{
  "version": "2026-10-15.academy.1",
  "sha256": {
    "orders.csv": "0a2a27be7a2bd79bc35c74cebd243d58db60d9a15a262e0a58d61f4292038225",
    "order_lines.csv": "bb8b08cebd8f47aca6583dd44ee3d80d0a95cd9d2f88b5ac1df14dc33f20fc71",
    "products.csv": "800b76283c28999193a560dcd65ec5c15f1b86f6e709d3f9c9d7377c3dee636a",
    "products.json": "a98634d6804191c33e30735ceeeaf560822bb3346877d403388217c51ce84f20",
    "setup.sql": "b9c14cea7c66a70bef34ac794e158c0495a974bcc64c118ee23b212650502bfc",
    "data_dictionary.txt": "7a982196e2d44ceeea198ba9f736a8dc66614b4af1547912786ca36cb590f812",
    "worked_lab.py.txt": "b51aa26854e949412301c4e47b862cdf60505d04e50e3a4f0a2eeca722bf7033",
    "requirements.txt": "a2e25503911cf735f325a2c1d46e81d42800f2517a2fb92529559ad47913070d",
    "expected_results.json": "1cd43c99e6b70b1495eaddf1f697f98c1a147ccc97dceb8e5c053e596ac2ab1b",
    "practice_starter.py.txt": "f1b7a1a44131fe8b24326b6f155c5d7dfbc015f2cd274b136246a7e600466a3a",
    "learner_worksheet.txt": "cb5c913e08836cda066e9b3624533779f1836420b5cab858a68c74db4091612c",
    "worked_solutions.txt": "032dea9a559d240dfe5eb4bef39061c86d395e470d710d5f9d844ce6ee0396fd",
    "evidence_template.txt": "984f7fa5a058e42a40275867b7369bde07f6b71bdcfcf5d0a9a5f61ae984abfc",
    "review_rubric.txt": "e754dcf48a925ef378e5bad30fbdf7e1b169b1f41601df5591bd0cf975633b53",
    "setup_guide.txt": "0e27e3bcbb15829e5aaf1083d7319be8924f097dd7ce7bcc301abc26e40d18d7",
    "worked_reference.html": "3d2a0d85d28c7de508673e553970184c5c4f169585104af665995583a459014b",
    "README.txt": "6820d80684f665d579d77f170cca0a74557fdd850846af162f5eebf978e7e4a8"
  }
}