{"binding_sha256":"1b016220cbe3fd04df200035917e99f7dbdf5a73246c4f428f491d67be95611c","candidate_digest":"d1109d8f78aaccf949ec4f664d9e62584c3cca33032030518bc3e2d712239112","derivation_inputs":{"generation":1,"hermes_wheel_sha256":"f8b3c779c58435dd33f8f9bbc89e9823bd09f81367a27366c6d678270c1860b1","hermetic_ty":{"binary_member":"ty-0.0.21.data/scripts/ty","binary_member_sha256":"a7c67f977d2684af6eb4c0ecc011e6e8e3227180353fd9be46bc7371a2f88d16","builder_tool_sha256":"5cb2f50db314248d1009bb002532085450adc95bf2d32678d9d4d9445b360e40","corrected_ty_wheel_sha256":"932d4552233cfbaa325ddc3db5982150a37f437cf94a332eb3869052148bfe4c","qualification_interpreter_role":"selected_qualification_python","runner_tool_sha256":"5219060e85ab40391fe674a6ccb5f9c34769f33a5f089f3e83f57d229d738090","schema":"task26-preexecution-hermetic-ty-binding-v2","target_python_version":"3.12","ty_command_argv":["sealed-ty","check","gateway/platforms/nutrition_coaching.py","--output-format","gitlab","--python-version","3.12"],"ty_version":"0.0.21"},"profile_wheel_sha256":"a56da2417df0912f3fe407c0b78befd7362207d1c8a35271000af46701ba79d2","qualification_tool_sha256":{"candidate_authority":"faec2e5616e399f02df82ce5e12d8d94ca79cbe3eb9d8a96446f673866eca431","candidate_derivation":"cce86510481bd6918e86e1d580a80ea5d4f6a0362a3dbfe02110a47d79a6cdb8","commit_observer":"a0dfca77dadc4cfc80946f27ebe344f22559410edaa7fb843a779796701826cc","delivered_bundle_sealer":"6d2ae683562ce61e3cb2a22d4e97f776d9d1cd43b68b713fbfb3be02e9fcf986","dualcoach_controller":"0f7dacb7184035630f9313da73d72a68416dff4e1d8c3f476886c7ae789bd26a","evidence_contract":"1ecb5d824507f9ea57e4646bb418ebd5750e79244748d298598890a456e8d9c3","final_state":"8b9d988d28b86df48269910c8343f6a07b9f7b2756f8ec023a05d00e975d1caa","frozen_bootstrap":"4017e046815ffb6c354d921e7a24e2de82f41955f01b98531ed80fd9236612f5","independent_candidate_verifier":"40bf1f53e6cc11f546481e639baaba92cc97cd0e28e9302d59ba2b9dbe8cc454","installed_provenance":"ada06a424325e2f1ae19f45d6fafba655ae85735987b760816fc9beef03ae7ae","local_telegram_qa":"2af9cbab2e90b8ab2144c5853059d7e881075c52cbca8725906a0afe269ebfd4","runtime_authority":"bdda6013d1f1ca9c6b192323bd3c4ffd0fa36119af155e4938ddaeae6374214e","source_golden_path":"c7bd689372d11fd6b2082105d8ba803ea81958d24f420e70c06164417a4dddc2","telegram_adapter":"7c69e6f4ed57872a1e46596dade19648933702f94f086d576022d124ef505d48","ty_hermetic_runner":"5219060e85ab40391fe674a6ccb5f9c34769f33a5f089f3e83f57d229d738090","ty_surface_gate":"856727e10c80599bd05de913194cc8c7f215f325dd75aa573493359313c283d7","ty_wheel_builder":"5cb2f50db314248d1009bb002532085450adc95bf2d32678d9d4d9445b360e40","verify_source_golden_path":"6f43a1792d18f8b3d0213a899695bb36c91bb0d88b0f0ee6bf19477308f3fad4"},"schema":"task26-preexecution-product-derivation-inputs-v1","trust_boundary_sha256":"1273abc223a8f1eb6d4adb5178d5ab466d68bbcc365b33364cf6d7ef602410c6","wheelhouse_entry_count":107,"wheelhouse_inventory_sha256":"b7cab3f2f8ed09e552c77640d3f4b364fa8aba22dc524b50854a74050bfe13f4"},"schema":"task26-preexecution-product-binding-v1"}
