

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


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 0.168441 in range [0.000000, 0.336883]...	no solution exists.
	Iteration #003: testing norm threshold 0.252662 in range [0.168441, 0.336883]...	solution exists & found.
	Iteration #004: testing norm threshold 0.210552 in range [0.168441, 0.252662]...	no solution exists.
	Iteration #005: testing norm threshold 0.231607 in range [0.210552, 0.252662]...	solution exists & found.
	Iteration #006: testing norm threshold 0.221079 in range [0.210552, 0.231607]...	no solution exists.
	Iteration #007: testing norm threshold 0.226343 in range [0.221079, 0.231607]...	no solution exists.
	Iteration #008: testing norm threshold 0.228975 in range [0.226343, 0.231607]...	solution exists & found.
	Iteration #009: testing norm threshold 0.227659 in range [0.226343, 0.228975]...	no solution exists.
	Iteration #010: testing norm threshold 0.228317 in range [0.227659, 0.228975]...	no solution exists.
	Iteration #011: testing norm threshold 0.228646 in range [0.228317, 0.228975]...	no solution exists.
	Iteration #012: testing norm threshold 0.228811 in range [0.228646, 0.228975]...	no solution exists.
	Iteration #013: testing norm threshold 0.228893 in range [0.228811, 0.228975]...	no solution exists.
	Iteration #014: testing norm threshold 0.228934 in range [0.228893, 0.228975]...	no solution exists.
	Iteration #015: testing norm threshold 0.228955 in range [0.228934, 0.228975]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228945 in range [0.228934, 0.228955]...	no solution exists.
	Iteration #017: testing norm threshold 0.228950 in range [0.228945, 0.228955]...	solution exists & found.


Factual sample: 		 {x0 : -2.79803667847525, x1 : -3.763503862412448, y: False}
Nearest counterfactual sample:	 {x0 : 2.796243877555706, x1 : -3.7635390889874913, y: True} (verified)
Minimum counterfactual distance: 0.228950
