Develop a program that simultaneously analyzes text files for the search of specific keywords. Create two versions of the program: one using the threading module for multithreading, and another using the multiprocessing module for multiprocessing programming.

1. Implement multithreading approach to file processing (using threading):

   • Divide the list of files between different threads.
   • Each thread should search for the specified keywords in its own set of files.
   • Save and print the search results from all threads.

2. Implement multiprocessing approach to file processing (using multiprocessing):

   • Divide the list of files between different processes.
   • Each process should handle its own part of files, searching for the keywords.
   • Use inter-process communication mechanism (e.g., Queue) to collect and print the search results.

Classes of different approaches are implemented in the searcher.py file.

• SingleThreadSearcher: A searcher that searches for key words in files using a single thread.
• MultiThreadSearcher: A searcher that searches for key words in files using multiple threads.
• MultiProcessSearcher: A searcher that searches for key words in files using multiple processes.
• MultiProcessSearcher2: A searcher that searches for key words in files using multiple processes and file distribution using Queue.

Additional files:

• prepare_data.py - contains functions that prepares data for the test using the faker library.
• test.py - runs tests.