swarming | Ping from everywhere | Runtime Evironment library

I was wondering is it possible to run locust distributed on the local machine? I mean to create slaves and master locally. I tried next:

Master:

First time using Locust. I have a Flask App that requires user to login to access most routes. I cant get Locust to successfully login to my Flask App.

Here is my Locust.py file:

In April 2019, I already make an question custom dictionary, furthermore, I already improved to like a class.

My problem now, My code is already reusable or not? because when adding new data using behavior i should repeat this one:

Lets say I have 10000 tasks at hand. How can I process them in parallel, running precisely 8 processes at any time? The moment a task is finished, the next task should be fetched for execution immediately.

This question became really long; I welcome comments suggesting better forums for this question.

I am modelling the swarming behavior of birds. To help me organize my thoughts, I created three protocols representing the main domain concepts I saw: Boid, Flock (collection of boids), and Vector.

As I thought more about it, I realized that I was creating new types to represent Boid and Flock when those could be very cleanly modeled using spec'd maps: A boid is a simple map of position and velocity (both vectors), and a flock is a collection of boid maps. Clean, concise, and simple, and eliminated my custom types in favor of all the power of maps and clojure.spec.

I am working on a script where I need to calculate the coordinates for a beeswarm plot without immediately plotting. When I use beeswarm, I get x-coordinates that aren't swarmed, and more or less the same value:

But if I generate the same plot again it swarms correctly:

And if I use dev.off() I again get no swarming:

The code I used:

I'm trying to use hyperdb in browser with swarming via webrtc and signalhub. The code is pretty strait forward, but there is some issue with hyperdb replicate where the connecting is killed because of a sameKey check in hypercore. So, I'm thinking ... I'm not properly juggling my discovery keys and id keys so the peers know they should be sync'd. Here is some sample code, it is a bit of a mess but the relevant bits are the hyperdb initialization and the webrtc/signalhub stuff (I think) ... the key at the top is the discovery key of the other peer:

I found myself writing some tricky algorithmic code, and I tried to comment it as well as I could since I really do not know who is going to maintain this part of the code.
Following this idea, I've wrote quite a lot of block and inline comments, also trying not to over-comment it. But still, when I go back to the code I wrote a week ago, I find it difficult to read because of the swarming presence of the comments, especially the inline ones. I though that indenting them (to ~120char) could easy the readability, but would obviously make the line way too long according to style standards.

Here's an example of the original code:

To start, if Overflow is not the right Stack site for this, please let me know! Also, if you need to see any other files, please feel free to ask.

I started a sample Visual Studio C#/ASP.NET MVC app to try and put in Docker as a Proof of Concept to see how to configure the two parts to work together. It works locally, but when deployed via Docker it throws an error.