

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


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 0.215788 in range [0.000000, 0.431576]...	no solution exists.
	Iteration #003: testing norm threshold 0.323682 in range [0.215788, 0.431576]...	solution exists & found.
	Iteration #004: testing norm threshold 0.263667 in range [0.215788, 0.311546]...	solution exists & found.
	Iteration #005: testing norm threshold 0.239727 in range [0.215788, 0.263667]...	no solution exists.
	Iteration #006: testing norm threshold 0.251697 in range [0.239727, 0.263667]...	no solution exists.
	Iteration #007: testing norm threshold 0.257682 in range [0.251697, 0.263667]...	no solution exists.
	Iteration #008: testing norm threshold 0.260675 in range [0.257682, 0.263667]...	no solution exists.
	Iteration #009: testing norm threshold 0.262171 in range [0.260675, 0.263667]...	solution exists & found.
	Iteration #010: testing norm threshold 0.261423 in range [0.260675, 0.262171]...	no solution exists.
	Iteration #011: testing norm threshold 0.261797 in range [0.261423, 0.262171]...	solution exists & found.
	Iteration #012: testing norm threshold 0.261610 in range [0.261423, 0.261797]...	no solution exists.
	Iteration #013: testing norm threshold 0.261703 in range [0.261610, 0.261797]...	solution exists & found.
	Iteration #014: testing norm threshold 0.261657 in range [0.261610, 0.261703]...	solution exists & found.
	Iteration #015: testing norm threshold 0.261633 in range [0.261610, 0.261657]...	solution exists & found.
	Iteration #016: testing norm threshold 0.261622 in range [0.261610, 0.261633]...	solution exists & found.
	Iteration #017: testing norm threshold 0.261616 in range [0.261610, 0.261622]...	no solution exists.


Factual sample: 		 {x0 : -3.4510844928696773, x1 : -3.9525198877158494, y: False}
Nearest counterfactual sample:	 {x0 : 2.9415254672371915, x1 : -3.952486303815638, y: True} (verified)
Minimum counterfactual distance: 0.261622
