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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def memoized_func(key=view_cache_key, attribute_in_key=None):
 """Use this decorator to cache functions that have predefined first arg. enable_cache is treated as True by default, except enable_cache = False is passed to the decorated function. force means whether to force refresh the cache and is treated as False by default, except force = True is passed to the decorated function. timeout of cache is set to 600 seconds by default, except cache_timeout = {timeout in seconds} is passed to the decorated function. memoized_func uses simple_cache and stored the data in memory. Key is a callable function that takes function arguments and returns the caching key. """

    def wrap(f):
        if tables_cache:
            def wrapped_f(self, *args, **kwargs):
                if not kwargs.get('cache', True):
                    return f(self, *args, **kwargs)

                if attribute_in_key:
                    cache_key = key(*args, **kwargs).format(
                        getattr(self, attribute_in_key))
                else:
                    cache_key = key(*args, **kwargs)
                o = tables_cache.get(cache_key)
                if not kwargs.get('force') and o is not None:
                    return o
                o = f(self, *args, **kwargs)
                tables_cache.set(cache_key, o,
                                 timeout=kwargs.get('cache_timeout'))
                return o
        else:
            # noop
            def wrapped_f(self, *args, **kwargs):
                return f(self, *args, **kwargs)
        return wrapped_f
    return wrap