{
  "paper_sha256": "d0e814c5b965bffccfcdb5e6fe542c9d6d64dfe199e9d0c9814a0c5194bc6b79",
  "source_sha256": "bcb4f96a59ecca7e566e81349596e0ca901b5d8f74cfbe62116d949da53df71c",
  "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": 1.2906796999959624,
  "command": "python example.py --output outputs",
  "seed_policy": "No random sampling.",
  "output_sha256": {
    "amplification.csv": "4b018f7518ebb1da7c68a5a8b8770ec12a3de7184706c5fc60abb76400295a53",
    "closure_stages.csv": "cf7bece026f22745d06e5804d5f4c3d40d2bb71b67b749ef6692f3bdc9d28cb1",
    "console.txt": "841b4e4f780bc5198012806866f5619d0f31bb9517d77e2414a6c2f71b42eb41",
    "correspondence.png": "e97d2dd260794fd028903e8b4d45a57809fb252c13bfda750e090fc0533cbe8d",
    "correspondence.svg": "8b501b08cb6e154f1d05d1201c3498b60ab5098950af6692e4653e429f6c3759",
    "covers.csv": "3f30002a37cb6bf82a4e8876f57c5912f76839ad31133603fb8b5470d4e12aa3",
    "irreducible_gap.csv": "ce85d162fb0d29758108344a6a80fcf43f2a8ad584363ba5c5e2b8e86a6fa381",
    "irreducible_gap.png": "3854b3fa0f8941f593ffcf82132582817412d94abaf4d87070c17d7ef9c30a06",
    "irreducible_gap.svg": "3fc4811f101596e5ce6ab6f6c1e9244537de37d710ed775a3a081c9007b1eba5",
    "network.json": "d4e3157bac3dc6dfa1962ffcbfe05905efc379aef4b3830a80acf2b1470c39e0",
    "summary.json": "fa960d802c170c631b055f4e9a4068470ed6ddd0e9aad2e90b5a65928433ec4d"
  }
}
