| Name | Type | Description | Notes |
|---|
| analysis_id | int | Analysis the candidate's binary belongs to | |
| binary_id | int | Binary the candidate belongs to | |
| binary_name | str | Binary name | |
| confidence | float | Softmax-normalised confidence over the candidate pool | |
| debug | bool | Whether the candidate's name came from debug info | |
| function_id | int | Candidate function ID | |
| function_name | str | Candidate function name | |
| function_vaddr | int | Candidate's virtual address inside its binary | |
| mangled_name | str | Mangled name when available | |
| sha_256_hash | str | SHA-256 of the candidate's binary | |
| similarity | float | Cosine similarity scaled to a percentage | |
fromrevengai.models.matched_functionimportMatchedFunction# TODO update the JSON string belowjson="{}"# create an instance of MatchedFunction from a JSON stringmatched_function_instance=MatchedFunction.from_json(json)
# print the JSON string representation of the objectprint(MatchedFunction.to_json())
# convert the object into a dictmatched_function_dict=matched_function_instance.to_dict()
# create an instance of MatchedFunction from a dictmatched_function_from_dict=MatchedFunction.from_dict(matched_function_dict)[Back to Model list][Back to API list][Back to README]