Method _get_py_dictionary

_pydevd_bundle/pydevd_resolver.py:163–212

:return tuple(names, used___dict__), where used___dict__ means we have to access using obj.__dict__[name] instead of getattr(obj, name)

(self, var, names=None, used___dict__=False)

        return names, used___dict__

    def _get_py_dictionary(self, var, names=None, used___dict__=False):
        """
        :return tuple(names, used___dict__), where used___dict__ means we have to access
        using obj.__dict__[name] instead of getattr(obj, name)
        """

        # On PyPy we never show functions. This is because of a corner case where PyPy becomes
        # absurdly slow -- it takes almost half a second to introspect a single numpy function (so,
        # the related test, "test_case_16_resolve_numpy_array", times out... this probably isn't
        # specific to numpy, but to any library where the CPython bridge is used, but as we
        # can't be sure in the debugger, we play it safe and don't show it at all).
        filter_function = IS_PYPY

        if not names:
            names, used___dict__ = self.get_names(var)
        d = {}

        # Be aware that the order in which the filters are applied attempts to
        # optimize the operation by removing as many items as possible in the
        # first filters, leaving fewer items for later filters

        timer = Timer()
        cls = type(var)
        for name in names:
            try:
                name_as_str = name
                if name_as_str.__class__ != str:
                    name_as_str = "%r" % (name_as_str,)

                if not used___dict__:
                    attr = getattr(var, name)
                else:
                    attr = var.__dict__[name]

                # filter functions?
                if filter_function:
                    if inspect.isroutine(attr) or isinstance(attr, MethodWrapperType):
                        continue
            except:
                # if some error occurs getting it, let's put it to the user.
                strIO = StringIO()
                traceback.print_exc(file=strIO)
                attr = strIO.getvalue()

            finally:
                timer.report_if_getting_attr_slow(cls, name_as_str)

            d[name_as_str] = attr

        return d, used___dict__


class DAPGrouperResolver: