

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


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 0.115621 in range [0.000000, 0.231242]...	no solution exists.
	Iteration #003: testing norm threshold 0.173432 in range [0.115621, 0.231242]...	no solution exists.
	Iteration #004: testing norm threshold 0.202337 in range [0.173432, 0.231242]...	no solution exists.
	Iteration #005: testing norm threshold 0.216790 in range [0.202337, 0.231242]...	no solution exists.
	Iteration #006: testing norm threshold 0.224016 in range [0.216790, 0.231242]...	solution exists & found.
	Iteration #007: testing norm threshold 0.220403 in range [0.216790, 0.224016]...	solution exists & found.
	Iteration #008: testing norm threshold 0.218596 in range [0.216790, 0.220403]...	no solution exists.
	Iteration #009: testing norm threshold 0.219500 in range [0.218596, 0.220403]...	solution exists & found.
	Iteration #010: testing norm threshold 0.219048 in range [0.218596, 0.219500]...	solution exists & found.
	Iteration #011: testing norm threshold 0.218822 in range [0.218596, 0.219048]...	no solution exists.
	Iteration #012: testing norm threshold 0.218935 in range [0.218822, 0.219048]...	no solution exists.
	Iteration #013: testing norm threshold 0.218992 in range [0.218935, 0.219048]...	no solution exists.
	Iteration #014: testing norm threshold 0.219020 in range [0.218992, 0.219048]...	no solution exists.
	Iteration #015: testing norm threshold 0.219034 in range [0.219020, 0.219048]...	solution exists & found.
	Iteration #016: testing norm threshold 0.219027 in range [0.219020, 0.219034]...	no solution exists.


Factual sample: 		 {x0 : -2.9412472703956647, x1 : -3.2622619047275188, y: False}
Nearest counterfactual sample:	 {x0 : 2.410745565228829, x1 : -3.262226320674687, y: True} (verified)
Minimum counterfactual distance: 0.219034
