diff --git a/19_training_and_deploying_at_scale.ipynb b/19_training_and_deploying_at_scale.ipynb
index 1dcebf5..54c8579 100644
--- a/19_training_and_deploying_at_scale.ipynb
+++ b/19_training_and_deploying_at_scale.ipynb
@@ -60,28 +60,6 @@
     "assert sys.version_info >= (3, 7)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "id": "TAlKky09pKzv"
-   },
-   "source": [
-    "It also requires Scikit-Learn ≥ 1.0.1:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "id": "YqCwW7cMpKzw"
-   },
-   "outputs": [],
-   "source": [
-    "import sklearn\n",
-    "\n",
-    "assert sklearn.__version__ >= \"1.0.1\""
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -93,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "id": "0Piq5se2pKzx"
    },
@@ -115,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "id": "Ekxzo6pOpKzy"
    },
@@ -193,7 +171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -263,7 +241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -278,7 +256,7 @@
        " 'my_mnist_model/0001/variables/variables.index']"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -296,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -314,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -333,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -386,7 +364,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -408,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -419,7 +397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -461,7 +439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -476,7 +454,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -485,7 +463,7 @@
        "'{\"signature_name\": \"serving_default\", \"instances\": [[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0..., 0, 0]]]}'"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,7 +481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -517,7 +495,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -528,7 +506,7 @@
        "       [0.  , 0.97, 0.01, 0.  , 0.  , 0.  , 0.  , 0.01, 0.  , 0.  ]])"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -549,7 +527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -564,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -585,7 +563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {
     "scrolled": true
    },
@@ -598,7 +576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -610,7 +588,7 @@
        "      dtype=float32)"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -628,7 +606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -639,7 +617,7 @@
        "       [0.  , 0.97, 0.01, 0.  , 0.  , 0.  , 0.  , 0.01, 0.  , 0.  ]])"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -662,7 +640,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "scrolled": true
    },
@@ -714,7 +692,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -740,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -762,7 +740,7 @@
        " 'my_mnist_model/0002/variables/variables.index']"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -780,7 +758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -795,7 +773,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -804,7 +782,7 @@
        "dict_keys(['predictions'])"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -815,7 +793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -826,7 +804,7 @@
        "       [0.  , 0.99, 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  , 0.  ]])"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -857,7 +835,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -875,7 +853,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -891,7 +869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -907,7 +885,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -954,7 +932,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -963,7 +941,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1000,7 +978,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1033,7 +1011,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1042,7 +1020,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -1053,7 +1031,7 @@
        "       [0.  , 0.97, 0.01, 0.  , 0.  , 0.  , 0.  , 0.01, 0.  , 0.  ]])"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1066,7 +1044,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -1096,7 +1074,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -1120,7 +1098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -1175,7 +1153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -1184,7 +1162,7 @@
        "gcs_output_directory: \"gs://my_bucket/my_mnist_predictions/prediction-mnist-2022_04_12T21_30_08_071Z\""
       ]
      },
-     "execution_count": 41,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1195,7 +1173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -1220,7 +1198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1230,7 +1208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -1239,7 +1217,7 @@
        "0.98"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1250,7 +1228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -1276,7 +1254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -1308,7 +1286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -1337,7 +1315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1347,7 +1325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1356,7 +1334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -1435,7 +1413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -1474,7 +1452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1494,7 +1472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1518,7 +1496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1531,7 +1509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
@@ -1563,7 +1541,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1573,7 +1551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -1582,7 +1560,7 @@
        "'/job:localhost/replica:0/task:0/device:GPU:0'"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1594,7 +1572,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -1603,7 +1581,7 @@
        "'/job:localhost/replica:0/task:0/device:CPU:0'"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1622,7 +1600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -1631,7 +1609,7 @@
        "'/job:localhost/replica:0/task:0/device:CPU:0'"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1652,7 +1630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -1661,7 +1639,7 @@
        "\"'/job:localhost/replica:0/task:0/device:GPU:0'\""
       ]
      },
-     "execution_count": 60,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1684,7 +1662,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -1724,7 +1702,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1750,7 +1728,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1777,7 +1755,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1798,7 +1776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
@@ -1807,7 +1785,7 @@
        "tensorflow.python.distribute.values.MirroredVariable"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1818,7 +1796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -1837,7 +1815,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -1853,7 +1831,7 @@
        "tensorflow.python.ops.resource_variable_ops.ResourceVariable"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1868,7 +1846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1878,7 +1856,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
@@ -1902,7 +1880,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
@@ -1927,7 +1905,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -1952,7 +1930,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -1969,7 +1947,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2008,7 +1986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2032,7 +2010,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2058,7 +2036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [
     {
@@ -2067,7 +2045,7 @@
        "ClusterSpec({'ps': ['machine-a.example.com:2221'], 'worker': ['machine-a.example.com:2222', 'machine-b.example.com:2222']})"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2079,7 +2057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
@@ -2088,7 +2066,7 @@
        "'worker'"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2099,7 +2077,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
@@ -2108,7 +2086,7 @@
        "0"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2130,7 +2108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
     {
@@ -2206,7 +2184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2220,7 +2198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2250,7 +2228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2260,7 +2238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2285,7 +2263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
@@ -2356,7 +2334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2373,7 +2351,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -2427,7 +2405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2447,7 +2425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [
     {
@@ -2470,7 +2448,7 @@
     "tuner_id = f'{tf_config[\"task\"][\"type\"]}{tf_config[\"task\"][\"index\"]}'\n",
     "if tuner_id == \"chief0\":\n",
     "    tuner_id = \"chief\"\n",
-    "    chief_ip = \"127.0.0.1\"\n",
+    "    chief_ip = \"0.0.0.0\"\n",
     "    # extra code – shows one way to start a worker on the chief machine\n",
     "    # import subprocess\n",
     "    # import sys\n",
@@ -2487,7 +2465,8 @@
     "import keras_tuner as kt\n",
     "import tensorflow as tf\n",
     "\n",
-    "gcs_path = \"gs://my_bucket/my_hp_search\"  # replace with your bucket's name\n",
+    "gcs_path = \"gs://my_bucket/my_hp_search\"\n",
+    "gcs_path = gcs_path.replace(\"gs://\", \"/gcs/\")  # uses GCS Fuse\n",
     "\n",
     "def build_model(hp):\n",
     "    n_hidden = hp.Int(\"n_hidden\", min_value=0, max_value=8, default=2)\n",
@@ -2535,6 +2514,26 @@
     "    best_model.save(os.getenv(\"AIP_MODEL_DIR\"))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replace `gs://my_bucket` with your bucket's name:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(\"my_keras_tuner_search.py\") as f:\n",
+    "    script = f.read()\n",
+    "\n",
+    "with open(\"my_keras_tuner_search.py\", \"w\") as f:\n",
+    "    f.write(script.replace(\"gs://my_bucket/\", f\"gs://{bucket_name}/\"))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 89,