- @actions/core - glob - screeps-api Reviewed-on: #20 Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de> Co-committed-by: Philipp Horstenkamp <philipp@horstenkamp.de>
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The ISC License
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Copyright (c) 2010-2023 Isaac Z. Schlueter and Contributors
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Permission to use, copy, modify, and/or distribute this software for any
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purpose with or without fee is hereby granted, provided that the above
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copyright notice and this permission notice appear in all copies.
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THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
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WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
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MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
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ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
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WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
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ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
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IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
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# lru-cache
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A cache object that deletes the least-recently-used items.
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Specify a max number of the most recently used items that you
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want to keep, and this cache will keep that many of the most
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recently accessed items.
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This is not primarily a TTL cache, and does not make strong TTL
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guarantees. There is no preemptive pruning of expired items by
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default, but you _may_ set a TTL on the cache or on a single
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`set`. If you do so, it will treat expired items as missing, and
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delete them when fetched. If you are more interested in TTL
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caching than LRU caching, check out
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[@isaacs/ttlcache](http://npm.im/@isaacs/ttlcache).
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As of version 7, this is one of the most performant LRU
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implementations available in JavaScript, and supports a wide
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diversity of use cases. However, note that using some of the
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features will necessarily impact performance, by causing the
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cache to have to do more work. See the "Performance" section
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below.
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## Installation
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```bash
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npm install lru-cache --save
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```
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## Usage
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```js
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// hybrid module, either works
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import { LRUCache } from 'lru-cache'
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// or:
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const { LRUCache } = require('lru-cache')
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// or in minified form for web browsers:
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import { LRUCache } from 'http://unpkg.com/lru-cache@9/dist/mjs/index.min.mjs'
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// At least one of 'max', 'ttl', or 'maxSize' is required, to prevent
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// unsafe unbounded storage.
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//
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// In most cases, it's best to specify a max for performance, so all
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// the required memory allocation is done up-front.
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//
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// All the other options are optional, see the sections below for
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// documentation on what each one does. Most of them can be
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// overridden for specific items in get()/set()
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const options = {
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max: 500,
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// for use with tracking overall storage size
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maxSize: 5000,
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sizeCalculation: (value, key) => {
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return 1
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},
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// for use when you need to clean up something when objects
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// are evicted from the cache
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dispose: (value, key, reason) => {
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freeFromMemoryOrWhatever(value)
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},
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// for use when you need to know that an item is being inserted
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// note that this does NOT allow you to prevent the insertion,
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// it just allows you to know about it.
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onInsert: (value, key, reason) => {
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logInsertionOrWhatever(key, value)
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},
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// how long to live in ms
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ttl: 1000 * 60 * 5,
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// return stale items before removing from cache?
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allowStale: false,
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updateAgeOnGet: false,
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updateAgeOnHas: false,
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// async method to use for cache.fetch(), for
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// stale-while-revalidate type of behavior
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fetchMethod: async (
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key,
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staleValue,
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{ options, signal, context }
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) => {},
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}
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const cache = new LRUCache(options)
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cache.set('key', 'value')
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cache.get('key') // "value"
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// non-string keys ARE fully supported
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// but note that it must be THE SAME object, not
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// just a JSON-equivalent object.
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var someObject = { a: 1 }
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cache.set(someObject, 'a value')
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// Object keys are not toString()-ed
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cache.set('[object Object]', 'a different value')
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assert.equal(cache.get(someObject), 'a value')
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// A similar object with same keys/values won't work,
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// because it's a different object identity
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assert.equal(cache.get({ a: 1 }), undefined)
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cache.clear() // empty the cache
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```
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If you put more stuff in the cache, then less recently used items
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will fall out. That's what an LRU cache is.
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For full description of the API and all options, please see [the
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LRUCache typedocs](https://isaacs.github.io/node-lru-cache/)
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## Storage Bounds Safety
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This implementation aims to be as flexible as possible, within
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the limits of safe memory consumption and optimal performance.
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At initial object creation, storage is allocated for `max` items.
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If `max` is set to zero, then some performance is lost, and item
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count is unbounded. Either `maxSize` or `ttl` _must_ be set if
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`max` is not specified.
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If `maxSize` is set, then this creates a safe limit on the
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maximum storage consumed, but without the performance benefits of
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pre-allocation. When `maxSize` is set, every item _must_ provide
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a size, either via the `sizeCalculation` method provided to the
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constructor, or via a `size` or `sizeCalculation` option provided
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to `cache.set()`. The size of every item _must_ be a positive
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integer.
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If neither `max` nor `maxSize` are set, then `ttl` tracking must
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be enabled. Note that, even when tracking item `ttl`, items are
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_not_ preemptively deleted when they become stale, unless
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`ttlAutopurge` is enabled. Instead, they are only purged the
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next time the key is requested. Thus, if `ttlAutopurge`, `max`,
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and `maxSize` are all not set, then the cache will potentially
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grow unbounded.
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In this case, a warning is printed to standard error. Future
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versions may require the use of `ttlAutopurge` if `max` and
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`maxSize` are not specified.
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If you truly wish to use a cache that is bound _only_ by TTL
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expiration, consider using a `Map` object, and calling
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`setTimeout` to delete entries when they expire. It will perform
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much better than an LRU cache.
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Here is an implementation you may use, under the same
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[license](./LICENSE) as this package:
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```js
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// a storage-unbounded ttl cache that is not an lru-cache
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const cache = {
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data: new Map(),
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timers: new Map(),
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set: (k, v, ttl) => {
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if (cache.timers.has(k)) {
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clearTimeout(cache.timers.get(k))
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}
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cache.timers.set(
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k,
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setTimeout(() => cache.delete(k), ttl)
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)
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cache.data.set(k, v)
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},
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get: k => cache.data.get(k),
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has: k => cache.data.has(k),
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delete: k => {
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if (cache.timers.has(k)) {
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clearTimeout(cache.timers.get(k))
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}
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cache.timers.delete(k)
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return cache.data.delete(k)
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},
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clear: () => {
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cache.data.clear()
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for (const v of cache.timers.values()) {
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clearTimeout(v)
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}
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cache.timers.clear()
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},
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}
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```
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If that isn't to your liking, check out
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[@isaacs/ttlcache](http://npm.im/@isaacs/ttlcache).
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## Storing Undefined Values
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This cache never stores undefined values, as `undefined` is used
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internally in a few places to indicate that a key is not in the
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cache.
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You may call `cache.set(key, undefined)`, but this is just
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an alias for `cache.delete(key)`. Note that this has the effect
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that `cache.has(key)` will return _false_ after setting it to
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undefined.
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```js
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cache.set(myKey, undefined)
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cache.has(myKey) // false!
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```
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If you need to track `undefined` values, and still note that the
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key is in the cache, an easy workaround is to use a sigil object
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of your own.
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```js
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import { LRUCache } from 'lru-cache'
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const undefinedValue = Symbol('undefined')
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const cache = new LRUCache(...)
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const mySet = (key, value) =>
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cache.set(key, value === undefined ? undefinedValue : value)
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const myGet = (key, value) => {
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const v = cache.get(key)
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return v === undefinedValue ? undefined : v
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}
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```
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## Performance
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As of January 2022, version 7 of this library is one of the most
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performant LRU cache implementations in JavaScript.
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Benchmarks can be extremely difficult to get right. In
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particular, the performance of set/get/delete operations on
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objects will vary _wildly_ depending on the type of key used. V8
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is highly optimized for objects with keys that are short strings,
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especially integer numeric strings. Thus any benchmark which
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tests _solely_ using numbers as keys will tend to find that an
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object-based approach performs the best.
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Note that coercing _anything_ to strings to use as object keys is
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unsafe, unless you can be 100% certain that no other type of
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value will be used. For example:
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```js
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const myCache = {}
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const set = (k, v) => (myCache[k] = v)
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const get = k => myCache[k]
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set({}, 'please hang onto this for me')
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set('[object Object]', 'oopsie')
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```
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Also beware of "Just So" stories regarding performance. Garbage
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collection of large (especially: deep) object graphs can be
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incredibly costly, with several "tipping points" where it
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increases exponentially. As a result, putting that off until
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later can make it much worse, and less predictable. If a library
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performs well, but only in a scenario where the object graph is
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kept shallow, then that won't help you if you are using large
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objects as keys.
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In general, when attempting to use a library to improve
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performance (such as a cache like this one), it's best to choose
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an option that will perform well in the sorts of scenarios where
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you'll actually use it.
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This library is optimized for repeated gets and minimizing
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eviction time, since that is the expected need of a LRU. Set
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operations are somewhat slower on average than a few other
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options, in part because of that optimization. It is assumed
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that you'll be caching some costly operation, ideally as rarely
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as possible, so optimizing set over get would be unwise.
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If performance matters to you:
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1. If it's at all possible to use small integer values as keys,
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and you can guarantee that no other types of values will be
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used as keys, then do that, and use a cache such as
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[lru-fast](https://npmjs.com/package/lru-fast), or
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[mnemonist's
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LRUCache](https://yomguithereal.github.io/mnemonist/lru-cache)
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which uses an Object as its data store.
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2. Failing that, if at all possible, use short non-numeric
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strings (ie, less than 256 characters) as your keys, and use
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[mnemonist's
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LRUCache](https://yomguithereal.github.io/mnemonist/lru-cache).
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3. If the types of your keys will be anything else, especially
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long strings, strings that look like floats, objects, or some
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mix of types, or if you aren't sure, then this library will
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work well for you.
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If you do not need the features that this library provides
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(like asynchronous fetching, a variety of TTL staleness
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options, and so on), then [mnemonist's
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LRUMap](https://yomguithereal.github.io/mnemonist/lru-map) is
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a very good option, and just slightly faster than this module
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(since it does considerably less).
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4. Do not use a `dispose` function, size tracking, or especially
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ttl behavior, unless absolutely needed. These features are
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convenient, and necessary in some use cases, and every attempt
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has been made to make the performance impact minimal, but it
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isn't nothing.
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## Breaking Changes in Version 7
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This library changed to a different algorithm and internal data
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structure in version 7, yielding significantly better
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performance, albeit with some subtle changes as a result.
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If you were relying on the internals of LRUCache in version 6 or
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before, it probably will not work in version 7 and above.
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## Breaking Changes in Version 8
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- The `fetchContext` option was renamed to `context`, and may no
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longer be set on the cache instance itself.
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- Rewritten in TypeScript, so pretty much all the types moved
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around a lot.
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- The AbortController/AbortSignal polyfill was removed. For this
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reason, **Node version 16.14.0 or higher is now required**.
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- Internal properties were moved to actual private class
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properties.
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- Keys and values must not be `null` or `undefined`.
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- Minified export available at `'lru-cache/min'`, for both CJS
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and MJS builds.
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## Breaking Changes in Version 9
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- Named export only, no default export.
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- AbortController polyfill returned, albeit with a warning when
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used.
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## Breaking Changes in Version 10
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- `cache.fetch()` return type is now `Promise<V | undefined>`
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instead of `Promise<V | void>`. This is an irrelevant change
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practically speaking, but can require changes for TypeScript
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users.
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For more info, see the [change log](CHANGELOG.md).
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|
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//# sourceMappingURL=index.min.js.map
|
||||
+7
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||||
{
|
||||
"version": 3,
|
||||
"sources": ["../../src/index.ts"],
|
||||
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|
||||
}
|
||||
+3
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"type": "commonjs"
|
||||
}
|
||||
+1306
File diff suppressed because it is too large.
Load diff
+1
@@ -0,0 +1 @@
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|
||||
//# sourceMappingURL=index.min.js.map
|
||||
+7
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"version": 3,
|
||||
"sources": ["../../src/index.ts"],
|
||||
"sourcesContent": ["/**\n * @module LRUCache\n */\n\n// module-private names and types\ntype Perf = { now: () => number }\nconst perf: Perf =\n typeof performance === 'object' &&\n performance &&\n typeof performance.now === 'function'\n ? performance\n : Date\n\nconst warned = new Set<string>()\n\n// either a function or a class\ntype ForC = ((...a: any[]) => any) | { new (...a: any[]): any }\n\n/* c8 ignore start */\nconst PROCESS = (\n typeof process === 'object' && !!process ? process : {}\n) as { [k: string]: any }\n/* c8 ignore start */\n\nconst emitWarning = (\n msg: string,\n type: string,\n code: string,\n fn: ForC\n) => {\n typeof PROCESS.emitWarning === 'function'\n ? PROCESS.emitWarning(msg, type, code, fn)\n : console.error(`[${code}] ${type}: ${msg}`)\n}\n\nlet AC = globalThis.AbortController\nlet AS = globalThis.AbortSignal\n\n/* c8 ignore start */\nif (typeof AC === 'undefined') {\n //@ts-ignore\n AS = class AbortSignal {\n onabort?: (...a: any[]) => any\n _onabort: ((...a: any[]) => any)[] = []\n reason?: any\n aborted: boolean = false\n addEventListener(_: string, fn: (...a: any[]) => any) {\n this._onabort.push(fn)\n }\n }\n //@ts-ignore\n AC = class AbortController {\n constructor() {\n warnACPolyfill()\n }\n signal = new AS()\n abort(reason: any) {\n if (this.signal.aborted) return\n //@ts-ignore\n this.signal.reason = reason\n //@ts-ignore\n this.signal.aborted = true\n //@ts-ignore\n for (const fn of this.signal._onabort) {\n fn(reason)\n }\n this.signal.onabort?.(reason)\n }\n }\n let printACPolyfillWarning =\n PROCESS.env?.LRU_CACHE_IGNORE_AC_WARNING !== '1'\n const warnACPolyfill = () => {\n if (!printACPolyfillWarning) return\n printACPolyfillWarning = false\n emitWarning(\n 'AbortController is not defined. If using lru-cache in ' +\n 'node 14, load an AbortController polyfill from the ' +\n '`node-abort-controller` package. A minimal polyfill is ' +\n 'provided for use by LRUCache.fetch(), but it should not be ' +\n 'relied upon in other contexts (eg, passing it to other APIs that ' +\n 'use AbortController/AbortSignal might have undesirable effects). ' +\n 'You may disable this with LRU_CACHE_IGNORE_AC_WARNING=1 in the env.',\n 'NO_ABORT_CONTROLLER',\n 'ENOTSUP',\n warnACPolyfill\n )\n }\n}\n/* c8 ignore stop */\n\nconst shouldWarn = (code: string) => !warned.has(code)\n\nconst TYPE = Symbol('type')\nexport type PosInt = number & { [TYPE]: 'Positive Integer' }\nexport type Index = number & { [TYPE]: 'LRUCache Index' }\n\nconst isPosInt = (n: any): n is PosInt =>\n n && n === Math.floor(n) && n > 0 && isFinite(n)\n\nexport type UintArray = Uint8Array | Uint16Array | Uint32Array\nexport type NumberArray = UintArray | number[]\n\n/* c8 ignore start */\n// This is a little bit ridiculous, tbh.\n// The maximum array length is 2^32-1 or thereabouts on most JS impls.\n// And well before that point, you're caching the entire world, I mean,\n// that's ~32GB of just integers for the next/prev links, plus whatever\n// else to hold that many keys and values. Just filling the memory with\n// zeroes at init time is brutal when you get that big.\n// But why not be complete?\n// Maybe in the future, these limits will have expanded.\nconst getUintArray = (max: number) =>\n !isPosInt(max)\n ? null\n : max <= Math.pow(2, 8)\n ? Uint8Array\n : max <= Math.pow(2, 16)\n ? Uint16Array\n : max <= Math.pow(2, 32)\n ? Uint32Array\n : max <= Number.MAX_SAFE_INTEGER\n ? ZeroArray\n : null\n/* c8 ignore stop */\n\nclass ZeroArray extends Array<number> {\n constructor(size: number) {\n super(size)\n this.fill(0)\n }\n}\nexport type { ZeroArray }\nexport type { Stack }\n\nexport type StackLike = Stack | Index[]\nclass Stack {\n heap: NumberArray\n length: number\n // private constructor\n static #constructing: boolean = false\n static create(max: number): StackLike {\n const HeapCls = getUintArray(max)\n if (!HeapCls) return []\n Stack.#constructing = true\n const s = new Stack(max, HeapCls)\n Stack.#constructing = false\n return s\n }\n constructor(\n max: number,\n HeapCls: { new (n: number): NumberArray }\n ) {\n /* c8 ignore start */\n if (!Stack.#constructing) {\n throw new TypeError('instantiate Stack using Stack.create(n)')\n }\n /* c8 ignore stop */\n this.heap = new HeapCls(max)\n this.length = 0\n }\n push(n: Index) {\n this.heap[this.length++] = n\n }\n pop(): Index {\n return this.heap[--this.length] as Index\n }\n}\n\n/**\n * Promise representing an in-progress {@link LRUCache#fetch} call\n */\nexport type BackgroundFetch<V> = Promise<V | undefined> & {\n __returned: BackgroundFetch<V> | undefined\n __abortController: AbortController\n __staleWhileFetching: V | undefined\n}\n\nexport typLine truncated
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|
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|
||||
}
|
||||
+3
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"type": "module"
|
||||
}
|
||||
+112
@@ -0,0 +1,112 @@
|
||||
{
|
||||
"name": "lru-cache",
|
||||
"description": "A cache object that deletes the least-recently-used items.",
|
||||
"version": "11.1.0",
|
||||
"author": "Isaac Z. Schlueter <i@izs.me>",
|
||||
"keywords": [
|
||||
"mru",
|
||||
"lru",
|
||||
"cache"
|
||||
],
|
||||
"sideEffects": false,
|
||||
"scripts": {
|
||||
"build": "npm run prepare",
|
||||
"prepare": "tshy && bash fixup.sh",
|
||||
"pretest": "npm run prepare",
|
||||
"presnap": "npm run prepare",
|
||||
"test": "tap",
|
||||
"snap": "tap",
|
||||
"preversion": "npm test",
|
||||
"postversion": "npm publish",
|
||||
"prepublishOnly": "git push origin --follow-tags",
|
||||
"format": "prettier --write .",
|
||||
"typedoc": "typedoc --tsconfig ./.tshy/esm.json ./src/*.ts",
|
||||
"benchmark-results-typedoc": "bash scripts/benchmark-results-typedoc.sh",
|
||||
"prebenchmark": "npm run prepare",
|
||||
"benchmark": "make -C benchmark",
|
||||
"preprofile": "npm run prepare",
|
||||
"profile": "make -C benchmark profile"
|
||||
},
|
||||
"main": "./dist/commonjs/index.js",
|
||||
"types": "./dist/commonjs/index.d.ts",
|
||||
"tshy": {
|
||||
"exports": {
|
||||
".": "./src/index.ts",
|
||||
"./min": {
|
||||
"import": {
|
||||
"types": "./dist/esm/index.d.ts",
|
||||
"default": "./dist/esm/index.min.js"
|
||||
},
|
||||
"require": {
|
||||
"types": "./dist/commonjs/index.d.ts",
|
||||
"default": "./dist/commonjs/index.min.js"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git://github.com/isaacs/node-lru-cache.git"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^22.5.4",
|
||||
"benchmark": "^2.1.4",
|
||||
"esbuild": "^0.25.1",
|
||||
"marked": "^4.2.12",
|
||||
"mkdirp": "^3.0.1",
|
||||
"prettier": "^3.5.3",
|
||||
"tap": "^21.1.0",
|
||||
"tshy": "^3.0.2",
|
||||
"typedoc": "^0.28.1"
|
||||
},
|
||||
"license": "ISC",
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"engines": {
|
||||
"node": "20 || >=22"
|
||||
},
|
||||
"prettier": {
|
||||
"semi": false,
|
||||
"printWidth": 70,
|
||||
"tabWidth": 2,
|
||||
"useTabs": false,
|
||||
"singleQuote": true,
|
||||
"jsxSingleQuote": false,
|
||||
"bracketSameLine": true,
|
||||
"arrowParens": "avoid",
|
||||
"endOfLine": "lf"
|
||||
},
|
||||
"tap": {
|
||||
"node-arg": [
|
||||
"--expose-gc"
|
||||
],
|
||||
"plugin": [
|
||||
"@tapjs/clock"
|
||||
]
|
||||
},
|
||||
"exports": {
|
||||
".": {
|
||||
"import": {
|
||||
"types": "./dist/esm/index.d.ts",
|
||||
"default": "./dist/esm/index.js"
|
||||
},
|
||||
"require": {
|
||||
"types": "./dist/commonjs/index.d.ts",
|
||||
"default": "./dist/commonjs/index.js"
|
||||
}
|
||||
},
|
||||
"./min": {
|
||||
"import": {
|
||||
"types": "./dist/esm/index.d.ts",
|
||||
"default": "./dist/esm/index.min.js"
|
||||
},
|
||||
"require": {
|
||||
"types": "./dist/commonjs/index.d.ts",
|
||||
"default": "./dist/commonjs/index.min.js"
|
||||
}
|
||||
}
|
||||
},
|
||||
"type": "module",
|
||||
"module": "./dist/esm/index.js"
|
||||
}
|
||||
Reference in new issue
Block a user