chore(all): minor lint + re-run notebooks

Author: amyheather

notebooks/analysis.ipynb

@@ -762,7 +762,13 @@
       "There are 4 scenarios. Running:\n",
       "{'patient_inter': 3, 'number_of_nurses': 6}\n",
       "{'patient_inter': 3, 'number_of_nurses': 7}\n",
-      "{'patient_inter': 4, 'number_of_nurses': 6}\n",
+      "{'patient_inter': 4, 'number_of_nurses': 6}\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "{'patient_inter': 4, 'number_of_nurses': 7}\n"
      ]
     },

notebooks/choosing_cores.ipynb

@@ -82,11 +82,11 @@
       "    \u001b[32m'env'\u001b[0m: \u001b[32m'\u001b[0m\u001b[32m<\u001b[0m\u001b[32msimpy.core.Environment\u001b[0m\u001b[32m>'\u001b[0m\u001b[39m,\u001b[0m                                                                             \n",
       "\u001b[39m    \u001b[0m\u001b[32m'nurse'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<simulation.model.MonitoredResource>'\u001b[0m\u001b[39m,\u001b[0m                                                               \n",
       "\u001b[39m    \u001b[0m\u001b[32m'nurse_consult_count'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;36m0\u001b[0m\u001b[39m,\u001b[0m                                                                                      \n",
-      "\u001b[39m    \u001b[0m\u001b[32m'nurse_consult_time_dist'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<simulation.model.Exponential>'\u001b[0m\u001b[39m,\u001b[0m                                                   \n",
+      "\u001b[39m    \u001b[0m\u001b[32m'nurse_consult_time_dist'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<sim_tools.distributions.Exponential>'\u001b[0m\u001b[39m,\u001b[0m                                            \n",
       "\u001b[39m    \u001b[0m\u001b[32m'nurse_time_used'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;36m0\u001b[0m\u001b[39m,\u001b[0m                                                                                          \n",
       "\u001b[39m    \u001b[0m\u001b[32m'nurse_time_used_correction'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;36m0\u001b[0m\u001b[39m,\u001b[0m                                                                               \n",
       "\u001b[39m    \u001b[0m\u001b[32m'param'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<simulation.model.Param>'\u001b[0m\u001b[39m,\u001b[0m                                                                           \n",
-      "\u001b[39m    \u001b[0m\u001b[32m'patient_inter_arrival_dist'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<simulation.model.Exponential\u001b[0m\u001b[32m>\u001b[0m\u001b[32m'\u001b[0m,                                                \n",
+      "\u001b[39m    \u001b[0m\u001b[32m'patient_inter_arrival_dist'\u001b[0m\u001b[39m: \u001b[0m\u001b[32m'<sim_tools.distributions.Exponential\u001b[0m\u001b[32m>\u001b[0m\u001b[32m'\u001b[0m,                                         \n",
       "    \u001b[32m'patients'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,                                                                                                \n",
       "    \u001b[32m'results_list'\u001b[0m: \u001b[1m[\u001b[0m\u001b[1m]\u001b[0m,                                                                                            \n",
       "    \u001b[32m'run_number'\u001b[0m: \u001b[1;36m0\u001b[0m,                                                                                               \n",

notebooks/choosing_replications.ipynb

@@ -4,11 +4,11 @@
     'env': '<simpy.core.Environment>',
     'nurse': '<simulation.model.MonitoredResource>',
     'nurse_consult_count': 0,
-    'nurse_consult_time_dist': '<simulation.model.Exponential>',
+    'nurse_consult_time_dist': '<sim_tools.distributions.Exponential>',
     'nurse_time_used': 0,
     'nurse_time_used_correction': 0,
     'param': '<simulation.model.Param>',
-    'patient_inter_arrival_dist': '<simulation.model.Exponential>',
+    'patient_inter_arrival_dist': '<sim_tools.distributions.Exponential>',
     'patients': [],
     'results_list': [],
     'run_number': 0,

notebooks/choosing_warmup.ipynb

@@ -766,7 +766,7 @@ def plotly_confidence_interval_method(
             x=conf_ints['replications'],
             y=conf_ints['upper_ci'],
             mode='lines',
-            line=dict(width=0),
+            line={'width': 0},
             showlegend=False,
             name='Upper CI',
             text=[f'Deviation: {d}%' for d in deviation_pct]
@@ -777,7 +777,7 @@ def plotly_confidence_interval_method(
             x=conf_ints['replications'],
             y=conf_ints['lower_ci'],
             mode='lines',
-            line=dict(width=0),
+            line={'width': 0},
             fill='tonexty',  # Fill to previous y trace
             fillcolor='rgba(0, 176, 185, 0.2)',  # Semi-transparent fill
             name='Confidence interval'