Almost got my manhood out at work.

There I was in deep thought needing the toilet but wanted to get a coffee first. So I get up go to the kitchen and catch myself next to the bin unzipping.

I can relate hahaha

Looks like unzipping on disk drive where you keep your dataset can crash machine learning training session.
Thanks nvidia for your great drivers.
I like your solutions.

I've been working with Node and Typescript for a while now, and I wrote a wide array of very general utility functions. Examples include:
- Array.filter but you also get the residue array, it can also leave holes in both arrays if you want to join them later
- Array zipping and unzipping to and from tuples (especially valuable when you're manipulating the prop set with Object.entries() in a HOC
- Array maximum selection, with an optional mapper
- Cancelable promises, lazy promises, a promise that resolves when a given function on an object is called (excellent for DOM events), a timeout promise.
- A typed event with both immediate and microtask listeners depending on whether you need state guarantees (this idea I took from a Github gist and upgraded it)

I want to put them on NPM so I don't have to write them and their tests again, and so that if I ever think of an improvement it's easier to propagate it. Do you think I should release them as tiny individual packages which would be nice from a versioning standpoint, or should I make them into a compilation which would be a lot less work for me (and therefore would probably result in better documentation and more tests)?

Not enough disk space error..just when I am done writing code and unzipping the bigger dataset.

Angry me.

Hours later.. Now mounted 200Gigs to machine.

Feels like a boss.!