

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


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 0.190035 in range [0.000000, 0.380069]...	no solution exists.
	Iteration #003: testing norm threshold 0.285052 in range [0.190035, 0.380069]...	no solution exists.
	Iteration #004: testing norm threshold 0.332561 in range [0.285052, 0.380069]...	solution exists & found.
	Iteration #005: testing norm threshold 0.308806 in range [0.285052, 0.332561]...	no solution exists.
	Iteration #006: testing norm threshold 0.320683 in range [0.308806, 0.332561]...	no solution exists.
	Iteration #007: testing norm threshold 0.326622 in range [0.320683, 0.332561]...	no solution exists.
	Iteration #008: testing norm threshold 0.329591 in range [0.326622, 0.332561]...	solution exists & found.
	Iteration #009: testing norm threshold 0.328107 in range [0.326622, 0.329591]...	no solution exists.
	Iteration #010: testing norm threshold 0.328849 in range [0.328107, 0.329591]...	no solution exists.
	Iteration #011: testing norm threshold 0.329220 in range [0.328849, 0.329591]...	solution exists & found.
	Iteration #012: testing norm threshold 0.329035 in range [0.328849, 0.329220]...	no solution exists.
	Iteration #013: testing norm threshold 0.329128 in range [0.329035, 0.329220]...	no solution exists.
	Iteration #014: testing norm threshold 0.329174 in range [0.329128, 0.329220]...	solution exists & found.
	Iteration #015: testing norm threshold 0.329151 in range [0.329128, 0.329174]...	solution exists & found.
	Iteration #016: testing norm threshold 0.329139 in range [0.329128, 0.329151]...	solution exists & found.
	Iteration #017: testing norm threshold 0.329133 in range [0.329128, 0.329139]...	solution exists & found.


Factual sample: 		 {x0 : -4.617007524774767, x1 : -4.388253649033018, y: False}
Nearest counterfactual sample:	 {x0 : 3.4251763221314913, x1 : -4.388166055949301, y: True} (verified)
Minimum counterfactual distance: 0.329133
