

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


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 0.147598 in range [0.000000, 0.295196]...	no solution exists.
	Iteration #003: testing norm threshold 0.221397 in range [0.147598, 0.295196]...	no solution exists.
	Iteration #004: testing norm threshold 0.258296 in range [0.221397, 0.295196]...	no solution exists.
	Iteration #005: testing norm threshold 0.276746 in range [0.258296, 0.295196]...	no solution exists.
	Iteration #006: testing norm threshold 0.285971 in range [0.276746, 0.295196]...	solution exists & found.
	Iteration #007: testing norm threshold 0.281358 in range [0.276746, 0.285971]...	no solution exists.
	Iteration #008: testing norm threshold 0.283665 in range [0.281358, 0.285971]...	solution exists & found.
	Iteration #009: testing norm threshold 0.282512 in range [0.281358, 0.283665]...	no solution exists.
	Iteration #010: testing norm threshold 0.283088 in range [0.282512, 0.283665]...	solution exists & found.
	Iteration #011: testing norm threshold 0.282800 in range [0.282512, 0.283088]...	solution exists & found.
	Iteration #012: testing norm threshold 0.282656 in range [0.282512, 0.282800]...	no solution exists.
	Iteration #013: testing norm threshold 0.282728 in range [0.282656, 0.282800]...	no solution exists.
	Iteration #014: testing norm threshold 0.282764 in range [0.282728, 0.282800]...	no solution exists.
	Iteration #015: testing norm threshold 0.282782 in range [0.282764, 0.282800]...	no solution exists.
	Iteration #016: testing norm threshold 0.282791 in range [0.282782, 0.282800]...	solution exists & found.


Factual sample: 		 {x0 : -4.22394926353972, x1 : -3.473945649911957, y: False}
Nearest counterfactual sample:	 {x0 : 2.685963984619681, x1 : -3.473945649911957, y: True} (verified)
Minimum counterfactual distance: 0.282791
