decorator¶

Decorators.

to enable/disable a function, to memoize a function results…

Classes¶

Memoize function return values.

`enabled`(→ collections.abc.Callable)	no-op. Do not change function behaviour.
`disabled`(→ collections.abc.Callable)	Disable the provided function, and does nothing.

decorator.enabled(func: collections.abc.Callable) → collections.abc.Callable¶

no-op. Do not change function behaviour.

If you write the following code:

@enabled
def foo():
    print("I'm foo")

Then calling foo() will return “I’m foo”

decorator.disabled(func: collections.abc.Callable) → collections.abc.Callable¶

Disable the provided function, and does nothing.

If you write the following code:

@disabled
def foo():
    print("I'm foo")

Then calling foo() will return None

class decorator.memoize(func: collections.abc.Callable)¶

Memoize function return values.

Avoid repeating the calculation of results for previously-processed inputs.

If you write the following code:

import random
@memoize
def long_computation(r):
    del r
    return random.random()

Then you will have:

long_computation(42) == long_computation(42)

Calling the same function twice with the same paramaters returns the same result.

Calling the function with the special keyword argument reset_cache=True force a call to the decorated function, skipping the cache.

No keyword argument can be passed to the decorated function.

__call__(*args: Any, **kwargs: Any) → Any¶: Return the cache value if exist, else call func.