

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


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 0.125670 in range [0.000000, 0.251341]...	no solution exists.
	Iteration #003: testing norm threshold 0.188505 in range [0.125670, 0.251341]...	solution exists & found.
	Iteration #004: testing norm threshold 0.157088 in range [0.125670, 0.188506]...	no solution exists.
	Iteration #005: testing norm threshold 0.172797 in range [0.157088, 0.188506]...	no solution exists.
	Iteration #006: testing norm threshold 0.180651 in range [0.172797, 0.188506]...	solution exists & found.
	Iteration #007: testing norm threshold 0.176724 in range [0.172797, 0.180651]...	no solution exists.
	Iteration #008: testing norm threshold 0.178688 in range [0.176724, 0.180651]...	solution exists & found.
	Iteration #009: testing norm threshold 0.177706 in range [0.176724, 0.178688]...	solution exists & found.
	Iteration #010: testing norm threshold 0.177215 in range [0.176724, 0.177706]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176970 in range [0.176724, 0.177215]...	solution exists & found.
	Iteration #012: testing norm threshold 0.176847 in range [0.176724, 0.176970]...	solution exists & found.
	Iteration #013: testing norm threshold 0.176785 in range [0.176724, 0.176847]...	no solution exists.
	Iteration #014: testing norm threshold 0.176816 in range [0.176785, 0.176847]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176801 in range [0.176785, 0.176816]...	no solution exists.
	Iteration #016: testing norm threshold 0.176809 in range [0.176801, 0.176816]...	solution exists & found.


Factual sample: 		 {x0 : -2.77359379000678, x1 : -2.06504632964145, y: False}
Nearest counterfactual sample:	 {x0 : 1.5463718551890153, x1 : -2.0647665268320625, y: True} (verified)
Minimum counterfactual distance: 0.176809
