Python Cached Decorator

Provides caching for functions

• Suitable for time consuming computations
• How does it work:
  • First run = run
  • Second run = load result
• Stores result in pickle
• Checks if function args matches
• Always use newest result

Example

from Cached import Cached

@Cached()
# possible params: Cached(force_run=False, output_path="cached_data", name="")
def func(arg):
    return arg

print fun(5)

Options

All options are optional

• force_run [True/False] Do not use cached result
• output_path [String] default=cached_data in script path, /tmp is a good idea
• name [String] default=function name, force function name - used for store and load

Development

Feel free to contribute.

Copyright and License

© 2015 Vít Listík, Michal Bukovský

Released under MIT licence