StartMatchingForFunctionsInputBody.md

StartMatchingForFunctionsInputBody

Properties

Name	Type	Description	Notes
filters	MatchFilters	Narrow the candidate pool.	[optional]
function_ids	List[int]	Source function IDs to match against the rest of the corpus.
min_similarity	float	Similarity floor as a percentage. Defaults to 90.	[optional]
no_cache	bool	By default a completed matching run for the same request is reused (response status=COMPLETED, no new run). Set true to force a fresh run.	[optional]
results_per_function	int	Max matches returned per source function. Defaults to 1.	[optional]
use_canonical_names	bool	Collapse near-duplicate candidate names into canonical buckets and return per-name confidences (the response 'confidences' array). Adds a canonicalisation step; defaults to false.	[optional]

Example

from revengai.models.start_matching_for_functions_input_body import StartMatchingForFunctionsInputBody

# TODO update the JSON string below
json = "{}"
# create an instance of StartMatchingForFunctionsInputBody from a JSON string
start_matching_for_functions_input_body_instance = StartMatchingForFunctionsInputBody.from_json(json)
# print the JSON string representation of the object
print(StartMatchingForFunctionsInputBody.to_json())

# convert the object into a dict
start_matching_for_functions_input_body_dict = start_matching_for_functions_input_body_instance.to_dict()
# create an instance of StartMatchingForFunctionsInputBody from a dict
start_matching_for_functions_input_body_from_dict = StartMatchingForFunctionsInputBody.from_dict(start_matching_for_functions_input_body_dict)

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