

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


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 0.181397 in range [0.000000, 0.362793]...	no solution exists.
	Iteration #003: testing norm threshold 0.272095 in range [0.181397, 0.362793]...	solution exists & found.
	Iteration #004: testing norm threshold 0.226746 in range [0.181397, 0.272095]...	no solution exists.
	Iteration #005: testing norm threshold 0.249420 in range [0.226746, 0.272095]...	no solution exists.
	Iteration #006: testing norm threshold 0.260758 in range [0.249420, 0.272095]...	solution exists & found.
	Iteration #007: testing norm threshold 0.255089 in range [0.249420, 0.260758]...	solution exists & found.
	Iteration #008: testing norm threshold 0.252255 in range [0.249420, 0.255089]...	solution exists & found.
	Iteration #009: testing norm threshold 0.250838 in range [0.249420, 0.252255]...	no solution exists.
	Iteration #010: testing norm threshold 0.251546 in range [0.250838, 0.252255]...	no solution exists.
	Iteration #011: testing norm threshold 0.251901 in range [0.251546, 0.252255]...	solution exists & found.
	Iteration #012: testing norm threshold 0.251724 in range [0.251546, 0.251901]...	solution exists & found.
	Iteration #013: testing norm threshold 0.251635 in range [0.251546, 0.251724]...	no solution exists.
	Iteration #014: testing norm threshold 0.251679 in range [0.251635, 0.251724]...	solution exists & found.
	Iteration #015: testing norm threshold 0.251657 in range [0.251635, 0.251679]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251646 in range [0.251635, 0.251657]...	solution exists & found.
	Iteration #017: testing norm threshold 0.251641 in range [0.251635, 0.251646]...	solution exists & found.


Factual sample: 		 {x0 : -4.592303794545908, x1 : -2.151149440241418, y: False}
Nearest counterfactual sample:	 {x0 : 1.5564610447156249, x1 : -2.151149440241418, y: True} (verified)
Minimum counterfactual distance: 0.251641
