

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


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 0.211185 in range [0.000000, 0.422369]...	no solution exists.
	Iteration #003: testing norm threshold 0.316777 in range [0.211185, 0.422369]...	solution exists & found.
	Iteration #004: testing norm threshold 0.263981 in range [0.211185, 0.316777]...	no solution exists.
	Iteration #005: testing norm threshold 0.290379 in range [0.263981, 0.316777]...	no solution exists.
	Iteration #006: testing norm threshold 0.303578 in range [0.290379, 0.316777]...	solution exists & found.
	Iteration #007: testing norm threshold 0.296978 in range [0.290379, 0.303578]...	solution exists & found.
	Iteration #008: testing norm threshold 0.293679 in range [0.290379, 0.296979]...	solution exists & found.
	Iteration #009: testing norm threshold 0.292029 in range [0.290379, 0.293679]...	solution exists & found.
	Iteration #010: testing norm threshold 0.291204 in range [0.290379, 0.292029]...	no solution exists.
	Iteration #011: testing norm threshold 0.291616 in range [0.291204, 0.292029]...	solution exists & found.
	Iteration #012: testing norm threshold 0.291410 in range [0.291204, 0.291617]...	solution exists & found.
	Iteration #013: testing norm threshold 0.291307 in range [0.291204, 0.291410]...	solution exists & found.
	Iteration #014: testing norm threshold 0.291256 in range [0.291204, 0.291307]...	solution exists & found.
	Iteration #015: testing norm threshold 0.291230 in range [0.291204, 0.291256]...	solution exists & found.
	Iteration #016: testing norm threshold 0.291217 in range [0.291204, 0.291230]...	no solution exists.
	Iteration #017: testing norm threshold 0.291223 in range [0.291217, 0.291230]...	no solution exists.


Factual sample: 		 {x0 : -3.172057507237942, x1 : -4.478970530704366, y: False}
Nearest counterfactual sample:	 {x0 : 3.7704067771267953, x1 : -4.478970530704366, y: True} (verified)
Minimum counterfactual distance: 0.291230
