This Python script and documentation provide a threaded approach for making HTTP requests to a list of URLs, analyzing response data, finding attribute occurrences, and calculating rarity based on a collection size.

1. Make sure you have Python 3.x installed.

2. Install the required Python packages using pip:

pip install requests psutil

3. Clone or download this repository to your local machine.

You can use the provided Python script threaded_url_requests.py for multi-threaded URL requests and data analysis. The script includes a class ThreadRequests and three main functions for different tasks:

1. get_data(urls_list: list): Fetches data from a list of URLs.
2. get_occurrence_data(urls_list: list): Fetches data and finds attribute occurrences.
3. get_rarity_data(urls_list: list, collection_size): Fetches data, finds attribute occurrences, and calculates rarity.

Here's how to run these functions:

# Example usage
import threaded_url_requests

# List of URLs to fetch data from
urls_list = [...]
collection_size = 20  # Set your collection size

# Fetch data from URLs
attribute_list = threaded_url_requests.get_data(urls_list)

# Find attribute occurrences
occurrence_data = threaded_url_requests.get_occurrence_data(urls_list)

# Calculate rarity
rarity_data = threaded_url_requests.get_rarity_data(urls_list, collection_size)

Detailed documentation for the provided Python script threaded_url_requests.py:

• Class ThreadRequests: A class for handling multi-threaded URL requests and data analysis.
• Methods: run, check_status, worker_get, find_occurrence, get_occurrence, calculate_rarity, and more.
• Properties: responses.
• Function get_data(urls_list): Fetches data from a list of URLs using multi-threaded requests.
• Function get_occurrence_data(urls_list): Fetches data and finds attribute occurrences from a list of URLs using multi-threaded requests.
• Function get_rarity_data(urls_list, collection_size): Fetches data, finds attribute occurrences, and calculates rarity from a list of URLs using multi-threaded requests.

This project is licensed under the MIT License

Yasir Ali

LinkedIn:\yasirali179