

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


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 0.122068 in range [0.000000, 0.244136]...	no solution exists.
	Iteration #003: testing norm threshold 0.183102 in range [0.122068, 0.244136]...	no solution exists.
	Iteration #004: testing norm threshold 0.213619 in range [0.183102, 0.244136]...	no solution exists.
	Iteration #005: testing norm threshold 0.228878 in range [0.213619, 0.244136]...	no solution exists.
	Iteration #006: testing norm threshold 0.236507 in range [0.228878, 0.244136]...	solution exists & found.
	Iteration #007: testing norm threshold 0.232692 in range [0.228878, 0.236507]...	solution exists & found.
	Iteration #008: testing norm threshold 0.230785 in range [0.228878, 0.232692]...	solution exists & found.
	Iteration #009: testing norm threshold 0.229831 in range [0.228878, 0.230785]...	no solution exists.
	Iteration #010: testing norm threshold 0.230308 in range [0.229831, 0.230785]...	no solution exists.
	Iteration #011: testing norm threshold 0.230547 in range [0.230308, 0.230785]...	no solution exists.
	Iteration #012: testing norm threshold 0.230666 in range [0.230547, 0.230785]...	no solution exists.
	Iteration #013: testing norm threshold 0.230726 in range [0.230666, 0.230785]...	no solution exists.
	Iteration #014: testing norm threshold 0.230755 in range [0.230726, 0.230785]...	no solution exists.
	Iteration #015: testing norm threshold 0.230770 in range [0.230755, 0.230785]...	solution exists & found.
	Iteration #016: testing norm threshold 0.230763 in range [0.230755, 0.230770]...	no solution exists.


Factual sample: 		 {x0 : -2.726414816161069, x1 : -3.017324990945621, y: False}
Nearest counterfactual sample:	 {x0 : 3.17804937227195, x1 : -3.0166029486545964, y: True} (verified)
Minimum counterfactual distance: 0.230770
