

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


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 0.157572 in range [0.000000, 0.315143]...	no solution exists.
	Iteration #003: testing norm threshold 0.236358 in range [0.157572, 0.315143]...	solution exists & found.
	Iteration #004: testing norm threshold 0.196965 in range [0.157572, 0.236358]...	no solution exists.
	Iteration #005: testing norm threshold 0.216661 in range [0.196965, 0.236358]...	no solution exists.
	Iteration #006: testing norm threshold 0.226509 in range [0.216661, 0.236358]...	solution exists & found.
	Iteration #007: testing norm threshold 0.221585 in range [0.216661, 0.226510]...	no solution exists.
	Iteration #008: testing norm threshold 0.224047 in range [0.221585, 0.226510]...	no solution exists.
	Iteration #009: testing norm threshold 0.225279 in range [0.224047, 0.226510]...	solution exists & found.
	Iteration #010: testing norm threshold 0.224663 in range [0.224047, 0.225279]...	no solution exists.
	Iteration #011: testing norm threshold 0.224971 in range [0.224663, 0.225279]...	solution exists & found.
	Iteration #012: testing norm threshold 0.224817 in range [0.224663, 0.224971]...	no solution exists.
	Iteration #013: testing norm threshold 0.224894 in range [0.224817, 0.224971]...	solution exists & found.
	Iteration #014: testing norm threshold 0.224856 in range [0.224817, 0.224894]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224836 in range [0.224817, 0.224856]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224827 in range [0.224817, 0.224836]...	no solution exists.


Factual sample: 		 {x0 : -3.160815510956289, x1 : -3.037524604979738, y: False}
Nearest counterfactual sample:	 {x0 : 2.3328745747590034, x1 : -3.0374142958904193, y: True} (verified)
Minimum counterfactual distance: 0.224836
