

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


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 0.140037 in range [0.000000, 0.280075]...	no solution exists.
	Iteration #003: testing norm threshold 0.210056 in range [0.140037, 0.280075]...	no solution exists.
	Iteration #004: testing norm threshold 0.245065 in range [0.210056, 0.280075]...	solution exists & found.
	Iteration #005: testing norm threshold 0.218457 in range [0.210056, 0.226859]...	solution exists & found.
	Iteration #006: testing norm threshold 0.214257 in range [0.210056, 0.218457]...	solution exists & found.
	Iteration #007: testing norm threshold 0.212156 in range [0.210056, 0.214257]...	no solution exists.
	Iteration #008: testing norm threshold 0.213207 in range [0.212156, 0.214257]...	no solution exists.
	Iteration #009: testing norm threshold 0.213732 in range [0.213207, 0.214257]...	no solution exists.
	Iteration #010: testing norm threshold 0.213994 in range [0.213732, 0.214257]...	solution exists & found.
	Iteration #011: testing norm threshold 0.213863 in range [0.213732, 0.213994]...	no solution exists.
	Iteration #012: testing norm threshold 0.213929 in range [0.213863, 0.213994]...	no solution exists.
	Iteration #013: testing norm threshold 0.213961 in range [0.213929, 0.213994]...	solution exists & found.
	Iteration #014: testing norm threshold 0.213945 in range [0.213929, 0.213962]...	solution exists & found.
	Iteration #015: testing norm threshold 0.213937 in range [0.213929, 0.213945]...	solution exists & found.


Factual sample: 		 {x0 : -2.3440257654202585, x1 : -3.2527552038429333, y: False}
Nearest counterfactual sample:	 {x0 : 2.755897113289172, x1 : -3.2527552038429333, y: True} (verified)
Minimum counterfactual distance: 0.213937
