good-cache 0.1.32

Efficient function output caching based on input files and other parameters to the function.

good_cache

good_cache is a Python library that caches the output of your functions. If your function has to read large files as its input or if it has to read files in a directory, and optionally some non-file function parameter values such as a str, int, bool, etc. values then good_cache can remember the input combination and return the ouput to the caller as long as the input combination has been seen (and cached) by good_cache previously.

Here is an article that goes into some detail about good_cache:

• https://medium.com/@arunsundaramco/boost-your-python-efficiency-with-good-cache-file-and-directory-based-caching-made-simple-d2218365b3ca

Here is the GitHub repo:

• https://github.com/arunsundaram50/good-cache

Here is the pip command to install it:

pip install good_cache

Here’s a simple example of how you might use good_cache:

from good_cache import fs_files_cache

@fs_files_cache(files='filenames')
def sum_numbers_in_files(filenames):
    result = 0
    for filename in filenames:
        with open(filename, 'rt') as file:
            numbers = list(map(int, file.readlines()))
            result += sum(numbers)
    return result

Here's an example of how you can evict a previous cache for a particular parameter(s)

evicted = sum_numbers_in_files.evict(['a.txt', 'b.txt'])