

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.144337 in range [0.000000, 0.288673]...	no solution exists.
	Iteration #003: testing norm threshold 0.216505 in range [0.144337, 0.288673]...	no solution exists.
	Iteration #004: testing norm threshold 0.252589 in range [0.216505, 0.288673]...	no solution exists.
	Iteration #005: testing norm threshold 0.270631 in range [0.252589, 0.288673]...	no solution exists.
	Iteration #006: testing norm threshold 0.279652 in range [0.270631, 0.288673]...	solution exists & found.
	Iteration #007: testing norm threshold 0.275142 in range [0.270631, 0.279652]...	no solution exists.
	Iteration #008: testing norm threshold 0.277397 in range [0.275142, 0.279652]...	solution exists & found.
	Iteration #009: testing norm threshold 0.276269 in range [0.275142, 0.277397]...	no solution exists.
	Iteration #010: testing norm threshold 0.276833 in range [0.276269, 0.277397]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276551 in range [0.276269, 0.276833]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276410 in range [0.276269, 0.276551]...	no solution exists.
	Iteration #013: testing norm threshold 0.276481 in range [0.276410, 0.276551]...	solution exists & found.
	Iteration #014: testing norm threshold 0.276446 in range [0.276410, 0.276481]...	no solution exists.
	Iteration #015: testing norm threshold 0.276463 in range [0.276446, 0.276481]...	no solution exists.
	Iteration #016: testing norm threshold 0.276472 in range [0.276463, 0.276481]...	solution exists & found.


Factual sample: 		 {x0 : -3.791204739409314, x1 : -3.981867640970709, y: False}
Nearest counterfactual sample:	 {x0 : 2.9639559801326123, x1 : -3.981539354073561, y: True} (verified)
Minimum counterfactual distance: 0.276472
