

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


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 0.215178 in range [0.000000, 0.430355]...	no solution exists.
	Iteration #003: testing norm threshold 0.322766 in range [0.215178, 0.430355]...	solution exists & found.
	Iteration #004: testing norm threshold 0.244067 in range [0.215178, 0.272956]...	no solution exists.
	Iteration #005: testing norm threshold 0.258512 in range [0.244067, 0.272956]...	no solution exists.
	Iteration #006: testing norm threshold 0.265734 in range [0.258512, 0.272956]...	solution exists & found.
	Iteration #007: testing norm threshold 0.262123 in range [0.258512, 0.265734]...	solution exists & found.
	Iteration #008: testing norm threshold 0.260317 in range [0.258512, 0.262123]...	no solution exists.
	Iteration #009: testing norm threshold 0.261220 in range [0.260317, 0.262123]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260769 in range [0.260317, 0.261220]...	solution exists & found.
	Iteration #011: testing norm threshold 0.260543 in range [0.260317, 0.260769]...	no solution exists.
	Iteration #012: testing norm threshold 0.260656 in range [0.260543, 0.260769]...	no solution exists.
	Iteration #013: testing norm threshold 0.260712 in range [0.260656, 0.260769]...	no solution exists.
	Iteration #014: testing norm threshold 0.260740 in range [0.260712, 0.260769]...	no solution exists.
	Iteration #015: testing norm threshold 0.260755 in range [0.260740, 0.260769]...	solution exists & found.
	Iteration #016: testing norm threshold 0.260748 in range [0.260740, 0.260755]...	solution exists & found.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.245337835383686, x1 : -4.347575490563977, y: True} (verified)
Minimum counterfactual distance: 0.260748
