extraction | Python library for extracting titles | Scraper library

This is my first time attempting to extract a string using gsub and regular expressions in R. I would like to extract three words after the first occurrence of the word "at" or "around" in each cell of a text column (col in example) and place the extraction into a new column (new_extract).

What I have thus far is the following:

I am really newbie in Flutter and SQLite. I need to store some data got from a DB into a global variable (in this code it's a local variable just for exemplification) and I don't know:

1. where is the best point I can do it (now I put it in the homepage's initState method);
2. how I can store future data in a no-future variable.

Below is the method for the data extraction

I'm trying to train some ML algorithms on some data that I collected, but I received an error for input variables with inconsistent numbers of samples. I'm not really sure what variables needs to be changed or not. I've posted my code below to give you a better understanding of what I'm trying to accomplish:

I tried to change a few lines from the original code however when I tried to run , I got error that say 'AttributeError: module 'PngImageFile' has no attribute 'shape'. However, I had no problem when running the original code. What should I do to remove this error in my modified code?

Here is the original code :

Currently i am working on a project where i have to extract attachments and e-mails from outlook and check whether a user defined string present in them or not. I've completed the extraction part but still searching for a way to search for text/string within the attached documents. Is there a way to this by using python?

I would like to understand the code virtualization concept. While researching I found 2 use cases:
a) hide code and avoid knowledge extraction
b) avoid manipulation

Use case A is plausible, because a VM is a aggravating barrier. My question goes towards use case B.
In my example the program shall not continue, if the virtualized IsUsageAllowed was negative.

I am trying to perform a sentiment analysis based on product reviews collected from various websites. I've been able to follow along with the below article until it gets to the model coefficient visualization step.

https://towardsdatascience.com/how-a-simple-algorithm-classifies-texts-with-moderate-accuracy-79f0cd9eb47

When I run my program, I get the following error:

I have data in devanagari that needs some extraction to be done. This is an example of a few lines

तत् इदम् K7 <<<<K1-अर्थ>T6-सार>T6-संग्रह>T6-भूतम्>T2 K1 <T6-आविष्करणाय>T6 अनेकैः <<T6-T6>Di-न्यायम्>T6>Bs6 अपि <K1-K1>K1 त्वेन लौकिकैः गृह्यमाणम् उपलभ्य अहम् विवेकतः <T6-अर्थम्>T4 संक्षेपतः विवरणम् करिष्यामि

T4 अपि यः Bs6 धर्मः वर्णान् आश्रमान् च उद्दिश्य विहितः सः <<<Bs6-स्थान>T6-प्राप्ति>T6-हेतुः>T6 अपि सन् <T6-बुद्ध्या>T6 अनुष्ठीयमानः T6 भवति <T6-वर्जितः>T3

The alphanumerics are the tags of the text. I need to extract the binary compounds along with their tags (the alphanumerics immediately after the compound) from the line. Binary compounds are the two words hyphenated in the angular brackets.

<<T6-T6>Di-न्यायम्>T6>Bs6

The first two are both examples of binary compounds whereas the last one is not. The simplest way to identify a binary compound is to find two words hyphenated enclosed by one set of angular brackets and followed by a single tag. So after extraction, of say the first line, I should get a list with this in it K7, K1

The code that I tried was this

I have the below original dict: