

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


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 0.168441 in range [0.000000, 0.336883]...	no solution exists.
	Iteration #003: testing norm threshold 0.252662 in range [0.168441, 0.336883]...	solution exists & found.
	Iteration #004: testing norm threshold 0.204798 in range [0.168441, 0.241155]...	no solution exists.
	Iteration #005: testing norm threshold 0.222977 in range [0.204798, 0.241155]...	no solution exists.
	Iteration #006: testing norm threshold 0.232066 in range [0.222977, 0.241155]...	solution exists & found.
	Iteration #007: testing norm threshold 0.227522 in range [0.222977, 0.232066]...	no solution exists.
	Iteration #008: testing norm threshold 0.229794 in range [0.227522, 0.232066]...	solution exists & found.
	Iteration #009: testing norm threshold 0.228658 in range [0.227522, 0.229794]...	no solution exists.
	Iteration #010: testing norm threshold 0.229226 in range [0.228658, 0.229794]...	solution exists & found.
	Iteration #011: testing norm threshold 0.228942 in range [0.228658, 0.229226]...	no solution exists.
	Iteration #012: testing norm threshold 0.229084 in range [0.228942, 0.229226]...	solution exists & found.
	Iteration #013: testing norm threshold 0.229013 in range [0.228942, 0.229084]...	solution exists & found.
	Iteration #014: testing norm threshold 0.228977 in range [0.228942, 0.229013]...	solution exists & found.
	Iteration #015: testing norm threshold 0.228960 in range [0.228942, 0.228978]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228951 in range [0.228942, 0.228960]...	solution exists & found.


Factual sample: 		 {x0 : -2.79803667847525, x1 : -3.763503862412448, y: False}
Nearest counterfactual sample:	 {x0 : 2.796109217002805, x1 : -3.7633172078596586, y: True} (verified)
Minimum counterfactual distance: 0.228951
