

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


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 0.175434 in range [0.000000, 0.350868]...	no solution exists.
	Iteration #003: testing norm threshold 0.263151 in range [0.175434, 0.350868]...	solution exists & found.
	Iteration #004: testing norm threshold 0.219292 in range [0.175434, 0.263151]...	no solution exists.
	Iteration #005: testing norm threshold 0.241222 in range [0.219292, 0.263151]...	no solution exists.
	Iteration #006: testing norm threshold 0.252186 in range [0.241222, 0.263151]...	solution exists & found.
	Iteration #007: testing norm threshold 0.246704 in range [0.241222, 0.252186]...	no solution exists.
	Iteration #008: testing norm threshold 0.249445 in range [0.246704, 0.252186]...	no solution exists.
	Iteration #009: testing norm threshold 0.250816 in range [0.249445, 0.252186]...	no solution exists.
	Iteration #010: testing norm threshold 0.251501 in range [0.250816, 0.252186]...	no solution exists.
	Iteration #011: testing norm threshold 0.251844 in range [0.251501, 0.252186]...	solution exists & found.
	Iteration #012: testing norm threshold 0.251672 in range [0.251501, 0.251844]...	no solution exists.
	Iteration #013: testing norm threshold 0.251758 in range [0.251672, 0.251844]...	solution exists & found.
	Iteration #014: testing norm threshold 0.251715 in range [0.251672, 0.251758]...	no solution exists.
	Iteration #015: testing norm threshold 0.251737 in range [0.251715, 0.251758]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251726 in range [0.251715, 0.251737]...	no solution exists.
	Iteration #017: testing norm threshold 0.251731 in range [0.251726, 0.251737]...	solution exists & found.


Factual sample: 		 {x0 : -3.209982731051446, x1 : -3.7893400497136778, y: False}
Nearest counterfactual sample:	 {x0 : 2.9410009714290903, x1 : -3.7893400497136778, y: True} (verified)
Minimum counterfactual distance: 0.251731
