

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


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 0.061171 in range [0.000000, 0.122342]...	no solution exists.
	Iteration #003: testing norm threshold 0.091756 in range [0.061171, 0.122342]...	no solution exists.
	Iteration #004: testing norm threshold 0.107049 in range [0.091756, 0.122342]...	no solution exists.
	Iteration #005: testing norm threshold 0.114696 in range [0.107049, 0.122342]...	solution exists & found.
	Iteration #006: testing norm threshold 0.110872 in range [0.107049, 0.114696]...	solution exists & found.
	Iteration #007: testing norm threshold 0.108961 in range [0.107049, 0.110873]...	no solution exists.
	Iteration #008: testing norm threshold 0.109917 in range [0.108961, 0.110873]...	solution exists & found.
	Iteration #009: testing norm threshold 0.109439 in range [0.108961, 0.109917]...	solution exists & found.
	Iteration #010: testing norm threshold 0.109200 in range [0.108961, 0.109439]...	no solution exists.
	Iteration #011: testing norm threshold 0.109319 in range [0.109200, 0.109439]...	no solution exists.
	Iteration #012: testing norm threshold 0.109379 in range [0.109319, 0.109439]...	no solution exists.
	Iteration #013: testing norm threshold 0.109409 in range [0.109379, 0.109439]...	no solution exists.
	Iteration #014: testing norm threshold 0.109424 in range [0.109409, 0.109439]...	solution exists & found.
	Iteration #015: testing norm threshold 0.109417 in range [0.109409, 0.109424]...	no solution exists.


Factual sample: 		 {x0 : -1.4427234549729628, x1 : -1.3307510369517666, y: False}
Nearest counterfactual sample:	 {x0 : 1.1653712040412088, x1 : -1.3303558892229919, y: True} (verified)
Minimum counterfactual distance: 0.109424
