

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


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 0.092040 in range [0.000000, 0.184079]...	no solution exists.
	Iteration #003: testing norm threshold 0.138059 in range [0.092040, 0.184079]...	no solution exists.
	Iteration #004: testing norm threshold 0.161069 in range [0.138059, 0.184079]...	no solution exists.
	Iteration #005: testing norm threshold 0.172574 in range [0.161069, 0.184079]...	solution exists & found.
	Iteration #006: testing norm threshold 0.166822 in range [0.161069, 0.172574]...	no solution exists.
	Iteration #007: testing norm threshold 0.169698 in range [0.166822, 0.172574]...	no solution exists.
	Iteration #008: testing norm threshold 0.171136 in range [0.169698, 0.172574]...	solution exists & found.
	Iteration #009: testing norm threshold 0.170417 in range [0.169698, 0.171136]...	no solution exists.
	Iteration #010: testing norm threshold 0.170777 in range [0.170417, 0.171136]...	solution exists & found.
	Iteration #011: testing norm threshold 0.170597 in range [0.170417, 0.170777]...	no solution exists.
	Iteration #012: testing norm threshold 0.170687 in range [0.170597, 0.170777]...	no solution exists.
	Iteration #013: testing norm threshold 0.170732 in range [0.170687, 0.170777]...	solution exists & found.
	Iteration #014: testing norm threshold 0.170709 in range [0.170687, 0.170732]...	solution exists & found.
	Iteration #015: testing norm threshold 0.170698 in range [0.170687, 0.170710]...	no solution exists.
	Iteration #016: testing norm threshold 0.170704 in range [0.170698, 0.170710]...	no solution exists.


Factual sample: 		 {x0 : -3.186256769886474, x1 : -1.0565427527376263, y: False}
Nearest counterfactual sample:	 {x0 : 1.1821003700590298, x1 : -1.0565427527376263, y: True} (verified)
Minimum counterfactual distance: 0.170709
