François Bobot authored 2 years ago and Michele Alberti committed 2 years ago

Make it into a new strategy module that should prepare the task before sending
it to the provers.

The printer for the SMT-LIB format produces not useful stuff.

Rework minmax scaling

See merge request laiser/caisar!57

- Parameter min and max of min_max_scale are now the intended final range
- Add clip parameter to min_max_scale stdlib function (if enabled, clipping is
  also done after the added perturbation)

Add support for verification via a json configuration file

See merge request laiser/caisar!51

as indicated by a json configuration file.

- Reuse verification infrastructure.
- Modify dataset types for easier json deriving.

Filter normalization by lsymbol name.

See merge request laiser/caisar!52

Dataset via VNNLIB

See merge request laiser/caisar!48

- Add support for neural network as array in language.ml
- Translate csv record as vnnlib constraints in dataset.ml
- Add simple dataset normalization functionalities in dataset.ml
- Add vnnlib printer (as smtlib printer with direct real support)
- Add vnnlib driver for PyRAT
- Rework onnx and nnet parsers to not fail on non-mandatory information

Add more ONNX operators to NIER

Closes #21 and #22

See merge request laiser/caisar!50

Make some NNet and ONNX information optional

See merge request laiser/caisar!49

Add support for units in memlimit and timelimit options

Closes #14

See merge request laiser/caisar!47