

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


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 0.162866 in range [0.000000, 0.325732]...	no solution exists.
	Iteration #003: testing norm threshold 0.244299 in range [0.162866, 0.325732]...	no solution exists.
	Iteration #004: testing norm threshold 0.285016 in range [0.244299, 0.325732]...	no solution exists.
	Iteration #005: testing norm threshold 0.305374 in range [0.285016, 0.325732]...	no solution exists.
	Iteration #006: testing norm threshold 0.315553 in range [0.305374, 0.325732]...	solution exists & found.
	Iteration #007: testing norm threshold 0.310463 in range [0.305374, 0.315553]...	no solution exists.
	Iteration #008: testing norm threshold 0.313008 in range [0.310463, 0.315553]...	no solution exists.
	Iteration #009: testing norm threshold 0.314281 in range [0.313008, 0.315553]...	solution exists & found.
	Iteration #010: testing norm threshold 0.313645 in range [0.313008, 0.314281]...	solution exists & found.
	Iteration #011: testing norm threshold 0.313326 in range [0.313008, 0.313645]...	solution exists & found.
	Iteration #012: testing norm threshold 0.313167 in range [0.313008, 0.313327]...	no solution exists.
	Iteration #013: testing norm threshold 0.313247 in range [0.313167, 0.313327]...	no solution exists.
	Iteration #014: testing norm threshold 0.313287 in range [0.313247, 0.313327]...	no solution exists.
	Iteration #015: testing norm threshold 0.313307 in range [0.313287, 0.313327]...	no solution exists.
	Iteration #016: testing norm threshold 0.313317 in range [0.313307, 0.313327]...	no solution exists.


Factual sample: 		 {x0 : -4.8647917744565845, x1 : -3.6041703520614985, y: False}
Nearest counterfactual sample:	 {x0 : 2.791247534885445, x1 : -3.6041703520614985, y: True} (verified)
Minimum counterfactual distance: 0.313326
