

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


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 0.129344 in range [0.000000, 0.258688]...	no solution exists.
	Iteration #003: testing norm threshold 0.194016 in range [0.129344, 0.258688]...	no solution exists.
	Iteration #004: testing norm threshold 0.226352 in range [0.194016, 0.258688]...	solution exists & found.
	Iteration #005: testing norm threshold 0.207494 in range [0.194016, 0.220972]...	no solution exists.
	Iteration #006: testing norm threshold 0.214233 in range [0.207494, 0.220972]...	solution exists & found.
	Iteration #007: testing norm threshold 0.210864 in range [0.207494, 0.214233]...	solution exists & found.
	Iteration #008: testing norm threshold 0.209179 in range [0.207494, 0.210864]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208336 in range [0.207494, 0.209179]...	no solution exists.
	Iteration #010: testing norm threshold 0.208758 in range [0.208336, 0.209179]...	no solution exists.
	Iteration #011: testing norm threshold 0.208968 in range [0.208758, 0.209179]...	solution exists & found.
	Iteration #012: testing norm threshold 0.208863 in range [0.208758, 0.208968]...	solution exists & found.
	Iteration #013: testing norm threshold 0.208810 in range [0.208758, 0.208863]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208784 in range [0.208758, 0.208811]...	solution exists & found.
	Iteration #015: testing norm threshold 0.208771 in range [0.208758, 0.208784]...	solution exists & found.
	Iteration #016: testing norm threshold 0.208764 in range [0.208758, 0.208771]...	solution exists & found.


Factual sample: 		 {x0 : -2.910961053988776, x1 : -2.975297332715904, y: False}
Nearest counterfactual sample:	 {x0 : 2.1900702689250875, x1 : -2.9752363688742474, y: True} (verified)
Minimum counterfactual distance: 0.208764
