def enableAttributes(genfunc):
"""Wrapper for generators to enable classlike attribute access.
The generator definition should specify 'self' as the first parameter.
Calls to a wrapped generator should ignore the self parameter.
"""
old = getargspec(genfunc)
old[0].pop(0)
new = getargspec(genfunc)
new[0][0] = 'wrapped'
specs = {'name': genfunc.func_name,
'oldargs': formatargspec(*old),
'newargs': formatargspec(*new)}
exec(_redefinition % specs, genfunc.func_globals)
#### A minimal, complete example
python类generators()的实例源码
fix_remove_old__future__imports.py 文件源码
项目：hakkuframework
作者: 4shadoww
项目源码
文件源码
阅读 26
收藏 0
点赞 0
评论 0
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
fix_remove_old__future__imports.py 文件源码
项目：FightstickDisplay
作者: calexil
项目源码
文件源码
阅读 20
收藏 0
点赞 0
评论 0
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
fix_remove_old__future__imports.py 文件源码
项目：cryptogram
作者: xinmingzhang
项目源码
文件源码
阅读 22
收藏 0
点赞 0
评论 0
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def testGenerators(self):
"""equals works for generators"""
def f():
yield 1
yield "hello"
def g():
yield 1
yield "hello"
assert Iter.equal(f(), g())
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def generate_children(count, parent, life_min, life_max):
"""We are using a generator to randomly seed a sequence of specifications for the
factory. While this is not strictly part of the Factory Pattern, it can be useful
for testing the factory or for generating objects based on some pre-defined algorithm.
It is perfectly acceptable to implement factories without generators (depends on your
specific use-case)."""
types = parent.__subclasses__()
for i in range(count):
yield {
"class_name": random.choice(types).__name__,
"lifespan": random.randint(life_min, life_max)
}
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
def transform(self, node, results):
remove_future_import(u"with_statement", node)
remove_future_import(u"nested_scopes", node)
remove_future_import(u"generators", node)
