AnalysisFunctionMatchingRequest.md

AnalysisFunctionMatchingRequest

Properties

Name	Type	Description	Notes
min_similarity	float	Minimum similarity expected for a match as a percentage, default is 90	[optional] [default to 90]
filters	FunctionMatchingFilters		[optional]
results_per_function	int	Maximum number of matches to return per function, default is 1, max is 30	[optional] [default to 1]
page	int	Page number for paginated results, default is 1 (first page)	[optional] [default to 1]
page_size	int	Number of functions to return per page, default is 0 (all functions), max is 1000	[optional] [default to 0]
status_only	bool	If set to true, only returns the status of the matching operation without the actual results	[optional] [default to False]
no_cache	bool	If set to true, forces the system to bypass any cached results and perform a fresh computation	[optional] [default to False]
use_canonical_names	bool	Whether to use canonical function names during function matching for confidence results, default is False	[optional] [default to False]

Example

from revengai.models.analysis_function_matching_request import AnalysisFunctionMatchingRequest

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

# convert the object into a dict
analysis_function_matching_request_dict = analysis_function_matching_request_instance.to_dict()
# create an instance of AnalysisFunctionMatchingRequest from a dict
analysis_function_matching_request_from_dict = AnalysisFunctionMatchingRequest.from_dict(analysis_function_matching_request_dict)

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