| Name |
Type |
Description |
Notes |
| d_type |
str |
Name of the assigned data type. |
[optional] |
| data_type_id |
int |
Analysis data type, when one is assigned. |
[optional] |
| decomp_lines |
List[int] |
1-indexed lines of the function's AI decompilation that reference the global. |
|
| function_count |
int |
How many functions' AI decompilations reference the global. |
|
| indirect_target |
int |
Address a pointer slot resolves to. |
[optional] |
| is_bss |
bool |
Whether the address falls in a zero-initialised section. |
|
| name |
str |
Recovered name, absent when nothing named the address. |
[optional] |
| name_source |
str |
What named it. |
[optional] |
| ref_count |
int |
How many times the function's AI decompilation references the global. |
|
| size |
int |
Size in bytes, when known. |
[optional] |
| source_function_id |
int |
Function a constructed static was initialised in. |
[optional] |
| total_ref_count |
int |
How many times those AI decompilations reference the global, summed across functions. |
|
| type_source |
str |
What typed it. |
[optional] |
| vaddr |
int |
Virtual address the global lives at. |
|
| value |
str |
Decoded initial value, rendered for display. |
[optional] |
| value_confidence |
str |
How much to trust the decoded value. |
[optional] |
| value_kind |
str |
How the value was interpreted. |
[optional] |
| value_source |
str |
What produced the value. |
[optional] |
from revengai.models.function_global_variable import FunctionGlobalVariable
# TODO update the JSON string below
json = "{}"
# create an instance of FunctionGlobalVariable from a JSON string
function_global_variable_instance = FunctionGlobalVariable.from_json(json)
# print the JSON string representation of the object
print(FunctionGlobalVariable.to_json())
# convert the object into a dict
function_global_variable_dict = function_global_variable_instance.to_dict()
# create an instance of FunctionGlobalVariable from a dict
function_global_variable_from_dict = FunctionGlobalVariable.from_dict(function_global_variable_dict)
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