

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


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 0.137873 in range [0.000000, 0.275746]...	no solution exists.
	Iteration #003: testing norm threshold 0.206810 in range [0.137873, 0.275746]...	no solution exists.
	Iteration #004: testing norm threshold 0.241278 in range [0.206810, 0.275746]...	solution exists & found.
	Iteration #005: testing norm threshold 0.221889 in range [0.206810, 0.236968]...	no solution exists.
	Iteration #006: testing norm threshold 0.229429 in range [0.221889, 0.236968]...	solution exists & found.
	Iteration #007: testing norm threshold 0.225659 in range [0.221889, 0.229429]...	solution exists & found.
	Iteration #008: testing norm threshold 0.223774 in range [0.221889, 0.225659]...	no solution exists.
	Iteration #009: testing norm threshold 0.224716 in range [0.223774, 0.225659]...	solution exists & found.
	Iteration #010: testing norm threshold 0.224245 in range [0.223774, 0.224716]...	solution exists & found.
	Iteration #011: testing norm threshold 0.224010 in range [0.223774, 0.224245]...	no solution exists.
	Iteration #012: testing norm threshold 0.224127 in range [0.224010, 0.224245]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224069 in range [0.224010, 0.224128]...	solution exists & found.
	Iteration #014: testing norm threshold 0.224039 in range [0.224010, 0.224069]...	no solution exists.
	Iteration #015: testing norm threshold 0.224054 in range [0.224039, 0.224069]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224047 in range [0.224039, 0.224054]...	solution exists & found.


Factual sample: 		 {x0 : -3.440189380269754, x1 : -2.219156811268195, y: False}
Nearest counterfactual sample:	 {x0 : 1.9005522883843524, x1 : -2.218981051619042, y: True} (verified)
Minimum counterfactual distance: 0.224047
