

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


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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.172750 in range [0.000000, 0.345500]...	no solution exists.
	Iteration #003: testing norm threshold 0.259125 in range [0.172750, 0.345500]...	solution exists & found.
	Iteration #004: testing norm threshold 0.215938 in range [0.172750, 0.259125]...	no solution exists.
	Iteration #005: testing norm threshold 0.237531 in range [0.215938, 0.259125]...	no solution exists.
	Iteration #006: testing norm threshold 0.248328 in range [0.237531, 0.259125]...	solution exists & found.
	Iteration #007: testing norm threshold 0.242930 in range [0.237531, 0.248328]...	no solution exists.
	Iteration #008: testing norm threshold 0.245629 in range [0.242930, 0.248328]...	no solution exists.
	Iteration #009: testing norm threshold 0.246979 in range [0.245629, 0.248328]...	no solution exists.
	Iteration #010: testing norm threshold 0.247653 in range [0.246979, 0.248328]...	no solution exists.
	Iteration #011: testing norm threshold 0.247991 in range [0.247653, 0.248328]...	solution exists & found.
	Iteration #012: testing norm threshold 0.247822 in range [0.247653, 0.247991]...	solution exists & found.
	Iteration #013: testing norm threshold 0.247738 in range [0.247653, 0.247822]...	solution exists & found.
	Iteration #014: testing norm threshold 0.247696 in range [0.247653, 0.247738]...	solution exists & found.
	Iteration #015: testing norm threshold 0.247675 in range [0.247653, 0.247696]...	no solution exists.
	Iteration #016: testing norm threshold 0.247685 in range [0.247675, 0.247696]...	no solution exists.
	Iteration #017: testing norm threshold 0.247691 in range [0.247685, 0.247696]...	solution exists & found.


Factual sample: 		 {x0 : -3.14959509357545, x1 : -3.7419164213829097, y: False}
Nearest counterfactual sample:	 {x0 : 2.9026497733986174, x1 : -3.7419164213829097, y: True} (verified)
Minimum counterfactual distance: 0.247691
