

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


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 0.192965 in range [0.000000, 0.385931]...	no solution exists.
	Iteration #003: testing norm threshold 0.289448 in range [0.192965, 0.385931]...	solution exists & found.
	Iteration #004: testing norm threshold 0.235918 in range [0.192965, 0.278871]...	solution exists & found.
	Iteration #005: testing norm threshold 0.214442 in range [0.192965, 0.235918]...	no solution exists.
	Iteration #006: testing norm threshold 0.225180 in range [0.214442, 0.235918]...	no solution exists.
	Iteration #007: testing norm threshold 0.230549 in range [0.225180, 0.235918]...	solution exists & found.
	Iteration #008: testing norm threshold 0.227865 in range [0.225180, 0.230549]...	no solution exists.
	Iteration #009: testing norm threshold 0.229207 in range [0.227865, 0.230549]...	solution exists & found.
	Iteration #010: testing norm threshold 0.228536 in range [0.227865, 0.229207]...	no solution exists.
	Iteration #011: testing norm threshold 0.228872 in range [0.228536, 0.229207]...	no solution exists.
	Iteration #012: testing norm threshold 0.229039 in range [0.228872, 0.229207]...	solution exists & found.
	Iteration #013: testing norm threshold 0.228956 in range [0.228872, 0.229040]...	solution exists & found.
	Iteration #014: testing norm threshold 0.228914 in range [0.228872, 0.228956]...	no solution exists.
	Iteration #015: testing norm threshold 0.228935 in range [0.228914, 0.228956]...	no solution exists.
	Iteration #016: testing norm threshold 0.228945 in range [0.228935, 0.228956]...	no solution exists.
	Iteration #017: testing norm threshold 0.228950 in range [0.228945, 0.228956]...	solution exists & found.


Factual sample: 		 {x0 : -2.79803667847525, x1 : -3.763503862412448, y: False}
Nearest counterfactual sample:	 {x0 : 2.796116318681291, x1 : -3.763332522547131, y: True} (verified)
Minimum counterfactual distance: 0.228950
