

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.124524 in range [0.000000, 0.249048]...	no solution exists.
	Iteration #003: testing norm threshold 0.186786 in range [0.124524, 0.249048]...	no solution exists.
	Iteration #004: testing norm threshold 0.217917 in range [0.186786, 0.249048]...	solution exists & found.
	Iteration #005: testing norm threshold 0.202351 in range [0.186786, 0.217917]...	solution exists & found.
	Iteration #006: testing norm threshold 0.194568 in range [0.186786, 0.202351]...	solution exists & found.
	Iteration #007: testing norm threshold 0.190677 in range [0.186786, 0.194569]...	no solution exists.
	Iteration #008: testing norm threshold 0.192623 in range [0.190677, 0.194569]...	no solution exists.
	Iteration #009: testing norm threshold 0.193596 in range [0.192623, 0.194569]...	no solution exists.
	Iteration #010: testing norm threshold 0.194082 in range [0.193596, 0.194569]...	solution exists & found.
	Iteration #011: testing norm threshold 0.193839 in range [0.193596, 0.194082]...	solution exists & found.
	Iteration #012: testing norm threshold 0.193717 in range [0.193596, 0.193839]...	no solution exists.
	Iteration #013: testing norm threshold 0.193778 in range [0.193717, 0.193839]...	solution exists & found.
	Iteration #014: testing norm threshold 0.193748 in range [0.193717, 0.193778]...	no solution exists.
	Iteration #015: testing norm threshold 0.193763 in range [0.193748, 0.193778]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193756 in range [0.193748, 0.193763]...	solution exists & found.


Factual sample: 		 {x0 : -3.3959320568657305, x1 : -1.4298070063506805, y: False}
Nearest counterfactual sample:	 {x0 : 1.5621506657968838, x1 : -1.4298158581922322, y: True} (verified)
Minimum counterfactual distance: 0.193756
