

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


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 0.111989 in range [0.000000, 0.223978]...	no solution exists.
	Iteration #003: testing norm threshold 0.167983 in range [0.111989, 0.223978]...	no solution exists.
	Iteration #004: testing norm threshold 0.195981 in range [0.167983, 0.223978]...	no solution exists.
	Iteration #005: testing norm threshold 0.209979 in range [0.195981, 0.223978]...	no solution exists.
	Iteration #006: testing norm threshold 0.216979 in range [0.209979, 0.223978]...	solution exists & found.
	Iteration #007: testing norm threshold 0.213479 in range [0.209979, 0.216979]...	solution exists & found.
	Iteration #008: testing norm threshold 0.211729 in range [0.209979, 0.213479]...	no solution exists.
	Iteration #009: testing norm threshold 0.212604 in range [0.211729, 0.213479]...	solution exists & found.
	Iteration #010: testing norm threshold 0.212167 in range [0.211729, 0.212604]...	solution exists & found.
	Iteration #011: testing norm threshold 0.211948 in range [0.211729, 0.212167]...	solution exists & found.
	Iteration #012: testing norm threshold 0.211839 in range [0.211729, 0.211948]...	solution exists & found.
	Iteration #013: testing norm threshold 0.211784 in range [0.211729, 0.211839]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211757 in range [0.211729, 0.211784]...	no solution exists.
	Iteration #015: testing norm threshold 0.211770 in range [0.211757, 0.211784]...	solution exists & found.
	Iteration #016: testing norm threshold 0.211763 in range [0.211757, 0.211770]...	no solution exists.


Factual sample: 		 {x0 : -2.900313933939848, x1 : -3.084656874285015, y: False}
Nearest counterfactual sample:	 {x0 : 2.274213606463164, x1 : -3.0846731603060427, y: True} (verified)
Minimum counterfactual distance: 0.211770
