

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


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 0.158064 in range [0.000000, 0.316128]...	no solution exists.
	Iteration #003: testing norm threshold 0.237096 in range [0.158064, 0.316128]...	no solution exists.
	Iteration #004: testing norm threshold 0.276612 in range [0.237096, 0.316128]...	solution exists & found.
	Iteration #005: testing norm threshold 0.256854 in range [0.237096, 0.276612]...	no solution exists.
	Iteration #006: testing norm threshold 0.266733 in range [0.256854, 0.276612]...	solution exists & found.
	Iteration #007: testing norm threshold 0.261794 in range [0.256854, 0.266733]...	solution exists & found.
	Iteration #008: testing norm threshold 0.259324 in range [0.256854, 0.261794]...	no solution exists.
	Iteration #009: testing norm threshold 0.260559 in range [0.259324, 0.261794]...	no solution exists.
	Iteration #010: testing norm threshold 0.261176 in range [0.260559, 0.261794]...	solution exists & found.
	Iteration #011: testing norm threshold 0.260868 in range [0.260559, 0.261176]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260713 in range [0.260559, 0.260868]...	no solution exists.
	Iteration #013: testing norm threshold 0.260790 in range [0.260713, 0.260868]...	no solution exists.
	Iteration #014: testing norm threshold 0.260829 in range [0.260790, 0.260868]...	no solution exists.
	Iteration #015: testing norm threshold 0.260848 in range [0.260829, 0.260868]...	solution exists & found.
	Iteration #016: testing norm threshold 0.260839 in range [0.260829, 0.260848]...	solution exists & found.


Factual sample: 		 {x0 : -3.824629859946432, x1 : -2.694511803602242, y: False}
Nearest counterfactual sample:	 {x0 : 2.8500434603856486, x1 : -2.694546033064607, y: True} (verified)
Minimum counterfactual distance: 0.260839
