Fast boolean evaluation
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test_boolean.py
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test_boolean.py
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import stl
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import stl.fastboolean_eval
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import pandas as pd
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from nose2.tools import params
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import unittest
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from sympy import Symbol
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ex1 = ("2*A > 3", False)
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ex2 = ("F[0, 1](2*A > 3)", True)
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ex3 = ("F[1, 0](2*A > 3)", False)
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ex4 = ("G[1, 0](2*A > 3)", True)
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ex5 = ("(A < 0)", False)
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ex6 = ("G[0, 0.1](A < 0)", False)
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ex7 = ("G[0, 0.1](C)", True)
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ex8 = ("G[0, 0.2](C)", False)
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ex9 = ("(F[0, 0.2](C)) and (F[0, 1](2*A > 3))", True)
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x = pd.DataFrame([[1,2, True], [1,4, True], [4,2, False]], index=[0,0.1,0.2],
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columns=["A", "B", "C"])
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tests = [ex1, ex2, ex3, ex4, ex5, ex6, ex7, ex8, ex9]
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for test in tests:
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phi = stl.parse(test[0])
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print(phi)
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stl_eval = stl.fastboolean_eval.pointwise_sat(phi)
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print(stl_eval(x, [0]))
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