

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


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 0.146201 in range [0.000000, 0.292401]...	no solution exists.
	Iteration #003: testing norm threshold 0.219301 in range [0.146201, 0.292401]...	solution exists & found.
	Iteration #004: testing norm threshold 0.182751 in range [0.146201, 0.219301]...	no solution exists.
	Iteration #005: testing norm threshold 0.201026 in range [0.182751, 0.219301]...	no solution exists.
	Iteration #006: testing norm threshold 0.210163 in range [0.201026, 0.219301]...	solution exists & found.
	Iteration #007: testing norm threshold 0.205595 in range [0.201026, 0.210163]...	no solution exists.
	Iteration #008: testing norm threshold 0.207879 in range [0.205595, 0.210163]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206737 in range [0.205595, 0.207879]...	no solution exists.
	Iteration #010: testing norm threshold 0.207308 in range [0.206737, 0.207879]...	no solution exists.
	Iteration #011: testing norm threshold 0.207594 in range [0.207308, 0.207879]...	no solution exists.
	Iteration #012: testing norm threshold 0.207736 in range [0.207594, 0.207879]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207665 in range [0.207594, 0.207736]...	no solution exists.
	Iteration #014: testing norm threshold 0.207701 in range [0.207665, 0.207736]...	no solution exists.
	Iteration #015: testing norm threshold 0.207719 in range [0.207701, 0.207736]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207710 in range [0.207701, 0.207719]...	no solution exists.


Factual sample: 		 {x0 : -3.12031526155422, x1 : -2.570288628525421, y: False}
Nearest counterfactual sample:	 {x0 : 1.95517130150169, x1 : -2.570341574814864, y: True} (verified)
Minimum counterfactual distance: 0.207719
