

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.167893 in range [0.000000, 0.335785]...	no solution exists.
	Iteration #003: testing norm threshold 0.251839 in range [0.167893, 0.335785]...	no solution exists.
	Iteration #004: testing norm threshold 0.293812 in range [0.251839, 0.335785]...	solution exists & found.
	Iteration #005: testing norm threshold 0.272826 in range [0.251839, 0.293812]...	no solution exists.
	Iteration #006: testing norm threshold 0.283319 in range [0.272826, 0.293812]...	no solution exists.
	Iteration #007: testing norm threshold 0.288566 in range [0.283319, 0.293812]...	no solution exists.
	Iteration #008: testing norm threshold 0.291189 in range [0.288566, 0.293812]...	solution exists & found.
	Iteration #009: testing norm threshold 0.289877 in range [0.288566, 0.291189]...	no solution exists.
	Iteration #010: testing norm threshold 0.290533 in range [0.289877, 0.291189]...	solution exists & found.
	Iteration #011: testing norm threshold 0.290205 in range [0.289877, 0.290533]...	solution exists & found.
	Iteration #012: testing norm threshold 0.290041 in range [0.289877, 0.290205]...	solution exists & found.
	Iteration #013: testing norm threshold 0.289959 in range [0.289877, 0.290041]...	no solution exists.
	Iteration #014: testing norm threshold 0.290000 in range [0.289959, 0.290041]...	solution exists & found.
	Iteration #015: testing norm threshold 0.289980 in range [0.289959, 0.290000]...	no solution exists.
	Iteration #016: testing norm threshold 0.289990 in range [0.289980, 0.290000]...	solution exists & found.
	Iteration #017: testing norm threshold 0.289985 in range [0.289980, 0.289990]...	solution exists & found.


Factual sample: 		 {x0 : -2.6994892261316847, x1 : -4.5318925208644, y: False}
Nearest counterfactual sample:	 {x0 : 4.7206978548449685, x1 : -4.531570221121525, y: True} (verified)
Minimum counterfactual distance: 0.289985
