43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
import stl
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import stl.robustness
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import stl.synth
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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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oo = float('inf')
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ex1 = ("A > a?", ("a?",), {"a?": (0, 10)}, {"a?": False}, {"a?": 1})
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ex2 = ("F[0, b?](A > a?)", ("a?", "b?"), {"a?": (0, 10), "b?": (0, 5)},
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{"a?": False, "b?": True}, {"a?": 4, "b?": 0.2})
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ex3 = ("F[0, b?](A < 0)", ("b?",), {"b?": (0, 5)},
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{"b?": True}, {"b?": 5})
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ex4 = ("G[0, b?](A < 0)", ("b?",), {"b?": (0.1, 5)},
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{"b?": False}, {"b?": 0.1})
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ex5 = ("F[0, b?](A > 0)", ("b?",), {"b?": (0.1, 5)},
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{"b?": True}, {"b?": 0.1})
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x = pd.DataFrame([[1,2], [1,4], [4,2]], index=[0,0.1,0.2],
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columns=["A", "B"])
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class TestSTLRobustness(unittest.TestCase):
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@params(ex1, ex2, ex3, ex4, ex5)
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def test_lex_synth(self, phi_str, order, ranges, polarity, val):
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phi = stl.parse(phi_str)
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val2 = stl.synth.lex_param_project(
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phi, x, order=order, ranges=ranges, polarity=polarity)
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phi2 = stl.utils.set_params(phi, val2)
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phi3 = stl.utils.set_params(phi, val)
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stl_eval = stl.robustness.pointwise_robustness(phi2)
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stl_eval2 = stl.robustness.pointwise_robustness(phi3)
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# check that the robustnesses are almost the same
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self.assertAlmostEqual(stl_eval(x, 0), stl_eval2(x, 0), delta=0.01)
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# check that the valuations are almost the same
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for var in order:
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self.assertAlmostEqual(val2[var], val[var], delta=0.01)
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