

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.086050 in range [0.000000, 0.172099]...	no solution exists.
	Iteration #003: testing norm threshold 0.129074 in range [0.086050, 0.172099]...	no solution exists.
	Iteration #004: testing norm threshold 0.150587 in range [0.129074, 0.172099]...	solution exists & found.
	Iteration #005: testing norm threshold 0.139831 in range [0.129074, 0.150587]...	no solution exists.
	Iteration #006: testing norm threshold 0.145209 in range [0.139831, 0.150587]...	solution exists & found.
	Iteration #007: testing norm threshold 0.142520 in range [0.139831, 0.145209]...	no solution exists.
	Iteration #008: testing norm threshold 0.143864 in range [0.142520, 0.145209]...	solution exists & found.
	Iteration #009: testing norm threshold 0.143192 in range [0.142520, 0.143864]...	solution exists & found.
	Iteration #010: testing norm threshold 0.142856 in range [0.142520, 0.143192]...	solution exists & found.
	Iteration #011: testing norm threshold 0.142688 in range [0.142520, 0.142856]...	no solution exists.
	Iteration #012: testing norm threshold 0.142772 in range [0.142688, 0.142856]...	solution exists & found.
	Iteration #013: testing norm threshold 0.142730 in range [0.142688, 0.142772]...	solution exists & found.
	Iteration #014: testing norm threshold 0.142709 in range [0.142688, 0.142730]...	solution exists & found.
	Iteration #015: testing norm threshold 0.142698 in range [0.142688, 0.142709]...	no solution exists.
	Iteration #016: testing norm threshold 0.142704 in range [0.142698, 0.142709]...	no solution exists.


Factual sample: 		 {x0 : -2.0365917090736856, x1 : -1.572135878489619, y: False}
Nearest counterfactual sample:	 {x0 : 1.365367069808428, x1 : -1.572135878489619, y: True} (verified)
Minimum counterfactual distance: 0.142709
