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Fraunhofer-AISEC / archie

ARCHIE is a QEMU-based architecture-independent fault evaluation tool, that is able to simulate transient and permanent instruction and data faults in RAM, flash, and processor registers.
Apache License 2.0
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Use explicit data types with pandas #42

Open lukasauer opened 2 years ago

lukasauer commented 2 years ago

Pandas may sometimes choose to convert large integers (close to 64-bit integer limit) to floats. This is very common on register dataset on 64-bit architecture and is fixed with #41. Similar situation in the code base should be fixed as well. This problem is likely to also occur if a target binary is mapped to a negative memory address (typical for kernels).

tibersam commented 2 years ago

Just out of interest: is it negative because the memory address is a unsigned address value interpreted as a signed?

lukasauer commented 2 years ago

No, the addresses are always interpreted correctly. I am not sure what the underlying problem is. Could be because there are mixed data types (signed and unsigned integers in this case) in the pandas data structure.