

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


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 0.185379 in range [0.000000, 0.370759]...	no solution exists.
	Iteration #003: testing norm threshold 0.278069 in range [0.185379, 0.370759]...	solution exists & found.
	Iteration #004: testing norm threshold 0.231724 in range [0.185379, 0.278069]...	no solution exists.
	Iteration #005: testing norm threshold 0.254897 in range [0.231724, 0.278069]...	no solution exists.
	Iteration #006: testing norm threshold 0.266483 in range [0.254897, 0.278069]...	no solution exists.
	Iteration #007: testing norm threshold 0.272276 in range [0.266483, 0.278069]...	solution exists & found.
	Iteration #008: testing norm threshold 0.269380 in range [0.266483, 0.272276]...	solution exists & found.
	Iteration #009: testing norm threshold 0.267931 in range [0.266483, 0.269380]...	solution exists & found.
	Iteration #010: testing norm threshold 0.267207 in range [0.266483, 0.267932]...	solution exists & found.
	Iteration #011: testing norm threshold 0.266845 in range [0.266483, 0.267207]...	solution exists & found.
	Iteration #012: testing norm threshold 0.266664 in range [0.266483, 0.266845]...	no solution exists.
	Iteration #013: testing norm threshold 0.266755 in range [0.266664, 0.266845]...	solution exists & found.
	Iteration #014: testing norm threshold 0.266710 in range [0.266664, 0.266755]...	solution exists & found.
	Iteration #015: testing norm threshold 0.266687 in range [0.266664, 0.266710]...	no solution exists.
	Iteration #016: testing norm threshold 0.266698 in range [0.266687, 0.266710]...	no solution exists.
	Iteration #017: testing norm threshold 0.266704 in range [0.266698, 0.266710]...	solution exists & found.


Factual sample: 		 {x0 : -2.7941115759458124, x1 : -4.756074138657808, y: False}
Nearest counterfactual sample:	 {x0 : 3.722613230929836, x1 : -4.755973250110319, y: True} (verified)
Minimum counterfactual distance: 0.266704
