

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


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 0.136706 in range [0.000000, 0.273412]...	no solution exists.
	Iteration #003: testing norm threshold 0.205059 in range [0.136706, 0.273412]...	no solution exists.
	Iteration #004: testing norm threshold 0.239236 in range [0.205059, 0.273412]...	solution exists & found.
	Iteration #005: testing norm threshold 0.219847 in range [0.205059, 0.234634]...	no solution exists.
	Iteration #006: testing norm threshold 0.227240 in range [0.219847, 0.234634]...	solution exists & found.
	Iteration #007: testing norm threshold 0.223544 in range [0.219847, 0.227241]...	solution exists & found.
	Iteration #008: testing norm threshold 0.221695 in range [0.219847, 0.223544]...	no solution exists.
	Iteration #009: testing norm threshold 0.222619 in range [0.221695, 0.223544]...	solution exists & found.
	Iteration #010: testing norm threshold 0.222157 in range [0.221695, 0.222620]...	solution exists & found.
	Iteration #011: testing norm threshold 0.221926 in range [0.221695, 0.222157]...	solution exists & found.
	Iteration #012: testing norm threshold 0.221811 in range [0.221695, 0.221926]...	solution exists & found.
	Iteration #013: testing norm threshold 0.221753 in range [0.221695, 0.221811]...	solution exists & found.
	Iteration #014: testing norm threshold 0.221724 in range [0.221695, 0.221753]...	solution exists & found.
	Iteration #015: testing norm threshold 0.221710 in range [0.221695, 0.221724]...	solution exists & found.
	Iteration #016: testing norm threshold 0.221703 in range [0.221695, 0.221710]...	no solution exists.


Factual sample: 		 {x0 : -2.858745549542502, x1 : -2.854669559638559, y: False}
Nearest counterfactual sample:	 {x0 : 2.4264692872390734, x1 : -2.854669682285673, y: True} (verified)
Minimum counterfactual distance: 0.221710
