

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


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 0.129867 in range [0.000000, 0.259733]...	no solution exists.
	Iteration #003: testing norm threshold 0.194800 in range [0.129867, 0.259733]...	no solution exists.
	Iteration #004: testing norm threshold 0.227266 in range [0.194800, 0.259733]...	solution exists & found.
	Iteration #005: testing norm threshold 0.211033 in range [0.194800, 0.227267]...	no solution exists.
	Iteration #006: testing norm threshold 0.219150 in range [0.211033, 0.227267]...	solution exists & found.
	Iteration #007: testing norm threshold 0.215092 in range [0.211033, 0.219150]...	solution exists & found.
	Iteration #008: testing norm threshold 0.213062 in range [0.211033, 0.215092]...	solution exists & found.
	Iteration #009: testing norm threshold 0.212048 in range [0.211033, 0.213063]...	solution exists & found.
	Iteration #010: testing norm threshold 0.211541 in range [0.211033, 0.212048]...	no solution exists.
	Iteration #011: testing norm threshold 0.211794 in range [0.211541, 0.212048]...	solution exists & found.
	Iteration #012: testing norm threshold 0.211667 in range [0.211541, 0.211794]...	no solution exists.
	Iteration #013: testing norm threshold 0.211731 in range [0.211667, 0.211794]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211699 in range [0.211667, 0.211731]...	solution exists & found.
	Iteration #015: testing norm threshold 0.211683 in range [0.211667, 0.211699]...	no solution exists.
	Iteration #016: testing norm threshold 0.211691 in range [0.211683, 0.211699]...	solution exists & found.


Factual sample: 		 {x0 : -1.7850726751057049, x1 : -3.863550701948331, y: False}
Nearest counterfactual sample:	 {x0 : 3.2609756136694097, x1 : -3.863213411290182, y: True} (verified)
Minimum counterfactual distance: 0.211691
