

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


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 0.170150 in range [0.000000, 0.340300]...	no solution exists.
	Iteration #003: testing norm threshold 0.255225 in range [0.170150, 0.340300]...	no solution exists.
	Iteration #004: testing norm threshold 0.297763 in range [0.255225, 0.340300]...	solution exists & found.
	Iteration #005: testing norm threshold 0.276494 in range [0.255225, 0.297763]...	no solution exists.
	Iteration #006: testing norm threshold 0.287129 in range [0.276494, 0.297763]...	no solution exists.
	Iteration #007: testing norm threshold 0.292446 in range [0.287129, 0.297763]...	solution exists & found.
	Iteration #008: testing norm threshold 0.289787 in range [0.287129, 0.292446]...	no solution exists.
	Iteration #009: testing norm threshold 0.291117 in range [0.289787, 0.292446]...	solution exists & found.
	Iteration #010: testing norm threshold 0.290452 in range [0.289787, 0.291117]...	solution exists & found.
	Iteration #011: testing norm threshold 0.290120 in range [0.289787, 0.290452]...	no solution exists.
	Iteration #012: testing norm threshold 0.290286 in range [0.290120, 0.290452]...	no solution exists.
	Iteration #013: testing norm threshold 0.290369 in range [0.290286, 0.290452]...	no solution exists.
	Iteration #014: testing norm threshold 0.290410 in range [0.290369, 0.290452]...	solution exists & found.
	Iteration #015: testing norm threshold 0.290390 in range [0.290369, 0.290411]...	solution exists & found.
	Iteration #016: testing norm threshold 0.290379 in range [0.290369, 0.290390]...	solution exists & found.
	Iteration #017: testing norm threshold 0.290374 in range [0.290369, 0.290380]...	no solution exists.


Factual sample: 		 {x0 : -5.207542419581752, x1 : -2.5820309461989317, y: False}
Nearest counterfactual sample:	 {x0 : 1.887617904641729, x1 : -2.581868041765535, y: True} (verified)
Minimum counterfactual distance: 0.290379
