

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


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 0.190191 in range [0.000000, 0.380383]...	no solution exists.
	Iteration #003: testing norm threshold 0.285287 in range [0.190191, 0.380383]...	solution exists & found.
	Iteration #004: testing norm threshold 0.237739 in range [0.190191, 0.285287]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213687 in range [0.190191, 0.237184]...	no solution exists.
	Iteration #006: testing norm threshold 0.225435 in range [0.213687, 0.237184]...	solution exists & found.
	Iteration #007: testing norm threshold 0.219561 in range [0.213687, 0.225436]...	no solution exists.
	Iteration #008: testing norm threshold 0.222499 in range [0.219561, 0.225436]...	no solution exists.
	Iteration #009: testing norm threshold 0.223967 in range [0.222499, 0.225436]...	no solution exists.
	Iteration #010: testing norm threshold 0.224701 in range [0.223967, 0.225436]...	no solution exists.
	Iteration #011: testing norm threshold 0.225068 in range [0.224701, 0.225436]...	solution exists & found.
	Iteration #012: testing norm threshold 0.224885 in range [0.224701, 0.225069]...	no solution exists.
	Iteration #013: testing norm threshold 0.224977 in range [0.224885, 0.225069]...	solution exists & found.
	Iteration #014: testing norm threshold 0.224931 in range [0.224885, 0.224977]...	no solution exists.
	Iteration #015: testing norm threshold 0.224954 in range [0.224931, 0.224977]...	no solution exists.
	Iteration #016: testing norm threshold 0.224965 in range [0.224954, 0.224977]...	no solution exists.
	Iteration #017: testing norm threshold 0.224971 in range [0.224965, 0.224977]...	no solution exists.


Factual sample: 		 {x0 : -3.5483288514428235, x1 : -2.6615661453778, y: False}
Nearest counterfactual sample:	 {x0 : 1.9489107684444542, x1 : -2.6615661453778, y: True} (verified)
Minimum counterfactual distance: 0.224977
