

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


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 0.159577 in range [0.000000, 0.319154]...	no solution exists.
	Iteration #003: testing norm threshold 0.239365 in range [0.159577, 0.319154]...	solution exists & found.
	Iteration #004: testing norm threshold 0.194020 in range [0.159577, 0.228464]...	no solution exists.
	Iteration #005: testing norm threshold 0.211242 in range [0.194020, 0.228464]...	no solution exists.
	Iteration #006: testing norm threshold 0.219853 in range [0.211242, 0.228464]...	solution exists & found.
	Iteration #007: testing norm threshold 0.215548 in range [0.211242, 0.219853]...	no solution exists.
	Iteration #008: testing norm threshold 0.217701 in range [0.215548, 0.219853]...	solution exists & found.
	Iteration #009: testing norm threshold 0.216624 in range [0.215548, 0.217701]...	solution exists & found.
	Iteration #010: testing norm threshold 0.216086 in range [0.215548, 0.216624]...	no solution exists.
	Iteration #011: testing norm threshold 0.216355 in range [0.216086, 0.216624]...	solution exists & found.
	Iteration #012: testing norm threshold 0.216221 in range [0.216086, 0.216355]...	no solution exists.
	Iteration #013: testing norm threshold 0.216288 in range [0.216221, 0.216355]...	solution exists & found.
	Iteration #014: testing norm threshold 0.216254 in range [0.216221, 0.216288]...	no solution exists.
	Iteration #015: testing norm threshold 0.216271 in range [0.216254, 0.216288]...	solution exists & found.
	Iteration #016: testing norm threshold 0.216263 in range [0.216254, 0.216271]...	solution exists & found.


Factual sample: 		 {x0 : -2.8205223115406888, x1 : -3.3309797217095465, y: False}
Nearest counterfactual sample:	 {x0 : 2.463455864597585, x1 : -3.3306621259594276, y: True} (verified)
Minimum counterfactual distance: 0.216263
