

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


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 0.200539 in range [0.000000, 0.401077]...	no solution exists.
	Iteration #003: testing norm threshold 0.300808 in range [0.200539, 0.401077]...	solution exists & found.
	Iteration #004: testing norm threshold 0.246354 in range [0.200539, 0.292169]...	no solution exists.
	Iteration #005: testing norm threshold 0.269261 in range [0.246354, 0.292169]...	no solution exists.
	Iteration #006: testing norm threshold 0.280715 in range [0.269261, 0.292169]...	solution exists & found.
	Iteration #007: testing norm threshold 0.274988 in range [0.269261, 0.280715]...	no solution exists.
	Iteration #008: testing norm threshold 0.277851 in range [0.274988, 0.280715]...	no solution exists.
	Iteration #009: testing norm threshold 0.279283 in range [0.277851, 0.280715]...	no solution exists.
	Iteration #010: testing norm threshold 0.279999 in range [0.279283, 0.280715]...	solution exists & found.
	Iteration #011: testing norm threshold 0.279641 in range [0.279283, 0.279999]...	no solution exists.
	Iteration #012: testing norm threshold 0.279820 in range [0.279641, 0.279999]...	no solution exists.
	Iteration #013: testing norm threshold 0.279910 in range [0.279820, 0.279999]...	no solution exists.
	Iteration #014: testing norm threshold 0.279954 in range [0.279910, 0.279999]...	no solution exists.
	Iteration #015: testing norm threshold 0.279977 in range [0.279954, 0.279999]...	solution exists & found.
	Iteration #016: testing norm threshold 0.279966 in range [0.279954, 0.279977]...	solution exists & found.
	Iteration #017: testing norm threshold 0.279960 in range [0.279954, 0.279966]...	solution exists & found.


Factual sample: 		 {x0 : -4.671187190372869, x1 : -2.948559419184797, y: False}
Nearest counterfactual sample:	 {x0 : 2.1695553462678694, x1 : -2.948559419184797, y: True} (verified)
Minimum counterfactual distance: 0.279960
