

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


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 0.095798 in range [0.000000, 0.191596]...	no solution exists.
	Iteration #003: testing norm threshold 0.143697 in range [0.095798, 0.191596]...	solution exists & found.
	Iteration #004: testing norm threshold 0.119748 in range [0.095798, 0.143697]...	no solution exists.
	Iteration #005: testing norm threshold 0.131722 in range [0.119748, 0.143697]...	no solution exists.
	Iteration #006: testing norm threshold 0.137710 in range [0.131722, 0.143697]...	no solution exists.
	Iteration #007: testing norm threshold 0.140704 in range [0.137710, 0.143697]...	no solution exists.
	Iteration #008: testing norm threshold 0.142200 in range [0.140704, 0.143697]...	solution exists & found.
	Iteration #009: testing norm threshold 0.141452 in range [0.140704, 0.142201]...	no solution exists.
	Iteration #010: testing norm threshold 0.141826 in range [0.141452, 0.142201]...	solution exists & found.
	Iteration #011: testing norm threshold 0.141639 in range [0.141452, 0.141826]...	no solution exists.
	Iteration #012: testing norm threshold 0.141733 in range [0.141639, 0.141826]...	solution exists & found.
	Iteration #013: testing norm threshold 0.141686 in range [0.141639, 0.141733]...	solution exists & found.
	Iteration #014: testing norm threshold 0.141663 in range [0.141639, 0.141686]...	no solution exists.
	Iteration #015: testing norm threshold 0.141674 in range [0.141663, 0.141686]...	solution exists & found.
	Iteration #016: testing norm threshold 0.141669 in range [0.141663, 0.141675]...	no solution exists.


Factual sample: 		 {x0 : -1.4284636147876617, x1 : -2.771293634994582, y: False}
Nearest counterfactual sample:	 {x0 : 2.0331670003453586, x1 : -2.7711612517609225, y: True} (verified)
Minimum counterfactual distance: 0.141674
