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I want to fix this below issue in csv file using unix. I don't have access to source so i have to fix with this csv file alone. I need to desired output. is it achievable. Please help.

I have tried this below code but it doesn't work.

I have a MongoDB collection that looks like this:

I am trying to return the array of all the intersected array elements.

I got 2 arrays.

The array from api and the filter condition array.

Array from api is this

I am writing a parser bot for Steam that will keep track of which items come and go from a Steam user's inventory. I wrote a code that gets all the user's items and returns in the form of a dictionary with a nested list, where KEY = USER NAME, VALUE = ITEM NAME AND ITS QUANTITY. Now I need to compare Data1 and Data2 (updated data).

I've got a couple of forms on HTML giving a variable to each other. My plan is to show a sort of "receipt" to display what is being purchased.

I have 2 questions for the following query output:

Within bootstrap container I would like to extend my image to the side but keep the rest the same. To make it more explainable; this is what I have at the moment:. On the right side of the image there's a gap. I would like to extend the image over that gap (green line) but keep the middle of the column on the same page (red line). Explained in the image:

But I am having trouble to achieve this with the container. I know I could use container-fluid, but to keep my layout consistant I would like to use container for this matter. Because when I use container-fluid the margins are off and it's not as cleaned lined up as I would like to.

Thanks in advance, I can't seem to figure this out without messing up the layout.

EDIT 1

My bad fogot to add the code; herby my code:

Here is the code I am writing: Fake News Detection Google Colab Notebook

The dataset I use: fake_or_real_news

The glove embedding layer: glove.twitter.27B.200d

I've been trying out PyGAD, a python library for genetic algorithm used on machine learning.

What I want to achieve is fake news detection. What I have done is preprocess the articles, and transform them into vectors. I use Glove as the embedding layer in the NN. I've tried to train using the NN model without GA, and it worked fine. Then I applied the NN to PyGAD GA following the tutorial: How To Train Keras Models Using the Genetic Algorithm with PyGAD, the process seemed to be running fine, but the fitness score wasn't going up at all even after 200 generations. I've tried to change the mutation method and some other hyper parameters, but it doesn't seem to change the outcome. What have I done wrong in the process of building the PyGAD GA model? Most of the PyGAD model settings are the same as the examples in the tutorial above.

To specify the problem I am encountering: Below is the main PyGAD code I am using:

Training input(X_train):

I am novice to NLP to be honest and I am trying to use GLOVE vectors for finding the similarity between two statements and I am getting a key error. Please let me know where I am wrong. Thanks in advance for your help and if there are other better ways of measuring the similarity between the statements,please let me know.