

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


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 0.155773 in range [0.000000, 0.311546]...	no solution exists.
	Iteration #003: testing norm threshold 0.233659 in range [0.155773, 0.311546]...	no solution exists.
	Iteration #004: testing norm threshold 0.272603 in range [0.233659, 0.311546]...	solution exists & found.
	Iteration #005: testing norm threshold 0.253131 in range [0.233659, 0.272603]...	no solution exists.
	Iteration #006: testing norm threshold 0.262867 in range [0.253131, 0.272603]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257999 in range [0.253131, 0.262867]...	no solution exists.
	Iteration #008: testing norm threshold 0.260433 in range [0.257999, 0.262867]...	no solution exists.
	Iteration #009: testing norm threshold 0.261650 in range [0.260433, 0.262867]...	solution exists & found.
	Iteration #010: testing norm threshold 0.261042 in range [0.260433, 0.261650]...	no solution exists.
	Iteration #011: testing norm threshold 0.261346 in range [0.261042, 0.261650]...	no solution exists.
	Iteration #012: testing norm threshold 0.261498 in range [0.261346, 0.261650]...	no solution exists.
	Iteration #013: testing norm threshold 0.261574 in range [0.261498, 0.261650]...	no solution exists.
	Iteration #014: testing norm threshold 0.261612 in range [0.261574, 0.261650]...	no solution exists.
	Iteration #015: testing norm threshold 0.261631 in range [0.261612, 0.261650]...	solution exists & found.
	Iteration #016: testing norm threshold 0.261622 in range [0.261612, 0.261631]...	solution exists & found.


Factual sample: 		 {x0 : -3.4510844928696773, x1 : -3.9525198877158494, y: False}
Nearest counterfactual sample:	 {x0 : 2.941524667734161, x1 : -3.9524845796966055, y: True} (verified)
Minimum counterfactual distance: 0.261622
