本文整理汇总了Python中mypy.nodes.FuncDef.is_abstract方法的典型用法代码示例。如果您正苦于以下问题：Python FuncDef.is_abstract方法的具体用法？Python FuncDef.is_abstract怎么用？Python FuncDef.is_abstract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mypy.nodes.FuncDef的用法示例。
在下文中一共展示了FuncDef.is_abstract方法的3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: visit_func_def
# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import is_abstract [as 别名]
def visit_func_def(self, node: FuncDef) -> FuncDef:
# Note that a FuncDef must be transformed to a FuncDef.
new = FuncDef(node.name(),
[self.copy_argument(arg) for arg in node.arguments],
self.block(node.body),
cast(FunctionLike, self.optional_type(node.type)))
self.copy_function_attributes(new, node)
new._fullname = node._fullname
new.is_decorated = node.is_decorated
new.is_conditional = node.is_conditional
new.is_abstract = node.is_abstract
new.is_static = node.is_static
new.is_class = node.is_class
new.is_property = node.is_property
new.original_def = node.original_def
return new示例2: visit_func_def
# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import is_abstract [as 别名]
def visit_func_def(self, node: FuncDef) -> FuncDef:
# Note that a FuncDef must be transformed to a FuncDef.
new = FuncDef(node.name(),
[self.visit_var(var) for var in node.args],
node.arg_kinds[:],
[None] * len(node.init),
self.block(node.body),
self.optional_type(node.type))
self.copy_function_attributes(new, node)
new._fullname = node._fullname
new.is_decorated = node.is_decorated
new.is_conditional = node.is_conditional
new.is_abstract = node.is_abstract
new.is_static = node.is_static
new.is_property = node.is_property
new.original_def = node.original_def
return new示例3: visit_func_def
# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import is_abstract [as 别名]
def visit_func_def(self, node: FuncDef) -> FuncDef:
# Note that a FuncDef must be transformed to a FuncDef.
# These contortions are needed to handle the case of recursive
# references inside the function being transformed.
# Set up placeholder nodes for references within this function
# to other functions defined inside it.
# Don't create an entry for this function itself though,
# since we want self-references to point to the original
# function if this is the top-level node we are transforming.
init = FuncMapInitializer(self)
for stmt in node.body.body:
stmt.accept(init)
new = FuncDef(node.name(),
[self.copy_argument(arg) for arg in node.arguments],
self.block(node.body),
cast(Optional[FunctionLike], self.optional_type(node.type)))
self.copy_function_attributes(new, node)
new._fullname = node._fullname
new.is_decorated = node.is_decorated
new.is_conditional = node.is_conditional
new.is_abstract = node.is_abstract
new.is_static = node.is_static
new.is_class = node.is_class
new.is_property = node.is_property
new.is_final = node.is_final
new.original_def = node.original_def
if node in self.func_placeholder_map:
# There is a placeholder definition for this function. Replace
# the attributes of the placeholder with those form the transformed
# function. We know that the classes will be identical (otherwise
# this wouldn't work).
result = self.func_placeholder_map[node]
replace_object_state(result, new)
return result
else:
return new