Add the missing setup_notebook() line to 6 tutorial scripts

notebooks/chapter_2_lens_modeling/tutorial_11_slam.ipynb

@@ -108,6 +108,16 @@
     "\n",
     "_setup_colab.setup(\"howtolens\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "metadata": {},
+   "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()"
+   ],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_2_lens_modeling/tutorial_8_need_for_speed.ipynb

@@ -203,6 +203,16 @@
     "\n",
     "_setup_colab.setup(\"howtolens\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "metadata": {},
+   "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()"
+   ],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {

notebooks/chapter_3_pixelizations/tutorial_9_model_fit.ipynb

@@ -54,6 +54,16 @@
     "\n",
     "_setup_colab.setup(\"howtolens\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "metadata": {},
+   "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()"
+   ],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {

notebooks/simulator/lens_x2.ipynb

@@ -87,6 +87,8 @@
    "cell_type": "code",
    "metadata": {},
    "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()\n",
     "\n",
     "from pathlib import Path\n",
     "import autolens as al\n",

notebooks/simulator/lens_x3.ipynb

@@ -88,6 +88,8 @@
    "cell_type": "code",
    "metadata": {},
    "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()\n",
     "\n",
     "from pathlib import Path\n",
     "import autolens as al\n",

scripts/chapter_2_lens_modeling/tutorial_11_slam.py

@@ -65,3 +65,5 @@
 This tutorial concludes the lens modeling chapter. In the next chapter, we introduce pixelizations, which reconstruct
 the source galaxy on a pixel-grid rather than with light profiles.
 """
+
+# from autolens import setup_notebook; setup_notebook()

scripts/chapter_2_lens_modeling/tutorial_8_need_for_speed.py

@@ -160,3 +160,5 @@
 passing (tutorial 10) reduce the number of evaluations needed to fit complex models, and the SLaM pipelines
 (tutorial 11) package these ideas into automated pipelines for fitting large samples of lenses.
 """
+
+# from autolens import setup_notebook; setup_notebook()

scripts/chapter_3_pixelizations/tutorial_9_model_fit.py

@@ -11,3 +11,5 @@
 Once complete, you can then move on to the next HowToLens tutorial and gain more insight into adaptive
 pixelizations.
 """
+
+# from autolens import setup_notebook; setup_notebook()

scripts/simulator/lens_x2.py

@@ -40,6 +40,8 @@
 If any code in this script is unclear, refer to the `autolens_workspace/*/imaging/simulator.ipynb` notebook.
 """
 
+# from autolens import setup_notebook; setup_notebook()
+
 from pathlib import Path
 import autolens as al
 import autolens.plot as aplt

scripts/simulator/lens_x3.py

@@ -41,6 +41,8 @@
 If any code in this script is unclear, refer to the `autolens_workspace/*/imaging/simulator.ipynb` notebook.
 """
 
+# from autolens import setup_notebook; setup_notebook()
+
 from pathlib import Path
 import autolens as al
 import autolens.plot as aplt

start_here.ipynb

@@ -96,6 +96,8 @@
    "cell_type": "code",
    "metadata": {},
    "source": [
+    "\n",
+    "from autolens import setup_notebook; setup_notebook()\n",
     "\n",
     "print(__doc__)\n"
    ],

start_here.py

@@ -49,4 +49,6 @@
 Open `scripts/chapter_1_introduction/tutorial_0_visualization.py` (or the `.ipynb` equivalent) and start there.
 """
 
+# from autolens import setup_notebook; setup_notebook()
+
 print(__doc__)