

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


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 0.106594 in range [0.000000, 0.213188]...	no solution exists.
	Iteration #003: testing norm threshold 0.159891 in range [0.106594, 0.213188]...	solution exists & found.
	Iteration #004: testing norm threshold 0.133242 in range [0.106594, 0.159891]...	no solution exists.
	Iteration #005: testing norm threshold 0.146567 in range [0.133242, 0.159891]...	no solution exists.
	Iteration #006: testing norm threshold 0.153229 in range [0.146567, 0.159891]...	no solution exists.
	Iteration #007: testing norm threshold 0.156560 in range [0.153229, 0.159891]...	no solution exists.
	Iteration #008: testing norm threshold 0.158225 in range [0.156560, 0.159891]...	no solution exists.
	Iteration #009: testing norm threshold 0.159058 in range [0.158225, 0.159891]...	no solution exists.
	Iteration #010: testing norm threshold 0.159475 in range [0.159058, 0.159891]...	no solution exists.
	Iteration #011: testing norm threshold 0.159683 in range [0.159475, 0.159891]...	no solution exists.
	Iteration #012: testing norm threshold 0.159787 in range [0.159683, 0.159891]...	solution exists & found.
	Iteration #013: testing norm threshold 0.159735 in range [0.159683, 0.159787]...	no solution exists.
	Iteration #014: testing norm threshold 0.159761 in range [0.159735, 0.159787]...	solution exists & found.
	Iteration #015: testing norm threshold 0.159748 in range [0.159735, 0.159761]...	no solution exists.
	Iteration #016: testing norm threshold 0.159754 in range [0.159748, 0.159761]...	no solution exists.


Factual sample: 		 {x0 : -2.827112209633882, x1 : -1.107888432495315, y: False}
Nearest counterfactual sample:	 {x0 : 0.9813381078077573, x1 : -1.107888432495315, y: True} (verified)
Minimum counterfactual distance: 0.159761
