• Read the guideline before start

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, b, c):
    return (a ** b ** c) % (a * c)

@cache
def long_time_func_2(n_tuple, power):
    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