

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


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 0.147545 in range [0.000000, 0.295091]...	no solution exists.
	Iteration #003: testing norm threshold 0.221318 in range [0.147545, 0.295091]...	no solution exists.
	Iteration #004: testing norm threshold 0.258204 in range [0.221318, 0.295091]...	no solution exists.
	Iteration #005: testing norm threshold 0.276647 in range [0.258204, 0.295091]...	no solution exists.
	Iteration #006: testing norm threshold 0.285869 in range [0.276647, 0.295091]...	solution exists & found.
	Iteration #007: testing norm threshold 0.281258 in range [0.276647, 0.285869]...	no solution exists.
	Iteration #008: testing norm threshold 0.283564 in range [0.281258, 0.285869]...	solution exists & found.
	Iteration #009: testing norm threshold 0.282411 in range [0.281258, 0.283564]...	no solution exists.
	Iteration #010: testing norm threshold 0.282987 in range [0.282411, 0.283564]...	solution exists & found.
	Iteration #011: testing norm threshold 0.282699 in range [0.282411, 0.282987]...	no solution exists.
	Iteration #012: testing norm threshold 0.282843 in range [0.282699, 0.282987]...	no solution exists.
	Iteration #013: testing norm threshold 0.282915 in range [0.282843, 0.282987]...	solution exists & found.
	Iteration #014: testing norm threshold 0.282879 in range [0.282843, 0.282916]...	no solution exists.
	Iteration #015: testing norm threshold 0.282897 in range [0.282879, 0.282916]...	solution exists & found.
	Iteration #016: testing norm threshold 0.282889 in range [0.282879, 0.282898]...	solution exists & found.


Factual sample: 		 {x0 : -3.867287565312999, x1 : -4.086850454497316, y: False}
Nearest counterfactual sample:	 {x0 : 3.0450097881674885, x1 : -4.086850454497316, y: True} (verified)
Minimum counterfactual distance: 0.282889
