Skip to content

sakhaline/py-cache-decorator

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

33 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Cache decorator

You have a big array with data. You have to run a long runtime function with this data. Data can be repeated. To not re-run function with repeatable data, it will be good to store results of completed runs.

Write decorator cache that stores results of completed runs with different arguments, number of arguments can be also different. If decorated function runs with repeating arguments it should return stored result instead of calling function again. Decorator cache creating for decorating only functions that take immutable arguments.

Also note, that decorator cache should work correctly with few decorated functions simultaneously and correctly return for every function separately.

Also cache should print Getting from cache when returns stored value and Calculating new result when run function with new arguments.

Example:

@cache
def long_time_func(a: int, b: int, c: int) -> int:
    return (a ** b ** c) % (a * c)

@cache
def long_time_func_2(n_tuple: tuple, power: int) -> int:
    return [number ** power for number in n_tuple]

long_time_func(1, 2, 3)
long_time_func(2, 2, 3)
long_time_func_2((5, 6, 7), 5)
long_time_func(1, 2, 3)
long_time_func_2((5, 6, 7), 10)
long_time_func_2((5, 6, 7), 10)

# Calculating new result 
# Calculating new result 
# Calculating new result 
# Getting from cache 
# Calculating new result 
# Getting from cache

Note: Check your code using this checklist before pushing your solution.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%