@tldraw/state/dist-esm/lib/Computed.mjs.map

tldraw infinite canvas SDK (state).

{
  "version": 3,
  "sources": ["../../src/lib/Computed.ts"],
  "sourcesContent": ["/* eslint-disable prefer-rest-params */\nimport { assert } from '@tldraw/utils'\nimport { ArraySet } from './ArraySet'\nimport { HistoryBuffer } from './HistoryBuffer'\nimport { maybeCaptureParent, startCapturingParents, stopCapturingParents } from './capture'\nimport { GLOBAL_START_EPOCH } from './constants'\nimport { EMPTY_ARRAY, equals, haveParentsChanged, singleton } from './helpers'\nimport { getGlobalEpoch, getIsReacting, getReactionEpoch } from './transactions'\nimport { Child, ComputeDiff, RESET_VALUE, Signal } from './types'\nimport { logComputedGetterWarning } from './warnings'\n\n/**\n * @public\n */\nexport const UNINITIALIZED = Symbol.for('com.tldraw.state/UNINITIALIZED')\n/**\n * The type of the first value passed to a computed signal function as the 'prevValue' parameter.\n *\n * @see {@link isUninitialized}.\n * @public\n */\nexport type UNINITIALIZED = typeof UNINITIALIZED\n\n/**\n * Call this inside a computed signal function to determine whether it is the first time the function is being called.\n *\n * Mainly useful for incremental signal computation.\n *\n * @example\n * ```ts\n * const count = atom('count', 0)\n * const double = computed('double', (prevValue) => {\n *   if (isUninitialized(prevValue)) {\n *     print('First time!')\n *   }\n *   return count.get() * 2\n * })\n * ```\n *\n * @param value - The value to check.\n * @public\n */\nexport function isUninitialized(value: any): value is UNINITIALIZED {\n\treturn value === UNINITIALIZED\n}\n\n/** @public */\nexport const WithDiff = singleton(\n\t'WithDiff',\n\t() =>\n\t\tclass WithDiff<Value, Diff> {\n\t\t\tconstructor(\n\t\t\t\tpublic value: Value,\n\t\t\t\tpublic diff: Diff\n\t\t\t) {}\n\t\t}\n)\n\n/** @public */\nexport interface WithDiff<Value, Diff> {\n\tvalue: Value\n\tdiff: Diff\n}\n\n/**\n * When writing incrementally-computed signals it is convenient (and usually more performant) to incrementally compute the diff too.\n *\n * You can use this function to wrap the return value of a computed signal function to indicate that the diff should be used instead of calculating a new one with {@link AtomOptions.computeDiff}.\n *\n * @example\n * ```ts\n * const count = atom('count', 0)\n * const double = computed('double', (prevValue) => {\n *   const nextValue = count.get() * 2\n *   if (isUninitialized(prevValue)) {\n *     return nextValue\n *   }\n *   return withDiff(nextValue, nextValue - prevValue)\n * }, { historyLength: 10 })\n * ```\n *\n *\n * @param value - The value.\n * @param diff - The diff.\n * @public\n */\nexport function withDiff<Value, Diff>(value: Value, diff: Diff): WithDiff<Value, Diff> {\n\treturn new WithDiff(value, diff)\n}\n\n/**\n * Options for creating computed signals. Used when calling `computed`.\n * @public\n */\nexport interface ComputedOptions<Value, Diff> {\n\t/**\n\t * The maximum number of diffs to keep in the history buffer.\n\t *\n\t * If you don't need to compute diffs, or if you will supply diffs manually via {@link Atom.set}, you can leave this as `undefined` and no history buffer will be created.\n\t *\n\t * If you expect the value to be part of an active effect subscription all the time, and to not change multiple times inside of a single transaction, you can set this to a relatively low number (e.g. 10).\n\t *\n\t * Otherwise, set this to a higher number based on your usage pattern and memory constraints.\n\t *\n\t */\n\thistoryLength?: number\n\t/**\n\t * A method used to compute a diff between the atom's old and new values. If provided, it will not be used unless you also specify {@link AtomOptions.historyLength}.\n\t */\n\tcomputeDiff?: ComputeDiff<Value, Diff>\n\t/**\n\t * If provided, this will be used to compare the old and new values of the atom to determine if the value has changed.\n\t * By default, values are compared using first using strict equality (`===`), then `Object.is`, and finally any `.equals` method present in the object's prototype chain.\n\t * @param a - The old value\n\t * @param b - The new value\n\t * @returns\n\t */\n\tisEqual?(a: any, b: any): boolean\n}\n\n/**\n * A computed signal created via `computed`.\n *\n * @public\n */\nexport interface Computed<Value, Diff = unknown> extends Signal<Value, Diff> {\n\t/**\n\t * Whether this computed child is involved in an actively-running effect graph.\n\t * @public\n\t */\n\treadonly isActivelyListening: boolean\n\n\t/** @internal */\n\treadonly parentSet: ArraySet<Signal<any, any>>\n\t/** @internal */\n\treadonly parents: Signal<any, any>[]\n\t/** @internal */\n\treadonly parentEpochs: number[]\n}\n\n/**\n * @internal\n */\nclass __UNSAFE__Computed<Value, Diff = unknown> implements Computed<Value, Diff> {\n\tlastChangedEpoch = GLOBAL_START_EPOCH\n\tlastTraversedEpoch = GLOBAL_START_EPOCH\n\n\t__debug_ancestor_epochs__: Map<Signal<any, any>, number> | null = null\n\n\t/**\n\t * The epoch when the reactor was last checked.\n\t */\n\tprivate lastCheckedEpoch = GLOBAL_START_EPOCH\n\n\tparentSet = new ArraySet<Signal<any, any>>()\n\tparents: Signal<any, any>[] = []\n\tparentEpochs: number[] = []\n\n\tchildren = new ArraySet<Child>()\n\n\t// eslint-disable-next-line no-restricted-syntax\n\tget isActivelyListening(): boolean {\n\t\treturn !this.children.isEmpty\n\t}\n\n\thistoryBuffer?: HistoryBuffer<Diff>\n\n\t// The last-computed value of this signal.\n\tprivate state: Value = UNINITIALIZED as unknown as Value\n\t// If the signal throws an error we stash it so we can rethrow it on the next get()\n\tprivate error: null | { thrownValue: any } = null\n\n\tprivate computeDiff?: ComputeDiff<Value, Diff>\n\n\tprivate readonly isEqual: (a: any, b: any) => boolean\n\n\tconstructor(\n\t\t/**\n\t\t * The name of the signal. This is used for debugging and performance profiling purposes. It does not need to be globally unique.\n\t\t */\n\t\tpublic readonly name: string,\n\t\t/**\n\t\t * The function that computes the value of the signal.\n\t\t */\n\t\tprivate readonly derive: (\n\t\t\tpreviousValue: Value | UNINITIALIZED,\n\t\t\tlastComputedEpoch: number\n\t\t) => Value | WithDiff<Value, Diff>,\n\t\toptions?: ComputedOptions<Value, Diff>\n\t) {\n\t\tif (options?.historyLength) {\n\t\t\tthis.historyBuffer = new HistoryBuffer(options.historyLength)\n\t\t}\n\t\tthis.computeDiff = options?.computeDiff\n\t\tthis.isEqual = options?.isEqual ?? equals\n\t}\n\n\t__unsafe__getWithoutCapture(ignoreErrors?: boolean): Value {\n\t\tconst isNew = this.lastChangedEpoch === GLOBAL_START_EPOCH\n\n\t\tconst globalEpoch = getGlobalEpoch()\n\n\t\tif (\n\t\t\t!isNew &&\n\t\t\t(this.lastCheckedEpoch === globalEpoch ||\n\t\t\t\t(this.isActivelyListening &&\n\t\t\t\t\tgetIsReacting() &&\n\t\t\t\t\tthis.lastTraversedEpoch < getReactionEpoch()) ||\n\t\t\t\t!haveParentsChanged(this))\n\t\t) {\n\t\t\tthis.lastCheckedEpoch = globalEpoch\n\t\t\tif (this.error) {\n\t\t\t\tif (!ignoreErrors) {\n\t\t\t\t\tthrow this.error.thrownValue\n\t\t\t\t} else {\n\t\t\t\t\treturn this.state // will be UNINITIALIZED\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\treturn this.state\n\t\t\t}\n\t\t}\n\n\t\ttry {\n\t\t\tstartCapturingParents(this)\n\t\t\tconst result = this.derive(this.state, this.lastCheckedEpoch)\n\t\t\tconst newState = result instanceof WithDiff ? result.value : result\n\t\t\tconst isUninitialized = this.state === UNINITIALIZED\n\t\t\tif (isUninitialized || !this.isEqual(newState, this.state)) {\n\t\t\t\tif (this.historyBuffer && !isUninitialized) {\n\t\t\t\t\tconst diff = result instanceof WithDiff ? result.diff : undefined\n\t\t\t\t\tthis.historyBuffer.pushEntry(\n\t\t\t\t\t\tthis.lastChangedEpoch,\n\t\t\t\t\t\tgetGlobalEpoch(),\n\t\t\t\t\t\tdiff ??\n\t\t\t\t\t\t\tthis.computeDiff?.(this.state, newState, this.lastCheckedEpoch, getGlobalEpoch()) ??\n\t\t\t\t\t\t\tRESET_VALUE\n\t\t\t\t\t)\n\t\t\t\t}\n\t\t\t\tthis.lastChangedEpoch = getGlobalEpoch()\n\t\t\t\tthis.state = newState\n\t\t\t}\n\t\t\tthis.error = null\n\t\t\tthis.lastCheckedEpoch = getGlobalEpoch()\n\n\t\t\treturn this.state\n\t\t} catch (e) {\n\t\t\t// if a derived value throws an error, we reset the state to UNINITIALIZED\n\t\t\tif (this.state !== UNINITIALIZED) {\n\t\t\t\tthis.state = UNINITIALIZED as unknown as Value\n\t\t\t\tthis.lastChangedEpoch = getGlobalEpoch()\n\t\t\t}\n\t\t\tthis.lastCheckedEpoch = getGlobalEpoch()\n\t\t\t// we also clear the history buffer if an error was thrown\n\t\t\tif (this.historyBuffer) {\n\t\t\t\tthis.historyBuffer.clear()\n\t\t\t}\n\t\t\tthis.error = { thrownValue: e }\n\t\t\t// we don't wish to propagate errors when derefed via haveParentsChanged()\n\t\t\tif (!ignoreErrors) throw e\n\t\t\treturn this.state\n\t\t} finally {\n\t\t\tstopCapturingParents()\n\t\t}\n\t}\n\n\tget(): Value {\n\t\ttry {\n\t\t\treturn this.__unsafe__getWithoutCapture()\n\t\t} finally {\n\t\t\t// if the deriver throws an error we still need to capture\n\t\t\tmaybeCaptureParent(this)\n\t\t}\n\t}\n\n\tgetDiffSince(epoch: number): RESET_VALUE | Diff[] {\n\t\t// we can ignore any errors thrown during derive\n\t\tthis.__unsafe__getWithoutCapture(true)\n\t\t// and we still need to capture this signal as a parent\n\t\tmaybeCaptureParent(this)\n\n\t\tif (epoch >= this.lastChangedEpoch) {\n\t\t\treturn EMPTY_ARRAY\n\t\t}\n\n\t\treturn this.historyBuffer?.getChangesSince(epoch) ?? RESET_VALUE\n\t}\n}\n\nexport const _Computed = singleton('Computed', () => __UNSAFE__Computed)\nexport type _Computed = InstanceType<typeof __UNSAFE__Computed>\n\nfunction computedMethodLegacyDecorator(\n\toptions: ComputedOptions<any, any> = {},\n\t_target: any,\n\tkey: string,\n\tdescriptor: PropertyDescriptor\n) {\n\tconst originalMethod = descriptor.value\n\tconst derivationKey = Symbol.for('__@tldraw/state__computed__' + key)\n\n\tdescriptor.value = function (this: any) {\n\t\tlet d = this[derivationKey] as Computed<any> | undefined\n\n\t\tif (!d) {\n\t\t\td = new _Computed(key, originalMethod!.bind(this) as any, options)\n\t\t\tObject.defineProperty(this, derivationKey, {\n\t\t\t\tenumerable: false,\n\t\t\t\tconfigurable: false,\n\t\t\t\twritable: false,\n\t\t\t\tvalue: d,\n\t\t\t})\n\t\t}\n\t\treturn d.get()\n\t}\n\tdescriptor.value[isComputedMethodKey] = true\n\n\treturn descriptor\n}\n\nfunction computedGetterLegacyDecorator(\n\toptions: ComputedOptions<any, any> = {},\n\t_target: any,\n\tkey: string,\n\tdescriptor: PropertyDescriptor\n) {\n\tconst originalMethod = descriptor.get\n\tconst derivationKey = Symbol.for('__@tldraw/state__computed__' + key)\n\n\tdescriptor.get = function (this: any) {\n\t\tlet d = this[derivationKey] as Computed<any> | undefined\n\n\t\tif (!d) {\n\t\t\td = new _Computed(key, originalMethod!.bind(this) as any, options)\n\t\t\tObject.defineProperty(this, derivationKey, {\n\t\t\t\tenumerable: false,\n\t\t\t\tconfigurable: false,\n\t\t\t\twritable: false,\n\t\t\t\tvalue: d,\n\t\t\t})\n\t\t}\n\t\treturn d.get()\n\t}\n\n\treturn descriptor\n}\n\nfunction computedMethodTc39Decorator<This extends object, Value>(\n\toptions: ComputedOptions<Value, any>,\n\tcompute: () => Value,\n\tcontext: ClassMethodDecoratorContext<This, () => Value>\n) {\n\tassert(context.kind === 'method', '@computed can only be used on methods')\n\tconst derivationKey = Symbol.for('__@tldraw/state__computed__' + String(context.name))\n\n\tconst fn = function (this: any) {\n\t\tlet d = this[derivationKey] as Computed<any> | undefined\n\n\t\tif (!d) {\n\t\t\td = new _Computed(String(context.name), compute.bind(this) as any, options)\n\t\t\tObject.defineProperty(this, derivationKey, {\n\t\t\t\tenumerable: false,\n\t\t\t\tconfigurable: false,\n\t\t\t\twritable: false,\n\t\t\t\tvalue: d,\n\t\t\t})\n\t\t}\n\t\treturn d.get()\n\t}\n\tfn[isComputedMethodKey] = true\n\treturn fn\n}\n\nfunction computedDecorator(\n\toptions: ComputedOptions<any, any> = {},\n\targs:\n\t\t| [target: any, key: string, descriptor: PropertyDescriptor]\n\t\t| [originalMethod: () => any, context: ClassMethodDecoratorContext]\n) {\n\tif (args.length === 2) {\n\t\tconst [originalMethod, context] = args\n\t\treturn computedMethodTc39Decorator(options, originalMethod, context)\n\t} else {\n\t\tconst [_target, key, descriptor] = args\n\t\tif (descriptor.get) {\n\t\t\tlogComputedGetterWarning()\n\t\t\treturn computedGetterLegacyDecorator(options, _target, key, descriptor)\n\t\t} else {\n\t\t\treturn computedMethodLegacyDecorator(options, _target, key, descriptor)\n\t\t}\n\t}\n}\n\nconst isComputedMethodKey = '@@__isComputedMethod__@@'\n\n/**\n * Retrieves the underlying computed instance for a given property created with the `computed`\n * decorator.\n *\n * @example\n * ```ts\n * class Counter {\n *   max = 100\n *   count = atom(0)\n *\n *   @computed getRemaining() {\n *     return this.max - this.count.get()\n *   }\n * }\n *\n * const c = new Counter()\n * const remaining = getComputedInstance(c, 'getRemaining')\n * remaining.get() === 100 // true\n * c.count.set(13)\n * remaining.get() === 87 // true\n * ```\n *\n * @param obj - The object\n * @param propertyName - The property name\n * @public\n */\nexport function getComputedInstance<Obj extends object, Prop extends keyof Obj>(\n\tobj: Obj,\n\tpropertyName: Prop\n): Computed<Obj[Prop]> {\n\tconst key = Symbol.for('__@tldraw/state__computed__' + propertyName.toString())\n\tlet inst = obj[key as keyof typeof obj] as Computed<Obj[Prop]> | undefined\n\tif (!inst) {\n\t\t// deref to make sure it exists first\n\t\tconst val = obj[propertyName]\n\t\tif (typeof val === 'function' && (val as any)[isComputedMethodKey]) {\n\t\t\tval.call(obj)\n\t\t}\n\n\t\tinst = obj[key as keyof typeof obj] as Computed<Obj[Prop]> | undefined\n\t}\n\treturn inst as any\n}\n\n/**\n * Creates a computed signal.\n *\n * @example\n * ```ts\n * const name = atom('name', 'John')\n * const greeting = computed('greeting', () => `Hello ${name.get()}!`)\n * console.log(greeting.get()) // 'Hello John!'\n * ```\n *\n * `computed` may also be used as a decorator for creating computed getter methods.\n *\n * @example\n * ```ts\n * class Counter {\n *   max = 100\n *   count = atom<number>(0)\n *\n *   @computed getRemaining() {\n *     return this.max - this.count.get()\n *   }\n * }\n * ```\n *\n * You may optionally pass in a {@link ComputedOptions} when used as a decorator:\n *\n * @example\n * ```ts\n * class Counter {\n *   max = 100\n *   count = atom<number>(0)\n *\n *   @computed({isEqual: (a, b) => a === b})\n *   getRemaining() {\n *     return this.max - this.count.get()\n *   }\n * }\n * ```\n *\n * @param name - The name of the signal.\n * @param compute - The function that computes the value of the signal.\n * @param options - Options for the signal.\n *\n * @public\n */\nexport function computed<Value, Diff = unknown>(\n\tname: string,\n\tcompute: (\n\t\tpreviousValue: Value | typeof UNINITIALIZED,\n\t\tlastComputedEpoch: number\n\t) => Value | WithDiff<Value, Diff>,\n\toptions?: ComputedOptions<Value, Diff>\n): Computed<Value, Diff>\n/**\n * `@computed` decorator (TC39 decorators).\n * @public\n */\nexport function computed<This extends object, Value>(\n\tcompute: () => Value,\n\tcontext: ClassMethodDecoratorContext<This, () => Value>\n): () => Value\n/**\n * `@computed` decorator (legacy typescript decorator syntax).\n *\n * @public */\nexport function computed(\n\ttarget: any,\n\tkey: string,\n\tdescriptor: PropertyDescriptor\n): PropertyDescriptor\n/**\n * `@computed` decorator with options.\n * @public\n */\nexport function computed<Value, Diff = unknown>(\n\toptions?: ComputedOptions<Value, Diff>\n): ((target: any, key: string, descriptor: PropertyDescriptor) => PropertyDescriptor) &\n\t(<This>(\n\t\tcompute: () => Value,\n\t\tcontext: ClassMethodDecoratorContext<This, () => Value>\n\t) => () => Value)\n\n/** @public */\nexport function computed() {\n\tif (arguments.length === 1) {\n\t\tconst options = arguments[0]\n\t\treturn (...args: any) => computedDecorator(options, args)\n\t} else if (typeof arguments[0] === 'string') {\n\t\treturn new _Computed(arguments[0], arguments[1], arguments[2])\n\t} else {\n\t\treturn computedDecorator(undefined, arguments as any)\n\t}\n}\n\n/**\n * Returns true if the given value is a computed signal.\n *\n * @param value\n * @returns {value is Computed<any>}\n * @public\n */\nexport function isComputed(value: any): value is Computed<any> {\n\treturn value && value instanceof _Computed\n}\n"],
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