

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.102632 in range [0.000000, 0.205263]...	no solution exists.
	Iteration #003: testing norm threshold 0.153947 in range [0.102632, 0.205263]...	no solution exists.
	Iteration #004: testing norm threshold 0.179605 in range [0.153947, 0.205263]...	no solution exists.
	Iteration #005: testing norm threshold 0.192434 in range [0.179605, 0.205263]...	no solution exists.
	Iteration #006: testing norm threshold 0.198849 in range [0.192434, 0.205263]...	solution exists & found.
	Iteration #007: testing norm threshold 0.195641 in range [0.192434, 0.198849]...	solution exists & found.
	Iteration #008: testing norm threshold 0.194038 in range [0.192434, 0.195642]...	solution exists & found.
	Iteration #009: testing norm threshold 0.193236 in range [0.192434, 0.194038]...	solution exists & found.
	Iteration #010: testing norm threshold 0.192835 in range [0.192434, 0.193236]...	no solution exists.
	Iteration #011: testing norm threshold 0.193036 in range [0.192835, 0.193236]...	no solution exists.
	Iteration #012: testing norm threshold 0.193136 in range [0.193036, 0.193236]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193086 in range [0.193036, 0.193136]...	solution exists & found.
	Iteration #014: testing norm threshold 0.193061 in range [0.193036, 0.193086]...	solution exists & found.
	Iteration #015: testing norm threshold 0.193048 in range [0.193036, 0.193061]...	no solution exists.
	Iteration #016: testing norm threshold 0.193055 in range [0.193048, 0.193061]...	solution exists & found.


Factual sample: 		 {x0 : -3.929591347269812, x1 : -1.151433934645259, y: False}
Nearest counterfactual sample:	 {x0 : 0.7876414573046188, x1 : -1.151433934645259, y: True} (verified)
Minimum counterfactual distance: 0.193055
