

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


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 0.131998 in range [0.000000, 0.263996]...	no solution exists.
	Iteration #003: testing norm threshold 0.197997 in range [0.131998, 0.263996]...	no solution exists.
	Iteration #004: testing norm threshold 0.230997 in range [0.197997, 0.263996]...	no solution exists.
	Iteration #005: testing norm threshold 0.247497 in range [0.230997, 0.263996]...	no solution exists.
	Iteration #006: testing norm threshold 0.255747 in range [0.247497, 0.263996]...	solution exists & found.
	Iteration #007: testing norm threshold 0.251622 in range [0.247497, 0.255747]...	solution exists & found.
	Iteration #008: testing norm threshold 0.249559 in range [0.247497, 0.251622]...	no solution exists.
	Iteration #009: testing norm threshold 0.250590 in range [0.249559, 0.251622]...	no solution exists.
	Iteration #010: testing norm threshold 0.251106 in range [0.250590, 0.251622]...	solution exists & found.
	Iteration #011: testing norm threshold 0.250848 in range [0.250590, 0.251106]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250719 in range [0.250590, 0.250848]...	solution exists & found.
	Iteration #013: testing norm threshold 0.250655 in range [0.250590, 0.250720]...	solution exists & found.
	Iteration #014: testing norm threshold 0.250623 in range [0.250590, 0.250655]...	no solution exists.
	Iteration #015: testing norm threshold 0.250639 in range [0.250623, 0.250655]...	solution exists & found.
	Iteration #016: testing norm threshold 0.250631 in range [0.250623, 0.250639]...	solution exists & found.


Factual sample: 		 {x0 : -2.4906123667307227, x1 : -3.74796785208096, y: False}
Nearest counterfactual sample:	 {x0 : 3.922821124373762, x1 : -3.748027215740867, y: True} (verified)
Minimum counterfactual distance: 0.250631
