superset memoized 源码
superset memoized 代码
文件路径:/superset/utils/memoized.py
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import functools
from typing import Any, Callable, Dict, Optional, Tuple, Type
class _memoized:
"""Decorator that caches a function's return value each time it is called
If called later with the same arguments, the cached value is returned, and
not re-evaluated.
Define ``watch`` as a tuple of attribute names if this Decorator
should account for instance variable changes.
"""
def __init__(
self, func: Callable[..., Any], watch: Optional[Tuple[str, ...]] = None
) -> None:
self.func = func
self.cache: Dict[Any, Any] = {}
self.is_method = False
self.watch = watch or ()
def __call__(self, *args: Any, **kwargs: Any) -> Any:
key = [args, frozenset(kwargs.items())]
if self.is_method:
key.append(tuple(getattr(args[0], v, None) for v in self.watch))
key = tuple(key) # type: ignore
try:
if key in self.cache:
return self.cache[key]
except TypeError as ex:
# Uncachable -- for instance, passing a list as an argument.
raise TypeError("Function cannot be memoized") from ex
value = self.func(*args, **kwargs)
try:
self.cache[key] = value
except TypeError as ex:
raise TypeError("Function cannot be memoized") from ex
return value
def __repr__(self) -> str:
"""Return the function's docstring."""
return self.func.__doc__ or ""
def __get__(
self, obj: Any, objtype: Type[Any]
) -> functools.partial: # type: ignore
if not self.is_method:
self.is_method = True
# Support instance methods.
func = functools.partial(self.__call__, obj)
func.__func__ = self.func # type: ignore
return func
def memoized(
func: Optional[Callable[..., Any]] = None, watch: Optional[Tuple[str, ...]] = None
) -> Callable[..., Any]:
if func:
return _memoized(func)
def wrapper(f: Callable[..., Any]) -> Callable[..., Any]:
return _memoized(f, watch)
return wrapper
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