

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


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 0.181639 in range [0.000000, 0.363278]...	no solution exists.
	Iteration #003: testing norm threshold 0.272459 in range [0.181639, 0.363278]...	solution exists & found.
	Iteration #004: testing norm threshold 0.227049 in range [0.181639, 0.272459]...	no solution exists.
	Iteration #005: testing norm threshold 0.249754 in range [0.227049, 0.272459]...	no solution exists.
	Iteration #006: testing norm threshold 0.261106 in range [0.249754, 0.272459]...	solution exists & found.
	Iteration #007: testing norm threshold 0.255430 in range [0.249754, 0.261107]...	no solution exists.
	Iteration #008: testing norm threshold 0.258268 in range [0.255430, 0.261107]...	no solution exists.
	Iteration #009: testing norm threshold 0.259687 in range [0.258268, 0.261107]...	no solution exists.
	Iteration #010: testing norm threshold 0.260397 in range [0.259687, 0.261107]...	no solution exists.
	Iteration #011: testing norm threshold 0.260752 in range [0.260397, 0.261107]...	no solution exists.
	Iteration #012: testing norm threshold 0.260929 in range [0.260752, 0.261107]...	no solution exists.
	Iteration #013: testing norm threshold 0.261018 in range [0.260929, 0.261107]...	no solution exists.
	Iteration #014: testing norm threshold 0.261062 in range [0.261018, 0.261107]...	no solution exists.
	Iteration #015: testing norm threshold 0.261084 in range [0.261062, 0.261107]...	solution exists & found.
	Iteration #016: testing norm threshold 0.261073 in range [0.261062, 0.261084]...	solution exists & found.
	Iteration #017: testing norm threshold 0.261068 in range [0.261062, 0.261073]...	no solution exists.


Factual sample: 		 {x0 : -2.753664877401408, x1 : -4.635930531281856, y: False}
Nearest counterfactual sample:	 {x0 : 3.6255533507762023, x1 : -4.635959816629691, y: True} (verified)
Minimum counterfactual distance: 0.261073
