

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


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 0.165863 in range [0.000000, 0.331727]...	no solution exists.
	Iteration #003: testing norm threshold 0.248795 in range [0.165863, 0.331727]...	no solution exists.
	Iteration #004: testing norm threshold 0.290261 in range [0.248795, 0.331727]...	solution exists & found.
	Iteration #005: testing norm threshold 0.269528 in range [0.248795, 0.290261]...	no solution exists.
	Iteration #006: testing norm threshold 0.279895 in range [0.269528, 0.290261]...	no solution exists.
	Iteration #007: testing norm threshold 0.285078 in range [0.279895, 0.290261]...	solution exists & found.
	Iteration #008: testing norm threshold 0.282486 in range [0.279895, 0.285078]...	solution exists & found.
	Iteration #009: testing norm threshold 0.281191 in range [0.279895, 0.282486]...	solution exists & found.
	Iteration #010: testing norm threshold 0.280543 in range [0.279895, 0.281191]...	no solution exists.
	Iteration #011: testing norm threshold 0.280867 in range [0.280543, 0.281191]...	solution exists & found.
	Iteration #012: testing norm threshold 0.280705 in range [0.280543, 0.280867]...	no solution exists.
	Iteration #013: testing norm threshold 0.280786 in range [0.280705, 0.280867]...	no solution exists.
	Iteration #014: testing norm threshold 0.280826 in range [0.280786, 0.280867]...	solution exists & found.
	Iteration #015: testing norm threshold 0.280806 in range [0.280786, 0.280826]...	solution exists & found.
	Iteration #016: testing norm threshold 0.280796 in range [0.280786, 0.280806]...	solution exists & found.
	Iteration #017: testing norm threshold 0.280791 in range [0.280786, 0.280796]...	solution exists & found.


Factual sample: 		 {x0 : -4.083145260591804, x1 : -3.587717197932672, y: False}
Nearest counterfactual sample:	 {x0 : 2.7778792952329456, x1 : -3.5877330670706624, y: True} (verified)
Minimum counterfactual distance: 0.280791
