

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


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 0.108593 in range [0.000000, 0.217187]...	no solution exists.
	Iteration #003: testing norm threshold 0.162890 in range [0.108593, 0.217187]...	no solution exists.
	Iteration #004: testing norm threshold 0.190038 in range [0.162890, 0.217187]...	solution exists & found.
	Iteration #005: testing norm threshold 0.169405 in range [0.162890, 0.175920]...	solution exists & found.
	Iteration #006: testing norm threshold 0.166148 in range [0.162890, 0.169405]...	solution exists & found.
	Iteration #007: testing norm threshold 0.164519 in range [0.162890, 0.166148]...	solution exists & found.
	Iteration #008: testing norm threshold 0.163704 in range [0.162890, 0.164519]...	solution exists & found.
	Iteration #009: testing norm threshold 0.163297 in range [0.162890, 0.163705]...	solution exists & found.
	Iteration #010: testing norm threshold 0.163094 in range [0.162890, 0.163297]...	solution exists & found.
	Iteration #011: testing norm threshold 0.162992 in range [0.162890, 0.163094]...	no solution exists.
	Iteration #012: testing norm threshold 0.163043 in range [0.162992, 0.163094]...	solution exists & found.
	Iteration #013: testing norm threshold 0.163017 in range [0.162992, 0.163043]...	solution exists & found.
	Iteration #014: testing norm threshold 0.163005 in range [0.162992, 0.163018]...	solution exists & found.
	Iteration #015: testing norm threshold 0.162998 in range [0.162992, 0.163005]...	solution exists & found.


Factual sample: 		 {x0 : -1.202474340327328, x1 : -3.1648258023647373, y: False}
Nearest counterfactual sample:	 {x0 : 2.6829720035415816, x1 : -3.1646493782540253, y: True} (verified)
Minimum counterfactual distance: 0.162998
