

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


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 0.114136 in range [0.000000, 0.228272]...	no solution exists.
	Iteration #003: testing norm threshold 0.171204 in range [0.114136, 0.228272]...	no solution exists.
	Iteration #004: testing norm threshold 0.199738 in range [0.171204, 0.228272]...	no solution exists.
	Iteration #005: testing norm threshold 0.214005 in range [0.199738, 0.228272]...	no solution exists.
	Iteration #006: testing norm threshold 0.221138 in range [0.214005, 0.228272]...	solution exists & found.
	Iteration #007: testing norm threshold 0.217571 in range [0.214005, 0.221138]...	solution exists & found.
	Iteration #008: testing norm threshold 0.215788 in range [0.214005, 0.217571]...	no solution exists.
	Iteration #009: testing norm threshold 0.216680 in range [0.215788, 0.217571]...	solution exists & found.
	Iteration #010: testing norm threshold 0.216234 in range [0.215788, 0.216680]...	solution exists & found.
	Iteration #011: testing norm threshold 0.216011 in range [0.215788, 0.216234]...	solution exists & found.
	Iteration #012: testing norm threshold 0.215900 in range [0.215788, 0.216011]...	solution exists & found.
	Iteration #013: testing norm threshold 0.215844 in range [0.215788, 0.215900]...	no solution exists.
	Iteration #014: testing norm threshold 0.215872 in range [0.215844, 0.215900]...	solution exists & found.
	Iteration #015: testing norm threshold 0.215858 in range [0.215844, 0.215872]...	no solution exists.
	Iteration #016: testing norm threshold 0.215865 in range [0.215858, 0.215872]...	solution exists & found.


Factual sample: 		 {x0 : -2.7364663080989016, x1 : -3.291193108584602, y: False}
Nearest counterfactual sample:	 {x0 : 2.538128134948739, x1 : -3.291193108584602, y: True} (verified)
Minimum counterfactual distance: 0.215865
