

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


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 0.160663 in range [0.000000, 0.321327]...	no solution exists.
	Iteration #003: testing norm threshold 0.240995 in range [0.160663, 0.321327]...	no solution exists.
	Iteration #004: testing norm threshold 0.281161 in range [0.240995, 0.321327]...	no solution exists.
	Iteration #005: testing norm threshold 0.301244 in range [0.281161, 0.321327]...	solution exists & found.
	Iteration #006: testing norm threshold 0.291202 in range [0.281161, 0.301244]...	solution exists & found.
	Iteration #007: testing norm threshold 0.286182 in range [0.281161, 0.291202]...	no solution exists.
	Iteration #008: testing norm threshold 0.288692 in range [0.286182, 0.291202]...	no solution exists.
	Iteration #009: testing norm threshold 0.289947 in range [0.288692, 0.291202]...	no solution exists.
	Iteration #010: testing norm threshold 0.290575 in range [0.289947, 0.291202]...	no solution exists.
	Iteration #011: testing norm threshold 0.290889 in range [0.290575, 0.291202]...	no solution exists.
	Iteration #012: testing norm threshold 0.291046 in range [0.290889, 0.291202]...	no solution exists.
	Iteration #013: testing norm threshold 0.291124 in range [0.291046, 0.291202]...	solution exists & found.
	Iteration #014: testing norm threshold 0.291085 in range [0.291046, 0.291124]...	no solution exists.
	Iteration #015: testing norm threshold 0.291104 in range [0.291085, 0.291124]...	solution exists & found.
	Iteration #016: testing norm threshold 0.291095 in range [0.291085, 0.291105]...	solution exists & found.


Factual sample: 		 {x0 : -3.755342050144318, x1 : -3.5229511723094853, y: False}
Nearest counterfactual sample:	 {x0 : 3.6935963321036542, x1 : -3.522957569224522, y: True} (verified)
Minimum counterfactual distance: 0.291095
