

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


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 0.164996 in range [0.000000, 0.329992]...	no solution exists.
	Iteration #003: testing norm threshold 0.247494 in range [0.164996, 0.329992]...	no solution exists.
	Iteration #004: testing norm threshold 0.288743 in range [0.247494, 0.329992]...	solution exists & found.
	Iteration #005: testing norm threshold 0.257393 in range [0.247494, 0.267292]...	solution exists & found.
	Iteration #006: testing norm threshold 0.252444 in range [0.247494, 0.257393]...	no solution exists.
	Iteration #007: testing norm threshold 0.254918 in range [0.252444, 0.257393]...	solution exists & found.
	Iteration #008: testing norm threshold 0.253681 in range [0.252444, 0.254918]...	no solution exists.
	Iteration #009: testing norm threshold 0.254300 in range [0.253681, 0.254918]...	no solution exists.
	Iteration #010: testing norm threshold 0.254609 in range [0.254300, 0.254918]...	solution exists & found.
	Iteration #011: testing norm threshold 0.254454 in range [0.254300, 0.254609]...	solution exists & found.
	Iteration #012: testing norm threshold 0.254377 in range [0.254300, 0.254455]...	solution exists & found.
	Iteration #013: testing norm threshold 0.254338 in range [0.254300, 0.254377]...	no solution exists.
	Iteration #014: testing norm threshold 0.254358 in range [0.254338, 0.254377]...	no solution exists.
	Iteration #015: testing norm threshold 0.254368 in range [0.254358, 0.254377]...	solution exists & found.


Factual sample: 		 {x0 : -2.8902826432984954, x1 : -3.757489894068876, y: False}
Nearest counterfactual sample:	 {x0 : 3.173427848897747, x1 : -3.757474712477395, y: True} (verified)
Minimum counterfactual distance: 0.254368
