

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


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 0.071785 in range [0.000000, 0.143571]...	no solution exists.
	Iteration #003: testing norm threshold 0.107678 in range [0.071785, 0.143571]...	solution exists & found.
	Iteration #004: testing norm threshold 0.087280 in range [0.071785, 0.102774]...	no solution exists.
	Iteration #005: testing norm threshold 0.095027 in range [0.087280, 0.102774]...	solution exists & found.
	Iteration #006: testing norm threshold 0.091153 in range [0.087280, 0.095027]...	solution exists & found.
	Iteration #007: testing norm threshold 0.089217 in range [0.087280, 0.091154]...	no solution exists.
	Iteration #008: testing norm threshold 0.090185 in range [0.089217, 0.091154]...	no solution exists.
	Iteration #009: testing norm threshold 0.090669 in range [0.090185, 0.091154]...	solution exists & found.
	Iteration #010: testing norm threshold 0.090427 in range [0.090185, 0.090669]...	no solution exists.
	Iteration #011: testing norm threshold 0.090548 in range [0.090427, 0.090669]...	no solution exists.
	Iteration #012: testing norm threshold 0.090609 in range [0.090548, 0.090669]...	solution exists & found.
	Iteration #013: testing norm threshold 0.090579 in range [0.090548, 0.090609]...	solution exists & found.
	Iteration #014: testing norm threshold 0.090564 in range [0.090548, 0.090579]...	no solution exists.
	Iteration #015: testing norm threshold 0.090571 in range [0.090564, 0.090579]...	solution exists & found.


Factual sample: 		 {x0 : -0.6492781248013051, x1 : -2.1606285198167887, y: False}
Nearest counterfactual sample:	 {x0 : 1.5637368387321517, x1 : -2.1606899583490105, y: True} (verified)
Minimum counterfactual distance: 0.090571
