

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


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 0.136782 in range [0.000000, 0.273565]...	no solution exists.
	Iteration #003: testing norm threshold 0.205174 in range [0.136782, 0.273565]...	no solution exists.
	Iteration #004: testing norm threshold 0.239369 in range [0.205174, 0.273565]...	solution exists & found.
	Iteration #005: testing norm threshold 0.220511 in range [0.205174, 0.235849]...	no solution exists.
	Iteration #006: testing norm threshold 0.228180 in range [0.220511, 0.235849]...	solution exists & found.
	Iteration #007: testing norm threshold 0.224346 in range [0.220511, 0.228180]...	solution exists & found.
	Iteration #008: testing norm threshold 0.222429 in range [0.220511, 0.224346]...	no solution exists.
	Iteration #009: testing norm threshold 0.223387 in range [0.222429, 0.224346]...	no solution exists.
	Iteration #010: testing norm threshold 0.223866 in range [0.223387, 0.224346]...	solution exists & found.
	Iteration #011: testing norm threshold 0.223627 in range [0.223387, 0.223867]...	no solution exists.
	Iteration #012: testing norm threshold 0.223747 in range [0.223627, 0.223867]...	solution exists & found.
	Iteration #013: testing norm threshold 0.223687 in range [0.223627, 0.223747]...	solution exists & found.
	Iteration #014: testing norm threshold 0.223657 in range [0.223627, 0.223687]...	solution exists & found.
	Iteration #015: testing norm threshold 0.223642 in range [0.223627, 0.223657]...	solution exists & found.
	Iteration #016: testing norm threshold 0.223634 in range [0.223627, 0.223642]...	no solution exists.


Factual sample: 		 {x0 : -2.7627895803854763, x1 : -3.64072058708201, y: False}
Nearest counterfactual sample:	 {x0 : 2.7018354969606264, x1 : -3.64072058708201, y: True} (verified)
Minimum counterfactual distance: 0.223642
