run simulations in tutorials on CI; merge duplicated files for settings and simulation acros condensation tutorial and Pyrcel example (#1600)

Author: AgnieszkaZaba

examples/PySDM_examples/Pyrcel/simulation.py

@@ -91,7 +91,9 @@ def _save(self, output):
                 attr[drop_id].append(attr_data[drop_id])
         super()._save(output)
 
-    def run(self):
+    def run(self, observers=()):
+        for observer in observers:
+            self.particulator.observers.append(observer)
         output_products = super()._run(
             self.settings.nt, self.settings.steps_per_output_interval
         )

examples/PySDM_examples/Pyrcel/tutorial_settings.py

@@ -24,8 +24,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-12-05T22:12:53.537976Z",
-     "start_time": "2024-12-05T22:12:53.509740Z"
+     "end_time": "2025-05-15T15:58:05.775543Z",
+     "start_time": "2025-05-15T15:58:05.772087Z"
     }
    },
    "source": [
@@ -36,7 +36,7 @@
     "    pip_install_on_colab('PySDM-examples')"
    ],
    "outputs": [],
-   "execution_count": 5
+   "execution_count": 6
   },
   {
    "metadata": {},
@@ -72,8 +72,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-12-05T22:12:53.555929Z",
-     "start_time": "2024-12-05T22:12:53.542388Z"
+     "end_time": "2025-05-15T15:58:05.785980Z",
+     "start_time": "2025-05-15T15:58:05.784129Z"
     }
    },
    "source": [
@@ -92,14 +92,14 @@
     "from PySDM_examples.Shima_et_al_2009.tutorial_example import run"
    ],
    "outputs": [],
-   "execution_count": 6
+   "execution_count": 7
   },
   {
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-12-05T22:12:53.589430Z",
-     "start_time": "2024-12-05T22:12:53.577604Z"
+     "end_time": "2025-05-15T15:58:05.797240Z",
+     "start_time": "2025-05-15T15:58:05.792780Z"
     }
    },
    "source": [
@@ -128,7 +128,7 @@
     "            plotter.show()"
    ],
    "outputs": [],
-   "execution_count": 7
+   "execution_count": 8
   },
   {
    "cell_type": "markdown",
@@ -151,8 +151,8 @@
      "is_executing": true
     },
     "ExecuteTime": {
-     "end_time": "2024-12-05T22:12:55.865731Z",
-     "start_time": "2024-12-05T22:12:53.596622Z"
+     "end_time": "2025-05-15T15:58:07.011791Z",
+     "start_time": "2025-05-15T15:58:05.806155Z"
     }
    },
    "source": [
@@ -174,7 +174,9 @@
     "progbar = widgets.IntProgress(min=0, max=100, description='%')\n",
     "\n",
     "if 'CI' not in os.environ:\n",
-    "    widgets.display(sliders, boxes, progbar, widgets.interactive_output(demo, inputs))"
+    "    widgets.display(sliders, boxes, progbar, widgets.interactive_output(demo, inputs))\n",
+    "else:\n",
+    "    demo(**{k:v.value for k,v in inputs.items()})"
    ],
    "outputs": [
     {
@@ -185,7 +187,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "bdfd1e87e43745bebed2fee0a1bc4c5f"
+       "model_id": "3496ed2134e4414eaa22d17c076cadd3"
       }
      },
      "metadata": {},
@@ -199,7 +201,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "76294dfff7c94e12a6c7bc50d74b2b70"
+       "model_id": "93a049b67eb841fd922feab04fddbc06"
       }
      },
      "metadata": {},
@@ -213,7 +215,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "a698fc09aef847e28bf5b94321de4d19"
+       "model_id": "40f367276c294cecbe7b87c0d53a698a"
       }
      },
      "metadata": {},
@@ -227,14 +229,14 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "c2a987c930ec456ba119b36c4661d99b"
+       "model_id": "33aaa5a61fc14d8c9b281049c0cbfb82"
       }
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 8
+   "execution_count": 9
   },
   {
    "cell_type": "markdown",
@@ -255,18 +257,6 @@
     "\n",
     "4. How does the mean radius of the droplets affect the collision rate? "
    ]
-  },
-  {
-   "cell_type": "code",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2024-12-05T22:12:55.882614Z",
-     "start_time": "2024-12-05T22:12:55.881190Z"
-    }
-   },
-   "source": [],
-   "outputs": [],
-   "execution_count": null
   }
  ],
  "metadata": {