

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


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 0.136029 in range [0.000000, 0.272058]...	no solution exists.
	Iteration #003: testing norm threshold 0.204044 in range [0.136029, 0.272058]...	no solution exists.
	Iteration #004: testing norm threshold 0.238051 in range [0.204044, 0.272058]...	solution exists & found.
	Iteration #005: testing norm threshold 0.221047 in range [0.204044, 0.238051]...	solution exists & found.
	Iteration #006: testing norm threshold 0.212546 in range [0.204044, 0.221047]...	no solution exists.
	Iteration #007: testing norm threshold 0.216796 in range [0.212546, 0.221047]...	solution exists & found.
	Iteration #008: testing norm threshold 0.214671 in range [0.212546, 0.216797]...	no solution exists.
	Iteration #009: testing norm threshold 0.215734 in range [0.214671, 0.216797]...	no solution exists.
	Iteration #010: testing norm threshold 0.216265 in range [0.215734, 0.216797]...	no solution exists.
	Iteration #011: testing norm threshold 0.216531 in range [0.216265, 0.216797]...	no solution exists.
	Iteration #012: testing norm threshold 0.216664 in range [0.216531, 0.216797]...	no solution exists.
	Iteration #013: testing norm threshold 0.216730 in range [0.216664, 0.216797]...	no solution exists.
	Iteration #014: testing norm threshold 0.216763 in range [0.216730, 0.216797]...	no solution exists.
	Iteration #015: testing norm threshold 0.216780 in range [0.216763, 0.216797]...	solution exists & found.
	Iteration #016: testing norm threshold 0.216772 in range [0.216763, 0.216780]...	solution exists & found.


Factual sample: 		 {x0 : -2.935590974517148, x1 : -2.4601207368979026, y: False}
Nearest counterfactual sample:	 {x0 : 2.6114720044878976, x1 : -2.4601207368979026, y: True} (verified)
Minimum counterfactual distance: 0.216772
