我正在尝试编写一个save/load命令,就像MATLAB中的命令一样(能够将局部变量保存到磁盘或将它们加载到当前上下文中,或者用MATLAB的术语加载工作空间)。
我编写了以下代码,但它似乎不起作用,因为外部作用域中的变量没有被替换,因为内存复制发生在某处。
以下是代码:
import shelve
import logging
import inspect
logger = logging.getLogger()
def save_locals(filename, keys=None):
my_shelf = shelve.open(filename, 'n') # 'n' for new
caller_locals = inspect.stack()[1][0].f_locals
if keys is None:
keys = caller_locals.keys()
for key in keys:
try:
my_shelf[key] = caller_locals[key]
except TypeError:
#
# __builtins__, my_shelf, and imported modules can not be shelved.
#
print('ERROR shelving: {0}'.format(key))
my_shelf.close()
def load_locals(filename, keys=None):
my_shelf = shelve.open(filename)
caller_locals = inspect.stack()[1][0].f_locals
if keys is None:
keys = list(my_shelf.keys())
for key in keys:
try:
caller_locals[key] = my_shelf[key]
except ValueError:
print('cannot get variable %s'.format(key))
以下测试失败:
from unittest import TestCase
from .io import save_locals, load_locals
class TestIo(TestCase):
def test_save_load(self):
sanity = 'sanity'
an_int = 3
a_float = 3.14
a_list = [1, 2, 3]
a_dict = [{'a': 5, 'b': 3}]
save_locals('temp')
an_int = None
a_float = None
a_list = None
a_dict = None
load_locals('temp')
self.assertIn('an_int', locals())
self.assertIn('a_float', locals())
self.assertIn('a_list', locals())
self.assertIn('a_dict', locals())
self.assertEqual(an_int, 3)
self.assertEqual(a_float, 3.14)
self.assertEqual(a_list, [1, 2, 3])
self.assertEqual(a_dict, [{'a': 5, 'b': 3}])
当我在load_locals
内部断点时,我可以看到它改变了f_locals
字典,但是当函数返回时它们不会改变。
答案 0 :(得分:1)
不,您无法动态更新本地变量。原因是因为本地符号表被保存为C数组以进行优化,locals()
和frame.f_locals
最终都将副本返回到该本地符号表。官方的回应是修改locals()具有未定义的行为。 This线程谈了一下。
它最终会变得奇怪,因为每次调用locals()
或frame.f_locals
都会返回相同的字典,这会在不同的时间重新同步。这里只需调用frame.f_locals
即可重置本地
def test_locals():
frame = inspect.stack()[1][0]
caller_locals = frame.f_locals
caller_locals['an_int'] = 5
print(caller_locals)
_ = frame.f_locals
print(caller_locals)
def call_test_locals():
an_int = 3
test_locals()
call_test_locals()
输出:
{'an_int': 5}
{'an_int': 3}
行为将取决于Python实现以及可能的其他边缘情况,但是一些示例(1)变量已定义且未更新; (2)变量未定义并更新; (3)变量已定义并随后被删除且未更新。
def test_locals():
frame = inspect.stack()[1][0]
caller_locals = frame.f_locals
caller_locals['an_int'] = 5
def call_test_locals1():
an_int = 3
print('calling', locals())
test_locals()
print('done', locals())
def call_test_locals2():
print('calling', locals())
test_locals()
print('done', locals())
def call_test_locals3():
an_int = 3
del an_int
print('calling', locals())
test_locals()
print('done', locals())
print('\n1:')
call_test_locals1()
print('\n2:')
call_test_locals2()
print('\n3:')
call_test_locals3()
输出:
1:
calling {'an_int': 3}
done {'an_int': 3}
2:
calling {}
done {'an_int': 5}
3:
calling {}
done {}
如果您正在运行Python 2,您可以使用exec
在本地命名空间中执行字符串,但它不能在Python 3中工作,并且通常可能是个坏主意。
import shelve
import logging
import inspect
logger = logging.getLogger()
def save_locals(filename, keys=None):
my_shelf = shelve.open(filename, 'n') # 'n' for new
caller_locals = inspect.stack()[1][0].f_locals
if keys is None:
keys = caller_locals.keys()
for key in keys:
try:
my_shelf[key] = caller_locals[key]
except TypeError:
#
# __builtins__, my_shelf, and imported modules can not be shelved.
#
print('ERROR shelving: {0}'.format(key))
my_shelf.close()
def load_locals_string(filename, keys=None):
my_shelf = shelve.open(filename)
if keys is None:
keys = list(my_shelf.keys())
return ';'.join('{}={!r}'.format(key, my_shelf[key]) for key in keys)
和
from unittest import TestCase
from .io import save_locals, load_locals
class TestIo(TestCase):
def test_save_load(self):
sanity = 'sanity'
an_int = 3
a_float = 3.14
a_list = [1, 2, 3]
a_dict = [{'a': 5, 'b': 3}]
save_locals('temp')
an_int = None
a_float = None
a_list = None
a_dict = None
exec load_locals_string('temp')
self.assertIn('an_int', locals())
self.assertIn('a_float', locals())
self.assertIn('a_list', locals())
self.assertIn('a_dict', locals())
self.assertEqual(an_int, 3)
self.assertEqual(a_float, 3.14)
self.assertEqual(a_list, [1, 2, 3])
self.assertEqual(a_dict, [{'a': 5, 'b': 3}])
在Python 2中,exec
使用PyFrame_LocalsToFast
将变量复制回本地范围,但不能在Python 3中复制,因为exec
是一个函数。 Martijn Pieters有一个很好的帖子。