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📁 ..
📄 __init__.py(11.57 KB)
📁 __pycache__
📄 _cache.py(1.23 KB)
📄 _common_impl.py(5.89 KB)
📄 _compatibility_impl.py(3.06 KB)
📄 _datetime_impl.py(4.98 KB)
📄 _dump_impl.py(4.01 KB)
📄 _extra_impl.py(1.7 KB)
📄 _fork_impl.py(1.39 KB)
📄 _key_transformers.py(1.32 KB)
📄 _lizers_impl.py(5.73 KB)
📄 _load_impl.py(8.16 KB)
📄 _multitasking.py(2.34 KB)
📄 _package_info.py(376 B)
📄 _transform_impl.py(1.48 KB)
📄 _validation.py(2.64 KB)
📁 classes
📄 decorators.py(6.62 KB)
📁 deserializers
📄 exceptions.py(6.02 KB)
📁 serializers

Editing: _cache.py

"""
PRIVATE MODULE: do not import (from) it directly.

This module contains functionality for caching functions.
"""
from collections import deque
from functools import lru_cache, update_wrapper
from typing import Callable

class _Wrapper:
    """
    A wrapper around a function that needs to be cached. This wrapper allows
    for a single point from which cache can be cleared.
    """
    instances = deque([])

def __init__(self, wrapped):
        self.wrapped = wrapped
        self.instances.append(self)

@lru_cache(typed=True)
    def __call__(self, *args, **kwargs):
        return self.wrapped(*args, **kwargs)

def cached(decorated: Callable):
    """
    Alternative for ``functools.lru_cache``. By decorating a function with
    ``cached``, you can clear the cache of that function by calling
    ``clear()``.
    :param decorated: the decorated function.
    :return: a wrapped function.
    """
    wrapper = _Wrapper(decorated)
    update_wrapper(wrapper=wrapper, wrapped=decorated)
    return wrapper

def clear():
    """
    Clear all cache of functions that were cached using ``cached``.
    :return: None.
    """
    for w in _Wrapper.instances:
        w.__call__.cache_clear()

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Editing: _cache.py

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