

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


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 0.144830 in range [0.000000, 0.289661]...	no solution exists.
	Iteration #003: testing norm threshold 0.217245 in range [0.144830, 0.289661]...	no solution exists.
	Iteration #004: testing norm threshold 0.253453 in range [0.217245, 0.289661]...	solution exists & found.
	Iteration #005: testing norm threshold 0.225934 in range [0.217245, 0.234623]...	solution exists & found.
	Iteration #006: testing norm threshold 0.221590 in range [0.217245, 0.225934]...	no solution exists.
	Iteration #007: testing norm threshold 0.223762 in range [0.221590, 0.225934]...	solution exists & found.
	Iteration #008: testing norm threshold 0.222676 in range [0.221590, 0.223762]...	solution exists & found.
	Iteration #009: testing norm threshold 0.222133 in range [0.221590, 0.222676]...	solution exists & found.
	Iteration #010: testing norm threshold 0.221862 in range [0.221590, 0.222133]...	solution exists & found.
	Iteration #011: testing norm threshold 0.221726 in range [0.221590, 0.221862]...	solution exists & found.
	Iteration #012: testing norm threshold 0.221658 in range [0.221590, 0.221726]...	no solution exists.
	Iteration #013: testing norm threshold 0.221692 in range [0.221658, 0.221726]...	no solution exists.
	Iteration #014: testing norm threshold 0.221709 in range [0.221692, 0.221726]...	solution exists & found.
	Iteration #015: testing norm threshold 0.221700 in range [0.221692, 0.221709]...	solution exists & found.


Factual sample: 		 {x0 : -2.5225340371811864, x1 : -3.260716870747439, y: False}
Nearest counterfactual sample:	 {x0 : 2.7624587621828334, x1 : -3.260716870747439, y: True} (verified)
Minimum counterfactual distance: 0.221700
