Python Options

The Python analysis is still a work in progress. It supports a large subset of the core Python language, except for eval, async, meta-classes, and recursive functions. Only a small part of the standard python modules are supported, but additional support can be easily added using Python stubs.

There are currently two configurations available for the Python analysis:

• a type analysis [ECOOP20], called using mopsa-python-types, whose configuration is defined in python/types.json,

• a value analysis [SOAP20], called using mopsa-python, whose configuration is defined in python/values.json.

Options

-unprecise-exn <exn1>,...,<exnn>

All the raised exceptions the name of which are in the list will be collapsed into one environment (default: empty).

This is useful to improve performance. This is particularly the case when the analysis is imprecise and, as a consequence, a large number of spurious reported exceptions of some kind is expected (e.g., all list accesses generating an IndexError exception when lists are abstracted with a smashing domain).

Allocation policy options

The Python analysis uses the recency abstraction. As mentioned in heap recency domain, the default allocation policy is defined by the user. In addition, this allocation policy can be refined for some specific builtin Python objects (currently, list, range, dict, slice, tuple, set). An exemple of the benefits of configurability is shown in [SOAP20], Section 3.

-py-dict-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for smashed dictionaries (default: all).

-py-list-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for smashed lists (default: all).

-py-range-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for range objects (default: all).

-py-slice-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for slice objects (default: all).

-py-set-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for smashed sets (default: all).

-py-tuple-alloc-pol (all | range | callstack | range_callstack)

Allocation policy used for expanded tuples (default: all).

Loops

-py-disable-desugar-for-range

Disable the special desugaring on for-range-based loops.

Desugaring is not worth it when no numerical domains are available.

Bibliographic References

[ECOOP20]

Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné: Static Type Analysis by Abstract Interpretation of Python Programs. ECOOP 2020: 17:1–17:29

[SOAP20] (1,2)

Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné: Value and Allocation Sensitivity in Static Python Analyses. SOAP@PLDI 2020: 8–13