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step towards actually testing boolean evaluation on random formulas

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This commit is contained in:
Marcell Vazquez-Chanlatte 2017-10-31 20:54:57 -07:00
parent 7d8cf78222
commit 75042d0dc4
5 changed files with 17 additions and 20 deletions
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15
stl/test_boolean_eval.py
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@ -23,14 +23,13 @@ TODO: Automatically generate input time series.
"""
x = {
"A": traces.TimeSeries([(0, 1), (0.1, 1), (0.2, 4)]),
"B": traces.TimeSeries([(0, 2), (0.1, 4), (0.2, 2)]),
"C": traces.TimeSeries([(0, True), (0.1, True), (0.2, False)]),
'D': traces.TimeSeries({
0.0: 2,
13.8: 3,
19.7: 2
}),
"x": traces.TimeSeries([(0, 1), (0.1, 1), (0.2, 4)]),
"y": traces.TimeSeries([(0, 2), (0.1, 4), (0.2, 2)]),
"AP1": traces.TimeSeries([(0, True), (0.1, True), (0.2, False)]),
"AP2": traces.TimeSeries([(0, False), (0.2, True), (0.5, False)]),
"AP3": traces.TimeSeries([(0, True), (0.1, True), (0.3, False)]),
"AP4": traces.TimeSeries([(0, False), (0.1, False), (0.3, False)]),
"AP5": traces.TimeSeries([(0, False), (0.1, False), (0.1, True)]),
}