

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


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 0.223281 in range [0.000000, 0.446562]...	no solution exists.
	Iteration #003: testing norm threshold 0.334922 in range [0.223281, 0.446562]...	solution exists & found.
	Iteration #004: testing norm threshold 0.279101 in range [0.223281, 0.334922]...	no solution exists.
	Iteration #005: testing norm threshold 0.307012 in range [0.279101, 0.334922]...	no solution exists.
	Iteration #006: testing norm threshold 0.320967 in range [0.307012, 0.334922]...	no solution exists.
	Iteration #007: testing norm threshold 0.327944 in range [0.320967, 0.334922]...	no solution exists.
	Iteration #008: testing norm threshold 0.331433 in range [0.327944, 0.334922]...	solution exists & found.
	Iteration #009: testing norm threshold 0.329689 in range [0.327944, 0.331433]...	solution exists & found.
	Iteration #010: testing norm threshold 0.328816 in range [0.327944, 0.329689]...	no solution exists.
	Iteration #011: testing norm threshold 0.329253 in range [0.328816, 0.329689]...	solution exists & found.
	Iteration #012: testing norm threshold 0.329035 in range [0.328816, 0.329253]...	no solution exists.
	Iteration #013: testing norm threshold 0.329144 in range [0.329035, 0.329253]...	solution exists & found.
	Iteration #014: testing norm threshold 0.329089 in range [0.329035, 0.329144]...	no solution exists.
	Iteration #015: testing norm threshold 0.329116 in range [0.329089, 0.329144]...	no solution exists.
	Iteration #016: testing norm threshold 0.329130 in range [0.329116, 0.329144]...	no solution exists.
	Iteration #017: testing norm threshold 0.329137 in range [0.329130, 0.329144]...	solution exists & found.


Factual sample: 		 {x0 : -4.617007524774767, x1 : -4.388253649033018, y: False}
Nearest counterfactual sample:	 {x0 : 3.425090698742254, x1 : -4.3880084093979725, y: True} (verified)
Minimum counterfactual distance: 0.329137
