

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


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 0.109353 in range [0.000000, 0.218705]...	no solution exists.
	Iteration #003: testing norm threshold 0.164029 in range [0.109353, 0.218705]...	no solution exists.
	Iteration #004: testing norm threshold 0.191367 in range [0.164029, 0.218705]...	no solution exists.
	Iteration #005: testing norm threshold 0.205036 in range [0.191367, 0.218705]...	no solution exists.
	Iteration #006: testing norm threshold 0.211871 in range [0.205036, 0.218705]...	solution exists & found.
	Iteration #007: testing norm threshold 0.208454 in range [0.205036, 0.211871]...	solution exists & found.
	Iteration #008: testing norm threshold 0.206745 in range [0.205036, 0.208454]...	solution exists & found.
	Iteration #009: testing norm threshold 0.205891 in range [0.205036, 0.206745]...	no solution exists.
	Iteration #010: testing norm threshold 0.206318 in range [0.205891, 0.206745]...	no solution exists.
	Iteration #011: testing norm threshold 0.206531 in range [0.206318, 0.206745]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206425 in range [0.206318, 0.206532]...	no solution exists.
	Iteration #013: testing norm threshold 0.206478 in range [0.206425, 0.206532]...	no solution exists.
	Iteration #014: testing norm threshold 0.206505 in range [0.206478, 0.206532]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206492 in range [0.206478, 0.206505]...	no solution exists.
	Iteration #016: testing norm threshold 0.206498 in range [0.206492, 0.206505]...	solution exists & found.


Factual sample: 		 {x0 : -2.123303283569401, x1 : -3.927587564944067, y: False}
Nearest counterfactual sample:	 {x0 : 2.92233031438872, x1 : -3.9275038230761186, y: True} (verified)
Minimum counterfactual distance: 0.206498
