Add the missing setup_notebook() line to HowToLens tutorial scripts

Every workspace/tutorial script opens with

    # from autolens import setup_notebook; setup_notebook()

right after the module docstring; the line chdir's to the workspace root and
enables inline plotting when the generated notebook is run. A handful of
scripts never got it. Without it a tutorial that loads data by a relative path
(or shells out to a simulator) fails under nbconvert, which runs with CWD set
to the notebook's own directory, and works interactively only if the user
happened to launch jupyter from the repo root.

This is the full audit of every chapter in the repo (plus the root
start_here.py): the missing line is added in the sibling convention's exact
position and the generated notebooks are updated to match, uncommented, the
way PyAutoHands emits them.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0126SmBwHMzP4okcjhjPoLFZ

Author: claude

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