

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.120578 in range [0.000000, 0.241155]...	no solution exists.
	Iteration #003: testing norm threshold 0.180867 in range [0.120578, 0.241155]...	no solution exists.
	Iteration #004: testing norm threshold 0.211011 in range [0.180867, 0.241155]...	no solution exists.
	Iteration #005: testing norm threshold 0.226083 in range [0.211011, 0.241155]...	no solution exists.
	Iteration #006: testing norm threshold 0.233619 in range [0.226083, 0.241155]...	solution exists & found.
	Iteration #007: testing norm threshold 0.229851 in range [0.226083, 0.233619]...	solution exists & found.
	Iteration #008: testing norm threshold 0.227967 in range [0.226083, 0.229851]...	no solution exists.
	Iteration #009: testing norm threshold 0.228909 in range [0.227967, 0.229851]...	no solution exists.
	Iteration #010: testing norm threshold 0.229380 in range [0.228909, 0.229851]...	solution exists & found.
	Iteration #011: testing norm threshold 0.229145 in range [0.228909, 0.229380]...	solution exists & found.
	Iteration #012: testing norm threshold 0.229027 in range [0.228909, 0.229145]...	solution exists & found.
	Iteration #013: testing norm threshold 0.228968 in range [0.228909, 0.229027]...	solution exists & found.
	Iteration #014: testing norm threshold 0.228939 in range [0.228909, 0.228968]...	no solution exists.
	Iteration #015: testing norm threshold 0.228954 in range [0.228939, 0.228968]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228946 in range [0.228939, 0.228954]...	solution exists & found.


Factual sample: 		 {x0 : -2.79803667847525, x1 : -3.763503862412448, y: False}
Nearest counterfactual sample:	 {x0 : 2.796194107710245, x1 : -3.763500273687865, y: True} (verified)
Minimum counterfactual distance: 0.228946
