def addAttribute_(self, name, value):
p = nm.tree_createnode(self.__nodep, NODE_ATTRIBUTE, name)
self.__nodeattributes[name.lower()] = Tree(p)
if type(value) == type(np.array([])):
nm.tree_setvalue(p, value.tolist())
elif value is not None:
err = nm.tree_setvalue(p, value)
def addElement_(self, name, value=None):
if name.lower() not in self.__nodechildren:
self.__nodechildren[name.lower()] = TreeList([])
p = nm.tree_createnode(self.__nodep, NODE_ELEMENT, name)
self.__nodechildren[name.lower()].append(Tree(p))
if type(value) == type(np.array([])):
nm.tree_setvalue(p, value.tolist())
elif value is not None:
nm.tree_setvalue(p, value)
def __setattr__(self, name, value):
if name == "x_":
# Update object in neuromechanic memory
if type(value) == type(np.array([])):
nm.tree_setvalue(self._Tree__nodep, value.tolist())
else:
nm.tree_setvalue(self._Tree__nodep, value)
else:
# default setattr
super().__setattr__(name, value)