

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.214361 in range [0.000000, 0.428721]...	no solution exists.
	Iteration #003: testing norm threshold 0.321541 in range [0.214361, 0.428721]...	solution exists & found.
	Iteration #004: testing norm threshold 0.261932 in range [0.214361, 0.309502]...	solution exists & found.
	Iteration #005: testing norm threshold 0.238146 in range [0.214361, 0.261932]...	no solution exists.
	Iteration #006: testing norm threshold 0.250039 in range [0.238146, 0.261932]...	no solution exists.
	Iteration #007: testing norm threshold 0.255985 in range [0.250039, 0.261932]...	no solution exists.
	Iteration #008: testing norm threshold 0.258958 in range [0.255985, 0.261932]...	no solution exists.
	Iteration #009: testing norm threshold 0.260445 in range [0.258958, 0.261932]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259702 in range [0.258958, 0.260445]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259330 in range [0.258958, 0.259702]...	no solution exists.
	Iteration #012: testing norm threshold 0.259516 in range [0.259330, 0.259702]...	no solution exists.
	Iteration #013: testing norm threshold 0.259609 in range [0.259516, 0.259702]...	solution exists & found.
	Iteration #014: testing norm threshold 0.259563 in range [0.259516, 0.259609]...	no solution exists.
	Iteration #015: testing norm threshold 0.259586 in range [0.259563, 0.259609]...	solution exists & found.
	Iteration #016: testing norm threshold 0.259574 in range [0.259563, 0.259586]...	no solution exists.
	Iteration #017: testing norm threshold 0.259580 in range [0.259574, 0.259586]...	solution exists & found.


Factual sample: 		 {x0 : -3.214884173068361, x1 : -4.194757129393818, y: False}
Nearest counterfactual sample:	 {x0 : 3.127878333353819, x1 : -4.194757129393818, y: True} (verified)
Minimum counterfactual distance: 0.259580
