def testIMeets(self): model = Model([ ModelEntry( Close("figure", "landmark"), SpanningInterval(CL, Interval(CL, 1, 3, CL), Interval(CL, 1, 3, CL), CL)), ]) result = inference( model, Tense([iMeets], stub_model.Close("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(OP, NINF, 3.0, OP), Interval(CL, 1.0, 3.0, CL), OP), SpanningInterval(CL, Interval(OP, NINF, 3.0, OP), Interval(CL, 1.0, 3.0, CL), OP) ])) result = inference( model, Tense([meets], stub_model.Close("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(CL, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(OP, Interval(CL, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), CL) ]))
def testGt(self): model = Model([ ModelEntry( Close("figure", "landmark"), SpanningInterval(CL, Interval(CL, 1, 3, CL), Interval(CL, 1, 3, CL), CL)), ]) result = inference( model, AndR(Not(overlaps(stub_model.Close("figure", "landmark"))), [equals], Tense([greaterThan], stub_model.Close("figure", "landmark")))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(OP, NINF, 1.0, OP), Interval(OP, NINF, 1.0, CL), OP), SpanningInterval(CL, Interval(OP, NINF, 1.0, OP), Interval(OP, NINF, 1.0, CL), OP), SpanningInterval(OP, Interval(OP, NINF, 1.0, OP), Interval(OP, NINF, 1.0, OP), CL), SpanningInterval(CL, Interval(OP, NINF, 1.0, OP), Interval(OP, NINF, 1.0, OP), CL) ]))
def testTenseAndStarts(self): model = Model([ ModelEntry( Close("figure", "landmark"), SpanningInterval(CL, Interval(CL, 1, 3, CL), Interval(CL, 1, 3, CL), CL)), ]) result = inference( model, Tense([starts], stub_model.Close("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(CL, Interval(CL, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(CL, Interval(CL, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), CL) ])) result = inference( model, Tense([iStarts], stub_model.Close("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(CL, Interval(CL, 1.0, 3.0, OP), Interval(OP, 1.0, 3.0, CL), OP), SpanningInterval(CL, Interval(CL, 1.0, 3.0, OP), Interval(CL, 1.0, 3.0, OP), CL) ])) result = inference( model, Tense([starts, iStarts], stub_model.Close("figure", "landmark"))) self.assertEqual( result.condensed(), SpanningIntervalSet([ SpanningInterval(CL, Interval(CL, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(CL, Interval(CL, 1.0, 3.0, CL), Interval(CL, 1.0, PINF, OP), CL) ]))
def testNoApproach(self): model = Model([ ModelEntry( Close("figure", "landmark"), SpanningInterval(CL, Interval(CL, 0, 3, CL), Interval(CL, 0, 3, CL), CL)), ]) result = inference( model, AndR(Not(overlaps(stub_model.Close("figure", "landmark"))), [equals], Tense([iMeets], stub_model.Close("figure", "landmark")))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(CL, Interval(OP, NINF, 0, OP), Interval(CL, 0, 0, CL), OP), SpanningInterval(OP, Interval(OP, NINF, 0, OP), Interval(CL, 0, 0, CL), OP) ])) self.assertEqual(result.snappedToMin(0), emptySpanningIntervalSet)
def approachWithoutInverted(figure, landmark): return cooccur(Not(overlaps(IsClose(figure, landmark))), Tense([iMeets], IsClose(figure, landmark)))
def testInferenceTense(self): model = Model([ ModelEntry( Visible("figure", "landmark"), SpanningInterval(CL, Interval(CL, 1, 3, CL), Interval(CL, 1, 3, CL), CL)), ModelEntry( Close("figure", "landmark"), SpanningInterval(CL, Interval(CL, 2, 3, CL), Interval(CL, 2, 3, CL), CL)), ModelEntry( Following("figure", "landmark"), SpanningInterval(CL, Interval(CL, 1, 3, CL), Interval(CL, 1, 3, CL), CL)) ]) result = inference( model, Tense([allenRelations.finishes], stub_model.Visible("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(OP, NINF, 3.0, OP), Interval(CL, 1.0, 3.0, CL), CL), SpanningInterval(CL, Interval(OP, NINF, 3.0, OP), Interval(CL, 1.0, 3.0, CL), CL) ])) result = inference( model, Tense([allenRelations.overlaps], stub_model.Visible("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(CL, 1.0, 3.0, OP), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(OP, Interval(CL, 1.0, 3.0, OP), Interval(OP, 1.0, PINF, OP), CL), SpanningInterval(CL, Interval(OP, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(CL, Interval(OP, 1.0, 3.0, CL), Interval(OP, 1.0, PINF, OP), CL) ])) result = inference(model, overlaps(stub_model.Visible("figure", "landmark"))) self.assertEqual( result, SpanningIntervalSet([ SpanningInterval(OP, Interval(OP, NINF, 3.0, OP), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(OP, Interval(OP, NINF, 3.0, OP), Interval(CL, 1.0, PINF, OP), CL), SpanningInterval(CL, Interval(OP, NINF, 3.0, CL), Interval(OP, 1.0, PINF, OP), OP), SpanningInterval(CL, Interval(OP, NINF, 3.0, CL), Interval(CL, 1.0, PINF, OP), CL) ]))