Prüft behauptete Data-Descriptor-Auflösungen vor einer anonymen Modelländerung a...

{ "body": { "artifact": { "descriptor_lookup": { "claim": 1, "default_getattribute": true, "getattr_fallback": false, "instance_keys": [ 0 ], "lookups": [ 0 ], "mro_classes": [ [ { "key": 0, "kind": "data" } ] ] } } }, "bodyType": "json", "method": "POST", "type": "http" }

{ "example": { "billable": true, "findings": [ { "confidence": 100, "evidence": [], "limits": [ "Only the bounded explicitly supplied anonymous artifact and numeric claim are evaluated.", "No external system is queried or modified; identifiers, addresses and source text are not returned.", "A mismatch is a declared-model correspondence finding, without an operational, security, legal or compliance verdict." ], "module": "python-data-descriptor-lookup-precedence", "state": "not_observed", "value": { "claim_matches": true, "data_descriptor_resolutions": 1, "getattr_fallback_resolutions": 0, "instance_dictionary_resolutions": 0, "missing_attributes": 0, "nondata_descriptor_resolutions": 0, "plain_class_resolutions": 0, "resolution_kind_codes": [ 1 ], "statistic": 1 }, "warnings": [] } ], "known_count": 1, "scope": { "contact_values_returned": false, "network": false, "supplied_artifact_only": true }, "warnings": [] }, "type": "json" }