Remove parquet extension and re-run tests

Author: zmbc

tests/model_notebooks/interactive/executed/interactive_simulation_gestational_age.ipynb

@@ -202,7 +202,7 @@
     "def read_results(result_file_name, baseline_only=True):\n",
     "    all_locations_results = []\n",
     "    for location, result_dir in results_dirs.items():\n",
-    "        location_results = pd.read_parquet(result_dir / f'{result_file_name}.parquet').drop(columns=['measure','entity','sub_entity','entity_type'])\n",
+    "        location_results = pd.read_parquet(result_dir / f'{result_file_name}').drop(columns=['measure','entity','sub_entity','entity_type'])\n",
     "        location_results['location'] = location\n",
     "        if 'scenario' not in location_results.columns:\n",
     "            location_results['scenario'] = 'baseline'\n",

tests/model_notebooks/interactive/executed/interactive_simulation_hemoglobin.ipynb

@@ -153,9 +153,9 @@
     "    for location, result_dir in results_dirs.items():\n",
     "        if baseline_only:\n",
     "           filters = [('scenario', '==', 'baseline')]\n",
-    "           location_results = pd.read_parquet(result_dir / f'{result_file_name}.parquet', filters=filters)\n",
+    "           location_results = pd.read_parquet(result_dir / f'{result_file_name}', filters=filters)\n",
     "        else:\n",
-    "            location_results = pd.read_parquet(result_dir / f'{result_file_name}.parquet')\n",
+    "            location_results = pd.read_parquet(result_dir / f'{result_file_name}')\n",
     "        location_results['location'] = location\n",
     "\n",
     "        if baseline_only:\n",

tests/model_notebooks/results/executed/facility_choice.ipynb

@@ -149,9 +149,9 @@
     "    for location, result_dir in results_dirs.items():\n",
     "        if baseline_only:\n",
     "           filters = [('scenario', '==', 'baseline')]\n",
-    "           location_results = pd.read_parquet(result_dir / f'{result_file_name}.parquet', filters=filters).drop(columns=['measure','entity','sub_entity','entity_type'])\n",
+    "           location_results = pd.read_parquet(result_dir / f'{result_file_name}', filters=filters).drop(columns=['measure','entity','sub_entity','entity_type'])\n",
     "        else:\n",
-    "            location_results = pd.read_parquet(result_dir / f'{result_file_name}.parquet').drop(columns=['measure','entity','sub_entity','entity_type'])\n",
+    "            location_results = pd.read_parquet(result_dir / f'{result_file_name}').drop(columns=['measure','entity','sub_entity','entity_type'])\n",
     "        location_results['location'] = location\n",
     "        #if 'scenario' not in location_results.columns:\n",
     "        #    location_results['scenario'] = 'baseline'\n",