diff --git "a/notebook.ipynb" "b/notebook.ipynb"
--- "a/notebook.ipynb"
+++ "b/notebook.ipynb"
@@ -21,15 +21,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:08.144649Z",
-     "iopub.status.busy": "2025-02-26T21:17:08.144181Z",
-     "iopub.status.idle": "2025-02-26T21:17:09.907835Z",
-     "shell.execute_reply": "2025-02-26T21:17:09.907012Z"
-    }
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -60,15 +53,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:09.941482Z",
-     "iopub.status.busy": "2025-02-26T21:17:09.941171Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.643434Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.643073Z"
-    }
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from fastai.basics import torch, plt\n",
@@ -90,15 +76,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:11.645196Z",
-     "iopub.status.busy": "2025-02-26T21:17:11.645028Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.771311Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.770998Z"
-    }
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -139,15 +118,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:11.772794Z",
-     "iopub.status.busy": "2025-02-26T21:17:11.772676Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.822864Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.822595Z"
-    }
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -194,20 +166,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:11.824384Z",
-     "iopub.status.busy": "2025-02-26T21:17:11.824261Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.900687Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.900408Z"
-    }
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "52dcc224eb5f498a860d45227c52bf68",
+       "model_id": "374ca6dc04ab43db861a6b3e932e4884",
        "version_major": 2,
        "version_minor": 0
       },
@@ -246,15 +211,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:11.903408Z",
-     "iopub.status.busy": "2025-02-26T21:17:11.903326Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.906820Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.906569Z"
-    }
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -293,20 +251,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-02-26T21:17:11.908071Z",
-     "iopub.status.busy": "2025-02-26T21:17:11.907979Z",
-     "iopub.status.idle": "2025-02-26T21:17:11.956174Z",
-     "shell.execute_reply": "2025-02-26T21:17:11.955905Z"
-    }
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e6814ad990f24ac191751b113096e580",
+       "model_id": "6690b52c9e1b4a5dafaaf59f76340d16",
        "version_major": 2,
        "version_minor": 0
       },
@@ -354,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -484,13 +435,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cb8257556c124f118636a3e179c48b41",
+       "model_id": "34197665b30c4a0cbb4d42d50c738809",
        "version_major": 2,
        "version_minor": 0
       },
@@ -526,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -621,7 +572,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -640,366 +591,364 @@
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
     "state": {
-     "0363ed04965849e9ba9ac84840f53aa9": {
-      "model_module": "@jupyter-widgets/controls",
+     "0696762f8b6d40a4a9f83ccc89e6ad73": {
+      "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
-      "model_name": "SliderStyleModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
-      }
+      "model_name": "LayoutModel",
+      "state": {}
      },
-     "05cea0acdefd4a3a9d07c89aad6f18fc": {
-      "model_module": "@jupyter-widgets/controls",
+     "08bf4da24cbf44e3ba1a9e65b9a82920": {
+      "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
-      "model_name": "SliderStyleModel",
-      "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
-      }
+      "model_name": "LayoutModel",
+      "state": {}
      },
-     "321c6e25d6c1469393077b48f599ac80": {
-      "model_module": "@jupyter-widgets/controls",
+     "0e077fa7bb9d4d65a2133937e203e1ff": {
+      "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
-      "model_name": "SliderStyleModel",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "15bcdbc851ed4bf29e29859357fbae52": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "185a9bd78ffc46609d01ca7c0e6c398d": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "2406bb8acaf24c31b23c88432252cc1c": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
       "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
+       "layout": "IPY_MODEL_0696762f8b6d40a4a9f83ccc89e6ad73",
+       "outputs": [
+        {
+         "data": {
+          "image/png": "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",
+          "text/plain": "<Figure size 576x432 with 1 Axes>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        }
+       ]
       }
      },
-     "3a6cb362843644dea22fe24e70e1ffb9": {
+     "25e79fe1ca924b589ed8dd170d61a2f5": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
        "description": "c",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_548bccf6f2e64f639da9e99aadf4b011",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "layout": "IPY_MODEL_f8ac14d57163468f85be0b2bc639bdcd",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_65564a7d02a840b7b978d18acb045631",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_2e39410ed46741ce94bbc308ea9f45d8",
+       "value": 1.5
       }
      },
-     "4429d264f29d497fb60af0b1d6ed52a7": {
+     "27e6c8dd08624c409ca6bb8fc789aca0": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "28ff65c70ff948cc9ffa699bc02a825c": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
-       "description": "a",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_912f33f722c54a90ac3f5fc43a08edfb",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "description": "c",
+       "layout": "IPY_MODEL_d92e2193d6d24f1f9ceccf4ad0fd400f",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_05cea0acdefd4a3a9d07c89aad6f18fc",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_b47137fb41eb4aaab5b761c3cbdfca6f",
+       "value": 1.5
       }
      },
-     "463bafc74b2c4e1abfe644763ca84d30": {
-      "model_module": "@jupyter-widgets/base",
+     "2ce4bc9b50464f5bbfad3b9101d6a5fc": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "layout": "IPY_MODEL_27e6c8dd08624c409ca6bb8fc789aca0",
+       "outputs": [
+        {
+         "data": {
+          "image/png": "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",
+          "text/plain": "<Figure size 576x432 with 1 Axes>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        }
+       ]
+      }
+     },
+     "2e39410ed46741ce94bbc308ea9f45d8": {
+      "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "description_width": ""
       }
      },
-     "491653f696a2408e8a8f62e50f7b571f": {
+     "30a1784a79044164b683eccced94549a": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "316938c4aa6445cca12f17c2918d819f": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "3258daf84db849b9b77d6e8ce3ef89ce": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
        "description": "b",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_fcb22dd6b63b4c0cabe19648cdef049d",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "layout": "IPY_MODEL_548aecf4c6034956ac2378d91a055797",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_321c6e25d6c1469393077b48f599ac80",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_97e5810a1b5842b990440d836dcd64fd",
+       "value": 1.5
       }
      },
-     "548bccf6f2e64f639da9e99aadf4b011": {
-      "model_module": "@jupyter-widgets/base",
+     "34197665b30c4a0cbb4d42d50c738809": {
+      "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
+      "model_name": "VBoxModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "_dom_classes": [
+        "widget-interact"
+       ],
+       "children": [
+        "IPY_MODEL_5b4db5490771464f8ceb851abbc08a23",
+        "IPY_MODEL_ff96ac57258c4689b7e3d3b676c25aa1",
+        "IPY_MODEL_28ff65c70ff948cc9ffa699bc02a825c",
+        "IPY_MODEL_36a6488e798e4e4ca9581731dd81ec3a"
+       ],
+       "layout": "IPY_MODEL_8345805c47cc4bd48b241a56d6135eb1"
       }
      },
-     "594a1ead46ac4e78ad9e66447cb4c560": {
+     "350ca35211c54727b33b1928e575d6e3": {
       "model_module": "@jupyter-widgets/output",
       "model_module_version": "1.0.0",
       "model_name": "OutputModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_fe3097341cf74549bc3a8067d41f4bbc",
-       "msg_id": "",
+       "layout": "IPY_MODEL_7f46888aafef4ec0b93c99d285fb491a",
        "outputs": [
         {
-         "name": "stderr",
-         "output_type": "stream",
-         "text": "/var/folders/cw/6t1pfkgn3c5_3l_gc40ch3kr0000gn/T/ipykernel_9562/81275562.py:8: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)\n  def add_noise(x, mult, add): return x * (1+noise(x,mult)) + noise(x,add)\n"
-        },
+         "data": {
+          "image/png": "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",
+          "text/plain": "<Figure size 576x432 with 1 Axes>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        }
+       ]
+      }
+     },
+     "36a6488e798e4e4ca9581731dd81ec3a": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "layout": "IPY_MODEL_e0b9eb9700674070b3e74d5640b90f20",
+       "outputs": [
         {
          "data": {
-          "image/png": "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",
+          "image/png": "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",
           "text/plain": "<Figure size 576x432 with 1 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
         }
+       ]
+      }
+     },
+     "36bd0c4eeaec4568bd8c9436a320316e": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "layout": "IPY_MODEL_f8640cee3fb641738efbd6e09e1b54c6",
+       "outputs": [
+        {
+         "data": {
+          "image/png": "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",
+          "text/plain": "<Figure size 576x432 with 1 Axes>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        }
+       ]
+      }
+     },
+     "374ca6dc04ab43db861a6b3e932e4884": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "VBoxModel",
+      "state": {
+       "_dom_classes": [
+        "widget-interact"
        ],
-       "tabbable": null,
-       "tooltip": null
+       "children": [
+        "IPY_MODEL_ad0f3706e1f74d19a7cbec651215682f",
+        "IPY_MODEL_a65c30d5971549e1a0daba3a4b5ae674",
+        "IPY_MODEL_99c5bfa0fe18489fb89f47571b8a287e",
+        "IPY_MODEL_2ce4bc9b50464f5bbfad3b9101d6a5fc"
+       ],
+       "layout": "IPY_MODEL_e3dd283a85af4053b59b9dedea365904"
       }
      },
-     "61b1a60553064335b727665c2af4adaa": {
+     "3bb08a02c7bc4f8f8c539007021a56c5": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
-       "description": "b",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_b2ef5c10de0344b3b299a5ed341c2f6d",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "description": "c",
+       "layout": "IPY_MODEL_08bf4da24cbf44e3ba1a9e65b9a82920",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_0363ed04965849e9ba9ac84840f53aa9",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_b3c6f40d2b594fcb9d7ca986d4a32249",
+       "value": 1.5
+      }
+     },
+     "3d969f68133741eaa7978450a73a2cee": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "4720941fe36a4d8b95bb115a4885a0fc": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "VBoxModel",
+      "state": {
+       "_dom_classes": [
+        "widget-interact"
+       ],
+       "children": [
+        "IPY_MODEL_7d4712f69aeb458f995c96752430f2c8",
+        "IPY_MODEL_8710e3a69df14fc8a41983a948d82be7",
+        "IPY_MODEL_621fc0e1f1b9469fb053b7fb2dac204b",
+        "IPY_MODEL_350ca35211c54727b33b1928e575d6e3"
+       ],
+       "layout": "IPY_MODEL_9bf4506bae2843eda2285af9aa6d82ac"
+      }
+     },
+     "4ab1f330a54444a1b2111255524a8ca0": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
       }
      },
-     "65564a7d02a840b7b978d18acb045631": {
+     "548aecf4c6034956ac2378d91a055797": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "56e6699f7a4a49eb91d7d964dc13c98a": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
+       "description_width": ""
       }
      },
-     "67508c117c834df9b8d69f0b7d69ca65": {
+     "5b44c3af392549cd8231b0ca48081a9d": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_b550fdc3181147fbb02d5bf3f6cb4877",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_316938c4aa6445cca12f17c2918d819f",
+       "value": 1.5
+      }
+     },
+     "5b4db5490771464f8ceb851abbc08a23": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_8293e909dca24fbabf708dc40f81a684",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_8b49bed9422546c3803ac7ec3e184261",
+       "value": 1.5
+      }
+     },
+     "621fc0e1f1b9469fb053b7fb2dac204b": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
        "description": "c",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_463bafc74b2c4e1abfe644763ca84d30",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "layout": "IPY_MODEL_9e3b2e06a200472c9a7d30425b03fdbb",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_7cea5bf13f6746c3a55e03a2537f79a0",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_c1c7feb349fb4fd19fbaa67ba9b3d191",
+       "value": 1.5
       }
      },
-     "6c2aa70352d844b2947251e8bf0fa56a": {
+     "62906d48b3664eecbb158c3259ad917d": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_185a9bd78ffc46609d01ca7c0e6c398d",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_f362a9df407c4e33b2774107e5e816bf",
+       "value": 1.5
+      }
+     },
+     "63a8d9abb5c341df95644a00c577fb7c": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "6690b52c9e1b4a5dafaaf59f76340d16": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "VBoxModel",
@@ -1007,26 +956,30 @@
        "_dom_classes": [
         "widget-interact"
        ],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "VBoxModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "VBoxView",
-       "box_style": "",
        "children": [
-        "IPY_MODEL_ea0046057c4344cc93342bfcbab546a0",
-        "IPY_MODEL_491653f696a2408e8a8f62e50f7b571f",
-        "IPY_MODEL_3a6cb362843644dea22fe24e70e1ffb9",
-        "IPY_MODEL_594a1ead46ac4e78ad9e66447cb4c560"
+        "IPY_MODEL_5b44c3af392549cd8231b0ca48081a9d",
+        "IPY_MODEL_eba36e6595f74306b538c1309ba45c0a",
+        "IPY_MODEL_3bb08a02c7bc4f8f8c539007021a56c5",
+        "IPY_MODEL_36bd0c4eeaec4568bd8c9436a320316e"
        ],
-       "layout": "IPY_MODEL_b7c38ee42c294e22b52d0a114055416a",
-       "tabbable": null,
-       "tooltip": null
+       "layout": "IPY_MODEL_15bcdbc851ed4bf29e29859357fbae52"
+      }
+     },
+     "68047da4b685425fade4f1849d5f6b28": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "7126631048804a59b7e9e83773504fd5": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
       }
      },
-     "6c8dd3e12674415d9f2286c393e8d8ad": {
+     "71c2b3908e3d4ac9a701a9ebff3885a5": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "VBoxModel",
@@ -1034,544 +987,412 @@
        "_dom_classes": [
         "widget-interact"
        ],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "VBoxModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "VBoxView",
-       "box_style": "",
        "children": [
-        "IPY_MODEL_4429d264f29d497fb60af0b1d6ed52a7",
-        "IPY_MODEL_61b1a60553064335b727665c2af4adaa",
-        "IPY_MODEL_67508c117c834df9b8d69f0b7d69ca65",
-        "IPY_MODEL_a81622b41a6c49f6b90c25c1380e64e5"
+        "IPY_MODEL_62906d48b3664eecbb158c3259ad917d",
+        "IPY_MODEL_841a47dd8f4a4377a7eeed11975f4aef",
+        "IPY_MODEL_25e79fe1ca924b589ed8dd170d61a2f5",
+        "IPY_MODEL_2406bb8acaf24c31b23c88432252cc1c"
        ],
-       "layout": "IPY_MODEL_c6466c422ef44bc9baf0511dd2700d31",
-       "tabbable": null,
-       "tooltip": null
+       "layout": "IPY_MODEL_63a8d9abb5c341df95644a00c577fb7c"
       }
      },
-     "7cea5bf13f6746c3a55e03a2537f79a0": {
+     "72e9ca110b3b40f9843ce5b67e008445": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "76928ef54d994d60af1240ed80f7a039": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "7c6dc3e3fa5546559c61785be2e0482c": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "7d4712f69aeb458f995c96752430f2c8": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_d634f945f1a74a62ab6c4598a0e7cd80",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_4ab1f330a54444a1b2111255524a8ca0",
+       "value": 1.5
+      }
+     },
+     "7f46888aafef4ec0b93c99d285fb491a": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "8293e909dca24fbabf708dc40f81a684": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "8345805c47cc4bd48b241a56d6135eb1": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "841a47dd8f4a4377a7eeed11975f4aef": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "b",
+       "layout": "IPY_MODEL_d755eac0cae34013be645ad989352d93",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_3d969f68133741eaa7978450a73a2cee",
+       "value": 1.5
+      }
+     },
+     "8710e3a69df14fc8a41983a948d82be7": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "b",
+       "layout": "IPY_MODEL_a520a84b888e45a08edd579508318aab",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_c26696bac28b47bbbda065703b1145e9",
+       "value": 1.5
+      }
+     },
+     "8716fb0022064cb481faecc7254c9aa3": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
+       "description_width": ""
       }
      },
-     "81d8ecb827ae49199a164f493eade1cf": {
+     "890b1a7bbca84bb5abff84c42eeacf06": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "SliderStyleModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "StyleView",
-       "description_width": "",
-       "handle_color": null
+       "description_width": ""
       }
      },
-     "912f33f722c54a90ac3f5fc43a08edfb": {
-      "model_module": "@jupyter-widgets/base",
+     "8b49bed9422546c3803ac7ec3e184261": {
+      "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "description_width": ""
       }
      },
-     "a81622b41a6c49f6b90c25c1380e64e5": {
-      "model_module": "@jupyter-widgets/output",
-      "model_module_version": "1.0.0",
-      "model_name": "OutputModel",
+     "97e5810a1b5842b990440d836dcd64fd": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/output",
-       "_model_module_version": "1.0.0",
-       "_model_name": "OutputModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/output",
-       "_view_module_version": "1.0.0",
-       "_view_name": "OutputView",
-       "layout": "IPY_MODEL_c6396dd928734d0bb99f4306c245c689",
-       "msg_id": "",
-       "outputs": [
-        {
-         "name": "stderr",
-         "output_type": "stream",
-         "text": "/var/folders/cw/6t1pfkgn3c5_3l_gc40ch3kr0000gn/T/ipykernel_9562/81275562.py:8: DeprecationWarning: __array_wrap__ must accept context and return_scalar arguments (positionally) in the future. (Deprecated NumPy 2.0)\n  def add_noise(x, mult, add): return x * (1+noise(x,mult)) + noise(x,add)\n"
-        },
-        {
-         "data": {
-          "image/png": "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",
-          "text/plain": "<Figure size 576x432 with 1 Axes>"
-         },
-         "metadata": {},
-         "output_type": "display_data"
-        }
-       ],
-       "tabbable": null,
-       "tooltip": null
+       "description_width": ""
       }
      },
-     "b2ef5c10de0344b3b299a5ed341c2f6d": {
+     "99c5bfa0fe18489fb89f47571b8a287e": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "c",
+       "layout": "IPY_MODEL_f571a3052aaf49218d4cc0e41b3625ce",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_7126631048804a59b7e9e83773504fd5",
+       "value": 1.5
+      }
+     },
+     "9bf4506bae2843eda2285af9aa6d82ac": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "9e3b2e06a200472c9a7d30425b03fdbb": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "a0db6666d23c436f803b3d232112686e": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "behavior": "drag-tap",
+       "description": "c",
+       "layout": "IPY_MODEL_aed1673c65ad429abab13658fad86bb9",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_aa4fbec3eba841f39e4e3351df708262",
+       "value": 1.5
       }
      },
-     "b7c38ee42c294e22b52d0a114055416a": {
+     "a520a84b888e45a08edd579508318aab": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "a65c30d5971549e1a0daba3a4b5ae674": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "b",
+       "layout": "IPY_MODEL_c6aed350142142e58e527266bd71d02f",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_30a1784a79044164b683eccced94549a",
+       "value": 1.5
+      }
+     },
+     "aa4f6823c0a54d26b0243ff56fd6a618": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "aa4fbec3eba841f39e4e3351df708262": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "description_width": ""
       }
      },
-     "c6396dd928734d0bb99f4306c245c689": {
+     "ad0f3706e1f74d19a7cbec651215682f": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
+      "state": {
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_68047da4b685425fade4f1849d5f6b28",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_aa4f6823c0a54d26b0243ff56fd6a618",
+       "value": 1.5
+      }
+     },
+     "aed1673c65ad429abab13658fad86bb9": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "b3c6f40d2b594fcb9d7ca986d4a32249": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "description_width": ""
       }
      },
-     "c6466c422ef44bc9baf0511dd2700d31": {
+     "b47137fb41eb4aaab5b761c3cbdfca6f": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "b550fdc3181147fbb02d5bf3f6cb4877": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "b81183c85ccb4d18bd9c52fd4c1b4bb8": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "VBoxModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "_dom_classes": [
+        "widget-interact"
+       ],
+       "children": [
+        "IPY_MODEL_eb7818f0f09443eda1f5d66f14e39370",
+        "IPY_MODEL_3258daf84db849b9b77d6e8ce3ef89ce",
+        "IPY_MODEL_a0db6666d23c436f803b3d232112686e",
+        "IPY_MODEL_f376bb226310468a8de1a66fb0e94538"
+       ],
+       "layout": "IPY_MODEL_dc9e81d7ce6a4b3d9f50cf78df703ebb"
+      }
+     },
+     "c1c7feb349fb4fd19fbaa67ba9b3d191": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "c26696bac28b47bbbda065703b1145e9": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "SliderStyleModel",
+      "state": {
+       "description_width": ""
       }
      },
-     "d7773e30a1a44581b659162a725f5633": {
+     "c6aed350142142e58e527266bd71d02f": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "d634f945f1a74a62ab6c4598a0e7cd80": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "d755eac0cae34013be645ad989352d93": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "d92e2193d6d24f1f9ceccf4ad0fd400f": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "dc9e81d7ce6a4b3d9f50cf78df703ebb": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "e0b9eb9700674070b3e74d5640b90f20": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "e3dd283a85af4053b59b9dedea365904": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "eb7818f0f09443eda1f5d66f14e39370": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "behavior": "drag-tap",
+       "description": "a",
+       "layout": "IPY_MODEL_76928ef54d994d60af1240ed80f7a039",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_8716fb0022064cb481faecc7254c9aa3",
+       "value": 1.5
       }
      },
-     "ea0046057c4344cc93342bfcbab546a0": {
+     "eba36e6595f74306b538c1309ba45c0a": {
       "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
       "model_name": "FloatSliderModel",
       "state": {
-       "_dom_classes": [],
-       "_model_module": "@jupyter-widgets/controls",
-       "_model_module_version": "2.0.0",
-       "_model_name": "FloatSliderModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/controls",
-       "_view_module_version": "2.0.0",
-       "_view_name": "FloatSliderView",
        "behavior": "drag-tap",
-       "continuous_update": true,
-       "description": "a",
-       "description_allow_html": false,
-       "disabled": false,
-       "layout": "IPY_MODEL_d7773e30a1a44581b659162a725f5633",
-       "max": 3.3000000000000003,
-       "min": -1.1,
-       "orientation": "horizontal",
-       "readout": true,
-       "readout_format": ".2f",
+       "description": "b",
+       "layout": "IPY_MODEL_7c6dc3e3fa5546559c61785be2e0482c",
+       "max": 4.5,
+       "min": -1.5,
        "step": 0.1,
-       "style": "IPY_MODEL_81d8ecb827ae49199a164f493eade1cf",
-       "tabbable": null,
-       "tooltip": null,
-       "value": 1.1
+       "style": "IPY_MODEL_890b1a7bbca84bb5abff84c42eeacf06",
+       "value": 1.5
       }
      },
-     "fcb22dd6b63b4c0cabe19648cdef049d": {
-      "model_module": "@jupyter-widgets/base",
+     "f362a9df407c4e33b2774107e5e816bf": {
+      "model_module": "@jupyter-widgets/controls",
       "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
+      "model_name": "SliderStyleModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "description_width": ""
       }
      },
-     "fe3097341cf74549bc3a8067d41f4bbc": {
+     "f376bb226310468a8de1a66fb0e94538": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "layout": "IPY_MODEL_72e9ca110b3b40f9843ce5b67e008445",
+       "outputs": [
+        {
+         "data": {
+          "image/png": "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",
+          "text/plain": "<Figure size 576x432 with 1 Axes>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        }
+       ]
+      }
+     },
+     "f571a3052aaf49218d4cc0e41b3625ce": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "f8640cee3fb641738efbd6e09e1b54c6": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
+      "state": {}
+     },
+     "f8ac14d57163468f85be0b2bc639bdcd": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "ff96ac57258c4689b7e3d3b676c25aa1": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "FloatSliderModel",
       "state": {
-       "_model_module": "@jupyter-widgets/base",
-       "_model_module_version": "2.0.0",
-       "_model_name": "LayoutModel",
-       "_view_count": null,
-       "_view_module": "@jupyter-widgets/base",
-       "_view_module_version": "2.0.0",
-       "_view_name": "LayoutView",
-       "align_content": null,
-       "align_items": null,
-       "align_self": null,
-       "border_bottom": null,
-       "border_left": null,
-       "border_right": null,
-       "border_top": null,
-       "bottom": null,
-       "display": null,
-       "flex": null,
-       "flex_flow": null,
-       "grid_area": null,
-       "grid_auto_columns": null,
-       "grid_auto_flow": null,
-       "grid_auto_rows": null,
-       "grid_column": null,
-       "grid_gap": null,
-       "grid_row": null,
-       "grid_template_areas": null,
-       "grid_template_columns": null,
-       "grid_template_rows": null,
-       "height": null,
-       "justify_content": null,
-       "justify_items": null,
-       "left": null,
-       "margin": null,
-       "max_height": null,
-       "max_width": null,
-       "min_height": null,
-       "min_width": null,
-       "object_fit": null,
-       "object_position": null,
-       "order": null,
-       "overflow": null,
-       "padding": null,
-       "right": null,
-       "top": null,
-       "visibility": null,
-       "width": null
+       "behavior": "drag-tap",
+       "description": "b",
+       "layout": "IPY_MODEL_0e077fa7bb9d4d65a2133937e203e1ff",
+       "max": 4.5,
+       "min": -1.5,
+       "step": 0.1,
+       "style": "IPY_MODEL_56e6699f7a4a49eb91d7d964dc13c98a",
+       "value": 1.5
       }
      }
     },
@@ -1581,5 +1402,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }