ncc | Neural Code Comprehension : A Learnable Representation | Machine Learning library

I have a website that I'm doing where one page flashes a Layout Shift on visiting another page. No other page does this, and I'm not sure how to figure it out. If somebody has some Framer Motion insight they'd like to share with me on how to troubleshoot this, I'd be most grateful. I've also found out that when it's in development it doesn't happen, but when I deploy to production, it does.

The page: https://krista-doubleday--preview-apq5vrih.web.app/contact

Here is the code for that page:

I am trying to setup a github actions bot that uses composite to build when the action runs. Notably, this isn't required, and I know that ncc would also achieve the same thing, but I'm curious if it's possible to make this work in a sustainable way.

For some context, I'm trying to run my alita-moore/EIP-Bot private action with the yaml script being...

I am trying to print out values from my txt file. I created a struct so that I can easily search for the element in the txt file. So for my first for loop I searched for "CC" as the first option and then I print. It works. However when I try copy the same loop and search for something else, lets say "SN" so that I can print all the values with SN as the first option, the second and subsequent loop does not print. It only works if I copy the long code again and create a new function but I do not want to do that because I try to keep it compact.

I want to reduce the vector of my program. Basically print out lesser values. For example, I manage to search for what I need but I cannot reduce it. I searched for first choice as CC and got it. I also manage to sort it by GPA. It gave me 5 outputs which is correct but I only need 3 with the highest GPA. I don't know whether that is possible with my method.

This is a snippet of my my txt file:

The sequence is First,Second,Third,GPA,Name

I have a lambda (nodeJs) that reads a file (.ref) in a S3 bucket and publishes its content in a topic inside the AWS IoT-Core broker. The file contains something like this (50 lines):

I get the response message from jmeter5.3.

Consider the excel file as given:

I want to plot an interactive line plot using the Normalize_Nifty Values for a particular date based on a particular symbol. For this I am using the ipywidgets. I have successfully created a dropdown containing a list of Symbol. Here is the code for the same:

guys. I am writing a piece of code, which generates aminoacid sequences. It has two identical loops - the first one works fine, while the other one gives me the "ValueError: could not convert string to float: '' ". Now, I tried debuggin it, setting everything as string, but it still doesn't work. The code is as follows:

I'm doing a custom GitHub Action for the Marketplace, to make it easier to use in other projects.

The Action is made with TypeScript, and uses some packages, like typescript, babel (edit: don't use babel anymore), @actions/core and @actions/github.

When I add the Action to the workflow of another project, he can install the packages and build the project, even initialize it, but when the execution starts, he cannot find the @actions modules and the core of @actions/core is undefined (@actions/core is the first package to be used, because of this, it crashed the pipeline).

The node_modules folder is correctly created and the packages are inside it, but inside the script, they don't are loaded.

When I try to run the built version (both builder version, the one with ncc and the one with tsc) on my machine, this same error happens: