

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


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 0.131415 in range [0.000000, 0.262829]...	no solution exists.
	Iteration #003: testing norm threshold 0.197122 in range [0.131415, 0.262829]...	no solution exists.
	Iteration #004: testing norm threshold 0.229976 in range [0.197122, 0.262829]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213549 in range [0.197122, 0.229976]...	no solution exists.
	Iteration #006: testing norm threshold 0.221762 in range [0.213549, 0.229976]...	no solution exists.
	Iteration #007: testing norm threshold 0.225869 in range [0.221762, 0.229976]...	solution exists & found.
	Iteration #008: testing norm threshold 0.223816 in range [0.221762, 0.225869]...	solution exists & found.
	Iteration #009: testing norm threshold 0.222789 in range [0.221762, 0.223816]...	solution exists & found.
	Iteration #010: testing norm threshold 0.222276 in range [0.221762, 0.222789]...	no solution exists.
	Iteration #011: testing norm threshold 0.222532 in range [0.222276, 0.222789]...	solution exists & found.
	Iteration #012: testing norm threshold 0.222404 in range [0.222276, 0.222532]...	no solution exists.
	Iteration #013: testing norm threshold 0.222468 in range [0.222404, 0.222532]...	no solution exists.
	Iteration #014: testing norm threshold 0.222500 in range [0.222468, 0.222532]...	no solution exists.
	Iteration #015: testing norm threshold 0.222516 in range [0.222500, 0.222532]...	no solution exists.
	Iteration #016: testing norm threshold 0.222524 in range [0.222516, 0.222532]...	solution exists & found.


Factual sample: 		 {x0 : -2.8295259150077188, x1 : -2.9132920713212465, y: False}
Nearest counterfactual sample:	 {x0 : 2.474745476641539, x1 : -2.912934787599966, y: True} (verified)
Minimum counterfactual distance: 0.222524
