

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


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 0.143372 in range [0.000000, 0.286743]...	no solution exists.
	Iteration #003: testing norm threshold 0.215057 in range [0.143372, 0.286743]...	solution exists & found.
	Iteration #004: testing norm threshold 0.179214 in range [0.143372, 0.215057]...	no solution exists.
	Iteration #005: testing norm threshold 0.197136 in range [0.179214, 0.215057]...	solution exists & found.
	Iteration #006: testing norm threshold 0.188175 in range [0.179214, 0.197136]...	no solution exists.
	Iteration #007: testing norm threshold 0.192656 in range [0.188175, 0.197136]...	no solution exists.
	Iteration #008: testing norm threshold 0.194896 in range [0.192656, 0.197136]...	solution exists & found.
	Iteration #009: testing norm threshold 0.193776 in range [0.192656, 0.194896]...	solution exists & found.
	Iteration #010: testing norm threshold 0.193216 in range [0.192656, 0.193776]...	solution exists & found.
	Iteration #011: testing norm threshold 0.192936 in range [0.192656, 0.193216]...	no solution exists.
	Iteration #012: testing norm threshold 0.193076 in range [0.192936, 0.193216]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193006 in range [0.192936, 0.193076]...	no solution exists.
	Iteration #014: testing norm threshold 0.193041 in range [0.193006, 0.193076]...	no solution exists.
	Iteration #015: testing norm threshold 0.193058 in range [0.193041, 0.193076]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193050 in range [0.193041, 0.193059]...	no solution exists.


Factual sample: 		 {x0 : -3.929591347269812, x1 : -1.151433934645259, y: False}
Nearest counterfactual sample:	 {x0 : 0.7875428732037544, x1 : -1.1512561665771421, y: True} (verified)
Minimum counterfactual distance: 0.193058
