

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


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 0.189259 in range [0.000000, 0.378518]...	no solution exists.
	Iteration #003: testing norm threshold 0.283889 in range [0.189259, 0.378518]...	solution exists & found.
	Iteration #004: testing norm threshold 0.236574 in range [0.189259, 0.283889]...	solution exists & found.
	Iteration #005: testing norm threshold 0.212917 in range [0.189259, 0.236574]...	no solution exists.
	Iteration #006: testing norm threshold 0.224745 in range [0.212917, 0.236574]...	solution exists & found.
	Iteration #007: testing norm threshold 0.218831 in range [0.212917, 0.224745]...	no solution exists.
	Iteration #008: testing norm threshold 0.221788 in range [0.218831, 0.224745]...	no solution exists.
	Iteration #009: testing norm threshold 0.223267 in range [0.221788, 0.224745]...	no solution exists.
	Iteration #010: testing norm threshold 0.224006 in range [0.223267, 0.224745]...	solution exists & found.
	Iteration #011: testing norm threshold 0.223636 in range [0.223267, 0.224006]...	no solution exists.
	Iteration #012: testing norm threshold 0.223821 in range [0.223636, 0.224006]...	solution exists & found.
	Iteration #013: testing norm threshold 0.223729 in range [0.223636, 0.223821]...	solution exists & found.
	Iteration #014: testing norm threshold 0.223683 in range [0.223636, 0.223729]...	solution exists & found.
	Iteration #015: testing norm threshold 0.223660 in range [0.223636, 0.223683]...	solution exists & found.
	Iteration #016: testing norm threshold 0.223648 in range [0.223636, 0.223660]...	solution exists & found.
	Iteration #017: testing norm threshold 0.223642 in range [0.223636, 0.223648]...	solution exists & found.


Factual sample: 		 {x0 : -2.7627895803854763, x1 : -3.64072058708201, y: False}
Nearest counterfactual sample:	 {x0 : 2.7017324247886183, x1 : -3.640616556811331, y: True} (verified)
Minimum counterfactual distance: 0.223642
