

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


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 0.146234 in range [0.000000, 0.292467]...	no solution exists.
	Iteration #003: testing norm threshold 0.219351 in range [0.146234, 0.292467]...	no solution exists.
	Iteration #004: testing norm threshold 0.255909 in range [0.219351, 0.292467]...	no solution exists.
	Iteration #005: testing norm threshold 0.274188 in range [0.255909, 0.292467]...	solution exists & found.
	Iteration #006: testing norm threshold 0.265014 in range [0.255909, 0.274120]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260462 in range [0.255909, 0.265014]...	no solution exists.
	Iteration #008: testing norm threshold 0.262738 in range [0.260462, 0.265014]...	solution exists & found.
	Iteration #009: testing norm threshold 0.261600 in range [0.260462, 0.262738]...	solution exists & found.
	Iteration #010: testing norm threshold 0.261031 in range [0.260462, 0.261600]...	no solution exists.
	Iteration #011: testing norm threshold 0.261315 in range [0.261031, 0.261600]...	solution exists & found.
	Iteration #012: testing norm threshold 0.261173 in range [0.261031, 0.261316]...	no solution exists.
	Iteration #013: testing norm threshold 0.261244 in range [0.261173, 0.261316]...	solution exists & found.
	Iteration #014: testing norm threshold 0.261209 in range [0.261173, 0.261244]...	solution exists & found.
	Iteration #015: testing norm threshold 0.261191 in range [0.261173, 0.261209]...	no solution exists.
	Iteration #016: testing norm threshold 0.261200 in range [0.261191, 0.261209]...	solution exists & found.


Factual sample: 		 {x0 : -4.670040037751652, x1 : -1.8031241569103489, y: False}
Nearest counterfactual sample:	 {x0 : 1.5565152005814136, x1 : -1.803169471929138, y: True} (verified)
Minimum counterfactual distance: 0.261200
