

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


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 0.093046 in range [0.000000, 0.186091]...	no solution exists.
	Iteration #003: testing norm threshold 0.139568 in range [0.093046, 0.186091]...	no solution exists.
	Iteration #004: testing norm threshold 0.162830 in range [0.139568, 0.186091]...	solution exists & found.
	Iteration #005: testing norm threshold 0.151199 in range [0.139568, 0.162830]...	no solution exists.
	Iteration #006: testing norm threshold 0.157014 in range [0.151199, 0.162830]...	solution exists & found.
	Iteration #007: testing norm threshold 0.154107 in range [0.151199, 0.157015]...	no solution exists.
	Iteration #008: testing norm threshold 0.155561 in range [0.154107, 0.157015]...	solution exists & found.
	Iteration #009: testing norm threshold 0.154834 in range [0.154107, 0.155561]...	solution exists & found.
	Iteration #010: testing norm threshold 0.154470 in range [0.154107, 0.154834]...	no solution exists.
	Iteration #011: testing norm threshold 0.154652 in range [0.154470, 0.154834]...	no solution exists.
	Iteration #012: testing norm threshold 0.154743 in range [0.154652, 0.154834]...	no solution exists.
	Iteration #013: testing norm threshold 0.154788 in range [0.154743, 0.154834]...	solution exists & found.
	Iteration #014: testing norm threshold 0.154766 in range [0.154743, 0.154789]...	solution exists & found.
	Iteration #015: testing norm threshold 0.154754 in range [0.154743, 0.154766]...	solution exists & found.
	Iteration #016: testing norm threshold 0.154749 in range [0.154743, 0.154755]...	solution exists & found.


Factual sample: 		 {x0 : -2.07937260663126, x1 : -1.7424385184062203, y: False}
Nearest counterfactual sample:	 {x0 : 1.8801890938490262, x1 : -1.7421093700683226, y: True} (verified)
Minimum counterfactual distance: 0.154749
