

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


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 0.223873 in range [0.000000, 0.447746]...	no solution exists.
	Iteration #003: testing norm threshold 0.335810 in range [0.223873, 0.447746]...	solution exists & found.
	Iteration #004: testing norm threshold 0.279841 in range [0.223873, 0.335810]...	solution exists & found.
	Iteration #005: testing norm threshold 0.251857 in range [0.223873, 0.279842]...	no solution exists.
	Iteration #006: testing norm threshold 0.265849 in range [0.251857, 0.279842]...	no solution exists.
	Iteration #007: testing norm threshold 0.272845 in range [0.265849, 0.279842]...	no solution exists.
	Iteration #008: testing norm threshold 0.276343 in range [0.272845, 0.279842]...	no solution exists.
	Iteration #009: testing norm threshold 0.278092 in range [0.276343, 0.279842]...	solution exists & found.
	Iteration #010: testing norm threshold 0.277218 in range [0.276343, 0.278093]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276781 in range [0.276343, 0.277218]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276562 in range [0.276343, 0.276781]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276453 in range [0.276343, 0.276562]...	no solution exists.
	Iteration #014: testing norm threshold 0.276508 in range [0.276453, 0.276562]...	solution exists & found.
	Iteration #015: testing norm threshold 0.276480 in range [0.276453, 0.276508]...	solution exists & found.
	Iteration #016: testing norm threshold 0.276467 in range [0.276453, 0.276480]...	solution exists & found.
	Iteration #017: testing norm threshold 0.276460 in range [0.276453, 0.276467]...	no solution exists.


Factual sample: 		 {x0 : -3.791204739409314, x1 : -3.981867640970709, y: False}
Nearest counterfactual sample:	 {x0 : 2.964146294985197, x1 : -3.981895527955339, y: True} (verified)
Minimum counterfactual distance: 0.276467
