

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


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 0.150037 in range [0.000000, 0.300074]...	no solution exists.
	Iteration #003: testing norm threshold 0.225055 in range [0.150037, 0.300074]...	no solution exists.
	Iteration #004: testing norm threshold 0.262565 in range [0.225055, 0.300074]...	solution exists & found.
	Iteration #005: testing norm threshold 0.243707 in range [0.225055, 0.262358]...	no solution exists.
	Iteration #006: testing norm threshold 0.253032 in range [0.243707, 0.262358]...	solution exists & found.
	Iteration #007: testing norm threshold 0.248370 in range [0.243707, 0.253032]...	no solution exists.
	Iteration #008: testing norm threshold 0.250701 in range [0.248370, 0.253032]...	solution exists & found.
	Iteration #009: testing norm threshold 0.249535 in range [0.248370, 0.250701]...	no solution exists.
	Iteration #010: testing norm threshold 0.250118 in range [0.249535, 0.250701]...	no solution exists.
	Iteration #011: testing norm threshold 0.250410 in range [0.250118, 0.250701]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250264 in range [0.250118, 0.250410]...	solution exists & found.
	Iteration #013: testing norm threshold 0.250191 in range [0.250118, 0.250264]...	solution exists & found.
	Iteration #014: testing norm threshold 0.250155 in range [0.250118, 0.250191]...	solution exists & found.
	Iteration #015: testing norm threshold 0.250137 in range [0.250118, 0.250155]...	no solution exists.
	Iteration #016: testing norm threshold 0.250146 in range [0.250137, 0.250155]...	no solution exists.


Factual sample: 		 {x0 : -3.8448343389459865, x1 : -3.075926879780657, y: False}
Nearest counterfactual sample:	 {x0 : 2.2676235964992792, x1 : -3.075926879780657, y: True} (verified)
Minimum counterfactual distance: 0.250155
