

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


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 0.124639 in range [0.000000, 0.249277]...	no solution exists.
	Iteration #003: testing norm threshold 0.186958 in range [0.124639, 0.249277]...	no solution exists.
	Iteration #004: testing norm threshold 0.218118 in range [0.186958, 0.249277]...	solution exists & found.
	Iteration #005: testing norm threshold 0.202538 in range [0.186958, 0.218118]...	no solution exists.
	Iteration #006: testing norm threshold 0.210328 in range [0.202538, 0.218118]...	no solution exists.
	Iteration #007: testing norm threshold 0.214223 in range [0.210328, 0.218118]...	solution exists & found.
	Iteration #008: testing norm threshold 0.212275 in range [0.210328, 0.214223]...	solution exists & found.
	Iteration #009: testing norm threshold 0.211302 in range [0.210328, 0.212275]...	no solution exists.
	Iteration #010: testing norm threshold 0.211788 in range [0.211302, 0.212275]...	no solution exists.
	Iteration #011: testing norm threshold 0.212032 in range [0.211788, 0.212275]...	solution exists & found.
	Iteration #012: testing norm threshold 0.211910 in range [0.211788, 0.212032]...	solution exists & found.
	Iteration #013: testing norm threshold 0.211849 in range [0.211788, 0.211910]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211819 in range [0.211788, 0.211849]...	no solution exists.
	Iteration #015: testing norm threshold 0.211834 in range [0.211819, 0.211849]...	solution exists & found.
	Iteration #016: testing norm threshold 0.211827 in range [0.211819, 0.211834]...	no solution exists.


Factual sample: 		 {x0 : -3.163246062642267, x1 : -2.112523185363332, y: False}
Nearest counterfactual sample:	 {x0 : 2.2568328812734832, x1 : -2.111959132409781, y: True} (verified)
Minimum counterfactual distance: 0.211834
