

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


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 0.137606 in range [0.000000, 0.275212]...	no solution exists.
	Iteration #003: testing norm threshold 0.206409 in range [0.137606, 0.275212]...	no solution exists.
	Iteration #004: testing norm threshold 0.240811 in range [0.206409, 0.275212]...	solution exists & found.
	Iteration #005: testing norm threshold 0.223610 in range [0.206409, 0.240811]...	solution exists & found.
	Iteration #006: testing norm threshold 0.215009 in range [0.206409, 0.223610]...	solution exists & found.
	Iteration #007: testing norm threshold 0.210709 in range [0.206409, 0.215010]...	solution exists & found.
	Iteration #008: testing norm threshold 0.208559 in range [0.206409, 0.210709]...	no solution exists.
	Iteration #009: testing norm threshold 0.209634 in range [0.208559, 0.210709]...	no solution exists.
	Iteration #010: testing norm threshold 0.210172 in range [0.209634, 0.210709]...	solution exists & found.
	Iteration #011: testing norm threshold 0.209903 in range [0.209634, 0.210172]...	no solution exists.
	Iteration #012: testing norm threshold 0.210038 in range [0.209903, 0.210172]...	solution exists & found.
	Iteration #013: testing norm threshold 0.209970 in range [0.209903, 0.210038]...	no solution exists.
	Iteration #014: testing norm threshold 0.210004 in range [0.209970, 0.210038]...	solution exists & found.
	Iteration #015: testing norm threshold 0.209987 in range [0.209970, 0.210004]...	no solution exists.
	Iteration #016: testing norm threshold 0.209996 in range [0.209987, 0.210004]...	solution exists & found.


Factual sample: 		 {x0 : -3.103668471788573, x1 : -2.221136152515696, y: False}
Nearest counterfactual sample:	 {x0 : 1.9023005287167691, x1 : -2.2211350186122116, y: True} (verified)
Minimum counterfactual distance: 0.209996
