@rimbu/proximity
v2.0.3
Published
Immutable ProximityMap implementation for TypeScript
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@rimbu/proximity
This package contains all Rimbu proximity-based collections - especially the ProximityMap
type. The collections use a configurable DistanceFunction
to determine the proximity of values/objects.
This package exports the following main types:
| Name | Description |
| -------------------- | --------------------------------------------------------------------------------------------------- |
| ProximityMap<K, V>
| a map with entries of key type K and value type V, where keys are compared via a DistanceFunction
|
For complete documentation please visit the Map page Rimbu Docs, or directly see the Rimbu Proximity API Docs.
Or Try Out Rimbu in CodeSandBox.
Installation
Compabitity
Yarn / NPM / Bun
To install this package only:
For yarn
:
yarn add @rimbu/proximity
For npm
:
npm i @rimbu/proximity
For bun
:
bun add @rimbu/proximity
Deno
For Deno, the following approach is recommended:
In the root folder of your project, create or edit a file called import_map.json
with the following contents (where you should replace x.y.z
with the desired version of Rimbu):
{
"imports": {
"@rimbu/": "https://deno.land/x/[email protected]/"
}
}
Note: The trailing slashes are important!
In this way you can use relative imports from Rimbu in your code, like so:
import { List } from '@rimbu/core/mod.ts';
import { ProximityMap } from '@rimbu/proximity/mod.ts';
Note that for sub-packages, due to conversion limitations it is needed to import the index.ts
instead of mod.ts
, like so:
import { ProximityMap } from '@rimbu/proximity/map/index.ts';
To run your script (let's assume the entry point is in src/main.ts
):
deno run --import-map import_map.json src/main.ts
Usage
import { ProximityMap } from '@rimbu/proximity';
console.log(
ProximityMap.from([
[1, 'A'],
[2, 'B'],
]).toString()
);
Author
Contributing
Feel very welcome to contribute to further improve Rimbu. Please read our Contributing guide.
Contributors
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License
Licensed under the MIT License, Copyright © 2020-present Arvid Nicolaas.
See LICENSE for more information.