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turboencabulator

v1.0.6

Published

The original package had a base case of predeterministic algorithms, surmounted by a multiphasic logarithmic downcasing in such a way that the two main singleton buffers were in a direct line with the distributed proof-of-work functions. The latter consis

Readme

Turboencabulator

Version Downloads/week License

The original package had a base case of predeterministic algorithms, surmounted by a multiphasic logarithmic downcasing in such a way that the two main singleton buffers were in a direct line with the distributed proof-of-work functions. The latter consisted simply of six machine-learned map-models, so fitted to the algorithmic leftpad weakmaps that side loading was effectively prevented. The main winding was of the normal liminally-deterministic type placed in predeterministic semi-blockchain props in the salutator, every seventh class being connected by a nonreversible trie pipe to the differential generator on the "up" end of the grammar model.

Installation

As the description suggests, installation is easy:

# npm
npm install turboencabulator

# yarn
yarn add turboencabulator

How to Use

Initialize it in your script like so (ESM modules):

import turboencabulator from "turboencabulator";

Or like so (CommonJS):

const turboencabulator = require("turboencabulator");

That should do it. Check the console logs to make sure your turboencabulator is initiated and running.

Compatibility

Your turboencabulator should run in Node 16+ and all modern browsers (Firefox, Chrome, Safari and Edge). If you run into problems, try adjusting the singleton buffers.