Python FuncDef._fullname方法代码示例

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
 def visit_func_def(self, func: FuncDef) -> None:
     sem = self.sem
     if sem.type is not None:
         # Don't process methods during pass 1.
         return
     func.is_conditional = sem.block_depth[-1] > 0
     func._fullname = sem.qualified_name(func.name())
     at_module = sem.is_module_scope()
     if at_module and func.name() in sem.globals:
         # Already defined in this module.
         original_sym = sem.globals[func.name()]
         if (original_sym.kind == UNBOUND_IMPORTED or
                 isinstance(original_sym.node, ImportedName)):
             # Ah this is an imported name. We can't resolve them now, so we'll postpone
             # this until the main phase of semantic analysis.
             return
         if not sem.set_original_def(original_sym.node, func):
             # Report error.
             sem.check_no_global(func.name(), func)
     else:
         if at_module:
             sem.globals[func.name()] = SymbolTableNode(GDEF, func)
         # Also analyze the function body (needed in case there are unreachable
         # conditional imports).
         sem.function_stack.append(func)
         sem.scope.enter_function(func)
         sem.enter()
         func.body.accept(self)
         sem.leave()
         sem.scope.leave()
         sem.function_stack.pop()

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
        def add_method(funcname: str,
                       ret: Type,
                       args: List[Argument],
                       name: Optional[str] = None,
                       is_classmethod: bool = False,
                       is_new: bool = False,
                       ) -> None:
            if is_classmethod or is_new:
                first = [Argument(Var('cls'), TypeType.make_normalized(selftype), None, ARG_POS)]
            else:
                first = [Argument(Var('self'), selftype, None, ARG_POS)]
            args = first + args

            types = [arg.type_annotation for arg in args]
            items = [arg.variable.name() for arg in args]
            arg_kinds = [arg.kind for arg in args]
            assert None not in types
            signature = CallableType(cast(List[Type], types), arg_kinds, items, ret,
                                     function_type)
            signature.variables = [tvd]
            func = FuncDef(funcname, args, Block([]))
            func.info = info
            func.is_class = is_classmethod
            func.type = set_callable_name(signature, func)
            func._fullname = info.fullname() + '.' + funcname
            if is_classmethod:
                v = Var(funcname, func.type)
                v.is_classmethod = True
                v.info = info
                v._fullname = func._fullname
                dec = Decorator(func, [NameExpr('classmethod')], v)
                info.names[funcname] = SymbolTableNode(MDEF, dec)
            else:
                info.names[funcname] = SymbolTableNode(MDEF, func)

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
    def add_method(self,
                   method_name: str, args: List[Argument], ret_type: Type,
                   self_type: Optional[Type] = None,
                   tvd: Optional[TypeVarDef] = None) -> None:
        """Add a method: def <method_name>(self, <args>) -> <ret_type>): ... to info.

        self_type: The type to use for the self argument or None to use the inferred self type.
        tvd: If the method is generic these should be the type variables.
        """
        from mypy.semanal import set_callable_name
        self_type = self_type if self_type is not None else self.self_type
        args = [Argument(Var('self'), self_type, None, ARG_POS)] + args
        arg_types = [arg.type_annotation for arg in args]
        arg_names = [arg.variable.name() for arg in args]
        arg_kinds = [arg.kind for arg in args]
        assert None not in arg_types
        signature = CallableType(cast(List[Type], arg_types), arg_kinds, arg_names,
                                 ret_type, self.function_type)
        if tvd:
            signature.variables = [tvd]
        func = FuncDef(method_name, args, Block([PassStmt()]))
        func.info = self.info
        func.type = set_callable_name(signature, func)
        func._fullname = self.info.fullname() + '.' + method_name
        func.line = self.info.line
        self.info.names[method_name] = SymbolTableNode(MDEF, func)
        # Add the created methods to the body so that they can get further semantic analysis.
        # e.g. Forward Reference Resolution.
        self.info.defn.defs.body.append(func)

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
def add_method(
        ctx: ClassDefContext,
        name: str,
        args: List[Argument],
        return_type: Type,
        self_type: Optional[Type] = None,
        tvar_def: Optional[TypeVarDef] = None,
) -> None:
    """Adds a new method to a class.
    """
    info = ctx.cls.info
    self_type = self_type or fill_typevars(info)
    function_type = ctx.api.named_type('__builtins__.function')

    args = [Argument(Var('self'), self_type, None, ARG_POS)] + args
    arg_types, arg_names, arg_kinds = [], [], []
    for arg in args:
        assert arg.type_annotation, 'All arguments must be fully typed.'
        arg_types.append(arg.type_annotation)
        arg_names.append(arg.variable.name())
        arg_kinds.append(arg.kind)

    signature = CallableType(arg_types, arg_kinds, arg_names, return_type, function_type)
    if tvar_def:
        signature.variables = [tvar_def]

    func = FuncDef(name, args, Block([PassStmt()]))
    func.info = info
    func.type = set_callable_name(signature, func)
    func._fullname = info.fullname() + '.' + name
    func.line = info.line

    info.names[name] = SymbolTableNode(MDEF, func, plugin_generated=True)
    info.defn.defs.body.append(func)

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
    def visit_func_def(self, func: FuncDef, decorated: bool = False) -> None:
        """Process a func def.

        decorated is true if we are processing a func def in a
        Decorator that needs a _fullname and to have its body analyzed but
        does not need to be added to the symbol table.
        """
        sem = self.sem
        if sem.type is not None:
            # Don't process methods during pass 1.
            return
        func.is_conditional = sem.block_depth[-1] > 0
        func._fullname = sem.qualified_name(func.name())
        at_module = sem.is_module_scope() and not decorated
        if (at_module and func.name() == '__getattr__' and
                self.sem.cur_mod_node.is_package_init_file() and self.sem.cur_mod_node.is_stub):
            if isinstance(func.type, CallableType):
                ret = func.type.ret_type
                if isinstance(ret, UnboundType) and not ret.args:
                    sym = self.sem.lookup_qualified(ret.name, func, suppress_errors=True)
                    # We only interpret a package as partial if the __getattr__ return type
                    # is either types.ModuleType of Any.
                    if sym and sym.node and sym.node.fullname() in ('types.ModuleType',
                                                                    'typing.Any'):
                        self.sem.cur_mod_node.is_partial_stub_package = True
        if at_module and func.name() in sem.globals:
            # Already defined in this module.
            original_sym = sem.globals[func.name()]
            if (original_sym.kind == UNBOUND_IMPORTED or
                    isinstance(original_sym.node, ImportedName)):
                # Ah this is an imported name. We can't resolve them now, so we'll postpone
                # this until the main phase of semantic analysis.
                return
            if not sem.set_original_def(original_sym.node, func):
                # Report error.
                sem.check_no_global(func.name(), func)
        else:
            if at_module:
                sem.globals[func.name()] = SymbolTableNode(GDEF, func)
            # Also analyze the function body (needed in case there are unreachable
            # conditional imports).
            sem.function_stack.append(func)
            sem.scope.enter_function(func)
            sem.enter()
            func.body.accept(self)
            sem.leave()
            sem.scope.leave()
            sem.function_stack.pop()

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [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

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [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

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [as 别名]
    def build_newtype_typeinfo(self, name: str, old_type: Type, base_type: Instance) -> TypeInfo:
        info = self.api.basic_new_typeinfo(name, base_type)
        info.is_newtype = True

        # Add __init__ method
        args = [Argument(Var('self'), NoneTyp(), None, ARG_POS),
                self.make_argument('item', old_type)]
        signature = CallableType(
            arg_types=[Instance(info, []), old_type],
            arg_kinds=[arg.kind for arg in args],
            arg_names=['self', 'item'],
            ret_type=NoneTyp(),
            fallback=self.api.named_type('__builtins__.function'),
            name=name)
        init_func = FuncDef('__init__', args, Block([]), typ=signature)
        init_func.info = info
        init_func._fullname = self.api.qualified_name(name) + '.__init__'
        info.names['__init__'] = SymbolTableNode(MDEF, init_func)

        return info

# 需要导入模块: from mypy.nodes import FuncDef [as 别名]
# 或者: from mypy.nodes.FuncDef import _fullname [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