

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


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 0.189655 in range [0.000000, 0.379310]...	no solution exists.
	Iteration #003: testing norm threshold 0.284482 in range [0.189655, 0.379310]...	solution exists & found.
	Iteration #004: testing norm threshold 0.237069 in range [0.189655, 0.284482]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213035 in range [0.189655, 0.236416]...	no solution exists.
	Iteration #006: testing norm threshold 0.224725 in range [0.213035, 0.236416]...	solution exists & found.
	Iteration #007: testing norm threshold 0.218880 in range [0.213035, 0.224726]...	no solution exists.
	Iteration #008: testing norm threshold 0.221803 in range [0.218880, 0.224726]...	no solution exists.
	Iteration #009: testing norm threshold 0.223264 in range [0.221803, 0.224726]...	no solution exists.
	Iteration #010: testing norm threshold 0.223995 in range [0.223264, 0.224726]...	no solution exists.
	Iteration #011: testing norm threshold 0.224360 in range [0.223995, 0.224726]...	solution exists & found.
	Iteration #012: testing norm threshold 0.224178 in range [0.223995, 0.224360]...	no solution exists.
	Iteration #013: testing norm threshold 0.224269 in range [0.224178, 0.224360]...	solution exists & found.
	Iteration #014: testing norm threshold 0.224223 in range [0.224178, 0.224269]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224201 in range [0.224178, 0.224223]...	no solution exists.
	Iteration #016: testing norm threshold 0.224212 in range [0.224201, 0.224223]...	solution exists & found.
	Iteration #017: testing norm threshold 0.224206 in range [0.224201, 0.224212]...	no solution exists.


Factual sample: 		 {x0 : -2.1919581377991664, x1 : -4.401074914269873, y: False}
Nearest counterfactual sample:	 {x0 : 3.2865960702208463, x1 : -4.401074914269873, y: True} (verified)
Minimum counterfactual distance: 0.224212
