unique-string | Generate a unique random string | Runtime Evironment library

I have a few radio buttons and I would like to generate dynamic state by setting the state with the first initial click, then every click after either concatenating the state onto the current state or replacing the key with a new value if it already exists.

I have attempted it by myself, so excuse myself if it doesn't look right at all.

Here is a sample of what I am trying to do.

I have a BaseSchema in Node.js for using the MongoDB.

I have managed to solve this exercise from the codewars website using the following code

I am building audio recorder app. Problem is i want to generate unique name for audio like audio_1.wav,audio_2.wav and so on to avoid replacing of new audio with old one. Maybe my question seems to be duplicate of this but what i want is different. i want my files name in order of audio1.wav, audio2.wav and so on.

Working with dirty data where many strings are truncated. Would like to create a new variable with the longest un-truncated string.

Example input:

I see this on two different machines. When I navigate to the folder that contains my package.json file and execute the command yarn list, it lists a bunch of packages that I haven't installed. If I execute the command yarn check then it complains that most of the packages aren't installed.

So, what changed since the last time this worked correctly? Where is yarn finding all of the extraneous packages, and how do I convince it that they really aren't there?

Here are all of the relevant files in my project directory:

package.json

I'm trying to run a load test on my AeroGear UnifiedPush Server running on CentOS 7 using the guide provided here. I did this once on my ubuntu desktop machine and everything worked well. However, I get syntax error while trying to run artillery.

Here's the result of installation:

This is a follow up to this question

How to map a unique number to each unique string in a column of lists

Which asks how to map a unique number to items across multiple pandas columns containing lists.

The solution given seems to be very slow when the number of items (total of items in column A and column B) is in the range of ~40 million. I have found some ways that can assign unique numbers to datasets for ~40 million items faster, but none quite for the situation of multiple columns , one of which contains a list.

Here was the minimal example and solution from the link above:

Setting up the dataframe

This question has been edited to add sample data and clean-up (hopefully) some unnecessary steps per feedback.

I am starting with longitudinal data in wide format. I need to subset, reshape, and perform summary steps for multiple different chunks of data. I want to create macro variables with varlists needed for reshaping and other repetitive steps in wide and long format. The variables being reshaped follow a consistent naming pattern of (prefix)_(name)_#. There are also variables following the same pattern that do not need to be reshaped, and variables that are time-invariant and follow other naming conventions. To generate sample data: