

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


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 0.197787 in range [0.000000, 0.395575]...	no solution exists.
	Iteration #003: testing norm threshold 0.296681 in range [0.197787, 0.395575]...	solution exists & found.
	Iteration #004: testing norm threshold 0.247234 in range [0.197787, 0.296681]...	no solution exists.
	Iteration #005: testing norm threshold 0.271958 in range [0.247234, 0.296681]...	no solution exists.
	Iteration #006: testing norm threshold 0.284319 in range [0.271958, 0.296681]...	no solution exists.
	Iteration #007: testing norm threshold 0.290500 in range [0.284319, 0.296681]...	solution exists & found.
	Iteration #008: testing norm threshold 0.287410 in range [0.284319, 0.290500]...	no solution exists.
	Iteration #009: testing norm threshold 0.288955 in range [0.287410, 0.290500]...	no solution exists.
	Iteration #010: testing norm threshold 0.289728 in range [0.288955, 0.290500]...	no solution exists.
	Iteration #011: testing norm threshold 0.290114 in range [0.289728, 0.290500]...	solution exists & found.
	Iteration #012: testing norm threshold 0.289921 in range [0.289728, 0.290114]...	no solution exists.
	Iteration #013: testing norm threshold 0.290017 in range [0.289921, 0.290114]...	solution exists & found.
	Iteration #014: testing norm threshold 0.289969 in range [0.289921, 0.290018]...	solution exists & found.
	Iteration #015: testing norm threshold 0.289945 in range [0.289921, 0.289969]...	solution exists & found.
	Iteration #016: testing norm threshold 0.289933 in range [0.289921, 0.289945]...	no solution exists.
	Iteration #017: testing norm threshold 0.289939 in range [0.289933, 0.289945]...	solution exists & found.


Factual sample: 		 {x0 : -4.935855627644195, x1 : -2.8095964670860902, y: False}
Nearest counterfactual sample:	 {x0 : 2.148720987581359, x1 : -2.8095964670860902, y: True} (verified)
Minimum counterfactual distance: 0.289939
