| 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 |
|
from revengai.models.matched_function import MatchedFunction
# TODO update the JSON string below
json = "{}"
# create an instance of MatchedFunction from a JSON string
matched_function_instance = MatchedFunction.from_json(json)
# print the JSON string representation of the object
print(MatchedFunction.to_json())
# convert the object into a dict
matched_function_dict = matched_function_instance.to_dict()
# create an instance of MatchedFunction from a dict
matched_function_from_dict = MatchedFunction.from_dict(matched_function_dict)
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