - // Very hacky. This is necessary to avoid http-parser leaks. - res.upgrade = true; - } + if (encodeSetPredicate(c)) { + return utf8PercentEncode(cStr); + } - function onUpgrade(res, socket, head) { - // Hacky. - process.nextTick(function() { - onConnect(res, socket, head); - }); - } + return cStr; + } - function onConnect(res, socket, head) { - connectReq.removeAllListeners(); - socket.removeAllListeners(); - - if (res.statusCode !== 200) { - debug('tunneling socket could not be established, statusCode=%d', - res.statusCode); - socket.destroy(); - var error = new Error('tunneling socket could not be established, ' + - 'statusCode=' + res.statusCode); - error.code = 'ECONNRESET'; - options.request.emit('error', error); - self.removeSocket(placeholder); - return; - } - if (head.length > 0) { - debug('got illegal response body from proxy'); - socket.destroy(); - var error = new Error('got illegal response body from proxy'); - error.code = 'ECONNRESET'; - options.request.emit('error', error); - self.removeSocket(placeholder); - return; - } - debug('tunneling connection has established'); - self.sockets[self.sockets.indexOf(placeholder)] = socket; - return cb(socket); - } + function parseIPv4Number(input) { + let R = 10; - function onError(cause) { - connectReq.removeAllListeners(); + if (input.length >= 2 && input.charAt(0) === "0" && input.charAt(1).toLowerCase() === "x") { + input = input.substring(2); + R = 16; + } else if (input.length >= 2 && input.charAt(0) === "0") { + input = input.substring(1); + R = 8; + } - debug('tunneling socket could not be established, cause=%s\n', - cause.message, cause.stack); - var error = new Error('tunneling socket could not be established, ' + - 'cause=' + cause.message); - error.code = 'ECONNRESET'; - options.request.emit('error', error); - self.removeSocket(placeholder); - } -}; + if (input === "") { + return 0; + } -TunnelingAgent.prototype.removeSocket = function removeSocket(socket) { - var pos = this.sockets.indexOf(socket) - if (pos === -1) { - return; - } - this.sockets.splice(pos, 1); - - var pending = this.requests.shift(); - if (pending) { - // If we have pending requests and a socket gets closed a new one - // needs to be created to take over in the pool for the one that closed. - this.createSocket(pending, function(socket) { - pending.request.onSocket(socket); - }); - } -}; + const regex = R === 10 ? /[^0-9]/ : (R === 16 ? /[^0-9A-Fa-f]/ : /[^0-7]/); + if (regex.test(input)) { + return failure; + } -function createSecureSocket(options, cb) { - var self = this; - TunnelingAgent.prototype.createSocket.call(self, options, function(socket) { - var hostHeader = options.request.getHeader('host'); - var tlsOptions = mergeOptions({}, self.options, { - socket: socket, - servername: hostHeader ? hostHeader.replace(/:.*$/, '') : options.host - }); + return parseInt(input, R); + } - // 0 is dummy port for v0.6 - var secureSocket = tls.connect(0, tlsOptions); - self.sockets[self.sockets.indexOf(socket)] = secureSocket; - cb(secureSocket); - }); -} + function parseIPv4(input) { + const parts = input.split("."); + if (parts[parts.length - 1] === "") { + if (parts.length > 1) { + parts.pop(); + } + } + + if (parts.length > 4) { + return input; + } + const numbers = []; + for (const part of parts) { + if (part === "") { + return input; + } + const n = parseIPv4Number(part); + if (n === failure) { + return input; + } -function toOptions(host, port, localAddress) { - if (typeof host === 'string') { // since v0.10 - return { - host: host, - port: port, - localAddress: localAddress - }; - } - return host; // for v0.11 or later -} + numbers.push(n); + } -function mergeOptions(target) { - for (var i = 1, len = arguments.length; i < len; ++i) { - var overrides = arguments[i]; - if (typeof overrides === 'object') { - var keys = Object.keys(overrides); - for (var j = 0, keyLen = keys.length; j < keyLen; ++j) { - var k = keys[j]; - if (overrides[k] !== undefined) { - target[k] = overrides[k]; + for (let i = 0; i < numbers.length - 1; ++i) { + if (numbers[i] > 255) { + return failure; } } - } - } - return target; -} + if (numbers[numbers.length - 1] >= Math.pow(256, 5 - numbers.length)) { + return failure; + } + let ipv4 = numbers.pop(); + let counter = 0; -var debug; -if (process.env.NODE_DEBUG && /\btunnel\b/.test(process.env.NODE_DEBUG)) { - debug = function() { - var args = Array.prototype.slice.call(arguments); - if (typeof args[0] === 'string') { - args[0] = 'TUNNEL: ' + args[0]; - } else { - args.unshift('TUNNEL:'); - } - console.error.apply(console, args); - } -} else { - debug = function() {}; -} -exports.debug = debug; // for test + for (const n of numbers) { + ipv4 += n * Math.pow(256, 3 - counter); + ++counter; + } + return ipv4; + } -/***/ }), + function serializeIPv4(address) { + let output = ""; + let n = address; -/***/ 5030: -/***/ ((__unused_webpack_module, exports) => { + for (let i = 1; i <= 4; ++i) { + output = String(n % 256) + output; + if (i !== 4) { + output = "." + output; + } + n = Math.floor(n / 256); + } -"use strict"; + return output; + } + function parseIPv6(input) { + const address = [ 0, 0, 0, 0, 0, 0, 0, 0 ]; + let pieceIndex = 0; + let compress = null; + let pointer = 0; -Object.defineProperty(exports, "__esModule", ({ value: true })); + input = punycode.ucs2.decode(input); -function getUserAgent() { - if (typeof navigator === "object" && "userAgent" in navigator) { - return navigator.userAgent; - } + if (input[pointer] === 58) { + if (input[pointer + 1] !== 58) { + return failure; + } - if (typeof process === "object" && "version" in process) { - return `Node.js/${process.version.substr(1)} (${process.platform}; ${process.arch})`; - } + pointer += 2; + ++pieceIndex; + compress = pieceIndex; + } - return ""; -} + while (pointer < input.length) { + if (pieceIndex === 8) { + return failure; + } -exports.getUserAgent = getUserAgent; -//# sourceMappingURL=index.js.map + if (input[pointer] === 58) { + if (compress !== null) { + return failure; + } + ++pointer; + ++pieceIndex; + compress = pieceIndex; + continue; + } + let value = 0; + let length = 0; -/***/ }), + while (length < 4 && isASCIIHex(input[pointer])) { + value = value * 0x10 + parseInt(at(input, pointer), 16); + ++pointer; + ++length; + } -/***/ 4886: -/***/ ((module) => { + if (input[pointer] === 46) { + if (length === 0) { + return failure; + } -"use strict"; + pointer -= length; + if (pieceIndex > 6) { + return failure; + } -var conversions = {}; -module.exports = conversions; + let numbersSeen = 0; -function sign(x) { - return x < 0 ? -1 : 1; -} + while (input[pointer] !== undefined) { + let ipv4Piece = null; -function evenRound(x) { - // Round x to the nearest integer, choosing the even integer if it lies halfway between two. - if ((x % 1) === 0.5 && (x & 1) === 0) { // [even number].5; round down (i.e. floor) - return Math.floor(x); - } else { - return Math.round(x); - } -} + if (numbersSeen > 0) { + if (input[pointer] === 46 && numbersSeen < 4) { + ++pointer; + } else { + return failure; + } + } -function createNumberConversion(bitLength, typeOpts) { - if (!typeOpts.unsigned) { - --bitLength; - } - const lowerBound = typeOpts.unsigned ? 0 : -Math.pow(2, bitLength); - const upperBound = Math.pow(2, bitLength) - 1; + if (!isASCIIDigit(input[pointer])) { + return failure; + } - const moduloVal = typeOpts.moduloBitLength ? Math.pow(2, typeOpts.moduloBitLength) : Math.pow(2, bitLength); - const moduloBound = typeOpts.moduloBitLength ? Math.pow(2, typeOpts.moduloBitLength - 1) : Math.pow(2, bitLength - 1); + while (isASCIIDigit(input[pointer])) { + const number = parseInt(at(input, pointer)); + if (ipv4Piece === null) { + ipv4Piece = number; + } else if (ipv4Piece === 0) { + return failure; + } else { + ipv4Piece = ipv4Piece * 10 + number; + } + if (ipv4Piece > 255) { + return failure; + } + ++pointer; + } - return function(V, opts) { - if (!opts) opts = {}; + address[pieceIndex] = address[pieceIndex] * 0x100 + ipv4Piece; - let x = +V; + ++numbersSeen; - if (opts.enforceRange) { - if (!Number.isFinite(x)) { - throw new TypeError("Argument is not a finite number"); + if (numbersSeen === 2 || numbersSeen === 4) { + ++pieceIndex; } + } - x = sign(x) * Math.floor(Math.abs(x)); - if (x < lowerBound || x > upperBound) { - throw new TypeError("Argument is not in byte range"); - } + if (numbersSeen !== 4) { + return failure; + } - return x; + break; + } else if (input[pointer] === 58) { + ++pointer; + if (input[pointer] === undefined) { + return failure; + } + } else if (input[pointer] !== undefined) { + return failure; } - if (!isNaN(x) && opts.clamp) { - x = evenRound(x); + address[pieceIndex] = value; + ++pieceIndex; + } - if (x < lowerBound) x = lowerBound; - if (x > upperBound) x = upperBound; - return x; + if (compress !== null) { + let swaps = pieceIndex - compress; + pieceIndex = 7; + while (pieceIndex !== 0 && swaps > 0) { + const temp = address[compress + swaps - 1]; + address[compress + swaps - 1] = address[pieceIndex]; + address[pieceIndex] = temp; + --pieceIndex; + --swaps; } + } else if (compress === null && pieceIndex !== 8) { + return failure; + } - if (!Number.isFinite(x) || x === 0) { - return 0; + return address; + } + + function serializeIPv6(address) { + let output = ""; + const seqResult = findLongestZeroSequence(address); + const compress = seqResult.idx; + let ignore0 = false; + + for (let pieceIndex = 0; pieceIndex <= 7; ++pieceIndex) { + if (ignore0 && address[pieceIndex] === 0) { + continue; + } else if (ignore0) { + ignore0 = false; } - x = sign(x) * Math.floor(Math.abs(x)); - x = x % moduloVal; + if (compress === pieceIndex) { + const separator = pieceIndex === 0 ? "::" : ":"; + output += separator; + ignore0 = true; + continue; + } - if (!typeOpts.unsigned && x >= moduloBound) { - return x - moduloVal; - } else if (typeOpts.unsigned) { - if (x < 0) { - x += moduloVal; - } else if (x === -0) { // don't return negative zero - return 0; - } + output += address[pieceIndex].toString(16); + + if (pieceIndex !== 7) { + output += ":"; } + } - return x; + return output; } -} - -conversions["void"] = function () { - return undefined; -}; -conversions["boolean"] = function (val) { - return !!val; -}; + function parseHost(input, isSpecialArg) { + if (input[0] === "[") { + if (input[input.length - 1] !== "]") { + return failure; + } -conversions["byte"] = createNumberConversion(8, { unsigned: false }); -conversions["octet"] = createNumberConversion(8, { unsigned: true }); + return parseIPv6(input.substring(1, input.length - 1)); + } -conversions["short"] = createNumberConversion(16, { unsigned: false }); -conversions["unsigned short"] = createNumberConversion(16, { unsigned: true }); + if (!isSpecialArg) { + return parseOpaqueHost(input); + } -conversions["long"] = createNumberConversion(32, { unsigned: false }); -conversions["unsigned long"] = createNumberConversion(32, { unsigned: true }); + const domain = utf8PercentDecode(input); + const asciiDomain = tr46.toASCII(domain, false, tr46.PROCESSING_OPTIONS.NONTRANSITIONAL, false); + if (asciiDomain === null) { + return failure; + } -conversions["long long"] = createNumberConversion(32, { unsigned: false, moduloBitLength: 64 }); -conversions["unsigned long long"] = createNumberConversion(32, { unsigned: true, moduloBitLength: 64 }); + if (containsForbiddenHostCodePoint(asciiDomain)) { + return failure; + } -conversions["double"] = function (V) { - const x = +V; + const ipv4Host = parseIPv4(asciiDomain); + if (typeof ipv4Host === "number" || ipv4Host === failure) { + return ipv4Host; + } - if (!Number.isFinite(x)) { - throw new TypeError("Argument is not a finite floating-point value"); + return asciiDomain; } - return x; -}; - -conversions["unrestricted double"] = function (V) { - const x = +V; + function parseOpaqueHost(input) { + if (containsForbiddenHostCodePointExcludingPercent(input)) { + return failure; + } - if (isNaN(x)) { - throw new TypeError("Argument is NaN"); + let output = ""; + const decoded = punycode.ucs2.decode(input); + for (let i = 0; i < decoded.length; ++i) { + output += percentEncodeChar(decoded[i], isC0ControlPercentEncode); + } + return output; } - return x; -}; + function findLongestZeroSequence(arr) { + let maxIdx = null; + let maxLen = 1; // only find elements > 1 + let currStart = null; + let currLen = 0; -// not quite valid, but good enough for JS -conversions["float"] = conversions["double"]; -conversions["unrestricted float"] = conversions["unrestricted double"]; + for (let i = 0; i < arr.length; ++i) { + if (arr[i] !== 0) { + if (currLen > maxLen) { + maxIdx = currStart; + maxLen = currLen; + } -conversions["DOMString"] = function (V, opts) { - if (!opts) opts = {}; + currStart = null; + currLen = 0; + } else { + if (currStart === null) { + currStart = i; + } + ++currLen; + } + } - if (opts.treatNullAsEmptyString && V === null) { - return ""; + // if trailing zeros + if (currLen > maxLen) { + maxIdx = currStart; + maxLen = currLen; + } + + return {idx : maxIdx, len : maxLen}; } - return String(V); -}; + function serializeHost(host) { + if (typeof host === "number") { + return serializeIPv4(host); + } -conversions["ByteString"] = function (V, opts) { - const x = String(V); - let c = undefined; - for (let i = 0; (c = x.codePointAt(i)) !== undefined; ++i) { - if (c > 255) { - throw new TypeError("Argument is not a valid bytestring"); - } + // IPv6 serializer + if (host instanceof Array) { + return "[" + serializeIPv6(host) + "]"; + } + + return host; } - return x; -}; + function trimControlChars(url) { + return url.replace(/^[\u0000-\u001F\u0020]+|[\u0000-\u001F\u0020]+$/g, ""); + } -conversions["USVString"] = function (V) { - const S = String(V); - const n = S.length; - const U = []; - for (let i = 0; i < n; ++i) { - const c = S.charCodeAt(i); - if (c < 0xD800 || c > 0xDFFF) { - U.push(String.fromCodePoint(c)); - } else if (0xDC00 <= c && c <= 0xDFFF) { - U.push(String.fromCodePoint(0xFFFD)); - } else { - if (i === n - 1) { - U.push(String.fromCodePoint(0xFFFD)); - } else { - const d = S.charCodeAt(i + 1); - if (0xDC00 <= d && d <= 0xDFFF) { - const a = c & 0x3FF; - const b = d & 0x3FF; - U.push(String.fromCodePoint((2 << 15) + (2 << 9) * a + b)); - ++i; - } else { - U.push(String.fromCodePoint(0xFFFD)); - } - } - } + function trimTabAndNewline(url) { + return url.replace(/\u0009|\u000A|\u000D/g, ""); } - return U.join(''); -}; + function shortenPath(url) { + const path = url.path; + if (path.length === 0) { + return; + } + if (url.scheme === "file" && path.length === 1 && isNormalizedWindowsDriveLetter(path[0])) { + return; + } -conversions["Date"] = function (V, opts) { - if (!(V instanceof Date)) { - throw new TypeError("Argument is not a Date object"); + path.pop(); } - if (isNaN(V)) { - return undefined; + + function includesCredentials(url) { + return url.username !== "" || url.password !== ""; } - return V; -}; + function cannotHaveAUsernamePasswordPort(url) { + return url.host === null || url.host === "" || url.cannotBeABaseURL || url.scheme === "file"; + } -conversions["RegExp"] = function (V, opts) { - if (!(V instanceof RegExp)) { - V = new RegExp(V); + function isNormalizedWindowsDriveLetter(string) { + return /^[A-Za-z]:$/.test(string); } - return V; -}; + function URLStateMachine(input, base, encodingOverride, url, stateOverride) { + this.pointer = 0; + this.input = input; + this.base = base || null; + this.encodingOverride = encodingOverride || "utf-8"; + this.stateOverride = stateOverride; + this.url = url; + this.failure = false; + this.parseError = false; + if (!this.url) { + this.url = { + scheme : "", + username : "", + password : "", + host : null, + port : null, + path : [], + query : null, + fragment : null, -/***/ }), + cannotBeABaseURL : false + }; -/***/ 7537: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + const res = trimControlChars(this.input); + if (res !== this.input) { + this.parseError = true; + } + this.input = res; + } + + const res = trimTabAndNewline(this.input); + if (res !== this.input) { + this.parseError = true; + } + this.input = res; -"use strict"; + this.state = stateOverride || "scheme start"; -const usm = __nccwpck_require__(2158); + this.buffer = ""; + this.atFlag = false; + this.arrFlag = false; + this.passwordTokenSeenFlag = false; -exports.implementation = class URLImpl { - constructor(constructorArgs) { - const url = constructorArgs[0]; - const base = constructorArgs[1]; + this.input = punycode.ucs2.decode(this.input); - let parsedBase = null; - if (base !== undefined) { - parsedBase = usm.basicURLParse(base); - if (parsedBase === "failure") { - throw new TypeError("Invalid base URL"); + for (; this.pointer <= this.input.length; ++this.pointer) { + const c = this.input[this.pointer]; + const cStr = isNaN(c) ? undefined : String.fromCodePoint(c); + + // exec state machine + const ret = this["parse " + this.state](c, cStr); + if (!ret) { + break; // terminate algorithm + } else if (ret === failure) { + this.failure = true; + break; + } } } - const parsedURL = usm.basicURLParse(url, { baseURL: parsedBase }); - if (parsedURL === "failure") { - throw new TypeError("Invalid URL"); - } + URLStateMachine.prototype["parse scheme start"] = function parseSchemeStart(c, cStr) { + if (isASCIIAlpha(c)) { + this.buffer += cStr.toLowerCase(); + this.state = "scheme"; + } else if (!this.stateOverride) { + this.state = "no scheme"; + --this.pointer; + } else { + this.parseError = true; + return failure; + } - this._url = parsedURL; + return true; + }; - // TODO: query stuff - } + URLStateMachine.prototype["parse scheme"] = function parseScheme(c, cStr) { + if (isASCIIAlphanumeric(c) || c === 43 || c === 45 || c === 46) { + this.buffer += cStr.toLowerCase(); + } else if (c === 58) { + if (this.stateOverride) { + if (isSpecial(this.url) && !isSpecialScheme(this.buffer)) { + return false; + } - get href() { - return usm.serializeURL(this._url); - } + if (!isSpecial(this.url) && isSpecialScheme(this.buffer)) { + return false; + } - set href(v) { - const parsedURL = usm.basicURLParse(v); - if (parsedURL === "failure") { - throw new TypeError("Invalid URL"); - } + if ((includesCredentials(this.url) || this.url.port !== null) && this.buffer === "file") { + return false; + } - this._url = parsedURL; - } + if (this.url.scheme === "file" && (this.url.host === "" || this.url.host === null)) { + return false; + } + } + this.url.scheme = this.buffer; + this.buffer = ""; + if (this.stateOverride) { + return false; + } + if (this.url.scheme === "file") { + if (this.input[this.pointer + 1] !== 47 || this.input[this.pointer + 2] !== 47) { + this.parseError = true; + } + this.state = "file"; + } else if (isSpecial(this.url) && this.base !== null && this.base.scheme === this.url.scheme) { + this.state = "special relative or authority"; + } else if (isSpecial(this.url)) { + this.state = "special authority slashes"; + } else if (this.input[this.pointer + 1] === 47) { + this.state = "path or authority"; + ++this.pointer; + } else { + this.url.cannotBeABaseURL = true; + this.url.path.push(""); + this.state = "cannot-be-a-base-URL path"; + } + } else if (!this.stateOverride) { + this.buffer = ""; + this.state = "no scheme"; + this.pointer = -1; + } else { + this.parseError = true; + return failure; + } - get origin() { - return usm.serializeURLOrigin(this._url); - } + return true; + }; - get protocol() { - return this._url.scheme + ":"; - } + URLStateMachine.prototype["parse no scheme"] = function parseNoScheme(c) { + if (this.base === null || (this.base.cannotBeABaseURL && c !== 35)) { + return failure; + } else if (this.base.cannotBeABaseURL && c === 35) { + this.url.scheme = this.base.scheme; + this.url.path = this.base.path.slice(); + this.url.query = this.base.query; + this.url.fragment = ""; + this.url.cannotBeABaseURL = true; + this.state = "fragment"; + } else if (this.base.scheme === "file") { + this.state = "file"; + --this.pointer; + } else { + this.state = "relative"; + --this.pointer; + } - set protocol(v) { - usm.basicURLParse(v + ":", { url: this._url, stateOverride: "scheme start" }); - } + return true; + }; - get username() { - return this._url.username; - } + URLStateMachine.prototype["parse special relative or authority"] = function parseSpecialRelativeOrAuthority(c) { + if (c === 47 && this.input[this.pointer + 1] === 47) { + this.state = "special authority ignore slashes"; + ++this.pointer; + } else { + this.parseError = true; + this.state = "relative"; + --this.pointer; + } - set username(v) { - if (usm.cannotHaveAUsernamePasswordPort(this._url)) { - return; - } + return true; + }; - usm.setTheUsername(this._url, v); - } + URLStateMachine.prototype["parse path or authority"] = function parsePathOrAuthority(c) { + if (c === 47) { + this.state = "authority"; + } else { + this.state = "path"; + --this.pointer; + } - get password() { - return this._url.password; - } + return true; + }; - set password(v) { - if (usm.cannotHaveAUsernamePasswordPort(this._url)) { - return; - } + URLStateMachine.prototype["parse relative"] = function parseRelative(c) { + this.url.scheme = this.base.scheme; + if (isNaN(c)) { + this.url.username = this.base.username; + this.url.password = this.base.password; + this.url.host = this.base.host; + this.url.port = this.base.port; + this.url.path = this.base.path.slice(); + this.url.query = this.base.query; + } else if (c === 47) { + this.state = "relative slash"; + } else if (c === 63) { + this.url.username = this.base.username; + this.url.password = this.base.password; + this.url.host = this.base.host; + this.url.port = this.base.port; + this.url.path = this.base.path.slice(); + this.url.query = ""; + this.state = "query"; + } else if (c === 35) { + this.url.username = this.base.username; + this.url.password = this.base.password; + this.url.host = this.base.host; + this.url.port = this.base.port; + this.url.path = this.base.path.slice(); + this.url.query = this.base.query; + this.url.fragment = ""; + this.state = "fragment"; + } else if (isSpecial(this.url) && c === 92) { + this.parseError = true; + this.state = "relative slash"; + } else { + this.url.username = this.base.username; + this.url.password = this.base.password; + this.url.host = this.base.host; + this.url.port = this.base.port; + this.url.path = this.base.path.slice(0, this.base.path.length - 1); + + this.state = "path"; + --this.pointer; + } - usm.setThePassword(this._url, v); - } + return true; + }; - get host() { - const url = this._url; + URLStateMachine.prototype["parse relative slash"] = function parseRelativeSlash(c) { + if (isSpecial(this.url) && (c === 47 || c === 92)) { + if (c === 92) { + this.parseError = true; + } + this.state = "special authority ignore slashes"; + } else if (c === 47) { + this.state = "authority"; + } else { + this.url.username = this.base.username; + this.url.password = this.base.password; + this.url.host = this.base.host; + this.url.port = this.base.port; + this.state = "path"; + --this.pointer; + } - if (url.host === null) { - return ""; - } + return true; + }; - if (url.port === null) { - return usm.serializeHost(url.host); - } + URLStateMachine.prototype["parse special authority slashes"] = function parseSpecialAuthoritySlashes(c) { + if (c === 47 && this.input[this.pointer + 1] === 47) { + this.state = "special authority ignore slashes"; + ++this.pointer; + } else { + this.parseError = true; + this.state = "special authority ignore slashes"; + --this.pointer; + } - return usm.serializeHost(url.host) + ":" + usm.serializeInteger(url.port); - } + return true; + }; - set host(v) { - if (this._url.cannotBeABaseURL) { - return; - } + URLStateMachine.prototype["parse special authority ignore slashes"] = function parseSpecialAuthorityIgnoreSlashes( + c) { + if (c !== 47 && c !== 92) { + this.state = "authority"; + --this.pointer; + } else { + this.parseError = true; + } - usm.basicURLParse(v, { url: this._url, stateOverride: "host" }); - } + return true; + }; - get hostname() { - if (this._url.host === null) { - return ""; - } + URLStateMachine.prototype["parse authority"] = function parseAuthority(c, cStr) { + if (c === 64) { + this.parseError = true; + if (this.atFlag) { + this.buffer = "%40" + this.buffer; + } + this.atFlag = true; - return usm.serializeHost(this._url.host); - } + // careful, this is based on buffer and has its own pointer (this.pointer != pointer) and inner chars + const len = countSymbols(this.buffer); + for (let pointer = 0; pointer < len; ++pointer) { + const codePoint = this.buffer.codePointAt(pointer); - set hostname(v) { - if (this._url.cannotBeABaseURL) { - return; - } + if (codePoint === 58 && !this.passwordTokenSeenFlag) { + this.passwordTokenSeenFlag = true; + continue; + } + const encodedCodePoints = percentEncodeChar(codePoint, isUserinfoPercentEncode); + if (this.passwordTokenSeenFlag) { + this.url.password += encodedCodePoints; + } else { + this.url.username += encodedCodePoints; + } + } + this.buffer = ""; + } else if (isNaN(c) || c === 47 || c === 63 || c === 35 || (isSpecial(this.url) && c === 92)) { + if (this.atFlag && this.buffer === "") { + this.parseError = true; + return failure; + } + this.pointer -= countSymbols(this.buffer) + 1; + this.buffer = ""; + this.state = "host"; + } else { + this.buffer += cStr; + } - usm.basicURLParse(v, { url: this._url, stateOverride: "hostname" }); - } + return true; + }; - get port() { - if (this._url.port === null) { - return ""; - } + URLStateMachine.prototype["parse hostname"] = + URLStateMachine.prototype["parse host"] = function parseHostName(c, cStr) { + if (this.stateOverride && this.url.scheme === "file") { + --this.pointer; + this.state = "file host"; + } else if (c === 58 && !this.arrFlag) { + if (this.buffer === "") { + this.parseError = true; + return failure; + } + + const host = parseHost(this.buffer, isSpecial(this.url)); + if (host === failure) { + return failure; + } + + this.url.host = host; + this.buffer = ""; + this.state = "port"; + if (this.stateOverride === "hostname") { + return false; + } + } else if (isNaN(c) || c === 47 || c === 63 || c === 35 || (isSpecial(this.url) && c === 92)) { + --this.pointer; + if (isSpecial(this.url) && this.buffer === "") { + this.parseError = true; + return failure; + } else if ( + this.stateOverride && this.buffer === "" && (includesCredentials(this.url) || this.url.port !== null)) { + this.parseError = true; + return false; + } - return usm.serializeInteger(this._url.port); - } + const host = parseHost(this.buffer, isSpecial(this.url)); + if (host === failure) { + return failure; + } - set port(v) { - if (usm.cannotHaveAUsernamePasswordPort(this._url)) { - return; - } + this.url.host = host; + this.buffer = ""; + this.state = "path start"; + if (this.stateOverride) { + return false; + } + } else { + if (c === 91) { + this.arrFlag = true; + } else if (c === 93) { + this.arrFlag = false; + } + this.buffer += cStr; + } - if (v === "") { - this._url.port = null; - } else { - usm.basicURLParse(v, { url: this._url, stateOverride: "port" }); - } - } + return true; + }; - get pathname() { - if (this._url.cannotBeABaseURL) { - return this._url.path[0]; - } + URLStateMachine.prototype["parse port"] = function parsePort(c, cStr) { + if (isASCIIDigit(c)) { + this.buffer += cStr; + } else if ( + isNaN(c) || c === 47 || c === 63 || c === 35 || (isSpecial(this.url) && c === 92) || this.stateOverride) { + if (this.buffer !== "") { + const port = parseInt(this.buffer); + if (port > Math.pow(2, 16) - 1) { + this.parseError = true; + return failure; + } + this.url.port = port === defaultPort(this.url.scheme) ? null : port; + this.buffer = ""; + } + if (this.stateOverride) { + return false; + } + this.state = "path start"; + --this.pointer; + } else { + this.parseError = true; + return failure; + } - if (this._url.path.length === 0) { - return ""; - } + return true; + }; - return "/" + this._url.path.join("/"); - } + const fileOtherwiseCodePoints = new Set([ 47, 92, 63, 35 ]); - set pathname(v) { - if (this._url.cannotBeABaseURL) { - return; - } + URLStateMachine.prototype["parse file"] = function parseFile(c) { + this.url.scheme = "file"; - this._url.path = []; - usm.basicURLParse(v, { url: this._url, stateOverride: "path start" }); - } + if (c === 47 || c === 92) { + if (c === 92) { + this.parseError = true; + } + this.state = "file slash"; + } else if (this.base !== null && this.base.scheme === "file") { + if (isNaN(c)) { + this.url.host = this.base.host; + this.url.path = this.base.path.slice(); + this.url.query = this.base.query; + } else if (c === 63) { + this.url.host = this.base.host; + this.url.path = this.base.path.slice(); + this.url.query = ""; + this.state = "query"; + } else if (c === 35) { + this.url.host = this.base.host; + this.url.path = this.base.path.slice(); + this.url.query = this.base.query; + this.url.fragment = ""; + this.state = "fragment"; + } else { + if (this.input.length - this.pointer - 1 === 0 || // remaining consists of 0 code points + !isWindowsDriveLetterCodePoints(c, this.input[this.pointer + 1]) || + (this.input.length - this.pointer - 1 >= 2 && // remaining has at least 2 code points + !fileOtherwiseCodePoints.has(this.input[this.pointer + 2]))) { + this.url.host = this.base.host; + this.url.path = this.base.path.slice(); + shortenPath(this.url); + } else { + this.parseError = true; + } - get search() { - if (this._url.query === null || this._url.query === "") { - return ""; - } + this.state = "path"; + --this.pointer; + } + } else { + this.state = "path"; + --this.pointer; + } - return "?" + this._url.query; - } + return true; + }; - set search(v) { - // TODO: query stuff + URLStateMachine.prototype["parse file slash"] = function parseFileSlash(c) { + if (c === 47 || c === 92) { + if (c === 92) { + this.parseError = true; + } + this.state = "file host"; + } else { + if (this.base !== null && this.base.scheme === "file") { + if (isNormalizedWindowsDriveLetterString(this.base.path[0])) { + this.url.path.push(this.base.path[0]); + } else { + this.url.host = this.base.host; + } + } + this.state = "path"; + --this.pointer; + } - const url = this._url; + return true; + }; - if (v === "") { - url.query = null; - return; - } + URLStateMachine.prototype["parse file host"] = function parseFileHost(c, cStr) { + if (isNaN(c) || c === 47 || c === 92 || c === 63 || c === 35) { + --this.pointer; + if (!this.stateOverride && isWindowsDriveLetterString(this.buffer)) { + this.parseError = true; + this.state = "path"; + } else if (this.buffer === "") { + this.url.host = ""; + if (this.stateOverride) { + return false; + } + this.state = "path start"; + } else { + let host = parseHost(this.buffer, isSpecial(this.url)); + if (host === failure) { + return failure; + } + if (host === "localhost") { + host = ""; + } + this.url.host = host; - const input = v[0] === "?" ? v.substring(1) : v; - url.query = ""; - usm.basicURLParse(input, { url, stateOverride: "query" }); - } + if (this.stateOverride) { + return false; + } - get hash() { - if (this._url.fragment === null || this._url.fragment === "") { - return ""; - } + this.buffer = ""; + this.state = "path start"; + } + } else { + this.buffer += cStr; + } - return "#" + this._url.fragment; - } + return true; + }; - set hash(v) { - if (v === "") { - this._url.fragment = null; - return; - } + URLStateMachine.prototype["parse path start"] = function parsePathStart(c) { + if (isSpecial(this.url)) { + if (c === 92) { + this.parseError = true; + } + this.state = "path"; - const input = v[0] === "#" ? v.substring(1) : v; - this._url.fragment = ""; - usm.basicURLParse(input, { url: this._url, stateOverride: "fragment" }); - } + if (c !== 47 && c !== 92) { + --this.pointer; + } + } else if (!this.stateOverride && c === 63) { + this.url.query = ""; + this.state = "query"; + } else if (!this.stateOverride && c === 35) { + this.url.fragment = ""; + this.state = "fragment"; + } else if (c !== undefined) { + this.state = "path"; + if (c !== 47) { + --this.pointer; + } + } - toJSON() { - return this.href; - } -}; + return true; + }; + URLStateMachine.prototype["parse path"] = function parsePath(c) { + if (isNaN(c) || c === 47 || (isSpecial(this.url) && c === 92) || + (!this.stateOverride && (c === 63 || c === 35))) { + if (isSpecial(this.url) && c === 92) { + this.parseError = true; + } -/***/ }), + if (isDoubleDot(this.buffer)) { + shortenPath(this.url); + if (c !== 47 && !(isSpecial(this.url) && c === 92)) { + this.url.path.push(""); + } + } else if (isSingleDot(this.buffer) && c !== 47 && !(isSpecial(this.url) && c === 92)) { + this.url.path.push(""); + } else if (!isSingleDot(this.buffer)) { + if (this.url.scheme === "file" && this.url.path.length === 0 && isWindowsDriveLetterString(this.buffer)) { + if (this.url.host !== "" && this.url.host !== null) { + this.parseError = true; + this.url.host = ""; + } + this.buffer = this.buffer[0] + ":"; + } + this.url.path.push(this.buffer); + } + this.buffer = ""; + if (this.url.scheme === "file" && (c === undefined || c === 63 || c === 35)) { + while (this.url.path.length > 1 && this.url.path[0] === "") { + this.parseError = true; + this.url.path.shift(); + } + } + if (c === 63) { + this.url.query = ""; + this.state = "query"; + } + if (c === 35) { + this.url.fragment = ""; + this.state = "fragment"; + } + } else { + // TODO: If c is not a URL code point and not "%", parse error. -/***/ 3394: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + if (c === 37 && (!isASCIIHex(this.input[this.pointer + 1]) || !isASCIIHex(this.input[this.pointer + 2]))) { + this.parseError = true; + } -"use strict"; + this.buffer += percentEncodeChar(c, isPathPercentEncode); + } + return true; + }; -const conversions = __nccwpck_require__(4886); -const utils = __nccwpck_require__(3185); -const Impl = __nccwpck_require__(7537); + URLStateMachine.prototype["parse cannot-be-a-base-URL path"] = function parseCannotBeABaseURLPath(c) { + if (c === 63) { + this.url.query = ""; + this.state = "query"; + } else if (c === 35) { + this.url.fragment = ""; + this.state = "fragment"; + } else { + // TODO: Add: not a URL code point + if (!isNaN(c) && c !== 37) { + this.parseError = true; + } -const impl = utils.implSymbol; + if (c === 37 && (!isASCIIHex(this.input[this.pointer + 1]) || !isASCIIHex(this.input[this.pointer + 2]))) { + this.parseError = true; + } -function URL(url) { - if (!this || this[impl] || !(this instanceof URL)) { - throw new TypeError("Failed to construct 'URL': Please use the 'new' operator, this DOM object constructor cannot be called as a function."); - } - if (arguments.length < 1) { - throw new TypeError("Failed to construct 'URL': 1 argument required, but only " + arguments.length + " present."); - } - const args = []; - for (let i = 0; i < arguments.length && i < 2; ++i) { - args[i] = arguments[i]; - } - args[0] = conversions["USVString"](args[0]); - if (args[1] !== undefined) { - args[1] = conversions["USVString"](args[1]); - } + if (!isNaN(c)) { + this.url.path[0] = this.url.path[0] + percentEncodeChar(c, isC0ControlPercentEncode); + } + } - module.exports.setup(this, args); -} + return true; + }; -URL.prototype.toJSON = function toJSON() { - if (!this || !module.exports.is(this)) { - throw new TypeError("Illegal invocation"); - } - const args = []; - for (let i = 0; i < arguments.length && i < 0; ++i) { - args[i] = arguments[i]; - } - return this[impl].toJSON.apply(this[impl], args); -}; -Object.defineProperty(URL.prototype, "href", { - get() { - return this[impl].href; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].href = V; - }, - enumerable: true, - configurable: true -}); + URLStateMachine.prototype["parse query"] = function parseQuery(c, cStr) { + if (isNaN(c) || (!this.stateOverride && c === 35)) { + if (!isSpecial(this.url) || this.url.scheme === "ws" || this.url.scheme === "wss") { + this.encodingOverride = "utf-8"; + } -URL.prototype.toString = function () { - if (!this || !module.exports.is(this)) { - throw new TypeError("Illegal invocation"); - } - return this.href; -}; + const buffer = new Buffer(this.buffer); // TODO: Use encoding override instead + for (let i = 0; i < buffer.length; ++i) { + if (buffer[i] < 0x21 || buffer[i] > 0x7E || buffer[i] === 0x22 || buffer[i] === 0x23 || buffer[i] === 0x3C || + buffer[i] === 0x3E) { + this.url.query += percentEncode(buffer[i]); + } else { + this.url.query += String.fromCodePoint(buffer[i]); + } + } -Object.defineProperty(URL.prototype, "origin", { - get() { - return this[impl].origin; - }, - enumerable: true, - configurable: true -}); + this.buffer = ""; + if (c === 35) { + this.url.fragment = ""; + this.state = "fragment"; + } + } else { + // TODO: If c is not a URL code point and not "%", parse error. + if (c === 37 && (!isASCIIHex(this.input[this.pointer + 1]) || !isASCIIHex(this.input[this.pointer + 2]))) { + this.parseError = true; + } -Object.defineProperty(URL.prototype, "protocol", { - get() { - return this[impl].protocol; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].protocol = V; - }, - enumerable: true, - configurable: true -}); + this.buffer += cStr; + } -Object.defineProperty(URL.prototype, "username", { - get() { - return this[impl].username; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].username = V; - }, - enumerable: true, - configurable: true -}); + return true; + }; -Object.defineProperty(URL.prototype, "password", { - get() { - return this[impl].password; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].password = V; - }, - enumerable: true, - configurable: true -}); + URLStateMachine.prototype["parse fragment"] = function parseFragment(c) { + if (isNaN(c)) { // do nothing + } else if (c === 0x0) { + this.parseError = true; + } else { + // TODO: If c is not a URL code point and not "%", parse error. + if (c === 37 && (!isASCIIHex(this.input[this.pointer + 1]) || !isASCIIHex(this.input[this.pointer + 2]))) { + this.parseError = true; + } -Object.defineProperty(URL.prototype, "host", { - get() { - return this[impl].host; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].host = V; - }, - enumerable: true, - configurable: true -}); + this.url.fragment += percentEncodeChar(c, isC0ControlPercentEncode); + } -Object.defineProperty(URL.prototype, "hostname", { - get() { - return this[impl].hostname; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].hostname = V; - }, - enumerable: true, - configurable: true -}); + return true; + }; -Object.defineProperty(URL.prototype, "port", { - get() { - return this[impl].port; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].port = V; - }, - enumerable: true, - configurable: true -}); + function serializeURL(url, excludeFragment) { + let output = url.scheme + ":"; + if (url.host !== null) { + output += "//"; -Object.defineProperty(URL.prototype, "pathname", { - get() { - return this[impl].pathname; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].pathname = V; - }, - enumerable: true, - configurable: true -}); + if (url.username !== "" || url.password !== "") { + output += url.username; + if (url.password !== "") { + output += ":" + url.password; + } + output += "@"; + } -Object.defineProperty(URL.prototype, "search", { - get() { - return this[impl].search; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].search = V; - }, - enumerable: true, - configurable: true -}); + output += serializeHost(url.host); -Object.defineProperty(URL.prototype, "hash", { - get() { - return this[impl].hash; - }, - set(V) { - V = conversions["USVString"](V); - this[impl].hash = V; - }, - enumerable: true, - configurable: true -}); + if (url.port !== null) { + output += ":" + url.port; + } + } else if (url.host === null && url.scheme === "file") { + output += "//"; + } + if (url.cannotBeABaseURL) { + output += url.path[0]; + } else { + for (const string of url.path) { + output += "/" + string; + } + } -module.exports = { - is(obj) { - return !!obj && obj[impl] instanceof Impl.implementation; - }, - create(constructorArgs, privateData) { - let obj = Object.create(URL.prototype); - this.setup(obj, constructorArgs, privateData); - return obj; - }, - setup(obj, constructorArgs, privateData) { - if (!privateData) privateData = {}; - privateData.wrapper = obj; + if (url.query !== null) { + output += "?" + url.query; + } - obj[impl] = new Impl.implementation(constructorArgs, privateData); - obj[impl][utils.wrapperSymbol] = obj; - }, - interface: URL, - expose: { - Window: { URL: URL }, - Worker: { URL: URL } - } -}; + if (!excludeFragment && url.fragment !== null) { + output += "#" + url.fragment; + } + return output; + } + function serializeOrigin(tuple) { + let result = tuple.scheme + "://"; + result += serializeHost(tuple.host); -/***/ }), + if (tuple.port !== null) { + result += ":" + tuple.port; + } -/***/ 8665: -/***/ ((__unused_webpack_module, exports, __nccwpck_require__) => { + return result; + } -"use strict"; + module.exports.serializeURL = serializeURL; + module.exports.serializeURLOrigin = function(url) { + // https://url.spec.whatwg.org/#concept-url-origin + switch (url.scheme) { + case "blob": + try { + return module.exports.serializeURLOrigin(module.exports.parseURL(url.path[0])); + } catch (e) { + // serializing an opaque origin returns "null" + return "null"; + } + case "ftp": + case "gopher": + case "http": + case "https": + case "ws": + case "wss": + return serializeOrigin({scheme : url.scheme, host : url.host, port : url.port}); + case "file": + // spec says "exercise to the reader", chrome says "file://" + return "file://"; + default: + // serializing an opaque origin returns "null" + return "null"; + } + }; -exports.URL = __nccwpck_require__(3394)["interface"]; -exports.serializeURL = __nccwpck_require__(2158).serializeURL; -exports.serializeURLOrigin = __nccwpck_require__(2158).serializeURLOrigin; -exports.basicURLParse = __nccwpck_require__(2158).basicURLParse; -exports.setTheUsername = __nccwpck_require__(2158).setTheUsername; -exports.setThePassword = __nccwpck_require__(2158).setThePassword; -exports.serializeHost = __nccwpck_require__(2158).serializeHost; -exports.serializeInteger = __nccwpck_require__(2158).serializeInteger; -exports.parseURL = __nccwpck_require__(2158).parseURL; + module.exports.basicURLParse = function(input, options) { + if (options === undefined) { + options = {}; + } + const usm = + new URLStateMachine(input, options.baseURL, options.encodingOverride, options.url, options.stateOverride); + if (usm.failure) { + return "failure"; + } -/***/ }), + return usm.url; + }; -/***/ 2158: -/***/ ((module, __unused_webpack_exports, __nccwpck_require__) => { + module.exports.setTheUsername = function(url, username) { + url.username = ""; + const decoded = punycode.ucs2.decode(username); + for (let i = 0; i < decoded.length; ++i) { + url.username += percentEncodeChar(decoded[i], isUserinfoPercentEncode); + } + }; -"use strict"; - -const punycode = __nccwpck_require__(5477); -const tr46 = __nccwpck_require__(4256); - -const specialSchemes = { - ftp: 21, - file: null, - gopher: 70, - http: 80, - https: 443, - ws: 80, - wss: 443 -}; - -const failure = Symbol("failure"); - -function countSymbols(str) { - return punycode.ucs2.decode(str).length; -} - -function at(input, idx) { - const c = input[idx]; - return isNaN(c) ? undefined : String.fromCodePoint(c); -} - -function isASCIIDigit(c) { - return c >= 0x30 && c <= 0x39; -} - -function isASCIIAlpha(c) { - return (c >= 0x41 && c <= 0x5A) || (c >= 0x61 && c <= 0x7A); -} - -function isASCIIAlphanumeric(c) { - return isASCIIAlpha(c) || isASCIIDigit(c); -} - -function isASCIIHex(c) { - return isASCIIDigit(c) || (c >= 0x41 && c <= 0x46) || (c >= 0x61 && c <= 0x66); -} - -function isSingleDot(buffer) { - return buffer === "." || buffer.toLowerCase() === "%2e"; -} - -function isDoubleDot(buffer) { - buffer = buffer.toLowerCase(); - return buffer === ".." || buffer === "%2e." || buffer === ".%2e" || buffer === "%2e%2e"; -} - -function isWindowsDriveLetterCodePoints(cp1, cp2) { - return isASCIIAlpha(cp1) && (cp2 === 58 || cp2 === 124); -} - -function isWindowsDriveLetterString(string) { - return string.length === 2 && isASCIIAlpha(string.codePointAt(0)) && (string[1] === ":" || string[1] === "|"); -} - -function isNormalizedWindowsDriveLetterString(string) { - return string.length === 2 && isASCIIAlpha(string.codePointAt(0)) && string[1] === ":"; -} - -function containsForbiddenHostCodePoint(string) { - return string.search(/\u0000|\u0009|\u000A|\u000D|\u0020|#|%|\/|:|\?|@|\[|\\|\]/) !== -1; -} - -function containsForbiddenHostCodePointExcludingPercent(string) { - return string.search(/\u0000|\u0009|\u000A|\u000D|\u0020|#|\/|:|\?|@|\[|\\|\]/) !== -1; -} - -function isSpecialScheme(scheme) { - return specialSchemes[scheme] !== undefined; -} - -function isSpecial(url) { - return isSpecialScheme(url.scheme); -} - -function defaultPort(scheme) { - return specialSchemes[scheme]; -} - -function percentEncode(c) { - let hex = c.toString(16).toUpperCase(); - if (hex.length === 1) { - hex = "0" + hex; - } - - return "%" + hex; -} - -function utf8PercentEncode(c) { - const buf = new Buffer(c); - - let str = ""; - - for (let i = 0; i < buf.length; ++i) { - str += percentEncode(buf[i]); - } - - return str; -} - -function utf8PercentDecode(str) { - const input = new Buffer(str); - const output = []; - for (let i = 0; i < input.length; ++i) { - if (input[i] !== 37) { - output.push(input[i]); - } else if (input[i] === 37 && isASCIIHex(input[i + 1]) && isASCIIHex(input[i + 2])) { - output.push(parseInt(input.slice(i + 1, i + 3).toString(), 16)); - i += 2; - } else { - output.push(input[i]); - } - } - return new Buffer(output).toString(); -} - -function isC0ControlPercentEncode(c) { - return c <= 0x1F || c > 0x7E; -} - -const extraPathPercentEncodeSet = new Set([32, 34, 35, 60, 62, 63, 96, 123, 125]); -function isPathPercentEncode(c) { - return isC0ControlPercentEncode(c) || extraPathPercentEncodeSet.has(c); -} - -const extraUserinfoPercentEncodeSet = - new Set([47, 58, 59, 61, 64, 91, 92, 93, 94, 124]); -function isUserinfoPercentEncode(c) { - return isPathPercentEncode(c) || extraUserinfoPercentEncodeSet.has(c); -} - -function percentEncodeChar(c, encodeSetPredicate) { - const cStr = String.fromCodePoint(c); - - if (encodeSetPredicate(c)) { - return utf8PercentEncode(cStr); - } - - return cStr; -} - -function parseIPv4Number(input) { - let R = 10; - - if (input.length >= 2 && input.charAt(0) === "0" && input.charAt(1).toLowerCase() === "x") { - input = input.substring(2); - R = 16; - } else if (input.length >= 2 && input.charAt(0) === "0") { - input = input.substring(1); - R = 8; - } - - if (input === "") { - return 0; - } - - const regex = R === 10 ? /[^0-9]/ : (R === 16 ? /[^0-9A-Fa-f]/ : /[^0-7]/); - if (regex.test(input)) { - return failure; - } - - return parseInt(input, R); -} - -function parseIPv4(input) { - const parts = input.split("."); - if (parts[parts.length - 1] === "") { - if (parts.length > 1) { - parts.pop(); - } - } - - if (parts.length > 4) { - return input; - } - - const numbers = []; - for (const part of parts) { - if (part === "") { - return input; - } - const n = parseIPv4Number(part); - if (n === failure) { - return input; - } - - numbers.push(n); - } - - for (let i = 0; i < numbers.length - 1; ++i) { - if (numbers[i] > 255) { - return failure; - } - } - if (numbers[numbers.length - 1] >= Math.pow(256, 5 - numbers.length)) { - return failure; - } - - let ipv4 = numbers.pop(); - let counter = 0; - - for (const n of numbers) { - ipv4 += n * Math.pow(256, 3 - counter); - ++counter; - } - - return ipv4; -} - -function serializeIPv4(address) { - let output = ""; - let n = address; - - for (let i = 1; i <= 4; ++i) { - output = String(n % 256) + output; - if (i !== 4) { - output = "." + output; - } - n = Math.floor(n / 256); - } - - return output; -} - -function parseIPv6(input) { - const address = [0, 0, 0, 0, 0, 0, 0, 0]; - let pieceIndex = 0; - let compress = null; - let pointer = 0; - - input = punycode.ucs2.decode(input); - - if (input[pointer] === 58) { - if (input[pointer + 1] !== 58) { - return failure; - } - - pointer += 2; - ++pieceIndex; - compress = pieceIndex; - } - - while (pointer < input.length) { - if (pieceIndex === 8) { - return failure; - } - - if (input[pointer] === 58) { - if (compress !== null) { - return failure; - } - ++pointer; - ++pieceIndex; - compress = pieceIndex; - continue; - } - - let value = 0; - let length = 0; - - while (length < 4 && isASCIIHex(input[pointer])) { - value = value * 0x10 + parseInt(at(input, pointer), 16); - ++pointer; - ++length; - } - - if (input[pointer] === 46) { - if (length === 0) { - return failure; - } - - pointer -= length; - - if (pieceIndex > 6) { - return failure; - } - - let numbersSeen = 0; - - while (input[pointer] !== undefined) { - let ipv4Piece = null; - - if (numbersSeen > 0) { - if (input[pointer] === 46 && numbersSeen < 4) { - ++pointer; - } else { - return failure; - } - } - - if (!isASCIIDigit(input[pointer])) { - return failure; - } - - while (isASCIIDigit(input[pointer])) { - const number = parseInt(at(input, pointer)); - if (ipv4Piece === null) { - ipv4Piece = number; - } else if (ipv4Piece === 0) { - return failure; - } else { - ipv4Piece = ipv4Piece * 10 + number; - } - if (ipv4Piece > 255) { - return failure; - } - ++pointer; - } - - address[pieceIndex] = address[pieceIndex] * 0x100 + ipv4Piece; - - ++numbersSeen; - - if (numbersSeen === 2 || numbersSeen === 4) { - ++pieceIndex; - } - } - - if (numbersSeen !== 4) { - return failure; - } - - break; - } else if (input[pointer] === 58) { - ++pointer; - if (input[pointer] === undefined) { - return failure; - } - } else if (input[pointer] !== undefined) { - return failure; - } - - address[pieceIndex] = value; - ++pieceIndex; - } - - if (compress !== null) { - let swaps = pieceIndex - compress; - pieceIndex = 7; - while (pieceIndex !== 0 && swaps > 0) { - const temp = address[compress + swaps - 1]; - address[compress + swaps - 1] = address[pieceIndex]; - address[pieceIndex] = temp; - --pieceIndex; - --swaps; - } - } else if (compress === null && pieceIndex !== 8) { - return failure; - } - - return address; -} - -function serializeIPv6(address) { - let output = ""; - const seqResult = findLongestZeroSequence(address); - const compress = seqResult.idx; - let ignore0 = false; - - for (let pieceIndex = 0; pieceIndex <= 7; ++pieceIndex) { - if (ignore0 && address[pieceIndex] === 0) { - continue; - } else if (ignore0) { - ignore0 = false; - } - - if (compress === pieceIndex) { - const separator = pieceIndex === 0 ? "::" : ":"; - output += separator; - ignore0 = true; - continue; - } - - output += address[pieceIndex].toString(16); - - if (pieceIndex !== 7) { - output += ":"; - } - } - - return output; -} - -function parseHost(input, isSpecialArg) { - if (input[0] === "[") { - if (input[input.length - 1] !== "]") { - return failure; - } - - return parseIPv6(input.substring(1, input.length - 1)); - } - - if (!isSpecialArg) { - return parseOpaqueHost(input); - } - - const domain = utf8PercentDecode(input); - const asciiDomain = tr46.toASCII(domain, false, tr46.PROCESSING_OPTIONS.NONTRANSITIONAL, false); - if (asciiDomain === null) { - return failure; - } - - if (containsForbiddenHostCodePoint(asciiDomain)) { - return failure; - } - - const ipv4Host = parseIPv4(asciiDomain); - if (typeof ipv4Host === "number" || ipv4Host === failure) { - return ipv4Host; - } - - return asciiDomain; -} - -function parseOpaqueHost(input) { - if (containsForbiddenHostCodePointExcludingPercent(input)) { - return failure; - } - - let output = ""; - const decoded = punycode.ucs2.decode(input); - for (let i = 0; i < decoded.length; ++i) { - output += percentEncodeChar(decoded[i], isC0ControlPercentEncode); - } - return output; -} - -function findLongestZeroSequence(arr) { - let maxIdx = null; - let maxLen = 1; // only find elements > 1 - let currStart = null; - let currLen = 0; - - for (let i = 0; i < arr.length; ++i) { - if (arr[i] !== 0) { - if (currLen > maxLen) { - maxIdx = currStart; - maxLen = currLen; - } - - currStart = null; - currLen = 0; - } else { - if (currStart === null) { - currStart = i; - } - ++currLen; - } - } - - // if trailing zeros - if (currLen > maxLen) { - maxIdx = currStart; - maxLen = currLen; - } - - return { - idx: maxIdx, - len: maxLen - }; -} - -function serializeHost(host) { - if (typeof host === "number") { - return serializeIPv4(host); - } - - // IPv6 serializer - if (host instanceof Array) { - return "[" + serializeIPv6(host) + "]"; - } - - return host; -} - -function trimControlChars(url) { - return url.replace(/^[\u0000-\u001F\u0020]+|[\u0000-\u001F\u0020]+$/g, ""); -} - -function trimTabAndNewline(url) { - return url.replace(/\u0009|\u000A|\u000D/g, ""); -} - -function shortenPath(url) { - const path = url.path; - if (path.length === 0) { - return; - } - if (url.scheme === "file" && path.length === 1 && isNormalizedWindowsDriveLetter(path[0])) { - return; - } - - path.pop(); -} - -function includesCredentials(url) { - return url.username !== "" || url.password !== ""; -} - -function cannotHaveAUsernamePasswordPort(url) { - return url.host === null || url.host === "" || url.cannotBeABaseURL || url.scheme === "file"; -} - -function isNormalizedWindowsDriveLetter(string) { - return /^[A-Za-z]:$/.test(string); -} - -function URLStateMachine(input, base, encodingOverride, url, stateOverride) { - this.pointer = 0; - this.input = input; - this.base = base || null; - this.encodingOverride = encodingOverride || "utf-8"; - this.stateOverride = stateOverride; - this.url = url; - this.failure = false; - this.parseError = false; - - if (!this.url) { - this.url = { - scheme: "", - username: "", - password: "", - host: null, - port: null, - path: [], - query: null, - fragment: null, - - cannotBeABaseURL: false - }; - - const res = trimControlChars(this.input); - if (res !== this.input) { - this.parseError = true; - } - this.input = res; - } - - const res = trimTabAndNewline(this.input); - if (res !== this.input) { - this.parseError = true; - } - this.input = res; - - this.state = stateOverride || "scheme start"; - - this.buffer = ""; - this.atFlag = false; - this.arrFlag = false; - this.passwordTokenSeenFlag = false; - - this.input = punycode.ucs2.decode(this.input); - - for (; this.pointer <= this.input.length; ++this.pointer) { - const c = this.input[this.pointer]; - const cStr = isNaN(c) ? undefined : String.fromCodePoint(c); - - // exec state machine - const ret = this["parse " + this.state](c, cStr); - if (!ret) { - break; // terminate algorithm - } else if (ret === failure) { - this.failure = true; - break; - } - } -} - -URLStateMachine.prototype["parse scheme start"] = function parseSchemeStart(c, cStr) { - if (isASCIIAlpha(c)) { - this.buffer += cStr.toLowerCase(); - this.state = "scheme"; - } else if (!this.stateOverride) { - this.state = "no scheme"; - --this.pointer; - } else { - this.parseError = true; - return failure; - } - - return true; -}; - -URLStateMachine.prototype["parse scheme"] = function parseScheme(c, cStr) { - if (isASCIIAlphanumeric(c) || c === 43 || c === 45 || c === 46) { - this.buffer += cStr.toLowerCase(); - } else if (c === 58) { - if (this.stateOverride) { - if (isSpecial(this.url) && !isSpecialScheme(this.buffer)) { - return false; - } - - if (!isSpecial(this.url) && isSpecialScheme(this.buffer)) { - return false; - } - - if ((includesCredentials(this.url) || this.url.port !== null) && this.buffer === "file") { - return false; - } - - if (this.url.scheme === "file" && (this.url.host === "" || this.url.host === null)) { - return false; - } - } - this.url.scheme = this.buffer; - this.buffer = ""; - if (this.stateOverride) { - return false; - } - if (this.url.scheme === "file") { - if (this.input[this.pointer + 1] !== 47 || this.input[this.pointer + 2] !== 47) { - this.parseError = true; - } - this.state = "file"; - } else if (isSpecial(this.url) && this.base !== null && this.base.scheme === this.url.scheme) { - this.state = "special relative or authority"; - } else if (isSpecial(this.url)) { - this.state = "special authority slashes"; - } else if (this.input[this.pointer + 1] === 47) { - this.state = "path or authority"; - ++this.pointer; - } else { - this.url.cannotBeABaseURL = true; - this.url.path.push(""); - this.state = "cannot-be-a-base-URL path"; - } - } else if (!this.stateOverride) { - this.buffer = ""; - this.state = "no scheme"; - this.pointer = -1; - } else { - this.parseError = true; - return failure; - } - - return true; -}; - -URLStateMachine.prototype["parse no scheme"] = function parseNoScheme(c) { - if (this.base === null || (this.base.cannotBeABaseURL && c !== 35)) { - return failure; - } else if (this.base.cannotBeABaseURL && c === 35) { - this.url.scheme = this.base.scheme; - this.url.path = this.base.path.slice(); - this.url.query = this.base.query; - this.url.fragment = ""; - this.url.cannotBeABaseURL = true; - this.state = "fragment"; - } else if (this.base.scheme === "file") { - this.state = "file"; - --this.pointer; - } else { - this.state = "relative"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse special relative or authority"] = function parseSpecialRelativeOrAuthority(c) { - if (c === 47 && this.input[this.pointer + 1] === 47) { - this.state = "special authority ignore slashes"; - ++this.pointer; - } else { - this.parseError = true; - this.state = "relative"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse path or authority"] = function parsePathOrAuthority(c) { - if (c === 47) { - this.state = "authority"; - } else { - this.state = "path"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse relative"] = function parseRelative(c) { - this.url.scheme = this.base.scheme; - if (isNaN(c)) { - this.url.username = this.base.username; - this.url.password = this.base.password; - this.url.host = this.base.host; - this.url.port = this.base.port; - this.url.path = this.base.path.slice(); - this.url.query = this.base.query; - } else if (c === 47) { - this.state = "relative slash"; - } else if (c === 63) { - this.url.username = this.base.username; - this.url.password = this.base.password; - this.url.host = this.base.host; - this.url.port = this.base.port; - this.url.path = this.base.path.slice(); - this.url.query = ""; - this.state = "query"; - } else if (c === 35) { - this.url.username = this.base.username; - this.url.password = this.base.password; - this.url.host = this.base.host; - this.url.port = this.base.port; - this.url.path = this.base.path.slice(); - this.url.query = this.base.query; - this.url.fragment = ""; - this.state = "fragment"; - } else if (isSpecial(this.url) && c === 92) { - this.parseError = true; - this.state = "relative slash"; - } else { - this.url.username = this.base.username; - this.url.password = this.base.password; - this.url.host = this.base.host; - this.url.port = this.base.port; - this.url.path = this.base.path.slice(0, this.base.path.length - 1); - - this.state = "path"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse relative slash"] = function parseRelativeSlash(c) { - if (isSpecial(this.url) && (c === 47 || c === 92)) { - if (c === 92) { - this.parseError = true; - } - this.state = "special authority ignore slashes"; - } else if (c === 47) { - this.state = "authority"; - } else { - this.url.username = this.base.username; - this.url.password = this.base.password; - this.url.host = this.base.host; - this.url.port = this.base.port; - this.state = "path"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse special authority slashes"] = function parseSpecialAuthoritySlashes(c) { - if (c === 47 && this.input[this.pointer + 1] === 47) { - this.state = "special authority ignore slashes"; - ++this.pointer; - } else { - this.parseError = true; - this.state = "special authority ignore slashes"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse special authority ignore slashes"] = function parseSpecialAuthorityIgnoreSlashes(c) { - if (c !== 47 && c !== 92) { - this.state = "authority"; - --this.pointer; - } else { - this.parseError = true; - } - - return true; -}; - -URLStateMachine.prototype["parse authority"] = function parseAuthority(c, cStr) { - if (c === 64) { - this.parseError = true; - if (this.atFlag) { - this.buffer = "%40" + this.buffer; - } - this.atFlag = true; - - // careful, this is based on buffer and has its own pointer (this.pointer != pointer) and inner chars - const len = countSymbols(this.buffer); - for (let pointer = 0; pointer < len; ++pointer) { - const codePoint = this.buffer.codePointAt(pointer); - - if (codePoint === 58 && !this.passwordTokenSeenFlag) { - this.passwordTokenSeenFlag = true; - continue; - } - const encodedCodePoints = percentEncodeChar(codePoint, isUserinfoPercentEncode); - if (this.passwordTokenSeenFlag) { - this.url.password += encodedCodePoints; - } else { - this.url.username += encodedCodePoints; - } - } - this.buffer = ""; - } else if (isNaN(c) || c === 47 || c === 63 || c === 35 || - (isSpecial(this.url) && c === 92)) { - if (this.atFlag && this.buffer === "") { - this.parseError = true; - return failure; - } - this.pointer -= countSymbols(this.buffer) + 1; - this.buffer = ""; - this.state = "host"; - } else { - this.buffer += cStr; - } - - return true; -}; - -URLStateMachine.prototype["parse hostname"] = -URLStateMachine.prototype["parse host"] = function parseHostName(c, cStr) { - if (this.stateOverride && this.url.scheme === "file") { - --this.pointer; - this.state = "file host"; - } else if (c === 58 && !this.arrFlag) { - if (this.buffer === "") { - this.parseError = true; - return failure; - } - - const host = parseHost(this.buffer, isSpecial(this.url)); - if (host === failure) { - return failure; - } - - this.url.host = host; - this.buffer = ""; - this.state = "port"; - if (this.stateOverride === "hostname") { - return false; - } - } else if (isNaN(c) || c === 47 || c === 63 || c === 35 || - (isSpecial(this.url) && c === 92)) { - --this.pointer; - if (isSpecial(this.url) && this.buffer === "") { - this.parseError = true; - return failure; - } else if (this.stateOverride && this.buffer === "" && - (includesCredentials(this.url) || this.url.port !== null)) { - this.parseError = true; - return false; - } - - const host = parseHost(this.buffer, isSpecial(this.url)); - if (host === failure) { - return failure; - } - - this.url.host = host; - this.buffer = ""; - this.state = "path start"; - if (this.stateOverride) { - return false; - } - } else { - if (c === 91) { - this.arrFlag = true; - } else if (c === 93) { - this.arrFlag = false; - } - this.buffer += cStr; - } - - return true; -}; - -URLStateMachine.prototype["parse port"] = function parsePort(c, cStr) { - if (isASCIIDigit(c)) { - this.buffer += cStr; - } else if (isNaN(c) || c === 47 || c === 63 || c === 35 || - (isSpecial(this.url) && c === 92) || - this.stateOverride) { - if (this.buffer !== "") { - const port = parseInt(this.buffer); - if (port > Math.pow(2, 16) - 1) { - this.parseError = true; - return failure; - } - this.url.port = port === defaultPort(this.url.scheme) ? null : port; - this.buffer = ""; - } - if (this.stateOverride) { - return false; - } - this.state = "path start"; - --this.pointer; - } else { - this.parseError = true; - return failure; - } - - return true; -}; - -const fileOtherwiseCodePoints = new Set([47, 92, 63, 35]); - -URLStateMachine.prototype["parse file"] = function parseFile(c) { - this.url.scheme = "file"; - - if (c === 47 || c === 92) { - if (c === 92) { - this.parseError = true; - } - this.state = "file slash"; - } else if (this.base !== null && this.base.scheme === "file") { - if (isNaN(c)) { - this.url.host = this.base.host; - this.url.path = this.base.path.slice(); - this.url.query = this.base.query; - } else if (c === 63) { - this.url.host = this.base.host; - this.url.path = this.base.path.slice(); - this.url.query = ""; - this.state = "query"; - } else if (c === 35) { - this.url.host = this.base.host; - this.url.path = this.base.path.slice(); - this.url.query = this.base.query; - this.url.fragment = ""; - this.state = "fragment"; - } else { - if (this.input.length - this.pointer - 1 === 0 || // remaining consists of 0 code points - !isWindowsDriveLetterCodePoints(c, this.input[this.pointer + 1]) || - (this.input.length - this.pointer - 1 >= 2 && // remaining has at least 2 code points - !fileOtherwiseCodePoints.has(this.input[this.pointer + 2]))) { - this.url.host = this.base.host; - this.url.path = this.base.path.slice(); - shortenPath(this.url); - } else { - this.parseError = true; - } - - this.state = "path"; - --this.pointer; - } - } else { - this.state = "path"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse file slash"] = function parseFileSlash(c) { - if (c === 47 || c === 92) { - if (c === 92) { - this.parseError = true; - } - this.state = "file host"; - } else { - if (this.base !== null && this.base.scheme === "file") { - if (isNormalizedWindowsDriveLetterString(this.base.path[0])) { - this.url.path.push(this.base.path[0]); - } else { - this.url.host = this.base.host; - } - } - this.state = "path"; - --this.pointer; - } - - return true; -}; - -URLStateMachine.prototype["parse file host"] = function parseFileHost(c, cStr) { - if (isNaN(c) || c === 47 || c === 92 || c === 63 || c === 35) { - --this.pointer; - if (!this.stateOverride && isWindowsDriveLetterString(this.buffer)) { - this.parseError = true; - this.state = "path"; - } else if (this.buffer === "") { - this.url.host = ""; - if (this.stateOverride) { - return false; - } - this.state = "path start"; - } else { - let host = parseHost(this.buffer, isSpecial(this.url)); - if (host === failure) { - return failure; - } - if (host === "localhost") { - host = ""; - } - this.url.host = host; - - if (this.stateOverride) { - return false; - } - - this.buffer = ""; - this.state = "path start"; - } - } else { - this.buffer += cStr; - } - - return true; -}; - -URLStateMachine.prototype["parse path start"] = function parsePathStart(c) { - if (isSpecial(this.url)) { - if (c === 92) { - this.parseError = true; - } - this.state = "path"; - - if (c !== 47 && c !== 92) { - --this.pointer; - } - } else if (!this.stateOverride && c === 63) { - this.url.query = ""; - this.state = "query"; - } else if (!this.stateOverride && c === 35) { - this.url.fragment = ""; - this.state = "fragment"; - } else if (c !== undefined) { - this.state = "path"; - if (c !== 47) { - --this.pointer; - } - } - - return true; -}; - -URLStateMachine.prototype["parse path"] = function parsePath(c) { - if (isNaN(c) || c === 47 || (isSpecial(this.url) && c === 92) || - (!this.stateOverride && (c === 63 || c === 35))) { - if (isSpecial(this.url) && c === 92) { - this.parseError = true; - } - - if (isDoubleDot(this.buffer)) { - shortenPath(this.url); - if (c !== 47 && !(isSpecial(this.url) && c === 92)) { - this.url.path.push(""); - } - } else if (isSingleDot(this.buffer) && c !== 47 && - !(isSpecial(this.url) && c === 92)) { - this.url.path.push(""); - } else if (!isSingleDot(this.buffer)) { - if (this.url.scheme === "file" && this.url.path.length === 0 && isWindowsDriveLetterString(this.buffer)) { - if (this.url.host !== "" && this.url.host !== null) { - this.parseError = true; - this.url.host = ""; - } - this.buffer = this.buffer[0] + ":"; - } - this.url.path.push(this.buffer); - } - this.buffer = ""; - if (this.url.scheme === "file" && (c === undefined || c === 63 || c === 35)) { - while (this.url.path.length > 1 && this.url.path[0] === "") { - this.parseError = true; - this.url.path.shift(); - } - } - if (c === 63) { - this.url.query = ""; - this.state = "query"; - } - if (c === 35) { - this.url.fragment = ""; - this.state = "fragment"; - } - } else { - // TODO: If c is not a URL code point and not "%", parse error. - - if (c === 37 && - (!isASCIIHex(this.input[this.pointer + 1]) || - !isASCIIHex(this.input[this.pointer + 2]))) { - this.parseError = true; - } - - this.buffer += percentEncodeChar(c, isPathPercentEncode); - } - - return true; -}; - -URLStateMachine.prototype["parse cannot-be-a-base-URL path"] = function parseCannotBeABaseURLPath(c) { - if (c === 63) { - this.url.query = ""; - this.state = "query"; - } else if (c === 35) { - this.url.fragment = ""; - this.state = "fragment"; - } else { - // TODO: Add: not a URL code point - if (!isNaN(c) && c !== 37) { - this.parseError = true; - } - - if (c === 37 && - (!isASCIIHex(this.input[this.pointer + 1]) || - !isASCIIHex(this.input[this.pointer + 2]))) { - this.parseError = true; - } - - if (!isNaN(c)) { - this.url.path[0] = this.url.path[0] + percentEncodeChar(c, isC0ControlPercentEncode); - } - } - - return true; -}; - -URLStateMachine.prototype["parse query"] = function parseQuery(c, cStr) { - if (isNaN(c) || (!this.stateOverride && c === 35)) { - if (!isSpecial(this.url) || this.url.scheme === "ws" || this.url.scheme === "wss") { - this.encodingOverride = "utf-8"; - } - - const buffer = new Buffer(this.buffer); // TODO: Use encoding override instead - for (let i = 0; i < buffer.length; ++i) { - if (buffer[i] < 0x21 || buffer[i] > 0x7E || buffer[i] === 0x22 || buffer[i] === 0x23 || - buffer[i] === 0x3C || buffer[i] === 0x3E) { - this.url.query += percentEncode(buffer[i]); - } else { - this.url.query += String.fromCodePoint(buffer[i]); - } - } - - this.buffer = ""; - if (c === 35) { - this.url.fragment = ""; - this.state = "fragment"; - } - } else { - // TODO: If c is not a URL code point and not "%", parse error. - if (c === 37 && - (!isASCIIHex(this.input[this.pointer + 1]) || - !isASCIIHex(this.input[this.pointer + 2]))) { - this.parseError = true; - } - - this.buffer += cStr; - } - - return true; -}; - -URLStateMachine.prototype["parse fragment"] = function parseFragment(c) { - if (isNaN(c)) { // do nothing - } else if (c === 0x0) { - this.parseError = true; - } else { - // TODO: If c is not a URL code point and not "%", parse error. - if (c === 37 && - (!isASCIIHex(this.input[this.pointer + 1]) || - !isASCIIHex(this.input[this.pointer + 2]))) { - this.parseError = true; - } - - this.url.fragment += percentEncodeChar(c, isC0ControlPercentEncode); - } - - return true; -}; - -function serializeURL(url, excludeFragment) { - let output = url.scheme + ":"; - if (url.host !== null) { - output += "//"; - - if (url.username !== "" || url.password !== "") { - output += url.username; - if (url.password !== "") { - output += ":" + url.password; - } - output += "@"; - } - - output += serializeHost(url.host); - - if (url.port !== null) { - output += ":" + url.port; - } - } else if (url.host === null && url.scheme === "file") { - output += "//"; - } - - if (url.cannotBeABaseURL) { - output += url.path[0]; - } else { - for (const string of url.path) { - output += "/" + string; - } - } - - if (url.query !== null) { - output += "?" + url.query; - } - - if (!excludeFragment && url.fragment !== null) { - output += "#" + url.fragment; - } - - return output; -} - -function serializeOrigin(tuple) { - let result = tuple.scheme + "://"; - result += serializeHost(tuple.host); - - if (tuple.port !== null) { - result += ":" + tuple.port; - } - - return result; -} - -module.exports.serializeURL = serializeURL; - -module.exports.serializeURLOrigin = function (url) { - // https://url.spec.whatwg.org/#concept-url-origin - switch (url.scheme) { - case "blob": - try { - return module.exports.serializeURLOrigin(module.exports.parseURL(url.path[0])); - } catch (e) { - // serializing an opaque origin returns "null" - return "null"; - } - case "ftp": - case "gopher": - case "http": - case "https": - case "ws": - case "wss": - return serializeOrigin({ - scheme: url.scheme, - host: url.host, - port: url.port - }); - case "file": - // spec says "exercise to the reader", chrome says "file://" - return "file://"; - default: - // serializing an opaque origin returns "null" - return "null"; - } -}; - -module.exports.basicURLParse = function (input, options) { - if (options === undefined) { - options = {}; - } - - const usm = new URLStateMachine(input, options.baseURL, options.encodingOverride, options.url, options.stateOverride); - if (usm.failure) { - return "failure"; - } - - return usm.url; -}; - -module.exports.setTheUsername = function (url, username) { - url.username = ""; - const decoded = punycode.ucs2.decode(username); - for (let i = 0; i < decoded.length; ++i) { - url.username += percentEncodeChar(decoded[i], isUserinfoPercentEncode); - } -}; - -module.exports.setThePassword = function (url, password) { - url.password = ""; - const decoded = punycode.ucs2.decode(password); - for (let i = 0; i < decoded.length; ++i) { - url.password += percentEncodeChar(decoded[i], isUserinfoPercentEncode); - } -}; - -module.exports.serializeHost = serializeHost; - -module.exports.cannotHaveAUsernamePasswordPort = cannotHaveAUsernamePasswordPort; - -module.exports.serializeInteger = function (integer) { - return String(integer); -}; - -module.exports.parseURL = function (input, options) { - if (options === undefined) { - options = {}; - } - - // We don't handle blobs, so this just delegates: - return module.exports.basicURLParse(input, { baseURL: options.baseURL, encodingOverride: options.encodingOverride }); -}; + module.exports.setThePassword = function(url, password) { + url.password = ""; + const decoded = punycode.ucs2.decode(password); + for (let i = 0; i < decoded.length; ++i) { + url.password += percentEncodeChar(decoded[i], isUserinfoPercentEncode); + } + }; + module.exports.serializeHost = serializeHost; -/***/ }), + module.exports.cannotHaveAUsernamePasswordPort = cannotHaveAUsernamePasswordPort; -/***/ 3185: -/***/ ((module) => { + module.exports.serializeInteger = function(integer) { + return String(integer); + }; -"use strict"; + module.exports.parseURL = function(input, options) { + if (options === undefined) { + options = {}; + } + // We don't handle blobs, so this just delegates: + return module.exports.basicURLParse( + input, {baseURL : options.baseURL, encodingOverride : options.encodingOverride}); + }; -module.exports.mixin = function mixin(target, source) { - const keys = Object.getOwnPropertyNames(source); - for (let i = 0; i < keys.length; ++i) { - Object.defineProperty(target, keys[i], Object.getOwnPropertyDescriptor(source, keys[i])); - } -}; + /***/ }), -module.exports.wrapperSymbol = Symbol("wrapper"); -module.exports.implSymbol = Symbol("impl"); +/***/ 3185: +/***/ ((module) => { + "use strict"; -module.exports.wrapperForImpl = function (impl) { - return impl[module.exports.wrapperSymbol]; -}; + module.exports.mixin = function mixin(target, source) { + const keys = Object.getOwnPropertyNames(source); + for (let i = 0; i < keys.length; ++i) { + Object.defineProperty(target, keys[i], Object.getOwnPropertyDescriptor(source, keys[i])); + } + }; -module.exports.implForWrapper = function (wrapper) { - return wrapper[module.exports.implSymbol]; -}; + module.exports.wrapperSymbol = Symbol("wrapper"); + module.exports.implSymbol = Symbol("impl"); + module.exports.wrapperForImpl = function(impl) { + return impl[module.exports.wrapperSymbol]; + }; + module.exports.implForWrapper = function(wrapper) { + return wrapper[module.exports.implSymbol]; + }; -/***/ }), + /***/ }), /***/ 2940: /***/ ((module) => { @@ -12903,31 +12822,31 @@ module.exports.implForWrapper = function (wrapper) { // decorations and such are not lost along the way. module.exports = wrappy function wrappy (fn, cb) { - if (fn && cb) return wrappy(fn)(cb) + if (fn && cb) + return wrappy(fn)(cb) - if (typeof fn !== 'function') - throw new TypeError('need wrapper function') + if (typeof fn !== 'function') + throw new TypeError('need wrapper function') - Object.keys(fn).forEach(function (k) { - wrapper[k] = fn[k] - }) + Object.keys(fn).forEach(function(k) { + wrapper[k] = fn[k] + }) - return wrapper + return wrapper - function wrapper() { - var args = new Array(arguments.length) - for (var i = 0; i < args.length; i++) { - args[i] = arguments[i] - } - var ret = fn.apply(this, args) - var cb = args[args.length-1] - if (typeof ret === 'function' && ret !== cb) { - Object.keys(cb).forEach(function (k) { - ret[k] = cb[k] - }) - } - return ret - } + function wrapper() { + var args = new Array(arguments.length) + for (var i = 0; i < args.length; i++) { + args[i] = arguments[i] + } + var ret = fn.apply(this, args) + var cb = args[args.length - 1] if (typeof ret === 'function' && ret !== cb) { + Object.keys(cb).forEach(function(k) { + ret[k] = cb[k] + }) + } + return ret + } } @@ -12935,176 +12854,163 @@ function wrappy (fn, cb) { /***/ 2877: /***/ ((module) => { + module.exports = eval("require")("encoding"); -module.exports = eval("require")("encoding"); - - -/***/ }), + /***/ }), /***/ 9491: /***/ ((module) => { + "use strict"; + module.exports = require("assert"); -"use strict"; -module.exports = require("assert"); - -/***/ }), + /***/ }), /***/ 2361: /***/ ((module) => { + "use strict"; + module.exports = require("events"); -"use strict"; -module.exports = require("events"); - -/***/ }), + /***/ }), /***/ 7147: /***/ ((module) => { + "use strict"; + module.exports = require("fs"); -"use strict"; -module.exports = require("fs"); - -/***/ }), + /***/ }), /***/ 3685: /***/ ((module) => { + "use strict"; + module.exports = require("http"); -"use strict"; -module.exports = require("http"); - -/***/ }), + /***/ }), /***/ 5687: /***/ ((module) => { + "use strict"; + module.exports = require("https"); -"use strict"; -module.exports = require("https"); - -/***/ }), + /***/ }), /***/ 1808: /***/ ((module) => { + "use strict"; + module.exports = require("net"); -"use strict"; -module.exports = require("net"); - -/***/ }), + /***/ }), /***/ 2037: /***/ ((module) => { + "use strict"; + module.exports = require("os"); -"use strict"; -module.exports = require("os"); - -/***/ }), + /***/ }), /***/ 1017: /***/ ((module) => { + "use strict"; + module.exports = require("path"); -"use strict"; -module.exports = require("path"); - -/***/ }), + /***/ }), /***/ 5477: /***/ ((module) => { + "use strict"; + module.exports = require("punycode"); -"use strict"; -module.exports = require("punycode"); - -/***/ }), + /***/ }), /***/ 2781: /***/ ((module) => { + "use strict"; + module.exports = require("stream"); 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and return exports +/******/ // This entry module is referenced by other modules so it can't be inlined +/******/ var __webpack_exports__ = __nccwpck_require__(3109); +/******/ module.exports = __webpack_exports__; +/******/ +/******/ +})(); diff --git a/.github/actions/assigner/package-lock.json b/.github/actions/assigner/package-lock.json index cb50f07023..d6ca8dd36c 100644 --- a/.github/actions/assigner/package-lock.json +++ b/.github/actions/assigner/package-lock.json @@ -108,7 +108,8 @@ }, "node_modules/@octokit/plugin-rest-endpoint-methods": { "version": "5.13.0", - "resolved": "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-5.13.0.tgz", + "resolved": + "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-5.13.0.tgz", "integrity": "sha512-uJjMTkN1KaOIgNtUPMtIXDOjx6dGYysdIFhgA52x4xSadQCz3b/zJexvITDVpANnfKPW/+E0xkOvLntqMYpviA==", "dependencies": { "@octokit/types": "^6.34.0", @@ -381,7 +382,8 @@ }, "@octokit/plugin-rest-endpoint-methods": { "version": "5.13.0", - "resolved": "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-5.13.0.tgz", + "resolved": + "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-5.13.0.tgz", "integrity": "sha512-uJjMTkN1KaOIgNtUPMtIXDOjx6dGYysdIFhgA52x4xSadQCz3b/zJexvITDVpANnfKPW/+E0xkOvLntqMYpviA==", "requires": { "@octokit/types": "^6.34.0", diff --git a/.github/actions/assigner/tsconfig.json b/.github/actions/assigner/tsconfig.json index 0bdc41101d..9398bacada 100644 --- a/.github/actions/assigner/tsconfig.json +++ b/.github/actions/assigner/tsconfig.json @@ -2,8 +2,11 @@ "compilerOptions": { /* Basic Options */ // "incremental": true, /* Enable incremental compilation */ - "target": "es2019", /* Specify ECMAScript target version: 'ES3' (default), 'ES5', 'ES2015', 'ES2016', 'ES2017', 'ES2018', 'ES2019' or 'ESNEXT'. */ - "module": "commonjs", /* Specify module code generation: 'none', 'commonjs', 'amd', 'system', 'umd', 'es2015', or 'ESNext'. */ + "target": "es2019", + /* Specify ECMAScript target version: 'ES3' (default), 'ES5', 'ES2015', 'ES2016', 'ES2017', 'ES2018', 'ES2019' or + 'ESNEXT'. */ + "module": "commonjs", + /* Specify module code generation: 'none', 'commonjs', 'amd', 'system', 'umd', 'es2015', or 'ESNext'. */ // "allowJs": true, /* Allow javascript files to be compiled. */ // "checkJs": true, /* Report errors in .js files. */ // "jsx": "preserve", /* Specify JSX code generation: 'preserve', 'react-native', or 'react'. */ @@ -11,19 +14,24 @@ // "declarationMap": true, /* Generates a sourcemap for each corresponding '.d.ts' file. */ // "sourceMap": true, /* Generates corresponding '.map' file. */ // "outFile": "./", /* Concatenate and emit output to single file. */ - "outDir": "./lib", /* Redirect output structure to the directory. */ - "rootDir": "./src", /* Specify the root directory of input files. Use to control the output directory structure with --outDir. */ + "outDir": "./lib", + /* Redirect output structure to the directory. */ + "rootDir": "./src", + /* Specify the root directory of input files. Use to control the output directory structure with --outDir. */ // "composite": true, /* Enable project compilation */ // "tsBuildInfoFile": "./", /* Specify file to store incremental compilation information */ // "removeComments": true, /* Do not emit comments to output. */ // "noEmit": true, /* Do not emit outputs. */ // "importHelpers": true, /* Import emit helpers from 'tslib'. */ - // "downlevelIteration": true, /* Provide full support for iterables in 'for-of', spread, and destructuring when targeting 'ES5' or 'ES3'. */ - // "isolatedModules": true, /* Transpile each file as a separate module (similar to 'ts.transpileModule'). */ + // "downlevelIteration": true, /* Provide full support for iterables in 'for-of', spread, and + // destructuring when targeting 'ES5' or 'ES3'. */ "isolatedModules": true, /* Transpile each file as + // a separate module (similar to 'ts.transpileModule'). */ /* Strict Type-Checking Options */ - "strict": true, /* Enable all strict type-checking options. */ - "noImplicitAny": false, /* Raise error on expressions and declarations with an implied 'any' type. */ + "strict": true, + /* Enable all strict type-checking options. */ + "noImplicitAny": false, + /* Raise error on expressions and declarations with an implied 'any' type. */ // "strictNullChecks": true, /* Enable strict null checks. */ // "strictFunctionTypes": true, /* Enable strict checking of function types. */ // "strictBindCallApply": true, /* Enable strict 'bind', 'call', and 'apply' methods on functions. */ @@ -38,26 +46,35 @@ // "noFallthroughCasesInSwitch": true, /* Report errors for fallthrough cases in switch statement. */ /* Module Resolution Options */ - // "moduleResolution": "node", /* Specify module resolution strategy: 'node' (Node.js) or 'classic' (TypeScript pre-1.6). */ - // "baseUrl": "./", /* Base directory to resolve non-absolute module names. */ - // "paths": {}, /* A series of entries which re-map imports to lookup locations relative to the 'baseUrl'. */ - // "rootDirs": [], /* List of root folders whose combined content represents the structure of the project at runtime. */ - // "typeRoots": [], /* List of folders to include type definitions from. */ - // "types": [], /* Type declaration files to be included in compilation. */ - // "allowSyntheticDefaultImports": true, /* Allow default imports from modules with no default export. This does not affect code emit, just typechecking. */ - "esModuleInterop": true /* Enables emit interoperability between CommonJS and ES Modules via creation of namespace objects for all imports. Implies 'allowSyntheticDefaultImports'. */ + // "moduleResolution": "node", /* Specify module resolution strategy: 'node' (Node.js) or 'classic' + // (TypeScript pre-1.6). */ "baseUrl": "./", /* Base directory to resolve non-absolute module + // names. */ "paths": {}, /* A series of entries which re-map imports to lookup locations + // relative to the 'baseUrl'. */ "rootDirs": [], /* List of root folders whose combined + // content represents the structure of the project at runtime. */ "typeRoots": [], /* List of + // folders to include type definitions from. */ "types": [], /* Type declaration files to + // be included in compilation. */ "allowSyntheticDefaultImports": true, /* Allow default imports from modules with + // no default export. This does not affect code emit, just typechecking. */ + "esModuleInterop": true /* Enables emit interoperability between CommonJS and ES Modules via creation of namespace + objects for all imports. Implies 'allowSyntheticDefaultImports'. */ // "preserveSymlinks": true, /* Do not resolve the real path of symlinks. */ // "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */ /* Source Map Options */ - // "sourceRoot": "", /* Specify the location where debugger should locate TypeScript files instead of source locations. */ - // "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */ - // "inlineSourceMap": true, /* Emit a single file with source maps instead of having a separate file. */ - // "inlineSources": true, /* Emit the source alongside the sourcemaps within a single file; requires '--inlineSourceMap' or '--sourceMap' to be set. */ + // "sourceRoot": "", /* Specify the location where debugger should locate TypeScript files + // instead of source locations. */ "mapRoot": "", /* Specify the location where debugger + // should locate map files instead of generated locations. */ "inlineSourceMap": true, /* Emit a + // single file with source maps instead of having a separate file. */ "inlineSources": true, /* Emit + // the source alongside the sourcemaps within a single file; requires '--inlineSourceMap' or '--sourceMap' to be + // set. */ /* Experimental Options */ // "experimentalDecorators": true, /* Enables experimental support for ES7 decorators. */ - // "emitDecoratorMetadata": true, /* Enables experimental support for emitting type metadata for decorators. */ + // "emitDecoratorMetadata": true, /* Enables experimental support for emitting type metadata for decorators. + // */ }, - "exclude": ["node_modules", "__tests__", "__mocks__"] -} \ No newline at end of file + "exclude": [ + "node_modules", + "__tests__", + "__mocks__" + ] +} diff --git a/.github/pr-labels.yml b/.github/pr-labels.yml index b307034c4b..aa0f66931b 100644 --- a/.github/pr-labels.yml +++ b/.github/pr-labels.yml @@ -18,7 +18,7 @@ "component: evaluators": - core/conversion/evaluators/**/* - + "component: fx": - py/torch_tensorrt/fx/**/* @@ -41,4 +41,3 @@ "documentation": - docs/**/* - docsrc/**/* - diff --git a/.github/scripts/run_cpp_linter.py b/.github/scripts/run_cpp_linter.py index 55b08473df..44748c49f3 100644 --- a/.github/scripts/run_cpp_linter.py +++ b/.github/scripts/run_cpp_linter.py @@ -1,13 +1,14 @@ import os import json + from github import Github import subprocess -token = os.environ['GITHUB_TOKEN'] +token = os.environ["GITHUB_TOKEN"] gh = Github(token) event_file_path = "/GITHUB_EVENT.json" -with open(event_file_path, 'r') as f: +with open(event_file_path, "r") as f: event = json.load(f) repo_name = event["repository"]["full_name"] @@ -16,19 +17,26 @@ pr = repo.get_pull(pr_number) commit = repo.get_commit(pr.base.sha) -output = subprocess.run(["python3", "tools/linter/cpplint_diff.py", "--no-color", "//..."], stdout=subprocess.PIPE) +output = subprocess.run( + ["python3", "tools/linter/cpplint_diff.py", "--no-color", "//..."], + stdout=subprocess.PIPE, +) -comment = '''Code conforms to C++ style guidelines''' -approval = 'APPROVE' +comment = """Code conforms to C++ style guidelines""" +approval = "APPROVE" if output.returncode != 0: - comment = '''There are some changes that do not conform to C++ style guidelines:\n ```diff\n{}```'''.format(output.stdout.decode("utf-8")) - approval = 'REQUEST_CHANGES' + comment = """There are some changes that do not conform to C++ style guidelines:\n ```diff\n{}```""".format( + output.stdout.decode("utf-8") + ) + approval = "REQUEST_CHANGES" try: pr.create_review(commit, comment, approval) except: print("Unable to submit in depth review, please review logs for linting issues") - + +print(comment) + if output.returncode != 0: exit(1) else: diff --git a/.github/scripts/run_py_linter.py b/.github/scripts/run_py_linter.py index fd03a7b2b8..f8f2b7f567 100644 --- a/.github/scripts/run_py_linter.py +++ b/.github/scripts/run_py_linter.py @@ -3,11 +3,11 @@ from github import Github import subprocess -token = os.environ['GITHUB_TOKEN'] +token = os.environ["GITHUB_TOKEN"] gh = Github(token) event_file_path = "/GITHUB_EVENT.json" -with open(event_file_path, 'r') as f: +with open(event_file_path, "r") as f: event = json.load(f) repo_name = event["repository"]["full_name"] @@ -16,20 +16,27 @@ pr = repo.get_pull(pr_number) commit = repo.get_commit(pr.base.sha) -output = subprocess.run(["python3", "tools/linter/pylint_diff.py", "--no-color", "//..."], stdout=subprocess.PIPE) +check_output = subprocess.run( + ["python3", "-m", "black", "--check", "."], + stdout=subprocess.PIPE, +) -comment = '''Code conforms to Python style guidelines''' -approval = 'APPROVE' -if output.returncode != 0: - comment = '''There are some changes that do not conform to Python style guidelines:\n ```diff\n{}```'''.format(output.stdout.decode("utf-8")) - approval = 'REQUEST_CHANGES' +comment = """Code conforms to Python style guidelines""" +approval = "APPROVE" +if check_output.returncode != 0: + diff_output = subprocess.run( + ["python3", "-m", "black", "--diff", "--no-color", "."], + stdout=subprocess.PIPE, + ) + out_text = diff_output.stdout.decode("utf-8") + comment = """There are some changes that do not conform to Python style guidelines:\n ```diff\n{}```""".format( + out_text + ) + approval = "REQUEST_CHANGES" try: pr.create_review(commit, comment, approval) except: print("Unable to submit in depth review, please review logs for linting issues") -if output.returncode != 0: - exit(1) -else: - exit(0) +exit(check_output.returncode) diff --git a/.github/workflows/blossom-ci.yml b/.github/workflows/blossom-ci.yml index 45b04b436a..5eb6b94792 100644 --- a/.github/workflows/blossom-ci.yml +++ b/.github/workflows/blossom-ci.yml @@ -20,22 +20,22 @@ on: workflow_dispatch: inputs: platform: - description: 'runs-on argument' + description: 'runs-on argument' required: false args: - description: 'argument' + description: 'argument' required: false jobs: Authorization: name: Authorization - runs-on: blossom + runs-on: blossom outputs: args: ${{ env.args }} - + # This job only runs for pull request comments if: | - contains( 'andi4191, narendasan, peri044, bowang007,', format('{0},', github.actor)) && - github.event.comment.body == '/blossom-ci' + contains( 'andi4191, narendasan, peri044, bowang007,', format('{0},', github.actor)) && + github.event.comment.body == '/blossom-ci' steps: - name: Check if comment is issued by authorized person run: blossom-ci @@ -43,7 +43,7 @@ jobs: OPERATION: 'AUTH' REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }} REPO_KEY_DATA: ${{ secrets.BLOSSOM_KEY }} - + Vulnerability-scan: name: Vulnerability scan needs: [Authorization] @@ -55,20 +55,20 @@ jobs: repository: ${{ fromJson(needs.Authorization.outputs.args).repo }} ref: ${{ fromJson(needs.Authorization.outputs.args).ref }} lfs: 'true' - - # repo specific steps + + # repo specific steps #- name: Setup java # uses: actions/setup-java@v1 # with: # java-version: 1.8 - + # add blackduck properties https://synopsys.atlassian.net/wiki/spaces/INTDOCS/pages/631308372/Methods+for+Configuring+Analysis#Using-a-configuration-file #- name: Setup blackduck properties # run: | # PROJECTS=$(mvn -am dependency:tree | grep maven-dependency-plugin | awk '{ out="com.nvidia:"$(NF-1);print out }' | grep rapids | xargs | sed -e 's/ /,/g') # echo detect.maven.build.command="-pl=$PROJECTS -am" >> application.properties # echo detect.maven.included.scopes=compile >> application.properties - + - name: Run blossom action uses: NVIDIA/blossom-action@main env: @@ -78,7 +78,7 @@ jobs: args1: ${{ fromJson(needs.Authorization.outputs.args).args1 }} args2: ${{ fromJson(needs.Authorization.outputs.args).args2 }} args3: ${{ fromJson(needs.Authorization.outputs.args).args3 }} - + Job-trigger: name: Start ci job needs: [Vulnerability-scan] @@ -90,7 +90,7 @@ jobs: OPERATION: 'START-CI-JOB' CI_SERVER: ${{ secrets.CI_SERVER }} REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }} - + Upload-Log: name: Upload log runs-on: blossom diff --git a/.github/workflows/linter.yml b/.github/workflows/linter.yml index 791b3d722d..da05d2f41a 100644 --- a/.github/workflows/linter.yml +++ b/.github/workflows/linter.yml @@ -39,7 +39,9 @@ jobs: env: GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}} - name: Install dependencies - run: docker exec cpplinter bash -c "pip3 install -r /workspace/.github/scripts/requirements.txt" + run: | + docker exec cpplinter bash -c "pip3 install -r /workspace/.github/scripts/requirements.txt" + docker exec cpplinter bash -c "pip3 install -r /workspace/requirements-dev.txt" - name: Lint C++ run: docker exec cpplinter bash -c "cd /workspace && python3 /workspace/.github/scripts/run_cpp_linter.py" @@ -79,6 +81,6 @@ jobs: - name: Install dependencies run: | docker exec pylinter bash -c "pip3 install -r /workspace/.github/scripts/requirements.txt" - docker exec pylinter bash -c "pip3 install -r /workspace/tools/linter/requirements.txt" + docker exec pylinter bash -c "pip3 install -r /workspace/requirements-dev.txt" - name: Lint Python run: docker exec pylinter bash -c "cd /workspace && python3 /workspace/.github/scripts/run_py_linter.py" diff --git a/.gitignore b/.gitignore index dd940571ad..87a417c75a 100644 --- a/.gitignore +++ b/.gitignore @@ -64,4 +64,5 @@ bazel-TensorRT bazel-tensorrt .pytest_cache *.cache -*cifar-10-batches-py* \ No newline at end of file +*cifar-10-batches-py* +bazel-project diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000000..991e7284fd --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,29 @@ +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v2.3.0 + hooks: + - id: check-yaml + - id: trailing-whitespace + - id: check-added-large-files + - id: check-vcs-permalinks + - id: check-merge-conflict + - id: mixed-line-ending + args: + - --fix=lf + - repo: https://github.com/psf/black + rev: 22.6.0 + hooks: + - id: black + exclude: ^examples/custom_converters/elu_converter/setup.py + - repo: https://github.com/pre-commit/mirrors-clang-format + rev: v14.0.6 + hooks: + - id: clang-format + types_or: [c++, c, cuda] + - repo: https://github.com/keith/pre-commit-buildifier + rev: 5.1.0 + hooks: + - id: buildifier + args: + - --warnings=all + - id: buildifier-lint \ No newline at end of file diff --git a/.style.yapf b/.style.yapf index e2b50edca3..66fe13c370 100644 --- a/.style.yapf +++ b/.style.yapf @@ -5,4 +5,4 @@ COLUMN_LIMIT = 120 SPACES_BEFORE_COMMENT = 2 EACH_DICT_ENTRY_ON_SEPARATE_LINE = 1 SPLIT_BEFORE_FIRST_ARGUMENT = false -SPLIT_BEFORE_NAMED_ASSIGNS = true \ No newline at end of file +SPLIT_BEFORE_NAMED_ASSIGNS = true diff --git a/BUILD b/BUILD index f53e592c13..238d93ed05 100644 --- a/BUILD +++ b/BUILD @@ -15,9 +15,9 @@ pkg_tar( "//core/conversion:include", "//core/conversion/conversionctx:include", "//core/conversion/converters:include", - "//core/conversion/var:include", - "//core/conversion/tensorcontainer:include", "//core/conversion/evaluators:include", + "//core/conversion/tensorcontainer:include", + "//core/conversion/var:include", "//core/ir:include", "//core/lowering:include", "//core/lowering/passes:include", @@ -66,7 +66,7 @@ pkg_tar( srcs = [ "//:LICENSE", "//bzl_def:BUILD", - "//bzl_def:WORKSPACE" + "//bzl_def:WORKSPACE", ], extension = "tar.gz", package_dir = "torch_tensorrt", diff --git a/CHANGELOG.md b/CHANGELOG.md index 3448d2cd43..df24b61583 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -905,6 +905,3 @@ as it has no real functional effect Signed-off-by: Naren Dasan Signed-off-by: Naren Dasan - - - diff --git a/CMakeLists.txt b/CMakeLists.txt index 04d8697666..5ed15f1c79 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -2,7 +2,7 @@ cmake_minimum_required(VERSION 3.17) project(Torch-TensorRT LANGUAGES CXX) -# use c++17 +# use c++17 set(CMAKE_CXX_STANDARD 17) # Build the libraries with -fPIC @@ -22,7 +22,7 @@ if(MSVC) string(REPLACE "/Zi" "/Z7" CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG}") endif() # ----------------------------------------- -# compilation +# compilation # ----------------------------------------- add_subdirectory(core) add_subdirectory(cpp) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index dcfc1367c7..7c5014945d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -4,6 +4,10 @@ Do try to fill an issue with your feature or bug before filling a PR (op support is generally an exception as long as you provide tests to prove functionality). There is also a backlog (https://github.com/pytorch/TensorRT/issues) of issues which are tagged with the area of focus, a coarse priority level and whether the issue may be accessible to new contributors. Let us know if you are interested in working on a issue. We are happy to provide guidance and mentorship for new contributors. Though note, there is no claiming of issues, we prefer getting working code quickly vs. addressing concerns about "wasted work". +#### Development enviornment + +Our build system relies on `bazel` (https://bazel.build/). Though there are many ways to install `bazel`, the prefered method is to use `bazelisk` (https://github.com/bazelbuild/bazelisk) which makes it simple to set up the correct version of bazel on the fly. Additional developement dependencies can be installed via the `requirements-dev.txt` file. + #### Communication The primary location for discussion is GitHub issues and Github discussions. This is the best place for questions about the project and discussion about specific issues. @@ -51,5 +55,11 @@ We use the PyTorch Slack for communication about core development, integration w - We require that all contributors sign CLA for submitting PRs. In order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. +- We have Git hooks set up to perform common checks and pre-commit tasks such as linting for Python, C++ and Bazel files. In order to use these tools please install `pre-commit` as well as `buildifier` + +```sh +pip install pre-commit +go install github.com/bazelbuild/buildtools/buildifier@latest +``` Thanks in advance for your patience as we review your contributions; we do appreciate them! diff --git a/README.md b/README.md index 9cf094e1aa..6e8399c22a 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ Torch-TensorRT is a compiler for PyTorch/TorchScript/FX, targeting NVIDIA GPUs v Resources: - [Documentation](https://nvidia.github.io/Torch-TensorRT/) - [FX path Documentation](https://github.com/pytorch/TensorRT/blob/master/docsrc/tutorials/getting_started_with_fx_path.rst) -- [Torch-TensorRT Explained in 2 minutes!](https://www.youtube.com/watch?v=TU5BMU6iYZ0&ab_channel=NVIDIADeveloper) +- [Torch-TensorRT Explained in 2 minutes!](https://www.youtube.com/watch?v=TU5BMU6iYZ0&ab_channel=NVIDIADeveloper) - [Comprehensive Discusion (GTC Event)](https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31107/) - [Pre-built Docker Container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch). To use this container, make an NGC account and sign in to NVIDIA's registry with an API key. Refer to [this guide](https://docs.nvidia.com/ngc/ngc-catalog-user-guide/index.html#registering-activating-ngc-account) for the same. diff --git a/WORKSPACE b/WORKSPACE index 0e5169a5e0..0d38af9186 100644 --- a/WORKSPACE +++ b/WORKSPACE @@ -1,7 +1,7 @@ workspace(name = "Torch-TensorRT") -load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:git.bzl", "git_repository") +load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "rules_python", @@ -34,7 +34,7 @@ git_repository( # External dependency for torch_tensorrt if you already have precompiled binaries. local_repository( name = "torch_tensorrt", - path = "/opt/conda/lib/python3.8/site-packages/torch_tensorrt" + path = "/opt/conda/lib/python3.8/site-packages/torch_tensorrt", ) # CUDA should be installed on the system locally @@ -76,8 +76,8 @@ http_archive( http_archive( name = "cudnn", build_file = "@//third_party/cudnn/archive:BUILD", - sha256 = "ec96d2376d81fca42bdd3d4c3d705a99b29a065bab57f920561c763e29c67d01", - strip_prefix = "cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive", + sha256 = "7f3fbe6201708de409532a32d647af6b4bdb10d7f045d557270549e286487289", + strip_prefix = "cudnn-linux-x86_64-8.4.1.114_cuda11.4-archive", urls = [ "https://developer.nvidia.com/compute/cudnn/secure/8.4.1/local_installers/11.6/cudnn-linux-x86_64-8.4.1.50_cuda11.6-archive.tar.xz", ], @@ -128,20 +128,11 @@ http_archive( # build_file = "@//third_party/tensorrt/local:BUILD" #) -# ######################################################################### -# # Testing Dependencies (optional - comment out on aarch64) -# ######################################################################### -# pip_install( -# name = "torch_tensorrt_py_deps", -# requirements = "//py:requirements.txt", -# ) - -# pip_install( -# name = "py_test_deps", -# requirements = "//tests/py:requirements.txt", -# ) +######################################################################### +# Development Dependencies (optional - comment out on aarch64) +######################################################################### pip_install( - name = "pylinter_deps", - requirements = "//tools/linter:requirements.txt", + name = "devtools_deps", + requirements = "//:requirements-dev.txt", ) diff --git a/bzl_def/BUILD b/bzl_def/BUILD index d13f01b5f2..9ad8e83c98 100644 --- a/bzl_def/BUILD +++ b/bzl_def/BUILD @@ -1,3 +1,5 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -18,56 +20,56 @@ config_setting( cc_library( name = "libtorchtrt", srcs = select({ - ":windows": [ - "lib/x64/torchtrt.dll", - ], - "//conditions:default": [ - "lib/libtorchtrt.so", - ], + ":windows": [ + "lib/x64/torchtrt.dll", + ], + "//conditions:default": [ + "lib/libtorchtrt.so", + ], }), hdrs = glob([ "include/**/*.h", ]), + includes = ["include/"], strip_include_prefix = "include", - includes = ["include/"] ) cc_library( name = "libtorchtrt_runtime", srcs = select({ ":windows": [ - "lib/x64/torchtrt_runtime.dll" + "lib/x64/torchtrt_runtime.dll", ], "//conditions:default": [ - "lib/libtorchtrt_runtime.so" - ] - }) + "lib/libtorchtrt_runtime.so", + ], + }), ) cc_library( name = "libtorchtrt_plugins", srcs = select({ ":windows": [ - "lib/x64/torchtrt_plugins.dll" + "lib/x64/torchtrt_plugins.dll", ], "//conditions:default": [ - "lib/libtorchtrt_plugins.so" - ] + "lib/libtorchtrt_plugins.so", + ], }), hdrs = glob([ "include/torch_tensorrt/core/plugins/**/*.h", ]), + includes = ["include/"], strip_include_prefix = "include", - includes = ["include/"] ) cc_library( name = "torch_tensorrt_core_hdrs", hdrs = glob([ - "include/torch_tensorrt/core/**/*.h" + "include/torch_tensorrt/core/**/*.h", ]), + includes = ["include/torch_tensorrt/"], strip_include_prefix = "include/torch_tensorrt", - includes = ["include/torch_tensorrt/"] ) # Alias for ease of use @@ -75,5 +77,5 @@ cc_library( name = "torch_tensorrt", deps = [ ":libtorchtrt", - ] -) \ No newline at end of file + ], +) diff --git a/bzl_def/BUILD.bazel b/bzl_def/BUILD.bazel index 9dd0f59f6e..15f7822df5 100644 --- a/bzl_def/BUILD.bazel +++ b/bzl_def/BUILD.bazel @@ -1,6 +1,6 @@ package(default_visibility = ["//visibility:public"]) exports_files([ - "WORKSPACE", - "BUILD" -]) \ No newline at end of file + "WORKSPACE", + "BUILD", +]) diff --git a/bzl_def/WORKSPACE b/bzl_def/WORKSPACE index 00a50cc177..5ef6dd8e0c 100644 --- a/bzl_def/WORKSPACE +++ b/bzl_def/WORKSPACE @@ -1 +1 @@ -workspace(name = "torch_tensorrt") \ No newline at end of file +workspace(name = "torch_tensorrt") diff --git a/cmake/Modules/FindTensorRT.cmake b/cmake/Modules/FindTensorRT.cmake index 016ec3064c..55435ff916 100644 --- a/cmake/Modules/FindTensorRT.cmake +++ b/cmake/Modules/FindTensorRT.cmake @@ -88,14 +88,14 @@ if(TensorRT_FOUND) PATH_SUFFIXES bin ) endforeach() - + set_target_properties(TensorRT::nvinfer PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${TensorRT_INCLUDE_DIRS}" IMPORTED_LOCATION "${TensorRT_LIBRARY_DLL}" IMPORTED_IMPLIB "${TensorRT_LIBRARY}" ) else() - set_target_properties(TensorRT::nvinfer PROPERTIES + set_target_properties(TensorRT::nvinfer PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${TensorRT_INCLUDE_DIRS}" IMPORTED_LOCATION "${TensorRT_LIBRARY}" ) @@ -114,13 +114,13 @@ if(TensorRT_FOUND) ) endforeach() - set_target_properties(TensorRT::nvinfer_plugin PROPERTIES + set_target_properties(TensorRT::nvinfer_plugin PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${TensorRT_INCLUDE_DIRS}" IMPORTED_LOCATION "${TensorRT_nvinfer_plugin_LIBRARY_DLL}" IMPORTED_IMPLIB "${TensorRT_nvinfer_plugin_LIBRARY}" ) else() - set_target_properties(TensorRT::nvinfer_plugin PROPERTIES + set_target_properties(TensorRT::nvinfer_plugin PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${TensorRT_INCLUDE_DIRS}" IMPORTED_LOCATION "${TensorRT_nvinfer_plugin_LIBRARY}" ) diff --git a/cmake/build_options.cmake b/cmake/build_options.cmake index 210bdf6813..754cec8ccc 100644 --- a/cmake/build_options.cmake +++ b/cmake/build_options.cmake @@ -24,5 +24,3 @@ if(NOT CMAKE_CONFIGURATION_TYPES) ${VALID_BUILD_TYPES}) endif() endif() - - diff --git a/cmake/dependencies.cmake b/cmake/dependencies.cmake index 5d8b1c15cd..a2d994eb1a 100644 --- a/cmake/dependencies.cmake +++ b/cmake/dependencies.cmake @@ -13,7 +13,7 @@ install(FILES "${CMAKE_SOURCE_DIR}/cmake/Modules/FindcuDNN.cmake" DESTINATION "$ find_package(CUDAToolkit REQUIRED) find_package(cuDNN REQUIRED) # Headers are needed somewhere -# libtorch +# libtorch find_package(Torch REQUIRED) find_package(Threads REQUIRED) diff --git a/cmake/paths.cmake b/cmake/paths.cmake index df07ddf63d..3822c698ff 100644 --- a/cmake/paths.cmake +++ b/cmake/paths.cmake @@ -9,4 +9,4 @@ set(HEADERS_OUTPUT_DIRECTORY "include") #Set target ouput directory in the build directory set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/${ARCHIVE_OUTPUT_DIRECTORY}") set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/${LIBRARY_OUTPUT_DIRECTORY}") -set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/${RUNTIME_OUTPUT_DIRECTORY}") \ No newline at end of file +set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/${RUNTIME_OUTPUT_DIRECTORY}") diff --git a/core/BUILD b/core/BUILD index c6bfba6fee..d802a8eff6 100644 --- a/core/BUILD +++ b/core/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -36,8 +39,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = [ diff --git a/core/CMakeLists.txt b/core/CMakeLists.txt index ed66257ee0..c360bff025 100644 --- a/core/CMakeLists.txt +++ b/core/CMakeLists.txt @@ -9,7 +9,7 @@ set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/compiler.h" ) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE ${CXX_SRCS} PUBLIC @@ -31,7 +31,7 @@ target_link_libraries(${lib_name} core_util_logging ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PRIVATE "$" ) diff --git a/core/conversion/BUILD b/core/conversion/BUILD index 99fde4d2a2..c7d7b68934 100644 --- a/core/conversion/BUILD +++ b/core/conversion/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -30,8 +33,6 @@ cc_library( }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["conversion.h"], diff --git a/core/conversion/CMakeLists.txt b/core/conversion/CMakeLists.txt index dd8853f390..08ba27cfa9 100644 --- a/core/conversion/CMakeLists.txt +++ b/core/conversion/CMakeLists.txt @@ -1,7 +1,7 @@ set(lib_name "core_conversion") add_library(${lib_name} OBJECT) -set(CXX_SRCS +set(CXX_SRCS "${CMAKE_CURRENT_SOURCE_DIR}/conversion.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/conversion_ignorelist.cpp" ) @@ -10,7 +10,7 @@ set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/conversion.h" ) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE ${CXX_SRCS} PUBLIC @@ -18,14 +18,14 @@ target_sources(${lib_name} $ ) -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC TensorRT::nvinfer torch core_ir core_util ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PUBLIC "$" ) diff --git a/core/conversion/conversionctx/BUILD b/core/conversion/conversionctx/BUILD index 5aa01324c3..bf76b9b905 100644 --- a/core/conversion/conversionctx/BUILD +++ b/core/conversion/conversionctx/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -24,8 +27,6 @@ cc_library( }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["ConversionCtx.h"], diff --git a/core/conversion/conversionctx/CMakeLists.txt b/core/conversion/conversionctx/CMakeLists.txt index 8a642561b3..8bfe3d3374 100644 --- a/core/conversion/conversionctx/CMakeLists.txt +++ b/core/conversion/conversionctx/CMakeLists.txt @@ -1,12 +1,12 @@ set(sub_lib_name "conversionctx") -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/ConversionCtx.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/ConversionCtx.h" ) # Install headers -install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") \ No newline at end of file +install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") diff --git a/core/conversion/converters/BUILD b/core/conversion/converters/BUILD index ff28a4a892..95dde838dc 100755 --- a/core/conversion/converters/BUILD +++ b/core/conversion/converters/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -26,14 +29,13 @@ cc_library( alwayslink = True, ) - cc_library( name = "converter_util", srcs = [ - "converter_util.cpp" + "converter_util.cpp", ], hdrs = [ - "converter_util.h" + "converter_util.h", ], deps = [ ":weights", @@ -47,7 +49,6 @@ cc_library( alwayslink = True, ) - cc_library( name = "converters", srcs = [ @@ -68,6 +69,7 @@ cc_library( "impl/linear.cpp", "impl/lstm_cell.cpp", "impl/matrix_multiply.cpp", + "impl/max.cpp", "impl/normalize.cpp", "impl/pooling.cpp", "impl/quantization.cpp", @@ -80,7 +82,6 @@ cc_library( "impl/squeeze.cpp", "impl/stack.cpp", "impl/topk.cpp", - "impl/max.cpp", "impl/unary.cpp", "impl/unsqueeze.cpp", ], @@ -94,7 +95,7 @@ cc_library( "//core/conversion/tensorcontainer", "//core/conversion/conversionctx", "//core/plugins:torch_tensorrt_plugins", - ":converter_util" + ":converter_util", ] + select({ ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], "//conditions:default": ["@libtorch//:libtorch"], @@ -102,14 +103,12 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = [ "Weights.h", + "converter_util.h", "converters.h", - "converter_util.h" ], package_dir = "core/conversion/converters/", ) diff --git a/core/conversion/converters/CMakeLists.txt b/core/conversion/converters/CMakeLists.txt index c94c8fccf4..c90a81a6cc 100644 --- a/core/conversion/converters/CMakeLists.txt +++ b/core/conversion/converters/CMakeLists.txt @@ -1,6 +1,6 @@ set(sub_lib_name "converters") -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/NodeConverterRegistry.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/converter_util.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/Weights.cpp" @@ -18,8 +18,8 @@ target_sources(${lib_name} "${CMAKE_CURRENT_SOURCE_DIR}/impl/layer_norm.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/linear.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/lstm_cell.cpp" - "${CMAKE_CURRENT_SOURCE_DIR}/impl/matrix_multiply.cpp" - "${CMAKE_CURRENT_SOURCE_DIR}/impl/max.cpp" + "${CMAKE_CURRENT_SOURCE_DIR}/impl/matrix_multiply.cpp" + "${CMAKE_CURRENT_SOURCE_DIR}/impl/max.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/normalize.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/pooling.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/quantization.cpp" @@ -36,7 +36,7 @@ target_sources(${lib_name} "${CMAKE_CURRENT_SOURCE_DIR}/impl/unsqueeze.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/Weights.h" "${CMAKE_CURRENT_SOURCE_DIR}/converters.h" "${CMAKE_CURRENT_SOURCE_DIR}/converter_util.h" diff --git a/core/conversion/converters/README.md b/core/conversion/converters/README.md index 1f6367d327..f38d34e37e 100644 --- a/core/conversion/converters/README.md +++ b/core/conversion/converters/README.md @@ -3,7 +3,7 @@ A Library of converters which map from LibTorch Ops to TensorRT Layers ## Writing a converter -Converters should be functions which will use a list of inputs (either `nvinfer1::ITensors` or `torch::jit::IValues`) to construct an equivalent layer to the LibTorch op. +Converters should be functions which will use a list of inputs (either `nvinfer1::ITensors` or `torch::jit::IValues`) to construct an equivalent layer to the LibTorch op. Converters can be registered using the `RegisterNodeConversionPatterns` helper class where you instantiate a RegisterNodeConversionPatterns object and call the pattern function on it (like below) which takes a string which describes the function schema of the op and a lambda or function which will do the actual conversion: > Note the pattern function can be chained @@ -45,35 +45,35 @@ auto relu_registrations = RegisterNodeConversionPatterns() ### Args -Arguments provided to the converter are unions of `nvinfer1::ITensors` and `torch::jit::IValues` (i.e. abstract dataflow in the TensorRT graph and static values). You are guaranteed that you will have some argument for each input value for the node. They are provided in the order of the function schema (to be verified). It can be expected that inputs (meaning the parameters that would be passed into the forward function in PyTorch) will be ITensors but the Arg class also has mechanisms to inspect arguments safely before unwrapping if you are unsure. Args also have unwrap methods that let you get straight to the underlying data in an IValue if you know it's safe, you can also pass in a fallback value if there is a chance the IValue is None. +Arguments provided to the converter are unions of `nvinfer1::ITensors` and `torch::jit::IValues` (i.e. abstract dataflow in the TensorRT graph and static values). You are guaranteed that you will have some argument for each input value for the node. They are provided in the order of the function schema (to be verified). It can be expected that inputs (meaning the parameters that would be passed into the forward function in PyTorch) will be ITensors but the Arg class also has mechanisms to inspect arguments safely before unwrapping if you are unsure. Args also have unwrap methods that let you get straight to the underlying data in an IValue if you know it's safe, you can also pass in a fallback value if there is a chance the IValue is None. ### Weights -Weights are used during build time, so any weights need to be guaranteed to live until the end of conversion time. TensorRT also uses its own weights structure to hold the weights. There is a wrapper around this class available to converts which abstracts a lot of this. +Weights are used during build time, so any weights need to be guaranteed to live until the end of conversion time. TensorRT also uses its own weights structure to hold the weights. There is a wrapper around this class available to converts which abstracts a lot of this. -The weights wrapper class can accept either `at::Tensor`s or singular values (right now). You also need to pass the conversion context when constructing these weights because internally the weights class will allocate memory managed by the conversion context to store a copy of the tensor data. This data gets freed when the conversion context destructor gets destroyed so converters don't really need to think about it. +The weights wrapper class can accept either `at::Tensor`s or singular values (right now). You also need to pass the conversion context when constructing these weights because internally the weights class will allocate memory managed by the conversion context to store a copy of the tensor data. This data gets freed when the conversion context destructor gets destroyed so converters don't really need to think about it. -There is metadata generated from the shape of the input data which becomes useful in interfacing with TensorRT, such as number of input maps, number of output maps and kernel shape. +There is metadata generated from the shape of the input data which becomes useful in interfacing with TensorRT, such as number of input maps, number of output maps and kernel shape. ### Other advice -You have the benefit of the full aten library when dealing with weights and other static values. This means that you can do quite a bit of work during conversion time to produce efficient conversion. A good example is 2D batch_norm converter where the converter does fusion of the batch norm operations to a conv layer in the converter using the tensors passed in. +You have the benefit of the full aten library when dealing with weights and other static values. This means that you can do quite a bit of work during conversion time to produce efficient conversion. A good example is 2D batch_norm converter where the converter does fusion of the batch norm operations to a conv layer in the converter using the tensors passed in. ## Converter Contract Here is what is guaranteed to converters 1. In the args there will be an entry for each node input value, either a ITensor or IValue -2. **Need to verify for sure** Inputs will always be provided in order according to the function schema +2. **Need to verify for sure** Inputs will always be provided in order according to the function schema Here are the responsibilities of a converter -1. Args must be guaranteed to be a type to unwrap the Arg union without checking, typically input arguments can be expected to be ITensors -2. Any weights or static values must guaranteed to be valid until the end of conversion time +1. Args must be guaranteed to be a type to unwrap the Arg union without checking, typically input arguments can be expected to be ITensors +2. Any weights or static values must guaranteed to be valid until the end of conversion time 1. A helpful tool is the Weights helper class described above 3. Outputs must be annotated 1. There must be an association between a JIT nodes output values and the new TRT layers output tensors in the value_tensor_map in the conversion context -4. Name your layers - 1. Its much easier to debug when we can track which layers and nodes correspond with each other. The system we are currently using is to use the node_info of the node as the name of the layer -5. Name your tensors - 1. Use the output value debug name as the name for the new ITensor (again for debugging) \ No newline at end of file +4. Name your layers + 1. Its much easier to debug when we can track which layers and nodes correspond with each other. The system we are currently using is to use the node_info of the node as the name of the layer +5. Name your tensors + 1. Use the output value debug name as the name for the new ITensor (again for debugging) diff --git a/core/conversion/converters/impl/activation.cpp b/core/conversion/converters/impl/activation.cpp index 38ee37b0e1..95be9b670d 100644 --- a/core/conversion/converters/impl/activation.cpp +++ b/core/conversion/converters/impl/activation.cpp @@ -42,24 +42,25 @@ convert(tanh, kTANH); auto acthardtanh TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::hardtanh(Tensor self, Scalar min_val=-1, Scalar max_val=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto min = args[1].unwrapToDouble(); - auto max = args[2].unwrapToDouble(); + .pattern( + {"aten::hardtanh(Tensor self, Scalar min_val=-1, Scalar max_val=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto min = args[1].unwrapToDouble(); + auto max = args[2].unwrapToDouble(); - auto new_layer = ctx->net->addActivation(*in, nvinfer1::ActivationType::kCLIP); - TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::hardtanh"); + auto new_layer = ctx->net->addActivation(*in, nvinfer1::ActivationType::kCLIP); + TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::hardtanh"); - new_layer->setAlpha(min); - new_layer->setBeta(max); + new_layer->setAlpha(min); + new_layer->setBeta(max); - new_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); + new_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) .pattern({// TODO: Remove after functionalization "aten::hardtanh_(Tensor(a!) self, Scalar min_val=-1, Scalar max_val=1) -> (Tensor(a!))", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { @@ -146,48 +147,51 @@ auto acthardtanh TORCHTRT_UNUSED = LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); return true; }}) - .pattern({"aten::leaky_relu(Tensor self, Scalar negative_slope=0.01) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto negative_slopeScalar = args[1].unwrapToScalar().to(); + .pattern( + {"aten::leaky_relu(Tensor self, Scalar negative_slope=0.01) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto negative_slopeScalar = args[1].unwrapToScalar().to(); - auto new_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kLEAKY_RELU); - new_layer->setAlpha(negative_slopeScalar); + auto new_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kLEAKY_RELU); + new_layer->setAlpha(negative_slopeScalar); - new_layer->setName(util::node_info(n).c_str()); - auto out_tensor = new_layer->getOutput(0); - out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], out_tensor); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) - .pattern({"aten::leaky_relu_(Tensor(a!) self, Scalar negative_slope=0.01) -> Tensor(a!)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto negative_slopeScalar = args[1].unwrapToScalar().to(); + new_layer->setName(util::node_info(n).c_str()); + auto out_tensor = new_layer->getOutput(0); + out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], out_tensor); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) + .pattern( + {"aten::leaky_relu_(Tensor(a!) self, Scalar negative_slope=0.01) -> Tensor(a!)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto negative_slopeScalar = args[1].unwrapToScalar().to(); - auto new_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kLEAKY_RELU); - new_layer->setAlpha(negative_slopeScalar); - new_layer->setName(util::node_info(n).c_str()); - auto out_tensor = new_layer->getOutput(0); - out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], out_tensor); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) - .pattern({"aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto alpha = args[1].unwrapToDouble(); + auto new_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kLEAKY_RELU); + new_layer->setAlpha(negative_slopeScalar); + new_layer->setName(util::node_info(n).c_str()); + auto out_tensor = new_layer->getOutput(0); + out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], out_tensor); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) + .pattern( + {"aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto alpha = args[1].unwrapToDouble(); - auto new_layer = ctx->net->addActivation(*in, nvinfer1::ActivationType::kELU); - TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::elu"); - new_layer->setAlpha(alpha); + auto new_layer = ctx->net->addActivation(*in, nvinfer1::ActivationType::kELU); + TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::elu"); + new_layer->setAlpha(alpha); - new_layer->setName(util::node_info(n).c_str()); + new_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}); } // namespace } // namespace impl } // namespace converters diff --git a/core/conversion/converters/impl/cast.cpp b/core/conversion/converters/impl/cast.cpp index fb4d40cd61..04323d171a 100644 --- a/core/conversion/converters/impl/cast.cpp +++ b/core/conversion/converters/impl/cast.cpp @@ -1,92 +1,92 @@ -#include -#include "core/conversion/converters/converter_util.h" -#include "core/conversion/converters/converters.h" -#include "core/util/prelude.h" -#include "core/util/trt_util.h" - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -auto cast_registrations TORCHTRT_UNUSED = - RegisterNodeConversionPatterns() - .pattern( - {"aten::to.dtype(Tensor self, int dtype, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto output_dtype = args[1].unwrapToScalar().to(); - auto scalar_dtype = static_cast(output_dtype); - nvinfer1::DataType trt_dtype; - if (scalar_dtype == at::kLong) { - LOG_WARNING("Truncating aten::to output type from at::kLong to at::kInt"); - trt_dtype = nvinfer1::DataType::kINT32; - } else { - trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); - } - auto casted_itensor = castITensor(ctx, self, trt_dtype); - auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); - LOG_DEBUG("[aten::to.dtype] Output tensor shape: " << output->getDimensions()); - - return true; - }}) - .pattern( - {"aten::to.device(Tensor(a) self, Device device, int dtype, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // what this function does is basically the same with the previous one, however, we cannot lower this - // signature to previous one because this will incur the device issues when we run Torchscript module in - // later shape analysis phase of fallback - auto self = args[0].ITensorOrFreeze(ctx); - auto output_dtype = args[2].unwrapToScalar().to(); - auto scalar_dtype = static_cast(output_dtype); - nvinfer1::DataType trt_dtype; - if (scalar_dtype == at::kLong) { - LOG_WARNING("Truncating aten::to output type from at::kLong to at::kInt"); - trt_dtype = nvinfer1::DataType::kINT32; - } else { - trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); - } - auto casted_itensor = castITensor(ctx, self, trt_dtype); - auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); - LOG_DEBUG("[aten::to.device] Output tensor shape: " << output->getDimensions()); - - return true; - }}) - .pattern( - {"aten::to.other(Tensor self, Tensor other, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - nvinfer1::DataType other_dtype = args[1].ITensorOrFreeze(ctx)->getType(); - auto casted_itensor = castITensor(ctx, self, other_dtype); - auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); - LOG_DEBUG("[aten::to.other] Output tensor shape: " << output->getDimensions()); - - return true; - }}) - .pattern( - {"aten::to.prim_Device(Tensor(a) self, Device? device, int? dtype=None, bool non_blocking=False, bool copy=False) -> (Tensor(b|a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - if (args[2].isIValue() && !args[2].IValue()->isScalar()) { - auto output = ctx->AssociateValueAndTensor(n->outputs()[0], self); - LOG_DEBUG("[aten::to.prim_Device] Output tensor shape: " << output->getDimensions()); - return true; - } - - auto output_dtype = args[2].unwrapToScalar().to(); - auto trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); - auto casted_itensor = castITensor(ctx, self, trt_dtype); - auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); - LOG_DEBUG("[aten::to.prim_Device] Output tensor shape: " << output->getDimensions()); - - return true; - }}); -// clang-format on -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt +#include +#include "core/conversion/converters/converter_util.h" +#include "core/conversion/converters/converters.h" +#include "core/util/prelude.h" +#include "core/util/trt_util.h" + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +auto cast_registrations TORCHTRT_UNUSED = + RegisterNodeConversionPatterns() + .pattern( + {"aten::to.dtype(Tensor self, int dtype, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto output_dtype = args[1].unwrapToScalar().to(); + auto scalar_dtype = static_cast(output_dtype); + nvinfer1::DataType trt_dtype; + if (scalar_dtype == at::kLong) { + LOG_WARNING("Truncating aten::to output type from at::kLong to at::kInt"); + trt_dtype = nvinfer1::DataType::kINT32; + } else { + trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); + } + auto casted_itensor = castITensor(ctx, self, trt_dtype); + auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); + LOG_DEBUG("[aten::to.dtype] Output tensor shape: " << output->getDimensions()); + + return true; + }}) + .pattern( + {"aten::to.device(Tensor(a) self, Device device, int dtype, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // what this function does is basically the same with the previous one, however, we cannot lower this + // signature to previous one because this will incur the device issues when we run Torchscript module in + // later shape analysis phase of fallback + auto self = args[0].ITensorOrFreeze(ctx); + auto output_dtype = args[2].unwrapToScalar().to(); + auto scalar_dtype = static_cast(output_dtype); + nvinfer1::DataType trt_dtype; + if (scalar_dtype == at::kLong) { + LOG_WARNING("Truncating aten::to output type from at::kLong to at::kInt"); + trt_dtype = nvinfer1::DataType::kINT32; + } else { + trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); + } + auto casted_itensor = castITensor(ctx, self, trt_dtype); + auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); + LOG_DEBUG("[aten::to.device] Output tensor shape: " << output->getDimensions()); + + return true; + }}) + .pattern( + {"aten::to.other(Tensor self, Tensor other, bool non_blocking=False, bool copy=False, int? memory_format=None) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + nvinfer1::DataType other_dtype = args[1].ITensorOrFreeze(ctx)->getType(); + auto casted_itensor = castITensor(ctx, self, other_dtype); + auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); + LOG_DEBUG("[aten::to.other] Output tensor shape: " << output->getDimensions()); + + return true; + }}) + .pattern( + {"aten::to.prim_Device(Tensor(a) self, Device? device, int? dtype=None, bool non_blocking=False, bool copy=False) -> (Tensor(b|a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + if (args[2].isIValue() && !args[2].IValue()->isScalar()) { + auto output = ctx->AssociateValueAndTensor(n->outputs()[0], self); + LOG_DEBUG("[aten::to.prim_Device] Output tensor shape: " << output->getDimensions()); + return true; + } + + auto output_dtype = args[2].unwrapToScalar().to(); + auto trt_dtype = util::ScalarTypeToTRTDataType(static_cast(output_dtype)); + auto casted_itensor = castITensor(ctx, self, trt_dtype); + auto output = ctx->AssociateValueAndTensor(n->outputs()[0], casted_itensor); + LOG_DEBUG("[aten::to.prim_Device] Output tensor shape: " << output->getDimensions()); + + return true; + }}); +// clang-format on +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/constant_pad.cpp b/core/conversion/converters/impl/constant_pad.cpp index 8520b64a8e..679a23f875 100644 --- a/core/conversion/converters/impl/constant_pad.cpp +++ b/core/conversion/converters/impl/constant_pad.cpp @@ -153,4 +153,4 @@ auto constant_pad_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns } // namespace converters } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/conv_deconv.cpp b/core/conversion/converters/impl/conv_deconv.cpp index 014ac207bd..d2fe4aa52a 100644 --- a/core/conversion/converters/impl/conv_deconv.cpp +++ b/core/conversion/converters/impl/conv_deconv.cpp @@ -194,7 +194,7 @@ bool add_conv_deconv(ConversionCtx* ctx, const torch::jit::Node* n, args& args) nvinfer1::Dims stride; stride.nbDims = in_nbDims; - for (size_t i = 0; i < in_nbDims; i++) { + for (int64_t i = 0; i < in_nbDims; i++) { stride.d[i] = 1; } const auto& dummy = stride; @@ -206,7 +206,7 @@ bool add_conv_deconv(ConversionCtx* ctx, const torch::jit::Node* n, args& args) nvinfer1::Dims constantDims; constantDims.nbDims = in_nbDims; - for (size_t i = 0; i < in_nbDims; i++) { + for (int64_t i = 0; i < in_nbDims; i++) { constantDims.d[i] = 1; } constantDims.d[diff - 1] = @@ -273,4 +273,4 @@ auto conv_registrations TORCHTRT_UNUSED = } // namespace converters } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/element_wise.cpp b/core/conversion/converters/impl/element_wise.cpp index da9d58ef43..f2770508ca 100644 --- a/core/conversion/converters/impl/element_wise.cpp +++ b/core/conversion/converters/impl/element_wise.cpp @@ -48,758 +48,775 @@ nvinfer1::ITensor* scalar_to_tensor(ConversionCtx* ctx, at::Scalar s) { auto element_wise_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::add.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> " - "Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self + alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto scalar = args[2].unwrapToScalar().to(); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - other, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - other = scaleLayer->getOutput(0); - } - - auto add = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); - TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); - - add->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar " - "alpha=1) -> (Tensor(a!))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self + alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto scalar = args[2].unwrapToScalar().to(); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - other, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - other = scaleLayer->getOutput(0); - } - - auto add = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); - TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); - - add->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::add.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self + alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[2].unwrapToScalar().to() * args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - - auto add = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); - TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); - - add->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Compute min(max(min_threshold, input), max_threshold) - auto self = args[0].ITensorOrFreeze(ctx); - auto clamp_layer_out = self; - - if (args[1].isIValue() && args[1].IValue()->isScalar() && args[2].isIValue() && - args[2].IValue()->isScalar()) { - auto alpha = args[1].unwrapToScalar().to(); - auto beta = args[2].unwrapToScalar().to(); - auto clip_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kCLIP); - TORCHTRT_CHECK(clip_layer, "Unable to create clip layer for node: " << *n); - clip_layer->setAlpha(alpha); - clip_layer->setBeta(beta); - clamp_layer_out = clip_layer->getOutput(0); - } else if (args[1].isIValue() && args[1].IValue()->isScalar()) { - auto limit = args[1].unwrapToScalar().to(); - clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMAX, "_max"); - } else if (args[2].isIValue() && args[2].IValue()->isScalar()) { - auto limit = args[2].unwrapToScalar().to(); - clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMIN, "_min"); - } - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); - LOG_DEBUG("Clamp layer output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::clamp_min(Tensor self, Scalar min) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Compute min(max(min_threshold, input), max_threshold) - auto self = args[0].ITensorOrFreeze(ctx); - auto clamp_layer_out = self; - if (args[1].isIValue() && args[1].IValue()->isScalar()) { - auto limit = args[1].unwrapToScalar().to(); - clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMAX, "_max"); - } - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); - LOG_DEBUG("clamp_min layer output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::clamp_max(Tensor self, Scalar max) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Compute min(max(min_threshold, input), max_threshold) - auto self = args[0].ITensorOrFreeze(ctx); - auto clamp_layer_out = self; - if (args[1].isIValue() && args[1].IValue()->isScalar()) { - auto limit = args[1].unwrapToScalar().to(); - clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMIN, "_min"); - } - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); - LOG_DEBUG("clamp_max layer output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::sub.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> " - "Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self - alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto scalar = args[2].unwrapToScalar().to(); - auto other = args[1].ITensorOrFreeze(ctx); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - other, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - other = scaleLayer->getOutput(0); - } - - auto sub = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, self, other, util::node_info(n)); - TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); - - sub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::sub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self - alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].unwrapToScalar().to(); - auto alpha = args[2].unwrapToScalar().to(); - auto scaled_val = other * alpha; - - auto scaled_other_tensor = tensor_to_const(ctx, torch::tensor({scaled_val})); - auto sub = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kSUB, self, scaled_other_tensor, util::node_info(n)); - TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); - sub->setName(util::node_info(n).c_str()); - LOG_DEBUG("Output tensor shape: " << sub->getOutput(0)->getDimensions()); - ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); - - return true; - }}) - .pattern({"aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar " - "alpha=1) -> (Tensor(a!))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self - alpha * other - auto self = args[0].ITensorOrFreeze(ctx); - auto scalar = args[2].unwrapToScalar().to(); - auto other = args[1].ITensorOrFreeze(ctx); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - other, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - other = scaleLayer->getOutput(0); - } - - auto sub = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, self, other, util::node_info(n)); - TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); - - sub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::rsub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement other - alpha * self - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - auto scalar = args[2].unwrapToScalar().to(); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - self, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - self = scaleLayer->getOutput(0); - } - - auto rsub = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, other, self, util::node_info(n)); - TORCHTRT_CHECK(rsub, "Unable to create rsub layer from node: " << *n); - - rsub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], rsub->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::rsub.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement other - alpha * self - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto scalar = args[2].unwrapToScalar().to(); - - if (1 != scalar) { - auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); - auto scaleLayer = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - self, - alphaTensor, - util::node_info(n) + std::string("_AlphaMultiplier")); - TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); - self = scaleLayer->getOutput(0); - } - - auto rsub = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, other, self, util::node_info(n)); - TORCHTRT_CHECK(rsub, "Unable to create rsub layer from node: " << *n); - - rsub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], rsub->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::div.Tensor(Tensor self, Tensor other) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self / other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto div = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); - - TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); - - div->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self / other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - std::string rounding_mode = "default"; - if (args[2].isIValue() && args[2].IValue()->isString()) { - rounding_mode = args[2].unwrapToString(); - } - nvinfer1::ILayer* div = nullptr; - if (rounding_mode == "floor") { - div = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); - } else if (rounding_mode == "trunc") { - // trunc = floor(abs(div)) * sign(div) - auto tmp_div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, "tmp_div"); - auto abs = ctx->net->addUnary(*tmp_div->getOutput(0), nvinfer1::UnaryOperation::kABS); - auto floor = ctx->net->addUnary(*abs->getOutput(0), nvinfer1::UnaryOperation::kFLOOR); - auto sign = ctx->net->addUnary(*tmp_div->getOutput(0), nvinfer1::UnaryOperation::kSIGN); - div = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kPROD, - floor->getOutput(0), - sign->getOutput(0), - util::node_info(n)); - } else { - div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); - } - - TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); - - div->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::div.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - auto div = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); - TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); - - div->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::div_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto div = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); - - TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); - - div->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::div_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - auto div = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); - TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); - - div->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::mul.Tensor(Tensor self, Tensor other) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // Should implement self * other - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - - auto mul = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); - TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); - - mul->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::mul.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); - - auto mul = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); - TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); - - mul->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto mul = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); - TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); - - mul->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::ne.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto equal = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kEQUAL, - self, - other, - util::node_info(n) + std::string("is_equal")); - TORCHTRT_CHECK(equal, "Unable to create elementwise equal layer from node: " << *n); - // XOR with ones negates and produces not_equal result - auto options = torch::TensorOptions().dtype(torch::kFloat32); - auto ones = at::full({1}, 1, {options}); - auto ones_tensor = tensor_to_const(ctx, ones); - nvinfer1::IIdentityLayer* cast_layer = ctx->net->addIdentity(*ones_tensor); - cast_layer->setOutputType(0, nvinfer1::DataType::kBOOL); - - auto sub = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kXOR, - cast_layer->getOutput(0), - equal->getOutput(0), - util::node_info(n)); - TORCHTRT_CHECK(sub, "Unable to create ne (not equal) layer from node: " << *n); - - sub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); - LOG_DEBUG("Not equal layer output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::ne.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto scalar = args[1].unwrapToScalar(); - nvinfer1::ITensor* scalar_tensor; - if (self->getType() == nvinfer1::DataType::kFLOAT || self->getType() == nvinfer1::DataType::kHALF) { - scalar_tensor = tensor_to_const(ctx, torch::tensor({scalar.to()})); - } else { - scalar_tensor = tensor_to_const(ctx, torch::tensor({scalar.to()})); - } - auto equal = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kEQUAL, - self, - scalar_tensor, - util::node_info(n) + std::string("is_equal")); - TORCHTRT_CHECK(equal, "Unable to create elementwise equal layer from node: " << *n); - // XOR with ones negates and produces not_equal result - auto options = torch::TensorOptions().dtype(torch::kFloat32); - auto ones = at::full({1}, 1, {options}); - auto ones_tensor = tensor_to_const(ctx, ones); - nvinfer1::IIdentityLayer* cast_layer = ctx->net->addIdentity(*ones_tensor); - cast_layer->setOutputType(0, nvinfer1::DataType::kBOOL); - - auto sub = add_elementwise( - ctx, - nvinfer1::ElementWiseOperation::kXOR, - cast_layer->getOutput(0), - equal->getOutput(0), - util::node_info(n)); - TORCHTRT_CHECK(sub, "Unable to create ne (not equal) layer from node: " << *n); - - sub->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); - LOG_DEBUG("Not equal layer output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto exponent = args[1].ITensorOrFreeze(ctx); - auto pow = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPOW, self, exponent, util::node_info(n)); - TORCHTRT_CHECK(pow, "Unable to create Power layer from node: " << *n); - - pow->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], pow->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto exponentScalar = args[1].unwrapToScalar().to(); - auto exponent = tensor_to_const(ctx, torch::tensor({exponentScalar})); - auto pow = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPOW, self, exponent, util::node_info(n)); - TORCHTRT_CHECK(pow, "Unable to create Power layer from node: " << *n); - - pow->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], pow->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::floor_divide(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto floor_divide = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); - TORCHTRT_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n); - - floor_divide->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], floor_divide->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::floor_divide.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - auto floor_divide = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); - TORCHTRT_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n); - - floor_divide->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], floor_divide->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::max.other(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto max = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kMAX, self, other, util::node_info(n)); - TORCHTRT_CHECK(max, "Unable to create max layer from node: " << *n); - - max->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], max->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::min.other(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // TODO: Remove with functionalization - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto min = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kMIN, self, other, util::node_info(n)); - TORCHTRT_CHECK(min, "Unable to create min layer from node: " << *n); - - min->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], min->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::gt.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto gt = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n)); - TORCHTRT_CHECK(gt, "Unable to create greater layer from node: " << *n); - - gt->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], gt->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::gt.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); - if (self->getType() != other->getType()) { - other = castITensor(ctx, other, self->getType()); - } - auto gt = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n)); - TORCHTRT_CHECK(gt, "Unable to create greater layer from node: " << *n); - - gt->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], gt->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::lt.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto lt = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n)); - TORCHTRT_CHECK(lt, "Unable to create less layer from node: " << *n); - - lt->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], lt->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::lt.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); - if (self->getType() != other->getType()) { - other = castITensor(ctx, other, self->getType()); - } - auto lt = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n)); - TORCHTRT_CHECK(lt, "Unable to create less layer from node: " << *n); - - lt->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], lt->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::eq.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - auto eq = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n)); - TORCHTRT_CHECK(eq, "Unable to create equal layer from node: " << *n); - - eq->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], eq->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::eq.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto otherScalar = args[1].unwrapToScalar().to(); - auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); - if (self->getType() == nvinfer1::DataType::kBOOL) { - if (otherScalar == 0 || otherScalar == 1) { - LOG_DEBUG("Since input tensor is type bool, casting input tensor and scalar to int32"); - other = castITensor(ctx, other, nvinfer1::DataType::kINT32); - self = castITensor(ctx, self, nvinfer1::DataType::kINT32); - } else { - LOG_WARNING("Input Tensor has type bool, but scalar is not 0 or 1. Found: " << otherScalar); - } - } - if (self->getType() != other->getType()) { - other = castITensor(ctx, other, self->getType()); - } - auto eq = - add_elementwise(ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n)); - TORCHTRT_CHECK(eq, "Unable to create equal layer from node: " << *n); - - eq->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], eq->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::ge.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - - auto greater = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n) + "_greater"); - TORCHTRT_CHECK(greater, "Unable to create Greater layer from node: " << *n); - - auto equal = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); - TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); - - auto or_op = ctx->net->addElementWise( - *greater->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); - - TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); - or_op->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::ge.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); - if (self->getType() != other->getType()) { - other = castITensor(ctx, other, self->getType()); - } - - auto greater = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n) + "_greater"); - TORCHTRT_CHECK(greater, "Unable to create Greater layer from node: " << *n); - - auto equal = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); - TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); - - auto or_op = ctx->net->addElementWise( - *greater->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); - - TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); - or_op->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::le.Tensor(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - - auto less = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n) + "_less"); - TORCHTRT_CHECK(less, "Unable to create Less layer from node: " << *n); - - auto equal = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); - TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); - - auto or_op = ctx->net->addElementWise( - *less->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); - - TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); - or_op->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}) - .pattern({"aten::le.Scalar(Tensor self, Scalar other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); - if (self->getType() != other->getType()) { - other = castITensor(ctx, other, self->getType()); - } - - auto less = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n) + "_less"); - TORCHTRT_CHECK(less, "Unable to create Less layer from node: " << *n); - - auto equal = add_elementwise( - ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); - TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); - - auto or_op = ctx->net->addElementWise( - *less->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); - - TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); - or_op->setName(util::node_info(n).c_str()); - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - return true; - }}); + .pattern( + {"aten::add.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> " + "Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self + alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto scalar = args[2].unwrapToScalar().to(); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + other, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + other = scaleLayer->getOutput(0); + } + + auto add = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); + TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); + + add->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar " + "alpha=1) -> (Tensor(a!))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self + alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto scalar = args[2].unwrapToScalar().to(); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + other, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + other = scaleLayer->getOutput(0); + } + + auto add = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); + TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); + + add->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::add.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self + alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[2].unwrapToScalar().to() * args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + + auto add = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUM, self, other, util::node_info(n)); + TORCHTRT_CHECK(add, "Unable to create add layer from node: " << *n); + + add->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], add->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Compute min(max(min_threshold, input), max_threshold) + auto self = args[0].ITensorOrFreeze(ctx); + auto clamp_layer_out = self; + + if (args[1].isIValue() && args[1].IValue()->isScalar() && args[2].isIValue() && + args[2].IValue()->isScalar()) { + auto alpha = args[1].unwrapToScalar().to(); + auto beta = args[2].unwrapToScalar().to(); + auto clip_layer = ctx->net->addActivation(*self, nvinfer1::ActivationType::kCLIP); + TORCHTRT_CHECK(clip_layer, "Unable to create clip layer for node: " << *n); + clip_layer->setAlpha(alpha); + clip_layer->setBeta(beta); + clamp_layer_out = clip_layer->getOutput(0); + } else if (args[1].isIValue() && args[1].IValue()->isScalar()) { + auto limit = args[1].unwrapToScalar().to(); + clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMAX, "_max"); + } else if (args[2].isIValue() && args[2].IValue()->isScalar()) { + auto limit = args[2].unwrapToScalar().to(); + clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMIN, "_min"); + } + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); + LOG_DEBUG("Clamp layer output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::clamp_min(Tensor self, Scalar min) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Compute min(max(min_threshold, input), max_threshold) + auto self = args[0].ITensorOrFreeze(ctx); + auto clamp_layer_out = self; + if (args[1].isIValue() && args[1].IValue()->isScalar()) { + auto limit = args[1].unwrapToScalar().to(); + clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMAX, "_max"); + } + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); + LOG_DEBUG("clamp_min layer output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::clamp_max(Tensor self, Scalar max) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Compute min(max(min_threshold, input), max_threshold) + auto self = args[0].ITensorOrFreeze(ctx); + auto clamp_layer_out = self; + if (args[1].isIValue() && args[1].IValue()->isScalar()) { + auto limit = args[1].unwrapToScalar().to(); + clamp_layer_out = clamp_util(ctx, n, self, limit, nvinfer1::ElementWiseOperation::kMIN, "_min"); + } + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], clamp_layer_out); + LOG_DEBUG("clamp_max layer output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::sub.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> " + "Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self - alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto scalar = args[2].unwrapToScalar().to(); + auto other = args[1].ITensorOrFreeze(ctx); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + other, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + other = scaleLayer->getOutput(0); + } + + auto sub = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, self, other, util::node_info(n)); + TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); + + sub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::sub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self - alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].unwrapToScalar().to(); + auto alpha = args[2].unwrapToScalar().to(); + auto scaled_val = other * alpha; + + auto scaled_other_tensor = tensor_to_const(ctx, torch::tensor({scaled_val})); + auto sub = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kSUB, self, scaled_other_tensor, util::node_info(n)); + TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); + sub->setName(util::node_info(n).c_str()); + LOG_DEBUG("Output tensor shape: " << sub->getOutput(0)->getDimensions()); + ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); + + return true; + }}) + .pattern( + {"aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar " + "alpha=1) -> (Tensor(a!))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self - alpha * other + auto self = args[0].ITensorOrFreeze(ctx); + auto scalar = args[2].unwrapToScalar().to(); + auto other = args[1].ITensorOrFreeze(ctx); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + other, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + other = scaleLayer->getOutput(0); + } + + auto sub = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, self, other, util::node_info(n)); + TORCHTRT_CHECK(sub, "Unable to create sub layer from node: " << *n); + + sub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::rsub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement other - alpha * self + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + auto scalar = args[2].unwrapToScalar().to(); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + self, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + self = scaleLayer->getOutput(0); + } + + auto rsub = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, other, self, util::node_info(n)); + TORCHTRT_CHECK(rsub, "Unable to create rsub layer from node: " << *n); + + rsub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], rsub->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::rsub.Tensor(Tensor self, Tensor other, Scalar alpha=1) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement other - alpha * self + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto scalar = args[2].unwrapToScalar().to(); + + if (1 != scalar) { + auto alphaTensor = tensor_to_const(ctx, torch::tensor({scalar})); + auto scaleLayer = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + self, + alphaTensor, + util::node_info(n) + std::string("_AlphaMultiplier")); + TORCHTRT_CHECK(scaleLayer, "Unable to create alpha*input layer from node: " << *n); + self = scaleLayer->getOutput(0); + } + + auto rsub = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kSUB, other, self, util::node_info(n)); + TORCHTRT_CHECK(rsub, "Unable to create rsub layer from node: " << *n); + + rsub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], rsub->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::div.Tensor(Tensor self, Tensor other) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self / other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); + + TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); + + div->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self / other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + std::string rounding_mode = "default"; + if (args[2].isIValue() && args[2].IValue()->isString()) { + rounding_mode = args[2].unwrapToString(); + } + nvinfer1::ILayer* div = nullptr; + if (rounding_mode == "floor") { + div = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); + } else if (rounding_mode == "trunc") { + // trunc = floor(abs(div)) * sign(div) + auto tmp_div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, "tmp_div"); + auto abs = ctx->net->addUnary(*tmp_div->getOutput(0), nvinfer1::UnaryOperation::kABS); + auto floor = ctx->net->addUnary(*abs->getOutput(0), nvinfer1::UnaryOperation::kFLOOR); + auto sign = ctx->net->addUnary(*tmp_div->getOutput(0), nvinfer1::UnaryOperation::kSIGN); + div = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kPROD, + floor->getOutput(0), + sign->getOutput(0), + util::node_info(n)); + } else { + div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); + } + + TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); + + div->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::div.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + auto div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); + TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); + + div->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::div_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); + + TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); + + div->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::div_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + auto div = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kDIV, self, other, util::node_info(n)); + TORCHTRT_CHECK(div, "Unable to create div layer from node: " << *n); + + div->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], div->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::mul.Tensor(Tensor self, Tensor other) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // Should implement self * other + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + + auto mul = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); + TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); + + mul->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::mul.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); + + auto mul = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); + TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); + + mul->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto mul = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPROD, self, other, util::node_info(n)); + TORCHTRT_CHECK(mul, "Unable to create mul layer from node: " << *n); + + mul->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], mul->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::ne.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto equal = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kEQUAL, + self, + other, + util::node_info(n) + std::string("is_equal")); + TORCHTRT_CHECK(equal, "Unable to create elementwise equal layer from node: " << *n); + // XOR with ones negates and produces not_equal result + auto options = torch::TensorOptions().dtype(torch::kFloat32); + auto ones = at::full({1}, 1, {options}); + auto ones_tensor = tensor_to_const(ctx, ones); + nvinfer1::IIdentityLayer* cast_layer = ctx->net->addIdentity(*ones_tensor); + cast_layer->setOutputType(0, nvinfer1::DataType::kBOOL); + + auto sub = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kXOR, + cast_layer->getOutput(0), + equal->getOutput(0), + util::node_info(n)); + TORCHTRT_CHECK(sub, "Unable to create ne (not equal) layer from node: " << *n); + + sub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); + LOG_DEBUG("Not equal layer output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::ne.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto scalar = args[1].unwrapToScalar(); + nvinfer1::ITensor* scalar_tensor; + if (self->getType() == nvinfer1::DataType::kFLOAT || self->getType() == nvinfer1::DataType::kHALF) { + scalar_tensor = tensor_to_const(ctx, torch::tensor({scalar.to()})); + } else { + scalar_tensor = tensor_to_const(ctx, torch::tensor({scalar.to()})); + } + auto equal = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kEQUAL, + self, + scalar_tensor, + util::node_info(n) + std::string("is_equal")); + TORCHTRT_CHECK(equal, "Unable to create elementwise equal layer from node: " << *n); + // XOR with ones negates and produces not_equal result + auto options = torch::TensorOptions().dtype(torch::kFloat32); + auto ones = at::full({1}, 1, {options}); + auto ones_tensor = tensor_to_const(ctx, ones); + nvinfer1::IIdentityLayer* cast_layer = ctx->net->addIdentity(*ones_tensor); + cast_layer->setOutputType(0, nvinfer1::DataType::kBOOL); + + auto sub = add_elementwise( + ctx, + nvinfer1::ElementWiseOperation::kXOR, + cast_layer->getOutput(0), + equal->getOutput(0), + util::node_info(n)); + TORCHTRT_CHECK(sub, "Unable to create ne (not equal) layer from node: " << *n); + + sub->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], sub->getOutput(0)); + LOG_DEBUG("Not equal layer output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto exponent = args[1].ITensorOrFreeze(ctx); + auto pow = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPOW, self, exponent, util::node_info(n)); + TORCHTRT_CHECK(pow, "Unable to create Power layer from node: " << *n); + + pow->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], pow->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto exponentScalar = args[1].unwrapToScalar().to(); + auto exponent = tensor_to_const(ctx, torch::tensor({exponentScalar})); + auto pow = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kPOW, self, exponent, util::node_info(n)); + TORCHTRT_CHECK(pow, "Unable to create Power layer from node: " << *n); + + pow->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], pow->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::floor_divide(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto floor_divide = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); + TORCHTRT_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n); + + floor_divide->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], floor_divide->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::floor_divide.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + auto floor_divide = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kFLOOR_DIV, self, other, util::node_info(n)); + TORCHTRT_CHECK(floor_divide, "Unable to create floor_divide layer from node: " << *n); + + floor_divide->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], floor_divide->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::max.other(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto max = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kMAX, self, other, util::node_info(n)); + TORCHTRT_CHECK(max, "Unable to create max layer from node: " << *n); + + max->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], max->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::min.other(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // TODO: Remove with functionalization + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto min = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kMIN, self, other, util::node_info(n)); + TORCHTRT_CHECK(min, "Unable to create min layer from node: " << *n); + + min->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], min->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::gt.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto gt = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n)); + TORCHTRT_CHECK(gt, "Unable to create greater layer from node: " << *n); + + gt->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], gt->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::gt.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); + if (self->getType() != other->getType()) { + other = castITensor(ctx, other, self->getType()); + } + auto gt = + add_elementwise(ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n)); + TORCHTRT_CHECK(gt, "Unable to create greater layer from node: " << *n); + + gt->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], gt->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::lt.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto lt = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n)); + TORCHTRT_CHECK(lt, "Unable to create less layer from node: " << *n); + + lt->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], lt->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::lt.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); + if (self->getType() != other->getType()) { + other = castITensor(ctx, other, self->getType()); + } + auto lt = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n)); + TORCHTRT_CHECK(lt, "Unable to create less layer from node: " << *n); + + lt->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], lt->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::eq.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + auto eq = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n)); + TORCHTRT_CHECK(eq, "Unable to create equal layer from node: " << *n); + + eq->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], eq->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::eq.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto otherScalar = args[1].unwrapToScalar().to(); + auto other = tensor_to_const(ctx, torch::tensor({otherScalar})); + if (self->getType() == nvinfer1::DataType::kBOOL) { + if (otherScalar == 0 || otherScalar == 1) { + LOG_DEBUG("Since input tensor is type bool, casting input tensor and scalar to int32"); + other = castITensor(ctx, other, nvinfer1::DataType::kINT32); + self = castITensor(ctx, self, nvinfer1::DataType::kINT32); + } else { + LOG_WARNING("Input Tensor has type bool, but scalar is not 0 or 1. Found: " << otherScalar); + } + } + if (self->getType() != other->getType()) { + other = castITensor(ctx, other, self->getType()); + } + auto eq = add_elementwise(ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n)); + TORCHTRT_CHECK(eq, "Unable to create equal layer from node: " << *n); + + eq->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], eq->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::ge.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + + auto greater = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n) + "_greater"); + TORCHTRT_CHECK(greater, "Unable to create Greater layer from node: " << *n); + + auto equal = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); + TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); + + auto or_op = ctx->net->addElementWise( + *greater->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); + + TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); + or_op->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::ge.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); + if (self->getType() != other->getType()) { + other = castITensor(ctx, other, self->getType()); + } + + auto greater = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kGREATER, self, other, util::node_info(n) + "_greater"); + TORCHTRT_CHECK(greater, "Unable to create Greater layer from node: " << *n); + + auto equal = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); + TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); + + auto or_op = ctx->net->addElementWise( + *greater->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); + + TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); + or_op->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::le.Tensor(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + + auto less = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n) + "_less"); + TORCHTRT_CHECK(less, "Unable to create Less layer from node: " << *n); + + auto equal = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); + TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); + + auto or_op = ctx->net->addElementWise( + *less->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); + + TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); + or_op->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}) + .pattern( + {"aten::le.Scalar(Tensor self, Scalar other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = scalar_to_tensor(ctx, args[1].unwrapToScalar()); + if (self->getType() != other->getType()) { + other = castITensor(ctx, other, self->getType()); + } + + auto less = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kLESS, self, other, util::node_info(n) + "_less"); + TORCHTRT_CHECK(less, "Unable to create Less layer from node: " << *n); + + auto equal = add_elementwise( + ctx, nvinfer1::ElementWiseOperation::kEQUAL, self, other, util::node_info(n) + "_equal"); + TORCHTRT_CHECK(equal, "Unable to create Equal layer from node: " << *n); + + auto or_op = ctx->net->addElementWise( + *less->getOutput(0), *equal->getOutput(0), nvinfer1::ElementWiseOperation::kOR); + + TORCHTRT_CHECK(or_op, "Unable to create Or layer from node: " << *n); + or_op->setName(util::node_info(n).c_str()); + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], or_op->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + return true; + }}); } // namespace } // namespace impl diff --git a/core/conversion/converters/impl/expand.cpp b/core/conversion/converters/impl/expand.cpp index 6c86605a2f..e090261a2a 100644 --- a/core/conversion/converters/impl/expand.cpp +++ b/core/conversion/converters/impl/expand.cpp @@ -1,290 +1,293 @@ -#include "NvInfer.h" -#include "core/conversion/converters/converters.h" -#include "core/conversion/tensorcontainer/TensorContainer.h" -#include "core/util/prelude.h" -#include "core/util/trt_util.h" -#include "torch/torch.h" - -#include -#include - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -nvinfer1::ITensor* concat(int max_rank, int old_rank, ConversionCtx* ctx, nvinfer1::ITensor* tensor) { - if (max_rank - old_rank > 0) { - torch::Tensor thOne = torch::tensor(std::vector(max_rank - old_rank, 1), torch::kInt32); - auto one_tensor = tensor_to_const(ctx, thOne); - auto in_shape_tensor = ctx->net->addShape(*tensor)->getOutput(0); - nvinfer1::ITensor* const args[2] = {one_tensor, in_shape_tensor}; - return ctx->net->addConcatenation(args, 2)->getOutput(0); - } else { // max_rank - old_rank == 0 - return ctx->net->addShape(*tensor)->getOutput(0); - } -} - -bool add_expand(ConversionCtx* ctx, const torch::jit::Node* n, nvinfer1::ITensor* in, nvinfer1::Dims expandedDims) { - auto input_dims = in->getDimensions(); - TORCHTRT_CHECK( - input_dims.nbDims <= expandedDims.nbDims, - "Number of dimensions of the desired expansion must be greater than or equal to the number of input dimensions"); - - // Validate the expansion. Eg: an input of [3, 1] can be expanded to [1, 3, 4] but not [3, 4, 1] - for (int64_t i = expandedDims.nbDims - 1; i >= 0; --i) { - int64_t offset = expandedDims.nbDims - 1 - i; - int64_t dim = input_dims.nbDims - 1 - offset; - int64_t size = (dim >= 0) ? input_dims.d[dim] : 1; - int64_t targetSize = expandedDims.d[i]; - // In expand layer passing -1 as the size for a dimension means not changing the size of that dimension. - if (targetSize != -1) { - if (size != targetSize) { - if (size != 1) { - TORCHTRT_THROW_ERROR( - "The expanded size of tensor (" << targetSize << ")" - << " must match the existing size (" << size << ")" - << " at dimension " << i); - } - } - } else { - // For the new dimensions, the size cannot be set to -1. Eg: an input of [3, 1] can be expanded to [3, -1, 4] but - // not [-1, 3, 4]. - if (dim < 0) { - TORCHTRT_THROW_ERROR( - "The expanded size of the tensor (" << targetSize << ") isn't allowed in a leading, non-existing dimension " - << i); - } else { - // in(3, 1), expand(3, -1, 4) -> expand(3, 3, 4) - expandedDims.d[i] = input_dims.d[dim]; - } - } - } - - auto num_expand_dims = expandedDims.nbDims - input_dims.nbDims; - if (num_expand_dims > 0) { - nvinfer1::Dims reshape_dims; - reshape_dims.nbDims = expandedDims.nbDims; - for (int64_t i = 0; i < num_expand_dims; i++) { - reshape_dims.d[i] = 1; - } - for (int64_t i = 0; i < input_dims.nbDims; i++) { - reshape_dims.d[num_expand_dims + i] = input_dims.d[i]; - } - // Add a reshape layer to expand dims - auto reshape_layer = ctx->net->addShuffle(*in); - reshape_layer->setReshapeDimensions(reshape_dims); - in = reshape_layer->getOutput(0); - LOG_DEBUG("Input reshaped to : " << in->getDimensions() << " from " << input_dims); - } - - // Start the slicing from beginning of tensor since this is an expand layer - std::vector start_vec(expandedDims.nbDims, 0); - auto start_offset = util::toDims(c10::IntArrayRef(start_vec)); - - // Set the stride of non singleton dimension to 1 - std::vector strides_vec(expandedDims.nbDims, 0); - for (int64_t i = 0; i < expandedDims.nbDims; i++) { - strides_vec[i] = (in->getDimensions().d[i] != 1); - } - - auto strides = util::toDims(c10::IntArrayRef(strides_vec)); - // Slice layer does the expansion in TRT. Desired output size is specified by expandedDims - auto slice_layer = ctx->net->addSlice(*in, start_offset, expandedDims, strides); - slice_layer->setName(util::node_info(n).c_str()); - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], slice_layer->getOutput(0)); - - LOG_DEBUG("Expand layer output tensor shape: " << out->getDimensions()); - - return true; -} - -bool add_expand_dynamic( - ConversionCtx* ctx, - const torch::jit::Node* n, - nvinfer1::ITensor* in, - nvinfer1::ITensor* expandedDimsTensor, - nvinfer1::Dims expandedDims, - bool is_expand_layer) { - auto input_dims = in->getDimensions(); - auto input_rank = in->getDimensions().nbDims; - auto output_rank = expandedDims.nbDims; - TORCHTRT_CHECK( - input_rank <= output_rank, - "Number of dimensions of the desired expansion must be greater than or equal to the number of input dimensions"); - - /* TODO: When the inputs are dynamic, some dimensions of the inputs are indeterminate before setBindingDimensions. For - these indeterminate dimensions, we don't validate the expansion. Eg: For an input of [3, -1], we omit the - validation of the second dimension. Need to explore a better way to validate the expansion. - */ - // Validate the expansion. Eg: an input of [3, 1] can be expanded to [1, 3, 4] but not [3, 4, 1] - for (int64_t i = expandedDims.nbDims - 1; i >= 0; --i) { - int64_t offset = expandedDims.nbDims - 1 - i; - int64_t dim = input_dims.nbDims - 1 - offset; - int64_t size = (dim >= 0) ? input_dims.d[dim] : 1; - int64_t targetSize = expandedDims.d[i]; - // Passing -1 as the size for a dimension means not changing the size of that dimension in expand layer. - if (targetSize != -1) { - if (size != targetSize) { - // if size == -1, we can't validate the expansion before setBindingDimensions. - if (!(size == -1 || size == 1)) { - TORCHTRT_THROW_ERROR( - "The expanded size of tensor (" << targetSize << ")" - << " must match the existing size (" << size << ")" - << " at dimension " << i); - } - } - } else { - // In dynamic expand layer, for the new dimensions, the size cannot be set to -1. Eg: an input of [3, 1] can be - // expanded to [3, -1, 4] but not [-1, 3, 4]. - if (is_expand_layer && dim < 0) { - TORCHTRT_THROW_ERROR( - "The expanded size of the tensor (" << targetSize << ") isn't allowed in a leading, non-existing dimension " - << i); - } - } - } - - size_t max_rank = std::max(input_rank, output_rank); - - // Dimensions are right alignment. Eg: an input of [3, 1] and max_rank = 4, the result of concat is [1, 1, 3, 1] - auto new_input_shape_tensor = concat(max_rank, input_rank, ctx, in); - auto new_output_shape_tensor = expandedDimsTensor; - - // Add a reshape layer to expand dims - auto shuffle = ctx->net->addShuffle(*in); - shuffle->setInput(1, *new_input_shape_tensor); - - // Start the slicing from beginning of tensor since this is an expand layer - std::vector start_vec(max_rank, 0); - nvinfer1::Dims starts_dim = util::toDims(c10::IntArrayRef(start_vec)); - at::Tensor thStart = torch::tensor(util::toVec(starts_dim), torch::kInt32); - auto starts = tensor_to_const(ctx, thStart); - - // compute sizes = max(x,y). - auto sizes = - ctx->net->addElementWise(*new_input_shape_tensor, *new_output_shape_tensor, nvinfer1::ElementWiseOperation::kMAX) - ->getOutput(0); - nvinfer1::Dims sizes_dim{-1, {}}; - sizes_dim.nbDims = max_rank; - - // Compute (x > 1 ? 1 : 0) for x in newDims, assuming positive x, using only TensorRT operations. - // min(1, sub(input_shape, 1)) - torch::Tensor thOne = torch::tensor({1}, torch::kInt32); - auto one_tensor = tensor_to_const(ctx, thOne); - auto x_sub_one = ctx->net->addElementWise(*new_input_shape_tensor, *one_tensor, nvinfer1::ElementWiseOperation::kSUB) - ->getOutput(0); - auto strides = ctx->net->addElementWise(*one_tensor, *x_sub_one, nvinfer1::ElementWiseOperation::kMIN)->getOutput(0); - nvinfer1::Dims strides_dim{-1, {}}; - strides_dim.nbDims = max_rank; - - // Slice layer does the expansion in TRT. Desired output size is specified by sizes input at index 2. - auto slice = ctx->net->addSlice(*shuffle->getOutput(0), starts_dim, sizes_dim, strides_dim); - slice->setInput(1, *starts); - slice->setInput(2, *sizes); - slice->setInput(3, *strides); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], slice->getOutput(0)); - - LOG_DEBUG("Expand layer output tensor shape: " << out_tensor->getDimensions()); - - return true; -} - -auto expand_registrations TORCHTRT_UNUSED = - RegisterNodeConversionPatterns() - .pattern({"aten::expand(Tensor(a) self, int[] size, *, bool implicit=False) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto input_dims = in->getDimensions(); - auto expanded_size = args[1].unwrapToIntList(); - auto expandedDims = util::toDims(expanded_size); - LOG_DEBUG("(expand layer) Expand input from " << input_dims << " to " << expandedDims); - if (ctx->input_is_dynamic) { - at::Tensor thExpanded_size = torch::tensor(expanded_size.vec(), torch::kInt32); - auto expandedDimsTensor = tensor_to_const(ctx, thExpanded_size); - return add_expand_dynamic(ctx, n, in, expandedDimsTensor, expandedDims, true); - } else { - return add_expand(ctx, n, in, expandedDims); - } - }}) - .pattern({"aten::expand_as(Tensor(a) self, Tensor other) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto input_dims = in->getDimensions(); - auto targetTensor = args[1].ITensorOrFreeze(ctx); - auto targetDims = targetTensor->getDimensions(); - LOG_DEBUG("(expand_as layer) Expand input from " << input_dims << " to " << targetDims); - if (ctx->input_is_dynamic) { - return add_expand_dynamic( - ctx, n, in, ctx->net->addShape(*targetTensor)->getOutput(0), targetDims, false); - } else { - return add_expand(ctx, n, in, targetDims); - } - }}) - .pattern({"aten::repeat(Tensor self, int[] repeats) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto input_dims = in->getDimensions(); - auto repeats = args[1].unwrapToIntList().vec(); - int repeats_rank = repeats.size(); - TORCHTRT_CHECK( - repeats_rank >= input_dims.nbDims, - "Number of repeat dimensions cannot be smaller than number of input dimensions"); - auto num_expand_dims = repeats_rank - input_dims.nbDims; - - if (ctx->input_is_dynamic) { - int input_rank = input_dims.nbDims; - int output_rank = repeats_rank; - auto new_input_shape_tensor = concat(output_rank, input_rank, ctx, in); - - // Add a reshape layer to expand dims - auto shuffle = ctx->net->addShuffle(*in); - shuffle->setInput(1, *new_input_shape_tensor); - in = shuffle->getOutput(0); - } else { - if (num_expand_dims > 0) { - nvinfer1::Dims reshape_dims; - reshape_dims.nbDims = repeats.size(); - for (int i = 0; i < num_expand_dims; i++) { - reshape_dims.d[i] = 1; - } - for (int i = 0; i < input_dims.nbDims; i++) { - reshape_dims.d[num_expand_dims + i] = input_dims.d[i]; - } - // Add a reshape layer to expand dims - auto reshape_layer = ctx->net->addShuffle(*in); - reshape_layer->setReshapeDimensions(reshape_dims); - in = reshape_layer->getOutput(0); - LOG_DEBUG("Input reshaped to : " << in->getDimensions() << " from " << input_dims); - } - LOG_DEBUG("Repeats: " << repeats); - } - - // Concat across all repeat axes. - // TODO: Implementation might not be performant. Explore other strategies to improve performance. - for (int i = repeats.size() - 1; i >= 0; --i) { - std::vector tensors_vec; - for (int j = 0; j < repeats[i]; j++) { - tensors_vec.push_back(in); - } - auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); - concat_layer->setAxis(i); - in = concat_layer->getOutput(0); - } - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); - - LOG_DEBUG("Repeat layer output tensor shape: " << out->getDimensions()); - return true; - }}); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "NvInfer.h" +#include "core/conversion/converters/converters.h" +#include "core/conversion/tensorcontainer/TensorContainer.h" +#include "core/util/prelude.h" +#include "core/util/trt_util.h" +#include "torch/torch.h" + +#include +#include + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +nvinfer1::ITensor* concat(int max_rank, int old_rank, ConversionCtx* ctx, nvinfer1::ITensor* tensor) { + if (max_rank - old_rank > 0) { + torch::Tensor thOne = torch::tensor(std::vector(max_rank - old_rank, 1), torch::kInt32); + auto one_tensor = tensor_to_const(ctx, thOne); + auto in_shape_tensor = ctx->net->addShape(*tensor)->getOutput(0); + nvinfer1::ITensor* const args[2] = {one_tensor, in_shape_tensor}; + return ctx->net->addConcatenation(args, 2)->getOutput(0); + } else { // max_rank - old_rank == 0 + return ctx->net->addShape(*tensor)->getOutput(0); + } +} + +bool add_expand(ConversionCtx* ctx, const torch::jit::Node* n, nvinfer1::ITensor* in, nvinfer1::Dims expandedDims) { + auto input_dims = in->getDimensions(); + TORCHTRT_CHECK( + input_dims.nbDims <= expandedDims.nbDims, + "Number of dimensions of the desired expansion must be greater than or equal to the number of input dimensions"); + + // Validate the expansion. Eg: an input of [3, 1] can be expanded to [1, 3, 4] but not [3, 4, 1] + for (int64_t i = expandedDims.nbDims - 1; i >= 0; --i) { + int64_t offset = expandedDims.nbDims - 1 - i; + int64_t dim = input_dims.nbDims - 1 - offset; + int64_t size = (dim >= 0) ? input_dims.d[dim] : 1; + int64_t targetSize = expandedDims.d[i]; + // In expand layer passing -1 as the size for a dimension means not changing the size of that dimension. + if (targetSize != -1) { + if (size != targetSize) { + if (size != 1) { + TORCHTRT_THROW_ERROR( + "The expanded size of tensor (" << targetSize << ")" + << " must match the existing size (" << size << ")" + << " at dimension " << i); + } + } + } else { + // For the new dimensions, the size cannot be set to -1. Eg: an input of [3, 1] can be expanded to [3, -1, 4] but + // not [-1, 3, 4]. + if (dim < 0) { + TORCHTRT_THROW_ERROR( + "The expanded size of the tensor (" << targetSize << ") isn't allowed in a leading, non-existing dimension " + << i); + } else { + // in(3, 1), expand(3, -1, 4) -> expand(3, 3, 4) + expandedDims.d[i] = input_dims.d[dim]; + } + } + } + + auto num_expand_dims = expandedDims.nbDims - input_dims.nbDims; + if (num_expand_dims > 0) { + nvinfer1::Dims reshape_dims; + reshape_dims.nbDims = expandedDims.nbDims; + for (int64_t i = 0; i < num_expand_dims; i++) { + reshape_dims.d[i] = 1; + } + for (int64_t i = 0; i < input_dims.nbDims; i++) { + reshape_dims.d[num_expand_dims + i] = input_dims.d[i]; + } + // Add a reshape layer to expand dims + auto reshape_layer = ctx->net->addShuffle(*in); + reshape_layer->setReshapeDimensions(reshape_dims); + in = reshape_layer->getOutput(0); + LOG_DEBUG("Input reshaped to : " << in->getDimensions() << " from " << input_dims); + } + + // Start the slicing from beginning of tensor since this is an expand layer + std::vector start_vec(expandedDims.nbDims, 0); + auto start_offset = util::toDims(c10::IntArrayRef(start_vec)); + + // Set the stride of non singleton dimension to 1 + std::vector strides_vec(expandedDims.nbDims, 0); + for (int64_t i = 0; i < expandedDims.nbDims; i++) { + strides_vec[i] = (in->getDimensions().d[i] != 1); + } + + auto strides = util::toDims(c10::IntArrayRef(strides_vec)); + // Slice layer does the expansion in TRT. Desired output size is specified by expandedDims + auto slice_layer = ctx->net->addSlice(*in, start_offset, expandedDims, strides); + slice_layer->setName(util::node_info(n).c_str()); + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], slice_layer->getOutput(0)); + + LOG_DEBUG("Expand layer output tensor shape: " << out->getDimensions()); + + return true; +} + +bool add_expand_dynamic( + ConversionCtx* ctx, + const torch::jit::Node* n, + nvinfer1::ITensor* in, + nvinfer1::ITensor* expandedDimsTensor, + nvinfer1::Dims expandedDims, + bool is_expand_layer) { + auto input_dims = in->getDimensions(); + auto input_rank = in->getDimensions().nbDims; + auto output_rank = expandedDims.nbDims; + TORCHTRT_CHECK( + input_rank <= output_rank, + "Number of dimensions of the desired expansion must be greater than or equal to the number of input dimensions"); + + /* TODO: When the inputs are dynamic, some dimensions of the inputs are indeterminate before setBindingDimensions. For + these indeterminate dimensions, we don't validate the expansion. Eg: For an input of [3, -1], we omit the + validation of the second dimension. Need to explore a better way to validate the expansion. + */ + // Validate the expansion. Eg: an input of [3, 1] can be expanded to [1, 3, 4] but not [3, 4, 1] + for (int64_t i = expandedDims.nbDims - 1; i >= 0; --i) { + int64_t offset = expandedDims.nbDims - 1 - i; + int64_t dim = input_dims.nbDims - 1 - offset; + int64_t size = (dim >= 0) ? input_dims.d[dim] : 1; + int64_t targetSize = expandedDims.d[i]; + // Passing -1 as the size for a dimension means not changing the size of that dimension in expand layer. + if (targetSize != -1) { + if (size != targetSize) { + // if size == -1, we can't validate the expansion before setBindingDimensions. + if (!(size == -1 || size == 1)) { + TORCHTRT_THROW_ERROR( + "The expanded size of tensor (" << targetSize << ")" + << " must match the existing size (" << size << ")" + << " at dimension " << i); + } + } + } else { + // In dynamic expand layer, for the new dimensions, the size cannot be set to -1. Eg: an input of [3, 1] can be + // expanded to [3, -1, 4] but not [-1, 3, 4]. + if (is_expand_layer && dim < 0) { + TORCHTRT_THROW_ERROR( + "The expanded size of the tensor (" << targetSize << ") isn't allowed in a leading, non-existing dimension " + << i); + } + } + } + + size_t max_rank = std::max(input_rank, output_rank); + + // Dimensions are right alignment. Eg: an input of [3, 1] and max_rank = 4, the result of concat is [1, 1, 3, 1] + auto new_input_shape_tensor = concat(max_rank, input_rank, ctx, in); + auto new_output_shape_tensor = expandedDimsTensor; + + // Add a reshape layer to expand dims + auto shuffle = ctx->net->addShuffle(*in); + shuffle->setInput(1, *new_input_shape_tensor); + + // Start the slicing from beginning of tensor since this is an expand layer + std::vector start_vec(max_rank, 0); + nvinfer1::Dims starts_dim = util::toDims(c10::IntArrayRef(start_vec)); + at::Tensor thStart = torch::tensor(util::toVec(starts_dim), torch::kInt32); + auto starts = tensor_to_const(ctx, thStart); + + // compute sizes = max(x,y). + auto sizes = + ctx->net->addElementWise(*new_input_shape_tensor, *new_output_shape_tensor, nvinfer1::ElementWiseOperation::kMAX) + ->getOutput(0); + nvinfer1::Dims sizes_dim{-1, {}}; + sizes_dim.nbDims = max_rank; + + // Compute (x > 1 ? 1 : 0) for x in newDims, assuming positive x, using only TensorRT operations. + // min(1, sub(input_shape, 1)) + torch::Tensor thOne = torch::tensor({1}, torch::kInt32); + auto one_tensor = tensor_to_const(ctx, thOne); + auto x_sub_one = ctx->net->addElementWise(*new_input_shape_tensor, *one_tensor, nvinfer1::ElementWiseOperation::kSUB) + ->getOutput(0); + auto strides = ctx->net->addElementWise(*one_tensor, *x_sub_one, nvinfer1::ElementWiseOperation::kMIN)->getOutput(0); + nvinfer1::Dims strides_dim{-1, {}}; + strides_dim.nbDims = max_rank; + + // Slice layer does the expansion in TRT. Desired output size is specified by sizes input at index 2. + auto slice = ctx->net->addSlice(*shuffle->getOutput(0), starts_dim, sizes_dim, strides_dim); + slice->setInput(1, *starts); + slice->setInput(2, *sizes); + slice->setInput(3, *strides); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], slice->getOutput(0)); + + LOG_DEBUG("Expand layer output tensor shape: " << out_tensor->getDimensions()); + + return true; +} + +auto expand_registrations TORCHTRT_UNUSED = + RegisterNodeConversionPatterns() + .pattern( + {"aten::expand(Tensor(a) self, int[] size, *, bool implicit=False) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto input_dims = in->getDimensions(); + auto expanded_size = args[1].unwrapToIntList(); + auto expandedDims = util::toDims(expanded_size); + LOG_DEBUG("(expand layer) Expand input from " << input_dims << " to " << expandedDims); + if (ctx->input_is_dynamic) { + at::Tensor thExpanded_size = torch::tensor(expanded_size.vec(), torch::kInt32); + auto expandedDimsTensor = tensor_to_const(ctx, thExpanded_size); + return add_expand_dynamic(ctx, n, in, expandedDimsTensor, expandedDims, true); + } else { + return add_expand(ctx, n, in, expandedDims); + } + }}) + .pattern( + {"aten::expand_as(Tensor(a) self, Tensor other) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto input_dims = in->getDimensions(); + auto targetTensor = args[1].ITensorOrFreeze(ctx); + auto targetDims = targetTensor->getDimensions(); + LOG_DEBUG("(expand_as layer) Expand input from " << input_dims << " to " << targetDims); + if (ctx->input_is_dynamic) { + return add_expand_dynamic( + ctx, n, in, ctx->net->addShape(*targetTensor)->getOutput(0), targetDims, false); + } else { + return add_expand(ctx, n, in, targetDims); + } + }}) + .pattern( + {"aten::repeat(Tensor self, int[] repeats) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto input_dims = in->getDimensions(); + auto repeats = args[1].unwrapToIntList().vec(); + int repeats_rank = repeats.size(); + TORCHTRT_CHECK( + repeats_rank >= input_dims.nbDims, + "Number of repeat dimensions cannot be smaller than number of input dimensions"); + auto num_expand_dims = repeats_rank - input_dims.nbDims; + + if (ctx->input_is_dynamic) { + int input_rank = input_dims.nbDims; + int output_rank = repeats_rank; + auto new_input_shape_tensor = concat(output_rank, input_rank, ctx, in); + + // Add a reshape layer to expand dims + auto shuffle = ctx->net->addShuffle(*in); + shuffle->setInput(1, *new_input_shape_tensor); + in = shuffle->getOutput(0); + } else { + if (num_expand_dims > 0) { + nvinfer1::Dims reshape_dims; + reshape_dims.nbDims = repeats.size(); + for (int i = 0; i < num_expand_dims; i++) { + reshape_dims.d[i] = 1; + } + for (int i = 0; i < input_dims.nbDims; i++) { + reshape_dims.d[num_expand_dims + i] = input_dims.d[i]; + } + // Add a reshape layer to expand dims + auto reshape_layer = ctx->net->addShuffle(*in); + reshape_layer->setReshapeDimensions(reshape_dims); + in = reshape_layer->getOutput(0); + LOG_DEBUG("Input reshaped to : " << in->getDimensions() << " from " << input_dims); + } + LOG_DEBUG("Repeats: " << repeats); + } + + // Concat across all repeat axes. + // TODO: Implementation might not be performant. Explore other strategies to improve performance. + for (int i = repeats.size() - 1; i >= 0; --i) { + std::vector tensors_vec; + for (int j = 0; j < repeats[i]; j++) { + tensors_vec.push_back(in); + } + auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); + concat_layer->setAxis(i); + in = concat_layer->getOutput(0); + } + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); + + LOG_DEBUG("Repeat layer output tensor shape: " << out->getDimensions()); + return true; + }}); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/lstm_cell.cpp b/core/conversion/converters/impl/lstm_cell.cpp index 41c26088e0..7ccc430159 100644 --- a/core/conversion/converters/impl/lstm_cell.cpp +++ b/core/conversion/converters/impl/lstm_cell.cpp @@ -283,4 +283,4 @@ auto lstm_cell_registrations TORCHTRT_UNUSED = } // namespace converters } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/matrix_multiply.cpp b/core/conversion/converters/impl/matrix_multiply.cpp index 29317c5f56..ec5703cd37 100644 --- a/core/conversion/converters/impl/matrix_multiply.cpp +++ b/core/conversion/converters/impl/matrix_multiply.cpp @@ -11,28 +11,29 @@ namespace { auto mm_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::matmul(Tensor self, Tensor other) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto other = args[1].ITensorOrFreeze(ctx); - // Ensure self and other tensors have same nbDims by expanding the dimensions (from 0 axis) if - // necessary. - if (self->getDimensions().nbDims < other->getDimensions().nbDims) { - self = addPadding(ctx, n, self, other->getDimensions().nbDims, false, false); - } else { - other = addPadding(ctx, n, other, self->getDimensions().nbDims, false, false); - } + .pattern( + {"aten::matmul(Tensor self, Tensor other) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto other = args[1].ITensorOrFreeze(ctx); + // Ensure self and other tensors have same nbDims by expanding the dimensions (from 0 axis) if + // necessary. + if (self->getDimensions().nbDims < other->getDimensions().nbDims) { + self = addPadding(ctx, n, self, other->getDimensions().nbDims, false, false); + } else { + other = addPadding(ctx, n, other, self->getDimensions().nbDims, false, false); + } - auto mm_layer = ctx->net->addMatrixMultiply( - *self, nvinfer1::MatrixOperation::kNONE, *other, nvinfer1::MatrixOperation::kNONE); + auto mm_layer = ctx->net->addMatrixMultiply( + *self, nvinfer1::MatrixOperation::kNONE, *other, nvinfer1::MatrixOperation::kNONE); - TORCHTRT_CHECK(mm_layer, "Unable to create matrix multiplication node: " << *n); - mm_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], mm_layer->getOutput(0)); + TORCHTRT_CHECK(mm_layer, "Unable to create matrix multiplication node: " << *n); + mm_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], mm_layer->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - return true; - }}) + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + return true; + }}) .pattern( {"aten::bmm(Tensor self, Tensor mat2) -> (Tensor)", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { diff --git a/core/conversion/converters/impl/normalize.cpp b/core/conversion/converters/impl/normalize.cpp index 54a98baf2f..e96c6361a5 100644 --- a/core/conversion/converters/impl/normalize.cpp +++ b/core/conversion/converters/impl/normalize.cpp @@ -1,79 +1,79 @@ -#include "NvInfer.h" -#include "NvInferRuntimeCommon.h" -#include "core/conversion/converters/converters.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -/* - * Helper functions - */ -void create_plugin( - ConversionCtx* ctx, - const torch::jit::Node* n, - nvinfer1::ITensor* in, - int64_t order, - std::vector axes, - bool keep_dims, - const char* name) { - LOG_WARNING("Normalize layer will be run through ATen, not TensorRT. Performance may be lower than expected"); - nvinfer1::PluginFieldCollection fc; - std::vector f; - f.emplace_back(nvinfer1::PluginField("order", &order, nvinfer1::PluginFieldType::kINT32, 1)); - f.emplace_back(nvinfer1::PluginField("axes", axes.data(), nvinfer1::PluginFieldType::kINT32, axes.size())); - f.emplace_back(nvinfer1::PluginField("keep_dims", &keep_dims, nvinfer1::PluginFieldType::kINT32, 1)); - fc.nbFields = f.size(); - fc.fields = f.data(); - - auto inputnbDims = in->getDimensions().nbDims; - for (int64_t i = 0; i < (int64_t)axes.size(); i++) { - if (axes[i] < 0) { - axes[i] += inputnbDims; - } - if (axes[i] > inputnbDims - 1) { - TORCHTRT_THROW_ERROR("Axis of normalization layer cannot exceed input rank"); - } - } - - auto creator = getPluginRegistry()->getPluginCreator("NormalizePlugin", "1", "torch_tensorrt"); - auto plugin = creator->createPlugin(name, &fc); - auto normalize_layer = ctx->net->addPluginV2(reinterpret_cast(&in), 1, *plugin); - TORCHTRT_CHECK(normalize_layer, "Unable to create normalization plugin from node" << *n); - - normalize_layer->setName(util::node_info(n).c_str()); - - auto layer_output = ctx->AssociateValueAndTensor(n->outputs()[0], normalize_layer->getOutput(0)); - - LOG_DEBUG("Normalize layer output tensor shape: " << layer_output->getDimensions()); -} - -auto normalize_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( - {"aten::norm.ScalarOpt_dim(Tensor self, Scalar? p, int[1] dim, bool keepdim=False) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto in_shape = util::toVec(in->getDimensions()); - auto order = args[1].unwrapToScalar().to(); - auto axes_values = args[2].unwrapToIntList().vec(); - std::vector axes(axes_values.begin(), axes_values.end()); - auto keep_dims = (int32_t)args[3].unwrapToBool(); - LOG_DEBUG("Order of normalize_plugin: " << order); - LOG_DEBUG("Axis: " << axes); - LOG_DEBUG("keep_dims: " << keep_dims); - create_plugin(ctx, n, in, order, axes, keep_dims, "NormalizePluginTorchTRT"); - return true; - } - - }); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt +#include "NvInfer.h" +#include "NvInferRuntimeCommon.h" +#include "core/conversion/converters/converters.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +/* + * Helper functions + */ +void create_plugin( + ConversionCtx* ctx, + const torch::jit::Node* n, + nvinfer1::ITensor* in, + int64_t order, + std::vector axes, + bool keep_dims, + const char* name) { + LOG_WARNING("Normalize layer will be run through ATen, not TensorRT. Performance may be lower than expected"); + nvinfer1::PluginFieldCollection fc; + std::vector f; + f.emplace_back(nvinfer1::PluginField("order", &order, nvinfer1::PluginFieldType::kINT32, 1)); + f.emplace_back(nvinfer1::PluginField("axes", axes.data(), nvinfer1::PluginFieldType::kINT32, axes.size())); + f.emplace_back(nvinfer1::PluginField("keep_dims", &keep_dims, nvinfer1::PluginFieldType::kINT32, 1)); + fc.nbFields = f.size(); + fc.fields = f.data(); + + auto inputnbDims = in->getDimensions().nbDims; + for (int64_t i = 0; i < (int64_t)axes.size(); i++) { + if (axes[i] < 0) { + axes[i] += inputnbDims; + } + if (axes[i] > inputnbDims - 1) { + TORCHTRT_THROW_ERROR("Axis of normalization layer cannot exceed input rank"); + } + } + + auto creator = getPluginRegistry()->getPluginCreator("NormalizePlugin", "1", "torch_tensorrt"); + auto plugin = creator->createPlugin(name, &fc); + auto normalize_layer = ctx->net->addPluginV2(reinterpret_cast(&in), 1, *plugin); + TORCHTRT_CHECK(normalize_layer, "Unable to create normalization plugin from node" << *n); + + normalize_layer->setName(util::node_info(n).c_str()); + + auto layer_output = ctx->AssociateValueAndTensor(n->outputs()[0], normalize_layer->getOutput(0)); + + LOG_DEBUG("Normalize layer output tensor shape: " << layer_output->getDimensions()); +} + +auto normalize_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( + {"aten::norm.ScalarOpt_dim(Tensor self, Scalar? p, int[1] dim, bool keepdim=False) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto in_shape = util::toVec(in->getDimensions()); + auto order = args[1].unwrapToScalar().to(); + auto axes_values = args[2].unwrapToIntList().vec(); + std::vector axes(axes_values.begin(), axes_values.end()); + auto keep_dims = (int32_t)args[3].unwrapToBool(); + LOG_DEBUG("Order of normalize_plugin: " << order); + LOG_DEBUG("Axis: " << axes); + LOG_DEBUG("keep_dims: " << keep_dims); + create_plugin(ctx, n, in, order, axes, keep_dims, "NormalizePluginTorchTRT"); + return true; + } + + }); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/pooling.cpp b/core/conversion/converters/impl/pooling.cpp index 0c950a5d3a..9016fc3ad7 100644 --- a/core/conversion/converters/impl/pooling.cpp +++ b/core/conversion/converters/impl/pooling.cpp @@ -229,33 +229,36 @@ auto pooling_registrations TORCHTRT_UNUSED = [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { return PoolingConverter(ctx, n, args, nvinfer1::PoolingType::kAVERAGE); }}) - .pattern({"aten::adaptive_avg_pool1d(Tensor self, int[1] output_size) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter( - ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool1d"); - }}) - .pattern({"aten::adaptive_max_pool1d(Tensor self, int[2] output_size) -> (Tensor, Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool1d"); - }}) - .pattern({"aten::adaptive_avg_pool2d(Tensor self, int[2] output_size) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter( - ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool2d"); - }}) - .pattern({"aten::adaptive_max_pool2d(Tensor self, int[2] output_size) -> (Tensor, Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool2d"); - }}) - .pattern({"aten::adaptive_avg_pool3d(Tensor self, int[3] output_size) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter( - ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool3d"); - }}) - .pattern({"aten::adaptive_max_pool3d(Tensor self, int[3] output_size) -> (Tensor, Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool3d"); - }}); + .pattern( + {"aten::adaptive_avg_pool1d(Tensor self, int[1] output_size) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool1d"); + }}) + .pattern( + {"aten::adaptive_max_pool1d(Tensor self, int[2] output_size) -> (Tensor, Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool1d"); + }}) + .pattern( + {"aten::adaptive_avg_pool2d(Tensor self, int[2] output_size) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool2d"); + }}) + .pattern( + {"aten::adaptive_max_pool2d(Tensor self, int[2] output_size) -> (Tensor, Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool2d"); + }}) + .pattern( + {"aten::adaptive_avg_pool3d(Tensor self, int[3] output_size) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kAVERAGE, "adaptive_avg_pool3d"); + }}) + .pattern( + {"aten::adaptive_max_pool3d(Tensor self, int[3] output_size) -> (Tensor, Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + return AdaptivePoolingConverter(ctx, n, args, nvinfer1::PoolingType::kMAX, "adaptive_max_pool3d"); + }}); } // namespace } // namespace impl } // namespace converters diff --git a/core/conversion/converters/impl/quantization.cpp b/core/conversion/converters/impl/quantization.cpp index f22344978c..e8fdc69f84 100644 --- a/core/conversion/converters/impl/quantization.cpp +++ b/core/conversion/converters/impl/quantization.cpp @@ -1,63 +1,63 @@ -#include -#include "core/conversion/converters/converters.h" -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -#if NV_TENSORRT_MAJOR > 7 -// clang-format off -auto quantization_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::fake_quantize_per_tensor_affine(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // This aten operator is generated from torch.fake_quantize_per_tensor_affine op in Pytorch python API. - // Example usage: https://github.com/pytorch/pytorch/blob/master/torch/quantization/fake_quantize.py#L145 - auto input = args[0].ITensorOrFreeze(ctx); - auto scale = args[1].unwrapToScalar().to(); - auto scaleTensor = tensor_to_const(ctx, torch::tensor({scale})); - // Add and configure a QuantizeLayer. - nvinfer1::IQuantizeLayer* quantize_layer = ctx->net->addQuantize(*input, *scaleTensor); - quantize_layer->setAxis(0); - - // Add and configure DequantizeLayer following a QuantizeLayer - nvinfer1::IDequantizeLayer* dequantize_layer = ctx->net->addDequantize(*quantize_layer->getOutput(0), *scaleTensor); - dequantize_layer->setAxis(0); - - auto qdq_out = ctx->AssociateValueAndTensor(n->outputs()[0], dequantize_layer->getOutput(0)); - LOG_DEBUG("[fake_quantize_per_tensor_affine] Output tensor shape: " << qdq_out->getDimensions()); - - return true; - }}) - .pattern({"aten::fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - // This aten operator is generated from torch.fake_quantize_per_channel_affine op in Pytorch python API. - // Example usage: https://github.com/pytorch/pytorch/blob/master/torch/quantization/fake_quantize.py#L141 - auto input = args[0].ITensorOrFreeze(ctx); - auto scale = args[1].ITensorOrFreeze(ctx); - int64_t axis = args[3].unwrapToScalar().to(); - // Add and configure a QuantizeLayer. - nvinfer1::IQuantizeLayer* quantize_layer = ctx->net->addQuantize(*input, *scale); - // Set a channel axis which represents output channels - quantize_layer->setAxis(axis); - - // Add and configure a DequantizeLayer. - nvinfer1::IDequantizeLayer* dequantize_layer = ctx->net->addDequantize(*quantize_layer->getOutput(0), *scale); - dequantize_layer->setAxis(axis); - auto qdq_out = ctx->AssociateValueAndTensor(n->outputs()[0], dequantize_layer->getOutput(0)); - - LOG_DEBUG("[fake_quantize_per_channel_affine] Ouput tensor shape: " << qdq_out->getDimensions()); - - return true; - }}); -// clang-format on -#endif -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt +#include +#include "core/conversion/converters/converters.h" +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +#if NV_TENSORRT_MAJOR > 7 +// clang-format off +auto quantization_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() + .pattern({"aten::fake_quantize_per_tensor_affine(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // This aten operator is generated from torch.fake_quantize_per_tensor_affine op in Pytorch python API. + // Example usage: https://github.com/pytorch/pytorch/blob/3139722679a9813ac8e60a07e577cd85c4b06a84/torch/quantization/fake_quantize.py#L145 + auto input = args[0].ITensorOrFreeze(ctx); + auto scale = args[1].unwrapToScalar().to(); + auto scaleTensor = tensor_to_const(ctx, torch::tensor({scale})); + // Add and configure a QuantizeLayer. + nvinfer1::IQuantizeLayer* quantize_layer = ctx->net->addQuantize(*input, *scaleTensor); + quantize_layer->setAxis(0); + + // Add and configure DequantizeLayer following a QuantizeLayer + nvinfer1::IDequantizeLayer* dequantize_layer = ctx->net->addDequantize(*quantize_layer->getOutput(0), *scaleTensor); + dequantize_layer->setAxis(0); + + auto qdq_out = ctx->AssociateValueAndTensor(n->outputs()[0], dequantize_layer->getOutput(0)); + LOG_DEBUG("[fake_quantize_per_tensor_affine] Output tensor shape: " << qdq_out->getDimensions()); + + return true; + }}) + .pattern({"aten::fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + // This aten operator is generated from torch.fake_quantize_per_channel_affine op in Pytorch python API. + // Example usage: https://github.com/pytorch/pytorch/blob/3139722679a9813ac8e60a07e577cd85c4b06a84/torch/quantization/fake_quantize.py#L145 + auto input = args[0].ITensorOrFreeze(ctx); + auto scale = args[1].ITensorOrFreeze(ctx); + int64_t axis = args[3].unwrapToScalar().to(); + // Add and configure a QuantizeLayer. + nvinfer1::IQuantizeLayer* quantize_layer = ctx->net->addQuantize(*input, *scale); + // Set a channel axis which represents output channels + quantize_layer->setAxis(axis); + + // Add and configure a DequantizeLayer. + nvinfer1::IDequantizeLayer* dequantize_layer = ctx->net->addDequantize(*quantize_layer->getOutput(0), *scale); + dequantize_layer->setAxis(axis); + auto qdq_out = ctx->AssociateValueAndTensor(n->outputs()[0], dequantize_layer->getOutput(0)); + + LOG_DEBUG("[fake_quantize_per_channel_affine] Ouput tensor shape: " << qdq_out->getDimensions()); + + return true; + }}); +// clang-format on +#endif +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/reduce.cpp b/core/conversion/converters/impl/reduce.cpp index 453d9a6b9d..03e6bd20ab 100644 --- a/core/conversion/converters/impl/reduce.cpp +++ b/core/conversion/converters/impl/reduce.cpp @@ -11,25 +11,25 @@ namespace { auto reduce_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::mean(Tensor self, *, ScalarType? dtype=None) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in_tensor = args[0].ITensorOrFreeze(ctx); - auto in_dims = util::toVec(in_tensor->getDimensions()); - LOG_WARNING("Mean Converter disregards dtype"); + .pattern( + {"aten::mean(Tensor self, *, ScalarType? dtype=None) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in_tensor = args[0].ITensorOrFreeze(ctx); + auto in_dims = util::toVec(in_tensor->getDimensions()); + LOG_WARNING("Mean Converter disregards dtype"); - uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); + uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); - auto mean_layer = - ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kAVG, axis_mask, false); + auto mean_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kAVG, axis_mask, false); - TORCHTRT_CHECK(mean_layer, "Unable to create mean layer from node: " << *n); + TORCHTRT_CHECK(mean_layer, "Unable to create mean layer from node: " << *n); - mean_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], mean_layer->getOutput(0)); + mean_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], mean_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) .pattern( {"aten::mean.dim(Tensor self, int[] dim, bool keepdim=False, *, int? dtype=None) -> (Tensor)", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { @@ -65,24 +65,25 @@ auto reduce_registrations TORCHTRT_UNUSED = LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); return true; }}) - .pattern({"aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in_tensor = args[0].ITensorOrFreeze(ctx); - auto in_dims = util::toVec(in_tensor->getDimensions()); - LOG_WARNING("Sum Converter disregards dtype"); + .pattern( + {"aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in_tensor = args[0].ITensorOrFreeze(ctx); + auto in_dims = util::toVec(in_tensor->getDimensions()); + LOG_WARNING("Sum Converter disregards dtype"); - uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); + uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); - auto sum_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kSUM, axis_mask, false); + auto sum_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kSUM, axis_mask, false); - TORCHTRT_CHECK(sum_layer, "Unable to create sum layer from node: " << *n); + TORCHTRT_CHECK(sum_layer, "Unable to create sum layer from node: " << *n); - sum_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], sum_layer->getOutput(0)); + sum_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], sum_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) .pattern( {"aten::sum.dim_IntList(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { @@ -122,69 +123,70 @@ auto reduce_registrations TORCHTRT_UNUSED = LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); return true; }}) - .pattern({"aten::prod(Tensor self, *, ScalarType? dtype=None) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in_tensor = args[0].ITensorOrFreeze(ctx); - auto in_dims = util::toVec(in_tensor->getDimensions()); - LOG_WARNING("Prod Converter disregards dtype"); + .pattern( + {"aten::prod(Tensor self, *, ScalarType? dtype=None) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in_tensor = args[0].ITensorOrFreeze(ctx); + auto in_dims = util::toVec(in_tensor->getDimensions()); + LOG_WARNING("Prod Converter disregards dtype"); - uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); + uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); - auto prod_layer = - ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kPROD, axis_mask, false); + auto prod_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kPROD, axis_mask, false); - TORCHTRT_CHECK(prod_layer, "Unable to create sum layer from node: " << *n); + TORCHTRT_CHECK(prod_layer, "Unable to create sum layer from node: " << *n); - prod_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], prod_layer->getOutput(0)); + prod_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], prod_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) - .pattern({"aten::prod.dim_int(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in_tensor = args[0].ITensorOrFreeze(ctx); - auto in_dims = in_tensor->getDimensions(); - auto dim = args[1].unwrapToInt(); - LOG_DEBUG("Dim to reduce (original): " << dim); - dim = dim < 0 ? (in_dims.nbDims + dim) : dim; - LOG_DEBUG("Dim to reduce (converted): " << dim); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) + .pattern( + {"aten::prod.dim_int(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in_tensor = args[0].ITensorOrFreeze(ctx); + auto in_dims = in_tensor->getDimensions(); + auto dim = args[1].unwrapToInt(); + LOG_DEBUG("Dim to reduce (original): " << dim); + dim = dim < 0 ? (in_dims.nbDims + dim) : dim; + LOG_DEBUG("Dim to reduce (converted): " << dim); - uint32_t axis_mask = 1 << dim; - LOG_DEBUG("Axis Mask: " << std::bitset<32>(axis_mask)); + uint32_t axis_mask = 1 << dim; + LOG_DEBUG("Axis Mask: " << std::bitset<32>(axis_mask)); - auto keepdim = args[2].unwrapToBool(); - LOG_DEBUG("Keep dims: " << keepdim); + auto keepdim = args[2].unwrapToBool(); + LOG_DEBUG("Keep dims: " << keepdim); - LOG_WARNING("Prod converter disregards dtype"); - auto prod_layer = - ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kPROD, axis_mask, keepdim); + LOG_WARNING("Prod converter disregards dtype"); + auto prod_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kPROD, axis_mask, keepdim); - TORCHTRT_CHECK(prod_layer, "Unable to create mean layer from node: " << *n); + TORCHTRT_CHECK(prod_layer, "Unable to create mean layer from node: " << *n); - prod_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], prod_layer->getOutput(0)); + prod_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], prod_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) - .pattern({"aten::max(Tensor self) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in_tensor = args[0].ITensorOrFreeze(ctx); - auto in_dims = util::toVec(in_tensor->getDimensions()); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) + .pattern( + {"aten::max(Tensor self) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in_tensor = args[0].ITensorOrFreeze(ctx); + auto in_dims = util::toVec(in_tensor->getDimensions()); - uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); + uint32_t axis_mask = (uint32_t)(((uint64_t)1 << in_dims.size()) - 1); - auto max_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kMAX, axis_mask, false); + auto max_layer = ctx->net->addReduce(*in_tensor, nvinfer1::ReduceOperation::kMAX, axis_mask, false); - TORCHTRT_CHECK(max_layer, "Unable to create max layer from node: " << *n); + TORCHTRT_CHECK(max_layer, "Unable to create max layer from node: " << *n); - max_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], max_layer->getOutput(0)); + max_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], max_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}) + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}) .pattern( {"aten::min(Tensor self) -> Tensor", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { auto in_tensor = args[0].ITensorOrFreeze(ctx); diff --git a/core/conversion/converters/impl/reflection_pad.cpp b/core/conversion/converters/impl/reflection_pad.cpp index 3b27bf435f..0df3aa31e1 100644 --- a/core/conversion/converters/impl/reflection_pad.cpp +++ b/core/conversion/converters/impl/reflection_pad.cpp @@ -1,145 +1,147 @@ -#include -#include -#include "NvInfer.h" -#include "core/conversion/converters/converters.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -auto reflection_padXd TORCHTRT_UNUSED = - RegisterNodeConversionPatterns() - .pattern({"aten::reflection_pad2d(Tensor self, int[4] padding) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto inDims = in->getDimensions(); - int64_t inRank = inDims.nbDims; - auto padding = args[1].unwrapToIntList().vec(); - if (padding.size() == 1) { - for (int64_t i = 0; i < 3; i++) - padding.push_back(padding[0]); - } - if (inRank == 4) { - TORCHTRT_CHECK(padding.size() == 4, "4D tensors expect 4 values for padding"); - } else { - TORCHTRT_THROW_ERROR("Only 4D padding are supported for now"); - } - - std::vector tensors_vec; - // 2d padding: (padding_left, padding_right, padding_top, padding_bottom) - - for (int64_t i = 0; i < int(padding.size() / 2); i++) { - int64_t axis = inRank - (i + 1); // axis = {inRank - 1, inRank - 2} - int64_t padding_index = i * 2; - - if (padding[padding_index] > 0) { // left/top padding value - tensors_vec.clear(); - - for (int i = 0; i < padding[padding_index]; i++) { - at::Tensor left_indices = torch::tensor({padding[padding_index] - i}, torch::kInt32); - auto indicesTensor = tensor_to_const(ctx, left_indices); - auto left_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); - auto left_gather_out = left_gather_layer->getOutput(0); - tensors_vec.push_back(left_gather_out); - } - tensors_vec.push_back(in); - auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); - concat_layer->setAxis(axis); - in = concat_layer->getOutput(0); - inDims = in->getDimensions(); - } - - if (padding[padding_index + 1] > 0) { // right/bottom padding value - tensors_vec.clear(); - tensors_vec.push_back(in); - - for (int i = 0; i < padding[padding_index + 1]; i++) { - nvinfer1::ITensor* indicesTensor = NULL; - auto indices = torch::tensor({inDims.d[axis] - 1 - (i + 1)}, torch::kInt32); - indicesTensor = tensor_to_const(ctx, indices); - auto right_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); - auto right_gather_out = right_gather_layer->getOutput(0); - tensors_vec.push_back(right_gather_out); - } - - auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); - concat_layer->setAxis(axis); - in = concat_layer->getOutput(0); - inDims = in->getDimensions(); - } - } - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}) - .pattern({"aten::reflection_pad1d(Tensor self, int[2] padding) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto inDims = in->getDimensions(); - int64_t inRank = inDims.nbDims; - auto padding = args[1].unwrapToIntList().vec(); - if (padding.size() == 1) { - for (int64_t i = 0; i < 1; i++) - padding.push_back(padding[0]); - } - - std::vector tensors_vec; - // 1d padding: (padding_left, padding_right) - - int64_t axis = inRank - 1; - int64_t padding_index = 0; - - if (padding[padding_index] > 0) { // left padding value - tensors_vec.clear(); - - for (int i = 0; i < padding[padding_index]; i++) { - at::Tensor left_indices = torch::tensor({padding[padding_index] - i}, torch::kInt32); - auto indicesTensor = tensor_to_const(ctx, left_indices); - auto left_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); - auto left_gather_out = left_gather_layer->getOutput(0); - tensors_vec.push_back(left_gather_out); - } - tensors_vec.push_back(in); - auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); - concat_layer->setAxis(axis); - in = concat_layer->getOutput(0); - inDims = in->getDimensions(); - } - - if (padding[padding_index + 1] > 0) { // right padding value - tensors_vec.clear(); - tensors_vec.push_back(in); - - for (int i = 0; i < padding[padding_index + 1]; i++) { - nvinfer1::ITensor* indicesTensor = NULL; - auto indices = torch::tensor({inDims.d[axis] - 1 - (i + 1)}, torch::kInt32); - indicesTensor = tensor_to_const(ctx, indices); - auto right_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); - auto right_gather_out = right_gather_layer->getOutput(0); - tensors_vec.push_back(right_gather_out); - } - - auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); - concat_layer->setAxis(axis); - in = concat_layer->getOutput(0); - inDims = in->getDimensions(); - } - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt +#include +#include +#include "NvInfer.h" +#include "core/conversion/converters/converters.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +auto reflection_padXd TORCHTRT_UNUSED = + RegisterNodeConversionPatterns() + .pattern( + {"aten::reflection_pad2d(Tensor self, int[4] padding) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto inDims = in->getDimensions(); + int64_t inRank = inDims.nbDims; + auto padding = args[1].unwrapToIntList().vec(); + if (padding.size() == 1) { + for (int64_t i = 0; i < 3; i++) + padding.push_back(padding[0]); + } + if (inRank == 4) { + TORCHTRT_CHECK(padding.size() == 4, "4D tensors expect 4 values for padding"); + } else { + TORCHTRT_THROW_ERROR("Only 4D padding are supported for now"); + } + + std::vector tensors_vec; + // 2d padding: (padding_left, padding_right, padding_top, padding_bottom) + + for (int64_t i = 0; i < int(padding.size() / 2); i++) { + int64_t axis = inRank - (i + 1); // axis = {inRank - 1, inRank - 2} + int64_t padding_index = i * 2; + + if (padding[padding_index] > 0) { // left/top padding value + tensors_vec.clear(); + + for (int i = 0; i < padding[padding_index]; i++) { + at::Tensor left_indices = torch::tensor({padding[padding_index] - i}, torch::kInt32); + auto indicesTensor = tensor_to_const(ctx, left_indices); + auto left_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); + auto left_gather_out = left_gather_layer->getOutput(0); + tensors_vec.push_back(left_gather_out); + } + tensors_vec.push_back(in); + auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); + concat_layer->setAxis(axis); + in = concat_layer->getOutput(0); + inDims = in->getDimensions(); + } + + if (padding[padding_index + 1] > 0) { // right/bottom padding value + tensors_vec.clear(); + tensors_vec.push_back(in); + + for (int i = 0; i < padding[padding_index + 1]; i++) { + nvinfer1::ITensor* indicesTensor = NULL; + auto indices = torch::tensor({inDims.d[axis] - 1 - (i + 1)}, torch::kInt32); + indicesTensor = tensor_to_const(ctx, indices); + auto right_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); + auto right_gather_out = right_gather_layer->getOutput(0); + tensors_vec.push_back(right_gather_out); + } + + auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); + concat_layer->setAxis(axis); + in = concat_layer->getOutput(0); + inDims = in->getDimensions(); + } + } + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}) + .pattern( + {"aten::reflection_pad1d(Tensor self, int[2] padding) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto inDims = in->getDimensions(); + int64_t inRank = inDims.nbDims; + auto padding = args[1].unwrapToIntList().vec(); + if (padding.size() == 1) { + for (int64_t i = 0; i < 1; i++) + padding.push_back(padding[0]); + } + + std::vector tensors_vec; + // 1d padding: (padding_left, padding_right) + + int64_t axis = inRank - 1; + int64_t padding_index = 0; + + if (padding[padding_index] > 0) { // left padding value + tensors_vec.clear(); + + for (int i = 0; i < padding[padding_index]; i++) { + at::Tensor left_indices = torch::tensor({padding[padding_index] - i}, torch::kInt32); + auto indicesTensor = tensor_to_const(ctx, left_indices); + auto left_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); + auto left_gather_out = left_gather_layer->getOutput(0); + tensors_vec.push_back(left_gather_out); + } + tensors_vec.push_back(in); + auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); + concat_layer->setAxis(axis); + in = concat_layer->getOutput(0); + inDims = in->getDimensions(); + } + + if (padding[padding_index + 1] > 0) { // right padding value + tensors_vec.clear(); + tensors_vec.push_back(in); + + for (int i = 0; i < padding[padding_index + 1]; i++) { + nvinfer1::ITensor* indicesTensor = NULL; + auto indices = torch::tensor({inDims.d[axis] - 1 - (i + 1)}, torch::kInt32); + indicesTensor = tensor_to_const(ctx, indices); + auto right_gather_layer = ctx->net->addGather(*in, *indicesTensor, axis); + auto right_gather_out = right_gather_layer->getOutput(0); + tensors_vec.push_back(right_gather_out); + } + + auto concat_layer = ctx->net->addConcatenation(tensors_vec.data(), tensors_vec.size()); + concat_layer->setAxis(axis); + in = concat_layer->getOutput(0); + inDims = in->getDimensions(); + } + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/replication_pad.cpp b/core/conversion/converters/impl/replication_pad.cpp index 470fbccaab..c98cdc86f1 100644 --- a/core/conversion/converters/impl/replication_pad.cpp +++ b/core/conversion/converters/impl/replication_pad.cpp @@ -96,21 +96,24 @@ bool replication_padXd(ConversionCtx* ctx, const torch::jit::Node* n, args& args auto replication_pad_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::replication_pad1d(Tensor self, int[2] padding) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - replication_padXd(ctx, n, args, 1); - return true; - }}) - .pattern({"aten::replication_pad2d(Tensor self, int[4] padding) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - replication_padXd(ctx, n, args, 2); - return true; - }}) - .pattern({"aten::replication_pad3d(Tensor self, int[6] padding) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - replication_padXd(ctx, n, args, 3); - return true; - }}); + .pattern( + {"aten::replication_pad1d(Tensor self, int[2] padding) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + replication_padXd(ctx, n, args, 1); + return true; + }}) + .pattern( + {"aten::replication_pad2d(Tensor self, int[4] padding) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + replication_padXd(ctx, n, args, 2); + return true; + }}) + .pattern( + {"aten::replication_pad3d(Tensor self, int[6] padding) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + replication_padXd(ctx, n, args, 3); + return true; + }}); } // namespace } // namespace impl diff --git a/core/conversion/converters/impl/select.cpp b/core/conversion/converters/impl/select.cpp index c4534662e5..31814a682b 100644 --- a/core/conversion/converters/impl/select.cpp +++ b/core/conversion/converters/impl/select.cpp @@ -105,118 +105,121 @@ nvinfer1::ITensor* roll( auto select_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns() - .pattern({"aten::select.int(Tensor(a) self, int dim, int index) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto maxDim = static_cast(in->getDimensions().nbDims); - auto dim = args[1].unwrapToInt(); - // Handle negative axis by refering to nbDims of input Tensor - dim = dim < 0 ? dim + maxDim : dim; - auto ind = (int32_t)args[2].unwrapToInt(); - // Along the specified dimension, handle negative index by subtracting along length of dimension. - ind = ind < 0 ? ind + in->getDimensions().d[dim] : ind; - LOG_DEBUG("Gather input dimensions: " << in->getDimensions()); - LOG_DEBUG("Dimension to select: " << dim); - LOG_DEBUG("Index: " << ind); - - // index to access needs to be an at::Tensor - at::Tensor indices = torch::tensor({ind}).to(torch::kI32); - auto const_out = tensor_to_const(ctx, indices); - - // IGatherLayer takes in input tensor, the indices, and the axis - // of input tensor to take indices from - auto gather_layer = ctx->net->addGather(*in, *const_out, dim); - TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); - auto out = gather_layer->getOutput(0); - - LOG_DEBUG("Gather tensor shape: " << out->getDimensions()); - - if (out->getDimensions().nbDims != 1) { - // IShuffleLayer removes redundant dimensions - auto shuffle_layer = ctx->net->addShuffle(*out); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - shuffle_layer->setReshapeDimensions(util::squeezeDims(out->getDimensions(), dim)); - shuffle_layer->setName(util::node_info(n).c_str()); - out = shuffle_layer->getOutput(0); - } - - out = ctx->AssociateValueAndTensor(n->outputs()[0], out); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}) - .pattern({"aten::narrow(Tensor(a) self, int dim, int start, int length) -> Tensor(a)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto axis = args[1].unwrapToInt(); - auto start = (int32_t)args[2].unwrapToInt(); - auto length = (int32_t)args[3].unwrapToInt(); - - // index to access needs to be an at::Tensor - at::Tensor indices = torch::arange(start, start + length, 1).to(torch::kI32); - auto weights = Weights(ctx, indices); - - // IConstantLayer to convert indices from Weights to ITensor - auto const_layer = ctx->net->addConstant(weights.shape, weights.data); - TORCHTRT_CHECK(const_layer, "Unable to create constant layer from node: " << *n); - auto const_out = const_layer->getOutput(0); - - // IGatherLayer takes in input tensor, the indices, and the axis - // of input tensor to take indices from - auto gather_layer = ctx->net->addGather(*in, *const_out, axis); - TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); - auto gather_out = gather_layer->getOutput(0); - - // IShuffleLayer removes redundant dimensions - auto shuffle_layer = ctx->net->addShuffle(*gather_out); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - shuffle_layer->setReshapeDimensions(util::unpadDims(gather_out->getDimensions())); - shuffle_layer->setName(util::node_info(n).c_str()); - auto shuffle_out = shuffle_layer->getOutput(0); - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_out); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}) - .pattern({"aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, int length) -> Tensor(a)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto axis = args[1].unwrapToInt(); - torch::Tensor start = args[2].IValue()->toTensor().to(torch::kI32); - int32_t startIdx = start.item().to(); - auto length = (int32_t)args[3].unwrapToInt(); - - // index to access needs to be an at::Tensor - at::Tensor indices = torch::arange(startIdx, startIdx + length, 1).to(torch::kI32); - auto weights = Weights(ctx, indices); - - // IConstantLayer to convert indices from Weights to ITensor - auto const_layer = ctx->net->addConstant(weights.shape, weights.data); - TORCHTRT_CHECK(const_layer, "Unable to create constant layer from node: " << *n); - auto const_out = const_layer->getOutput(0); - - // IGatherLayer takes in input tensor, the indices, and the axis - // of input tensor to take indices from - auto gather_layer = ctx->net->addGather(*in, *const_out, axis); - TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); - auto gather_out = gather_layer->getOutput(0); - - // IShuffleLayer removes redundant dimensions - auto shuffle_layer = ctx->net->addShuffle(*gather_out); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - shuffle_layer->setReshapeDimensions(util::unpadDims(gather_out->getDimensions())); - shuffle_layer->setName(util::node_info(n).c_str()); - auto shuffle_out = shuffle_layer->getOutput(0); - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_out); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}) + .pattern( + {"aten::select.int(Tensor(a) self, int dim, int index) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto maxDim = static_cast(in->getDimensions().nbDims); + auto dim = args[1].unwrapToInt(); + // Handle negative axis by refering to nbDims of input Tensor + dim = dim < 0 ? dim + maxDim : dim; + auto ind = (int32_t)args[2].unwrapToInt(); + // Along the specified dimension, handle negative index by subtracting along length of dimension. + ind = ind < 0 ? ind + in->getDimensions().d[dim] : ind; + LOG_DEBUG("Gather input dimensions: " << in->getDimensions()); + LOG_DEBUG("Dimension to select: " << dim); + LOG_DEBUG("Index: " << ind); + + // index to access needs to be an at::Tensor + at::Tensor indices = torch::tensor({ind}).to(torch::kI32); + auto const_out = tensor_to_const(ctx, indices); + + // IGatherLayer takes in input tensor, the indices, and the axis + // of input tensor to take indices from + auto gather_layer = ctx->net->addGather(*in, *const_out, dim); + TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); + auto out = gather_layer->getOutput(0); + + LOG_DEBUG("Gather tensor shape: " << out->getDimensions()); + + if (out->getDimensions().nbDims != 1) { + // IShuffleLayer removes redundant dimensions + auto shuffle_layer = ctx->net->addShuffle(*out); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + shuffle_layer->setReshapeDimensions(util::squeezeDims(out->getDimensions(), dim)); + shuffle_layer->setName(util::node_info(n).c_str()); + out = shuffle_layer->getOutput(0); + } + + out = ctx->AssociateValueAndTensor(n->outputs()[0], out); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}) + .pattern( + {"aten::narrow(Tensor(a) self, int dim, int start, int length) -> Tensor(a)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto axis = args[1].unwrapToInt(); + auto start = (int32_t)args[2].unwrapToInt(); + auto length = (int32_t)args[3].unwrapToInt(); + + // index to access needs to be an at::Tensor + at::Tensor indices = torch::arange(start, start + length, 1).to(torch::kI32); + auto weights = Weights(ctx, indices); + + // IConstantLayer to convert indices from Weights to ITensor + auto const_layer = ctx->net->addConstant(weights.shape, weights.data); + TORCHTRT_CHECK(const_layer, "Unable to create constant layer from node: " << *n); + auto const_out = const_layer->getOutput(0); + + // IGatherLayer takes in input tensor, the indices, and the axis + // of input tensor to take indices from + auto gather_layer = ctx->net->addGather(*in, *const_out, axis); + TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); + auto gather_out = gather_layer->getOutput(0); + + // IShuffleLayer removes redundant dimensions + auto shuffle_layer = ctx->net->addShuffle(*gather_out); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + shuffle_layer->setReshapeDimensions(util::unpadDims(gather_out->getDimensions())); + shuffle_layer->setName(util::node_info(n).c_str()); + auto shuffle_out = shuffle_layer->getOutput(0); + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_out); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}) + .pattern( + {"aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, int length) -> Tensor(a)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto axis = args[1].unwrapToInt(); + torch::Tensor start = args[2].IValue()->toTensor().to(torch::kI32); + int32_t startIdx = start.item().to(); + auto length = (int32_t)args[3].unwrapToInt(); + + // index to access needs to be an at::Tensor + at::Tensor indices = torch::arange(startIdx, startIdx + length, 1).to(torch::kI32); + auto weights = Weights(ctx, indices); + + // IConstantLayer to convert indices from Weights to ITensor + auto const_layer = ctx->net->addConstant(weights.shape, weights.data); + TORCHTRT_CHECK(const_layer, "Unable to create constant layer from node: " << *n); + auto const_out = const_layer->getOutput(0); + + // IGatherLayer takes in input tensor, the indices, and the axis + // of input tensor to take indices from + auto gather_layer = ctx->net->addGather(*in, *const_out, axis); + TORCHTRT_CHECK(gather_layer, "Unable to create gather layer from node: " << *n); + auto gather_out = gather_layer->getOutput(0); + + // IShuffleLayer removes redundant dimensions + auto shuffle_layer = ctx->net->addShuffle(*gather_out); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + shuffle_layer->setReshapeDimensions(util::unpadDims(gather_out->getDimensions())); + shuffle_layer->setName(util::node_info(n).c_str()); + auto shuffle_out = shuffle_layer->getOutput(0); + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_out); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}) .pattern( {"aten::embedding(Tensor weight, Tensor indices, int padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> (Tensor)", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { @@ -238,29 +241,30 @@ auto select_registrations TORCHTRT_UNUSED = return true; }}) - .pattern({"aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - auto shifts = args[1].unwrapToIntList().vec(); - auto dims = args[2].unwrapToIntList().vec(); - - TORCHTRT_CHECK(dims.size() == shifts.size(), "dims.size() should be equal to shifts.size()"); - if (ctx->input_is_dynamic) { - TORCHTRT_THROW_ERROR("aten::roll is currently not support in dynamic input shape compilation"); - } else { - auto in_shape = util::toVec(in->getDimensions()); - for (size_t i = 0; i < dims.size(); i++) { - auto dim = dims[i] < 0 ? (in_shape.size() + dims[i]) : dims[i]; - TORCHTRT_CHECK(dim < in_shape.size(), "Dimension out of range"); - in = roll(ctx, in, shifts[i], dim, in_shape); - } - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - } - }}) + .pattern( + {"aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + auto shifts = args[1].unwrapToIntList().vec(); + auto dims = args[2].unwrapToIntList().vec(); + + TORCHTRT_CHECK(dims.size() == shifts.size(), "dims.size() should be equal to shifts.size()"); + if (ctx->input_is_dynamic) { + TORCHTRT_THROW_ERROR("aten::roll is currently not support in dynamic input shape compilation"); + } else { + auto in_shape = util::toVec(in->getDimensions()); + for (size_t i = 0; i < dims.size(); i++) { + auto dim = dims[i] < 0 ? (in_shape.size() + dims[i]) : dims[i]; + TORCHTRT_CHECK(dim < in_shape.size(), "Dimension out of range"); + in = roll(ctx, in, shifts[i], dim, in_shape); + } + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], in); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + } + }}) .pattern( {"aten::index.Tensor(Tensor self, Tensor?[] indices) -> (Tensor)", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { @@ -404,57 +408,63 @@ auto select_registrations TORCHTRT_UNUSED = return true; }}) - .pattern({"aten::split(Tensor self, int[] split_sizes, int dim=0) -> (Tensor[])", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - add_split(ctx, n, args, true, false); - LOG_DEBUG("Converted split op into a list of IValues"); - return true; - }}) - .pattern({"aten::split.sizes(Tensor(a -> *) self, int[] split_size, int dim=0) -> (Tensor[])", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - add_split(ctx, n, args, true, false); - LOG_DEBUG("Converted split op into a list of IValues"); - return true; - }}) - .pattern({"aten::split.Tensor(Tensor(a) self, int split_size, int dim=0) -> (Tensor[])", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - add_split(ctx, n, args, false, false); - LOG_DEBUG("Converted split op into a list of IValues"); - return true; - }}) - .pattern({"aten::split_with_sizes(Tensor(a) self, int[] split_sizes, int dim=0) -> (Tensor[])", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - add_split(ctx, n, args, true, false); - LOG_DEBUG("Converted split op into a list of IValues"); - return true; - }}) - .pattern({"aten::unbind.int(Tensor(a -> *) self, int dim=0) -> (Tensor[])", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - add_split(ctx, n, args, false, true); - LOG_DEBUG("Converted split op into a list of IValues"); - return true; - }}) - .pattern({"aten::masked_fill.Scalar(Tensor self, Tensor mask, Scalar value) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto mask = args[1].ITensorOrFreeze(ctx); - mask = addPadding(ctx, n, mask, self->getDimensions().nbDims, false, true); - auto val = args[2].unwrapToScalar().to(); - auto val_t = tensor_to_const(ctx, torch::full(util::toVec(self->getDimensions()), val)); - - TORCHTRT_CHECK( - util::broadcastable(self->getDimensions(), mask->getDimensions(), /*multidirectional=*/false), - "Self and mask tensors are not broadcastable"); - - auto new_layer = ctx->net->addSelect(*mask, *val_t, *self); - TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::masked_fill"); - - new_layer->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); - LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); - return true; - }}); + .pattern( + {"aten::split(Tensor self, int[] split_sizes, int dim=0) -> (Tensor[])", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + add_split(ctx, n, args, true, false); + LOG_DEBUG("Converted split op into a list of IValues"); + return true; + }}) + .pattern( + {"aten::split.sizes(Tensor(a -> *) self, int[] split_size, int dim=0) -> (Tensor[])", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + add_split(ctx, n, args, true, false); + LOG_DEBUG("Converted split op into a list of IValues"); + return true; + }}) + .pattern( + {"aten::split.Tensor(Tensor(a) self, int split_size, int dim=0) -> (Tensor[])", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + add_split(ctx, n, args, false, false); + LOG_DEBUG("Converted split op into a list of IValues"); + return true; + }}) + .pattern( + {"aten::split_with_sizes(Tensor(a) self, int[] split_sizes, int dim=0) -> (Tensor[])", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + add_split(ctx, n, args, true, false); + LOG_DEBUG("Converted split op into a list of IValues"); + return true; + }}) + .pattern( + {"aten::unbind.int(Tensor(a -> *) self, int dim=0) -> (Tensor[])", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + add_split(ctx, n, args, false, true); + LOG_DEBUG("Converted split op into a list of IValues"); + return true; + }}) + .pattern( + {"aten::masked_fill.Scalar(Tensor self, Tensor mask, Scalar value) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto mask = args[1].ITensorOrFreeze(ctx); + mask = addPadding(ctx, n, mask, self->getDimensions().nbDims, false, true); + auto val = args[2].unwrapToScalar().to(); + auto val_t = tensor_to_const(ctx, torch::full(util::toVec(self->getDimensions()), val)); + + TORCHTRT_CHECK( + util::broadcastable(self->getDimensions(), mask->getDimensions(), /*multidirectional=*/false), + "Self and mask tensors are not broadcastable"); + + auto new_layer = ctx->net->addSelect(*mask, *val_t, *self); + TORCHTRT_CHECK(new_layer, "Unable to create layer for aten::masked_fill"); + + new_layer->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); + LOG_DEBUG("Output shape: " << out_tensor->getDimensions()); + return true; + }}); } // namespace } // namespace impl diff --git a/core/conversion/converters/impl/shuffle.cpp b/core/conversion/converters/impl/shuffle.cpp index f2a6c21812..c1f45707f0 100644 --- a/core/conversion/converters/impl/shuffle.cpp +++ b/core/conversion/converters/impl/shuffle.cpp @@ -38,197 +38,202 @@ static auto shuffle_registrations TORCHTRT_UNUSED = LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); return true; }}) - .pattern({"aten::reshape(Tensor self, int[] shape) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto in_shape = util::toVec(in->getDimensions()); - std::vector new_shape; - if (ctx->input_is_dynamic) { - TORCHTRT_THROW_ERROR("Resize is currently not support in dynamic input shape compilation"); - } else { - new_shape = torch::reshape(torch::rand(in_shape), args[1].unwrapToIntList().vec()).sizes().vec(); - } - - auto shuffle = ctx->net->addShuffle(*in); - TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); - shuffle->setReshapeDimensions(util::toDims(new_shape)); - shuffle->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}) - .pattern({"aten::view(Tensor(a) self, int[] size) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto in_shape = util::toVec(in->getDimensions()); - - auto shuffle = ctx->net->addShuffle(*in); - TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); - shuffle->setReshapeDimensions(util::toDims(args[1].unwrapToIntList().vec())); - shuffle->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}) - .pattern({"aten::permute(Tensor(a) self, int[] dims) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto in_shape = util::toVec(in->getDimensions()); - auto new_order = args[1].unwrapToIntList().vec(); - - LOG_DEBUG("Shuffle to: " << util::toDims(new_order)); - - auto shuffle = ctx->net->addShuffle(*in); - TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); - nvinfer1::Permutation permute; - std::copy(new_order.begin(), new_order.end(), permute.order); - shuffle->setSecondTranspose(permute); - shuffle->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}) - .pattern({"aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto in_shape = util::toVec(in->getDimensions()); - auto ndims = in_shape.size(); - auto dim0 = args[1].unwrapToInt(); - auto dim1 = args[2].unwrapToInt(); - - std::vector new_order; - for (size_t i = 0; i < ndims; i++) { - new_order.push_back(i); - } - dim0 = dim0 < 0 ? (dim0 + ndims) : dim0; - dim1 = dim1 < 0 ? (dim1 + ndims) : dim1; - auto tmp = dim0; - new_order[dim0] = new_order[dim1]; - new_order[dim1] = tmp; - - LOG_DEBUG("Shuffle to: " << util::toDims(new_order)); - - auto shuffle = ctx->net->addShuffle(*in); - TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); - nvinfer1::Permutation permute; - std::copy(new_order.begin(), new_order.end(), permute.order); - - shuffle->setSecondTranspose(permute); - shuffle->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}) - .pattern({"aten::t(Tensor self) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensorOrFreeze(ctx); - auto input_dims = in->getDimensions(); - // For input tensors < 2D, return them as is - // For a 2D input tensor, return transpose(input, 0, 1) which is a general 2d matrix transpose. - if (input_dims.nbDims < 2) { - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], in); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - return true; - } - - auto shuffle_layer = ctx->net->addShuffle(*in); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - nvinfer1::Permutation firstPerm; - firstPerm.order[0] = 1; - firstPerm.order[1] = 0; - - shuffle_layer->setFirstTranspose(firstPerm); - shuffle_layer->setZeroIsPlaceholder(false); - shuffle_layer->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}) - .pattern({"aten::pixel_shuffle(Tensor self, int upscale_factor) -> (Tensor)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto in_shape = util::toVec(self->getDimensions()); - int64_t irank = in_shape.size(); - TORCHTRT_CHECK( - irank >= 3, - "pixel_shuffle expects input to have at least 3 dimensions, but got input with " - << irank << " dimension(s)"); - int64_t upscale_factor = args[1].unwrapToInt(); - TORCHTRT_CHECK( - upscale_factor > 0, - "pixel_shuffle expects a positive upscale_factor, but got " << upscale_factor); - int64_t upscale_factor_squared = upscale_factor * upscale_factor; - - const auto NUM_NON_BATCH_DIMS = 3; - const auto self_sizes_batch_end = in_shape.end() - NUM_NON_BATCH_DIMS; - - int64_t ic = in_shape[irank - 3]; - int64_t ih = in_shape[irank - 2]; - int64_t iw = in_shape[irank - 1]; - - TORCHTRT_CHECK( - ic % upscale_factor_squared == 0, - "pixel_shuffle expects its input's 'channel' dimension to be divisible by the square of " - << "upscale_factor, but input.size(-3)=" << ic << " is not divisible by " - << upscale_factor_squared); - - int64_t oc = ic / upscale_factor_squared; - int64_t oh = ih * upscale_factor; - int64_t ow = iw * upscale_factor; - - // First, reshape to split the channels dim from c into 3 separate dims: (oc, - // upscale_factor, upscale_factor). This allows shuffling to be done next by - // permuting dims. - std::vector added_dims_shape(in_shape.begin(), self_sizes_batch_end); - added_dims_shape.insert(added_dims_shape.end(), {oc, upscale_factor, upscale_factor, ih, iw}); - auto view_layer = ctx->net->addShuffle(*self); - TORCHTRT_CHECK(view_layer, "Unable to create shuffle layer from node: " << *n); - view_layer->setReshapeDimensions(util::toDims(added_dims_shape)); - int64_t view_rank = added_dims_shape.size(); - - // Next, shuffle by permuting the new upscale_factor dims alongside the height and width dims. - auto permutation_layer = ctx->net->addShuffle(*view_layer->getOutput(0)); - TORCHTRT_CHECK(permutation_layer, "Unable to create shuffle layer from node: " << *n); - // std::iota is used to maintain the batch dims within the permutation. - // Eg: if added_dims_shape is {n1, n2, c, r, r, h, w}, then the new_order is {view_rank-7, - // view_rank-6, view_rank-5, view_rank-2, view_rank-4, view_rank-1, view_rank-3} - std::vector new_order(in_shape.begin(), self_sizes_batch_end); - std::iota(new_order.begin(), new_order.end(), 0); - new_order.insert( - new_order.end(), - {view_rank - 5 /* oc */, - view_rank - 2 /* ih */, - view_rank - 4 /* 1st upscale_factor */, - view_rank - 1 /* iw */, - view_rank - 3 /* 2nd upscale_factor */}); - nvinfer1::Permutation permute; - std::copy(new_order.begin(), new_order.end(), permute.order); - permutation_layer->setSecondTranspose(permute); - - // Finally, upscale by collapsing (ih, upscale_factor) -> a single dim (oh) - // and (iw, upscale_factor) -> a single dim (ow). - std::vector final_shape(in_shape.begin(), self_sizes_batch_end); - final_shape.insert(final_shape.end(), {oc, oh, ow}); - auto last_view_layer = ctx->net->addShuffle(*permutation_layer->getOutput(0)); - TORCHTRT_CHECK(last_view_layer, "Unable to create shuffle layer from node: " << *n); - last_view_layer->setReshapeDimensions(util::toDims(final_shape)); - last_view_layer->setName(util::node_info(n).c_str()); - - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], last_view_layer->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - - return true; - }}); + .pattern( + {"aten::reshape(Tensor self, int[] shape) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto in_shape = util::toVec(in->getDimensions()); + std::vector new_shape; + if (ctx->input_is_dynamic) { + TORCHTRT_THROW_ERROR("Resize is currently not support in dynamic input shape compilation"); + } else { + new_shape = torch::reshape(torch::rand(in_shape), args[1].unwrapToIntList().vec()).sizes().vec(); + } + + auto shuffle = ctx->net->addShuffle(*in); + TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); + shuffle->setReshapeDimensions(util::toDims(new_shape)); + shuffle->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}) + .pattern( + {"aten::view(Tensor(a) self, int[] size) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto in_shape = util::toVec(in->getDimensions()); + + auto shuffle = ctx->net->addShuffle(*in); + TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); + shuffle->setReshapeDimensions(util::toDims(args[1].unwrapToIntList().vec())); + shuffle->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}) + .pattern( + {"aten::permute(Tensor(a) self, int[] dims) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto in_shape = util::toVec(in->getDimensions()); + auto new_order = args[1].unwrapToIntList().vec(); + + LOG_DEBUG("Shuffle to: " << util::toDims(new_order)); + + auto shuffle = ctx->net->addShuffle(*in); + TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); + nvinfer1::Permutation permute; + std::copy(new_order.begin(), new_order.end(), permute.order); + shuffle->setSecondTranspose(permute); + shuffle->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}) + .pattern( + {"aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto in_shape = util::toVec(in->getDimensions()); + auto ndims = in_shape.size(); + auto dim0 = args[1].unwrapToInt(); + auto dim1 = args[2].unwrapToInt(); + + std::vector new_order; + for (size_t i = 0; i < ndims; i++) { + new_order.push_back(i); + } + dim0 = dim0 < 0 ? (dim0 + ndims) : dim0; + dim1 = dim1 < 0 ? (dim1 + ndims) : dim1; + auto tmp = dim0; + new_order[dim0] = new_order[dim1]; + new_order[dim1] = tmp; + + LOG_DEBUG("Shuffle to: " << util::toDims(new_order)); + + auto shuffle = ctx->net->addShuffle(*in); + TORCHTRT_CHECK(shuffle, "Unable to create shuffle layer from node: " << *n); + nvinfer1::Permutation permute; + std::copy(new_order.begin(), new_order.end(), permute.order); + + shuffle->setSecondTranspose(permute); + shuffle->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}) + .pattern( + {"aten::t(Tensor self) -> Tensor", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensorOrFreeze(ctx); + auto input_dims = in->getDimensions(); + // For input tensors < 2D, return them as is + // For a 2D input tensor, return transpose(input, 0, 1) which is a general 2d matrix transpose. + if (input_dims.nbDims < 2) { + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], in); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + return true; + } + + auto shuffle_layer = ctx->net->addShuffle(*in); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + nvinfer1::Permutation firstPerm; + firstPerm.order[0] = 1; + firstPerm.order[1] = 0; + + shuffle_layer->setFirstTranspose(firstPerm); + shuffle_layer->setZeroIsPlaceholder(false); + shuffle_layer->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}) + .pattern( + {"aten::pixel_shuffle(Tensor self, int upscale_factor) -> (Tensor)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto in_shape = util::toVec(self->getDimensions()); + int64_t irank = in_shape.size(); + TORCHTRT_CHECK( + irank >= 3, + "pixel_shuffle expects input to have at least 3 dimensions, but got input with " << irank + << " dimension(s)"); + int64_t upscale_factor = args[1].unwrapToInt(); + TORCHTRT_CHECK( + upscale_factor > 0, "pixel_shuffle expects a positive upscale_factor, but got " << upscale_factor); + int64_t upscale_factor_squared = upscale_factor * upscale_factor; + + const auto NUM_NON_BATCH_DIMS = 3; + const auto self_sizes_batch_end = in_shape.end() - NUM_NON_BATCH_DIMS; + + int64_t ic = in_shape[irank - 3]; + int64_t ih = in_shape[irank - 2]; + int64_t iw = in_shape[irank - 1]; + + TORCHTRT_CHECK( + ic % upscale_factor_squared == 0, + "pixel_shuffle expects its input's 'channel' dimension to be divisible by the square of " + << "upscale_factor, but input.size(-3)=" << ic << " is not divisible by " + << upscale_factor_squared); + + int64_t oc = ic / upscale_factor_squared; + int64_t oh = ih * upscale_factor; + int64_t ow = iw * upscale_factor; + + // First, reshape to split the channels dim from c into 3 separate dims: (oc, + // upscale_factor, upscale_factor). This allows shuffling to be done next by + // permuting dims. + std::vector added_dims_shape(in_shape.begin(), self_sizes_batch_end); + added_dims_shape.insert(added_dims_shape.end(), {oc, upscale_factor, upscale_factor, ih, iw}); + auto view_layer = ctx->net->addShuffle(*self); + TORCHTRT_CHECK(view_layer, "Unable to create shuffle layer from node: " << *n); + view_layer->setReshapeDimensions(util::toDims(added_dims_shape)); + int64_t view_rank = added_dims_shape.size(); + + // Next, shuffle by permuting the new upscale_factor dims alongside the height and width dims. + auto permutation_layer = ctx->net->addShuffle(*view_layer->getOutput(0)); + TORCHTRT_CHECK(permutation_layer, "Unable to create shuffle layer from node: " << *n); + // std::iota is used to maintain the batch dims within the permutation. + // Eg: if added_dims_shape is {n1, n2, c, r, r, h, w}, then the new_order is {view_rank-7, + // view_rank-6, view_rank-5, view_rank-2, view_rank-4, view_rank-1, view_rank-3} + std::vector new_order(in_shape.begin(), self_sizes_batch_end); + std::iota(new_order.begin(), new_order.end(), 0); + new_order.insert( + new_order.end(), + {view_rank - 5 /* oc */, + view_rank - 2 /* ih */, + view_rank - 4 /* 1st upscale_factor */, + view_rank - 1 /* iw */, + view_rank - 3 /* 2nd upscale_factor */}); + nvinfer1::Permutation permute; + std::copy(new_order.begin(), new_order.end(), permute.order); + permutation_layer->setSecondTranspose(permute); + + // Finally, upscale by collapsing (ih, upscale_factor) -> a single dim (oh) + // and (iw, upscale_factor) -> a single dim (ow). + std::vector final_shape(in_shape.begin(), self_sizes_batch_end); + final_shape.insert(final_shape.end(), {oc, oh, ow}); + auto last_view_layer = ctx->net->addShuffle(*permutation_layer->getOutput(0)); + TORCHTRT_CHECK(last_view_layer, "Unable to create shuffle layer from node: " << *n); + last_view_layer->setReshapeDimensions(util::toDims(final_shape)); + last_view_layer->setName(util::node_info(n).c_str()); + + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], last_view_layer->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + + return true; + }}); } // namespace } // namespace impl diff --git a/core/conversion/converters/impl/squeeze.cpp b/core/conversion/converters/impl/squeeze.cpp index f6884bb09e..8f4b437a88 100644 --- a/core/conversion/converters/impl/squeeze.cpp +++ b/core/conversion/converters/impl/squeeze.cpp @@ -1,52 +1,52 @@ -#include "NvInfer.h" -#include "core/conversion/converters/converters.h" -#include "core/conversion/tensorcontainer/TensorContainer.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -#include -#include - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -auto squeeze_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( - {"aten::squeeze.dim(Tensor(a) self, int dim) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto dim = args[1].unwrapToInt(); - - auto selfDim = util::toVec(self->getDimensions()); - if (dim < 0) { - dim = selfDim.size() + dim; - } - - if (selfDim[dim] != 1) { - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], self); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - } - - auto shuffle_layer = ctx->net->addShuffle(*self); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - shuffle_layer->setReshapeDimensions(util::squeezeDims(self->getDimensions(), dim)); - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "NvInfer.h" +#include "core/conversion/converters/converters.h" +#include "core/conversion/tensorcontainer/TensorContainer.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +#include +#include + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +auto squeeze_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( + {"aten::squeeze.dim(Tensor(a) self, int dim) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto dim = args[1].unwrapToInt(); + + auto selfDim = util::toVec(self->getDimensions()); + if (dim < 0) { + dim = selfDim.size() + dim; + } + + if (selfDim[dim] != 1) { + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], self); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + } + + auto shuffle_layer = ctx->net->addShuffle(*self); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + shuffle_layer->setReshapeDimensions(util::squeezeDims(self->getDimensions(), dim)); + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/stack.cpp b/core/conversion/converters/impl/stack.cpp index 49afbcc326..0f5b9da273 100644 --- a/core/conversion/converters/impl/stack.cpp +++ b/core/conversion/converters/impl/stack.cpp @@ -66,4 +66,4 @@ auto stack_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().patt } // namespace converters } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/topk.cpp b/core/conversion/converters/impl/topk.cpp index 9750aa05ae..0cc26b92c1 100644 --- a/core/conversion/converters/impl/topk.cpp +++ b/core/conversion/converters/impl/topk.cpp @@ -1,62 +1,62 @@ -#include "NvInfer.h" -#include "core/conversion/converters/converters.h" -#include "core/conversion/tensorcontainer/TensorContainer.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -#include -#include - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -auto topk_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( - {"aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto k = args[1].unwrapToInt(); - auto dim = args[2].unwrapToInt(); - auto largest = args[3].unwrapToBool(); - LOG_DEBUG( - "Note: sorted argument is not used in TensorRT for aten::topk, results will depend on the value of largest"); - // auto sorted = args[4].unwrapToBool(); # Currently unused - - auto selfDim = util::toVec(self->getDimensions()); - - // reduceAxes The reduction dimensions. The bit in position i of bitmask reduceAxes corresponds to explicit - // dimension i of the result. E.g., the least significant bit corresponds to the first explicit dimension and the - // next to least significant bit corresponds to the second explicit dimension. - - if (dim < 0) { - dim = selfDim.size() + dim; - } - - uint32_t shiftDim = 1 << dim; - - LOG_DEBUG("Output topk reduce dim: " << dim); - - auto TopKOperation = largest ? (nvinfer1::TopKOperation::kMAX) : (nvinfer1::TopKOperation::kMIN); - - auto new_layer = ctx->net->addTopK(*self, TopKOperation, k, shiftDim); - - TORCHTRT_CHECK(new_layer, "Unable to create topk layer from node: " << *n); - - auto out0 = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); - auto out1 = ctx->AssociateValueAndTensor(n->outputs()[1], new_layer->getOutput(1)); - - LOG_DEBUG("Output tensor(0) shape: " << out0->getDimensions()); - LOG_DEBUG("Output tensor(1) shape: " << out1->getDimensions()); - - return true; - }}); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "NvInfer.h" +#include "core/conversion/converters/converters.h" +#include "core/conversion/tensorcontainer/TensorContainer.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +#include +#include + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +auto topk_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( + {"aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices)", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto k = args[1].unwrapToInt(); + auto dim = args[2].unwrapToInt(); + auto largest = args[3].unwrapToBool(); + LOG_DEBUG( + "Note: sorted argument is not used in TensorRT for aten::topk, results will depend on the value of largest"); + // auto sorted = args[4].unwrapToBool(); # Currently unused + + auto selfDim = util::toVec(self->getDimensions()); + + // reduceAxes The reduction dimensions. The bit in position i of bitmask reduceAxes corresponds to explicit + // dimension i of the result. E.g., the least significant bit corresponds to the first explicit dimension and the + // next to least significant bit corresponds to the second explicit dimension. + + if (dim < 0) { + dim = selfDim.size() + dim; + } + + uint32_t shiftDim = 1 << dim; + + LOG_DEBUG("Output topk reduce dim: " << dim); + + auto TopKOperation = largest ? (nvinfer1::TopKOperation::kMAX) : (nvinfer1::TopKOperation::kMIN); + + auto new_layer = ctx->net->addTopK(*self, TopKOperation, k, shiftDim); + + TORCHTRT_CHECK(new_layer, "Unable to create topk layer from node: " << *n); + + auto out0 = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0)); + auto out1 = ctx->AssociateValueAndTensor(n->outputs()[1], new_layer->getOutput(1)); + + LOG_DEBUG("Output tensor(0) shape: " << out0->getDimensions()); + LOG_DEBUG("Output tensor(1) shape: " << out1->getDimensions()); + + return true; + }}); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/converters/impl/unary.cpp b/core/conversion/converters/impl/unary.cpp index a1d03a359d..6b0ee2bd6a 100644 --- a/core/conversion/converters/impl/unary.cpp +++ b/core/conversion/converters/impl/unary.cpp @@ -10,45 +10,41 @@ namespace converters { namespace impl { namespace { - auto abs_registration TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( - {"aten::abs (Tensor self) -> Tensor", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto in = args[0].ITensor(); - bool unary_supported_input = in->getType() == nvinfer1::DataType::kFLOAT - || in->getType() == nvinfer1::DataType::kHALF - || in->getType() == nvinfer1::DataType::kINT8; - if(unary_supported_input){ - auto unary_layer = ctx->net->addUnary(*in, nvinfer1::UnaryOperation::kABS); - TORCHTRT_CHECK(unary_layer, "Unable to create abs layer from node: " << *n); - unary_layer->setName(util::node_info(n).c_str()); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], unary_layer->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - return true; - } - else{ - //For types not supported by kABS, use an elementwise implementation abs(x) = max(x, -1 * x) - at::Tensor neg_one = torch::full({1}, -1).to(util::TRTDataTypeToScalarType(in->getType())); - auto neg_one_const = tensor_to_const(ctx, neg_one); - auto neg_layer = add_elementwise( + {"aten::abs (Tensor self) -> Tensor", [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto in = args[0].ITensor(); + bool unary_supported_input = in->getType() == nvinfer1::DataType::kFLOAT || + in->getType() == nvinfer1::DataType::kHALF || in->getType() == nvinfer1::DataType::kINT8; + if (unary_supported_input) { + auto unary_layer = ctx->net->addUnary(*in, nvinfer1::UnaryOperation::kABS); + TORCHTRT_CHECK(unary_layer, "Unable to create abs layer from node: " << *n); + unary_layer->setName(util::node_info(n).c_str()); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], unary_layer->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + return true; + } else { + // For types not supported by kABS, use an elementwise implementation abs(x) = max(x, -1 * x) + at::Tensor neg_one = torch::full({1}, -1).to(util::TRTDataTypeToScalarType(in->getType())); + auto neg_one_const = tensor_to_const(ctx, neg_one); + auto neg_layer = add_elementwise( ctx, nvinfer1::ElementWiseOperation::kPROD, in, neg_one_const, util::node_info(n) + std::string("_Negation")); - TORCHTRT_CHECK(neg_layer, "Unable to create prod layer from node: " << *n); - auto max_layer = add_elementwise( + TORCHTRT_CHECK(neg_layer, "Unable to create prod layer from node: " << *n); + auto max_layer = add_elementwise( ctx, nvinfer1::ElementWiseOperation::kMAX, in, neg_layer->getOutput(0), util::node_info(n) + std::string("_Max")); - TORCHTRT_CHECK(max_layer, "Unable to create max layer from node: " << *n); - auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], max_layer->getOutput(0)); - LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); - return true; - } - }}); + TORCHTRT_CHECK(max_layer, "Unable to create max layer from node: " << *n); + auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], max_layer->getOutput(0)); + LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); + return true; + } + }}); #define convert(unary, trt_type) \ auto unary##_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( \ diff --git a/core/conversion/converters/impl/unsqueeze.cpp b/core/conversion/converters/impl/unsqueeze.cpp index ced0079801..16a320c8bf 100644 --- a/core/conversion/converters/impl/unsqueeze.cpp +++ b/core/conversion/converters/impl/unsqueeze.cpp @@ -1,49 +1,49 @@ -#include "NvInfer.h" -#include "core/conversion/converters/converters.h" -#include "core/conversion/tensorcontainer/TensorContainer.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -#include -#include - -namespace torch_tensorrt { -namespace core { -namespace conversion { -namespace converters { -namespace impl { -namespace { - -auto unsqueeze_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( - {"aten::unsqueeze(Tensor(a) self, int dim) -> (Tensor(a))", - [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { - auto self = args[0].ITensorOrFreeze(ctx); - auto dim = args[1].unwrapToInt(); - - auto selfDim = util::toVec(self->getDimensions()); - int64_t nbDims = selfDim.size(); - TORCHTRT_CHECK( - dim <= nbDims && dim >= -(nbDims + 1), - "Dimension out of range (expected to be in range of [" << -(nbDims + 1) << ", " << nbDims << "], but got " - << dim << ")"); - if (dim < 0) { - dim = nbDims + 1 + dim; - } - - auto shuffle_layer = ctx->net->addShuffle(*self); - TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); - shuffle_layer->setReshapeDimensions(util::unsqueezeDims(self->getDimensions(), dim)); - - auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); - - LOG_DEBUG("Output tensor shape: " << out->getDimensions()); - - return true; - }}); - -} // namespace -} // namespace impl -} // namespace converters -} // namespace conversion -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "NvInfer.h" +#include "core/conversion/converters/converters.h" +#include "core/conversion/tensorcontainer/TensorContainer.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +#include +#include + +namespace torch_tensorrt { +namespace core { +namespace conversion { +namespace converters { +namespace impl { +namespace { + +auto unsqueeze_registrations TORCHTRT_UNUSED = RegisterNodeConversionPatterns().pattern( + {"aten::unsqueeze(Tensor(a) self, int dim) -> (Tensor(a))", + [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { + auto self = args[0].ITensorOrFreeze(ctx); + auto dim = args[1].unwrapToInt(); + + auto selfDim = util::toVec(self->getDimensions()); + int64_t nbDims = selfDim.size(); + TORCHTRT_CHECK( + dim <= nbDims && dim >= -(nbDims + 1), + "Dimension out of range (expected to be in range of [" << -(nbDims + 1) << ", " << nbDims << "], but got " + << dim << ")"); + if (dim < 0) { + dim = nbDims + 1 + dim; + } + + auto shuffle_layer = ctx->net->addShuffle(*self); + TORCHTRT_CHECK(shuffle_layer, "Unable to create shuffle layer from node: " << *n); + shuffle_layer->setReshapeDimensions(util::unsqueezeDims(self->getDimensions(), dim)); + + auto out = ctx->AssociateValueAndTensor(n->outputs()[0], shuffle_layer->getOutput(0)); + + LOG_DEBUG("Output tensor shape: " << out->getDimensions()); + + return true; + }}); + +} // namespace +} // namespace impl +} // namespace converters +} // namespace conversion +} // namespace core +} // namespace torch_tensorrt diff --git a/core/conversion/evaluators/BUILD b/core/conversion/evaluators/BUILD index 056355427d..bd2302f142 100644 --- a/core/conversion/evaluators/BUILD +++ b/core/conversion/evaluators/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -31,8 +34,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["evaluators.h"], diff --git a/core/conversion/evaluators/CMakeLists.txt b/core/conversion/evaluators/CMakeLists.txt index 2285440784..dbe7458a44 100644 --- a/core/conversion/evaluators/CMakeLists.txt +++ b/core/conversion/evaluators/CMakeLists.txt @@ -1,15 +1,15 @@ set(sub_lib_name "evaluators") -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/NodeEvaluatorRegistry.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/aten.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/eval_util.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/prim.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/evaluators.h" ) # Install headers -install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") \ No newline at end of file +install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") diff --git a/core/conversion/evaluators/aten.cpp b/core/conversion/evaluators/aten.cpp index ca9ff4d488..518219b361 100644 --- a/core/conversion/evaluators/aten.cpp +++ b/core/conversion/evaluators/aten.cpp @@ -126,91 +126,95 @@ DEFINE_TWO_INPUT_SIMPLE_EVALUATOR( auto aten_registrations TORCHTRT_UNUSED = RegisterNodeEvaluators() - .evaluator({c10::Symbol::fromQualString("aten::zeros"), - // aten::zeros(int[] size, *, int? dtype=None, int? layout=None, - // Device? device=None, bool? pin_memory=None) -> (Tensor) - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); - - // Input 1 here is the dtype - if (!args.at(n->input(1)).isNone() && !args.at(n->input(1)).IValue()->isNone()) { - options = options.dtype(c10::ScalarType(args.at(n->input(1)).unwrapToInt())); - } - - auto out_tensor = torch::zeros(args.at(n->input(0)).unwrapToIntList().vec(), options); - return out_tensor; - }}) - .evaluator({c10::Symbol::fromQualString("aten::ones"), - // aten::ones(int[] size, *, int? dtype=None, int? layout=None, - // Device? device=None, bool? pin_memory=None) -> (Tensor) - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); - - // Input 1 here is the dtype - if (!args.at(n->input(1)).isNone() && !args.at(n->input(1)).IValue()->isNone()) { - options = options.dtype(c10::ScalarType(args.at(n->input(1)).unwrapToInt())); - } - - auto out_tensor = torch::ones(args.at(n->input(0)).unwrapToIntList().vec(), options); - return out_tensor; - }}) - .evaluator({c10::Symbol::fromQualString("aten::full"), - // aten::full(int[] size, Scalar fill_value, *, int? dtype=None, int? layout=None, - // Device? device=None, bool? pin_memory=None) -> (Tensor) - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); - - // Input 2 here is the dtype - if (!args.at(n->input(2)).isNone() && !args.at(n->input(2)).IValue()->isNone()) { - options = options.dtype(c10::ScalarType(args.at(n->input(2)).unwrapToInt())); - } - - auto scalar_value = args.at(n->input(1)).unwrapToScalar().to(); - auto out_tensor = - torch::full(args.at(n->input(0)).unwrapToIntList().vec(), scalar_value, options); - return out_tensor; - }}) - .evaluator({c10::Symbol::fromQualString("aten::slice"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - c10::List list = args.at(n->input(0)).IValue()->to>(); - - int64_t start = 0; - auto startIVal = args.at(n->input(1)).IValue(); - if(!startIVal->isNone()){ - start = args.at(n->input(1)).unwrapToInt(); - } - int64_t end = args.at(n->input(2)).unwrapToInt(); - int64_t step = args.at(n->input(3)).unwrapToInt(); - - const int64_t list_size = list.size(); - - // clamp start and end to the bounds of the list - const auto normalized_start = std::max((int64_t)0, normalizeIndex(start, list_size)); - const auto normalized_end = std::min(list_size, normalizeIndex(end, list_size)); - - auto sliced_list = c10::impl::GenericList(list.elementType()); - if (normalized_end <= normalized_start) { - // early exit if the slice is trivially empty - return sliced_list; - } - - sliced_list.reserve(normalized_end - normalized_start); - - for (auto i = normalized_start; i < normalized_end;) { - sliced_list.push_back(list.get(i)); - i += step; - } - - return sliced_list; - }, - EvalOptions().validSchemas( - {"aten::slice.t(t[] l, int start, int end=9223372036854775807, int step=1) -> (t[])"})}) - .evaluator({c10::Symbol::fromQualString("aten::len"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - c10::List list = args.at(n->input(0)).IValue()->to>(); - return static_cast(list.size()); - }, - EvalOptions().validSchemas({"aten::len.t(t[] a) -> (int)"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::zeros"), + // aten::zeros(int[] size, *, int? dtype=None, int? layout=None, + // Device? device=None, bool? pin_memory=None) -> (Tensor) + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); + + // Input 1 here is the dtype + if (!args.at(n->input(1)).isNone() && !args.at(n->input(1)).IValue()->isNone()) { + options = options.dtype(c10::ScalarType(args.at(n->input(1)).unwrapToInt())); + } + + auto out_tensor = torch::zeros(args.at(n->input(0)).unwrapToIntList().vec(), options); + return out_tensor; + }}) + .evaluator( + {c10::Symbol::fromQualString("aten::ones"), + // aten::ones(int[] size, *, int? dtype=None, int? layout=None, + // Device? device=None, bool? pin_memory=None) -> (Tensor) + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); + + // Input 1 here is the dtype + if (!args.at(n->input(1)).isNone() && !args.at(n->input(1)).IValue()->isNone()) { + options = options.dtype(c10::ScalarType(args.at(n->input(1)).unwrapToInt())); + } + + auto out_tensor = torch::ones(args.at(n->input(0)).unwrapToIntList().vec(), options); + return out_tensor; + }}) + .evaluator( + {c10::Symbol::fromQualString("aten::full"), + // aten::full(int[] size, Scalar fill_value, *, int? dtype=None, int? layout=None, + // Device? device=None, bool? pin_memory=None) -> (Tensor) + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto options = torch::TensorOptions().layout(torch::kStrided).device(torch::kCUDA); + + // Input 2 here is the dtype + if (!args.at(n->input(2)).isNone() && !args.at(n->input(2)).IValue()->isNone()) { + options = options.dtype(c10::ScalarType(args.at(n->input(2)).unwrapToInt())); + } + + auto scalar_value = args.at(n->input(1)).unwrapToScalar().to(); + auto out_tensor = torch::full(args.at(n->input(0)).unwrapToIntList().vec(), scalar_value, options); + return out_tensor; + }}) + .evaluator( + {c10::Symbol::fromQualString("aten::slice"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + c10::List list = args.at(n->input(0)).IValue()->to>(); + + int64_t start = 0; + auto startIVal = args.at(n->input(1)).IValue(); + if (!startIVal->isNone()) { + start = args.at(n->input(1)).unwrapToInt(); + } + int64_t end = args.at(n->input(2)).unwrapToInt(); + int64_t step = args.at(n->input(3)).unwrapToInt(); + + const int64_t list_size = list.size(); + + // clamp start and end to the bounds of the list + const auto normalized_start = std::max((int64_t)0, normalizeIndex(start, list_size)); + const auto normalized_end = std::min(list_size, normalizeIndex(end, list_size)); + + auto sliced_list = c10::impl::GenericList(list.elementType()); + if (normalized_end <= normalized_start) { + // early exit if the slice is trivially empty + return sliced_list; + } + + sliced_list.reserve(normalized_end - normalized_start); + + for (auto i = normalized_start; i < normalized_end;) { + sliced_list.push_back(list.get(i)); + i += step; + } + + return sliced_list; + }, + EvalOptions().validSchemas( + {"aten::slice.t(t[] l, int start, int end=9223372036854775807, int step=1) -> (t[])"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::len"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + c10::List list = args.at(n->input(0)).IValue()->to>(); + return static_cast(list.size()); + }, + EvalOptions().validSchemas({"aten::len.t(t[] a) -> (int)"})}) .evaluator( {c10::Symbol::fromQualString("aten::size"), [](const torch::jit::Node* n, kwargs& args) -> c10::optional { @@ -261,167 +265,175 @@ auto aten_registrations TORCHTRT_UNUSED = }, EvalOptions().validSchemas( {"aten::size(Tensor self) -> (int[])", "aten::size.int(Tensor self, int dim) -> (int)"})}) - .evaluator({c10::Symbol::fromQualString("aten::__getitem__"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto list = args.at(n->input(0)).IValue()->to>(); - auto idx = args.at(n->input(1)).unwrapToInt(); - - const int64_t list_size = list.size(); - const int64_t normalized_idx = normalizeIndex(idx, list_size); - TORCHTRT_CHECK( - normalized_idx >= 0 || normalized_idx < list_size, - "List index out of range (aten::__getitem__)"); - return list.get(normalized_idx); - }, - EvalOptions().validSchemas({ - "aten::__getitem__.t(t[](a) list, int idx) -> (t(*))", - })}) - .evaluator({c10::Symbol::fromQualString("aten::append"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto list = args.at(n->input(0)).IValue()->to>(); - - if (args.at(n->input(1)).isITensor()) { - auto tensor_holder = TensorContainer(); - tensor_holder.hold_tensor(args.at(n->input(1)).ITensor()); - auto el = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); - list.push_back(std::move(el)); - } else { - auto el = args.at(n->input(1)).IValue(); - list.push_back(std::move(*el)); - } - - return list; - }, - EvalOptions().validSchemas({ - "aten::append.t(t[](a!) self, t(c -> *) el) -> (t[](a!))", - })}) - .evaluator({c10::Symbol::fromQualString("aten::extend"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isList() && args.at(n->input(1)).IValue()->isList()) { - c10::IValue* self_ptr = args.at(n->input(0)).IValueMut(); - auto self = self_ptr->to>(); - auto other = args.at(n->input(1)).IValue()->to>(); - const int64_t other_size = other.size(); - - // Modify value in place - for (int64_t i = 0; i < other_size; i++) { - self.push_back(other.get(i)); - } - - *self_ptr = c10::IValue(self); - return {}; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::extend.t evaluator: " - << args.at(n->input(0)).IValue()->type()->str() << ", " - << args.at(n->input(1)).IValue()->type()->str()); - } - }, - EvalOptions().validSchemas({ - "aten::extend.t(t[](a!) self, t[] other) -> ()", - })}) - .evaluator({c10::Symbol::fromQualString("aten::neg"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto el = args.at(n->input(0)).unwrapToInt(); - - return el * -1; - }, - EvalOptions().validSchemas({ - "aten::neg.int(int a) -> (int)", - })}) - .evaluator({c10::Symbol::fromQualString("aten::add"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - auto b = args.at(n->input(1)).unwrapToInt(); - return a + b; - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - auto b = args.at(n->input(1)).unwrapToDouble(); - return a + b; - } else if (args.at(n->input(0)).IValue()->isString()) { - auto a = args.at(n->input(0)).unwrapToString(); - auto b = args.at(n->input(1)).unwrapToString(); - return a + b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::add evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({"aten::add.int(int a, int b) -> (int)", - "aten::add.float(float a, float b) -> (float)", - "aten::add.str(str a, str b) -> (str)"})}) - .evaluator({c10::Symbol::fromQualString("aten::add_"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isList()) { - auto a = args.at(n->input(0)).IValue()->toListRef(); - auto b = args.at(n->input(1)).IValue()->toListRef(); - - c10::ListTypePtr lt = n->output()->type()->expect(); - c10::TypePtr elementType = lt->getElementType(); - - auto merged = c10::impl::GenericList(elementType); - merged.reserve(a.size() + b.size()); - - for (auto each : a) { - merged.emplace_back(each); - } - - for (auto each : b) { - merged.emplace_back(each); - } - - return merged; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::add_ evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({"aten::add_.t(t[](a!) self, t[] b) -> (t[])"})}) - .evaluator({c10::Symbol::fromQualString("aten::mul"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - auto b = args.at(n->input(1)).unwrapToInt(); - return a * b; - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - auto b = args.at(n->input(1)).unwrapToDouble(); - return a * b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::mul evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas( - {"aten::mul.int(int a, int b) -> (int)", "aten::mul.float(float a, float b) -> (float)"})}) - .evaluator({c10::Symbol::fromQualString("aten::sub"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - auto b = args.at(n->input(1)).unwrapToInt(); - return a - b; - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - auto b = args.at(n->input(1)).unwrapToDouble(); - return a - b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::sub evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::sub.float(float a, float b) -> (float)", - "aten::sub.int(int a, int b) -> (int)", - })}) + .evaluator( + {c10::Symbol::fromQualString("aten::__getitem__"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto list = args.at(n->input(0)).IValue()->to>(); + auto idx = args.at(n->input(1)).unwrapToInt(); + + const int64_t list_size = list.size(); + const int64_t normalized_idx = normalizeIndex(idx, list_size); + TORCHTRT_CHECK( + normalized_idx >= 0 || normalized_idx < list_size, "List index out of range (aten::__getitem__)"); + return list.get(normalized_idx); + }, + EvalOptions().validSchemas({ + "aten::__getitem__.t(t[](a) list, int idx) -> (t(*))", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::append"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto list = args.at(n->input(0)).IValue()->to>(); + + if (args.at(n->input(1)).isITensor()) { + auto tensor_holder = TensorContainer(); + tensor_holder.hold_tensor(args.at(n->input(1)).ITensor()); + auto el = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); + list.push_back(std::move(el)); + } else { + auto el = args.at(n->input(1)).IValue(); + list.push_back(std::move(*el)); + } + + return list; + }, + EvalOptions().validSchemas({ + "aten::append.t(t[](a!) self, t(c -> *) el) -> (t[](a!))", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::extend"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isList() && args.at(n->input(1)).IValue()->isList()) { + c10::IValue* self_ptr = args.at(n->input(0)).IValueMut(); + auto self = self_ptr->to>(); + auto other = args.at(n->input(1)).IValue()->to>(); + const int64_t other_size = other.size(); + + // Modify value in place + for (int64_t i = 0; i < other_size; i++) { + self.push_back(other.get(i)); + } + + *self_ptr = c10::IValue(self); + return {}; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::extend.t evaluator: " + << args.at(n->input(0)).IValue()->type()->str() << ", " + << args.at(n->input(1)).IValue()->type()->str()); + } + }, + EvalOptions().validSchemas({ + "aten::extend.t(t[](a!) self, t[] other) -> ()", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::neg"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto el = args.at(n->input(0)).unwrapToInt(); + + return el * -1; + }, + EvalOptions().validSchemas({ + "aten::neg.int(int a) -> (int)", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::add"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + auto b = args.at(n->input(1)).unwrapToInt(); + return a + b; + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + auto b = args.at(n->input(1)).unwrapToDouble(); + return a + b; + } else if (args.at(n->input(0)).IValue()->isString()) { + auto a = args.at(n->input(0)).unwrapToString(); + auto b = args.at(n->input(1)).unwrapToString(); + return a + b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::add evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas( + {"aten::add.int(int a, int b) -> (int)", + "aten::add.float(float a, float b) -> (float)", + "aten::add.str(str a, str b) -> (str)"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::add_"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isList()) { + auto a = args.at(n->input(0)).IValue()->toListRef(); + auto b = args.at(n->input(1)).IValue()->toListRef(); + + c10::ListTypePtr lt = n->output()->type()->expect(); + c10::TypePtr elementType = lt->getElementType(); + + auto merged = c10::impl::GenericList(elementType); + merged.reserve(a.size() + b.size()); + + for (auto each : a) { + merged.emplace_back(each); + } + + for (auto each : b) { + merged.emplace_back(each); + } + + return merged; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::add_ evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({"aten::add_.t(t[](a!) self, t[] b) -> (t[])"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::mul"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + auto b = args.at(n->input(1)).unwrapToInt(); + return a * b; + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + auto b = args.at(n->input(1)).unwrapToDouble(); + return a * b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::mul evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas( + {"aten::mul.int(int a, int b) -> (int)", "aten::mul.float(float a, float b) -> (float)"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::sub"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + auto b = args.at(n->input(1)).unwrapToInt(); + return a - b; + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + auto b = args.at(n->input(1)).unwrapToDouble(); + return a - b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::sub evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::sub.float(float a, float b) -> (float)", + "aten::sub.int(int a, int b) -> (int)", + })}) .evaluator( {c10::Symbol::fromQualString("aten::Bool"), [](const torch::jit::Node* n, kwargs& args) -> c10::optional { @@ -439,214 +451,227 @@ auto aten_registrations TORCHTRT_UNUSED = } }, EvalOptions().validSchemas({"aten::Bool.int(int a) -> (bool)", "aten::Bool.float(float b) -> (bool)"})}) - .evaluator({c10::Symbol::fromQualString("aten::Float"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - return (float)a; - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - return (float)a; - } else if (args.at(n->input(0)).IValue()->isBool()) { - auto a = args.at(n->input(0)).unwrapToBool(); - return (float)a; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::Float evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::Float.Scalar(Scalar a) -> float", - "aten::Float.int(int a) -> float", - "aten::Float.bool(bool a) -> float", - })}) - .evaluator({c10::Symbol::fromQualString("aten::Int"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - return (int)a; - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - return (int)a; - } else if (args.at(n->input(0)).IValue()->isBool()) { - auto a = args.at(n->input(0)).unwrapToBool(); - return (int)a; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::Int evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::Int.Scalar(Scalar a) -> int", - "aten::Int.int(int a) -> int", - "aten::Int.bool(bool a) -> int", - "aten::Int.float(float a) -> int", - })}) - .evaluator({c10::Symbol::fromQualString("aten::__not__"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto el = args.at(n->input(0)).unwrapToBool(); - - return !el; - }, - EvalOptions().validSchemas({ - "aten::__not__(bool self) -> bool", - })}) - .evaluator({c10::Symbol::fromQualString("aten::__is__"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto self = args.at(n->input(0)).IValue(); - auto obj = args.at(n->input(1)).IValue(); - - return self->isSameIdentity(*obj); - }, - EvalOptions().validSchemas({ - "aten::__is__(t1 self, t2 obj) -> bool", - })}) - .evaluator({c10::Symbol::fromQualString("aten::__isnot__"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto self = args.at(n->input(0)).IValue(); - auto obj = args.at(n->input(1)).IValue(); - - return !self->isSameIdentity(*obj); - }, - EvalOptions().validSchemas({ - "aten::__isnot__(t1 self, t2 obj) -> bool", - })}) - .evaluator({c10::Symbol::fromQualString("aten::numel"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - LOG_WARNING("There may be undefined behavior using dynamic shape and aten::numel"); - auto tensor_var = args.at(n->input(0)); - if (tensor_var.isITensor()) { - auto tensor = tensor_var.ITensor(); - return util::volume(tensor->getDimensions()); - } else { - auto tensor = tensor_var.unwrapToTensor(); - return tensor.numel(); - } - }, - EvalOptions().validSchemas({ - "aten::numel(Tensor self) -> int", - })}) - .evaluator({c10::Symbol::fromQualString("aten::dim"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto tensor_var = args.at(n->input(0)); - if (tensor_var.isITensor()) { - auto tensor = tensor_var.ITensor(); - return tensor->getDimensions().nbDims; - } else { - auto tensor = tensor_var.unwrapToTensor(); - return tensor.dim(); - } - }, - EvalOptions().validSchemas({ - "aten::dim(Tensor self) -> int", - })}) - .evaluator({c10::Symbol::fromQualString("aten::div"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - auto b = args.at(n->input(1)).unwrapToInt(); - return static_cast(a) / static_cast(b); - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - auto b = args.at(n->input(1)).unwrapToDouble(); - return a / b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::div evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::div.float(float a, float b) -> (float)", - "aten::div.int(int a, int b) -> (float)", - })}) - .evaluator({c10::Symbol::fromQualString("aten::floordiv"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - auto b = args.at(n->input(1)).unwrapToInt(); - return static_cast(std::floor(a / b)); - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - auto b = args.at(n->input(1)).unwrapToDouble(); - return std::floor(a / b); - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::floordiv evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::floordiv.float(float a, float b) -> (int)", - "aten::floordiv.int(int a, int b) -> (int)", - })}) - .evaluator({c10::Symbol::fromQualString("aten::floor"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto el = args.at(n->input(0)).unwrapToInt(); - return static_cast(std::floor(el)); - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto el = args.at(n->input(0)).unwrapToDouble(); - return static_cast(std::floor(el)); - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::floor evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::floor.int(int a) -> (int)", - "aten::floor.float(float a) -> (int)", - })}) - .evaluator({c10::Symbol::fromQualString("aten::sqrt"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - return std::sqrt(static_cast(a)); - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - return std::sqrt(a); - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for aten::sqrt evaluator: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - }, - EvalOptions().validSchemas({ - "aten::sqrt.int(int a) -> (float)", - "aten::sqrt.float(float a) -> (float)", - })}) - .evaluator({c10::Symbol::fromQualString("aten::warn"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto warning = args.at(n->input(0)).IValue(); - LOG_WARNING("Warning from TorchScript: " << *warning); - return {}; - }, - EvalOptions()}) - .evaluator({c10::Symbol::fromQualString("aten::is_floating_point"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto tensor_var = args.at(n->input(0)); - if (tensor_var.isITensor()) { - auto tensor = tensor_var.ITensor(); - auto t = tensor->getType(); - return (t == nvinfer1::DataType::kFLOAT || t == nvinfer1::DataType::kHALF); - } else { - auto tensor = tensor_var.unwrapToTensor(); - auto t = tensor.scalar_type(); - return at::isFloatingType(t); - } - }, - EvalOptions().validSchemas({ - "aten::is_floating_point(Tensor self) -> (bool)", - })}) + .evaluator( + {c10::Symbol::fromQualString("aten::Float"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + return (float)a; + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + return (float)a; + } else if (args.at(n->input(0)).IValue()->isBool()) { + auto a = args.at(n->input(0)).unwrapToBool(); + return (float)a; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::Float evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::Float.Scalar(Scalar a) -> float", + "aten::Float.int(int a) -> float", + "aten::Float.bool(bool a) -> float", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::Int"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + return (int)a; + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + return (int)a; + } else if (args.at(n->input(0)).IValue()->isBool()) { + auto a = args.at(n->input(0)).unwrapToBool(); + return (int)a; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::Int evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::Int.Scalar(Scalar a) -> int", + "aten::Int.int(int a) -> int", + "aten::Int.bool(bool a) -> int", + "aten::Int.float(float a) -> int", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::__not__"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto el = args.at(n->input(0)).unwrapToBool(); + + return !el; + }, + EvalOptions().validSchemas({ + "aten::__not__(bool self) -> bool", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::__is__"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto self = args.at(n->input(0)).IValue(); + auto obj = args.at(n->input(1)).IValue(); + + return self->isSameIdentity(*obj); + }, + EvalOptions().validSchemas({ + "aten::__is__(t1 self, t2 obj) -> bool", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::__isnot__"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto self = args.at(n->input(0)).IValue(); + auto obj = args.at(n->input(1)).IValue(); + + return !self->isSameIdentity(*obj); + }, + EvalOptions().validSchemas({ + "aten::__isnot__(t1 self, t2 obj) -> bool", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::numel"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + LOG_WARNING("There may be undefined behavior using dynamic shape and aten::numel"); + auto tensor_var = args.at(n->input(0)); + if (tensor_var.isITensor()) { + auto tensor = tensor_var.ITensor(); + return util::volume(tensor->getDimensions()); + } else { + auto tensor = tensor_var.unwrapToTensor(); + return tensor.numel(); + } + }, + EvalOptions().validSchemas({ + "aten::numel(Tensor self) -> int", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::dim"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto tensor_var = args.at(n->input(0)); + if (tensor_var.isITensor()) { + auto tensor = tensor_var.ITensor(); + return tensor->getDimensions().nbDims; + } else { + auto tensor = tensor_var.unwrapToTensor(); + return tensor.dim(); + } + }, + EvalOptions().validSchemas({ + "aten::dim(Tensor self) -> int", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::div"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + auto b = args.at(n->input(1)).unwrapToInt(); + return static_cast(a) / static_cast(b); + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + auto b = args.at(n->input(1)).unwrapToDouble(); + return a / b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::div evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::div.float(float a, float b) -> (float)", + "aten::div.int(int a, int b) -> (float)", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::floordiv"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + auto b = args.at(n->input(1)).unwrapToInt(); + return static_cast(std::floor(a / b)); + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + auto b = args.at(n->input(1)).unwrapToDouble(); + return std::floor(a / b); + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::floordiv evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::floordiv.float(float a, float b) -> (int)", + "aten::floordiv.int(int a, int b) -> (int)", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::floor"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto el = args.at(n->input(0)).unwrapToInt(); + return static_cast(std::floor(el)); + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto el = args.at(n->input(0)).unwrapToDouble(); + return static_cast(std::floor(el)); + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::floor evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::floor.int(int a) -> (int)", + "aten::floor.float(float a) -> (int)", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::sqrt"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + return std::sqrt(static_cast(a)); + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + return std::sqrt(a); + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for aten::sqrt evaluator: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + }, + EvalOptions().validSchemas({ + "aten::sqrt.int(int a) -> (float)", + "aten::sqrt.float(float a) -> (float)", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::warn"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto warning = args.at(n->input(0)).IValue(); + LOG_WARNING("Warning from TorchScript: " << *warning); + return {}; + }, + EvalOptions()}) + .evaluator( + {c10::Symbol::fromQualString("aten::is_floating_point"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto tensor_var = args.at(n->input(0)); + if (tensor_var.isITensor()) { + auto tensor = tensor_var.ITensor(); + auto t = tensor->getType(); + return (t == nvinfer1::DataType::kFLOAT || t == nvinfer1::DataType::kHALF); + } else { + auto tensor = tensor_var.unwrapToTensor(); + auto t = tensor.scalar_type(); + return at::isFloatingType(t); + } + }, + EvalOptions().validSchemas({ + "aten::is_floating_point(Tensor self) -> (bool)", + })}) .evaluator( {c10::Symbol::fromQualString("aten::tensor"), [](const torch::jit::Node* n, kwargs& args) -> c10::optional { @@ -658,125 +683,130 @@ auto aten_registrations TORCHTRT_UNUSED = }, EvalOptions().validSchemas( {"aten::tensor(t[] data, *, int? dtype=None, Device? device=None, bool requires_grad=False) -> (Tensor)"})}) - .evaluator({c10::Symbol::fromQualString("aten::arange"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto schema = n->maybeSchema(); - TORCHTRT_CHECK(schema, "Unable to get schema for node: " << *n); - auto name = schema->operator_name(); - - if (c10::toString(name) == "aten::arange") { - if (args.at(n->input(0)).IValue()->isInt()) { - int end_scalar = args.at(n->input(0)).unwrapToInt(); - return torch::arange(end_scalar); - } else if (args.at(n->input(0)).IValue()->isDouble()) { - float end_scalar = args.at(n->input(0)).unwrapToScalar().to(); - return torch::arange(end_scalar); - } - } else if (c10::toString(name) == "aten::arange.start") { - if (args.at(n->input(0)).IValue()->isDouble() || args.at(n->input(1)).IValue()->isDouble()) { - float start_scalar = args.at(n->input(0)).unwrapToScalar().to(); - float end_scalar = args.at(n->input(1)).unwrapToScalar().to(); - return torch::arange(start_scalar, end_scalar); - } else { - int start_scalar = args.at(n->input(0)).unwrapToInt(); - int end_scalar = args.at(n->input(1)).unwrapToInt(); - return torch::arange(start_scalar, end_scalar); - } - } else if (c10::toString(name) == "aten::arange.start_step") { - if (args.at(n->input(0)).IValue()->isDouble() || args.at(n->input(1)).IValue()->isDouble() || - args.at(n->input(2)).IValue()->isDouble()) { - float start_scalar = args.at(n->input(0)).unwrapToScalar().to(); - float end_scalar = args.at(n->input(1)).unwrapToScalar().to(); - float step_scalar = args.at(n->input(2)).unwrapToScalar().to(); - return torch::arange(start_scalar, end_scalar, step_scalar); - } else { - int start_scalar = args.at(n->input(0)).unwrapToInt(); - int end_scalar = args.at(n->input(1)).unwrapToInt(); - int step_scalar = args.at(n->input(2)).unwrapToInt(); - return torch::arange(start_scalar, end_scalar, step_scalar); - } - } else { - TORCHTRT_THROW_ERROR("Unsupported aten::arange variant: " << name); - } - return {}; - }, - EvalOptions().validSchemas({ - R"SIG(aten::arange(Scalar end, *, int? dtype=None, int? layout=None, + .evaluator( + {c10::Symbol::fromQualString("aten::arange"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto schema = n->maybeSchema(); + TORCHTRT_CHECK(schema, "Unable to get schema for node: " << *n); + auto name = schema->operator_name(); + + if (c10::toString(name) == "aten::arange") { + if (args.at(n->input(0)).IValue()->isInt()) { + int end_scalar = args.at(n->input(0)).unwrapToInt(); + return torch::arange(end_scalar); + } else if (args.at(n->input(0)).IValue()->isDouble()) { + float end_scalar = args.at(n->input(0)).unwrapToScalar().to(); + return torch::arange(end_scalar); + } + } else if (c10::toString(name) == "aten::arange.start") { + if (args.at(n->input(0)).IValue()->isDouble() || args.at(n->input(1)).IValue()->isDouble()) { + float start_scalar = args.at(n->input(0)).unwrapToScalar().to(); + float end_scalar = args.at(n->input(1)).unwrapToScalar().to(); + return torch::arange(start_scalar, end_scalar); + } else { + int start_scalar = args.at(n->input(0)).unwrapToInt(); + int end_scalar = args.at(n->input(1)).unwrapToInt(); + return torch::arange(start_scalar, end_scalar); + } + } else if (c10::toString(name) == "aten::arange.start_step") { + if (args.at(n->input(0)).IValue()->isDouble() || args.at(n->input(1)).IValue()->isDouble() || + args.at(n->input(2)).IValue()->isDouble()) { + float start_scalar = args.at(n->input(0)).unwrapToScalar().to(); + float end_scalar = args.at(n->input(1)).unwrapToScalar().to(); + float step_scalar = args.at(n->input(2)).unwrapToScalar().to(); + return torch::arange(start_scalar, end_scalar, step_scalar); + } else { + int start_scalar = args.at(n->input(0)).unwrapToInt(); + int end_scalar = args.at(n->input(1)).unwrapToInt(); + int step_scalar = args.at(n->input(2)).unwrapToInt(); + return torch::arange(start_scalar, end_scalar, step_scalar); + } + } else { + TORCHTRT_THROW_ERROR("Unsupported aten::arange variant: " << name); + } + return {}; + }, + EvalOptions().validSchemas({ + R"SIG(aten::arange(Scalar end, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor))SIG", - R"SIG(aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, + R"SIG(aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor))SIG", - R"SIG(aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, + R"SIG(aten::arange.start_step(Scalar start, Scalar end, Scalar step, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor))SIG", - })}) - .evaluator({c10::Symbol::fromQualString("aten::clone"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(0)).isITensor()) { - auto source_tensor = args.at(n->input(0)).ITensor(); - auto tensor_holder = TensorContainer(); - tensor_holder.hold_tensor(source_tensor); - auto clone_tensor = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); - return std::move(clone_tensor); - } else { - auto source_tensor = args.at(n->input(0)).unwrapToTensor(); - auto clone_tensor = source_tensor.clone(); - return clone_tensor; - } - }, - EvalOptions().validSchemas({ - R"SIG(aten::clone(Tensor self, *, int? memory_format=None) -> (Tensor))SIG", - })}) - .evaluator({c10::Symbol::fromQualString("aten::copy_"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (args.at(n->input(1)).isITensor()) { - auto source_tensor = args.at(n->input(1)).ITensor(); - auto tensor_holder = TensorContainer(); - tensor_holder.hold_tensor(source_tensor); - auto clone_tensor = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); - return std::move(clone_tensor); - } else { - auto source_tensor = args.at(n->input(1)).unwrapToTensor(); - auto self_tensor = args.at(n->input(0)).unwrapToTensor(); - self_tensor.copy_(source_tensor); - return self_tensor; - } - }, - EvalOptions().validSchemas({ - R"SIG(aten::copy_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> (Tensor(a!)))SIG", - })}) - .evaluator({c10::Symbol::fromQualString("aten::format"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - int64_t input_num = n->inputs().size(); - std::vector stack; - for (auto v : n->inputs()) { - stack.push_back(*args.at(v).IValue()); - } - stack.push_back(input_num); - auto& ops = torch::jit::getAllOperatorsFor(c10::Symbol::fromQualString("aten::format")); - auto& aten_format = ops.front(); - aten_format->getOperation()(stack); - std::string output; - torch::jit::pop(stack, output); - return output; - }, - EvalOptions().validSchemas({"aten::format(str self, ...) -> (str)"})}) - .evaluator({c10::Symbol::fromQualString("aten::__range_length"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto lo = args.at(n->input(0)).unwrapToInt(); - auto hi = args.at(n->input(1)).unwrapToInt(); - auto step = args.at(n->input(2)).unwrapToInt(); - - if (step == 0) { - TORCHTRT_THROW_ERROR("aten::__range_length() arg 3 must not be zero"); - } - if (step > 0 && lo < hi) { - return 1 + (hi - 1 - lo) / step; - } else if (step < 0 && lo > hi) { - return 1 + (lo - 1 - hi) / (0 - step); - } else { - return 0; - } - }, - EvalOptions().validSchemas({"aten::__range_length(int lo, int hi, int step) -> int"})}); + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::clone"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(0)).isITensor()) { + auto source_tensor = args.at(n->input(0)).ITensor(); + auto tensor_holder = TensorContainer(); + tensor_holder.hold_tensor(source_tensor); + auto clone_tensor = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); + return std::move(clone_tensor); + } else { + auto source_tensor = args.at(n->input(0)).unwrapToTensor(); + auto clone_tensor = source_tensor.clone(); + return clone_tensor; + } + }, + EvalOptions().validSchemas({ + R"SIG(aten::clone(Tensor self, *, int? memory_format=None) -> (Tensor))SIG", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::copy_"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (args.at(n->input(1)).isITensor()) { + auto source_tensor = args.at(n->input(1)).ITensor(); + auto tensor_holder = TensorContainer(); + tensor_holder.hold_tensor(source_tensor); + auto clone_tensor = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); + return std::move(clone_tensor); + } else { + auto source_tensor = args.at(n->input(1)).unwrapToTensor(); + auto self_tensor = args.at(n->input(0)).unwrapToTensor(); + self_tensor.copy_(source_tensor); + return self_tensor; + } + }, + EvalOptions().validSchemas({ + R"SIG(aten::copy_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> (Tensor(a!)))SIG", + })}) + .evaluator( + {c10::Symbol::fromQualString("aten::format"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + int64_t input_num = n->inputs().size(); + std::vector stack; + for (auto v : n->inputs()) { + stack.push_back(*args.at(v).IValue()); + } + stack.push_back(input_num); + auto& ops = torch::jit::getAllOperatorsFor(c10::Symbol::fromQualString("aten::format")); + auto& aten_format = ops.front(); + aten_format->getOperation()(stack); + std::string output; + torch::jit::pop(stack, output); + return output; + }, + EvalOptions().validSchemas({"aten::format(str self, ...) -> (str)"})}) + .evaluator( + {c10::Symbol::fromQualString("aten::__range_length"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto lo = args.at(n->input(0)).unwrapToInt(); + auto hi = args.at(n->input(1)).unwrapToInt(); + auto step = args.at(n->input(2)).unwrapToInt(); + + if (step == 0) { + TORCHTRT_THROW_ERROR("aten::__range_length() arg 3 must not be zero"); + } + if (step > 0 && lo < hi) { + return 1 + (hi - 1 - lo) / step; + } else if (step < 0 && lo > hi) { + return 1 + (lo - 1 - hi) / (0 - step); + } else { + return 0; + } + }, + EvalOptions().validSchemas({"aten::__range_length(int lo, int hi, int step) -> int"})}); } // namespace } // namespace evaluators } // namespace conversion diff --git a/core/conversion/evaluators/eval_util.cpp b/core/conversion/evaluators/eval_util.cpp index 742a4f4938..c14f9a6714 100644 --- a/core/conversion/evaluators/eval_util.cpp +++ b/core/conversion/evaluators/eval_util.cpp @@ -20,7 +20,6 @@ int64_t normalizeIndex(int64_t idx, int64_t list_size) { return idx; } - // TODO: Switch back to PyTorch canonical implimentation c10::optional toIValue(const torch::jit::Value* v) { if (v->node()->kind() != torch::jit::prim::Constant || v->type()->cast()) { diff --git a/core/conversion/evaluators/eval_util.h b/core/conversion/evaluators/eval_util.h index a9c21339bb..c63ead7461 100644 --- a/core/conversion/evaluators/eval_util.h +++ b/core/conversion/evaluators/eval_util.h @@ -20,4 +20,4 @@ at::Tensor scalar_to_tensor(const at::Scalar& s, const at::Device device = at::k } // namespace evaluators } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/evaluators/prim.cpp b/core/conversion/evaluators/prim.cpp index 338c427ccd..59984edacd 100644 --- a/core/conversion/evaluators/prim.cpp +++ b/core/conversion/evaluators/prim.cpp @@ -22,307 +22,320 @@ namespace { auto prim_registrations = RegisterNodeEvaluators() - .evaluator({torch::jit::prim::Constant, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (n->output()->type()->kind() == at::FunctionType::Kind) { - return {}; - } - return evaluators::toIValue(n->output()); - }}) - .evaluator({torch::jit::prim::NumToTensor, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - return evaluators::scalar_to_tensor(args.at(n->input(0)).IValue()->toScalar()); - }}) - .evaluator({torch::jit::prim::ListUnpack, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map - const torch::jit::IValue* outputs = args.at(n->input()).IValue(); - auto outputVec = outputs->toList().vec(); - return std::move(c10::ivalue::Tuple::create(outputVec)); - }}) - .evaluator({torch::jit::prim::ListConstruct, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - const auto num_inputs = n->inputs().size(); - if (constTypesOnly(args)) { - c10::ListTypePtr lt = n->output()->type()->expect(); - if (torch::jit::IntType::get() == lt->getElementType()) { - c10::List list; - list.reserve(num_inputs); - for (auto in : n->inputs()) { - list.emplace_back(std::move(args.at(in).unwrapToInt())); - } - return c10::optional(std::move(torch::jit::IValue(list))); - } else if (torch::jit::FloatType::get() == lt->getElementType()) { - c10::List list; - list.reserve(num_inputs); - for (auto in : n->inputs()) { - list.emplace_back(std::move(args.at(in).unwrapToDouble())); - } - return c10::optional(std::move(torch::jit::IValue(list))); - } else if (lt->getElementType() == torch::jit::BoolType::get()) { - c10::List list; - list.reserve(num_inputs); - for (auto in : n->inputs()) { - list.emplace_back(std::move(args.at(in).unwrapToBool())); - } - return c10::optional(std::move(torch::jit::IValue(list))); - } else if (lt->getElementType()->isSubtypeOf(torch::jit::TensorType::get())) { - c10::List list; - list.reserve(num_inputs); - for (auto in : n->inputs()) { - if (args.at(in).isIValue()) { - list.emplace_back(std::move(args.at(in).unwrapToTensor())); - } - } - return c10::optional(std::move(torch::jit::IValue(list))); - } else { - c10::TypePtr elementType = lt->getElementType(); - auto list = c10::impl::GenericList(elementType); - list.reserve(num_inputs); - for (auto in : n->inputs()) { - list.emplace_back(std::move(*(args.at(in).IValue()))); - } - return c10::optional(std::move(torch::jit::IValue(list))); - } - } else { - c10::ListTypePtr lt = n->output()->type()->expect(); - c10::TypePtr elementType = lt->getElementType(); - auto list = c10::impl::GenericList(elementType); - list.reserve(num_inputs); - for (auto in : n->inputs()) { - if (args.at(in).isITensor()) { - auto tensor_holder = TensorContainer(); - tensor_holder.hold_tensor(args.at(in).ITensor()); - auto ival = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); - list.emplace_back(std::move(ival)); - } else { - list.emplace_back(std::move(args.at(in).unwrapToTensor())); - } - } - return c10::optional(std::move(torch::jit::IValue(list))); - } - }}) - .evaluator({c10::Symbol::fromQualString("prim::dtype"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto input = args.at(n->input(0)); - if (input.isITensor()) { - auto trt_dtype = input.ITensor()->getType(); - return static_cast(util::TRTDataTypeToScalarType(trt_dtype)); - } else if (input.isIValue()) { - if (input.IValue()->isTensor()) { - auto pyt_input = input.IValue()->toTensor(); - return static_cast(pyt_input.scalar_type()); - } else { - TORCHTRT_THROW_ERROR("Unsupported input type in prim::dtype operator"); - return {}; - } - } else { - TORCHTRT_THROW_ERROR("Unsupported input type in prim::dtype operator"); - return {}; - } - }, - EvalOptions().validSchemas({ - "prim::dtype(Tensor a) -> (int)", - })}) - .evaluator({c10::Symbol::fromQualString("prim::min"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (n->inputs().size() == 1) { - auto a = args.at(n->input(0)).unwrapToIntList(); - int64_t min = std::numeric_limits::max(); + .evaluator( + {torch::jit::prim::Constant, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (n->output()->type()->kind() == at::FunctionType::Kind) { + return {}; + } + return evaluators::toIValue(n->output()); + }}) + .evaluator( + {torch::jit::prim::NumToTensor, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + return evaluators::scalar_to_tensor(args.at(n->input(0)).IValue()->toScalar()); + }}) + .evaluator( + {torch::jit::prim::ListUnpack, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map + const torch::jit::IValue* outputs = args.at(n->input()).IValue(); + auto outputVec = outputs->toList().vec(); + return std::move(c10::ivalue::Tuple::create(outputVec)); + }}) + .evaluator( + {torch::jit::prim::ListConstruct, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + const auto num_inputs = n->inputs().size(); + if (constTypesOnly(args)) { + c10::ListTypePtr lt = n->output()->type()->expect(); + if (torch::jit::IntType::get() == lt->getElementType()) { + c10::List list; + list.reserve(num_inputs); + for (auto in : n->inputs()) { + list.emplace_back(std::move(args.at(in).unwrapToInt())); + } + return c10::optional(std::move(torch::jit::IValue(list))); + } else if (torch::jit::FloatType::get() == lt->getElementType()) { + c10::List list; + list.reserve(num_inputs); + for (auto in : n->inputs()) { + list.emplace_back(std::move(args.at(in).unwrapToDouble())); + } + return c10::optional(std::move(torch::jit::IValue(list))); + } else if (lt->getElementType() == torch::jit::BoolType::get()) { + c10::List list; + list.reserve(num_inputs); + for (auto in : n->inputs()) { + list.emplace_back(std::move(args.at(in).unwrapToBool())); + } + return c10::optional(std::move(torch::jit::IValue(list))); + } else if (lt->getElementType()->isSubtypeOf(torch::jit::TensorType::get())) { + c10::List list; + list.reserve(num_inputs); + for (auto in : n->inputs()) { + if (args.at(in).isIValue()) { + list.emplace_back(std::move(args.at(in).unwrapToTensor())); + } + } + return c10::optional(std::move(torch::jit::IValue(list))); + } else { + c10::TypePtr elementType = lt->getElementType(); + auto list = c10::impl::GenericList(elementType); + list.reserve(num_inputs); + for (auto in : n->inputs()) { + list.emplace_back(std::move(*(args.at(in).IValue()))); + } + return c10::optional(std::move(torch::jit::IValue(list))); + } + } else { + c10::ListTypePtr lt = n->output()->type()->expect(); + c10::TypePtr elementType = lt->getElementType(); + auto list = c10::impl::GenericList(elementType); + list.reserve(num_inputs); + for (auto in : n->inputs()) { + if (args.at(in).isITensor()) { + auto tensor_holder = TensorContainer(); + tensor_holder.hold_tensor(args.at(in).ITensor()); + auto ival = c10::IValue(std::move(c10::make_intrusive(tensor_holder))); + list.emplace_back(std::move(ival)); + } else { + list.emplace_back(std::move(args.at(in).unwrapToTensor())); + } + } + return c10::optional(std::move(torch::jit::IValue(list))); + } + }}) + .evaluator( + {c10::Symbol::fromQualString("prim::dtype"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto input = args.at(n->input(0)); + if (input.isITensor()) { + auto trt_dtype = input.ITensor()->getType(); + return static_cast(util::TRTDataTypeToScalarType(trt_dtype)); + } else if (input.isIValue()) { + if (input.IValue()->isTensor()) { + auto pyt_input = input.IValue()->toTensor(); + return static_cast(pyt_input.scalar_type()); + } else { + TORCHTRT_THROW_ERROR("Unsupported input type in prim::dtype operator"); + return {}; + } + } else { + TORCHTRT_THROW_ERROR("Unsupported input type in prim::dtype operator"); + return {}; + } + }, + EvalOptions().validSchemas({ + "prim::dtype(Tensor a) -> (int)", + })}) + .evaluator( + {c10::Symbol::fromQualString("prim::min"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (n->inputs().size() == 1) { + auto a = args.at(n->input(0)).unwrapToIntList(); + int64_t min = std::numeric_limits::max(); - for (size_t i = 0; i < a.size(); i++) { - if (a[i] < min) { - min = a[i]; - } - } + for (size_t i = 0; i < a.size(); i++) { + if (a[i] < min) { + min = a[i]; + } + } - return min; - } else if (n->inputs().size() == 2) { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - if (args.at(n->input(1)).IValue()->isInt()) { - auto b = args.at(n->input(1)).unwrapToInt(); - return a < b ? a : b; - } else if (args.at(n->input(1)).IValue()->isDouble()) { - auto b = args.at(n->input(1)).unwrapToDouble(); - return a < b ? a : b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " - << args.at(n->input(1)).IValue()->type()->str()); - return {}; - } - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - if (args.at(n->input(1)).IValue()->isInt()) { - auto b = args.at(n->input(1)).unwrapToInt(); - return a < b ? a : b; - } else if (args.at(n->input(1)).IValue()->isDouble()) { - auto b = args.at(n->input(1)).unwrapToDouble(); - return a < b ? a : b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " - << args.at(n->input(1)).IValue()->type()->str()); - return {}; - } - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator a arg: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - } else { - TORCHTRT_THROW_ERROR("Unimplemented " << n->kind().toQualString() << " evaluator case"); - return {}; - } - }, - EvalOptions().validSchemas({ - "prim::min.self_int(int[] self) -> (int)", - "prim::min.bool(bool a, bool b) -> (bool)", - "prim::min.int(int a, int b) -> (bool)", - "prim::min.float(float a, float b) -> (bool)", - "prim::min.int_float(int a, float b) -> (bool)", - "prim::min.float_int(float a, int b) -> (bool)", - })}) - .evaluator({c10::Symbol::fromQualString("prim::max"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - if (n->inputs().size() == 1) { - auto a = args.at(n->input(0)).unwrapToIntList(); - int64_t max = std::numeric_limits::min(); + return min; + } else if (n->inputs().size() == 2) { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + if (args.at(n->input(1)).IValue()->isInt()) { + auto b = args.at(n->input(1)).unwrapToInt(); + return a < b ? a : b; + } else if (args.at(n->input(1)).IValue()->isDouble()) { + auto b = args.at(n->input(1)).unwrapToDouble(); + return a < b ? a : b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " + << args.at(n->input(1)).IValue()->type()->str()); + return {}; + } + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + if (args.at(n->input(1)).IValue()->isInt()) { + auto b = args.at(n->input(1)).unwrapToInt(); + return a < b ? a : b; + } else if (args.at(n->input(1)).IValue()->isDouble()) { + auto b = args.at(n->input(1)).unwrapToDouble(); + return a < b ? a : b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " + << args.at(n->input(1)).IValue()->type()->str()); + return {}; + } + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator a arg: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + } else { + TORCHTRT_THROW_ERROR("Unimplemented " << n->kind().toQualString() << " evaluator case"); + return {}; + } + }, + EvalOptions().validSchemas({ + "prim::min.self_int(int[] self) -> (int)", + "prim::min.bool(bool a, bool b) -> (bool)", + "prim::min.int(int a, int b) -> (bool)", + "prim::min.float(float a, float b) -> (bool)", + "prim::min.int_float(int a, float b) -> (bool)", + "prim::min.float_int(float a, int b) -> (bool)", + })}) + .evaluator( + {c10::Symbol::fromQualString("prim::max"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + if (n->inputs().size() == 1) { + auto a = args.at(n->input(0)).unwrapToIntList(); + int64_t max = std::numeric_limits::min(); - for (size_t i = 0; i < a.size(); i++) { - if (a[i] > max) { - max = a[i]; - } - } + for (size_t i = 0; i < a.size(); i++) { + if (a[i] > max) { + max = a[i]; + } + } - return max; - } else if (n->inputs().size() == 2) { - if (args.at(n->input(0)).IValue()->isInt()) { - auto a = args.at(n->input(0)).unwrapToInt(); - if (args.at(n->input(1)).IValue()->isInt()) { - auto b = args.at(n->input(1)).unwrapToInt(); - return a > b ? a : b; - } else if (args.at(n->input(1)).IValue()->isDouble()) { - auto b = args.at(n->input(1)).unwrapToDouble(); - return a > b ? a : b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " - << args.at(n->input(1)).IValue()->type()->str()); - return {}; - } - } else if (args.at(n->input(0)).IValue()->isDouble()) { - auto a = args.at(n->input(0)).unwrapToDouble(); - if (args.at(n->input(1)).IValue()->isInt()) { - auto b = args.at(n->input(1)).unwrapToInt(); - return a > b ? a : b; - } else if (args.at(n->input(1)).IValue()->isDouble()) { - auto b = args.at(n->input(1)).unwrapToDouble(); - return a > b ? a : b; - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " - << args.at(n->input(1)).IValue()->type()->str()); - return {}; - } - } else { - TORCHTRT_THROW_ERROR( - "Unimplemented data type for " << n->kind().toQualString() << " evaluator a arg: " - << args.at(n->input(0)).IValue()->type()->str()); - return {}; - } - } else { - TORCHTRT_THROW_ERROR("Unimplemented " << n->kind().toQualString() << " evaluator case"); - return {}; - } - }, - EvalOptions().validSchemas({ - "prim::max.self_int(int[] self) -> (int)", - "prim::max.bool(bool a, bool b) -> (bool)", - "prim::max.int(int a, int b) -> (bool)", - "prim::max.float(float a, float b) -> (bool)", - "prim::max.int_float(int a, float b) -> (bool)", - "prim::max.float_int(float a, int b) -> (bool)", - })}) - .evaluator({c10::Symbol::fromQualString("prim::shape"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - LOG_WARNING("There may be undefined behavior using dynamic shape and prim::shape"); - auto tensor_var = args.at(n->input(0)); - if (tensor_var.isITensor()) { - auto tensor = tensor_var.ITensor(); - return util::toVec(tensor->getDimensions()); - } else { - auto tensor = tensor_var.unwrapToTensor(); - return tensor.sizes(); - } - }, - EvalOptions().validSchemas({"prim::shape(Tensor a) -> (int[])"})}) - .evaluator({torch::jit::prim::TupleConstruct, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto num_inputs = n->inputs().size(); - c10::IValue tuple = c10::ivalue::Tuple::create(); - switch (num_inputs) { - case 0: - tuple = c10::ivalue::Tuple::create(); - break; - case 1: - tuple = c10::ivalue::Tuple::create(std::move((*args.at(n->input(0)).IValue()))); - break; - case 2: { - tuple = c10::ivalue::Tuple::create( - std::move(*(args.at(n->input(0)).IValue())), - std::move(*(args.at(n->input(1)).IValue()))); - break; - } - case 3: { - tuple = c10::ivalue::Tuple::create( - std::move(*(args.at(n->input(0)).IValue())), - std::move(*(args.at(n->input(1)).IValue())), - std::move(*(args.at(n->input(2)).IValue()))); - break; - } - default: { - std::vector elems; - for (size_t i = 0; i < num_inputs; i++) { - elems.push_back(*(args.at(n->input(i)).IValue())); - } - tuple = c10::ivalue::Tuple::create(std::move(elems)); - break; - } - } - return c10::optional(std::move(tuple)); - }}) - .evaluator({torch::jit::prim::TupleIndex, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map - auto tuple = args.at(n->input(0)).IValue()->toTuple(); - int64_t idx = args.at(n->input(1)).IValue()->toInt(); - int64_t norm_idx = normalizeIndex(idx, tuple->elements().size()); - return c10::optional(std::move(tuple->elements()[norm_idx])); - }, - EvalOptions().validSchemas({"prim::TupleIndex(Any tup, int i) -> (Any)"})}) - .evaluator({torch::jit::prim::TupleUnpack, - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map - auto output = args.at(n->input()).IValue()->toTuple(); - return c10::optional(std::move(output)); - }}) - .evaluator({c10::Symbol::fromQualString("prim::unchecked_cast"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - return *(args.at(n->input(0)).IValue()); - }}) - .evaluator({c10::Symbol::fromQualString("prim::Uninitialized"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - return c10::IValue::uninitialized(); - }}) - .evaluator({c10::Symbol::fromQualString("prim::RaiseException"), - [](const torch::jit::Node* n, kwargs& args) -> c10::optional { - auto exception = args.at(n->input(0)).IValue(); - TORCHTRT_THROW_ERROR("Error from TorchScript: " << *exception); - return {}; - }}); + return max; + } else if (n->inputs().size() == 2) { + if (args.at(n->input(0)).IValue()->isInt()) { + auto a = args.at(n->input(0)).unwrapToInt(); + if (args.at(n->input(1)).IValue()->isInt()) { + auto b = args.at(n->input(1)).unwrapToInt(); + return a > b ? a : b; + } else if (args.at(n->input(1)).IValue()->isDouble()) { + auto b = args.at(n->input(1)).unwrapToDouble(); + return a > b ? a : b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " + << args.at(n->input(1)).IValue()->type()->str()); + return {}; + } + } else if (args.at(n->input(0)).IValue()->isDouble()) { + auto a = args.at(n->input(0)).unwrapToDouble(); + if (args.at(n->input(1)).IValue()->isInt()) { + auto b = args.at(n->input(1)).unwrapToInt(); + return a > b ? a : b; + } else if (args.at(n->input(1)).IValue()->isDouble()) { + auto b = args.at(n->input(1)).unwrapToDouble(); + return a > b ? a : b; + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator b arg: " + << args.at(n->input(1)).IValue()->type()->str()); + return {}; + } + } else { + TORCHTRT_THROW_ERROR( + "Unimplemented data type for " << n->kind().toQualString() << " evaluator a arg: " + << args.at(n->input(0)).IValue()->type()->str()); + return {}; + } + } else { + TORCHTRT_THROW_ERROR("Unimplemented " << n->kind().toQualString() << " evaluator case"); + return {}; + } + }, + EvalOptions().validSchemas({ + "prim::max.self_int(int[] self) -> (int)", + "prim::max.bool(bool a, bool b) -> (bool)", + "prim::max.int(int a, int b) -> (bool)", + "prim::max.float(float a, float b) -> (bool)", + "prim::max.int_float(int a, float b) -> (bool)", + "prim::max.float_int(float a, int b) -> (bool)", + })}) + .evaluator( + {c10::Symbol::fromQualString("prim::shape"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + LOG_WARNING("There may be undefined behavior using dynamic shape and prim::shape"); + auto tensor_var = args.at(n->input(0)); + if (tensor_var.isITensor()) { + auto tensor = tensor_var.ITensor(); + return util::toVec(tensor->getDimensions()); + } else { + auto tensor = tensor_var.unwrapToTensor(); + return tensor.sizes(); + } + }, + EvalOptions().validSchemas({"prim::shape(Tensor a) -> (int[])"})}) + .evaluator( + {torch::jit::prim::TupleConstruct, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto num_inputs = n->inputs().size(); + c10::IValue tuple = c10::ivalue::Tuple::create(); + switch (num_inputs) { + case 0: + tuple = c10::ivalue::Tuple::create(); + break; + case 1: + tuple = c10::ivalue::Tuple::create(std::move((*args.at(n->input(0)).IValue()))); + break; + case 2: { + tuple = c10::ivalue::Tuple::create( + std::move(*(args.at(n->input(0)).IValue())), std::move(*(args.at(n->input(1)).IValue()))); + break; + } + case 3: { + tuple = c10::ivalue::Tuple::create( + std::move(*(args.at(n->input(0)).IValue())), + std::move(*(args.at(n->input(1)).IValue())), + std::move(*(args.at(n->input(2)).IValue()))); + break; + } + default: { + std::vector elems; + for (size_t i = 0; i < num_inputs; i++) { + elems.push_back(*(args.at(n->input(i)).IValue())); + } + tuple = c10::ivalue::Tuple::create(std::move(elems)); + break; + } + } + return c10::optional(std::move(tuple)); + }}) + .evaluator( + {torch::jit::prim::TupleIndex, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map + auto tuple = args.at(n->input(0)).IValue()->toTuple(); + int64_t idx = args.at(n->input(1)).IValue()->toInt(); + int64_t norm_idx = normalizeIndex(idx, tuple->elements().size()); + return c10::optional(std::move(tuple->elements()[norm_idx])); + }, + EvalOptions().validSchemas({"prim::TupleIndex(Any tup, int i) -> (Any)"})}) + .evaluator( + {torch::jit::prim::TupleUnpack, + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + // Outputs is an IValue which has list of tensors which can be found in ctx->evaluated_value_map + auto output = args.at(n->input()).IValue()->toTuple(); + return c10::optional(std::move(output)); + }}) + .evaluator( + {c10::Symbol::fromQualString("prim::unchecked_cast"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + return *(args.at(n->input(0)).IValue()); + }}) + .evaluator( + {c10::Symbol::fromQualString("prim::Uninitialized"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + return c10::IValue::uninitialized(); + }}) + .evaluator( + {c10::Symbol::fromQualString("prim::RaiseException"), + [](const torch::jit::Node* n, kwargs& args) -> c10::optional { + auto exception = args.at(n->input(0)).IValue(); + TORCHTRT_THROW_ERROR("Error from TorchScript: " << *exception); + return {}; + }}); } } // namespace evaluators } // namespace conversion diff --git a/core/conversion/tensorcontainer/BUILD b/core/conversion/tensorcontainer/BUILD index a8cefafdeb..f2d508a3fe 100644 --- a/core/conversion/tensorcontainer/BUILD +++ b/core/conversion/tensorcontainer/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -25,8 +28,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = [ diff --git a/core/conversion/tensorcontainer/CMakeLists.txt b/core/conversion/tensorcontainer/CMakeLists.txt index e92f1afa3c..4030f1157e 100644 --- a/core/conversion/tensorcontainer/CMakeLists.txt +++ b/core/conversion/tensorcontainer/CMakeLists.txt @@ -1,12 +1,12 @@ set(sub_lib_name "tensorcontainer") -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/TensorContainer.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/TensorContainer.h" ) # Install headers -install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") \ No newline at end of file +install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") diff --git a/core/conversion/tensorcontainer/TensorContainer.cpp b/core/conversion/tensorcontainer/TensorContainer.cpp index aa7d19f35c..40c55edc96 100644 --- a/core/conversion/tensorcontainer/TensorContainer.cpp +++ b/core/conversion/tensorcontainer/TensorContainer.cpp @@ -10,4 +10,4 @@ static auto tensor_container = } // namespace } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/tensorcontainer/TensorContainer.h b/core/conversion/tensorcontainer/TensorContainer.h index 81bd24e55a..66cbf11b93 100644 --- a/core/conversion/tensorcontainer/TensorContainer.h +++ b/core/conversion/tensorcontainer/TensorContainer.h @@ -24,4 +24,4 @@ struct TensorContainer : torch::CustomClassHolder { } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/conversion/var/BUILD b/core/conversion/var/BUILD index 26e4a9d312..e06e8c64d4 100644 --- a/core/conversion/var/BUILD +++ b/core/conversion/var/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -28,8 +31,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = [ diff --git a/core/conversion/var/CMakeLists.txt b/core/conversion/var/CMakeLists.txt index 200d093b4c..ebd63fc28b 100644 --- a/core/conversion/var/CMakeLists.txt +++ b/core/conversion/var/CMakeLists.txt @@ -1,13 +1,13 @@ set(sub_lib_name "var") -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/Var.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/Var.h" "${CMAKE_CURRENT_SOURCE_DIR}/Var_inl.h" ) # Install headers -install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") \ No newline at end of file +install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/conversion/${sub_lib_name}") diff --git a/core/conversion/var/Var.h b/core/conversion/var/Var.h index 4a81bbedd1..6d7edcecde 100644 --- a/core/conversion/var/Var.h +++ b/core/conversion/var/Var.h @@ -77,4 +77,4 @@ class Var : torch::CustomClassHolder { } // namespace core } // namespace torch_tensorrt -#include "core/conversion/var/Var_inl.h" \ No newline at end of file +#include "core/conversion/var/Var_inl.h" diff --git a/core/conversion/var/Var_inl.h b/core/conversion/var/Var_inl.h index 6abf4220ec..13760a908c 100644 --- a/core/conversion/var/Var_inl.h +++ b/core/conversion/var/Var_inl.h @@ -47,4 +47,4 @@ DEFINE_UNWRAP_TO(c10::List, TensorList) } // namespace conversion } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/ir/BUILD b/core/ir/BUILD index 2e9ef7e6a8..64de19d6de 100644 --- a/core/ir/BUILD +++ b/core/ir/BUILD @@ -1,38 +1,39 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( name = "use_pre_cxx11_abi", values = { "define": "abi=pre_cxx11_abi", - } + }, ) cc_library( name = "ir", - hdrs = [ - "ir.h" - ], srcs = [ - "ir.cpp", + "GraphInputs.cpp", "Input.cpp", "StaticParams.cpp", - "GraphInputs.cpp" + "ir.cpp", + ], + hdrs = [ + "ir.h", ], deps = [ "@tensorrt//:nvinfer", "//core/util:prelude", ] + select({ - ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], - "//conditions:default": ["@libtorch//:libtorch"], + ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], + "//conditions:default": ["@libtorch//:libtorch"], }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", - package_dir = "core/ir/", srcs = [ "ir.h", ], + package_dir = "core/ir/", ) diff --git a/core/ir/CMakeLists.txt b/core/ir/CMakeLists.txt index 1560888710..03a3fdc130 100644 --- a/core/ir/CMakeLists.txt +++ b/core/ir/CMakeLists.txt @@ -1,14 +1,14 @@ set(lib_name "core_ir") add_library(${lib_name} OBJECT) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/Input.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/ir.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/StaticParams.cpp" $ ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/ir.h" ) @@ -17,10 +17,10 @@ target_include_directories(${lib_name} "$" ) -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC TensorRT::nvinfer - torch + torch PRIVATE core_util ) diff --git a/core/lowering/BUILD b/core/lowering/BUILD index f93cf179d9..ae0f39032a 100644 --- a/core/lowering/BUILD +++ b/core/lowering/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -10,10 +13,10 @@ config_setting( cc_library( name = "lowering", srcs = [ + "LowerInfo.cpp", "drop_unused_nodes.cpp", "lowering.cpp", "register_trt_placeholder_ops.cpp", - "LowerInfo.cpp" ], hdrs = [ "lowering.h", @@ -28,8 +31,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["lowering.h"], diff --git a/core/lowering/CMakeLists.txt b/core/lowering/CMakeLists.txt index 4544ffd18d..445f627473 100644 --- a/core/lowering/CMakeLists.txt +++ b/core/lowering/CMakeLists.txt @@ -1,7 +1,7 @@ set(lib_name "core_lowering") add_library(${lib_name} OBJECT) -set(CXX_SRCS +set(CXX_SRCS "${CMAKE_CURRENT_SOURCE_DIR}/drop_unused_nodes.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/lowering.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/register_trt_placeholder_ops.cpp" @@ -12,18 +12,18 @@ set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/lowering.h" ) -target_sources(${lib_name} - PRIVATE +target_sources(${lib_name} + PRIVATE ${CXX_SRCS} $ ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PRIVATE "$" ) -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC torch PRIVATE diff --git a/core/lowering/LowerInfo.cpp b/core/lowering/LowerInfo.cpp index 3d788960d7..749dc9e024 100644 --- a/core/lowering/LowerInfo.cpp +++ b/core/lowering/LowerInfo.cpp @@ -20,4 +20,4 @@ std::ostream& operator<<(std::ostream& os, const LowerInfo& l) { } // namespace lowering } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/lowering/passes/BUILD b/core/lowering/passes/BUILD index a1e3b81bf4..1f6a0cde8f 100644 --- a/core/lowering/passes/BUILD +++ b/core/lowering/passes/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -16,22 +19,22 @@ cc_library( "linear_to_addmm.cpp", "module_fallback.cpp", "op_aliasing.cpp", - "reduce_to.cpp", "reduce_gelu.cpp", "reduce_remainder.cpp", + "reduce_to.cpp", "remove_bn_dim_check.cpp", "remove_contiguous.cpp", - "view_to_reshape.cpp", "remove_dropout.cpp", "remove_nops.cpp", "remove_unnecessary_casts.cpp", "silu_to_sigmoid_multiplication.cpp", "unpack_addmm.cpp", "unpack_batch_norm.cpp", - "unpack_log_softmax.cpp", "unpack_hardswish.cpp", + "unpack_log_softmax.cpp", "unpack_std.cpp", "unpack_var.cpp", + "view_to_reshape.cpp", ], hdrs = [ "passes.h", @@ -44,8 +47,6 @@ cc_library( }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["passes.h"], diff --git a/core/lowering/passes/CMakeLists.txt b/core/lowering/passes/CMakeLists.txt index 3c540f5768..a8cda65e71 100644 --- a/core/lowering/passes/CMakeLists.txt +++ b/core/lowering/passes/CMakeLists.txt @@ -1,4 +1,4 @@ -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/convNd_to_convolution.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/exception_elimination.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/fuse_addmm_branches.cpp" @@ -24,7 +24,7 @@ target_sources(${lib_name} "${CMAKE_CURRENT_SOURCE_DIR}/view_to_reshape.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/passes.h" ) diff --git a/core/lowering/passes/convNd_to_convolution.cpp b/core/lowering/passes/convNd_to_convolution.cpp index e5c4578a39..9dee870765 100644 --- a/core/lowering/passes/convNd_to_convolution.cpp +++ b/core/lowering/passes/convNd_to_convolution.cpp @@ -85,4 +85,4 @@ void Conv3DToConvolution(std::shared_ptr& graph) { } // namespace passes } // namespace lowering } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/lowering/passes/op_aliasing.cpp b/core/lowering/passes/op_aliasing.cpp index ac20b6853f..79ebaf6a02 100644 --- a/core/lowering/passes/op_aliasing.cpp +++ b/core/lowering/passes/op_aliasing.cpp @@ -30,4 +30,4 @@ void AliasOperators(std::shared_ptr& graph) { } // namespace passes } // namespace lowering } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/lowering/passes/reduce_gelu.cpp b/core/lowering/passes/reduce_gelu.cpp index 946df75f78..134c0604fc 100644 --- a/core/lowering/passes/reduce_gelu.cpp +++ b/core/lowering/passes/reduce_gelu.cpp @@ -1,77 +1,77 @@ -#include -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace lowering { -namespace passes { - -void ReduceGelu(std::shared_ptr& graph) { - std::string gelu_pattern = R"IR( - graph(%x : Tensor): - %out : Tensor = aten::gelu(%x) - return (%out))IR"; - - // This gelu_approximate_pattern schema exists in 21.11, 21.12, 22.01 containers of pytorch. These container versions - // use an unmerged PR in pytorch : https://github.com/pytorch/pytorch/pull/61439. We reduce this to regular Gelu. - std::string gelu_approximate_pattern = R"IR( - graph(%x : Tensor, %approx): - %out : Tensor = aten::gelu(%x, %approx) - return (%out))IR"; - - std::string gelu_reduce_pattern = R"IR( - graph(%x.1 : Tensor): - %6 : float = prim::Constant[value=0.044714999999999998]() - %5 : float = prim::Constant[value=0.79788456080000003]() - %4 : float = prim::Constant[value=1.]() - %3 : float = prim::Constant[value=0.5]() - %2 : int = prim::Constant[value=1]() - %7 : Tensor = aten::mul(%x.1, %3) - %8 : Tensor = aten::mul(%x.1, %5) - %9 : Tensor = aten::mul(%x.1, %6) - %10 : Tensor = aten::mul(%9, %x.1) - %11 : Tensor = aten::add(%10, %4, %2) - %12 : Tensor = aten::mul(%8, %11) - %13 : Tensor = aten::tanh(%12) - %14 : Tensor = aten::add(%13, %4, %2) - %15 : Tensor = aten::mul(%7, %14) - return (%15))IR"; - - // This is same as gelu_reduce_pattern except for an additional input %approx. - // SubgraphRewriter only works as expected if the number of inputs to gelu_approximate_pattern - // and gelu_reduce_multi_input_pattern are same. - std::string gelu_reduce_multi_input_pattern = R"IR( - graph(%x.1 : Tensor, %approx): - %6 : float = prim::Constant[value=0.044714999999999998]() - %5 : float = prim::Constant[value=0.79788456080000003]() - %4 : float = prim::Constant[value=1.]() - %3 : float = prim::Constant[value=0.5]() - %2 : int = prim::Constant[value=1]() - %7 : Tensor = aten::mul(%x.1, %3) - %8 : Tensor = aten::mul(%x.1, %5) - %9 : Tensor = aten::mul(%x.1, %6) - %10 : Tensor = aten::mul(%9, %x.1) - %11 : Tensor = aten::add(%10, %4, %2) - %12 : Tensor = aten::mul(%8, %11) - %13 : Tensor = aten::tanh(%12) - %14 : Tensor = aten::add(%13, %4, %2) - %15 : Tensor = aten::mul(%7, %14) - return (%15))IR"; - - // replace aten::gelu with pointwise operations - torch::jit::SubgraphRewriter map_gelu_to_pointwise_ops; - map_gelu_to_pointwise_ops.RegisterRewritePattern(gelu_pattern, gelu_reduce_pattern); - map_gelu_to_pointwise_ops.runOnGraph(graph); - - torch::jit::SubgraphRewriter map_gelu_approximate_to_pointwise_ops; - map_gelu_approximate_to_pointwise_ops.RegisterRewritePattern( - gelu_approximate_pattern, gelu_reduce_multi_input_pattern); - map_gelu_approximate_to_pointwise_ops.runOnGraph(graph); - - LOG_GRAPH("Post lowering of [aten::gelu] -> " << *graph); -} - -} // namespace passes -} // namespace lowering -} // namespace core -} // namespace torch_tensorrt +#include +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace lowering { +namespace passes { + +void ReduceGelu(std::shared_ptr& graph) { + std::string gelu_pattern = R"IR( + graph(%x : Tensor): + %out : Tensor = aten::gelu(%x) + return (%out))IR"; + + // This gelu_approximate_pattern schema exists in 21.11, 21.12, 22.01 containers of pytorch. These container versions + // use an unmerged PR in pytorch : https://github.com/pytorch/pytorch/pull/61439. We reduce this to regular Gelu. + std::string gelu_approximate_pattern = R"IR( + graph(%x : Tensor, %approx): + %out : Tensor = aten::gelu(%x, %approx) + return (%out))IR"; + + std::string gelu_reduce_pattern = R"IR( + graph(%x.1 : Tensor): + %6 : float = prim::Constant[value=0.044714999999999998]() + %5 : float = prim::Constant[value=0.79788456080000003]() + %4 : float = prim::Constant[value=1.]() + %3 : float = prim::Constant[value=0.5]() + %2 : int = prim::Constant[value=1]() + %7 : Tensor = aten::mul(%x.1, %3) + %8 : Tensor = aten::mul(%x.1, %5) + %9 : Tensor = aten::mul(%x.1, %6) + %10 : Tensor = aten::mul(%9, %x.1) + %11 : Tensor = aten::add(%10, %4, %2) + %12 : Tensor = aten::mul(%8, %11) + %13 : Tensor = aten::tanh(%12) + %14 : Tensor = aten::add(%13, %4, %2) + %15 : Tensor = aten::mul(%7, %14) + return (%15))IR"; + + // This is same as gelu_reduce_pattern except for an additional input %approx. + // SubgraphRewriter only works as expected if the number of inputs to gelu_approximate_pattern + // and gelu_reduce_multi_input_pattern are same. + std::string gelu_reduce_multi_input_pattern = R"IR( + graph(%x.1 : Tensor, %approx): + %6 : float = prim::Constant[value=0.044714999999999998]() + %5 : float = prim::Constant[value=0.79788456080000003]() + %4 : float = prim::Constant[value=1.]() + %3 : float = prim::Constant[value=0.5]() + %2 : int = prim::Constant[value=1]() + %7 : Tensor = aten::mul(%x.1, %3) + %8 : Tensor = aten::mul(%x.1, %5) + %9 : Tensor = aten::mul(%x.1, %6) + %10 : Tensor = aten::mul(%9, %x.1) + %11 : Tensor = aten::add(%10, %4, %2) + %12 : Tensor = aten::mul(%8, %11) + %13 : Tensor = aten::tanh(%12) + %14 : Tensor = aten::add(%13, %4, %2) + %15 : Tensor = aten::mul(%7, %14) + return (%15))IR"; + + // replace aten::gelu with pointwise operations + torch::jit::SubgraphRewriter map_gelu_to_pointwise_ops; + map_gelu_to_pointwise_ops.RegisterRewritePattern(gelu_pattern, gelu_reduce_pattern); + map_gelu_to_pointwise_ops.runOnGraph(graph); + + torch::jit::SubgraphRewriter map_gelu_approximate_to_pointwise_ops; + map_gelu_approximate_to_pointwise_ops.RegisterRewritePattern( + gelu_approximate_pattern, gelu_reduce_multi_input_pattern); + map_gelu_approximate_to_pointwise_ops.runOnGraph(graph); + + LOG_GRAPH("Post lowering of [aten::gelu] -> " << *graph); +} + +} // namespace passes +} // namespace lowering +} // namespace core +} // namespace torch_tensorrt diff --git a/core/lowering/passes/reduce_to.cpp b/core/lowering/passes/reduce_to.cpp index 4983978083..1aef153ba2 100644 --- a/core/lowering/passes/reduce_to.cpp +++ b/core/lowering/passes/reduce_to.cpp @@ -1,49 +1,49 @@ -#include - -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace lowering { -namespace passes { - -void ReduceToOperation(std::shared_ptr& graph) { - std::string to_dtype_layout_pattern = R"IR( - graph(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format): - %out : Tensor = aten::to(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format) - return (%out))IR"; - - std::string to_dtype_multi_input_pattern = R"IR( - graph(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format): - %out : Tensor = aten::to(%x, %device, %dtype, %nb, %copy, %format) - return (%out))IR"; - - std::string to_type_as_pattern = R"IR( - graph(%input, %other): - %out : Tensor = aten::type_as(%input, %other) - return (%out))IR"; - - std::string to_other_pattern = R"IR( - graph(%input, %other): - %5 : bool = prim::Constant[value=0]() - %6 : None = prim::Constant() - %out : Tensor = aten::to(%input, %other, %5, %5, %6) - return (%out))IR"; - - // replace aten::to.dtype_layout with aten::to.dtype - torch::jit::SubgraphRewriter map_aten_dtype_layout; - map_aten_dtype_layout.RegisterRewritePattern(to_dtype_layout_pattern, to_dtype_multi_input_pattern); - map_aten_dtype_layout.runOnGraph(graph); - - // replace aten::type_as with aten::to.other - torch::jit::SubgraphRewriter map_aten_type_as_to_other; - map_aten_type_as_to_other.RegisterRewritePattern(to_type_as_pattern, to_other_pattern); - map_aten_type_as_to_other.runOnGraph(graph); - - LOG_GRAPH("Post lowering of [aten::to.device|aten::type_as] -> " << *graph); -} - -} // namespace passes -} // namespace lowering -} // namespace core -} // namespace torch_tensorrt +#include + +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace lowering { +namespace passes { + +void ReduceToOperation(std::shared_ptr& graph) { + std::string to_dtype_layout_pattern = R"IR( + graph(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format): + %out : Tensor = aten::to(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format) + return (%out))IR"; + + std::string to_dtype_multi_input_pattern = R"IR( + graph(%x, %dtype, %layout, %device, %pm, %nb, %copy, %format): + %out : Tensor = aten::to(%x, %device, %dtype, %nb, %copy, %format) + return (%out))IR"; + + std::string to_type_as_pattern = R"IR( + graph(%input, %other): + %out : Tensor = aten::type_as(%input, %other) + return (%out))IR"; + + std::string to_other_pattern = R"IR( + graph(%input, %other): + %5 : bool = prim::Constant[value=0]() + %6 : None = prim::Constant() + %out : Tensor = aten::to(%input, %other, %5, %5, %6) + return (%out))IR"; + + // replace aten::to.dtype_layout with aten::to.dtype + torch::jit::SubgraphRewriter map_aten_dtype_layout; + map_aten_dtype_layout.RegisterRewritePattern(to_dtype_layout_pattern, to_dtype_multi_input_pattern); + map_aten_dtype_layout.runOnGraph(graph); + + // replace aten::type_as with aten::to.other + torch::jit::SubgraphRewriter map_aten_type_as_to_other; + map_aten_type_as_to_other.RegisterRewritePattern(to_type_as_pattern, to_other_pattern); + map_aten_type_as_to_other.runOnGraph(graph); + + LOG_GRAPH("Post lowering of [aten::to.device|aten::type_as] -> " << *graph); +} + +} // namespace passes +} // namespace lowering +} // namespace core +} // namespace torch_tensorrt diff --git a/core/lowering/passes/silu_to_sigmoid_multiplication.cpp b/core/lowering/passes/silu_to_sigmoid_multiplication.cpp index 80d6e844ae..22c147ccb0 100644 --- a/core/lowering/passes/silu_to_sigmoid_multiplication.cpp +++ b/core/lowering/passes/silu_to_sigmoid_multiplication.cpp @@ -1,31 +1,31 @@ -#include - -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace lowering { -namespace passes { - -void SiluToSigmoidMultipication(std::shared_ptr& graph) { - std::string silu_pattern = R"IR( - graph(%x): - %1 : Tensor = aten::silu(%x) - return (%1))IR"; - std::string sigmoid_multiplication_pattern = R"IR( - graph(%x): - %1 : Tensor = aten::sigmoid(%x) - %2 : Tensor = aten::mul(%x, %1) - return (%2))IR"; - ; - - torch::jit::SubgraphRewriter map_silu_to_sigmoid_multiplication; - map_silu_to_sigmoid_multiplication.RegisterRewritePattern(silu_pattern, sigmoid_multiplication_pattern); - map_silu_to_sigmoid_multiplication.runOnGraph(graph); - LOG_GRAPH("Post map silu -> x * sigmoid(x): " << *graph); -} - -} // namespace passes -} // namespace lowering -} // namespace core -} // namespace torch_tensorrt +#include + +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace lowering { +namespace passes { + +void SiluToSigmoidMultipication(std::shared_ptr& graph) { + std::string silu_pattern = R"IR( + graph(%x): + %1 : Tensor = aten::silu(%x) + return (%1))IR"; + std::string sigmoid_multiplication_pattern = R"IR( + graph(%x): + %1 : Tensor = aten::sigmoid(%x) + %2 : Tensor = aten::mul(%x, %1) + return (%2))IR"; + ; + + torch::jit::SubgraphRewriter map_silu_to_sigmoid_multiplication; + map_silu_to_sigmoid_multiplication.RegisterRewritePattern(silu_pattern, sigmoid_multiplication_pattern); + map_silu_to_sigmoid_multiplication.runOnGraph(graph); + LOG_GRAPH("Post map silu -> x * sigmoid(x): " << *graph); +} + +} // namespace passes +} // namespace lowering +} // namespace core +} // namespace torch_tensorrt diff --git a/core/lowering/passes/view_to_reshape.cpp b/core/lowering/passes/view_to_reshape.cpp index 291d54bb06..6f6b95f090 100644 --- a/core/lowering/passes/view_to_reshape.cpp +++ b/core/lowering/passes/view_to_reshape.cpp @@ -1,31 +1,31 @@ -#include -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace lowering { -namespace passes { - -void ViewToReshape(std::shared_ptr& graph) { - std::string view_pattern = R"IR( - graph(%x, %1): - %out : Tensor = aten::view(%x, %1) - return (%out))IR"; - - std::string reshape_pattern = R"IR( - graph(%x, %1): - %out : Tensor = aten::reshape(%x, %1) - return (%out))IR"; - - // replace aten::view with aten::reshape - torch::jit::SubgraphRewriter map_view_to_reshape; - map_view_to_reshape.RegisterRewritePattern(view_pattern, reshape_pattern); - map_view_to_reshape.runOnGraph(graph); - - LOG_GRAPH("Post lowering of aten::view -> " << *graph); -} - -} // namespace passes -} // namespace lowering -} // namespace core -} // namespace torch_tensorrt +#include +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace lowering { +namespace passes { + +void ViewToReshape(std::shared_ptr& graph) { + std::string view_pattern = R"IR( + graph(%x, %1): + %out : Tensor = aten::view(%x, %1) + return (%out))IR"; + + std::string reshape_pattern = R"IR( + graph(%x, %1): + %out : Tensor = aten::reshape(%x, %1) + return (%out))IR"; + + // replace aten::view with aten::reshape + torch::jit::SubgraphRewriter map_view_to_reshape; + map_view_to_reshape.RegisterRewritePattern(view_pattern, reshape_pattern); + map_view_to_reshape.runOnGraph(graph); + + LOG_GRAPH("Post lowering of aten::view -> " << *graph); +} + +} // namespace passes +} // namespace lowering +} // namespace core +} // namespace torch_tensorrt diff --git a/core/partitioning/BUILD b/core/partitioning/BUILD index 67da00d24e..fbc9eeac7a 100644 --- a/core/partitioning/BUILD +++ b/core/partitioning/BUILD @@ -1,48 +1,48 @@ -package(default_visibility = ["//visibility:public"]) - -config_setting( - name = "use_pre_cxx11_abi", - values = { - "define": "abi=pre_cxx11_abi", - } -) - -cc_library( - name = "partitioning", - hdrs = [ - "SegmentedBlock.h", - "shape_analysis.h", - "PartitionInfo.h", - "partitioning.h", - ], - srcs = [ - "SegmentedBlock.cpp", - "shape_analysis.cpp", - "partitioning.cpp", - "PartitionInfo.cpp", - ], - deps = [ - "//core/util:prelude", - "//core/ir", - "//core/conversion", - "//core/lowering" - ] + select({ - ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], - "//conditions:default": ["@libtorch//:libtorch"], - }), - alwayslink = True -) - -load("@rules_pkg//:pkg.bzl", "pkg_tar") - -pkg_tar( - name = "include", - package_dir = "core/partitioning/", - srcs = [ - "SegmentedBlock.h", - "shape_analysis.h", - "PartitionInfo.h", - "partitioning.h", - ], -) - +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + +package(default_visibility = ["//visibility:public"]) + +config_setting( + name = "use_pre_cxx11_abi", + values = { + "define": "abi=pre_cxx11_abi", + }, +) + +cc_library( + name = "partitioning", + srcs = [ + "PartitionInfo.cpp", + "SegmentedBlock.cpp", + "partitioning.cpp", + "shape_analysis.cpp", + ], + hdrs = [ + "PartitionInfo.h", + "SegmentedBlock.h", + "partitioning.h", + "shape_analysis.h", + ], + deps = [ + "//core/util:prelude", + "//core/ir", + "//core/conversion", + "//core/lowering", + ] + select({ + ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], + "//conditions:default": ["@libtorch//:libtorch"], + }), + alwayslink = True, +) + +pkg_tar( + name = "include", + srcs = [ + "PartitionInfo.h", + "SegmentedBlock.h", + "partitioning.h", + "shape_analysis.h", + ], + package_dir = "core/partitioning/", +) diff --git a/core/partitioning/CMakeLists.txt b/core/partitioning/CMakeLists.txt index 6e12a833c0..15784f638e 100644 --- a/core/partitioning/CMakeLists.txt +++ b/core/partitioning/CMakeLists.txt @@ -1,7 +1,7 @@ set(lib_name "core_partitioning") add_library(${lib_name} OBJECT) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/SegmentedBlock.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/shape_analysis.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/partitioning.cpp" @@ -11,7 +11,7 @@ target_sources(${lib_name} $ ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/SegmentedBlock.h" "${CMAKE_CURRENT_SOURCE_DIR}/shape_analysis.h" "${CMAKE_CURRENT_SOURCE_DIR}/PartitionInfo.h" @@ -19,9 +19,9 @@ set(HEADER_FILES ) target_include_directories(${lib_name} PUBLIC "$") -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC - torch + torch TensorRT::nvinfer core_ir core_util diff --git a/core/partitioning/PartitionInfo.cpp b/core/partitioning/PartitionInfo.cpp index bd44b3762c..59e29a9bf1 100644 --- a/core/partitioning/PartitionInfo.cpp +++ b/core/partitioning/PartitionInfo.cpp @@ -27,4 +27,4 @@ std::ostream& operator<<(std::ostream& os, const PartitionInfo& s) { // clang-format on } // namespace partitioning } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/partitioning/PartitionInfo.h b/core/partitioning/PartitionInfo.h index 6703ecf279..dc63597912 100644 --- a/core/partitioning/PartitionInfo.h +++ b/core/partitioning/PartitionInfo.h @@ -19,4 +19,4 @@ std::ostream& operator<<(std::ostream& os, const PartitionInfo& s); } // namespace partitioning } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/partitioning/README.md b/core/partitioning/README.md index 9fafa3e334..8bb74d8f37 100644 --- a/core/partitioning/README.md +++ b/core/partitioning/README.md @@ -1,64 +1,64 @@ -# Torch-TensorRT Partitioning - -Torch-TensorRT partitioning phase is developed to support `automatic fallback` feature in Torch-TensorRT. This phase won't run by -default until the automatic fallback feature is enabled. - -On a high level, Torch-TensorRT partitioning phase does the following: -- `Segmentation`. Go through the set of operators in order and verify if there is converter for each operator. Then, -roughly separate the graph into parts that Torch-TensorRT can support and parts Torch-TensorRT cannot. -- `Dependency Analysis`. For every to be compiled operator there is a "complete dependency graph", which means that -every input can to traced back to an input as Tensor or TensorList. Go through all segments after segmentation then - do dependency analysis to ensure that there are only Tensor/TensorList inputs and outputs for TensorRT segments. -- `Shape Analysis`. For each segments, figure out the input and outputs shapes starting from the provided input shape -from the user. Shapes can be calculated by running the graphs with JIT. -- `Conversion`. Every TensorRT segments will be converted to TensorRT engine. This part is done in compiler.cpp, but - it's still a phase in our partitioning process. -- `Stitching`. Stitch all TensorRT engines with PyTorch nodes altogether. - -Test cases for each of these components could be found [here](https://github.com/pytorch/TensorRT/tree/master/tests/core/partitioning). - -Here is the brief description of functionalities of each file: -- `PartitionInfo.h/cpp`: The automatic fallback APIs that is used for partitioning. -- `SegmentedBlock.h/cpp`: The main data structures that is used to maintain information for each segments after segmentation. -- `shape_analysis.h/cpp`: Code implementation to get the shapes for each segments by running them in JIT. -- `partitioning.h/cpp`: APIs and main code implementation for partitioning phase. - -### Automatic Fallback -To enable automatic fallback feature, you can set following attributes in Python: -```python - import torch - import torch_tensorrt as torchtrt - - ... - model = MyModel() - ts_model = torch.jit.script(model) - trt_model = torchtrt.ts.compile(model, **{ - ... - "min_block_size" : 3, - "torch_executed_ops": ["aten::add"], - "torch_executed_modules": [], - }) -``` -- `enabled`: By default automatic fallback will be off. It is enabled by setting it to True. -- `min_block_size`: The minimum number of consecutive operations that must satisfy to be converted to TensorRT. For -example, if it's set to 3, then there must be 3 consecutive supported operators then this segments will be converted. -- `forced_fallback_ops`: A list of strings that will be the names of operations that the user explicitly want to be in -PyTorch nodes. - -To enable automatic fallback feature in C++, following APIs could be uses: - -```c++ -#include "torch/script.h" -#include "torch_tensorrt/torch_tensorrt.h" - -... -auto in = torch::randn({1, 3, 224, 224}, {torch::kCUDA}); - -auto mod = torch::jit::load("trt_ts_module.ts"); -auto input_sizes = std::vector{{in.sizes()}}; -torchtrt::ts::CompileSpec cfg(input_sizes); -cfg.min_block_size = 2; -cfg.torch_executed_ops.push_back("aten::relu"); -auto trt_mod = torchtrt::ts::compile(mod, cfg); -auto out = trt_mod.forward({in}); -``` +# Torch-TensorRT Partitioning + +Torch-TensorRT partitioning phase is developed to support `automatic fallback` feature in Torch-TensorRT. This phase won't run by +default until the automatic fallback feature is enabled. + +On a high level, Torch-TensorRT partitioning phase does the following: +- `Segmentation`. Go through the set of operators in order and verify if there is converter for each operator. Then, +roughly separate the graph into parts that Torch-TensorRT can support and parts Torch-TensorRT cannot. +- `Dependency Analysis`. For every to be compiled operator there is a "complete dependency graph", which means that +every input can to traced back to an input as Tensor or TensorList. Go through all segments after segmentation then + do dependency analysis to ensure that there are only Tensor/TensorList inputs and outputs for TensorRT segments. +- `Shape Analysis`. For each segments, figure out the input and outputs shapes starting from the provided input shape +from the user. Shapes can be calculated by running the graphs with JIT. +- `Conversion`. Every TensorRT segments will be converted to TensorRT engine. This part is done in compiler.cpp, but + it's still a phase in our partitioning process. +- `Stitching`. Stitch all TensorRT engines with PyTorch nodes altogether. + +Test cases for each of these components could be found [here](https://github.com/pytorch/TensorRT/tree/master/tests/core/partitioning). + +Here is the brief description of functionalities of each file: +- `PartitionInfo.h/cpp`: The automatic fallback APIs that is used for partitioning. +- `SegmentedBlock.h/cpp`: The main data structures that is used to maintain information for each segments after segmentation. +- `shape_analysis.h/cpp`: Code implementation to get the shapes for each segments by running them in JIT. +- `partitioning.h/cpp`: APIs and main code implementation for partitioning phase. + +### Automatic Fallback +To enable automatic fallback feature, you can set following attributes in Python: +```python + import torch + import torch_tensorrt as torchtrt + + ... + model = MyModel() + ts_model = torch.jit.script(model) + trt_model = torchtrt.ts.compile(model, **{ + ... + "min_block_size" : 3, + "torch_executed_ops": ["aten::add"], + "torch_executed_modules": [], + }) +``` +- `enabled`: By default automatic fallback will be off. It is enabled by setting it to True. +- `min_block_size`: The minimum number of consecutive operations that must satisfy to be converted to TensorRT. For +example, if it's set to 3, then there must be 3 consecutive supported operators then this segments will be converted. +- `forced_fallback_ops`: A list of strings that will be the names of operations that the user explicitly want to be in +PyTorch nodes. + +To enable automatic fallback feature in C++, following APIs could be uses: + +```c++ +#include "torch/script.h" +#include "torch_tensorrt/torch_tensorrt.h" + +... +auto in = torch::randn({1, 3, 224, 224}, {torch::kCUDA}); + +auto mod = torch::jit::load("trt_ts_module.ts"); +auto input_sizes = std::vector{{in.sizes()}}; +torchtrt::ts::CompileSpec cfg(input_sizes); +cfg.min_block_size = 2; +cfg.torch_executed_ops.push_back("aten::relu"); +auto trt_mod = torchtrt::ts::compile(mod, cfg); +auto out = trt_mod.forward({in}); +``` diff --git a/core/partitioning/SegmentedBlock.cpp b/core/partitioning/SegmentedBlock.cpp index 6bc2bb5219..6a370c83ad 100644 --- a/core/partitioning/SegmentedBlock.cpp +++ b/core/partitioning/SegmentedBlock.cpp @@ -1,87 +1,87 @@ -#include "SegmentedBlock.h" - -namespace torch_tensorrt { -namespace core { -namespace partitioning { - -SegmentedBlock::SegmentedBlock(BlockID id, SegmentedBlockTarget blk_target, const std::vector& nodes) - : id_(id), target_(blk_target), g_(std::make_shared()) { - for (auto& node : nodes) { - nodes_.push_back(node); - appendNode(node); - } -} - -SegmentedBlock::SegmentedBlock(SegmentedBlockTarget blk_target, const std::vector& nodes) - : target_(blk_target), g_(std::make_shared()) { - for (auto& node : nodes) { - nodes_.push_back(node); - appendNode(node); - } -} - -void SegmentedBlock::registerOutput(torch::jit::Value* raw_output) { - outputs_.push_back(raw_output); - g_->registerOutput(old_to_new_[raw_output]); -} - -void SegmentedBlock::eraseInput(size_t i) { - inputs_.erase(inputs_.begin() + i); - g_->eraseInput(i); -} - -void SegmentedBlock::eraseOutput(size_t i) { - outputs_.erase(outputs_.begin() + i); - g_->eraseOutput(i); -} - -torch::jit::Value* SegmentedBlock::getOrAddInputForValue(torch::jit::Value* old_value) { - if (old_to_new_.count(old_value) == 0) { - auto node = old_value->node(); - - if (node->kind() == torch::jit::prim::Constant) { - auto new_const = g_->createClone(node, {nullptr}); - g_->block()->prependNode(new_const); - old_to_new_[old_value] = new_const->output(); - return new_const->output(); - } - auto new_value = g_->block()->addInput(); - // every time when we addInput, we push back the corresponding lowering graph torch::jit::Value to our raw_inputs - inputs_.push_back(old_value); - old_to_new_[old_value] = new_value; - new_value->copyMetadata(old_value); - return new_value; - } else { - return old_to_new_[old_value]; - } -} - -torch::jit::Node* SegmentedBlock::cloneNode(torch::jit::Node* node) { - auto* block = g_->block(); - auto env = [&](torch::jit::Value* v) { return getOrAddInputForValue(v); }; - - // create node for current graph by using the metadata in node and input Values in env - auto new_node = block->appendNode(g_->createClone(node, env)); - for (size_t i = 0; i < node->outputs().size(); ++i) { - auto oo = node->outputs()[i]; - auto no = new_node->outputs()[i]; - old_to_new_[oo] = no; - } - return new_node; -} - -std::ostream& operator<<(std::ostream& os, const SegmentedBlock& b) { - os << "Segment Block @" << b.id_ << ":" << std::endl; - os << " Target: " << b.target_ << std::endl; - os << " Graph: " << *b.g_ << std::endl; - return os; -} - -std::ostream& operator<<(std::ostream& os, const SegmentedBlock::SegmentedBlockTarget& t) { - os << SegmentedBlock::target_to_str(t) << std::endl; - return os; -} - -} // namespace partitioning -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "SegmentedBlock.h" + +namespace torch_tensorrt { +namespace core { +namespace partitioning { + +SegmentedBlock::SegmentedBlock(BlockID id, SegmentedBlockTarget blk_target, const std::vector& nodes) + : id_(id), target_(blk_target), g_(std::make_shared()) { + for (auto& node : nodes) { + nodes_.push_back(node); + appendNode(node); + } +} + +SegmentedBlock::SegmentedBlock(SegmentedBlockTarget blk_target, const std::vector& nodes) + : target_(blk_target), g_(std::make_shared()) { + for (auto& node : nodes) { + nodes_.push_back(node); + appendNode(node); + } +} + +void SegmentedBlock::registerOutput(torch::jit::Value* raw_output) { + outputs_.push_back(raw_output); + g_->registerOutput(old_to_new_[raw_output]); +} + +void SegmentedBlock::eraseInput(size_t i) { + inputs_.erase(inputs_.begin() + i); + g_->eraseInput(i); +} + +void SegmentedBlock::eraseOutput(size_t i) { + outputs_.erase(outputs_.begin() + i); + g_->eraseOutput(i); +} + +torch::jit::Value* SegmentedBlock::getOrAddInputForValue(torch::jit::Value* old_value) { + if (old_to_new_.count(old_value) == 0) { + auto node = old_value->node(); + + if (node->kind() == torch::jit::prim::Constant) { + auto new_const = g_->createClone(node, {nullptr}); + g_->block()->prependNode(new_const); + old_to_new_[old_value] = new_const->output(); + return new_const->output(); + } + auto new_value = g_->block()->addInput(); + // every time when we addInput, we push back the corresponding lowering graph torch::jit::Value to our raw_inputs + inputs_.push_back(old_value); + old_to_new_[old_value] = new_value; + new_value->copyMetadata(old_value); + return new_value; + } else { + return old_to_new_[old_value]; + } +} + +torch::jit::Node* SegmentedBlock::cloneNode(torch::jit::Node* node) { + auto* block = g_->block(); + auto env = [&](torch::jit::Value* v) { return getOrAddInputForValue(v); }; + + // create node for current graph by using the metadata in node and input Values in env + auto new_node = block->appendNode(g_->createClone(node, env)); + for (size_t i = 0; i < node->outputs().size(); ++i) { + auto oo = node->outputs()[i]; + auto no = new_node->outputs()[i]; + old_to_new_[oo] = no; + } + return new_node; +} + +std::ostream& operator<<(std::ostream& os, const SegmentedBlock& b) { + os << "Segment Block @" << b.id_ << ":" << std::endl; + os << " Target: " << b.target_ << std::endl; + os << " Graph: " << *b.g_ << std::endl; + return os; +} + +std::ostream& operator<<(std::ostream& os, const SegmentedBlock::SegmentedBlockTarget& t) { + os << SegmentedBlock::target_to_str(t) << std::endl; + return os; +} + +} // namespace partitioning +} // namespace core +} // namespace torch_tensorrt diff --git a/core/partitioning/partitioning.h b/core/partitioning/partitioning.h index df64f582a4..f1eb38df8a 100644 --- a/core/partitioning/partitioning.h +++ b/core/partitioning/partitioning.h @@ -1,48 +1,48 @@ -#pragma once - -#include -#include - -#include "core/ir/ir.h" -#include "core/partitioning/PartitionInfo.h" -#include "core/partitioning/SegmentedBlock.h" -#include "core/partitioning/shape_analysis.h" -#include "core/util/prelude.h" -#include "torch/csrc/jit/ir/ir.h" - -namespace torch_tensorrt { -namespace core { -namespace partitioning { - -typedef std::vector PartitionedGraph; - -enum FallbackNodeType { - /// Node is not supported by TensorRT - kUNSUPPORTED, - /// Node is explicitly forced to fallback to Pytorch due to operator fallback - kOPERATOR_FALLBACK, - /// Node is explicitly forced to fallback to Pytorch due to module fallback - kMODULE_FALLBACK, - /// This node is in a TRT segment which does not satisfy min_block_size - /// and hence is forced to fallback. - kMIN_BLOCK_FALLBACK, - /// This node produces/consumes non-tensor inputs - kNON_TENSOR, -}; - -PartitionedGraph segment_graph( - torch::jit::Block* block, - const PartitionInfo& partition_info, - std::unordered_map& fallback_nodes); - -PartitionedGraph Partition( - torch::jit::Block* block, - std::unordered_map& example_tensor_map, - const PartitionInfo& partition_info, - std::unordered_map& fallback_nodes); - -std::ostream& operator<<(std::ostream& os, const PartitionedGraph& g); - -} // namespace partitioning -} // namespace core -} // namespace torch_tensorrt +#pragma once + +#include +#include + +#include "core/ir/ir.h" +#include "core/partitioning/PartitionInfo.h" +#include "core/partitioning/SegmentedBlock.h" +#include "core/partitioning/shape_analysis.h" +#include "core/util/prelude.h" +#include "torch/csrc/jit/ir/ir.h" + +namespace torch_tensorrt { +namespace core { +namespace partitioning { + +typedef std::vector PartitionedGraph; + +enum FallbackNodeType { + /// Node is not supported by TensorRT + kUNSUPPORTED, + /// Node is explicitly forced to fallback to Pytorch due to operator fallback + kOPERATOR_FALLBACK, + /// Node is explicitly forced to fallback to Pytorch due to module fallback + kMODULE_FALLBACK, + /// This node is in a TRT segment which does not satisfy min_block_size + /// and hence is forced to fallback. + kMIN_BLOCK_FALLBACK, + /// This node produces/consumes non-tensor inputs + kNON_TENSOR, +}; + +PartitionedGraph segment_graph( + torch::jit::Block* block, + const PartitionInfo& partition_info, + std::unordered_map& fallback_nodes); + +PartitionedGraph Partition( + torch::jit::Block* block, + std::unordered_map& example_tensor_map, + const PartitionInfo& partition_info, + std::unordered_map& fallback_nodes); + +std::ostream& operator<<(std::ostream& os, const PartitionedGraph& g); + +} // namespace partitioning +} // namespace core +} // namespace torch_tensorrt diff --git a/core/partitioning/shape_analysis.cpp b/core/partitioning/shape_analysis.cpp index 192fc10555..7a36529949 100644 --- a/core/partitioning/shape_analysis.cpp +++ b/core/partitioning/shape_analysis.cpp @@ -1,197 +1,197 @@ -#include "core/partitioning/shape_analysis.h" -#include -#include "core/util/prelude.h" -#include "torch/csrc/jit/api/module.h" -#include "torch/csrc/jit/passes/constant_pooling.h" - -namespace torch_tensorrt { -namespace core { -namespace partitioning { - -at::Tensor generateSingleInput(ir::Input& input, c10::optional& type_opt) { - auto cur_shape = input.input_shape; - std::vector shape; - shape.insert(shape.begin(), std::begin(cur_shape.d), std::begin(cur_shape.d) + cur_shape.nbDims); - // auto type_opt = types[input.first][i]; - auto type = at::kFloat; - if (type_opt) { - type = type_opt.value(); - } else { - LOG_WARNING("Input type for doing shape analysis could not be determined, defaulting to F32"); - } - auto in = at::randint(5, shape, {at::kCUDA}).to(type); - // ivalue_map[input.first] = in.clone(); - return in; -} - -std::unordered_map generateRandomInputs( - std::unordered_map>& inputs, - std::unordered_map>>& types) { - // generate random inputs for running pytorch segments - std::unordered_map ivalue_map; - - for (auto& input : inputs) { - if (input.first->type()->kind() == torch::jit::TypeKind::ListType) { - // create list - std::vector list; - c10::TypePtr elementType = c10::TensorType::get(); - auto generic_list = c10::impl::GenericList(elementType); - for (size_t i = 0; i < input.second.size(); i++) { - auto in = generateSingleInput(input.second[i], types[input.first][i]); - generic_list.push_back(in.clone()); - } - ivalue_map[input.first] = c10::IValue(generic_list); - } else if (input.first->type()->kind() == torch::jit::TypeKind::TupleType) { - // create tuple - std::vector list; - for (size_t i = 0; i < input.second.size(); i++) { - auto in = generateSingleInput(input.second[i], types[input.first][i]); - list.push_back(in.clone()); - } - auto tuple = c10::ivalue::Tuple::create(list); // create tuple ptr - ivalue_map[input.first] = c10::IValue(tuple); - } else { - auto in = generateSingleInput(input.second[0], types[input.first][0]); - ivalue_map[input.first] = in.clone(); - } - } - return ivalue_map; -} - -void getSegmentsOutputByRunning( - SegmentedBlock& seg_block, - std::unordered_map& ivalues_maps, - const PartitionInfo& partition_info) { - // create a module to run the graph - auto g = seg_block.g(); - auto copy_g = g->copy(); - - // create tuple for multiple outputs - if (seg_block.raw_outputs().size() > 1) { - auto new_output_node = copy_g->appendNode(copy_g->createTuple(copy_g->outputs())); - for (int idx = copy_g->outputs().size() - 1; idx >= 0; --idx) { - copy_g->eraseOutput(idx); - } - - copy_g->registerOutput(new_output_node->outputs()[0]); - } - - torch::jit::script::Module cur_mod(c10::QualifiedName("module")); - - auto self = copy_g->insertInput(0, "self_1"); - self->setType(cur_mod.type()); - - auto cur_method = cur_mod._ivalue()->compilation_unit()->create_function(c10::QualifiedName("forward"), copy_g); - auto schema = util::GenerateGraphSchema(cur_method->name(), copy_g); - cur_mod.type()->addMethod(cur_method); - cur_method->setSchema(schema); - - std::vector jit_inputs_ivalues; - - // set inputs ivalues, now supports Tensor/Int to pass argumentes between different segments - for (auto& input : seg_block.raw_inputs()) { - TORCHTRT_CHECK( - ivalues_maps.count(input), - "Could not find torch::jit::Value* " << input->debugName() << " produced from " - << util::node_info(input->node()) - << " in lowering graph for mini graph input.\n"); - if (input->node()->kind() == torch::jit::prim::Param) { - jit_inputs_ivalues.push_back(ivalues_maps[input]); - } else if (input->type()->isSubtypeOf(torch::jit::TensorType::get())) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toTensor()); - } else if (input->type()->isSubtypeOf(torch::jit::IntType::get())) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toInt()); - } else if (input->type()->isSubtypeOf(torch::jit::BoolType::get())) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toBool()); - } else if (input->type()->kind() == torch::jit::TypeKind::ListType) { - // create list - jit_inputs_ivalues.push_back(ivalues_maps[input].toList()); - ; - } else if (input->type()->kind() == torch::jit::TypeKind::TupleType) { - // create tuple - jit_inputs_ivalues.push_back(ivalues_maps[input].toTuple()); - } else if (input->type()->kind() == torch::jit::TypeKind::NumberType) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toScalar()); - } else if (input->type()->kind() == torch::jit::TypeKind::DictType) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toGenericDict()); - } else if (input->type()->kind() == torch::jit::TypeKind::DeviceObjType) { - jit_inputs_ivalues.push_back(ivalues_maps[input].toDevice()); - } else { - TORCHTRT_THROW_ERROR( - "Expected to find type " << input->type()->str() << " for value " << input->debugName() - << " but get nothing. "); - } - } - - // run segments to get outputs for later segments input shape, and other arguments such as Int - std::vector jit_results; - torch::jit::IValue jit_results_ivalues = cur_mod.forward(jit_inputs_ivalues); - - if (jit_results_ivalues.isTuple()) { - auto results = jit_results_ivalues.toTuple()->elements(); - for (auto r : results) { - jit_results.push_back(r); - } - } else { - jit_results.push_back(jit_results_ivalues); - } - - size_t idx = 0; - for (auto& output : seg_block.raw_outputs()) { - ivalues_maps[output] = jit_results[idx++]; - } - - // set input shape for each segmented block so we wil use it in conversion process - std::vector input_shapes; - std::vector input_types; - for (auto& i : seg_block.raw_inputs()) { - if (ivalues_maps[i].isTensor()) { - // set the input_shape and data_type - // we can use a temp value here instead of replacing the values in ivalues_map since we only use ivalues_map for - // shape inference - auto cur_ivalue = ivalues_maps[i]; - at::ScalarType t = cur_ivalue.toTensor().scalar_type(); - if (!partition_info.truncate_long_and_double && (t == at::kLong || t == at::kDouble)) { - TORCHTRT_THROW_ERROR( - "Unable to process subgraph input type of at::kLong/at::kDouble, try to compile model with truncate_long_and_double enabled"); - } else if (partition_info.truncate_long_and_double && t == at::kLong) { - cur_ivalue = cur_ivalue.toTensor().to(at::kInt); - LOG_WARNING("Truncating graph input type from at::kLong to at::kInt"); - } else if (partition_info.truncate_long_and_double && t == at::kDouble) { - cur_ivalue = cur_ivalue.toTensor().to(at::kFloat); - LOG_WARNING("Truncating graph input type from at::kDouble to at::kFloat"); - } - c10::optional dtype = util::optTypeMetaToTRTDataType(cur_ivalue.toTensor().dtype()); - if (dtype == c10::nullopt) { - TORCHTRT_THROW_ERROR("Unsupported input data type " << cur_ivalue.toTensor().dtype()); - } - if (cur_ivalue.toTensor().sizes().size() == 0) { - // handle Scalar types, which has sizes of [] - input_shapes.push_back(util::toVec(util::toDims(c10::List({1})))); - } else { - input_shapes.push_back(util::toVec(util::toDims(cur_ivalue.toTensor().sizes()))); - } - input_types.push_back(cur_ivalue.toTensor().scalar_type()); - } - // TODO: tuple and list inputs in subgraph - } - - seg_block.register_inshapes(input_shapes); - seg_block.register_intypes(input_types); -} - -void runShapeAnalysis( - std::vector& segmented_blocks, - std::unordered_map& example_tensor_map, - const PartitionInfo& partition_info) { - // register every segment's input shape, and it's running output IValues - for (auto& seg_block : segmented_blocks) { - torch::jit::ConstantPooling(seg_block.g()); - getSegmentsOutputByRunning(seg_block, example_tensor_map, partition_info); - } - return; -} - -} // namespace partitioning -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#include "core/partitioning/shape_analysis.h" +#include +#include "core/util/prelude.h" +#include "torch/csrc/jit/api/module.h" +#include "torch/csrc/jit/passes/constant_pooling.h" + +namespace torch_tensorrt { +namespace core { +namespace partitioning { + +at::Tensor generateSingleInput(ir::Input& input, c10::optional& type_opt) { + auto cur_shape = input.input_shape; + std::vector shape; + shape.insert(shape.begin(), std::begin(cur_shape.d), std::begin(cur_shape.d) + cur_shape.nbDims); + // auto type_opt = types[input.first][i]; + auto type = at::kFloat; + if (type_opt) { + type = type_opt.value(); + } else { + LOG_WARNING("Input type for doing shape analysis could not be determined, defaulting to F32"); + } + auto in = at::randint(5, shape, {at::kCUDA}).to(type); + // ivalue_map[input.first] = in.clone(); + return in; +} + +std::unordered_map generateRandomInputs( + std::unordered_map>& inputs, + std::unordered_map>>& types) { + // generate random inputs for running pytorch segments + std::unordered_map ivalue_map; + + for (auto& input : inputs) { + if (input.first->type()->kind() == torch::jit::TypeKind::ListType) { + // create list + std::vector list; + c10::TypePtr elementType = c10::TensorType::get(); + auto generic_list = c10::impl::GenericList(elementType); + for (size_t i = 0; i < input.second.size(); i++) { + auto in = generateSingleInput(input.second[i], types[input.first][i]); + generic_list.push_back(in.clone()); + } + ivalue_map[input.first] = c10::IValue(generic_list); + } else if (input.first->type()->kind() == torch::jit::TypeKind::TupleType) { + // create tuple + std::vector list; + for (size_t i = 0; i < input.second.size(); i++) { + auto in = generateSingleInput(input.second[i], types[input.first][i]); + list.push_back(in.clone()); + } + auto tuple = c10::ivalue::Tuple::create(list); // create tuple ptr + ivalue_map[input.first] = c10::IValue(tuple); + } else { + auto in = generateSingleInput(input.second[0], types[input.first][0]); + ivalue_map[input.first] = in.clone(); + } + } + return ivalue_map; +} + +void getSegmentsOutputByRunning( + SegmentedBlock& seg_block, + std::unordered_map& ivalues_maps, + const PartitionInfo& partition_info) { + // create a module to run the graph + auto g = seg_block.g(); + auto copy_g = g->copy(); + + // create tuple for multiple outputs + if (seg_block.raw_outputs().size() > 1) { + auto new_output_node = copy_g->appendNode(copy_g->createTuple(copy_g->outputs())); + for (int idx = copy_g->outputs().size() - 1; idx >= 0; --idx) { + copy_g->eraseOutput(idx); + } + + copy_g->registerOutput(new_output_node->outputs()[0]); + } + + torch::jit::script::Module cur_mod(c10::QualifiedName("module")); + + auto self = copy_g->insertInput(0, "self_1"); + self->setType(cur_mod.type()); + + auto cur_method = cur_mod._ivalue()->compilation_unit()->create_function(c10::QualifiedName("forward"), copy_g); + auto schema = util::GenerateGraphSchema(cur_method->name(), copy_g); + cur_mod.type()->addMethod(cur_method); + cur_method->setSchema(schema); + + std::vector jit_inputs_ivalues; + + // set inputs ivalues, now supports Tensor/Int to pass argumentes between different segments + for (auto& input : seg_block.raw_inputs()) { + TORCHTRT_CHECK( + ivalues_maps.count(input), + "Could not find torch::jit::Value* " << input->debugName() << " produced from " + << util::node_info(input->node()) + << " in lowering graph for mini graph input.\n"); + if (input->node()->kind() == torch::jit::prim::Param) { + jit_inputs_ivalues.push_back(ivalues_maps[input]); + } else if (input->type()->isSubtypeOf(torch::jit::TensorType::get())) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toTensor()); + } else if (input->type()->isSubtypeOf(torch::jit::IntType::get())) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toInt()); + } else if (input->type()->isSubtypeOf(torch::jit::BoolType::get())) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toBool()); + } else if (input->type()->kind() == torch::jit::TypeKind::ListType) { + // create list + jit_inputs_ivalues.push_back(ivalues_maps[input].toList()); + ; + } else if (input->type()->kind() == torch::jit::TypeKind::TupleType) { + // create tuple + jit_inputs_ivalues.push_back(ivalues_maps[input].toTuple()); + } else if (input->type()->kind() == torch::jit::TypeKind::NumberType) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toScalar()); + } else if (input->type()->kind() == torch::jit::TypeKind::DictType) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toGenericDict()); + } else if (input->type()->kind() == torch::jit::TypeKind::DeviceObjType) { + jit_inputs_ivalues.push_back(ivalues_maps[input].toDevice()); + } else { + TORCHTRT_THROW_ERROR( + "Expected to find type " << input->type()->str() << " for value " << input->debugName() + << " but get nothing. "); + } + } + + // run segments to get outputs for later segments input shape, and other arguments such as Int + std::vector jit_results; + torch::jit::IValue jit_results_ivalues = cur_mod.forward(jit_inputs_ivalues); + + if (jit_results_ivalues.isTuple()) { + auto results = jit_results_ivalues.toTuple()->elements(); + for (auto r : results) { + jit_results.push_back(r); + } + } else { + jit_results.push_back(jit_results_ivalues); + } + + size_t idx = 0; + for (auto& output : seg_block.raw_outputs()) { + ivalues_maps[output] = jit_results[idx++]; + } + + // set input shape for each segmented block so we wil use it in conversion process + std::vector input_shapes; + std::vector input_types; + for (auto& i : seg_block.raw_inputs()) { + if (ivalues_maps[i].isTensor()) { + // set the input_shape and data_type + // we can use a temp value here instead of replacing the values in ivalues_map since we only use ivalues_map for + // shape inference + auto cur_ivalue = ivalues_maps[i]; + at::ScalarType t = cur_ivalue.toTensor().scalar_type(); + if (!partition_info.truncate_long_and_double && (t == at::kLong || t == at::kDouble)) { + TORCHTRT_THROW_ERROR( + "Unable to process subgraph input type of at::kLong/at::kDouble, try to compile model with truncate_long_and_double enabled"); + } else if (partition_info.truncate_long_and_double && t == at::kLong) { + cur_ivalue = cur_ivalue.toTensor().to(at::kInt); + LOG_WARNING("Truncating graph input type from at::kLong to at::kInt"); + } else if (partition_info.truncate_long_and_double && t == at::kDouble) { + cur_ivalue = cur_ivalue.toTensor().to(at::kFloat); + LOG_WARNING("Truncating graph input type from at::kDouble to at::kFloat"); + } + c10::optional dtype = util::optTypeMetaToTRTDataType(cur_ivalue.toTensor().dtype()); + if (dtype == c10::nullopt) { + TORCHTRT_THROW_ERROR("Unsupported input data type " << cur_ivalue.toTensor().dtype()); + } + if (cur_ivalue.toTensor().sizes().size() == 0) { + // handle Scalar types, which has sizes of [] + input_shapes.push_back(util::toVec(util::toDims(c10::List({1})))); + } else { + input_shapes.push_back(util::toVec(util::toDims(cur_ivalue.toTensor().sizes()))); + } + input_types.push_back(cur_ivalue.toTensor().scalar_type()); + } + // TODO: tuple and list inputs in subgraph + } + + seg_block.register_inshapes(input_shapes); + seg_block.register_intypes(input_types); +} + +void runShapeAnalysis( + std::vector& segmented_blocks, + std::unordered_map& example_tensor_map, + const PartitionInfo& partition_info) { + // register every segment's input shape, and it's running output IValues + for (auto& seg_block : segmented_blocks) { + torch::jit::ConstantPooling(seg_block.g()); + getSegmentsOutputByRunning(seg_block, example_tensor_map, partition_info); + } + return; +} + +} // namespace partitioning +} // namespace core +} // namespace torch_tensorrt diff --git a/core/partitioning/shape_analysis.h b/core/partitioning/shape_analysis.h index e9c51fc62d..780449d514 100644 --- a/core/partitioning/shape_analysis.h +++ b/core/partitioning/shape_analysis.h @@ -1,20 +1,20 @@ -#include "core/ir/ir.h" -#include "core/partitioning/SegmentedBlock.h" -#include "torch/csrc/jit/ir/ir.h" - -namespace torch_tensorrt { -namespace core { -namespace partitioning { - -std::unordered_map generateRandomInputs( - std::unordered_map>& input_ranges, - std::unordered_map>>& input_types); - -void runShapeAnalysis( - std::vector& segmented_blocks, - std::unordered_map& ivalues_maps, - const PartitionInfo& partition_info); - -} // namespace partitioning -} // namespace core -} // namespace torch_tensorrt +#include "core/ir/ir.h" +#include "core/partitioning/SegmentedBlock.h" +#include "torch/csrc/jit/ir/ir.h" + +namespace torch_tensorrt { +namespace core { +namespace partitioning { + +std::unordered_map generateRandomInputs( + std::unordered_map>& input_ranges, + std::unordered_map>>& input_types); + +void runShapeAnalysis( + std::vector& segmented_blocks, + std::unordered_map& ivalues_maps, + const PartitionInfo& partition_info); + +} // namespace partitioning +} // namespace core +} // namespace torch_tensorrt diff --git a/core/plugins/BUILD b/core/plugins/BUILD index 5a96280e89..b720a683cb 100644 --- a/core/plugins/BUILD +++ b/core/plugins/BUILD @@ -1,53 +1,55 @@ -package(default_visibility = ["//visibility:public"]) - -config_setting( - name = "use_pre_cxx11_abi", - values = { - "define": "abi=pre_cxx11_abi", - } -) - -cc_library( - name = "torch_tensorrt_plugins", - hdrs = [ - "impl/interpolate_plugin.h", - "impl/normalize_plugin.h", - "plugins.h", - - ], - srcs = [ - "impl/interpolate_plugin.cpp", - "impl/normalize_plugin.cpp", - "register_plugins.cpp", - ], - deps = [ - "@tensorrt//:nvinfer", - "@tensorrt//:nvinferplugin", - "//core/util:prelude", - ] + select({ - ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], - "//conditions:default": ["@libtorch//:libtorch"], - }), - alwayslink = True, - copts = [ - "-pthread" - ], - linkopts = [ - "-lpthread", - ] -) - -load("@rules_pkg//:pkg.bzl", "pkg_tar") - -pkg_tar( - name = "include", - package_dir = "core/plugins/", - srcs = ["plugins.h"], -) - -pkg_tar( - name = "impl_include", - package_dir = "core/plugins/impl", - srcs = ["impl/interpolate_plugin.h", - "impl/normalize_plugin.h"], -) \ No newline at end of file +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + +package(default_visibility = ["//visibility:public"]) + +config_setting( + name = "use_pre_cxx11_abi", + values = { + "define": "abi=pre_cxx11_abi", + }, +) + +cc_library( + name = "torch_tensorrt_plugins", + srcs = [ + "impl/interpolate_plugin.cpp", + "impl/normalize_plugin.cpp", + "register_plugins.cpp", + ], + hdrs = [ + "impl/interpolate_plugin.h", + "impl/normalize_plugin.h", + "plugins.h", + ], + copts = [ + "-pthread", + ], + linkopts = [ + "-lpthread", + ], + deps = [ + "@tensorrt//:nvinfer", + "@tensorrt//:nvinferplugin", + "//core/util:prelude", + ] + select({ + ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], + "//conditions:default": ["@libtorch//:libtorch"], + }), + alwayslink = True, +) + +pkg_tar( + name = "include", + srcs = ["plugins.h"], + package_dir = "core/plugins/", +) + +pkg_tar( + name = "impl_include", + srcs = [ + "impl/interpolate_plugin.h", + "impl/normalize_plugin.h", + ], + package_dir = "core/plugins/impl", +) diff --git a/core/plugins/CMakeLists.txt b/core/plugins/CMakeLists.txt index 1f537ec306..90b039c94a 100644 --- a/core/plugins/CMakeLists.txt +++ b/core/plugins/CMakeLists.txt @@ -1,27 +1,27 @@ set(lib_name "core_plugins") add_library(${lib_name} OBJECT) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/impl/interpolate_plugin.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/impl/normalize_plugin.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/register_plugins.cpp" PUBLIC $ ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/plugins.h" ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PUBLIC "$" ) -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC TensorRT::nvinfer TensorRT::nvinfer_plugin - torch + torch core_util PRIVATE Threads::Threads diff --git a/core/plugins/README.md b/core/plugins/README.md index 4899394be3..4cafc18d6b 100644 --- a/core/plugins/README.md +++ b/core/plugins/README.md @@ -1,40 +1,40 @@ -# Torch-TensorRT Plugins - -A library for plugins (custom layers) used in a network. This component of Torch-TensorRT library builds a separate library called `libtorchtrt_plugins.so`. - -On a high level, Torch-TensorRT plugin library interface does the following : - -- Uses TensorRT plugin registry as the main data structure to access all plugins. - -- Automatically registers TensorRT plugins with empty namepsace. - -- Automatically registers Torch-TensorRT plugins with `"torch_tensorrt"` namespace. - -Here is the brief description of functionalities of each file - -- `plugins.h` - Provides a macro to register any plugins with `"torch_tensorrt"` namespace. -- `register_plugins.cpp` - Main registry class which initializes both `libnvinfer` plugins and Torch-TensorRT plugins (`Interpolate` and `Normalize`) -- `impl/interpolate_plugin.cpp` - Core implementation of interpolate plugin. Uses pytorch kernels during execution. -- `impl/normalize_plugin.cpp` - Core implementation of normalize plugin. Uses pytorch kernels during execution. - -### Converter for the plugin -A converter basically converts a pytorch layer in the torchscript graph into a TensorRT layer (in this case a plugin layer). -We can access a plugin via the plugin name and namespace in which it is registered. -For example, to access the Interpolate plugin, we can use -``` -auto creator = getPluginRegistry()->getPluginCreator("Interpolate", "1", "torch_tensorrt"); -auto interpolate_plugin = creator->createPlugin(name, &fc); // fc is the collection of parameters passed to the plugin. -``` - -### If you have your own plugin - -If you'd like to compile your plugin with Torch-TensorRT, - -- Add your implementation to the `impl` directory -- Add a call `REGISTER_TORCHTRT_PLUGIN(MyPluginCreator)` to `register_plugins.cpp`. `MyPluginCreator` is the plugin creator class which creates your plugin. By adding this to `register_plugins.cpp`, your plugin will be initialized and accessible (added to TensorRT plugin registry) during the `libtorchtrt_plugins.so` library loading. -- Update the `BUILD` file with the your plugin files and dependencies. -- Implement a converter op which makes use of your plugin. - -Once you've completed the above steps, upon successful compilation of Torch-TensorRT library, your plugin should be available in `libtorchtrt_plugins.so`. - -A sample runtime application on how to run a network with plugins can be found here +# Torch-TensorRT Plugins + +A library for plugins (custom layers) used in a network. This component of Torch-TensorRT library builds a separate library called `libtorchtrt_plugins.so`. + +On a high level, Torch-TensorRT plugin library interface does the following : + +- Uses TensorRT plugin registry as the main data structure to access all plugins. + +- Automatically registers TensorRT plugins with empty namepsace. + +- Automatically registers Torch-TensorRT plugins with `"torch_tensorrt"` namespace. + +Here is the brief description of functionalities of each file + +- `plugins.h` - Provides a macro to register any plugins with `"torch_tensorrt"` namespace. +- `register_plugins.cpp` - Main registry class which initializes both `libnvinfer` plugins and Torch-TensorRT plugins (`Interpolate` and `Normalize`) +- `impl/interpolate_plugin.cpp` - Core implementation of interpolate plugin. Uses pytorch kernels during execution. +- `impl/normalize_plugin.cpp` - Core implementation of normalize plugin. Uses pytorch kernels during execution. + +### Converter for the plugin +A converter basically converts a pytorch layer in the torchscript graph into a TensorRT layer (in this case a plugin layer). +We can access a plugin via the plugin name and namespace in which it is registered. +For example, to access the Interpolate plugin, we can use +``` +auto creator = getPluginRegistry()->getPluginCreator("Interpolate", "1", "torch_tensorrt"); +auto interpolate_plugin = creator->createPlugin(name, &fc); // fc is the collection of parameters passed to the plugin. +``` + +### If you have your own plugin + +If you'd like to compile your plugin with Torch-TensorRT, + +- Add your implementation to the `impl` directory +- Add a call `REGISTER_TORCHTRT_PLUGIN(MyPluginCreator)` to `register_plugins.cpp`. `MyPluginCreator` is the plugin creator class which creates your plugin. By adding this to `register_plugins.cpp`, your plugin will be initialized and accessible (added to TensorRT plugin registry) during the `libtorchtrt_plugins.so` library loading. +- Update the `BUILD` file with the your plugin files and dependencies. +- Implement a converter op which makes use of your plugin. + +Once you've completed the above steps, upon successful compilation of Torch-TensorRT library, your plugin should be available in `libtorchtrt_plugins.so`. + +A sample runtime application on how to run a network with plugins can be found here diff --git a/core/plugins/impl/interpolate_plugin.h b/core/plugins/impl/interpolate_plugin.h index 13eac3c581..ced4cbee20 100644 --- a/core/plugins/impl/interpolate_plugin.h +++ b/core/plugins/impl/interpolate_plugin.h @@ -68,8 +68,8 @@ class InterpolatePlugin : public nvinfer1::IPluginV2DynamicExt { int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept override; - nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const - noexcept override; + nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) + const noexcept override; int initialize() noexcept override; @@ -83,11 +83,8 @@ class InterpolatePlugin : public nvinfer1::IPluginV2DynamicExt { void destroy() noexcept override {} - bool supportsFormatCombination( - int pos, - const nvinfer1::PluginTensorDesc* inOut, - int nbInputs, - int nbOutputs) noexcept override; + bool supportsFormatCombination(int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) noexcept + override; void configurePlugin( const nvinfer1::DynamicPluginTensorDesc* in, @@ -129,10 +126,8 @@ class InterpolatePluginCreator : public nvinfer1::IPluginCreator { nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) noexcept override; - nvinfer1::IPluginV2* deserializePlugin( - const char* name, - const void* serialData, - size_t serialLength) noexcept override; + nvinfer1::IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) noexcept + override; const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override; }; @@ -140,4 +135,4 @@ class InterpolatePluginCreator : public nvinfer1::IPluginCreator { } // namespace impl } // namespace plugins } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/plugins/impl/normalize_plugin.cpp b/core/plugins/impl/normalize_plugin.cpp index 52c797e5fd..a800c80db1 100644 --- a/core/plugins/impl/normalize_plugin.cpp +++ b/core/plugins/impl/normalize_plugin.cpp @@ -1,272 +1,272 @@ -#include "core/plugins/impl/normalize_plugin.h" -#include "NvInferPlugin.h" -#include "NvInferPluginUtils.h" -#include "core/plugins/plugins.h" -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace plugins { -namespace impl { - -/* - * NormalizePlugin class implementations - */ - -NormalizePlugin::NormalizePlugin(int32_t order, std::vector axes, int32_t keep_dims) - : order_(order), axes_(axes), keep_dims_(keep_dims) {} - -NormalizePlugin::NormalizePlugin(const char* data, size_t length) { - std::istringstream data_stream(std::string(data, length)); - - torch::serialize::InputArchive input_archive; - input_archive.load_from(data_stream); - { - torch::IValue value; - input_archive.read("order", value); - order_ = (int32_t)value.toInt(); - } - { - torch::IValue value; - input_archive.read("axes", value); - auto values = value.toIntVector(); - std::vector doubleVec(values.begin(), values.end()); - // axes_ = doubleVec; - axes_.assign(doubleVec.begin(), doubleVec.end()); - } - { - torch::IValue value; - input_archive.read("keep_dims", value); - keep_dims_ = (int32_t)value.toInt(); - } -} - -int NormalizePlugin::getNbOutputs() const noexcept { - return 1; -} - -const char* NormalizePlugin::getPluginType() const noexcept { - return "NormalizePlugin"; -} - -const char* NormalizePlugin::getPluginVersion() const noexcept { - return "1"; -} - -const char* NormalizePlugin::getPluginNamespace() const noexcept { - return "torch_tensorrt"; -} - -nvinfer1::IPluginV2DynamicExt* NormalizePlugin::clone() const noexcept { - return new NormalizePlugin(order_, axes_, keep_dims_); -} - -nvinfer1::DimsExprs NormalizePlugin::getOutputDimensions( - int outputIndex, - const nvinfer1::DimsExprs* inputs, - int nbInputs, - nvinfer1::IExprBuilder& exprBuilder) noexcept { - nvinfer1::DimsExprs output; - output.nbDims = keep_dims_ ? inputs[0].nbDims : inputs[0].nbDims - axes_.size(); - - // For order-0 norm, when the norm dimension is None, it should normalize across all dimensions. - // TODO: For dim=None, the axes_ passed would have [0, 0, 0] which is obtained through loop counter in Torch-TensorRT. - // Resolve this. For dim=None case, change the axes_ inplace to range(0, axes_.size()) - bool isAxisNone = std::all_of(axes_.begin(), axes_.end(), [](int32_t i) { return i == 0; }) && - ((int32_t)axes_.size() == inputs[0].nbDims); - if (isAxisNone) { - std::iota(axes_.data(), axes_.data() + axes_.size(), 0); - } - int64_t out_idx = 0; - for (int64_t i = 0; i < inputs[0].nbDims; i++) { - if (std::find(axes_.begin(), axes_.end(), i) != axes_.end()) { - if (keep_dims_) { - output.d[out_idx] = exprBuilder.constant(1); - out_idx += 1; - } - } else { - if (!isAxisNone) { - output.d[out_idx] = exprBuilder.constant(inputs[0].d[i]->getConstantValue()); - } else { - output.d[out_idx] = exprBuilder.constant(1); - } - out_idx += 1; - } - } - - return output; -} - -nvinfer1::DataType NormalizePlugin::getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) - const noexcept { - return nvinfer1::DataType::kFLOAT; -} - -int NormalizePlugin::initialize() noexcept { - return 0; -} - -void NormalizePlugin::serialize(void* buffer) const noexcept { - std::string data = serializeToString(); - size_t size = getSerializationSize(); - data.copy((char*)buffer, size); -} - -std::string NormalizePlugin::serializeToString() const noexcept { - torch::serialize::OutputArchive output_archive; - std::vector axesVec(axes_.begin(), axes_.end()); - output_archive.write("order", torch::IValue((int64_t)order_)); - output_archive.write("axes", torch::IValue(axesVec)); - output_archive.write("keep_dims", torch::IValue((int64_t)keep_dims_)); - std::ostringstream data_str; - output_archive.save_to(data_str); - - return data_str.str(); -} - -size_t NormalizePlugin::getSerializationSize() const noexcept { - return serializeToString().size(); -} - -bool NormalizePlugin::supportsFormatCombination( - int pos, - const nvinfer1::PluginTensorDesc* inOut, - int nbInputs, - int nbOutputs) noexcept { - if (pos < 0 || pos > 1) { - LOG_ERROR("There should be exactly 2 connections to the plugin - 1 input, 1 output"); - } - if (nbInputs != 1) { - LOG_ERROR("Expected a single tensor as input to normalize plugin"); - } - if (nbOutputs != 1) { - LOG_ERROR("Expected a single tensor as output to normalize plugin"); - } - - const nvinfer1::PluginTensorDesc& in = inOut[0]; - - if (pos == 0) { - return (in.type == nvinfer1::DataType::kFLOAT) && (in.format == nvinfer1::TensorFormat::kLINEAR); - } - - // pos == 1, accessing information about output tensor - const nvinfer1::PluginTensorDesc& out = inOut[1]; - - return (in.type == out.type) && (in.format == out.format); -} - -void NormalizePlugin::configurePlugin( - const nvinfer1::DynamicPluginTensorDesc* in, - int nbInputs, - const nvinfer1::DynamicPluginTensorDesc* out, - int nbOutputs) noexcept { - dtype_ = nvinfer1::DataType::kFLOAT; -} - -size_t NormalizePlugin::getWorkspaceSize( - const nvinfer1::PluginTensorDesc* inputs, - int nbInputs, - const nvinfer1::PluginTensorDesc* outputs, - int nbOutputs) const noexcept { - return 0; -} - -int NormalizePlugin::enqueue( - const nvinfer1::PluginTensorDesc* inputDesc, - const nvinfer1::PluginTensorDesc* outputDesc, - const void* const* inputs, - void* const* outputs, - void* workspace, - cudaStream_t stream) noexcept { - at::Tensor input = - at::from_blob((void*)inputs[0], util::toVec(inputDesc->dims), [](void*) {}, {at::kCUDA}).to(torch::kFloat); - at::Tensor output = - at::from_blob(outputs[0], util::toVec(outputDesc->dims), [](void*) {}, {at::kCUDA}).to(torch::kFloat); - - at::cuda::CUDAStream torch_stream = at::cuda::getStreamFromPool(); - at::cuda::CUDAStreamGuard torch_guard(torch_stream); - - cudaEvent_t event; - cudaEventCreate(&event); - cudaEventRecord(event, stream); - - cudaStreamWaitEvent(torch_stream.stream(), event, 0); - - std::vector axes_double(axes_.begin(), axes_.end()); - at::Tensor result = at::norm(input, (int64_t)order_, axes_double, (bool)keep_dims_); - output.copy_(result); - cudaEvent_t torch_event; - cudaEventCreate(&torch_event); - cudaEventRecord(torch_event, torch_stream.stream()); - - cudaStreamWaitEvent(stream, torch_event, 0); - - cudaEventDestroy(event); - cudaEventDestroy(torch_event); - return 0; -} - -/* - * NormalizePluginCreator class implementations - */ -NormalizePluginCreator::NormalizePluginCreator() { - mPluginAttributes.emplace_back(nvinfer1::PluginField("order", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); - mPluginAttributes.emplace_back(nvinfer1::PluginField("axes", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); - mPluginAttributes.emplace_back(nvinfer1::PluginField("keep_dims", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); - - mFC.nbFields = mPluginAttributes.size(); - mFC.fields = mPluginAttributes.data(); -} - -const char* NormalizePluginCreator::getPluginNamespace() const noexcept { - return "torch_tensorrt"; -} - -const char* NormalizePluginCreator::getPluginName() const noexcept { - return "NormalizePlugin"; -} - -const char* NormalizePluginCreator::getPluginVersion() const noexcept { - return "1"; -} - -nvinfer1::IPluginV2* NormalizePluginCreator::createPlugin( - const char* name, - const nvinfer1::PluginFieldCollection* fc) noexcept { - int32_t order = 0; - std::vector axes; - int32_t keep_dims = 0; - for (int i = 0; i < fc->nbFields; i++) { - std::string field_name(fc->fields[i].name); - if (field_name.compare("order") == 0) { - order = *static_cast(fc->fields[i].data); - } else if (field_name.compare("axes") == 0) { - auto axes_values = static_cast(fc->fields[i].data); - axes.assign(axes_values, axes_values + fc->fields[i].length); - } else if (field_name.compare("keep_dims") == 0) { - keep_dims = *static_cast(fc->fields[i].data); - } - } - NormalizePlugin* plugin = new NormalizePlugin(order, axes, keep_dims); - return plugin; -} - -nvinfer1::IPluginV2* NormalizePluginCreator::deserializePlugin( - const char* name, - const void* serialData, - size_t serialLength) noexcept { - name_ = name; - auto plugin = new NormalizePlugin((const char*)serialData, serialLength); - return plugin; -} - -const nvinfer1::PluginFieldCollection* NormalizePluginCreator::getFieldNames() noexcept { - return nullptr; -} - -REGISTER_TORCHTRT_PLUGIN(NormalizePluginCreator); - -} // namespace impl -} // namespace plugins -} // namespace core -} // namespace torch_tensorrt +#include "core/plugins/impl/normalize_plugin.h" +#include "NvInferPlugin.h" +#include "NvInferPluginUtils.h" +#include "core/plugins/plugins.h" +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace plugins { +namespace impl { + +/* + * NormalizePlugin class implementations + */ + +NormalizePlugin::NormalizePlugin(int32_t order, std::vector axes, int32_t keep_dims) + : order_(order), axes_(axes), keep_dims_(keep_dims) {} + +NormalizePlugin::NormalizePlugin(const char* data, size_t length) { + std::istringstream data_stream(std::string(data, length)); + + torch::serialize::InputArchive input_archive; + input_archive.load_from(data_stream); + { + torch::IValue value; + input_archive.read("order", value); + order_ = (int32_t)value.toInt(); + } + { + torch::IValue value; + input_archive.read("axes", value); + auto values = value.toIntVector(); + std::vector doubleVec(values.begin(), values.end()); + // axes_ = doubleVec; + axes_.assign(doubleVec.begin(), doubleVec.end()); + } + { + torch::IValue value; + input_archive.read("keep_dims", value); + keep_dims_ = (int32_t)value.toInt(); + } +} + +int NormalizePlugin::getNbOutputs() const noexcept { + return 1; +} + +const char* NormalizePlugin::getPluginType() const noexcept { + return "NormalizePlugin"; +} + +const char* NormalizePlugin::getPluginVersion() const noexcept { + return "1"; +} + +const char* NormalizePlugin::getPluginNamespace() const noexcept { + return "torch_tensorrt"; +} + +nvinfer1::IPluginV2DynamicExt* NormalizePlugin::clone() const noexcept { + return new NormalizePlugin(order_, axes_, keep_dims_); +} + +nvinfer1::DimsExprs NormalizePlugin::getOutputDimensions( + int outputIndex, + const nvinfer1::DimsExprs* inputs, + int nbInputs, + nvinfer1::IExprBuilder& exprBuilder) noexcept { + nvinfer1::DimsExprs output; + output.nbDims = keep_dims_ ? inputs[0].nbDims : inputs[0].nbDims - axes_.size(); + + // For order-0 norm, when the norm dimension is None, it should normalize across all dimensions. + // TODO: For dim=None, the axes_ passed would have [0, 0, 0] which is obtained through loop counter in Torch-TensorRT. + // Resolve this. For dim=None case, change the axes_ inplace to range(0, axes_.size()) + bool isAxisNone = std::all_of(axes_.begin(), axes_.end(), [](int32_t i) { return i == 0; }) && + ((int32_t)axes_.size() == inputs[0].nbDims); + if (isAxisNone) { + std::iota(axes_.data(), axes_.data() + axes_.size(), 0); + } + int64_t out_idx = 0; + for (int64_t i = 0; i < inputs[0].nbDims; i++) { + if (std::find(axes_.begin(), axes_.end(), i) != axes_.end()) { + if (keep_dims_) { + output.d[out_idx] = exprBuilder.constant(1); + out_idx += 1; + } + } else { + if (!isAxisNone) { + output.d[out_idx] = exprBuilder.constant(inputs[0].d[i]->getConstantValue()); + } else { + output.d[out_idx] = exprBuilder.constant(1); + } + out_idx += 1; + } + } + + return output; +} + +nvinfer1::DataType NormalizePlugin::getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) + const noexcept { + return nvinfer1::DataType::kFLOAT; +} + +int NormalizePlugin::initialize() noexcept { + return 0; +} + +void NormalizePlugin::serialize(void* buffer) const noexcept { + std::string data = serializeToString(); + size_t size = getSerializationSize(); + data.copy((char*)buffer, size); +} + +std::string NormalizePlugin::serializeToString() const noexcept { + torch::serialize::OutputArchive output_archive; + std::vector axesVec(axes_.begin(), axes_.end()); + output_archive.write("order", torch::IValue((int64_t)order_)); + output_archive.write("axes", torch::IValue(axesVec)); + output_archive.write("keep_dims", torch::IValue((int64_t)keep_dims_)); + std::ostringstream data_str; + output_archive.save_to(data_str); + + return data_str.str(); +} + +size_t NormalizePlugin::getSerializationSize() const noexcept { + return serializeToString().size(); +} + +bool NormalizePlugin::supportsFormatCombination( + int pos, + const nvinfer1::PluginTensorDesc* inOut, + int nbInputs, + int nbOutputs) noexcept { + if (pos < 0 || pos > 1) { + LOG_ERROR("There should be exactly 2 connections to the plugin - 1 input, 1 output"); + } + if (nbInputs != 1) { + LOG_ERROR("Expected a single tensor as input to normalize plugin"); + } + if (nbOutputs != 1) { + LOG_ERROR("Expected a single tensor as output to normalize plugin"); + } + + const nvinfer1::PluginTensorDesc& in = inOut[0]; + + if (pos == 0) { + return (in.type == nvinfer1::DataType::kFLOAT) && (in.format == nvinfer1::TensorFormat::kLINEAR); + } + + // pos == 1, accessing information about output tensor + const nvinfer1::PluginTensorDesc& out = inOut[1]; + + return (in.type == out.type) && (in.format == out.format); +} + +void NormalizePlugin::configurePlugin( + const nvinfer1::DynamicPluginTensorDesc* in, + int nbInputs, + const nvinfer1::DynamicPluginTensorDesc* out, + int nbOutputs) noexcept { + dtype_ = nvinfer1::DataType::kFLOAT; +} + +size_t NormalizePlugin::getWorkspaceSize( + const nvinfer1::PluginTensorDesc* inputs, + int nbInputs, + const nvinfer1::PluginTensorDesc* outputs, + int nbOutputs) const noexcept { + return 0; +} + +int NormalizePlugin::enqueue( + const nvinfer1::PluginTensorDesc* inputDesc, + const nvinfer1::PluginTensorDesc* outputDesc, + const void* const* inputs, + void* const* outputs, + void* workspace, + cudaStream_t stream) noexcept { + at::Tensor input = + at::from_blob((void*)inputs[0], util::toVec(inputDesc->dims), [](void*) {}, {at::kCUDA}).to(torch::kFloat); + at::Tensor output = + at::from_blob(outputs[0], util::toVec(outputDesc->dims), [](void*) {}, {at::kCUDA}).to(torch::kFloat); + + at::cuda::CUDAStream torch_stream = at::cuda::getStreamFromPool(); + at::cuda::CUDAStreamGuard torch_guard(torch_stream); + + cudaEvent_t event; + cudaEventCreate(&event); + cudaEventRecord(event, stream); + + cudaStreamWaitEvent(torch_stream.stream(), event, 0); + + std::vector axes_double(axes_.begin(), axes_.end()); + at::Tensor result = at::norm(input, (int64_t)order_, axes_double, (bool)keep_dims_); + output.copy_(result); + cudaEvent_t torch_event; + cudaEventCreate(&torch_event); + cudaEventRecord(torch_event, torch_stream.stream()); + + cudaStreamWaitEvent(stream, torch_event, 0); + + cudaEventDestroy(event); + cudaEventDestroy(torch_event); + return 0; +} + +/* + * NormalizePluginCreator class implementations + */ +NormalizePluginCreator::NormalizePluginCreator() { + mPluginAttributes.emplace_back(nvinfer1::PluginField("order", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); + mPluginAttributes.emplace_back(nvinfer1::PluginField("axes", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); + mPluginAttributes.emplace_back(nvinfer1::PluginField("keep_dims", nullptr, nvinfer1::PluginFieldType::kINT32, 1)); + + mFC.nbFields = mPluginAttributes.size(); + mFC.fields = mPluginAttributes.data(); +} + +const char* NormalizePluginCreator::getPluginNamespace() const noexcept { + return "torch_tensorrt"; +} + +const char* NormalizePluginCreator::getPluginName() const noexcept { + return "NormalizePlugin"; +} + +const char* NormalizePluginCreator::getPluginVersion() const noexcept { + return "1"; +} + +nvinfer1::IPluginV2* NormalizePluginCreator::createPlugin( + const char* name, + const nvinfer1::PluginFieldCollection* fc) noexcept { + int32_t order = 0; + std::vector axes; + int32_t keep_dims = 0; + for (int i = 0; i < fc->nbFields; i++) { + std::string field_name(fc->fields[i].name); + if (field_name.compare("order") == 0) { + order = *static_cast(fc->fields[i].data); + } else if (field_name.compare("axes") == 0) { + auto axes_values = static_cast(fc->fields[i].data); + axes.assign(axes_values, axes_values + fc->fields[i].length); + } else if (field_name.compare("keep_dims") == 0) { + keep_dims = *static_cast(fc->fields[i].data); + } + } + NormalizePlugin* plugin = new NormalizePlugin(order, axes, keep_dims); + return plugin; +} + +nvinfer1::IPluginV2* NormalizePluginCreator::deserializePlugin( + const char* name, + const void* serialData, + size_t serialLength) noexcept { + name_ = name; + auto plugin = new NormalizePlugin((const char*)serialData, serialLength); + return plugin; +} + +const nvinfer1::PluginFieldCollection* NormalizePluginCreator::getFieldNames() noexcept { + return nullptr; +} + +REGISTER_TORCHTRT_PLUGIN(NormalizePluginCreator); + +} // namespace impl +} // namespace plugins +} // namespace core +} // namespace torch_tensorrt diff --git a/core/plugins/impl/normalize_plugin.h b/core/plugins/impl/normalize_plugin.h index 3fd98642ad..28c3a5c5da 100644 --- a/core/plugins/impl/normalize_plugin.h +++ b/core/plugins/impl/normalize_plugin.h @@ -1,129 +1,124 @@ -#pragma once - -#include -#include -#include -#include -#include -#include -#include -#include - -#include "NvInfer.h" -#include "core/util/prelude.h" -#include "torch/torch.h" - -// using namespace nvinfer1; - -namespace torch_tensorrt { -namespace core { -namespace plugins { -namespace impl { - -class NormalizePlugin : public nvinfer1::IPluginV2DynamicExt { - private: - nvinfer1::DataType dtype_; - int32_t order_; - std::vector axes_; - int32_t keep_dims_; - - public: - NormalizePlugin(int32_t order, std::vector axes, int32_t keep_dims); - - NormalizePlugin(const char* data, size_t length); - - NormalizePlugin() = delete; - - int getNbOutputs() const noexcept override; - - const char* getPluginType() const noexcept override; - - const char* getPluginVersion() const noexcept override; - - const char* getPluginNamespace() const noexcept override; - - void setPluginNamespace(const char* pluginNamespace) noexcept override{}; - - nvinfer1::IPluginV2DynamicExt* clone() const noexcept override; - - nvinfer1::DimsExprs getOutputDimensions( - int outputIndex, - const nvinfer1::DimsExprs* inputs, - int nbInputs, - nvinfer1::IExprBuilder& exprBuilder) noexcept override; - - nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const - noexcept override; - - int initialize() noexcept override; - - void terminate() noexcept override {} - - void serialize(void* buffer) const noexcept; - - std::string serializeToString() const noexcept; - - size_t getSerializationSize() const noexcept override; - - void destroy() noexcept override {} - - bool supportsFormatCombination( - int pos, - const nvinfer1::PluginTensorDesc* inOut, - int nbInputs, - int nbOutputs) noexcept override; - - void configurePlugin( - const nvinfer1::DynamicPluginTensorDesc* in, - int nbInputs, - const nvinfer1::DynamicPluginTensorDesc* out, - int nbOutputs) noexcept override; - - size_t getWorkspaceSize( - const nvinfer1::PluginTensorDesc* inputs, - int nbInputs, - const nvinfer1::PluginTensorDesc* outputs, - int nbOutputs) const noexcept override; - - int enqueue( - const nvinfer1::PluginTensorDesc* inputDesc, - const nvinfer1::PluginTensorDesc* outputDesc, - const void* const* inputs, - void* const* outputs, - void* workspace, - cudaStream_t stream) noexcept override; -}; - -class NormalizePluginCreator : public nvinfer1::IPluginCreator { - private: - std::string name_; - std::vector mPluginAttributes; - nvinfer1::PluginFieldCollection mFC; - - public: - NormalizePluginCreator(); - - const char* getPluginNamespace() const noexcept override; - - void setPluginNamespace(const char* libNamespace) noexcept override{}; - - const char* getPluginName() const noexcept override; - - const char* getPluginVersion() const noexcept override; - - nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) noexcept override; - - // NormalizePlugin* createPlugin(const char* name, int32_t order, std::vector axes, int32_t keep_dims); - - nvinfer1::IPluginV2* deserializePlugin( - const char* name, - const void* serialData, - size_t serialLength) noexcept override; - - const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override; -}; - -} // namespace impl -} // namespace plugins -} // namespace core -} // namespace torch_tensorrt \ No newline at end of file +#pragma once + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "NvInfer.h" +#include "core/util/prelude.h" +#include "torch/torch.h" + +// using namespace nvinfer1; + +namespace torch_tensorrt { +namespace core { +namespace plugins { +namespace impl { + +class NormalizePlugin : public nvinfer1::IPluginV2DynamicExt { + private: + nvinfer1::DataType dtype_; + int32_t order_; + std::vector axes_; + int32_t keep_dims_; + + public: + NormalizePlugin(int32_t order, std::vector axes, int32_t keep_dims); + + NormalizePlugin(const char* data, size_t length); + + NormalizePlugin() = delete; + + int getNbOutputs() const noexcept override; + + const char* getPluginType() const noexcept override; + + const char* getPluginVersion() const noexcept override; + + const char* getPluginNamespace() const noexcept override; + + void setPluginNamespace(const char* pluginNamespace) noexcept override{}; + + nvinfer1::IPluginV2DynamicExt* clone() const noexcept override; + + nvinfer1::DimsExprs getOutputDimensions( + int outputIndex, + const nvinfer1::DimsExprs* inputs, + int nbInputs, + nvinfer1::IExprBuilder& exprBuilder) noexcept override; + + nvinfer1::DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) + const noexcept override; + + int initialize() noexcept override; + + void terminate() noexcept override {} + + void serialize(void* buffer) const noexcept; + + std::string serializeToString() const noexcept; + + size_t getSerializationSize() const noexcept override; + + void destroy() noexcept override {} + + bool supportsFormatCombination(int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) noexcept + override; + + void configurePlugin( + const nvinfer1::DynamicPluginTensorDesc* in, + int nbInputs, + const nvinfer1::DynamicPluginTensorDesc* out, + int nbOutputs) noexcept override; + + size_t getWorkspaceSize( + const nvinfer1::PluginTensorDesc* inputs, + int nbInputs, + const nvinfer1::PluginTensorDesc* outputs, + int nbOutputs) const noexcept override; + + int enqueue( + const nvinfer1::PluginTensorDesc* inputDesc, + const nvinfer1::PluginTensorDesc* outputDesc, + const void* const* inputs, + void* const* outputs, + void* workspace, + cudaStream_t stream) noexcept override; +}; + +class NormalizePluginCreator : public nvinfer1::IPluginCreator { + private: + std::string name_; + std::vector mPluginAttributes; + nvinfer1::PluginFieldCollection mFC; + + public: + NormalizePluginCreator(); + + const char* getPluginNamespace() const noexcept override; + + void setPluginNamespace(const char* libNamespace) noexcept override{}; + + const char* getPluginName() const noexcept override; + + const char* getPluginVersion() const noexcept override; + + nvinfer1::IPluginV2* createPlugin(const char* name, const nvinfer1::PluginFieldCollection* fc) noexcept override; + + // NormalizePlugin* createPlugin(const char* name, int32_t order, std::vector axes, int32_t keep_dims); + + nvinfer1::IPluginV2* deserializePlugin(const char* name, const void* serialData, size_t serialLength) noexcept + override; + + const nvinfer1::PluginFieldCollection* getFieldNames() noexcept override; +}; + +} // namespace impl +} // namespace plugins +} // namespace core +} // namespace torch_tensorrt diff --git a/core/plugins/plugins.h b/core/plugins/plugins.h index 5abe17cf4a..18d090bf95 100644 --- a/core/plugins/plugins.h +++ b/core/plugins/plugins.h @@ -1,29 +1,29 @@ -#pragma once -#include -#include "NvInferPlugin.h" -#include "NvInferPluginUtils.h" -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace plugins { -namespace impl { -// Helper class which registers a plugin in torch_tensorrt namespace -template -class PluginRegistrar { - public: - PluginRegistrar() { - getPluginRegistry()->registerCreator(instance, "torch_tensorrt"); - } - - private: - T instance{}; -}; - -#define REGISTER_TORCHTRT_PLUGIN(name) \ - static PluginRegistrar pluginRegistrar##name {} - -} // namespace impl -} // namespace plugins -} // namespace core -} // namespace torch_tensorrt +#pragma once +#include +#include "NvInferPlugin.h" +#include "NvInferPluginUtils.h" +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace plugins { +namespace impl { +// Helper class which registers a plugin in torch_tensorrt namespace +template +class PluginRegistrar { + public: + PluginRegistrar() { + getPluginRegistry()->registerCreator(instance, "torch_tensorrt"); + } + + private: + T instance{}; +}; + +#define REGISTER_TORCHTRT_PLUGIN(name) \ + static PluginRegistrar pluginRegistrar##name {} + +} // namespace impl +} // namespace plugins +} // namespace core +} // namespace torch_tensorrt diff --git a/core/plugins/register_plugins.cpp b/core/plugins/register_plugins.cpp index 54ea432a90..f816255b9d 100644 --- a/core/plugins/register_plugins.cpp +++ b/core/plugins/register_plugins.cpp @@ -1,57 +1,57 @@ -#include "NvInferPlugin.h" -#include "NvInferPluginUtils.h" -#include "core/plugins/impl/interpolate_plugin.h" -#include "core/plugins/impl/normalize_plugin.h" -#include "core/plugins/plugins.h" -#include "core/util/prelude.h" - -namespace torch_tensorrt { -namespace core { -namespace plugins { -namespace impl { - -// Main registry for all flavours of plugins (eg: TRT plugins, Torch-TensorRT opensourced plugins) -class TorchTRTPluginRegistry { - public: - TorchTRTPluginRegistry() { - // register libNvInferPlugins and Torch-TensorRT plugins - // torch_tensorrt_logger logging level is set to kERROR and reset back to kDEBUG. - // This is because initLibNvInferPlugins initializes only a subset of plugins and logs them. - // Plugins outside this subset in TensorRT are not being logged in this. So temporarily we disable this to prevent - // multiple logging of same plugins. To provide a clear list of all plugins, we iterate through getPluginRegistry() - // where it prints the list of all the plugins registered in TensorRT with their namespaces. - plugin_logger.set_reportable_log_level(util::logging::LogLevel::kERROR); - initLibNvInferPlugins(&plugin_logger, ""); - plugin_logger.set_reportable_log_level(util::logging::get_logger().get_reportable_log_level()); - - int numCreators = 0; - auto pluginsList = getPluginRegistry()->getPluginCreatorList(&numCreators); - for (int k = 0; k < numCreators; ++k) { - if (!pluginsList[k]) { - plugin_logger.log(util::logging::LogLevel::kDEBUG, "Plugin creator for plugin " + str(k) + " is a nullptr"); - continue; - } - std::string pluginNamespace = pluginsList[k]->getPluginNamespace(); - plugin_logger.log( - util::logging::LogLevel::kDEBUG, - "Registered plugin creator - " + std::string(pluginsList[k]->getPluginName()) + - ", Namespace: " + pluginNamespace); - } - plugin_logger.log(util::logging::LogLevel::kDEBUG, "Total number of plugins registered: " + str(numCreators)); - } - - public: - util::logging::TorchTRTLogger plugin_logger = util::logging::TorchTRTLogger( - "[Torch-TensorRT Plugins Context] - ", - util::logging::get_logger().get_reportable_log_level(), - util::logging::get_logger().get_is_colored_output_on()); -}; - -namespace { -static TorchTRTPluginRegistry plugin_registry; -} - -} // namespace impl -} // namespace plugins -} // namespace core -} // namespace torch_tensorrt +#include "NvInferPlugin.h" +#include "NvInferPluginUtils.h" +#include "core/plugins/impl/interpolate_plugin.h" +#include "core/plugins/impl/normalize_plugin.h" +#include "core/plugins/plugins.h" +#include "core/util/prelude.h" + +namespace torch_tensorrt { +namespace core { +namespace plugins { +namespace impl { + +// Main registry for all flavours of plugins (eg: TRT plugins, Torch-TensorRT opensourced plugins) +class TorchTRTPluginRegistry { + public: + TorchTRTPluginRegistry() { + // register libNvInferPlugins and Torch-TensorRT plugins + // torch_tensorrt_logger logging level is set to kERROR and reset back to kDEBUG. + // This is because initLibNvInferPlugins initializes only a subset of plugins and logs them. + // Plugins outside this subset in TensorRT are not being logged in this. So temporarily we disable this to prevent + // multiple logging of same plugins. To provide a clear list of all plugins, we iterate through getPluginRegistry() + // where it prints the list of all the plugins registered in TensorRT with their namespaces. + plugin_logger.set_reportable_log_level(util::logging::LogLevel::kERROR); + initLibNvInferPlugins(&plugin_logger, ""); + plugin_logger.set_reportable_log_level(util::logging::get_logger().get_reportable_log_level()); + + int numCreators = 0; + auto pluginsList = getPluginRegistry()->getPluginCreatorList(&numCreators); + for (int k = 0; k < numCreators; ++k) { + if (!pluginsList[k]) { + plugin_logger.log(util::logging::LogLevel::kDEBUG, "Plugin creator for plugin " + str(k) + " is a nullptr"); + continue; + } + std::string pluginNamespace = pluginsList[k]->getPluginNamespace(); + plugin_logger.log( + util::logging::LogLevel::kDEBUG, + "Registered plugin creator - " + std::string(pluginsList[k]->getPluginName()) + + ", Namespace: " + pluginNamespace); + } + plugin_logger.log(util::logging::LogLevel::kDEBUG, "Total number of plugins registered: " + str(numCreators)); + } + + public: + util::logging::TorchTRTLogger plugin_logger = util::logging::TorchTRTLogger( + "[Torch-TensorRT Plugins Context] - ", + util::logging::get_logger().get_reportable_log_level(), + util::logging::get_logger().get_is_colored_output_on()); +}; + +namespace { +static TorchTRTPluginRegistry plugin_registry; +} + +} // namespace impl +} // namespace plugins +} // namespace core +} // namespace torch_tensorrt diff --git a/core/runtime/BUILD b/core/runtime/BUILD index 3f37621e2a..0d9513fc74 100644 --- a/core/runtime/BUILD +++ b/core/runtime/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -12,10 +15,10 @@ cc_library( srcs = [ "CudaDevice.cpp", "DeviceList.cpp", - "execute_engine.cpp", "TRTEngine.cpp", + "execute_engine.cpp", "register_jit_hooks.cpp", - "runtime.cpp" + "runtime.cpp", ], hdrs = [ "runtime.h", @@ -23,7 +26,7 @@ cc_library( deps = [ "@tensorrt//:nvinfer", "//core/util:prelude", - "//core/plugins:torch_tensorrt_plugins" + "//core/plugins:torch_tensorrt_plugins", ] + select({ ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], "//conditions:default": ["@libtorch//:libtorch"], @@ -31,8 +34,6 @@ cc_library( alwayslink = True, ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["runtime.h"], diff --git a/core/runtime/CMakeLists.txt b/core/runtime/CMakeLists.txt index 953f76c903..4481014f54 100644 --- a/core/runtime/CMakeLists.txt +++ b/core/runtime/CMakeLists.txt @@ -1,7 +1,7 @@ set(lib_name "core_runtime") add_library(${lib_name} OBJECT) -set(CXX_SRCS +set(CXX_SRCS "${CMAKE_CURRENT_SOURCE_DIR}/CudaDevice.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/DeviceList.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/execute_engine.cpp" @@ -14,17 +14,17 @@ set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/runtime.h" ) -target_sources(${lib_name} +target_sources(${lib_name} PRIVATE ${CXX_SRCS} $ ) -target_include_directories(${lib_name} - PUBLIC +target_include_directories(${lib_name} + PUBLIC "$" ) -target_link_libraries(${lib_name} +target_link_libraries(${lib_name} PUBLIC TensorRT::nvinfer torch diff --git a/core/runtime/register_jit_hooks.cpp b/core/runtime/register_jit_hooks.cpp index 2bb99efdf2..04eb371c0f 100644 --- a/core/runtime/register_jit_hooks.cpp +++ b/core/runtime/register_jit_hooks.cpp @@ -46,4 +46,4 @@ TORCH_LIBRARY(tensorrt, m) { } // namespace } // namespace runtime } // namespace core -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/core/util/BUILD b/core/util/BUILD index 860cecfedc..a221a6e080 100644 --- a/core/util/BUILD +++ b/core/util/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -28,7 +31,7 @@ cc_library( "jit_util.h", ], deps = [ - ":macros" + ":macros", ] + select({ ":use_pre_cxx11_abi": ["@libtorch_pre_cxx11_abi//:libtorch"], "//conditions:default": ["@libtorch//:libtorch"], @@ -87,8 +90,6 @@ cc_library( }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = [ diff --git a/core/util/CMakeLists.txt b/core/util/CMakeLists.txt index 317c6e87c2..9e5439af74 100644 --- a/core/util/CMakeLists.txt +++ b/core/util/CMakeLists.txt @@ -1,7 +1,7 @@ set(lib_name "core_util") add_library(${lib_name} OBJECT) -set(CXX_SRCS +set(CXX_SRCS "${CMAKE_CURRENT_SOURCE_DIR}/Exception.cpp" "${CMAKE_CURRENT_SOURCE_DIR}/trt_util.cpp" ) @@ -22,7 +22,7 @@ target_sources(${lib_name} "$" ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PUBLIC "$" ) @@ -37,4 +37,4 @@ target_link_libraries(${lib_name} # Install install(FILES ${HEADER_FILES} DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}/torch_tensorrt/core/util") -add_subdirectory(logging) \ No newline at end of file +add_subdirectory(logging) diff --git a/core/util/logging/BUILD b/core/util/logging/BUILD index 864819eb5f..de826922d1 100644 --- a/core/util/logging/BUILD +++ b/core/util/logging/BUILD @@ -1,3 +1,6 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") +load("@rules_pkg//:pkg.bzl", "pkg_tar") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -23,8 +26,6 @@ cc_library( }), ) -load("@rules_pkg//:pkg.bzl", "pkg_tar") - pkg_tar( name = "include", srcs = ["TorchTRTLogger.h"], diff --git a/core/util/logging/CMakeLists.txt b/core/util/logging/CMakeLists.txt index 31374d8141..3792bf6628 100644 --- a/core/util/logging/CMakeLists.txt +++ b/core/util/logging/CMakeLists.txt @@ -6,11 +6,11 @@ target_sources(${lib_name} "${CMAKE_CURRENT_SOURCE_DIR}/TorchTRTLogger.cpp" ) -set(HEADER_FILES +set(HEADER_FILES "${CMAKE_CURRENT_SOURCE_DIR}/TorchTRTLogger.h" ) -target_include_directories(${lib_name} +target_include_directories(${lib_name} PRIVATE "$" ) diff --git a/cpp/BUILD b/cpp/BUILD index 66beb73323..e5cb1558e9 100644 --- a/cpp/BUILD +++ b/cpp/BUILD @@ -1,3 +1,5 @@ +load("@rules_cc//cc:defs.bzl", "cc_library") + package(default_visibility = ["//visibility:public"]) cc_library( @@ -7,7 +9,7 @@ cc_library( "src/logging.cpp", "src/ptq.cpp", "src/torch_tensorrt.cpp", - "src/types.cpp" + "src/types.cpp", ], hdrs = [ "include/torch_tensorrt/logging.h", diff --git a/cpp/CMakeLists.txt b/cpp/CMakeLists.txt index a0380fe5ce..6b760728d8 100644 --- a/cpp/CMakeLists.txt +++ b/cpp/CMakeLists.txt @@ -23,7 +23,7 @@ target_sources(${lib_name} ) target_link_libraries(${lib_name} - PUBLIC + PUBLIC torch TensorRT::nvinfer core @@ -77,7 +77,7 @@ target_link_libraries(${torchtrt_lib_name} core ) -target_include_directories(${torchtrt_lib_name} +target_include_directories(${torchtrt_lib_name} PUBLIC # enable include from core from the tests "$" @@ -112,7 +112,7 @@ target_link_libraries(${runtime_lib_name} PUBLIC TensorRT::TensorRT torch - PRIVATE + PRIVATE core_runtime core_plugins ) @@ -139,7 +139,7 @@ target_link_libraries(${plugins_lib_name} PUBLIC TensorRT::TensorRT PRIVATE - core_plugins + core_plugins ) install( diff --git a/cpp/bin/torchtrtc/BUILD b/cpp/bin/torchtrtc/BUILD index 9d58e3211b..737a8481f1 100644 --- a/cpp/bin/torchtrtc/BUILD +++ b/cpp/bin/torchtrtc/BUILD @@ -1,3 +1,5 @@ +load("@rules_cc//cc:defs.bzl", "cc_binary") + package(default_visibility = ["//visibility:public"]) config_setting( @@ -10,17 +12,17 @@ config_setting( cc_binary( name = "torchtrtc", srcs = [ - "accuracy.h", "accuracy.cpp", - "fileio.h", + "accuracy.h", "fileio.cpp", + "fileio.h", "luts.h", "main.cpp", + "parser_util.cpp", "parser_util.h", - "parser_util.cpp" ], linkopts = [ - "-l:libdl.so" + "-l:libdl.so", ], deps = [ "//third_party/args", diff --git a/cpp/bin/torchtrtc/CMakeLists.txt b/cpp/bin/torchtrtc/CMakeLists.txt index b12461e12a..72a93d22ac 100644 --- a/cpp/bin/torchtrtc/CMakeLists.txt +++ b/cpp/bin/torchtrtc/CMakeLists.txt @@ -17,7 +17,7 @@ else() LINK_FLAGS "-Wl,--disable-new-dtags") endif() -target_include_directories(${executable_name} +target_include_directories(${executable_name} PUBLIC "$" ) diff --git a/cpp/bin/torchtrtc/fileio.cpp b/cpp/bin/torchtrtc/fileio.cpp index c7fc0a9b72..ece744c889 100644 --- a/cpp/bin/torchtrtc/fileio.cpp +++ b/cpp/bin/torchtrtc/fileio.cpp @@ -47,4 +47,4 @@ std::string resolve_path(std::string path) { } } // namespace fileio -} // namespace torchtrtc \ No newline at end of file +} // namespace torchtrtc diff --git a/cpp/bin/torchtrtc/fileio.h b/cpp/bin/torchtrtc/fileio.h index 05d4ede583..ed52d566a1 100644 --- a/cpp/bin/torchtrtc/fileio.h +++ b/cpp/bin/torchtrtc/fileio.h @@ -35,4 +35,4 @@ std::string real_path(std::string path); std::string resolve_path(std::string path); } // namespace fileio -} // namespace torchtrtc \ No newline at end of file +} // namespace torchtrtc diff --git a/cpp/bin/torchtrtc/luts.h b/cpp/bin/torchtrtc/luts.h index ee75f711f8..7db9a63d2f 100644 --- a/cpp/bin/torchtrtc/luts.h +++ b/cpp/bin/torchtrtc/luts.h @@ -36,4 +36,4 @@ const std::unordered_map& get_trt_at_type_ma } } // namespace luts -} // namespace torchtrtc \ No newline at end of file +} // namespace torchtrtc diff --git a/cpp/bin/torchtrtc/parser_util.cpp b/cpp/bin/torchtrtc/parser_util.cpp index 86d7b32242..0619ac00cc 100644 --- a/cpp/bin/torchtrtc/parser_util.cpp +++ b/cpp/bin/torchtrtc/parser_util.cpp @@ -187,4 +187,4 @@ torchtrt::Input parse_input(std::string spec) { } } // namespace parserutil -} // namespace torchtrtc \ No newline at end of file +} // namespace torchtrtc diff --git a/cpp/bin/torchtrtc/parser_util.h b/cpp/bin/torchtrtc/parser_util.h index 7246929130..9ed5f6d06b 100644 --- a/cpp/bin/torchtrtc/parser_util.h +++ b/cpp/bin/torchtrtc/parser_util.h @@ -31,4 +31,4 @@ std::vector> parse_dynamic_dim(std::string shape_str); torchtrt::Input parse_input(std::string input_specs); } // namespace parserutil -} // namespace torchtrtc \ No newline at end of file +} // namespace torchtrtc diff --git a/cpp/include/torch_tensorrt/ptq.h b/cpp/include/torch_tensorrt/ptq.h index e928fa6856..d8570f0e6e 100644 --- a/cpp/include/torch_tensorrt/ptq.h +++ b/cpp/include/torch_tensorrt/ptq.h @@ -354,4 +354,4 @@ inline Int8CacheCalibrator make_int8_cache_calibrator(const std::stri } } // namespace ptq -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/cpp/lib/BUILD b/cpp/lib/BUILD index e6d506136c..0520a90a20 100644 --- a/cpp/lib/BUILD +++ b/cpp/lib/BUILD @@ -1,13 +1,15 @@ +load("@rules_cc//cc:defs.bzl", "cc_binary") + package(default_visibility = ["//visibility:public"]) cc_binary( name = "libtorchtrt_plugins.so", srcs = [], + linkshared = True, + linkstatic = True, deps = [ - "//core/plugins:torch_tensorrt_plugins" + "//core/plugins:torch_tensorrt_plugins", ], - linkstatic = True, - linkshared = True ) cc_binary( @@ -16,8 +18,8 @@ cc_binary( linkshared = True, linkstatic = True, deps = [ - "//core/runtime:runtime", - "//core/plugins:torch_tensorrt_plugins" + "//core/plugins:torch_tensorrt_plugins", + "//core/runtime", ], ) diff --git a/cpp/src/compile_spec.cpp b/cpp/src/compile_spec.cpp index 8c7bb8b403..cfbc228396 100644 --- a/cpp/src/compile_spec.cpp +++ b/cpp/src/compile_spec.cpp @@ -69,22 +69,24 @@ torchtrt::core::CompileSpec init_compile_spec(CompileSpec& external) { return internal; } else { torch::jit::IValue converted_input_signature; - LOG_WARNING( "Input signature parsing is an experimental feature, behavior and APIs may change"); + LOG_WARNING("Input signature parsing is an experimental feature, behavior and APIs may change"); to_internal_input_signature(external.graph_inputs.input_signature, converted_input_signature); torchtrt::core::CompileSpec internal(converted_input_signature); - TORCHTRT_CHECK(!external.require_full_compilation, \ - "Grouped inputs currently requires partial compilation to be enabled, \ + TORCHTRT_CHECK( + !external.require_full_compilation, + "Grouped inputs currently requires partial compilation to be enabled, \ this restriction will be relaxed in a future release"); LOG_DEBUG("Grouped inputs currently requires additional settings to enable the feature"); - LOG_DEBUG("Adding the following ops to torch_executed_ops:" \ - << std::endl << " - aten::__getitem__" \ - << std::endl << " - prim::ListConstruct" \ - << std::endl << " - prim::ListUnpack" \ - << std::endl << " - prim::TupleIndex" \ - << std::endl << " - prim::TupleConstruct" \ - << std::endl << " - prim::TupleUnpack"); + LOG_DEBUG( + "Adding the following ops to torch_executed_ops:" << std::endl + << " - aten::__getitem__" << std::endl + << " - prim::ListConstruct" << std::endl + << " - prim::ListUnpack" << std::endl + << " - prim::TupleIndex" << std::endl + << " - prim::TupleConstruct" << std::endl + << " - prim::TupleUnpack"); external.torch_executed_ops.push_back("aten::__getitem__"); external.torch_executed_ops.push_back("prim::ListConstruct"); external.torch_executed_ops.push_back("prim::ListUnpack"); diff --git a/cpp/src/ptq.cpp b/cpp/src/ptq.cpp index 1968086f87..7d36e9ce7d 100644 --- a/cpp/src/ptq.cpp +++ b/cpp/src/ptq.cpp @@ -13,4 +13,4 @@ bool get_batch_impl(void* bindings[], const char* names[], int nbBindings, torch } } // namespace ptq -} // namespace torch_tensorrt \ No newline at end of file +} // namespace torch_tensorrt diff --git a/docker/Dockerfile.docs b/docker/Dockerfile.docs index 873f5bec37..1cc75ada4f 100644 --- a/docker/Dockerfile.docs +++ b/docker/Dockerfile.docs @@ -1,16 +1,18 @@ -FROM nvcr.io/nvidia/tensorrt:22.01-py3 +FROM nvcr.io/nvidia/tensorrt:22.06-py3 RUN curl https://bazel.build/bazel-release.pub.gpg | apt-key add - RUN echo "deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list -RUN apt-get update && apt-get install -y bazel-5.1.1 clang-format-9 libjpeg9 libjpeg9-dev -RUN ln -s /usr/bin/bazel-5.1.1 /usr/bin/bazel -RUN ln -s $(which clang-format-9) /usr/bin/clang-format +RUN apt-get update && apt-get install -y bazel-5.2.0 clang-format-9 libjpeg9 libjpeg9-dev +RUN ln -s /usr/bin/bazel-5.2.0 /usr/bin/bazel # Workaround for bazel expecting both static and shared versions, we only use shared libraries inside container RUN cp /usr/lib/x86_64-linux-gnu/libnvinfer.so /usr/lib/x86_64-linux-gnu/libnvinfer_static.a RUN python3 -m pip install --upgrade pip +COPY ./requirements-dev.txt requirements-dev.txt +RUN pip3 install -r requirements-dev.txt + COPY ./py/requirements.txt requirements.txt RUN pip3 install -r requirements.txt diff --git a/docker/WORKSPACE.docker b/docker/WORKSPACE.docker index f4b73cae2a..527db583e5 100755 --- a/docker/WORKSPACE.docker +++ b/docker/WORKSPACE.docker @@ -86,4 +86,4 @@ new_local_repository( pip_install( name = "pylinter_deps", requirements = "//tools/linter:requirements.txt", -) \ No newline at end of file +) diff --git a/docker/dist-build.sh b/docker/dist-build.sh index 2b1fe30c31..cf209258be 100755 --- a/docker/dist-build.sh +++ b/docker/dist-build.sh @@ -20,4 +20,3 @@ pip3 install timm # test install pip3 uninstall -y torch_tensorrt && pip3 install ${TOP_DIR}/py/dist/*.whl - diff --git a/docker/dist-test.sh b/docker/dist-test.sh index a4998460b8..29e84ef0d8 100755 --- a/docker/dist-test.sh +++ b/docker/dist-test.sh @@ -6,4 +6,3 @@ cd tests/modules && python3 ./hub.py cd ../.. bazel test //tests:tests //tests:python_api_tests --compilation_mode=opt --jobs=4 --define=torchtrt_src=prebuilt - diff --git a/docker/qat.patch b/docker/qat.patch index fd64401aa0..cb39878201 100644 --- a/docker/qat.patch +++ b/docker/qat.patch @@ -7,5 +7,5 @@ - inputs, scale.data, torch.zeros_like(scale, dtype=torch.long).data, quant_dim, + inputs, scale.data, torch.zeros_like(scale, dtype=torch.int32).data, quant_dim, -bound - 1 if not self._unsigned else 0, bound) - + return outputs diff --git a/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html b/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html index 7d2b43a650..64a3a981be 100644 --- a/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html +++ b/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html @@ -9,22 +9,22 @@ - + Class DataType — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- - + +
- +

@@ -554,11 +554,11 @@

Class DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -581,12 +581,12 @@

Class Documentation @@ -595,9 +595,9 @@

Class Documentation - - + + @@ -608,7 +608,7 @@

Class Documentation - + Class Device::DeviceType — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- - + +
- +

@@ -502,11 +502,11 @@

Class DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -530,12 +530,12 @@

Class Documentation @@ -544,9 +544,9 @@

Class Documentation - - + + @@ -557,7 +557,7 @@

Class Documentation - + Class TensorFormat — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- - + +
- +

@@ -535,11 +535,11 @@

Class DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -562,12 +562,12 @@

Class Documentation @@ -576,9 +576,9 @@

Class Documentation - - + + @@ -589,7 +589,7 @@

Class Documentation - + Template Class Int8CacheCalibrator — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Template Class Int8CacheCalibrator

- - + +
- +

@@ -495,11 +495,11 @@

Class DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -526,12 +526,12 @@

Class Documentation @@ -540,9 +540,9 @@

Class Documentation - - + + @@ -553,7 +553,7 @@

Class Documentation - + Template Class Int8Calibrator — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Template Class Int8Calibrator

- - + +
- +

@@ -505,11 +505,11 @@

Class DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -536,12 +536,12 @@

Class Documentation @@ -550,9 +550,9 @@

Class Documentation - - + + @@ -563,7 +563,7 @@

Class Documentation - + Define STR — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define STR

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html b/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html index 8523b0f2ab..ed4dfb1e18 100644 --- a/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html +++ b/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html @@ -9,22 +9,22 @@ - + Define TORCH_TENSORRT_PATCH_VERSION — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCH_TENSORRT_PATCH_VERSION

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html b/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html index 91ae6b4bc4..6aefafdac6 100644 --- a/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html +++ b/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html @@ -9,22 +9,22 @@ - + Define TORCH_TENSORRT_MAJOR_VERSION — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCH_TENSORRT_MAJOR_VERSION

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html b/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html index 31c9e74d99..e4450171f4 100644 --- a/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html +++ b/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html @@ -9,22 +9,22 @@ - + Define TORCH_TENSORRT_MINOR_VERSION — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCH_TENSORRT_MINOR_VERSION

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html b/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html index 98dfc1b64a..f1a14e6557 100644 --- a/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html +++ b/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html @@ -9,22 +9,22 @@ - + Define TORCHTRT_API — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCHTRT_API

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html b/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html index 54e1b888c6..d3c81be46a 100644 --- a/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html +++ b/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html @@ -9,22 +9,22 @@ - + Define XSTR — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define XSTR

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

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Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html b/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html index d0f03666bf..da099f0a00 100644 --- a/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html +++ b/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html @@ -9,22 +9,22 @@ - + Define TORCHTRT_HIDDEN — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCHTRT_HIDDEN

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

Define Documentation + diff --git a/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html b/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html index 2e9a5ad66b..d06284d4e7 100644 --- a/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html +++ b/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html @@ -9,22 +9,22 @@ - + Define TORCH_TENSORRT_VERSION — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
@@ -344,13 +344,13 @@
- - + +
- +
- +

Define TORCH_TENSORRT_VERSION

    @@ -368,25 +368,25 @@

    Define Documentation - +

@@ -421,12 +421,12 @@

Define Documentation

- - - + + + @@ -435,9 +435,9 @@

Define Documentation - - + + @@ -448,7 +448,7 @@

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- + @@ -305,30 +305,30 @@
- +
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- +
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Subdirectories - - + + @@ -431,7 +431,7 @@

Subdirectories - + Directory include — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -34,11 +34,11 @@ - + - - + + @@ -178,9 +178,9 @@ - - + +
Table of Contents @@ -191,21 +191,21 @@
@@ -286,7 +286,7 @@
- + @@ -305,30 +305,30 @@
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Subdirectories - + Directory torch_tensorrt — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -34,11 +34,11 @@ - + - - + + @@ -178,9 +178,9 @@ - - + +
Table of Contents @@ -191,21 +191,21 @@
@@ -286,7 +286,7 @@
- + @@ -305,30 +305,30 @@
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  • - + Docs - + >
    • - +
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    • - - + +
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@@ -340,13 +340,13 @@
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- +
- +

Directory torch_tensorrt

↰ Parent directory (cpp/include)

@@ -364,16 +364,16 @@

Files

- +
@@ -408,12 +408,12 @@

Files

- - - + + + @@ -422,9 +422,9 @@

Files - - + + @@ -435,7 +435,7 @@

Files jQuery(function () { SphinxRtdTheme.Navigation.enable(true); }); - + diff --git a/docs/_cpp_api/enum_logging_8h_1a130f65408ad8cbaee060f05e8db69558.html b/docs/_cpp_api/enum_logging_8h_1a130f65408ad8cbaee060f05e8db69558.html index 193f257934..4101739220 100644 --- a/docs/_cpp_api/enum_logging_8h_1a130f65408ad8cbaee060f05e8db69558.html +++ b/docs/_cpp_api/enum_logging_8h_1a130f65408ad8cbaee060f05e8db69558.html @@ -9,22 +9,22 @@ - + Enum Level — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
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- + @@ -307,32 +307,32 @@
- +
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- +
- - + +
- +

@@ -432,11 +432,11 @@

Enum DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -459,12 +459,12 @@

Enum Documentation @@ -473,9 +473,9 @@

Enum Documentation - - + + @@ -486,7 +486,7 @@

Enum Documentation - + Enum EngineCapability — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -36,11 +36,11 @@ - + - - + + @@ -180,9 +180,9 @@ - - + +
Table of Contents @@ -193,21 +193,21 @@
@@ -288,7 +288,7 @@
- + @@ -307,32 +307,32 @@
- +
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- +
- - + +
- +

@@ -411,11 +411,11 @@

Enum DocumentationSphinx using a theme provided by Read the Docs.

- + @@ -438,12 +438,12 @@

Enum Documentation @@ -452,9 +452,9 @@

Enum Documentation - - + + @@ -465,7 +465,7 @@

Enum Documentation - + File logging.h — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -34,11 +34,11 @@ - + - - + + @@ -178,9 +178,9 @@ - - + +
Table of Contents @@ -191,21 +191,21 @@
@@ -286,7 +286,7 @@
- + @@ -305,30 +305,30 @@
- +
@@ -340,13 +340,13 @@
- - + +
- +
- + @@ -460,12 +460,12 @@

Functions @@ -474,9 +474,9 @@

Functions - - + + @@ -487,7 +487,7 @@

Functions - + File macros.h — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -34,11 +34,11 @@ - + - - + + @@ -178,9 +178,9 @@ - - + +
Table of Contents @@ -191,21 +191,21 @@
@@ -286,7 +286,7 @@
- + @@ -305,30 +305,30 @@
- +
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- - + +
- +
- + @@ -445,12 +445,12 @@

Defines @@ -459,9 +459,9 @@

Defines - - + + @@ -472,7 +472,7 @@

Defines - + File ptq.h — Torch-TensorRT master documentation - - - - - - - - - - + + + + + + + + + + @@ -34,11 +34,11 @@ - + - - + + @@ -178,9 +178,9 @@ - - + +
Table of Contents @@ -191,21 +191,21 @@
@@ -286,7 +286,7 @@
- + @@ -305,30 +305,30 @@
- +
@@ -340,13 +340,13 @@
- - + +
- +
- + @@ -456,12 +456,12 @@

Functions @@ -470,9 +470,9 @@

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Function torch_tensorrt::logging::get_logging_prefix

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Function Documentation

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Function torch_tensorrt::logging::get_reportable_log_level

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Function Documentation

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Function torch_tensorrt::logging::get_is_colored_output_on

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Function Documentation

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Function torch_tensorrt::logging::set_reportable_log_level

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Function Documentation

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Function torch_tensorrt::logging::set_is_colored_output_on

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    Function Documentation - +

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Function Documentation

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Function Documentation - - + + @@ -454,7 +454,7 @@

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Function torch_tensorrt::logging::set_logging_prefix

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Function Documentation

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Function Documentation

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Template Function torch_tensorrt::ptq::make_int8_cache_calibrator

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Function Documentation

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Function torch_tensorrt::torchscript::check_method_operator_support

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Function Documentation

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Function torch_tensorrt::torchscript::compile

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Function Documentation

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    Function Documentation - +

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Function Documentation

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Function torch_tensorrt::get_build_info

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Function torch_tensorrt::set_device

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Function torch_tensorrt::dump_build_info

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Function torch_tensorrt::torchscript::convert_method_to_trt_engine

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