

==============================================


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 'output': {'y': {'symbol': y}}}
Constructing initial formulas: model, counterfactual, distance, plausibility, diversity		done.
Solving (not searching) for closest counterfactual using various distance thresholds...
	Iteration #001: testing norm threshold 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.170987 in range [0.000000, 0.341974]...	no solution exists.
	Iteration #003: testing norm threshold 0.256481 in range [0.170987, 0.341974]...	solution exists & found.
	Iteration #004: testing norm threshold 0.213734 in range [0.170987, 0.256481]...	no solution exists.
	Iteration #005: testing norm threshold 0.235107 in range [0.213734, 0.256481]...	solution exists & found.
	Iteration #006: testing norm threshold 0.224421 in range [0.213734, 0.235107]...	no solution exists.
	Iteration #007: testing norm threshold 0.229764 in range [0.224421, 0.235107]...	no solution exists.
	Iteration #008: testing norm threshold 0.232436 in range [0.229764, 0.235107]...	no solution exists.
	Iteration #009: testing norm threshold 0.233772 in range [0.232436, 0.235107]...	solution exists & found.
	Iteration #010: testing norm threshold 0.233104 in range [0.232436, 0.233772]...	solution exists & found.
	Iteration #011: testing norm threshold 0.232770 in range [0.232436, 0.233104]...	solution exists & found.
	Iteration #012: testing norm threshold 0.232603 in range [0.232436, 0.232770]...	solution exists & found.
	Iteration #013: testing norm threshold 0.232519 in range [0.232436, 0.232603]...	no solution exists.
	Iteration #014: testing norm threshold 0.232561 in range [0.232519, 0.232603]...	no solution exists.
	Iteration #015: testing norm threshold 0.232582 in range [0.232561, 0.232603]...	no solution exists.
	Iteration #016: testing norm threshold 0.232592 in range [0.232582, 0.232603]...	solution exists & found.
	Iteration #017: testing norm threshold 0.232587 in range [0.232582, 0.232593]...	no solution exists.


Factual sample: 		 {x0 : -3.5841863063552792, x1 : -2.8569573750432, y: False}
Nearest counterfactual sample:	 {x0 : 2.099068865400044, x1 : -2.85688990082203, y: True} (verified)
Minimum counterfactual distance: 0.232592
