

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.190654 in range [0.000000, 0.381307]...	no solution exists.
	Iteration #003: testing norm threshold 0.285980 in range [0.190654, 0.381307]...	solution exists & found.
	Iteration #004: testing norm threshold 0.238317 in range [0.190654, 0.285980]...	no solution exists.
	Iteration #005: testing norm threshold 0.262149 in range [0.238317, 0.285980]...	solution exists & found.
	Iteration #006: testing norm threshold 0.250233 in range [0.238317, 0.262149]...	no solution exists.
	Iteration #007: testing norm threshold 0.256191 in range [0.250233, 0.262149]...	no solution exists.
	Iteration #008: testing norm threshold 0.259170 in range [0.256191, 0.262149]...	no solution exists.
	Iteration #009: testing norm threshold 0.260659 in range [0.259170, 0.262149]...	no solution exists.
	Iteration #010: testing norm threshold 0.261404 in range [0.260659, 0.262149]...	solution exists & found.
	Iteration #011: testing norm threshold 0.261032 in range [0.260659, 0.261404]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260846 in range [0.260659, 0.261032]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260752 in range [0.260659, 0.260846]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260706 in range [0.260659, 0.260753]...	no solution exists.
	Iteration #015: testing norm threshold 0.260729 in range [0.260706, 0.260753]...	no solution exists.
	Iteration #016: testing norm threshold 0.260741 in range [0.260729, 0.260753]...	no solution exists.
	Iteration #017: testing norm threshold 0.260747 in range [0.260741, 0.260753]...	no solution exists.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.2452194744668614, x1 : -4.347354472025595, y: True} (verified)
Minimum counterfactual distance: 0.260752
