

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


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 0.165667 in range [0.000000, 0.331334]...	no solution exists.
	Iteration #003: testing norm threshold 0.248501 in range [0.165667, 0.331334]...	solution exists & found.
	Iteration #004: testing norm threshold 0.201425 in range [0.165667, 0.237184]...	no solution exists.
	Iteration #005: testing norm threshold 0.219304 in range [0.201425, 0.237184]...	no solution exists.
	Iteration #006: testing norm threshold 0.228244 in range [0.219304, 0.237184]...	solution exists & found.
	Iteration #007: testing norm threshold 0.223774 in range [0.219304, 0.228244]...	no solution exists.
	Iteration #008: testing norm threshold 0.226009 in range [0.223774, 0.228244]...	solution exists & found.
	Iteration #009: testing norm threshold 0.224892 in range [0.223774, 0.226009]...	no solution exists.
	Iteration #010: testing norm threshold 0.225451 in range [0.224892, 0.226009]...	solution exists & found.
	Iteration #011: testing norm threshold 0.225171 in range [0.224892, 0.225451]...	solution exists & found.
	Iteration #012: testing norm threshold 0.225032 in range [0.224892, 0.225171]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224962 in range [0.224892, 0.225032]...	no solution exists.
	Iteration #014: testing norm threshold 0.224997 in range [0.224962, 0.225032]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224979 in range [0.224962, 0.224997]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224971 in range [0.224962, 0.224979]...	no solution exists.


Factual sample: 		 {x0 : -3.5483288514428235, x1 : -2.6615661453778, y: False}
Nearest counterfactual sample:	 {x0 : 1.948972103266894, x1 : -2.6615661453778, y: True} (verified)
Minimum counterfactual distance: 0.224979
