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@@ -6,9 +6,10 @@ Artifact for the paper "Chronosymbolic Learning: Efficient CHC Solving with Symb
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- See `./examples` for examples of how our tool works
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## Requirement (To set up our environment)
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Python (3.7.0 or higher, and [Anaconda](https://www.anaconda.com/) recommended)
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Python (3.7.0 or higher recommended, and [Anaconda](https://www.anaconda.com/) recommended to set up a new environment)
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- Install packages in `requirements.txt`: `pip install -r requirements.txt`
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- Though not integrated in our artifact, you can also try to use [scikit-learn-intelex](https://intel.github.io/scikit-learn-intelex/latest/) to speed up CART DT if possible
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- May have to manually set up `PYTHONPATH` and `PATH` properly, `PYTHONPATH=$Z3_BIN/python`, `PATH=$PATH:$Z3_BIN`
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