

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


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 0.148935 in range [0.000000, 0.297870]...	no solution exists.
	Iteration #003: testing norm threshold 0.223402 in range [0.148935, 0.297870]...	solution exists & found.
	Iteration #004: testing norm threshold 0.186169 in range [0.148935, 0.223402]...	no solution exists.
	Iteration #005: testing norm threshold 0.204785 in range [0.186169, 0.223402]...	no solution exists.
	Iteration #006: testing norm threshold 0.214094 in range [0.204785, 0.223402]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209440 in range [0.204785, 0.214094]...	no solution exists.
	Iteration #008: testing norm threshold 0.211767 in range [0.209440, 0.214094]...	no solution exists.
	Iteration #009: testing norm threshold 0.212930 in range [0.211767, 0.214094]...	solution exists & found.
	Iteration #010: testing norm threshold 0.212349 in range [0.211767, 0.212930]...	solution exists & found.
	Iteration #011: testing norm threshold 0.212058 in range [0.211767, 0.212349]...	solution exists & found.
	Iteration #012: testing norm threshold 0.211912 in range [0.211767, 0.212058]...	solution exists & found.
	Iteration #013: testing norm threshold 0.211840 in range [0.211767, 0.211912]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211803 in range [0.211767, 0.211840]...	no solution exists.
	Iteration #015: testing norm threshold 0.211821 in range [0.211803, 0.211840]...	no solution exists.
	Iteration #016: testing norm threshold 0.211831 in range [0.211821, 0.211840]...	solution exists & found.


Factual sample: 		 {x0 : -2.123303283569401, x1 : -3.927587564944067, y: False}
Nearest counterfactual sample:	 {x0 : 3.052714834569362, x1 : -3.927587564944067, y: True} (verified)
Minimum counterfactual distance: 0.211831
