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11 KiB
JSON
1 line
11 KiB
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{"ast":null,"code":"function ownKeys(e, r) {\n var t = Object.keys(e);\n if (Object.getOwnPropertySymbols) {\n var o = Object.getOwnPropertySymbols(e);\n r && (o = o.filter(function (r) {\n return Object.getOwnPropertyDescriptor(e, r).enumerable;\n })), t.push.apply(t, o);\n }\n return t;\n}\nfunction _objectSpread(e) {\n for (var r = 1; r < arguments.length; r++) {\n var t = null != arguments[r] ? arguments[r] : {};\n r % 2 ? ownKeys(Object(t), !0).forEach(function (r) {\n _defineProperty(e, r, t[r]);\n }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) {\n Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r));\n });\n }\n return e;\n}\nfunction _defineProperty(obj, key, value) {\n key = _toPropertyKey(key);\n if (key in obj) {\n Object.defineProperty(obj, key, {\n value: value,\n enumerable: true,\n configurable: true,\n writable: true\n });\n } else {\n obj[key] = value;\n }\n return obj;\n}\nfunction _toPropertyKey(t) {\n var i = _toPrimitive(t, \"string\");\n return \"symbol\" == typeof i ? i : i + \"\";\n}\nfunction _toPrimitive(t, r) {\n if (\"object\" != typeof t || !t) return t;\n var e = t[Symbol.toPrimitive];\n if (void 0 !== e) {\n var i = e.call(t, r || \"default\");\n if (\"object\" != typeof i) return i;\n throw new TypeError(\"@@toPrimitive must return a primitive value.\");\n }\n return (\"string\" === r ? String : Number)(t);\n}\n/**\n * @typedef {Object} StateDefinitions\n * @property {{[event: string]: { target: string; actions?: Array<string> }}} [on]\n */\n\n/**\n * @typedef {Object} Options\n * @property {{[state: string]: StateDefinitions}} states\n * @property {object} context;\n * @property {string} initial\n */\n\n/**\n * @typedef {Object} Implementation\n * @property {{[actionName: string]: (ctx: object, event: any) => object}} actions\n */\n\n/**\n * A simplified `createMachine` from `@xstate/fsm` with the following differences:\n *\n * - the returned machine is technically a \"service\". No `interpret(machine).start()` is needed.\n * - the state definition only support `on` and target must be declared with { target: 'nextState', actions: [] } explicitly.\n * - event passed to `send` must be an object with `type` property.\n * - actions implementation will be [assign action](https://xstate.js.org/docs/guides/context.html#assign-action) if you return any value.\n * Do not return anything if you just want to invoke side effect.\n *\n * The goal of this custom function is to avoid installing the entire `'xstate/fsm'` package, while enabling modeling using\n * state machine. You can copy the first parameter into the editor at https://stately.ai/viz to visualize the state machine.\n *\n * @param {Options} options\n * @param {Implementation} implementation\n */\nfunction createMachine(_ref, _ref2) {\n var states = _ref.states,\n context = _ref.context,\n initial = _ref.initial;\n var actions = _ref2.actions;\n var currentState = initial;\n var currentContext = context;\n return {\n send: function send(event) {\n var currentStateOn = states[currentState].on;\n var transitionConfig = currentStateOn && currentStateOn[event.type];\n if (transitionConfig) {\n currentState = transitionConfig.target;\n if (transitionConfig.actions) {\n transitionConfig.actions.forEach(function (actName) {\n var actionImpl = actions[actName];\n var nextContextValue = actionImpl && actionImpl(currentContext, event);\n if (nextContextValue) {\n currentContext = _objectSpread(_objectSpread({}, currentContext), nextContextValue);\n }\n });\n }\n }\n }\n };\n}\nexport default createMachine;","map":{"version":3,"names":["ownKeys","e","r","t","Object","keys","getOwnPropertySymbols","o","filter","getOwnPropertyDescriptor","enumerable","push","apply","_objectSpread","arguments","length","forEach",
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