The functools.wraps function in Python’s functools module is a decorator that updates the wrapper function to look more like the wrapped function. This is particularly useful when writing decorators, as it helps preserve the metadata of the original function.
The functools.update_wrapper function in Python’s functools module is used to update a wrapper function to look more like the wrapped function. This is particularly useful when writing decorators, as it helps preserve the metadata of the original function.
The functools.reduce function in Python’s functools module applies a binary function cumulatively to the items of an iterable, from left to right, so as to reduce the iterable to a single value. This is useful for performing some computation on a list and returning the result.
The functools.singledispatch function in Python’s functools module is a decorator that transforms a function into a single-dispatch generic function. This allows you to define different behaviors for a function based on the type of its first argument.
The functools.partialmethod function in Python’s functools module allows you to fix a certain number of arguments of a method and generate a new method. This is useful for creating methods with some preset arguments, particularly in object-oriented programming.
The functools.partial function in Python’s functools module allows you to fix a certain number of arguments of a function and generate a new function. This is useful for creating specialized versions of general-purpose functions.
The functools.lru_cache function in Python’s functools module provides a decorator for caching the results of function calls using a Least Recently Used (LRU) strategy. This can help improve performance by storing results of expensive or frequently called functions and reusing them when the same inputs occur.
The functools.cmp_to_key function in Python’s functools module converts a comparison function into a key function. This can be useful when you need to sort data using a comparison function, which was the method used in Python 2, and need to adapt it to Python 3’s key-based sorting.
The functools.cached_property function in Python’s functools module provides a decorator for caching the result of an instance method as a property. This can help improve performance by avoiding repeated calculations for properties that are expensive to compute.
The functools.cache function in Python’s functools module provides a decorator for memoizing function results. This can help improve performance by caching the results of expensive or frequently called functions.