

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.133761 in range [0.000000, 0.267523]...	no solution exists.
	Iteration #003: testing norm threshold 0.200642 in range [0.133761, 0.267523]...	no solution exists.
	Iteration #004: testing norm threshold 0.234083 in range [0.200642, 0.267523]...	no solution exists.
	Iteration #005: testing norm threshold 0.250803 in range [0.234083, 0.267523]...	no solution exists.
	Iteration #006: testing norm threshold 0.259163 in range [0.250803, 0.267523]...	solution exists & found.
	Iteration #007: testing norm threshold 0.254983 in range [0.250803, 0.259163]...	solution exists & found.
	Iteration #008: testing norm threshold 0.252893 in range [0.250803, 0.254983]...	no solution exists.
	Iteration #009: testing norm threshold 0.253938 in range [0.252893, 0.254983]...	no solution exists.
	Iteration #010: testing norm threshold 0.254460 in range [0.253938, 0.254983]...	no solution exists.
	Iteration #011: testing norm threshold 0.254722 in range [0.254460, 0.254983]...	solution exists & found.
	Iteration #012: testing norm threshold 0.254591 in range [0.254460, 0.254722]...	no solution exists.
	Iteration #013: testing norm threshold 0.254656 in range [0.254591, 0.254722]...	solution exists & found.
	Iteration #014: testing norm threshold 0.254624 in range [0.254591, 0.254657]...	solution exists & found.
	Iteration #015: testing norm threshold 0.254608 in range [0.254591, 0.254624]...	solution exists & found.
	Iteration #016: testing norm threshold 0.254599 in range [0.254591, 0.254608]...	solution exists & found.


Factual sample: 		 {x0 : -3.6061701595812727, x1 : -2.8988996974575447, y: False}
Nearest counterfactual sample:	 {x0 : 2.463083128849658, x1 : -2.8988996974575447, y: True} (verified)
Minimum counterfactual distance: 0.254599
