

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


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 0.208077 in range [0.000000, 0.416154]...	no solution exists.
	Iteration #003: testing norm threshold 0.312116 in range [0.208077, 0.416154]...	no solution exists.
	Iteration #004: testing norm threshold 0.364135 in range [0.312116, 0.416154]...	no solution exists.
	Iteration #005: testing norm threshold 0.390144 in range [0.364135, 0.416154]...	solution exists & found.
	Iteration #006: testing norm threshold 0.377140 in range [0.364135, 0.390145]...	solution exists & found.
	Iteration #007: testing norm threshold 0.370637 in range [0.364135, 0.377140]...	solution exists & found.
	Iteration #008: testing norm threshold 0.367386 in range [0.364135, 0.370637]...	no solution exists.
	Iteration #009: testing norm threshold 0.369012 in range [0.367386, 0.370637]...	no solution exists.
	Iteration #010: testing norm threshold 0.369825 in range [0.369012, 0.370637]...	solution exists & found.
	Iteration #011: testing norm threshold 0.369418 in range [0.369012, 0.369825]...	no solution exists.
	Iteration #012: testing norm threshold 0.369621 in range [0.369418, 0.369825]...	no solution exists.
	Iteration #013: testing norm threshold 0.369723 in range [0.369621, 0.369825]...	solution exists & found.
	Iteration #014: testing norm threshold 0.369672 in range [0.369621, 0.369723]...	no solution exists.
	Iteration #015: testing norm threshold 0.369698 in range [0.369672, 0.369723]...	no solution exists.
	Iteration #016: testing norm threshold 0.369710 in range [0.369698, 0.369723]...	no solution exists.
	Iteration #017: testing norm threshold 0.369717 in range [0.369710, 0.369723]...	solution exists & found.


Factual sample: 		 {x0 : -5.715688442258624, x1 : -3.666005672012027, y: False}
Nearest counterfactual sample:	 {x0 : 3.097784270903499, x1 : -3.666005672012027, y: True} (verified)
Minimum counterfactual distance: 0.369717
