

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


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 0.222087 in range [0.000000, 0.444174]...	no solution exists.
	Iteration #003: testing norm threshold 0.333130 in range [0.222087, 0.444174]...	solution exists & found.
	Iteration #004: testing norm threshold 0.277609 in range [0.222087, 0.333130]...	no solution exists.
	Iteration #005: testing norm threshold 0.305370 in range [0.277609, 0.333130]...	no solution exists.
	Iteration #006: testing norm threshold 0.319250 in range [0.305370, 0.333130]...	solution exists & found.
	Iteration #007: testing norm threshold 0.312310 in range [0.305370, 0.319250]...	solution exists & found.
	Iteration #008: testing norm threshold 0.308840 in range [0.305370, 0.312310]...	solution exists & found.
	Iteration #009: testing norm threshold 0.307105 in range [0.305370, 0.308840]...	solution exists & found.
	Iteration #010: testing norm threshold 0.306237 in range [0.305370, 0.307105]...	solution exists & found.
	Iteration #011: testing norm threshold 0.305803 in range [0.305370, 0.306237]...	solution exists & found.
	Iteration #012: testing norm threshold 0.305587 in range [0.305370, 0.305804]...	no solution exists.
	Iteration #013: testing norm threshold 0.305695 in range [0.305587, 0.305804]...	no solution exists.
	Iteration #014: testing norm threshold 0.305749 in range [0.305695, 0.305804]...	no solution exists.
	Iteration #015: testing norm threshold 0.305776 in range [0.305749, 0.305804]...	solution exists & found.
	Iteration #016: testing norm threshold 0.305763 in range [0.305749, 0.305776]...	solution exists & found.
	Iteration #017: testing norm threshold 0.305756 in range [0.305749, 0.305763]...	solution exists & found.


Factual sample: 		 {x0 : -3.259594610014061, x1 : -5.603804685481142, y: False}
Nearest counterfactual sample:	 {x0 : 4.211466317446761, x1 : -5.603804685481142, y: True} (verified)
Minimum counterfactual distance: 0.305756
