

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


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 0.120044 in range [0.000000, 0.240088]...	no solution exists.
	Iteration #003: testing norm threshold 0.180066 in range [0.120044, 0.240088]...	no solution exists.
	Iteration #004: testing norm threshold 0.210077 in range [0.180066, 0.240088]...	solution exists & found.
	Iteration #005: testing norm threshold 0.195071 in range [0.180066, 0.210077]...	solution exists & found.
	Iteration #006: testing norm threshold 0.187569 in range [0.180066, 0.195071]...	solution exists & found.
	Iteration #007: testing norm threshold 0.183817 in range [0.180066, 0.187569]...	no solution exists.
	Iteration #008: testing norm threshold 0.185693 in range [0.183817, 0.187569]...	solution exists & found.
	Iteration #009: testing norm threshold 0.184755 in range [0.183817, 0.185693]...	no solution exists.
	Iteration #010: testing norm threshold 0.185224 in range [0.184755, 0.185693]...	solution exists & found.
	Iteration #011: testing norm threshold 0.184990 in range [0.184755, 0.185224]...	solution exists & found.
	Iteration #012: testing norm threshold 0.184872 in range [0.184755, 0.184990]...	solution exists & found.
	Iteration #013: testing norm threshold 0.184814 in range [0.184755, 0.184873]...	solution exists & found.
	Iteration #014: testing norm threshold 0.184785 in range [0.184755, 0.184814]...	no solution exists.
	Iteration #015: testing norm threshold 0.184799 in range [0.184785, 0.184814]...	solution exists & found.
	Iteration #016: testing norm threshold 0.184792 in range [0.184785, 0.184799]...	no solution exists.


Factual sample: 		 {x0 : -1.8744924856871483, x1 : -2.6987467563266407, y: False}
Nearest counterfactual sample:	 {x0 : 2.8543677136973336, x1 : -2.698787915313759, y: True} (verified)
Minimum counterfactual distance: 0.184799
