本文整理汇总了Python中joblib.Memory.eval方法的典型用法代码示例。如果您正苦于以下问题：Python Memory.eval方法的具体用法？Python Memory.eval怎么用？Python Memory.eval使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类joblib.Memory的用法示例。
在下文中一共展示了Memory.eval方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: CacheManager
# 需要导入模块: from joblib import Memory [as 别名]
# 或者: from joblib.Memory import eval [as 别名]
class CacheManager(object):
'''The librosa cache manager class wraps joblib.Memory
with a __call__ attribute, so that it may act as a function.
Additionally, it provides a caching level filter, so that
different functions can be cached or not depending on the user's
preference for speed vs. storage usage.
'''
def __init__(self, *args, **kwargs):
level = kwargs.pop('level', 10)
# Initialize the memory object
self.memory = Memory(*args, **kwargs)
# The level parameter controls which data we cache
# smaller numbers mean less caching
self.level = level
def __call__(self, level):
'''Example usage:
@cache(level=2)
def semi_important_function(some_arguments):
...
'''
def wrapper(function):
'''Decorator function. Adds an input/output cache to
the specified function.'''
from decorator import FunctionMaker
def decorator_apply(dec, func):
"""Decorate a function by preserving the signature even if dec
is not a signature-preserving decorator.
This recipe is derived from
http://micheles.googlecode.com/hg/decorator/documentation.html#id14
"""
return FunctionMaker.create(
func, 'return decorated(%(signature)s)',
dict(decorated=dec(func)), __wrapped__=func)
if self.memory.location is not None and self.level >= level:
return decorator_apply(self.memory.cache, function)
else:
return function
return wrapper
def clear(self, *args, **kwargs):
return self.memory.clear(*args, **kwargs)
def eval(self, *args, **kwargs):
return self.memory.eval(*args, **kwargs)
def format(self, *args, **kwargs):
return self.memory.format(*args, **kwargs)
def reduce_size(self, *args, **kwargs):
return self.memory.reduce_size(*args, **kwargs)
def warn(self, *args, **kwargs):
return self.memory.warn(*args, **kwargs)