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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 with_cache(function):
 """Return a decorator that interacts with a handler's cache. This decorator must be applied to a DefaultHandler class method or instance method as it assumes `cache`, `ca_lock` and `timeouts` are available. """

        @wraps(function)
        def wrapped(cls, _cache_key, _cache_ignore, _cache_timeout, **kwargs):
            def clear_timeouts():
                """Clear the cache of timed out results."""
                for key in list(cls.timeouts):
                    if timer() - cls.timeouts[key] > _cache_timeout:
                        del cls.timeouts[key]
                        del cls.cache[key]

            if _cache_ignore:
                return function(cls, **kwargs)
            with cls.ca_lock:
                clear_timeouts()
                if _cache_key in cls.cache:
                    if cls.cache_hit_callback:
                        cls.cache_hit_callback(_cache_key)
                    return cls.cache[_cache_key]
            # Releasing the lock before actually making the request allows for
            # the possibility of more than one thread making the same request
            # to get through. Without having domain-specific caching (under the
            # assumption only one request to a domain can be made at a
            # time), there isn't a better way to handle this.
            result = function(cls, **kwargs)
            # The handlers don't call `raise_for_status` so we need to ignore
            # status codes that will result in an exception that should not be
            # cached.
            if result.status_code not in (200, 302):
                return result
            with cls.ca_lock:
                cls.timeouts[_cache_key] = timer()
                cls.cache[_cache_key] = result
                return result
        return wrapped