diff --git a/analysis/analysis.ipynb b/analysis/analysis.ipynb
index d43703d..ee39612 100644
--- a/analysis/analysis.ipynb
+++ b/analysis/analysis.ipynb
@@ -27,11 +27,12 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
- "experiment_folder = \"casestudy_example\"\n",
+ "#experiment_folder = \"casestudy_example\"\n",
+ "experiment_folder = \"casestudy_wildfire_drone\"\n",
"experiment_name = \"cs_example_edf\"\n",
"\n",
"experiment_file = os.path.join(results_dir, experiment_folder, experiment_name + \".json\")\n",
@@ -60,7 +61,7 @@
"text": [
"Number of records: 12055\n",
"First record: {'entry': {'operation': 'start_work', 'chain': 0, 'node': 'node_0', 'count': 500, 'next_release_us': 99890}, 'time': 0.0001}\n",
- "Operation types: ['get_next_executable', 'end_work', 'next_deadline', 'wait_for_work', 'start_work']\n"
+ "Operation types: ['wait_for_work', 'get_next_executable', 'next_deadline', 'end_work', 'start_work']\n"
]
}
],
@@ -164,18 +165,18 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "98aed7649afd4e958ddfe602039f901b",
+ "model_id": "eabdbc0b05594f0bbbb97b9b63edf92e",
"version_major": 2,
"version_minor": 0
},
- "image/png": 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",
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",
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