

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


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 0.150781 in range [0.000000, 0.301562]...	no solution exists.
	Iteration #003: testing norm threshold 0.226171 in range [0.150781, 0.301562]...	no solution exists.
	Iteration #004: testing norm threshold 0.263867 in range [0.226171, 0.301562]...	solution exists & found.
	Iteration #005: testing norm threshold 0.245009 in range [0.226171, 0.263846]...	no solution exists.
	Iteration #006: testing norm threshold 0.254427 in range [0.245009, 0.263846]...	solution exists & found.
	Iteration #007: testing norm threshold 0.249718 in range [0.245009, 0.254427]...	no solution exists.
	Iteration #008: testing norm threshold 0.252073 in range [0.249718, 0.254427]...	solution exists & found.
	Iteration #009: testing norm threshold 0.250895 in range [0.249718, 0.252073]...	no solution exists.
	Iteration #010: testing norm threshold 0.251484 in range [0.250895, 0.252073]...	no solution exists.
	Iteration #011: testing norm threshold 0.251778 in range [0.251484, 0.252073]...	solution exists & found.
	Iteration #012: testing norm threshold 0.251631 in range [0.251484, 0.251778]...	no solution exists.
	Iteration #013: testing norm threshold 0.251705 in range [0.251631, 0.251778]...	solution exists & found.
	Iteration #014: testing norm threshold 0.251668 in range [0.251631, 0.251705]...	solution exists & found.
	Iteration #015: testing norm threshold 0.251650 in range [0.251631, 0.251668]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251641 in range [0.251631, 0.251650]...	solution exists & found.


Factual sample: 		 {x0 : -4.592303794545908, x1 : -2.151149440241418, y: False}
Nearest counterfactual sample:	 {x0 : 1.5564589525091261, x1 : -2.151149440241418, y: True} (verified)
Minimum counterfactual distance: 0.251641
