docs: remove the Finished./Finish. notebook-generation crutch

markdown/overview/overview_1_the_basics.md

@@ -2773,11 +2773,3 @@ plt.close()
 
 ![png](overview_1_the_basics_files/overview_1_the_basics_77_0.png)
 
-
-
-Finish.
-
-
-```python
-
-```

notebooks/cookbooks/analysis.ipynb

@@ -1007,13 +1007,6 @@
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/cookbooks/samples.ipynb

@@ -939,17 +939,10 @@
     "print(\n",
     "    \"All parameters of the very first sample (containing only the Gaussian normalization and sigma).\"\n",
     ")\n",
-    "print(samples.parameter_lists[0])"
+    "print(samples.parameter_lists[0])\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/features/interpolate.ipynb

@@ -448,17 +448,10 @@
     "    f\"Gaussian centre of fit at t = 2: {instance_at_time(ml_instances_list, 2).gaussian.centre}\"\n",
     ")\n",
     "\n",
-    "print(f\"Gaussian centre interpolated at t = 1.5 {instance.gaussian.centre}\")"
+    "print(f\"Gaussian centre interpolated at t = 1.5 {instance.gaussian.centre}\")\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/features/search_grid_search.ipynb

@@ -557,17 +557,10 @@
     "#     model=model,\n",
     "#     analysis=analysis,\n",
     "#     grid_priors=[model.gaussian_feature.centre, model.gaussian_main.centre],\n",
-    "# )"
+    "# )\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/features/sensitivity_mapping.ipynb

@@ -792,17 +792,10 @@
    "metadata": {},
    "source": [
     "print(sensitivity_result.samples)\n",
-    "print(sensitivity_result.log_evidences_base)"
+    "print(sensitivity_result.log_evidences_base)\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/overview/overview_1_the_basics.ipynb

@@ -1334,17 +1334,10 @@
     "plt.xlabel(\"x values of profile\")\n",
     "plt.ylabel(\"Profile normalization\")\n",
     "plt.show()\n",
-    "plt.close()"
+    "plt.close()\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/plot/dynesty_plotter.ipynb

@@ -510,17 +510,10 @@
     "    plt.close()\n",
     "\n",
     "except ValueError:\n",
-    "    pass"
+    "    pass\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/plot/emcee_plotter.ipynb

@@ -324,17 +324,10 @@
     "\n",
     "axes[-1].set_xlabel(\"step number\")\n",
     "\n",
-    "plt.show()"
+    "plt.show()\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/plot/zeus_plotter.ipynb

@@ -297,17 +297,10 @@
     "\n",
     "axes[-1].set_xlabel(\"step number\")\n",
     "\n",
-    "plt.show()"
+    "plt.show()\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/searches/start_point.ipynb

@@ -330,17 +330,10 @@
     "\n",
     "print(samples.parameter_lists[0])\n",
     "print(samples.parameter_lists[1])\n",
-    "print(samples.parameter_lists[2])"
+    "print(samples.parameter_lists[2])\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

notebooks/simulators/simulators.ipynb

@@ -448,17 +448,10 @@
     "\n",
     "dataset_path = path.join(\"dataset\", \"example_1d\", \"gaussian_x1_variable\", \"sigma_2\")\n",
     "gaussian = af.ex.Gaussian(centre=50.0, normalization=50.0, sigma=30.0)\n",
-    "util.simulate_dataset_1d_via_gaussian_from(gaussian=gaussian, dataset_path=dataset_path)"
+    "util.simulate_dataset_1d_via_gaussian_from(gaussian=gaussian, dataset_path=dataset_path)\n"
    ],
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finish."
-   ]
   }
  ],
  "metadata": {

scripts/cookbooks/analysis.py

@@ -820,8 +820,3 @@ def save_results(self, paths: af.DirectoryPaths, result: af.Result):
 
         with open(file_path, "w+") as f:
             json.dump(model_data, f, indent=4)
-
-
-"""
-Finish.
-"""

scripts/cookbooks/samples.py

@@ -584,7 +584,3 @@
     "All parameters of the very first sample (containing only the Gaussian normalization and sigma)."
 )
 print(samples.parameter_lists[0])
-
-"""
-Finish.
-"""

scripts/features/interpolate.py

@@ -294,7 +294,3 @@ def instance_at_time(instances, time):
 )
 
 print(f"Gaussian centre interpolated at t = 1.5 {instance.gaussian.centre}")
-
-"""
-Finish.
-"""

scripts/features/search_grid_search.py

@@ -334,7 +334,3 @@
 #     analysis=analysis,
 #     grid_priors=[model.gaussian_feature.centre, model.gaussian_main.centre],
 # )
-
-"""
-Finish.
-"""

scripts/features/sensitivity_mapping.py

@@ -573,7 +573,3 @@ def __call__(self, dataset, model, paths, instance):
 """
 print(sensitivity_result.samples)
 print(sensitivity_result.log_evidences_base)
-
-"""
-Finish.
-"""

scripts/overview/overview_1_the_basics.py

@@ -873,7 +873,3 @@ def log_likelihood_function(self, instance) -> float:
 plt.ylabel("Profile normalization")
 plt.show()
 plt.close()
-
-"""
-Finish.
-"""

scripts/plot/dynesty_plotter.py

@@ -333,7 +333,3 @@
 
 except ValueError:
     pass
-
-"""
-Finish.
-"""

scripts/plot/emcee_plotter.py

@@ -189,7 +189,3 @@
 axes[-1].set_xlabel("step number")
 
 plt.show()
-
-"""
-Finish.
-"""

scripts/plot/zeus_plotter.py

@@ -174,7 +174,3 @@
 axes[-1].set_xlabel("step number")
 
 plt.show()
-
-"""
-Finish.
-"""

scripts/searches/start_point.py

@@ -186,7 +186,3 @@
 print(samples.parameter_lists[0])
 print(samples.parameter_lists[1])
 print(samples.parameter_lists[2])
-
-"""
-Finish.
-"""

scripts/simulators/simulators.py

@@ -205,7 +205,3 @@
 dataset_path = path.join("dataset", "example_1d", "gaussian_x1_variable", "sigma_2")
 gaussian = af.ex.Gaussian(centre=50.0, normalization=50.0, sigma=30.0)
 util.simulate_dataset_1d_via_gaussian_from(gaussian=gaussian, dataset_path=dataset_path)
-
-"""
-Finish.
-"""