如何创建新的闭包单元对象? [英] How to create new closure cell objects?
问题描述
我需要猴子补丁库来替换符号的实例,并且该符号被某些函数闭包引用。我需要复制这些函数(因为我也需要访问该函数的原始未修补版本),但是 __ closure __
是不可变的,我不能 copy.copy
,那么如何在Python 2.7中创建新的闭包单元对象?
I need to monkey-patch my library to replace an instance of a symbol, and it's getting referenced by some function closures. I need to copy those functions (since I also need access to original unpatched version of the function as well), but __closure__
is immutable, and I can't copy.copy
it, so how can I create new closure cells objects in Python 2.7?
例如,给定此功能
def f():
def incorrectfunction():
return 0
def g():
return incorrectfunction()
return g
def correctfunction():
return 42
func = f()
patched_func = patchit(f) # replace "incorrectfunction"
print func(), patched_func()
我想看看
0, 42
推荐答案
创建封闭单元格的简单方法是进行封闭:
The simple way to make a closure cell would be to make a closure:
def make_cell(val=None):
x = val
def closure():
return x
return closure.__closure__[0]
如果您要重新分配现有单元格的内容,则需要 C API 调用:
If you want to reassign an existing cell's contents, you'll need to make a C API call:
import ctypes
PyCell_Set = ctypes.pythonapi.PyCell_Set
# ctypes.pythonapi functions need to have argtypes and restype set manually
PyCell_Set.argtypes = (ctypes.py_object, ctypes.py_object)
# restype actually defaults to c_int here, but we might as well be explicit
PyCell_Set.restype = ctypes.c_int
PyCell_Set(cell, new_value)
当然只有CPython。
CPython only, of course.
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