

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


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 0.138945 in range [0.000000, 0.277890]...	no solution exists.
	Iteration #003: testing norm threshold 0.208418 in range [0.138945, 0.277890]...	solution exists & found.
	Iteration #004: testing norm threshold 0.173682 in range [0.138945, 0.208418]...	no solution exists.
	Iteration #005: testing norm threshold 0.191050 in range [0.173682, 0.208418]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182366 in range [0.173682, 0.191050]...	no solution exists.
	Iteration #007: testing norm threshold 0.186708 in range [0.182366, 0.191050]...	no solution exists.
	Iteration #008: testing norm threshold 0.188879 in range [0.186708, 0.191050]...	solution exists & found.
	Iteration #009: testing norm threshold 0.187793 in range [0.186708, 0.188879]...	solution exists & found.
	Iteration #010: testing norm threshold 0.187251 in range [0.186708, 0.187793]...	solution exists & found.
	Iteration #011: testing norm threshold 0.186979 in range [0.186708, 0.187251]...	solution exists & found.
	Iteration #012: testing norm threshold 0.186843 in range [0.186708, 0.186979]...	solution exists & found.
	Iteration #013: testing norm threshold 0.186776 in range [0.186708, 0.186844]...	solution exists & found.
	Iteration #014: testing norm threshold 0.186742 in range [0.186708, 0.186776]...	solution exists & found.
	Iteration #015: testing norm threshold 0.186725 in range [0.186708, 0.186742]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186716 in range [0.186708, 0.186725]...	no solution exists.


Factual sample: 		 {x0 : -2.601298364688454, x1 : -2.6774559825409896, y: False}
Nearest counterfactual sample:	 {x0 : 1.9609228727628165, x1 : -2.6771360460349305, y: True} (verified)
Minimum counterfactual distance: 0.186725
