removed obselete states class factory

tutorials/notebooks/intro_gfn_smiley.ipynb

@@ -1658,7 +1658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {
     "id": "92RxW4V7aLk7"
    },
@@ -1697,49 +1697,6 @@
     "            preprocessor=IdentityPreprocessor(output_dim=state_dim)\n",
     "        )\n",
     "\n",
-    "    # def make_States_class(self) -> type[DiscreteStates]:\n",
-    "    #     \"Creates a States class for this environment\"\n",
-    "    #     env = self\n",
-    "\n",
-    "    #     class FaceStates(DiscreteStates):\n",
-    "    #         state_shape: ClassVar[tuple[int, ...]] = (env.n_actions - 1,)  # this is 6.\n",
-    "    #         s0 = env.s0   # this is 6 zeros.\n",
-    "    #         sf = env.sf   # this is 6 -1's.\n",
-    "    #         n_actions = env.n_actions  # this is 7. 6 features, plus 1 for exit.\n",
-    "    #         device = env.device\n",
-    "\n",
-    "    #         def update_masks(self) -> None:\n",
-    "    #             \"Update the masks based on the current states.\"\n",
-    "    #             # Backward masks are simply any action we've already taken.\n",
-    "    #             self.backward_masks = self.tensor != 0  # n - 1 actions.\n",
-    "\n",
-    "    #             # Forward masks begin as allowing any action. Allowed actions are 1.\n",
-    "    #             self.init_forward_masks(set_ones=True)\n",
-    "\n",
-    "    #             # Then, we remove any done action, and also the exit action.\n",
-    "    #             self.set_nonexit_masks(self.tensor == 1, allow_exit=False)\n",
-    "\n",
-    "    #             if env.mask_invalid_actions:\n",
-    "    #                 # Now we remove invalid actions. Here we are enforcing that\n",
-    "    #                 # only one left eyebrow, one right eyebrow, and one smile can be\n",
-    "    #                 # selected. 0 = not allowed.\n",
-    "    #                 invalid_actions = torch.ones(self.forward_masks.shape).bool()\n",
-    "    #                 invalid_actions[..., 0][self.tensor[..., 1].bool()] = 0  # l_eb\n",
-    "    #                 invalid_actions[..., 1][self.tensor[..., 0].bool()] = 0  # l_eb\n",
-    "    #                 invalid_actions[..., 2][self.tensor[..., 3].bool()] = 0  # r_eb\n",
-    "    #                 invalid_actions[..., 3][self.tensor[..., 2].bool()] = 0  # r_eb\n",
-    "    #                 invalid_actions[..., 4][self.tensor[..., 5].bool()] = 0  # smile\n",
-    "    #                 invalid_actions[..., 5][self.tensor[..., 4].bool()] = 0  # smile\n",
-    "\n",
-    "    #                 self.forward_masks = (self.forward_masks * invalid_actions)\n",
-    "\n",
-    "    #             # Trajectories must be length 3. Any trajectory that has taken 3 actions\n",
-    "    #             # should be forced to exit.\n",
-    "    #             batch_idx = self.tensor.sum(-1) >= 3\n",
-    "    #             self.set_exit_masks(batch_idx)\n",
-    "\n",
-    "    #     return FaceStates\n",
-    "\n",
     "    def update_masks(self, states: type[DiscreteStates]) -> None:\n",
     "        \"Update the masks based on the current states.\"\n",
     "        # Backward masks are simply any action we've already taken.\n",