

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


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 0.144544 in range [0.000000, 0.289089]...	no solution exists.
	Iteration #003: testing norm threshold 0.216817 in range [0.144544, 0.289089]...	no solution exists.
	Iteration #004: testing norm threshold 0.252953 in range [0.216817, 0.289089]...	solution exists & found.
	Iteration #005: testing norm threshold 0.231992 in range [0.216817, 0.247168]...	no solution exists.
	Iteration #006: testing norm threshold 0.239580 in range [0.231992, 0.247168]...	solution exists & found.
	Iteration #007: testing norm threshold 0.235786 in range [0.231992, 0.239580]...	solution exists & found.
	Iteration #008: testing norm threshold 0.233889 in range [0.231992, 0.235786]...	solution exists & found.
	Iteration #009: testing norm threshold 0.232941 in range [0.231992, 0.233889]...	no solution exists.
	Iteration #010: testing norm threshold 0.233415 in range [0.232941, 0.233889]...	no solution exists.
	Iteration #011: testing norm threshold 0.233652 in range [0.233415, 0.233889]...	no solution exists.
	Iteration #012: testing norm threshold 0.233771 in range [0.233652, 0.233889]...	no solution exists.
	Iteration #013: testing norm threshold 0.233830 in range [0.233771, 0.233889]...	solution exists & found.
	Iteration #014: testing norm threshold 0.233801 in range [0.233771, 0.233830]...	solution exists & found.
	Iteration #015: testing norm threshold 0.233786 in range [0.233771, 0.233801]...	no solution exists.
	Iteration #016: testing norm threshold 0.233793 in range [0.233786, 0.233801]...	no solution exists.


Factual sample: 		 {x0 : -3.191615022779932, x1 : -2.636673069086303, y: False}
Nearest counterfactual sample:	 {x0 : 2.791207527230276, x1 : -2.636673069086303, y: True} (verified)
Minimum counterfactual distance: 0.233801
