

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


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 0.149513 in range [0.000000, 0.299027]...	no solution exists.
	Iteration #003: testing norm threshold 0.224270 in range [0.149513, 0.299027]...	solution exists & found.
	Iteration #004: testing norm threshold 0.186892 in range [0.149513, 0.224270]...	no solution exists.
	Iteration #005: testing norm threshold 0.205581 in range [0.186892, 0.224270]...	no solution exists.
	Iteration #006: testing norm threshold 0.214926 in range [0.205581, 0.224270]...	solution exists & found.
	Iteration #007: testing norm threshold 0.210253 in range [0.205581, 0.214926]...	no solution exists.
	Iteration #008: testing norm threshold 0.212589 in range [0.210253, 0.214926]...	no solution exists.
	Iteration #009: testing norm threshold 0.213758 in range [0.212589, 0.214926]...	solution exists & found.
	Iteration #010: testing norm threshold 0.213174 in range [0.212589, 0.213758]...	solution exists & found.
	Iteration #011: testing norm threshold 0.212882 in range [0.212589, 0.213174]...	solution exists & found.
	Iteration #012: testing norm threshold 0.212736 in range [0.212589, 0.212882]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212663 in range [0.212589, 0.212736]...	no solution exists.
	Iteration #014: testing norm threshold 0.212699 in range [0.212663, 0.212736]...	no solution exists.
	Iteration #015: testing norm threshold 0.212717 in range [0.212699, 0.212736]...	solution exists & found.
	Iteration #016: testing norm threshold 0.212708 in range [0.212699, 0.212718]...	solution exists & found.


Factual sample: 		 {x0 : -2.787213279610851, x1 : -3.132916475274508, y: False}
Nearest counterfactual sample:	 {x0 : 2.410251685066171, x1 : -3.132916475274508, y: True} (verified)
Minimum counterfactual distance: 0.212708
