

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


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 0.214677 in range [0.000000, 0.429355]...	no solution exists.
	Iteration #003: testing norm threshold 0.322016 in range [0.214677, 0.429355]...	solution exists & found.
	Iteration #004: testing norm threshold 0.268347 in range [0.214677, 0.322016]...	no solution exists.
	Iteration #005: testing norm threshold 0.295182 in range [0.268347, 0.322016]...	solution exists & found.
	Iteration #006: testing norm threshold 0.281764 in range [0.268347, 0.295182]...	solution exists & found.
	Iteration #007: testing norm threshold 0.275056 in range [0.268347, 0.281764]...	no solution exists.
	Iteration #008: testing norm threshold 0.278410 in range [0.275056, 0.281764]...	no solution exists.
	Iteration #009: testing norm threshold 0.280087 in range [0.278410, 0.281764]...	no solution exists.
	Iteration #010: testing norm threshold 0.280926 in range [0.280087, 0.281764]...	solution exists & found.
	Iteration #011: testing norm threshold 0.280507 in range [0.280087, 0.280926]...	no solution exists.
	Iteration #012: testing norm threshold 0.280716 in range [0.280507, 0.280926]...	no solution exists.
	Iteration #013: testing norm threshold 0.280821 in range [0.280716, 0.280926]...	solution exists & found.
	Iteration #014: testing norm threshold 0.280769 in range [0.280716, 0.280821]...	no solution exists.
	Iteration #015: testing norm threshold 0.280795 in range [0.280769, 0.280821]...	solution exists & found.
	Iteration #016: testing norm threshold 0.280782 in range [0.280769, 0.280795]...	no solution exists.
	Iteration #017: testing norm threshold 0.280788 in range [0.280782, 0.280795]...	no solution exists.


Factual sample: 		 {x0 : -4.083145260591804, x1 : -3.587717197932672, y: False}
Nearest counterfactual sample:	 {x0 : 2.777714500307812, x1 : -3.5874551293568064, y: True} (verified)
Minimum counterfactual distance: 0.280795
