diff --git a/.vscode/settings.json b/.vscode/settings.json
index 4c6bf62..23b056c 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -70,5 +70,12 @@
         "typeindex": "cpp",
         "typeinfo": "cpp",
         "variant": "cpp"
-    }
+    },
+    "cmake.ignoreCMakeListsMissing": true,
+    "python.autoComplete.extraPaths": [
+        "/opt/ros/foxy/lib/python3.8/site-packages"
+    ],
+    "python.analysis.extraPaths": [
+        "/opt/ros/foxy/lib/python3.8/site-packages"
+    ]
 }
\ No newline at end of file
diff --git a/analysis/analysis.ipynb b/analysis/analysis.ipynb
index 5c7b860..af74126 100644
--- a/analysis/analysis.ipynb
+++ b/analysis/analysis.ipynb
@@ -58,9 +58,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of records:  12118\n",
-      "First record:  {'entry': {'operation': 'start_work', 'chain': 0, 'node': 'node_0', 'count': 500, 'next_release_us': 99886}, 'time': 0.0001}\n",
-      "Operation types:  ['get_next_executable', 'next_deadline', 'wait_for_work', 'end_work', 'start_work']\n"
+      "Number of records:  12035\n",
+      "First record:  {'entry': {'operation': 'start_work', 'chain': 0, 'node': 'node_0', 'count': 500, 'next_release_us': 99436}, 'time': 0.000101}\n",
+      "Operation types:  ['next_deadline', 'wait_for_work', 'get_next_executable', 'start_work', 'end_work']\n"
      ]
     }
    ],
@@ -164,18 +164,18 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3c172c35015c4ffd92a176ce80ffd18d",
+       "model_id": "5f9cc11846554ad4968929054ae2ba3c",
        "version_major": 2,
        "version_minor": 0
       },
-      "image/png": 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",
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",
       "text/html": [
        "\n",
        "            <div style=\"display: inline-block;\">\n",
        "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
        "                    Figure\n",
        "                </div>\n",
-       "                <img 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' 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+       "                <img 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' width=640.0/>\n",
        "            </div>\n",
        "        "
       ],
@@ -205,15 +205,7 @@
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[Deadline(chain_id=1, deadline=0.0003, on_time=1), Deadline(chain_id=0, deadline=0.0003, on_time=0), Deadline(chain_id=0, deadline=0.0004, on_time=1), Deadline(chain_id=1, deadline=0.0004, on_time=0), Deadline(chain_id=1, deadline=0.0005, on_time=1), Deadline(chain_id=0, deadline=0.0005, on_time=1), Deadline(chain_id=0, deadline=0.0006, on_time=1), Deadline(chain_id=1, deadline=0.0006, on_time=1), Deadline(chain_id=0, deadline=0.0007, on_time=1), Deadline(chain_id=1, deadline=0.0007, on_time=1), Deadline(chain_id=1, deadline=0.0008, on_time=1), Deadline(chain_id=0, deadline=0.0008, on_time=1), Deadline(chain_id=0, deadline=0.0009, on_time=1), Deadline(chain_id=1, deadline=0.0009, on_time=1), Deadline(chain_id=1, deadline=0.001, on_time=1), Deadline(chain_id=0, deadline=0.001, on_time=1), Deadline(chain_id=0, deadline=0.0011, on_time=1), Deadline(chain_id=1, deadline=0.0011, on_time=1), Deadline(chain_id=1, deadline=0.0012, on_time=1), Deadline(chain_id=0, deadline=0.0012, on_time=1), Deadline(chain_id=0, deadline=0.0013, on_time=1), Deadline(chain_id=1, deadline=0.0013, on_time=1), Deadline(chain_id=1, deadline=0.0014, on_time=1), Deadline(chain_id=0, deadline=0.0014, on_time=1), Deadline(chain_id=1, deadline=0.0015, on_time=1), Deadline(chain_id=0, deadline=0.0015, on_time=1), Deadline(chain_id=1, deadline=0.0016, on_time=1), Deadline(chain_id=0, deadline=0.0016, on_time=1), Deadline(chain_id=0, deadline=0.0017, on_time=1), Deadline(chain_id=1, deadline=0.0017, on_time=1), Deadline(chain_id=1, deadline=0.0018, on_time=1), Deadline(chain_id=0, deadline=0.0018, on_time=1), Deadline(chain_id=0, deadline=0.0019, on_time=1), Deadline(chain_id=1, deadline=0.0019, on_time=1), Deadline(chain_id=1, deadline=0.002, on_time=1), Deadline(chain_id=0, deadline=0.002, on_time=1), Deadline(chain_id=0, deadline=0.0021, on_time=1), Deadline(chain_id=1, deadline=0.0021, on_time=0), Deadline(chain_id=1, deadline=0.0022, on_time=1), Deadline(chain_id=0, deadline=0.0022, on_time=1), Deadline(chain_id=1, deadline=0.0023, on_time=1), Deadline(chain_id=0, deadline=0.0023, on_time=1), Deadline(chain_id=0, deadline=0.0024, on_time=1), Deadline(chain_id=1, deadline=0.0024, on_time=1), Deadline(chain_id=0, deadline=0.0025, on_time=1), Deadline(chain_id=1, deadline=0.0025, on_time=1), Deadline(chain_id=1, deadline=0.0026, on_time=1), Deadline(chain_id=0, deadline=0.0026, on_time=1), Deadline(chain_id=0, deadline=0.0027, on_time=1), Deadline(chain_id=1, deadline=0.0027, on_time=1), Deadline(chain_id=1, deadline=0.0028, on_time=1), Deadline(chain_id=0, deadline=0.0028, on_time=1), Deadline(chain_id=0, deadline=0.0029, on_time=1), Deadline(chain_id=1, deadline=0.0029, on_time=1), Deadline(chain_id=1, deadline=0.003, on_time=1), Deadline(chain_id=0, deadline=0.003, on_time=1), Deadline(chain_id=0, deadline=0.0031, on_time=1), Deadline(chain_id=1, deadline=0.0031, on_time=0), Deadline(chain_id=1, deadline=0.0032, on_time=1), Deadline(chain_id=0, deadline=0.0032, on_time=0), Deadline(chain_id=1, deadline=0.0033, on_time=1), Deadline(chain_id=0, deadline=0.0033, on_time=0), Deadline(chain_id=1, deadline=0.0034, on_time=1), Deadline(chain_id=0, deadline=0.0034, on_time=1), Deadline(chain_id=0, deadline=0.0035, on_time=1), Deadline(chain_id=1, deadline=0.0035, on_time=0), Deadline(chain_id=0, deadline=0.0036, on_time=1), Deadline(chain_id=1, deadline=0.0036, on_time=1), Deadline(chain_id=0, deadline=0.0037, on_time=1), Deadline(chain_id=1, deadline=0.0037, on_time=0), Deadline(chain_id=1, deadline=0.0038, on_time=1), Deadline(chain_id=0, deadline=0.0038, on_time=0), Deadline(chain_id=0, deadline=0.0039, on_time=1), Deadline(chain_id=1, deadline=0.0039, on_time=0), Deadline(chain_id=1, deadline=0.004, on_time=1), Deadline(chain_id=0, deadline=0.004, on_time=0), Deadline(chain_id=0, deadline=0.0041, on_time=1), Deadline(chain_id=1, deadline=0.0041, on_time=0), Deadline(chain_id=0, deadline=0.0042, on_time=1), Deadline(chain_id=1, deadline=0.0042, on_time=0), Deadline(chain_id=1, deadline=0.0043, on_time=1), Deadline(chain_id=0, deadline=0.0043, on_time=0), Deadline(chain_id=1, deadline=0.0044, on_time=1), Deadline(chain_id=0, deadline=0.0044, on_time=0), Deadline(chain_id=0, deadline=0.0045, on_time=1), Deadline(chain_id=1, deadline=0.0045, on_time=1), Deadline(chain_id=1, deadline=0.0046, on_time=1), Deadline(chain_id=0, deadline=0.0046, on_time=0), Deadline(chain_id=1, deadline=0.0047, on_time=1), Deadline(chain_id=0, deadline=0.0047, on_time=0), Deadline(chain_id=0, deadline=0.0048, on_time=1), Deadline(chain_id=1, deadline=0.0048, on_time=0), Deadline(chain_id=0, deadline=0.0049, on_time=1), Deadline(chain_id=1, deadline=0.0049, on_time=0), Deadline(chain_id=0, deadline=0.005, on_time=1), Deadline(chain_id=1, deadline=0.005, on_time=0), Deadline(chain_id=1, deadline=0.0051, on_time=1), Deadline(chain_id=0, deadline=0.0051, on_time=0), Deadline(chain_id=0, deadline=0.0052, on_time=1), Deadline(chain_id=1, deadline=0.0052, on_time=0), Deadline(chain_id=1, deadline=0.0053, on_time=1), Deadline(chain_id=0, deadline=0.0053, on_time=0), Deadline(chain_id=1, deadline=0.0054, on_time=1), Deadline(chain_id=0, deadline=0.0054, on_time=0), Deadline(chain_id=1, deadline=0.0055, on_time=1), Deadline(chain_id=0, deadline=0.0055, on_time=0), Deadline(chain_id=0, deadline=0.0056, on_time=1), Deadline(chain_id=1, deadline=0.0056, on_time=0), Deadline(chain_id=0, deadline=0.0057, on_time=1), Deadline(chain_id=1, deadline=0.0057, on_time=0), Deadline(chain_id=1, deadline=0.0058, on_time=1), Deadline(chain_id=0, deadline=0.0058, on_time=1), Deadline(chain_id=0, deadline=0.0059, on_time=1), Deadline(chain_id=1, deadline=0.0059, on_time=0), Deadline(chain_id=0, deadline=0.006, on_time=1), Deadline(chain_id=1, deadline=0.006, on_time=0), Deadline(chain_id=1, deadline=0.0061, on_time=1), Deadline(chain_id=0, deadline=0.0061, on_time=0), Deadline(chain_id=1, deadline=0.0062, on_time=1), Deadline(chain_id=0, deadline=0.0062, 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on_time=1), Deadline(chain_id=0, deadline=0.0193, on_time=1), Deadline(chain_id=1, deadline=0.0193, on_time=1), Deadline(chain_id=1, deadline=0.0194, on_time=1), Deadline(chain_id=0, deadline=0.0194, on_time=1), Deadline(chain_id=0, deadline=0.0195, on_time=1), Deadline(chain_id=1, deadline=0.0195, on_time=1), Deadline(chain_id=1, deadline=0.0196, on_time=1), Deadline(chain_id=0, deadline=0.0196, on_time=1), Deadline(chain_id=1, deadline=0.0197, on_time=1), Deadline(chain_id=0, deadline=0.0197, on_time=1), Deadline(chain_id=0, deadline=0.0198, on_time=1), Deadline(chain_id=1, deadline=0.0198, on_time=1), Deadline(chain_id=0, deadline=0.0199, on_time=1), Deadline(chain_id=1, deadline=0.0199, on_time=1), Deadline(chain_id=1, deadline=0.02, on_time=1), Deadline(chain_id=0, deadline=0.02, on_time=1), Deadline(chain_id=0, deadline=0.0201, on_time=1), Deadline(chain_id=1, deadline=0.0201, on_time=1), Deadline(chain_id=1, deadline=0.0202, on_time=1), Deadline(chain_id=0, deadline=0.0202, on_time=1), Deadline(chain_id=0, deadline=0.0203, on_time=1), Deadline(chain_id=1, deadline=0.0203, on_time=1), Deadline(chain_id=1, deadline=0.0204, on_time=1), Deadline(chain_id=0, deadline=0.0204, on_time=1), Deadline(chain_id=0, deadline=0.0205, on_time=1), Deadline(chain_id=1, deadline=0.0205, on_time=1), Deadline(chain_id=1, deadline=0.0206, on_time=1), Deadline(chain_id=0, deadline=0.0206, on_time=1), Deadline(chain_id=1, deadline=0.0207, on_time=1), Deadline(chain_id=0, deadline=0.0207, on_time=1), Deadline(chain_id=0, deadline=0.0208, on_time=1), Deadline(chain_id=1, deadline=0.0208, on_time=1), Deadline(chain_id=0, deadline=0.0209, on_time=1), Deadline(chain_id=1, deadline=0.0209, on_time=1), Deadline(chain_id=1, deadline=0.021, on_time=1), Deadline(chain_id=0, deadline=0.021, on_time=1), Deadline(chain_id=0, deadline=0.0211, on_time=1), Deadline(chain_id=1, deadline=0.0211, on_time=1), Deadline(chain_id=1, deadline=0.0212, on_time=1), Deadline(chain_id=0, deadline=0.0212, on_time=1), Deadline(chain_id=0, deadline=0.0213, on_time=1), Deadline(chain_id=1, deadline=0.0213, on_time=1), Deadline(chain_id=1, deadline=0.0214, on_time=1), Deadline(chain_id=0, deadline=0.0214, on_time=1), Deadline(chain_id=0, deadline=0.0215, on_time=1), Deadline(chain_id=1, deadline=0.0215, on_time=1), Deadline(chain_id=1, deadline=0.0216, on_time=1), Deadline(chain_id=0, deadline=0.0216, on_time=1), Deadline(chain_id=0, deadline=0.0217, on_time=1), Deadline(chain_id=1, deadline=0.0217, on_time=1), Deadline(chain_id=1, deadline=0.0218, on_time=1), Deadline(chain_id=0, deadline=0.0218, on_time=1), Deadline(chain_id=0, deadline=0.0219, on_time=1), Deadline(chain_id=1, deadline=0.0219, on_time=1), Deadline(chain_id=1, deadline=0.022, on_time=1), Deadline(chain_id=0, deadline=0.022, on_time=1), Deadline(chain_id=0, deadline=0.0221, on_time=1), Deadline(chain_id=1, deadline=0.0221, on_time=1), Deadline(chain_id=1, deadline=0.0222, on_time=1), Deadline(chain_id=0, deadline=0.0222, on_time=1), Deadline(chain_id=0, deadline=0.0223, on_time=1), Deadline(chain_id=1, deadline=0.0223, on_time=1), Deadline(chain_id=0, deadline=0.0224, on_time=1), Deadline(chain_id=1, deadline=0.0224, on_time=1), Deadline(chain_id=0, deadline=0.0225, on_time=1), Deadline(chain_id=1, deadline=0.0225, on_time=1), Deadline(chain_id=1, deadline=0.0226, on_time=1), Deadline(chain_id=0, deadline=0.0226, on_time=1), Deadline(chain_id=0, deadline=0.0227, on_time=1), Deadline(chain_id=1, deadline=0.0227, on_time=1), Deadline(chain_id=1, deadline=0.0228, on_time=1), Deadline(chain_id=0, deadline=0.0228, on_time=1), Deadline(chain_id=0, deadline=0.0229, on_time=1), Deadline(chain_id=1, deadline=0.0229, on_time=1), Deadline(chain_id=1, deadline=0.023, on_time=1), Deadline(chain_id=0, deadline=0.023, on_time=1), Deadline(chain_id=0, deadline=0.0231, on_time=1), Deadline(chain_id=1, deadline=0.0231, on_time=1), Deadline(chain_id=1, deadline=0.0232, on_time=1), Deadline(chain_id=0, deadline=0.0232, on_time=1), Deadline(chain_id=0, deadline=0.0233, on_time=1), Deadline(chain_id=1, deadline=0.0233, on_time=1), Deadline(chain_id=1, deadline=0.0234, on_time=1), Deadline(chain_id=0, deadline=0.0234, on_time=1), Deadline(chain_id=0, deadline=0.0235, on_time=1), Deadline(chain_id=1, deadline=0.0235, on_time=1), Deadline(chain_id=1, deadline=0.0236, on_time=1), Deadline(chain_id=0, deadline=0.0236, on_time=1), Deadline(chain_id=0, deadline=0.0237, on_time=1), Deadline(chain_id=1, deadline=0.0237, on_time=1), Deadline(chain_id=0, deadline=0.0238, on_time=1), Deadline(chain_id=1, deadline=0.0238, on_time=1), Deadline(chain_id=1, deadline=0.0239, on_time=1), Deadline(chain_id=0, deadline=0.0239, on_time=1), Deadline(chain_id=0, deadline=0.024, on_time=1), Deadline(chain_id=1, deadline=0.024, on_time=1), Deadline(chain_id=1, deadline=0.0241, on_time=1), Deadline(chain_id=0, deadline=0.0241, on_time=1), Deadline(chain_id=1, deadline=0.0242, on_time=1), Deadline(chain_id=0, deadline=0.0242, on_time=1), Deadline(chain_id=1, deadline=0.0243, on_time=1), Deadline(chain_id=0, deadline=0.0243, on_time=1), Deadline(chain_id=0, deadline=0.0244, on_time=1), Deadline(chain_id=1, deadline=0.0244, on_time=1), Deadline(chain_id=0, deadline=0.0245, on_time=1), Deadline(chain_id=1, deadline=0.0245, on_time=1), Deadline(chain_id=1, deadline=0.0246, on_time=1), Deadline(chain_id=0, deadline=0.0246, on_time=1), Deadline(chain_id=0, deadline=0.0247, on_time=1), Deadline(chain_id=1, deadline=0.0247, on_time=1), Deadline(chain_id=0, deadline=0.0248, on_time=1), Deadline(chain_id=1, deadline=0.0248, on_time=1), Deadline(chain_id=1, deadline=0.0249, on_time=1), Deadline(chain_id=0, deadline=0.0249, on_time=1), Deadline(chain_id=1, deadline=0.025, on_time=1), Deadline(chain_id=0, deadline=0.025, on_time=1), Deadline(chain_id=0, deadline=0.0251, on_time=1), Deadline(chain_id=1, deadline=0.0251, on_time=1), Deadline(chain_id=0, deadline=0.0252, on_time=1), Deadline(chain_id=1, deadline=0.0252, on_time=1), Deadline(chain_id=1, deadline=0.0253, on_time=1), Deadline(chain_id=0, deadline=0.0253, on_time=1), Deadline(chain_id=0, deadline=0.0254, on_time=1), Deadline(chain_id=1, deadline=0.0254, on_time=1), Deadline(chain_id=1, deadline=0.0255, on_time=1), Deadline(chain_id=0, deadline=0.0255, on_time=1), Deadline(chain_id=0, deadline=0.0256, on_time=1), Deadline(chain_id=1, deadline=0.0256, on_time=1), Deadline(chain_id=1, deadline=0.0257, on_time=1), Deadline(chain_id=0, deadline=0.0257, on_time=1), Deadline(chain_id=1, deadline=0.0258, on_time=1), Deadline(chain_id=0, deadline=0.0258, on_time=1), Deadline(chain_id=0, deadline=0.0259, on_time=1), Deadline(chain_id=1, deadline=0.0259, on_time=1), Deadline(chain_id=0, deadline=0.026, on_time=1), Deadline(chain_id=1, deadline=0.026, on_time=1), Deadline(chain_id=1, deadline=0.0261, on_time=1), Deadline(chain_id=0, deadline=0.0261, on_time=1), Deadline(chain_id=0, deadline=0.0262, on_time=1), Deadline(chain_id=1, deadline=0.0262, on_time=1), Deadline(chain_id=1, deadline=0.0263, on_time=1), Deadline(chain_id=0, deadline=0.0263, on_time=1), Deadline(chain_id=0, deadline=0.0264, on_time=1), Deadline(chain_id=1, deadline=0.0264, on_time=1), Deadline(chain_id=1, deadline=0.0265, on_time=1), Deadline(chain_id=0, deadline=0.0265, on_time=1), Deadline(chain_id=0, deadline=0.0266, on_time=1), Deadline(chain_id=1, deadline=0.0266, on_time=1), Deadline(chain_id=1, deadline=0.0267, on_time=1), Deadline(chain_id=0, deadline=0.0267, on_time=1), Deadline(chain_id=0, deadline=0.0268, on_time=1), Deadline(chain_id=1, deadline=0.0268, on_time=1), Deadline(chain_id=1, deadline=0.0269, on_time=1), Deadline(chain_id=0, deadline=0.0269, on_time=1), Deadline(chain_id=0, deadline=0.027, on_time=1), Deadline(chain_id=1, deadline=0.027, on_time=1), Deadline(chain_id=1, deadline=0.0271, on_time=1), Deadline(chain_id=0, deadline=0.0271, on_time=1), Deadline(chain_id=0, deadline=0.0272, on_time=1), Deadline(chain_id=1, deadline=0.0272, on_time=1), Deadline(chain_id=1, deadline=0.0273, on_time=1), Deadline(chain_id=0, deadline=0.0273, on_time=1), Deadline(chain_id=0, deadline=0.0274, on_time=1), Deadline(chain_id=1, deadline=0.0274, on_time=1), Deadline(chain_id=1, deadline=0.0275, on_time=1), Deadline(chain_id=0, deadline=0.0275, on_time=1), Deadline(chain_id=0, deadline=0.0276, on_time=1), Deadline(chain_id=1, deadline=0.0276, on_time=1), Deadline(chain_id=0, deadline=0.0277, on_time=1), Deadline(chain_id=1, deadline=0.0277, on_time=1), Deadline(chain_id=1, deadline=0.0278, on_time=1), Deadline(chain_id=0, deadline=0.0278, on_time=1), Deadline(chain_id=0, deadline=0.0279, on_time=1), Deadline(chain_id=1, deadline=0.0279, on_time=1), Deadline(chain_id=1, deadline=0.028, on_time=1), Deadline(chain_id=0, deadline=0.028, on_time=1), Deadline(chain_id=1, deadline=0.0281, on_time=1), Deadline(chain_id=0, deadline=0.0281, on_time=1), Deadline(chain_id=0, deadline=0.0282, on_time=1), Deadline(chain_id=1, deadline=0.0282, on_time=1), Deadline(chain_id=1, deadline=0.0283, on_time=1), Deadline(chain_id=0, deadline=0.0283, on_time=1), Deadline(chain_id=0, deadline=0.0284, on_time=1), Deadline(chain_id=1, deadline=0.0284, on_time=1), Deadline(chain_id=1, deadline=0.0285, on_time=1), Deadline(chain_id=0, deadline=0.0285, on_time=1), Deadline(chain_id=0, deadline=0.0286, on_time=1), Deadline(chain_id=1, deadline=0.0286, on_time=1), Deadline(chain_id=1, deadline=0.0287, on_time=1), Deadline(chain_id=0, deadline=0.0287, on_time=1), Deadline(chain_id=0, deadline=0.0288, on_time=1), Deadline(chain_id=1, deadline=0.0288, on_time=1), Deadline(chain_id=0, deadline=0.0289, on_time=1), Deadline(chain_id=1, deadline=0.0289, on_time=1), Deadline(chain_id=0, deadline=0.029, on_time=1), Deadline(chain_id=1, deadline=0.029, on_time=1), Deadline(chain_id=1, deadline=0.0291, on_time=1), Deadline(chain_id=0, deadline=0.0291, on_time=1), Deadline(chain_id=0, deadline=0.0292, on_time=1), Deadline(chain_id=1, deadline=0.0292, on_time=1), Deadline(chain_id=1, deadline=0.0293, on_time=1), Deadline(chain_id=0, deadline=0.0293, on_time=1), Deadline(chain_id=0, deadline=0.0294, on_time=1), Deadline(chain_id=1, deadline=0.0294, on_time=1), Deadline(chain_id=1, deadline=0.0295, on_time=1), Deadline(chain_id=0, deadline=0.0295, on_time=1), Deadline(chain_id=0, deadline=0.0296, on_time=1), Deadline(chain_id=1, deadline=0.0296, on_time=1), Deadline(chain_id=1, deadline=0.0297, on_time=1), Deadline(chain_id=0, deadline=0.0297, on_time=1), Deadline(chain_id=0, deadline=0.0298, on_time=1), Deadline(chain_id=1, deadline=0.0298, on_time=1), Deadline(chain_id=1, deadline=0.0299, on_time=1), Deadline(chain_id=0, deadline=0.0299, on_time=1), Deadline(chain_id=0, deadline=0.03, on_time=1), Deadline(chain_id=1, deadline=0.03, on_time=1), Deadline(chain_id=1, deadline=0.0301, on_time=1), Deadline(chain_id=0, deadline=0.0301, on_time=1), Deadline(chain_id=0, deadline=0.0302, on_time=1), Deadline(chain_id=1, deadline=0.0302, on_time=1), Deadline(chain_id=1, deadline=0.0303, on_time=1), Deadline(chain_id=0, deadline=0.0303, on_time=1), Deadline(chain_id=1, deadline=0.0304, on_time=1), Deadline(chain_id=0, deadline=0.0304, on_time=1), Deadline(chain_id=0, deadline=0.0305, on_time=1), Deadline(chain_id=1, deadline=0.0305, on_time=1), Deadline(chain_id=0, deadline=0.0306, on_time=1), Deadline(chain_id=1, deadline=0.0306, on_time=1), Deadline(chain_id=0, deadline=0.0307, on_time=1), Deadline(chain_id=1, deadline=0.0307, on_time=1), Deadline(chain_id=1, deadline=0.0308, on_time=1), Deadline(chain_id=0, deadline=0.0308, on_time=1), Deadline(chain_id=1, deadline=0.0309, on_time=1), Deadline(chain_id=0, deadline=0.0309, on_time=1), Deadline(chain_id=1, deadline=0.031, on_time=1), Deadline(chain_id=0, deadline=0.031, on_time=1), Deadline(chain_id=1, deadline=0.0311, on_time=1), Deadline(chain_id=0, deadline=0.0311, on_time=1), Deadline(chain_id=0, deadline=0.0312, on_time=1), Deadline(chain_id=1, deadline=0.0312, on_time=1), Deadline(chain_id=0, deadline=0.0313, on_time=1), Deadline(chain_id=1, deadline=0.0313, on_time=1), Deadline(chain_id=1, deadline=0.0314, on_time=1), Deadline(chain_id=0, deadline=0.0314, on_time=1), Deadline(chain_id=0, deadline=0.0315, on_time=1), Deadline(chain_id=1, deadline=0.0315, on_time=1), Deadline(chain_id=0, deadline=0.0316, on_time=1), Deadline(chain_id=1, deadline=0.0316, on_time=1), Deadline(chain_id=1, deadline=0.0317, on_time=1), Deadline(chain_id=0, deadline=0.0317, on_time=1), Deadline(chain_id=1, deadline=0.0318, on_time=1), Deadline(chain_id=0, deadline=0.0318, on_time=1), Deadline(chain_id=0, deadline=0.0319, on_time=1), Deadline(chain_id=1, deadline=0.0319, on_time=1), Deadline(chain_id=1, deadline=0.032, on_time=1), Deadline(chain_id=0, deadline=0.032, on_time=1), Deadline(chain_id=1, deadline=0.0321, on_time=1), Deadline(chain_id=0, deadline=0.0321, on_time=1), Deadline(chain_id=0, deadline=0.0322, on_time=1), Deadline(chain_id=1, deadline=0.0322, on_time=1), Deadline(chain_id=1, deadline=0.0323, on_time=1), Deadline(chain_id=0, deadline=0.0323, on_time=1), Deadline(chain_id=0, deadline=0.0324, on_time=1), Deadline(chain_id=1, deadline=0.0324, on_time=1), Deadline(chain_id=1, deadline=0.0325, on_time=1), Deadline(chain_id=0, deadline=0.0325, on_time=1), Deadline(chain_id=0, deadline=0.0326, on_time=1), Deadline(chain_id=1, deadline=0.0326, on_time=1), Deadline(chain_id=1, deadline=0.0327, on_time=1), Deadline(chain_id=0, deadline=0.0327, on_time=1), Deadline(chain_id=1, deadline=0.0328, on_time=1), Deadline(chain_id=0, deadline=0.0328, on_time=1), Deadline(chain_id=0, deadline=0.0329, on_time=1), Deadline(chain_id=1, deadline=0.0329, on_time=1), Deadline(chain_id=1, deadline=0.033, on_time=1), Deadline(chain_id=0, deadline=0.033, on_time=1), Deadline(chain_id=1, deadline=0.0331, on_time=1), Deadline(chain_id=0, deadline=0.0331, on_time=1), Deadline(chain_id=0, deadline=0.0332, on_time=1), Deadline(chain_id=1, deadline=0.0332, on_time=1), Deadline(chain_id=1, deadline=0.0333, on_time=1), Deadline(chain_id=0, deadline=0.0333, on_time=1), Deadline(chain_id=0, deadline=0.0334, on_time=1), Deadline(chain_id=1, deadline=0.0334, on_time=1), Deadline(chain_id=1, deadline=0.0335, on_time=1), Deadline(chain_id=0, deadline=0.0335, on_time=1), Deadline(chain_id=0, deadline=0.0336, on_time=1), Deadline(chain_id=1, deadline=0.0336, on_time=1), Deadline(chain_id=0, deadline=0.0337, on_time=1), Deadline(chain_id=1, deadline=0.0337, on_time=1), Deadline(chain_id=0, deadline=0.0338, on_time=1), Deadline(chain_id=0, deadline=0.0339, on_time=1), Deadline(chain_id=1, deadline=0.0338, on_time=1), Deadline(chain_id=1, deadline=0.0339, on_time=1), Deadline(chain_id=0, deadline=0.034, on_time=1), Deadline(chain_id=1, deadline=0.034, on_time=1), Deadline(chain_id=0, deadline=0.0341, on_time=1), Deadline(chain_id=0, deadline=0.0342, on_time=1), Deadline(chain_id=1, deadline=0.0341, on_time=1), Deadline(chain_id=1, deadline=0.0342, on_time=1), Deadline(chain_id=0, deadline=0.0343, on_time=1), Deadline(chain_id=0, deadline=0.0344, on_time=1), Deadline(chain_id=1, deadline=0.0343, on_time=1), Deadline(chain_id=0, deadline=0.0345, on_time=1), Deadline(chain_id=1, deadline=0.0344, on_time=1), Deadline(chain_id=1, deadline=0.0345, on_time=1), Deadline(chain_id=0, deadline=0.0346, on_time=1), Deadline(chain_id=0, deadline=0.0347, on_time=1), Deadline(chain_id=1, deadline=0.0346, on_time=1), Deadline(chain_id=1, deadline=0.0347, on_time=1), Deadline(chain_id=0, deadline=0.0348, on_time=1), Deadline(chain_id=1, deadline=0.0348, on_time=1), Deadline(chain_id=0, deadline=0.0349, on_time=1), Deadline(chain_id=0, deadline=0.035, on_time=1), Deadline(chain_id=1, deadline=0.0349, on_time=1), Deadline(chain_id=1, deadline=0.035, on_time=1), Deadline(chain_id=0, deadline=0.0351, on_time=1), Deadline(chain_id=1, deadline=0.0351, on_time=1), Deadline(chain_id=0, deadline=0.0352, on_time=1), Deadline(chain_id=1, deadline=0.0352, on_time=1), Deadline(chain_id=0, deadline=0.0353, on_time=1), Deadline(chain_id=0, deadline=0.0354, on_time=1), Deadline(chain_id=1, deadline=0.0353, on_time=1), Deadline(chain_id=0, deadline=0.0355, on_time=1), Deadline(chain_id=1, deadline=0.0354, on_time=1), Deadline(chain_id=0, deadline=0.0356, on_time=1), Deadline(chain_id=1, deadline=0.0355, on_time=1), Deadline(chain_id=0, deadline=0.0357, on_time=1), Deadline(chain_id=1, deadline=0.0356, on_time=1), Deadline(chain_id=0, deadline=0.0358, on_time=1), Deadline(chain_id=1, deadline=0.0357, on_time=1), Deadline(chain_id=0, deadline=0.0359, on_time=1), Deadline(chain_id=1, deadline=0.0358, on_time=1), Deadline(chain_id=1, deadline=0.0359, on_time=1), Deadline(chain_id=0, deadline=0.036, on_time=1), Deadline(chain_id=0, deadline=0.0361, on_time=1), Deadline(chain_id=1, deadline=0.036, on_time=1), Deadline(chain_id=1, deadline=0.0361, on_time=1), Deadline(chain_id=0, deadline=0.0362, on_time=1), Deadline(chain_id=0, deadline=0.0363, on_time=1), Deadline(chain_id=1, deadline=0.0362, on_time=1), Deadline(chain_id=1, deadline=0.0363, on_time=1), Deadline(chain_id=0, deadline=0.0364, on_time=1), Deadline(chain_id=0, deadline=0.0365, on_time=1), Deadline(chain_id=1, deadline=0.0364, on_time=1), Deadline(chain_id=1, deadline=0.0365, on_time=1), Deadline(chain_id=0, deadline=0.0366, on_time=1), Deadline(chain_id=0, deadline=0.0367, on_time=1), Deadline(chain_id=1, deadline=0.0366, on_time=1), Deadline(chain_id=1, deadline=0.0367, on_time=1), Deadline(chain_id=0, deadline=0.0368, on_time=1), Deadline(chain_id=0, deadline=0.0369, on_time=1), Deadline(chain_id=1, deadline=0.0368, on_time=1), Deadline(chain_id=1, deadline=0.0369, on_time=1), Deadline(chain_id=0, deadline=0.037, on_time=1), Deadline(chain_id=0, deadline=0.0371, on_time=1), Deadline(chain_id=1, deadline=0.037, on_time=1), Deadline(chain_id=1, deadline=0.0371, on_time=1), Deadline(chain_id=0, deadline=0.0372, on_time=1), Deadline(chain_id=0, deadline=0.0373, on_time=1), Deadline(chain_id=1, deadline=0.0372, on_time=1), Deadline(chain_id=1, deadline=0.0373, on_time=1), Deadline(chain_id=0, deadline=0.0374, on_time=1), Deadline(chain_id=0, deadline=0.0375, on_time=1), Deadline(chain_id=1, deadline=0.0374, on_time=1), Deadline(chain_id=1, deadline=0.0375, on_time=1), Deadline(chain_id=0, deadline=0.0376, on_time=1), Deadline(chain_id=0, deadline=0.0377, on_time=1), Deadline(chain_id=1, deadline=0.0376, on_time=1), Deadline(chain_id=1, deadline=0.0377, on_time=1), Deadline(chain_id=0, deadline=0.0378, on_time=1), Deadline(chain_id=0, deadline=0.0379, on_time=1), Deadline(chain_id=1, deadline=0.0378, on_time=1), Deadline(chain_id=1, deadline=0.0379, on_time=1), Deadline(chain_id=0, deadline=0.038, on_time=1), Deadline(chain_id=0, deadline=0.0381, on_time=1), Deadline(chain_id=1, deadline=0.038, on_time=1), Deadline(chain_id=1, deadline=0.0381, on_time=1), Deadline(chain_id=0, deadline=0.0382, on_time=1), Deadline(chain_id=0, deadline=0.0383, on_time=1), Deadline(chain_id=1, deadline=0.0382, on_time=1), Deadline(chain_id=1, deadline=0.0383, on_time=1), Deadline(chain_id=0, deadline=0.0384, on_time=1), Deadline(chain_id=1, deadline=0.0384, on_time=1), Deadline(chain_id=0, deadline=0.0385, on_time=1), Deadline(chain_id=1, deadline=0.0385, on_time=1), Deadline(chain_id=0, deadline=0.0386, on_time=1), Deadline(chain_id=0, deadline=0.0387, on_time=1), Deadline(chain_id=1, deadline=0.0386, on_time=1), Deadline(chain_id=1, deadline=0.0387, on_time=1), Deadline(chain_id=0, deadline=0.0388, on_time=1), Deadline(chain_id=0, deadline=0.0389, on_time=1), Deadline(chain_id=1, deadline=0.0388, on_time=1), Deadline(chain_id=0, deadline=0.039, on_time=1), Deadline(chain_id=1, deadline=0.0389, on_time=1), Deadline(chain_id=1, deadline=0.039, on_time=1), Deadline(chain_id=0, deadline=0.0391, on_time=1), Deadline(chain_id=1, deadline=0.0391, on_time=1), Deadline(chain_id=0, deadline=0.0392, on_time=1), Deadline(chain_id=0, deadline=0.0393, on_time=1), Deadline(chain_id=1, deadline=0.0392, on_time=1), Deadline(chain_id=1, deadline=0.0393, on_time=1), Deadline(chain_id=0, deadline=0.0394, on_time=1), Deadline(chain_id=0, deadline=0.0395, on_time=1), Deadline(chain_id=1, deadline=0.0394, on_time=1), Deadline(chain_id=1, deadline=0.0395, on_time=1), Deadline(chain_id=0, deadline=0.0396, on_time=1), Deadline(chain_id=0, deadline=0.0397, on_time=1), Deadline(chain_id=1, deadline=0.0396, on_time=1), Deadline(chain_id=1, deadline=0.0397, on_time=1), Deadline(chain_id=0, deadline=0.0398, on_time=1), Deadline(chain_id=1, deadline=0.0398, on_time=1), Deadline(chain_id=0, deadline=0.0399, on_time=1), Deadline(chain_id=0, deadline=0.04, on_time=1), Deadline(chain_id=1, deadline=0.0399, on_time=1), Deadline(chain_id=1, deadline=0.04, on_time=1), Deadline(chain_id=0, deadline=0.0401, on_time=1), Deadline(chain_id=0, deadline=0.0402, on_time=1), Deadline(chain_id=1, deadline=0.0401, on_time=1), Deadline(chain_id=0, deadline=0.0403, on_time=1), Deadline(chain_id=1, deadline=0.0402, on_time=1), Deadline(chain_id=1, deadline=0.0403, on_time=1), Deadline(chain_id=0, deadline=0.0404, on_time=1), Deadline(chain_id=0, deadline=0.0405, on_time=1), Deadline(chain_id=1, deadline=0.0404, on_time=1), Deadline(chain_id=0, deadline=0.0406, on_time=1), Deadline(chain_id=1, deadline=0.0405, on_time=1), Deadline(chain_id=1, deadline=0.0406, on_time=1), Deadline(chain_id=0, deadline=0.0407, on_time=1), Deadline(chain_id=0, deadline=0.0408, on_time=1), Deadline(chain_id=1, deadline=0.0407, on_time=1), Deadline(chain_id=1, deadline=0.0408, on_time=1), Deadline(chain_id=0, deadline=0.0409, on_time=1), Deadline(chain_id=1, deadline=0.0409, on_time=1), Deadline(chain_id=0, deadline=0.041, on_time=1), Deadline(chain_id=0, deadline=0.0411, on_time=1), Deadline(chain_id=1, deadline=0.041, on_time=1), Deadline(chain_id=0, deadline=0.0412, on_time=1), Deadline(chain_id=1, deadline=0.0411, on_time=1), Deadline(chain_id=1, deadline=0.0412, on_time=1), Deadline(chain_id=0, deadline=0.0413, on_time=1), Deadline(chain_id=0, deadline=0.0414, on_time=1), Deadline(chain_id=1, deadline=0.0413, on_time=1), Deadline(chain_id=1, deadline=0.0414, on_time=1), Deadline(chain_id=0, deadline=0.0415, on_time=1), Deadline(chain_id=0, deadline=0.0416, on_time=1), Deadline(chain_id=1, deadline=0.0415, on_time=1), Deadline(chain_id=1, deadline=0.0416, on_time=1), Deadline(chain_id=0, deadline=0.0417, on_time=1), Deadline(chain_id=0, deadline=0.0418, on_time=1), Deadline(chain_id=1, deadline=0.0417, on_time=1), Deadline(chain_id=0, deadline=0.0419, on_time=1), Deadline(chain_id=1, deadline=0.0418, on_time=1), Deadline(chain_id=1, deadline=0.0419, on_time=1), Deadline(chain_id=0, deadline=0.042, on_time=1), Deadline(chain_id=1, deadline=0.042, on_time=1), Deadline(chain_id=0, deadline=0.0421, on_time=1), Deadline(chain_id=0, deadline=0.0422, on_time=1), Deadline(chain_id=1, deadline=0.0421, on_time=1), Deadline(chain_id=0, deadline=0.0423, on_time=1), Deadline(chain_id=1, deadline=0.0422, on_time=1), Deadline(chain_id=1, deadline=0.0423, on_time=1), Deadline(chain_id=0, deadline=0.0424, on_time=1), Deadline(chain_id=0, deadline=0.0425, on_time=1), Deadline(chain_id=1, deadline=0.0424, on_time=1), Deadline(chain_id=1, deadline=0.0425, on_time=1), Deadline(chain_id=0, deadline=0.0426, on_time=1), Deadline(chain_id=0, deadline=0.0427, on_time=1), Deadline(chain_id=1, deadline=0.0426, on_time=1), Deadline(chain_id=0, deadline=0.0428, on_time=1), Deadline(chain_id=1, deadline=0.0427, on_time=1), Deadline(chain_id=0, deadline=0.0429, on_time=1), Deadline(chain_id=1, deadline=0.0428, on_time=1), Deadline(chain_id=1, deadline=0.0429, on_time=1), Deadline(chain_id=0, deadline=0.043, on_time=1), Deadline(chain_id=1, deadline=0.043, on_time=1), Deadline(chain_id=0, deadline=0.0431, on_time=1), Deadline(chain_id=1, deadline=0.0431, on_time=1), Deadline(chain_id=0, deadline=0.0432, on_time=1), Deadline(chain_id=0, deadline=0.0433, on_time=1), Deadline(chain_id=1, deadline=0.0432, on_time=1), Deadline(chain_id=1, deadline=0.0433, on_time=1), Deadline(chain_id=0, deadline=0.0434, on_time=1), Deadline(chain_id=1, deadline=0.0434, on_time=1), Deadline(chain_id=0, deadline=0.0435, on_time=1), Deadline(chain_id=0, deadline=0.0436, on_time=1), Deadline(chain_id=1, deadline=0.0435, on_time=1), Deadline(chain_id=0, deadline=0.0437, on_time=1), Deadline(chain_id=1, deadline=0.0436, on_time=1), Deadline(chain_id=1, deadline=0.0437, on_time=1), Deadline(chain_id=0, deadline=0.0438, on_time=1), Deadline(chain_id=1, deadline=0.0438, on_time=1), Deadline(chain_id=0, deadline=0.0439, on_time=1), Deadline(chain_id=1, deadline=0.0439, on_time=1), Deadline(chain_id=0, deadline=0.044, on_time=1), Deadline(chain_id=0, deadline=0.0441, on_time=1), Deadline(chain_id=1, deadline=0.044, on_time=1), Deadline(chain_id=1, deadline=0.0441, on_time=1), Deadline(chain_id=0, deadline=0.0442, on_time=1), Deadline(chain_id=1, deadline=0.0442, on_time=1), Deadline(chain_id=0, deadline=0.0443, on_time=1), Deadline(chain_id=1, deadline=0.0443, on_time=1), Deadline(chain_id=0, deadline=0.0444, on_time=1), Deadline(chain_id=1, deadline=0.0444, on_time=1), Deadline(chain_id=0, deadline=0.0445, on_time=1), Deadline(chain_id=1, deadline=0.0445, on_time=1), Deadline(chain_id=0, deadline=0.0446, on_time=1), Deadline(chain_id=1, deadline=0.0446, on_time=1), Deadline(chain_id=0, deadline=0.0447, on_time=1), Deadline(chain_id=1, deadline=0.0447, on_time=1), Deadline(chain_id=0, deadline=0.0448, on_time=1), Deadline(chain_id=1, deadline=0.0448, on_time=1), Deadline(chain_id=0, deadline=0.0449, on_time=1), Deadline(chain_id=0, deadline=0.045, on_time=1), Deadline(chain_id=1, deadline=0.0449, on_time=1), Deadline(chain_id=1, deadline=0.045, on_time=1), Deadline(chain_id=0, deadline=0.0451, on_time=1), Deadline(chain_id=1, deadline=0.0451, on_time=1), Deadline(chain_id=0, deadline=0.0452, on_time=1), Deadline(chain_id=1, deadline=0.0452, on_time=1), Deadline(chain_id=0, deadline=0.0453, on_time=1), Deadline(chain_id=1, deadline=0.0453, on_time=1), Deadline(chain_id=0, deadline=0.0454, on_time=1), Deadline(chain_id=1, deadline=0.0454, on_time=1), Deadline(chain_id=0, deadline=0.0455, on_time=1), Deadline(chain_id=0, deadline=0.0456, on_time=1), Deadline(chain_id=1, deadline=0.0455, on_time=1), Deadline(chain_id=0, deadline=0.0457, on_time=1), Deadline(chain_id=1, deadline=0.0456, on_time=1), Deadline(chain_id=0, deadline=0.0458, on_time=1), Deadline(chain_id=0, deadline=0.0459, on_time=1), Deadline(chain_id=1, deadline=0.0457, on_time=1), Deadline(chain_id=0, deadline=0.046, on_time=1), Deadline(chain_id=1, deadline=0.0458, on_time=1), Deadline(chain_id=1, deadline=0.0459, on_time=1), Deadline(chain_id=0, deadline=0.0461, on_time=1), Deadline(chain_id=1, deadline=0.046, on_time=1), Deadline(chain_id=0, deadline=0.0462, on_time=1), Deadline(chain_id=1, deadline=0.0461, on_time=1), Deadline(chain_id=0, deadline=0.0463, on_time=1), Deadline(chain_id=0, deadline=0.0464, on_time=1), Deadline(chain_id=1, deadline=0.0462, on_time=1), Deadline(chain_id=1, deadline=0.0463, on_time=1), Deadline(chain_id=0, deadline=0.0465, on_time=1), Deadline(chain_id=1, deadline=0.0464, on_time=1), Deadline(chain_id=0, deadline=0.0466, on_time=1), Deadline(chain_id=0, deadline=0.0467, on_time=1), Deadline(chain_id=1, deadline=0.0465, on_time=1), Deadline(chain_id=1, deadline=0.0466, on_time=1), Deadline(chain_id=0, deadline=0.0468, on_time=1), Deadline(chain_id=1, deadline=0.0467, on_time=1), Deadline(chain_id=0, deadline=0.0469, on_time=1), Deadline(chain_id=1, deadline=0.0468, on_time=1), Deadline(chain_id=0, deadline=0.047, on_time=1), Deadline(chain_id=1, deadline=0.0469, on_time=1), Deadline(chain_id=0, deadline=0.0471, on_time=1), Deadline(chain_id=1, deadline=0.047, on_time=1), Deadline(chain_id=0, deadline=0.0472, on_time=1), Deadline(chain_id=1, deadline=0.0471, on_time=1), Deadline(chain_id=0, deadline=0.0473, on_time=1), Deadline(chain_id=0, deadline=0.0474, on_time=1), Deadline(chain_id=1, deadline=0.0472, on_time=1), Deadline(chain_id=1, deadline=0.0473, on_time=1), Deadline(chain_id=0, deadline=0.0475, on_time=1), Deadline(chain_id=1, deadline=0.0474, on_time=1), Deadline(chain_id=0, deadline=0.0476, on_time=1), Deadline(chain_id=0, deadline=0.0477, on_time=1), Deadline(chain_id=1, deadline=0.0475, on_time=1), Deadline(chain_id=0, deadline=0.0478, on_time=1), Deadline(chain_id=1, deadline=0.0476, on_time=1), Deadline(chain_id=1, deadline=0.0477, on_time=1), Deadline(chain_id=0, deadline=0.0479, on_time=1), Deadline(chain_id=1, deadline=0.0478, on_time=1), Deadline(chain_id=0, deadline=0.048, on_time=1), Deadline(chain_id=1, deadline=0.0479, on_time=1), Deadline(chain_id=0, deadline=0.0481, on_time=1), Deadline(chain_id=1, deadline=0.048, on_time=1), Deadline(chain_id=0, deadline=0.0482, on_time=1), Deadline(chain_id=1, deadline=0.0481, on_time=1), Deadline(chain_id=0, deadline=0.0483, on_time=1), Deadline(chain_id=0, deadline=0.0484, on_time=1), Deadline(chain_id=1, deadline=0.0482, on_time=1), Deadline(chain_id=1, deadline=0.0483, on_time=1), Deadline(chain_id=0, deadline=0.0485, on_time=1), Deadline(chain_id=1, deadline=0.0484, on_time=1), Deadline(chain_id=0, deadline=0.0486, on_time=1), Deadline(chain_id=0, deadline=0.0487, on_time=1), Deadline(chain_id=1, deadline=0.0485, on_time=1), Deadline(chain_id=0, deadline=0.0488, on_time=1), Deadline(chain_id=1, deadline=0.0486, on_time=1), Deadline(chain_id=0, deadline=0.0489, on_time=1), Deadline(chain_id=1, deadline=0.0487, on_time=1), Deadline(chain_id=0, deadline=0.049, on_time=1), Deadline(chain_id=1, deadline=0.0488, on_time=1), Deadline(chain_id=1, deadline=0.0489, on_time=1), Deadline(chain_id=0, deadline=0.0491, on_time=1), Deadline(chain_id=1, deadline=0.049, on_time=1), Deadline(chain_id=0, deadline=0.0492, on_time=1), Deadline(chain_id=1, deadline=0.0491, on_time=1), Deadline(chain_id=0, deadline=0.0493, on_time=1), Deadline(chain_id=1, deadline=0.0492, on_time=1), Deadline(chain_id=0, deadline=0.0494, on_time=1), Deadline(chain_id=0, deadline=0.0495, on_time=1), Deadline(chain_id=1, deadline=0.0493, on_time=1), Deadline(chain_id=1, deadline=0.0494, on_time=1), Deadline(chain_id=0, deadline=0.0496, on_time=1), Deadline(chain_id=1, deadline=0.0495, on_time=1), Deadline(chain_id=0, deadline=0.0497, on_time=1), Deadline(chain_id=0, deadline=0.0498, on_time=1), Deadline(chain_id=1, deadline=0.0496, on_time=1), Deadline(chain_id=1, deadline=0.0497, on_time=1), Deadline(chain_id=0, deadline=0.0499, on_time=1), Deadline(chain_id=1, deadline=0.0498, on_time=1), Deadline(chain_id=0, deadline=0.05, on_time=1), Deadline(chain_id=1, deadline=0.0499, on_time=1), Deadline(chain_id=0, deadline=0.0501, on_time=1), Deadline(chain_id=1, deadline=0.05, on_time=1), Deadline(chain_id=0, deadline=0.0502, on_time=1), Deadline(chain_id=1, deadline=0.0501, on_time=1), Deadline(chain_id=0, deadline=0.0503, on_time=1), Deadline(chain_id=1, deadline=0.0502, on_time=1), Deadline(chain_id=0, deadline=0.0504, on_time=1)]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "@dataclass\n",
     "class Deadline:\n",
@@ -239,18 +231,18 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4b5ad85d09334daea239c16327571d7f",
+       "model_id": "6bb50c1987ec45a2b25dc1cdee9e794c",
        "version_major": 2,
        "version_minor": 0
       },
-      "image/png": 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",
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",
       "text/html": [
        "\n",
        "            <div style=\"display: inline-block;\">\n",
        "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
        "                    Figure\n",
        "                </div>\n",
-       "                <img 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' 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+       "                <img 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' width=640.0/>\n",
        "            </div>\n",
        "        "
       ],
diff --git a/results/casestudy_example/cs_example_edf.json b/results/casestudy_example/cs_example_edf.json
index ce0336c..03709b0 100644
--- a/results/casestudy_example/cs_example_edf.json
+++ b/results/casestudy_example/cs_example_edf.json
@@ -1,12119 +1,12036 @@
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+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10651972},
+{"entry": {"operation": "wait_for_work", "wait_duration": 5}, "time": 10651981},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10651981},
+{"entry": {"operation": "wait_for_work", "wait_duration": 242}, "time": 10651981},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10651981},
+{"entry": {"operation": "wait_for_work", "wait_duration": 77974}, "time": 10652059},
+{"entry": {"operation": "get_next_executable", "duration": 4, "result": 1}, "time": 10652059},
+{"entry": {"operation": "wait_for_work", "wait_duration": 15}, "time": 10652059},
+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10652059},
+{"entry": {"operation": "wait_for_work", "wait_duration": 6}, "time": 10652069},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652069},
+{"entry": {"operation": "wait_for_work", "wait_duration": 162}, "time": 10652069},
+{"entry": {"operation": "get_next_executable", "duration": 2, "result": 1}, "time": 10652069},
+{"entry": {"operation": "wait_for_work", "wait_duration": 14}, "time": 10652070},
+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10652070},
+{"entry": {"operation": "wait_for_work", "wait_duration": 8}, "time": 10652078},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652078},
+{"entry": {"operation": "wait_for_work", "wait_duration": 291}, "time": 10652079},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652079},
+{"entry": {"operation": "wait_for_work", "wait_duration": 80750}, "time": 10652159},
+{"entry": {"operation": "get_next_executable", "duration": 5, "result": 1}, "time": 10652159},
+{"entry": {"operation": "wait_for_work", "wait_duration": 35}, "time": 10652160},
+{"entry": {"operation": "get_next_executable", "duration": 2, "result": 1}, "time": 10652160},
+{"entry": {"operation": "wait_for_work", "wait_duration": 25}, "time": 10652173},
+{"entry": {"operation": "get_next_executable", "duration": 2, "result": 1}, "time": 10652173},
+{"entry": {"operation": "wait_for_work", "wait_duration": 11}, "time": 10652173},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652173},
+{"entry": {"operation": "wait_for_work", "wait_duration": 15}, "time": 10652173},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 1}, "time": 10652173},
+{"entry": {"operation": "wait_for_work", "wait_duration": 18}, "time": 10652185},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652185},
+{"entry": {"operation": "wait_for_work", "wait_duration": 293}, "time": 10652186},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652186},
+{"entry": {"operation": "wait_for_work", "wait_duration": 73597}, "time": 10652259},
+{"entry": {"operation": "get_next_executable", "duration": 4, "result": 1}, "time": 10652259},
+{"entry": {"operation": "wait_for_work", "wait_duration": 21}, "time": 10652260},
+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10652260},
+{"entry": {"operation": "wait_for_work", "wait_duration": 9}, "time": 10652269},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652269},
+{"entry": {"operation": "wait_for_work", "wait_duration": 225}, "time": 10652269},
+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10652269},
+{"entry": {"operation": "wait_for_work", "wait_duration": 10}, "time": 10652269},
+{"entry": {"operation": "get_next_executable", "duration": 1, "result": 1}, "time": 10652269},
+{"entry": {"operation": "wait_for_work", "wait_duration": 8}, "time": 10652278},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652278},
+{"entry": {"operation": "wait_for_work", "wait_duration": 182}, "time": 10652278},
+{"entry": {"operation": "get_next_executable", "duration": 0, "result": 0}, "time": 10652278},
+{"entry": {"operation": "wait_for_work", "wait_duration": 81669}, "time": 10652360},
+{"entry": {"operation": "get_next_executable", "duration": 11, "result": 1}, "time": 10652360},
+{"entry": {"operation": "wait_for_work", "wait_duration": 62}, "time": 10652360},
+{"entry": {"operation": "get_next_executable", "duration": 6, "result": 1}, "time": 10652360},
+{"entry": {"operation": "next_deadline", "chain_id": 0, "deadline": 10602559}, "time": 10602359},
+{"entry": {"operation": "next_deadline", "chain_id": 1, "deadline": 10602559}, "time": 10602359}]
diff --git a/src/casestudy/CMakeLists.txt b/src/casestudy/CMakeLists.txt
index 1429fd9..3148a7c 100755
--- a/src/casestudy/CMakeLists.txt
+++ b/src/casestudy/CMakeLists.txt
@@ -25,6 +25,7 @@ set(EXPERIMENTS
   casestudy_2024ours_latency
   casestudy_2024ours_executor2executor
   casestudy_example
+  casestudy_fire_drone
 )
 
 # Function to create experiment targets
diff --git a/src/casestudy/src/casestudy_fire_drone.cpp b/src/casestudy/src/casestudy_fire_drone.cpp
new file mode 100644
index 0000000..409a7e9
--- /dev/null
+++ b/src/casestudy/src/casestudy_fire_drone.cpp
@@ -0,0 +1,172 @@
+#include "casestudy_tools/experiment.hpp"
+#include "casestudy_tools/primes_workload.hpp"
+
+#include "priority_executor/priority_executor.hpp"
+#include "priority_executor/priority_memory_strategy.hpp"
+
+#include <rclcpp/rclcpp.hpp>
+
+#include <atomic>
+#include <chrono>
+#include <memory>
+#include <thread>
+#include <iostream>
+
+#include <sys/prctl.h>
+
+// bool should_do_task = true;
+std::atomic<bool> should_do_task(true);
+
+void run_one_executor(
+    std::function<void(std::atomic<bool>&)> const& exec_fun,
+    int const idx) {
+    (void)idx;
+    // cpu_set_t cpuset;
+    // CPU_ZERO(&cpuset);
+    // CPU_SET(0, &cpuset);
+    // CPU_SET(1, &cpuset);
+    // CPU_SET(2, &cpuset);
+    // CPU_SET(3, &cpuset);
+
+    // int result = sched_setaffinity(0, sizeof(cpu_set_t), &cpuset);
+    // if (result != 0)
+    // {
+    //   std::cout << "ros_experiment: sched_setaffinity failed: " << result << ": " << strerror(errno) << std::endl;
+    // }
+
+    // set this process to second highest priority
+    struct sched_param param;
+    param.sched_priority = sched_get_priority_max(SCHED_FIFO) - 2;
+    int const result = sched_setscheduler(0, SCHED_FIFO, &param);
+    
+    if (result != 0) {
+        std::cerr << "ros_experiment: sched_setscheduler failed: " << result 
+                  << ": " << strerror(errno) << std::endl;
+        std::cerr << "This operation requires root privileges. Please run the program with sufficient permissions." 
+                  << std::endl;
+#ifndef WIN_DOCKER_IS_BROKEN
+        exit(EXIT_FAILURE);
+#else
+        // Windows Docker workaround: just print the error and continue
+        std::cerr << "Continuing without setting scheduler, fuck Windows" << std::endl;
+#endif
+    }
+    
+    // Set the process name to "ros_experiment" for easier identification during debugging or system monitoring.
+    prctl(PR_SET_NAME, "ros_experiment", 0, 0, 0);
+    exec_fun(should_do_task);
+}
+
+int ros_experiment(
+    int const argc,
+    char** const argv,
+    std::string const& file_name,
+    ExperimentConfig config) {
+    
+    rclcpp::init(argc, argv);
+    
+    // we have to create a node to process any passed parameters
+    auto const node = rclcpp::Node::make_shared("experiment_parameters");
+    node->declare_parameter("executor_type", "edf");
+
+    std::string executor_type;
+    node->get_parameter("executor_type", executor_type);
+    std::cout << "using executor type: " << executor_type << std::endl;
+
+    config.executor_type = executor_type;
+    // Enable parallel mode for the experiment configuration.
+    // When set to true, this allows multiple executors to run concurrently,
+    // leveraging multi-threading to improve performance on multi-core systems.
+    config.parallel_mode = true;
+    config.nodes.push_back(node);
+
+    Experiment experiment(config);
+    // std::string result_log = experiment.run(should_do_task);
+    auto const exec_funs = experiment.getRunFunctions();
+    std::cout << "got " << exec_funs.size() << " executors" << std::endl;
+    
+    std::vector<std::thread> exec_threads;
+    int i = 0;
+    experiment.resetTimers();
+    
+    for (auto const& exec_fun : exec_funs) {
+        exec_threads.emplace_back(run_one_executor, exec_fun, i++);
+    }
+
+    for (auto& t : exec_threads) {
+        t.join();
+    }
+    
+    std::string const outputname = "casestudy_example";
+    experiment.writeLogsToFile(file_name, outputname);
+
+/*
+    // Create a PriorityMemoryStrategy instance
+    auto strat = std::make_shared<priority_executor::PriorityMemoryStrategy<>>();
+
+    // Atomic flags to control the chains
+    std::atomic<bool> fire_detection_running{true};
+    std::atomic<bool> image_processing_running{true};
+    std::atomic<bool> data_streaming_running{true};
+    std::atomic<bool> flight_control_running{true};
+
+    // Launch chains in separate threads
+
+
+    // Run for a fixed duration (e.g., 10 seconds)
+    std::this_thread::sleep_for(std::chrono::seconds(10));
+
+    // Stop all chains
+    fire_detection_running.store(false);
+    image_processing_running.store(false);
+    data_streaming_running.store(false);
+    flight_control_running.store(false);
+
+    // Join threads
+    fire_detection_thread.join();
+    image_processing_thread.join();
+    data_streaming_thread.join();
+    flight_control_thread.join();
+
+    std::cout << "All chains stopped. Exiting..." << std::endl;
+*/
+
+    rclcpp::shutdown();
+    return 0;
+}
+
+int main(int argc, char* argv[]) {
+    // calibrate the dummy load for the current system
+    calibrate_dummy_load();
+
+    ExperimentConfig config;
+    config.chain_lengths = {2, 2};
+    config.node_ids = {{0, 1}, {2, 3}};
+    config.node_priorities = {1, 0, 3, 2};
+    config.chain_timer_control = {0, 1};
+
+    config.node_runtimes = {10, 10, 10, 10};
+    // node 0 has a period of 80, and is the only timer
+    config.chain_periods = {100, 100};
+    config.node_executor_assignments = {};
+    config.parallel_mode = true;
+    config.cores = 2;
+
+    sanity_check_config(config);
+
+    std::thread ros_task([&]() {
+        try {
+            ros_experiment(argc, argv, "cs_example", config);
+        } catch (std::exception const& e) {
+            std::cerr << "Exception in ros_experiment: " << e.what() << std::endl;
+        } catch (...) {
+            std::cerr << "Unknown exception in ros_experiment." << std::endl;
+        }
+    });
+    
+    std::cout << "tasks started" << std::endl;
+    ros_task.join();
+    std::cout << "tasks joined" << std::endl;
+    
+    return 0;
+}
diff --git a/src/casestudy_tools/include/casestudy_tools/experiment.hpp b/src/casestudy_tools/include/casestudy_tools/experiment.hpp
index 4e4467f..5254e98 100755
--- a/src/casestudy_tools/include/casestudy_tools/experiment.hpp
+++ b/src/casestudy_tools/include/casestudy_tools/experiment.hpp
@@ -8,7 +8,8 @@
 #include "casestudy_tools/test_nodes.hpp"
 #include "simple_timer/rt-sched.hpp"
 
-struct ExperimentConfig {
+struct ExperimentConfig
+{
     std::vector<uint32_t> chain_lengths;
     // TODO: rename to callback_ids
     std::vector<std::vector<uint32_t>> node_ids;
@@ -44,13 +45,15 @@ struct ExperimentConfig {
     std::vector<std::string> special_cases;
 };
 
-struct experiment_executor {
+struct experiment_executor
+{
     std::shared_ptr<priority_executor::TimedExecutor> executor;
     std::shared_ptr<priority_executor::PriorityMemoryStrategy<>> strat;
     std::shared_ptr<rclcpp::Executor> default_executor;
 };
 
-class Experiment {
+class Experiment
+{
 public:
     explicit Experiment(ExperimentConfig config);
 
@@ -60,7 +63,7 @@ public:
      *        The flag will be set to false when the experiment is complete.
      * @return std::string containing experiment results
      */
-    std::string run(std::atomic<bool>& should_do_task);
+    std::string run(std::atomic<bool> &should_do_task);
 
     /**
      * @brief Get the functions required to run the experiment
@@ -70,7 +73,7 @@ public:
      *         Each function accepts a flag that can be set to false to stop the experiment.
      *         The flag will be set to false when the experiment is complete.
      */
-    std::vector<std::function<void(std::atomic<bool>&)>> getRunFunctions();
+    std::vector<std::function<void(std::atomic<bool> &)>> getRunFunctions();
 
     static size_t numExecutorsRequired(ExperimentConfig const &config);
 
@@ -98,7 +101,7 @@ private:
     std::vector<experiment_executor> executors;
 
     // Chain-indexed vector of deques of deadlines
-    std::vector<std::deque<uint64_t>*> chain_deadlines_deque;
+    std::vector<std::deque<uint64_t> *> chain_deadlines_deque;
     // Maps node_id to node
     std::map<uint32_t, std::shared_ptr<CaseStudyNode>> nodes;
     // Maps chain_id to timer
@@ -130,7 +133,7 @@ private:
     node_time_logger _logger;
 };
 
-int do_other_task(double work_time, uint period, std::atomic<bool>& should_do_task);
+int do_other_task(double work_time, uint period, std::atomic<bool> &should_do_task);
 void sanity_check_config(ExperimentConfig const &config);
 
-#endif  // RTIS_EXPERIMENT_HOST
\ No newline at end of file
+#endif // RTIS_EXPERIMENT_HOST
\ No newline at end of file