

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.154434 in range [0.000000, 0.308869]...	no solution exists.
	Iteration #003: testing norm threshold 0.231652 in range [0.154434, 0.308869]...	solution exists & found.
	Iteration #004: testing norm threshold 0.187768 in range [0.154434, 0.221102]...	no solution exists.
	Iteration #005: testing norm threshold 0.204435 in range [0.187768, 0.221102]...	no solution exists.
	Iteration #006: testing norm threshold 0.212768 in range [0.204435, 0.221102]...	solution exists & found.
	Iteration #007: testing norm threshold 0.208602 in range [0.204435, 0.212768]...	no solution exists.
	Iteration #008: testing norm threshold 0.210685 in range [0.208602, 0.212768]...	solution exists & found.
	Iteration #009: testing norm threshold 0.209643 in range [0.208602, 0.210685]...	solution exists & found.
	Iteration #010: testing norm threshold 0.209123 in range [0.208602, 0.209643]...	solution exists & found.
	Iteration #011: testing norm threshold 0.208862 in range [0.208602, 0.209123]...	no solution exists.
	Iteration #012: testing norm threshold 0.208992 in range [0.208862, 0.209123]...	solution exists & found.
	Iteration #013: testing norm threshold 0.208927 in range [0.208862, 0.208993]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208895 in range [0.208862, 0.208927]...	solution exists & found.
	Iteration #015: testing norm threshold 0.208879 in range [0.208862, 0.208895]...	no solution exists.
	Iteration #016: testing norm threshold 0.208887 in range [0.208879, 0.208895]...	no solution exists.


Factual sample: 		 {x0 : -3.7251591587502872, x1 : -1.920583035112302, y: False}
Nearest counterfactual sample:	 {x0 : 1.3790991348406847, x1 : -1.9206056957757145, y: True} (verified)
Minimum counterfactual distance: 0.208895
