

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.188529 in range [0.000000, 0.377059]...	no solution exists.
	Iteration #003: testing norm threshold 0.282794 in range [0.188529, 0.377059]...	solution exists & found.
	Iteration #004: testing norm threshold 0.235662 in range [0.188529, 0.282794]...	no solution exists.
	Iteration #005: testing norm threshold 0.259228 in range [0.235662, 0.282794]...	solution exists & found.
	Iteration #006: testing norm threshold 0.247445 in range [0.235662, 0.259228]...	no solution exists.
	Iteration #007: testing norm threshold 0.253337 in range [0.247445, 0.259228]...	no solution exists.
	Iteration #008: testing norm threshold 0.256282 in range [0.253337, 0.259228]...	no solution exists.
	Iteration #009: testing norm threshold 0.257755 in range [0.256282, 0.259228]...	solution exists & found.
	Iteration #010: testing norm threshold 0.257019 in range [0.256282, 0.257755]...	no solution exists.
	Iteration #011: testing norm threshold 0.257387 in range [0.257019, 0.257755]...	no solution exists.
	Iteration #012: testing norm threshold 0.257571 in range [0.257387, 0.257755]...	no solution exists.
	Iteration #013: testing norm threshold 0.257663 in range [0.257571, 0.257755]...	no solution exists.
	Iteration #014: testing norm threshold 0.257709 in range [0.257663, 0.257755]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257686 in range [0.257663, 0.257709]...	no solution exists.
	Iteration #016: testing norm threshold 0.257698 in range [0.257686, 0.257709]...	no solution exists.
	Iteration #017: testing norm threshold 0.257704 in range [0.257698, 0.257709]...	no solution exists.


Factual sample: 		 {x0 : -3.911539229982616, x1 : -3.229314521944287, y: False}
Nearest counterfactual sample:	 {x0 : 2.385510408298126, x1 : -3.229314521944287, y: True} (verified)
Minimum counterfactual distance: 0.257709
