

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


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 0.136478 in range [0.000000, 0.272956]...	no solution exists.
	Iteration #003: testing norm threshold 0.204717 in range [0.136478, 0.272956]...	no solution exists.
	Iteration #004: testing norm threshold 0.238837 in range [0.204717, 0.272956]...	no solution exists.
	Iteration #005: testing norm threshold 0.255896 in range [0.238837, 0.272956]...	no solution exists.
	Iteration #006: testing norm threshold 0.264426 in range [0.255896, 0.272956]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260161 in range [0.255896, 0.264426]...	no solution exists.
	Iteration #008: testing norm threshold 0.262294 in range [0.260161, 0.264426]...	solution exists & found.
	Iteration #009: testing norm threshold 0.261228 in range [0.260161, 0.262294]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260695 in range [0.260161, 0.261228]...	no solution exists.
	Iteration #011: testing norm threshold 0.260961 in range [0.260695, 0.261228]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260828 in range [0.260695, 0.260961]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260761 in range [0.260695, 0.260828]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260728 in range [0.260695, 0.260761]...	no solution exists.
	Iteration #015: testing norm threshold 0.260745 in range [0.260728, 0.260761]...	no solution exists.
	Iteration #016: testing norm threshold 0.260753 in range [0.260745, 0.260761]...	solution exists & found.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.2452090555687105, x1 : -4.347332003792304, y: True} (verified)
Minimum counterfactual distance: 0.260753
