

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


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 0.087469 in range [0.000000, 0.174937]...	no solution exists.
	Iteration #003: testing norm threshold 0.131203 in range [0.087469, 0.174937]...	solution exists & found.
	Iteration #004: testing norm threshold 0.109336 in range [0.087469, 0.131203]...	no solution exists.
	Iteration #005: testing norm threshold 0.120270 in range [0.109336, 0.131203]...	solution exists & found.
	Iteration #006: testing norm threshold 0.114803 in range [0.109336, 0.120270]...	no solution exists.
	Iteration #007: testing norm threshold 0.117536 in range [0.114803, 0.120270]...	no solution exists.
	Iteration #008: testing norm threshold 0.118903 in range [0.117536, 0.120270]...	no solution exists.
	Iteration #009: testing norm threshold 0.119586 in range [0.118903, 0.120270]...	no solution exists.
	Iteration #010: testing norm threshold 0.119928 in range [0.119586, 0.120270]...	solution exists & found.
	Iteration #011: testing norm threshold 0.119757 in range [0.119586, 0.119928]...	solution exists & found.
	Iteration #012: testing norm threshold 0.119672 in range [0.119586, 0.119757]...	solution exists & found.
	Iteration #013: testing norm threshold 0.119629 in range [0.119586, 0.119672]...	no solution exists.
	Iteration #014: testing norm threshold 0.119650 in range [0.119629, 0.119672]...	solution exists & found.
	Iteration #015: testing norm threshold 0.119640 in range [0.119629, 0.119651]...	no solution exists.
	Iteration #016: testing norm threshold 0.119645 in range [0.119640, 0.119651]...	solution exists & found.


Factual sample: 		 {x0 : -1.8225011218705027, x1 : -1.1126061632998618, y: False}
Nearest counterfactual sample:	 {x0 : 1.2390435707776044, x1 : -1.1125113444018389, y: True} (verified)
Minimum counterfactual distance: 0.119645
