blm | simple model to describe the backlash effect | Animation library

I am trying to extract an element from a list and append it to a CSV file.

json_response is a list containing data on Twitter users who follow two politicians. For the first politician there are 5 tweets/users and for the second politician 13 tweets/users as can be seen from the structure of json_response. I want to extract the description for each user which is contained in ['includes']['users']. However, my function only extracts the last description 5/5 user and 13/13 user for each politician.

My knowledge regarding JSON-like objects is limited.

I am looking for help because I have trouble to get this thing done :

Here is my dataset 'new.csv'. Also I post a glance overview here:

https://drive.google.com/file/d/17xbwgp9siPuWsPBN5rUL9VSYwl7eU0ca/view?usp=sharing

Problem

I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.

Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.

This is what I tried so far:

1. A simple data.replace('\'', '\"') is not possible, as the "text" fields contain tweets which may contain ' or " themselves.
2. Using regex, I was able to catch some of the instances, but it does not catch everything: re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
3. Using literal.eval(data) from the ast package also throws an error.

As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.

Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):

I am working with Parse Server and am trying to speed up queries that use a bloom filter.

Each document has a field bf with number value in range 0...bloomSize, for example document Id "xyz" is hashed as bf = 6462

The query then loads binary bloom filter values that are encoded and saved in base64 string. To make use of indexed query in Parse Server / MongoDB I need to generate an array of integers that I can compare then with the above mentioned field. So the base64 string needs to be decoded and for each 0 in binary data I have to append an integer of that 0 value position. Currently I am using following snippet:

I am working with string as below:

I'm trying to unit test a model but I keep getting "Donation matching query does not exist," with the traceback pointing to the first line in the test_charity function. I tried getting the object with charity='aclu' instead of by ID, but that did not fix it.

I started to learn Flask for a mini-project about a month. I wanted to do an app that calculates body parameters as BMI or LBM. The thing is that when I request the data in the forms, it come as tuples, so it can't be used by the body_calculator module, and throws the error in the title. My questions are: why data come as tuple, and which is the correct way to request data in Flask in this situations?

Flask code

I have a Google cloud Postgres server set up, and under the production environment I am able to connect to the server correctly. However, when I try to connect to the same cloud server in my local server, it doesn't seem to work. Here's the configuration for my database.js