

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


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 0.076592 in range [0.000000, 0.153183]...	no solution exists.
	Iteration #003: testing norm threshold 0.114888 in range [0.076592, 0.153183]...	no solution exists.
	Iteration #004: testing norm threshold 0.134035 in range [0.114888, 0.153183]...	no solution exists.
	Iteration #005: testing norm threshold 0.143609 in range [0.134035, 0.153183]...	solution exists & found.
	Iteration #006: testing norm threshold 0.138822 in range [0.134035, 0.143610]...	no solution exists.
	Iteration #007: testing norm threshold 0.141216 in range [0.138822, 0.143610]...	solution exists & found.
	Iteration #008: testing norm threshold 0.140019 in range [0.138822, 0.141216]...	no solution exists.
	Iteration #009: testing norm threshold 0.140618 in range [0.140019, 0.141216]...	no solution exists.
	Iteration #010: testing norm threshold 0.140917 in range [0.140618, 0.141216]...	no solution exists.
	Iteration #011: testing norm threshold 0.141067 in range [0.140917, 0.141216]...	solution exists & found.
	Iteration #012: testing norm threshold 0.140992 in range [0.140917, 0.141067]...	solution exists & found.
	Iteration #013: testing norm threshold 0.140954 in range [0.140917, 0.140992]...	no solution exists.
	Iteration #014: testing norm threshold 0.140973 in range [0.140954, 0.140992]...	no solution exists.
	Iteration #015: testing norm threshold 0.140982 in range [0.140973, 0.140992]...	solution exists & found.


Factual sample: 		 {x0 : -1.5927036090609372, x1 : -2.53556052933444, y: False}
Nearest counterfactual sample:	 {x0 : 1.85180591978925, x1 : -2.5352289561120607, y: True} (verified)
Minimum counterfactual distance: 0.140982
