

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


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 0.102288 in range [0.000000, 0.204575]...	no solution exists.
	Iteration #003: testing norm threshold 0.153431 in range [0.102288, 0.204575]...	no solution exists.
	Iteration #004: testing norm threshold 0.179003 in range [0.153431, 0.204575]...	no solution exists.
	Iteration #005: testing norm threshold 0.191789 in range [0.179003, 0.204575]...	no solution exists.
	Iteration #006: testing norm threshold 0.198182 in range [0.191789, 0.204575]...	solution exists & found.
	Iteration #007: testing norm threshold 0.194986 in range [0.191789, 0.198182]...	solution exists & found.
	Iteration #008: testing norm threshold 0.193388 in range [0.191789, 0.194986]...	solution exists & found.
	Iteration #009: testing norm threshold 0.192588 in range [0.191789, 0.193388]...	solution exists & found.
	Iteration #010: testing norm threshold 0.192189 in range [0.191789, 0.192589]...	no solution exists.
	Iteration #011: testing norm threshold 0.192389 in range [0.192189, 0.192589]...	solution exists & found.
	Iteration #012: testing norm threshold 0.192289 in range [0.192189, 0.192389]...	no solution exists.
	Iteration #013: testing norm threshold 0.192339 in range [0.192289, 0.192389]...	no solution exists.
	Iteration #014: testing norm threshold 0.192364 in range [0.192339, 0.192389]...	no solution exists.
	Iteration #015: testing norm threshold 0.192376 in range [0.192364, 0.192389]...	solution exists & found.
	Iteration #016: testing norm threshold 0.192370 in range [0.192364, 0.192376]...	solution exists & found.


Factual sample: 		 {x0 : -2.674955742993338, x1 : -2.761180376993378, y: False}
Nearest counterfactual sample:	 {x0 : 2.0253752650091768, x1 : -2.7610154935466364, y: True} (verified)
Minimum counterfactual distance: 0.192370
