{
  "paper_sha256": "0b534fbc24da9d3482699977e9f464b3fc7a5e5b48e1ae46a720b9ff4f9bcd44",
  "source_sha256": "c89eb2d6a158dcd875d1c057a494e4f41c6f99379d189b9a98b457fd758abb61",
  "python": "3.11.0",
  "matplotlib": "3.10.5",
  "platform": "Windows-10-10.0.26200-SP0",
  "processor": "AMD64 Family 25 Model 80 Stepping 0, AuthenticAMD",
  "elapsed_seconds": 4.21947530000034,
  "command": "python example.py --output outputs",
  "seed_policy": "No random sampling.",
  "output_sha256": {
    "blockers.json": "bde65825deaf61b9ae5d56bea5ec78ff3a0e392f73269d70f6fc2b431dc7a40f",
    "closure.csv": "5db864e40ccc9897cbd7cbd825d8cd444ae781ade8639f2a0c8cd798cfb5b793",
    "console.txt": "126046e4f161aef4b8b1f0d0a82e77bf54e010740354cb55fa2987db2dcb9b9b",
    "exhaustive_checks.csv": "78bf6ab30a2ebd0a402c379f07d34e9800a7ad198d05491b55e92caea4f33e88",
    "layers.csv": "ae0dbe89f377b2d31f6e63b8a4eb8fa8b5f57a9e04199844ea18e90a57e5e0cc",
    "layers.png": "bd8e5159c7167861a50d1b9a003d30b69522770b9384b337a3733cf82b431566",
    "layers.svg": "809172b223de7d7afc55f8547ff3fbcb09e0d04d58160eb7327e5fabf9f3d83d",
    "marker_scaling.csv": "35be2a5efd3e25d85d3fb31162c0480f2a66ba8b3f2cb9bf7205a900642b3a48",
    "markers.png": "8ae6103235dcc5be4658eb824c6e16743d18610f9bd30973278e870a6514778a",
    "markers.svg": "d705170951d261420d4f3f01889ec51b67f9e788298af24c02f3aeaadfbe2f15",
    "network.json": "831f297799551a0abd751829687008a7e54fba675034adbfa53632bfcd6b52fa",
    "paired_network.json": "dfbf2c9af3ffb9c11dff91eb4186f428e779a708f2734a26eaf5189e0bb4e747",
    "summary.json": "7c76095b90f294ba035ece9a6bd46fab204c62057c8892ad19d39ba839bd16dd"
  }
}