CHANGES:

- [interpretation] Add transformations that allow the verification of several
  neural network at once. Within particular patterns, CAISAR will generate
  an ONNX file that preserve the semantic of the neural networks
  while encapsulating parts of the
  specification directly in the control flow of the neural network.
  This feature allow the verification of properties with multiple neural
  networks, including their composition.

- [interpretation] Integrate SVMs into the interpretation engine. Users can
  expect vector computations and applications on SVMs to be computed similarly
  as what exists already for neural networks.

- [interpretation] Add support for addition between vectors.

- [interpretation] Add better error reporting for interpretation errors. Users
  now get better guidance on how to write their specification. For instance,
  CAISAR now explicitly asks for a predicate constraining the length of a vector
  after a universal quantifier.

- [language] Unified Support Vector Machines (SVMs) theories.
  Previously, there was a separate theory for neural networks and SVMs datasets
  and models. They are now accessible under a single theory.

- [language] Add additional abstraction support for SVMs.

- [language] Simplify CAISAR Neural Intermediate Representation (NIR) and
  perform automatic shape inference when creating a new NIR node.

- [language] Add support for the following ONNX operators: Gather, Log, Abs,
  RandomNormal, ReduceSum.

- [language] Neural networks in NNet format are now parsed into a NIR.

- [examples] Rework ACAS-Xu specification with a formulation that is closer to
  the original. In particular, provide explicit normalization and
  denormalization functions in the test file. Also define explicit function
  contracts using Why3 pre and post-conditions.

- [examples] Add more examples displaying CAISAR ability to handle several
  neural networks at once.

- [cmdline] Add command line option --onnx-out-dir
  to output the NIR generated by CAISAR as an ONNX file.

- [logging] Add command line option --ltag for fine-grained logging.
  By providing a logging tag (ltag), users can control which part of CAISAR
  will log its outputs.

- [prover] Add support for Marabou 2.0 via its Python API. Autodetection of
  Marabou installed through maraboupy is now supported.

- [prover] Update AIMOS configuration to match upstream.

- [prover] Update $\alpha-\beta-$CROWN configuration to match upstream.

- [doc] Clarify the supported ONNX operator set: the ONNX Intermediate
  Representation is version 8, the supported operator set is version 13.