Method _function_getnewargs

cloudpickle/cloudpickle.py:1278–1309

(self, func)

            return self._dynamic_function_reduce(obj)

    def _function_getnewargs(self, func):
        code = func.__code__

        # base_globals represents the future global namespace of func at
        # unpickling time. Looking it up and storing it in
        # cloudpickle.Pickler.globals_ref allow functions sharing the same
        # globals at pickling time to also share them once unpickled, at one
        # condition: since globals_ref is an attribute of a cloudpickle.Pickler
        # instance, and that a new cloudpickle.Pickler is created each time
        # cloudpickle.dump or cloudpickle.dumps is called, functions also need
        # to be saved within the same invocation of
        # cloudpickle.dump/cloudpickle.dumps (for example:
        # cloudpickle.dumps([f1, f2])). There is no such limitation when using
        # cloudpickle.Pickler.dump, as long as the multiple invocations are
        # bound to the same cloudpickle.Pickler instance.
        base_globals = self.globals_ref.setdefault(id(func.__globals__), {})

        if base_globals == {}:
            # Add module attributes used to resolve relative imports
            # instructions inside func.
            for k in ["__package__", "__name__", "__path__", "__file__"]:
                if k in func.__globals__:
                    base_globals[k] = func.__globals__[k]

        # Do not bind the free variables before the function is created to
        # avoid infinite recursion.
        if func.__closure__ is None:
            closure = None
        else:
            closure = tuple(_make_empty_cell() for _ in range(len(code.co_freevars)))

        return code, base_globals, None, None, closure

    def dump(self, obj):
        try: