

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


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 0.087370 in range [0.000000, 0.174740]...	no solution exists.
	Iteration #003: testing norm threshold 0.131055 in range [0.087370, 0.174740]...	no solution exists.
	Iteration #004: testing norm threshold 0.152897 in range [0.131055, 0.174740]...	no solution exists.
	Iteration #005: testing norm threshold 0.163818 in range [0.152897, 0.174740]...	solution exists & found.
	Iteration #006: testing norm threshold 0.158358 in range [0.152897, 0.163819]...	no solution exists.
	Iteration #007: testing norm threshold 0.161088 in range [0.158358, 0.163819]...	no solution exists.
	Iteration #008: testing norm threshold 0.162453 in range [0.161088, 0.163819]...	no solution exists.
	Iteration #009: testing norm threshold 0.163136 in range [0.162453, 0.163819]...	solution exists & found.
	Iteration #010: testing norm threshold 0.162795 in range [0.162453, 0.163136]...	solution exists & found.
	Iteration #011: testing norm threshold 0.162624 in range [0.162453, 0.162795]...	solution exists & found.
	Iteration #012: testing norm threshold 0.162539 in range [0.162453, 0.162624]...	solution exists & found.
	Iteration #013: testing norm threshold 0.162496 in range [0.162453, 0.162539]...	no solution exists.
	Iteration #014: testing norm threshold 0.162518 in range [0.162496, 0.162539]...	no solution exists.
	Iteration #015: testing norm threshold 0.162528 in range [0.162518, 0.162539]...	no solution exists.
	Iteration #016: testing norm threshold 0.162534 in range [0.162528, 0.162539]...	solution exists & found.


Factual sample: 		 {x0 : -1.9196240148926345, x1 : -2.795395193423812, y: False}
Nearest counterfactual sample:	 {x0 : 2.0517048554708044, x1 : -2.7952731262891097, y: True} (verified)
Minimum counterfactual distance: 0.162534
