

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


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 0.149314 in range [0.000000, 0.298627]...	no solution exists.
	Iteration #003: testing norm threshold 0.223970 in range [0.149314, 0.298627]...	no solution exists.
	Iteration #004: testing norm threshold 0.261299 in range [0.223970, 0.298627]...	no solution exists.
	Iteration #005: testing norm threshold 0.279963 in range [0.261299, 0.298627]...	no solution exists.
	Iteration #006: testing norm threshold 0.289295 in range [0.279963, 0.298627]...	solution exists & found.
	Iteration #007: testing norm threshold 0.284629 in range [0.279963, 0.289295]...	no solution exists.
	Iteration #008: testing norm threshold 0.286962 in range [0.284629, 0.289295]...	solution exists & found.
	Iteration #009: testing norm threshold 0.285796 in range [0.284629, 0.286962]...	no solution exists.
	Iteration #010: testing norm threshold 0.286379 in range [0.285796, 0.286962]...	no solution exists.
	Iteration #011: testing norm threshold 0.286671 in range [0.286379, 0.286962]...	solution exists & found.
	Iteration #012: testing norm threshold 0.286525 in range [0.286379, 0.286671]...	solution exists & found.
	Iteration #013: testing norm threshold 0.286452 in range [0.286379, 0.286525]...	solution exists & found.
	Iteration #014: testing norm threshold 0.286415 in range [0.286379, 0.286452]...	no solution exists.
	Iteration #015: testing norm threshold 0.286434 in range [0.286415, 0.286452]...	solution exists & found.
	Iteration #016: testing norm threshold 0.286425 in range [0.286415, 0.286434]...	solution exists & found.


Factual sample: 		 {x0 : -4.935855627644195, x1 : -2.8095964670860902, y: False}
Nearest counterfactual sample:	 {x0 : 2.06255769840687, x1 : -2.8093292006913786, y: True} (verified)
Minimum counterfactual distance: 0.286425
