本文整理汇总了Python中pyclbr.Function方法的典型用法代码示例。如果您正苦于以下问题:Python pyclbr.Function方法的具体用法?Python pyclbr.Function怎么用?Python pyclbr.Function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pyclbr
的用法示例。
在下文中一共展示了pyclbr.Function方法的4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: __init__
# 需要导入模块: import pyclbr [as 别名]
# 或者: from pyclbr import Function [as 别名]
def __init__(self, name, classes, file):
self.name = name
self.classes = classes
self.file = file
try:
self.cl = self.classes[self.name]
except (IndexError, KeyError):
self.cl = None
self.isfunction = isinstance(self.cl, pyclbr.Function)
示例2: monkey_patch
# 需要导入模块: import pyclbr [as 别名]
# 或者: from pyclbr import Function [as 别名]
def monkey_patch():
"""If the CONF.monkey_patch set as True,
this function patches a decorator
for all functions in specified modules.
You can set decorators for each modules
using CONF.monkey_patch_modules.
The format is "Module path:Decorator function".
name - name of the function
function - object of the function
"""
# If CONF.monkey_patch is not True, this function do nothing.
if not CONF.monkey_patch:
return
if six.PY2:
is_method = inspect.ismethod
else:
def is_method(obj):
# Unbound methods became regular functions on Python 3
return inspect.ismethod(obj) or inspect.isfunction(obj)
# Get list of modules and decorators
for module_and_decorator in CONF.monkey_patch_modules:
module, decorator_name = module_and_decorator.split(':')
# import decorator function
decorator = importutils.import_class(decorator_name)
__import__(module)
# Retrieve module information using pyclbr
module_data = pyclbr.readmodule_ex(module)
for key, value in module_data.items():
# set the decorator for the class methods
if isinstance(value, pyclbr.Class):
clz = importutils.import_class("%s.%s" % (module, key))
for method, func in inspect.getmembers(clz, is_method):
setattr(clz, method,
decorator("%s.%s.%s" % (module, key,
method), func))
# set the decorator for the function
if isinstance(value, pyclbr.Function):
func = importutils.import_class("%s.%s" % (module, key))
setattr(sys.modules[module], key,
decorator("%s.%s" % (module, key), func))
示例3: monkey_patch
# 需要导入模块: import pyclbr [as 别名]
# 或者: from pyclbr import Function [as 别名]
def monkey_patch():
"""Patch decorator.
If the Flags.monkey_patch set as True,
this function patches a decorator
for all functions in specified modules.
You can set decorators for each modules
using CONF.monkey_patch_modules.
The format is "Module path:Decorator function".
Example: 'manila.api.ec2.cloud:' \
manila.openstack.common.notifier.api.notify_decorator'
Parameters of the decorator is as follows.
(See manila.openstack.common.notifier.api.notify_decorator)
name - name of the function
function - object of the function
"""
# If CONF.monkey_patch is not True, this function do nothing.
if not CONF.monkey_patch:
return
# Get list of modules and decorators
for module_and_decorator in CONF.monkey_patch_modules:
module, decorator_name = module_and_decorator.split(':')
# import decorator function
decorator = importutils.import_class(decorator_name)
__import__(module)
# Retrieve module information using pyclbr
module_data = pyclbr.readmodule_ex(module)
for key in module_data.keys():
# set the decorator for the class methods
if isinstance(module_data[key], pyclbr.Class):
clz = importutils.import_class("%s.%s" % (module, key))
# NOTE(vponomaryov): we need to distinguish class methods types
# for py2 and py3, because the concept of 'unbound methods' has
# been removed from the python3.x
if six.PY3:
member_type = inspect.isfunction
else:
member_type = inspect.ismethod
for method, func in inspect.getmembers(clz, member_type):
setattr(
clz, method,
decorator("%s.%s.%s" % (module, key, method), func))
# set the decorator for the function
if isinstance(module_data[key], pyclbr.Function):
func = importutils.import_class("%s.%s" % (module, key))
setattr(sys.modules[module], key,
decorator("%s.%s" % (module, key), func))
示例4: test_nested
# 需要导入模块: import pyclbr [as 别名]
# 或者: from pyclbr import Function [as 别名]
def test_nested(self):
mb = pyclbr
# Set arguments for descriptor creation and _creat_tree call.
m, p, f, t, i = 'test', '', 'test.py', {}, None
source = dedent("""\
def f0:
def f1(a,b,c):
def f2(a=1, b=2, c=3): pass
return f1(a,b,d)
class c1: pass
class C0:
"Test class."
def F1():
"Method."
return 'return'
class C1():
class C2:
"Class nested within nested class."
def F3(): return 1+1
""")
actual = mb._create_tree(m, p, f, source, t, i)
# Create descriptors, linked together, and expected dict.
f0 = mb.Function(m, 'f0', f, 1)
f1 = mb._nest_function(f0, 'f1', 2)
f2 = mb._nest_function(f1, 'f2', 3)
c1 = mb._nest_class(f0, 'c1', 5)
C0 = mb.Class(m, 'C0', None, f, 6)
F1 = mb._nest_function(C0, 'F1', 8)
C1 = mb._nest_class(C0, 'C1', 11)
C2 = mb._nest_class(C1, 'C2', 12)
F3 = mb._nest_function(C2, 'F3', 14)
expected = {'f0':f0, 'C0':C0}
def compare(parent1, children1, parent2, children2):
"""Return equality of tree pairs.
Each parent,children pair define a tree. The parents are
assumed equal. Comparing the children dictionaries as such
does not work due to comparison by identity and double
linkage. We separate comparing string and number attributes
from comparing the children of input children.
"""
self.assertEqual(children1.keys(), children2.keys())
for ob in children1.values():
self.assertIs(ob.parent, parent1)
for ob in children2.values():
self.assertIs(ob.parent, parent2)
for key in children1.keys():
o1, o2 = children1[key], children2[key]
t1 = type(o1), o1.name, o1.file, o1.module, o1.lineno
t2 = type(o2), o2.name, o2.file, o2.module, o2.lineno
self.assertEqual(t1, t2)
if type(o1) is mb.Class:
self.assertEqual(o1.methods, o2.methods)
# Skip superclasses for now as not part of example
compare(o1, o1.children, o2, o2.children)
compare(None, actual, None, expected)