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A toolkit for enforcing logical specifications on neural networks

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**Python backend** - [x] Add meet/join to minimize/maximize - [x] Add context to minimize/maximize - [ ] Add PGD as default optimization strategy, from implementation on `old-pgd` branch - [x]...

It's reached "end-of-life" and the latest versions of tensorflow no longer support it.

build-system
bindings:python

According to Haskell these are both deprecated: https://haskell-language-server.readthedocs.io/en/stable/support/ghc-version-support.html#current-ghc-version-support-status

CI

`logic-and-comparisons.DL2Loss` and `windController.DL2loss` tests is disabled as tensor equality is incorrect converted to a fold before conversion to loss function.

bug
backend:loss

The crucial change is that we need some notion of the domain of the variable from which to sample and clip into. This really should be derivable from the specification,...

enhancement
backend:loss

Being worked on by me and Wen in the onnxruntime bindings project. (@wenkokke this issue is needed for referencing in other issues)

enhancement
compiler:evaluation

The magic command according to @wenkokke is: ``` pip install vehicle-lang[pygments] ```

documentation
enhancement

Should be possible as we're dependently typed...

refactoring