FunctionSignatureBody.md

FunctionSignatureBody

Properties

Name	Type	Description	Notes
calling_convention	str	Calling convention, when the producer reported one.	[optional]
created_at	datetime	When this signature was extracted.	[optional]
data_types	List[DataTypeEntry]	The types the signature names — its parameter types and its return type — ordered by data_type_id. Each entry is identical to the one the data types endpoints serve for that id. Returned only when include_data_types is true.	[optional]
function_id	int
function_name	str	Current name of the function.
has_signature	bool	Whether a signature was extracted for this function. False is a normal result: no signature is recorded unless data type extraction ran for the analysis, and thunks and external functions are skipped when it does.
parameters	List[SignatureParameterEntry]	Parameters in argument order. Empty with has_signature true means the function is known to take no arguments.
return_data_type_id	int	Return type, resolvable against the analysis data types list. Absent for an unresolved return type.	[optional]
source_function_id	int	The function this signature was copied from, when it was transferred rather than extracted.	[optional]
source_type	str	Where this signature came from.	[optional]

Example

from revengai.models.function_signature_body import FunctionSignatureBody

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

# convert the object into a dict
function_signature_body_dict = function_signature_body_instance.to_dict()
# create an instance of FunctionSignatureBody from a dict
function_signature_body_from_dict = FunctionSignatureBody.from_dict(function_signature_body_dict)

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