

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


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 0.047262 in range [0.000000, 0.094524]...	no solution exists.
	Iteration #003: testing norm threshold 0.070893 in range [0.047262, 0.094524]...	solution exists & found.
	Iteration #004: testing norm threshold 0.059078 in range [0.047262, 0.070893]...	no solution exists.
	Iteration #005: testing norm threshold 0.064985 in range [0.059078, 0.070893]...	solution exists & found.
	Iteration #006: testing norm threshold 0.062032 in range [0.059078, 0.064986]...	no solution exists.
	Iteration #007: testing norm threshold 0.063509 in range [0.062032, 0.064986]...	no solution exists.
	Iteration #008: testing norm threshold 0.064247 in range [0.063509, 0.064986]...	solution exists & found.
	Iteration #009: testing norm threshold 0.063878 in range [0.063509, 0.064247]...	solution exists & found.
	Iteration #010: testing norm threshold 0.063693 in range [0.063509, 0.063878]...	solution exists & found.
	Iteration #011: testing norm threshold 0.063601 in range [0.063509, 0.063693]...	no solution exists.
	Iteration #012: testing norm threshold 0.063647 in range [0.063601, 0.063693]...	solution exists & found.
	Iteration #013: testing norm threshold 0.063624 in range [0.063601, 0.063647]...	no solution exists.
	Iteration #014: testing norm threshold 0.063636 in range [0.063624, 0.063647]...	no solution exists.
	Iteration #015: testing norm threshold 0.063641 in range [0.063636, 0.063647]...	solution exists & found.


Factual sample: 		 {x0 : 0.1645104613439088, x1 : -1.9543613910810465, y: False}
Nearest counterfactual sample:	 {x0 : 1.6815067736069302, x1 : -1.9542469418340769, y: True} (verified)
Minimum counterfactual distance: 0.063641
