testing conceptual prior violations

.github/workflows/build_wheels.yml

@@ -31,8 +31,9 @@ jobs:
           CIBW_ARCHS_WINDOWS: auto64
           CIBW_BUILD_FRONTEND: build
 
-      - uses: actions/upload-artifact@v3
+      - uses: actions/upload-artifact@v4
         with:
+          name: wheels-${{ matrix.os }}
           path: ./wheelhouse/*.whl
 
   build_sdist:
@@ -44,7 +45,7 @@ jobs:
       - name: Build sdist
         run: pipx run build --sdist
 
-      - uses: actions/upload-artifact@v3
+      - uses: actions/upload-artifact@v4
         with:
           path: dist/*.tar.gz
 
@@ -55,7 +56,7 @@ jobs:
     # or, alternatively, upload to PyPI on every tag starting with 'v' (remove on: release above to use this)
     # if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
     steps:
-      - uses: actions/download-artifact@v3
+      - uses: actions/download-artifact@v4
         with:
           # unpacks default artifact into dist/
           # if `name: artifact` is omitted, the action will create extra parent dir
@@ -78,7 +79,7 @@ jobs:
     # or, alternatively, upload to PyPI on every tag starting with 'v' (remove on: release above to use this)
     # if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')
     steps:
-      - uses: actions/download-artifact@v3
+      - uses: actions/download-artifact@v4
         with:
           # unpacks default artifact into dist/
           # if `name: artifact` is omitted, the action will create extra parent dir

docs/basic_tutorial/basic_tutorial.ipynb

@@ -156,7 +156,9 @@
     "from ssms.basic_simulators.simulator import simulator\n",
     "\n",
     "sim_out = simulator(\n",
-    "    model=\"ddm\", theta={\"v\": 0, \"a\": 1, \"z\": 0.5, \"t\": 0.5}, n_samples=1000,\n",
+    "    model=\"ddm\",\n",
+    "    theta={\"v\": 0, \"a\": 1, \"z\": 0.5, \"t\": 0.5},\n",
+    "    n_samples=1000,\n",
     ")"
    ]
   },

notebooks/basic_tutorial.ipynb

@@ -1163,7 +1163,7 @@
     }
    ],
    "source": [
-    "type(model_config['param_bounds'])"
+    "type(model_config[\"param_bounds\"])"
    ]
   },
   {
@@ -1427,7 +1427,9 @@
     }
    ],
    "source": [
-    "training_data['thetas'][:, model_config[\"params\"].index(\"st\")] < training_data['thetas'][:, model_config[\"params\"].index(\"t\")]"
+    "training_data[\"thetas\"][:, model_config[\"params\"].index(\"st\")] < training_data[\n",
+    "    \"thetas\"\n",
+    "][:, model_config[\"params\"].index(\"t\")]"
    ]
   },
   {
@@ -1464,11 +1466,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "my_dict = {'v': np.array([-1.022687], dtype=np.float32), \n",
-    "\t\t   't': np.array([1.2465975], dtype=np.float32), \n",
-    "\t\t   'a': np.array([1.472519], dtype=np.float32), \n",
-    "\t\t   'z': np.array([0.2667516], dtype=np.float32),\n",
-    "\t\t'deadline': np.array([2.0713003], dtype=np.float32)}"
+    "my_dict = {\n",
+    "    \"v\": np.array([-1.022687], dtype=np.float32),\n",
+    "    \"t\": np.array([1.2465975], dtype=np.float32),\n",
+    "    \"a\": np.array([1.472519], dtype=np.float32),\n",
+    "    \"z\": np.array([0.2667516], dtype=np.float32),\n",
+    "    \"deadline\": np.array([2.0713003], dtype=np.float32),\n",
+    "}"
    ]
   },
   {
@@ -1489,7 +1493,7 @@
    ],
    "source": [
     "names = [key_ for key_ in my_dict.keys()]\n",
-    "np.tile(np.stack([my_dict[key_] for key_ in names], axis = 1), (200, 1)).shape"
+    "np.tile(np.stack([my_dict[key_] for key_ in names], axis=1), (200, 1)).shape"
    ]
   },
   {

notebooks/basic_tutorial_12122024.ipynb

@@ -229,8 +229,11 @@
    ],
    "source": [
     "from matplotlib import pyplot as plt\n",
-    "plt.hist(sim_out[\"rts\"] * sim_out['choices'], histtype = 'step', bins = 40, label='sim_out')\n",
-    "plt.hist(sim_out2[\"rts\"] * sim_out2['choices'], histtype = 'step', bins = 40, label='sim_out2')\n",
+    "\n",
+    "plt.hist(sim_out[\"rts\"] * sim_out[\"choices\"], histtype=\"step\", bins=40, label=\"sim_out\")\n",
+    "plt.hist(\n",
+    "    sim_out2[\"rts\"] * sim_out2[\"choices\"], histtype=\"step\", bins=40, label=\"sim_out2\"\n",
+    ")\n",
     "plt.legend()"
    ]
   },

notebooks/basic_tutorial_old.ipynb

@@ -78,9 +78,10 @@
    ],
    "source": [
     "def myfun(a, b, c):\n",
-    "\tprint(a, b, c)\n",
+    "    print(a, b, c)\n",
     "\n",
-    "myfun(**{'c': 1, 'b': 2, 'a': 3})"
+    "\n",
+    "myfun(**{\"c\": 1, \"b\": 2, \"a\": 3})"
    ]
   },
   {
@@ -270,8 +271,7 @@
     "from ssms.basic_simulators.simulator import simulator\n",
     "\n",
     "sim_out = simulator(\n",
-    "\tmodel=\"lba2\", theta={'A': 0.3, 'b': 0.5, 'v0': 0.5, 'v1': 0.5},\n",
-    "\t\t\t\t\t\t    n_samples=10\n",
+    "    model=\"lba2\", theta={\"A\": 0.3, \"b\": 0.5, \"v0\": 0.5, \"v1\": 0.5}, n_samples=10\n",
     ")"
    ]
   },