

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


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 0.181370 in range [0.000000, 0.362740]...	no solution exists.
	Iteration #003: testing norm threshold 0.272055 in range [0.181370, 0.362740]...	solution exists & found.
	Iteration #004: testing norm threshold 0.226712 in range [0.181370, 0.272055]...	solution exists & found.
	Iteration #005: testing norm threshold 0.204041 in range [0.181370, 0.226712]...	no solution exists.
	Iteration #006: testing norm threshold 0.215377 in range [0.204041, 0.226712]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209709 in range [0.204041, 0.215377]...	no solution exists.
	Iteration #008: testing norm threshold 0.212543 in range [0.209709, 0.215377]...	solution exists & found.
	Iteration #009: testing norm threshold 0.211126 in range [0.209709, 0.212543]...	no solution exists.
	Iteration #010: testing norm threshold 0.211835 in range [0.211126, 0.212543]...	no solution exists.
	Iteration #011: testing norm threshold 0.212189 in range [0.211835, 0.212543]...	no solution exists.
	Iteration #012: testing norm threshold 0.212366 in range [0.212189, 0.212543]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212277 in range [0.212189, 0.212366]...	no solution exists.
	Iteration #014: testing norm threshold 0.212322 in range [0.212277, 0.212366]...	no solution exists.
	Iteration #015: testing norm threshold 0.212344 in range [0.212322, 0.212366]...	no solution exists.
	Iteration #016: testing norm threshold 0.212355 in range [0.212344, 0.212366]...	solution exists & found.
	Iteration #017: testing norm threshold 0.212350 in range [0.212344, 0.212355]...	solution exists & found.


Factual sample: 		 {x0 : -2.783500256338053, x1 : -3.254878324426816, y: False}
Nearest counterfactual sample:	 {x0 : 2.4049985346666327, x1 : -3.254693140561683, y: True} (verified)
Minimum counterfactual distance: 0.212350
