

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


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 0.168995 in range [0.000000, 0.337991]...	no solution exists.
	Iteration #003: testing norm threshold 0.253493 in range [0.168995, 0.337991]...	solution exists & found.
	Iteration #004: testing norm threshold 0.211244 in range [0.168995, 0.253493]...	no solution exists.
	Iteration #005: testing norm threshold 0.232369 in range [0.211244, 0.253493]...	solution exists & found.
	Iteration #006: testing norm threshold 0.221806 in range [0.211244, 0.232369]...	no solution exists.
	Iteration #007: testing norm threshold 0.227088 in range [0.221806, 0.232369]...	no solution exists.
	Iteration #008: testing norm threshold 0.229728 in range [0.227088, 0.232369]...	no solution exists.
	Iteration #009: testing norm threshold 0.231048 in range [0.229728, 0.232369]...	solution exists & found.
	Iteration #010: testing norm threshold 0.230388 in range [0.229728, 0.231048]...	solution exists & found.
	Iteration #011: testing norm threshold 0.230058 in range [0.229728, 0.230388]...	solution exists & found.
	Iteration #012: testing norm threshold 0.229893 in range [0.229728, 0.230058]...	solution exists & found.
	Iteration #013: testing norm threshold 0.229811 in range [0.229728, 0.229893]...	solution exists & found.
	Iteration #014: testing norm threshold 0.229769 in range [0.229728, 0.229811]...	solution exists & found.
	Iteration #015: testing norm threshold 0.229749 in range [0.229728, 0.229770]...	solution exists & found.
	Iteration #016: testing norm threshold 0.229739 in range [0.229728, 0.229749]...	no solution exists.
	Iteration #017: testing norm threshold 0.229744 in range [0.229739, 0.229749]...	solution exists & found.


Factual sample: 		 {x0 : -3.788184610015844, x1 : -2.501050035020989, y: False}
Nearest counterfactual sample:	 {x0 : 1.82553541106507, x1 : -2.501050035020989, y: True} (verified)
Minimum counterfactual distance: 0.229744
