

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


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 0.127370 in range [0.000000, 0.254741]...	no solution exists.
	Iteration #003: testing norm threshold 0.191055 in range [0.127370, 0.254741]...	no solution exists.
	Iteration #004: testing norm threshold 0.222898 in range [0.191055, 0.254741]...	solution exists & found.
	Iteration #005: testing norm threshold 0.206977 in range [0.191055, 0.222898]...	no solution exists.
	Iteration #006: testing norm threshold 0.214937 in range [0.206977, 0.222898]...	no solution exists.
	Iteration #007: testing norm threshold 0.218918 in range [0.214937, 0.222898]...	solution exists & found.
	Iteration #008: testing norm threshold 0.216928 in range [0.214937, 0.218918]...	solution exists & found.
	Iteration #009: testing norm threshold 0.215933 in range [0.214937, 0.216928]...	no solution exists.
	Iteration #010: testing norm threshold 0.216430 in range [0.215933, 0.216928]...	no solution exists.
	Iteration #011: testing norm threshold 0.216679 in range [0.216430, 0.216928]...	no solution exists.
	Iteration #012: testing norm threshold 0.216803 in range [0.216679, 0.216928]...	solution exists & found.
	Iteration #013: testing norm threshold 0.216741 in range [0.216679, 0.216803]...	no solution exists.
	Iteration #014: testing norm threshold 0.216772 in range [0.216741, 0.216803]...	solution exists & found.
	Iteration #015: testing norm threshold 0.216757 in range [0.216741, 0.216772]...	no solution exists.
	Iteration #016: testing norm threshold 0.216765 in range [0.216757, 0.216772]...	no solution exists.


Factual sample: 		 {x0 : -2.935590974517148, x1 : -2.4601207368979026, y: False}
Nearest counterfactual sample:	 {x0 : 2.611488900851819, x1 : -2.4601207368979026, y: True} (verified)
Minimum counterfactual distance: 0.216772
