gqylpy-cache
如其名，
gqylpy_cache实现缓存功能，由 GQYLPY 团队研发的一个框架，可缓存某个函数或某个类中定义的所有方法的返回值。你的程序中有一个函数会被多次调用，并且返回值不变，你会怎么做？为提高代码效率，你会先调用一次该函数并把返回值存到一个变量，之后就使用这个变量，而不是重复调用函数。是这样吗？你已经很不错了。但现在，我们要传授你一种比之更简明的方案，使用
gqylpy_cache模块直接缓存函数返回值。
gqylpy_cache有两种使用方式：当做元类使用，将缓存其元类实例中定义的所有方法的返回值；当做装饰器使用，将缓存被装饰函数的返回值。
pip3 install gqylpy_cache
缓存类中方法的返回值
import gqylpy_cache
class Alpha(metaclass=gqylpy_cache):
...
此时，类 Alpha 中定义的所有方法以及property属性，在被其实例调用一次后，返回值都将被缓存，缓存在 __cache_pool__ 属性中。此后的每次调用，只要参数不变，都是直接从 __cache_pool__ 中取值，不会重复执行相关代码，大幅减少程序功耗并提高代码可读性。
上述缓存功能默认只作用于单个实例，每个实例都有自己的 __cache_pool__ 属性，若希望 Alpha 的所有实例共享同一份缓存，可启用 __shared_instance_cache__ 属性：
class Alpha(metaclass=gqylpy_cache):
__shared_instance_cache__ = True
设置类属性 __shared_instance_cache__ = True 后，属性 __cache_pool__ 将被创建在 Alpha 类中，而不是 Alpha 的每个实例中。
若希望某个方法或property不被缓存，可将其加入到 __not_cache__ 列表中：
class Alpha(metaclass=gqylpy_cache):
__not_cache__ = [method_obj_or_method_name, ...]
另外，Alpha 的子类也拥有上述缓存功能。
缓存函数返回值
import gqylpy_cache
@gqylpy_cache
def alpha():
...
此时，函数 alpha 在被调用一次后，其返回值将被缓存。此后的每次调用，只要参数不变，都是直接从缓存中取值，而不会重复执行 alpha 函数。
装饰器的用法亦可获得单例类，只要实例化参数一致：
@gqylpy_cache
class Alpha:
...
另外一种兼容编辑器语法提示的用法：
from gqylpy_cache import cache
@cache
def alpha():
...
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Release files for gqylpy-cache 1.3.4
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Total release size: 21.2 kB
Release files / gqylpy_cache-1.3.4.tar.gz
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