

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


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 0.207084 in range [0.165667, 0.248501]...	no solution exists.
	Iteration #005: testing norm threshold 0.227792 in range [0.207084, 0.248501]...	solution exists & found.
	Iteration #006: testing norm threshold 0.217438 in range [0.207084, 0.227793]...	no solution exists.
	Iteration #007: testing norm threshold 0.222615 in range [0.217438, 0.227793]...	no solution exists.
	Iteration #008: testing norm threshold 0.225204 in range [0.222615, 0.227793]...	solution exists & found.
	Iteration #009: testing norm threshold 0.223910 in range [0.222615, 0.225204]...	no solution exists.
	Iteration #010: testing norm threshold 0.224557 in range [0.223910, 0.225204]...	no solution exists.
	Iteration #011: testing norm threshold 0.224881 in range [0.224557, 0.225204]...	no solution exists.
	Iteration #012: testing norm threshold 0.225042 in range [0.224881, 0.225204]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224961 in range [0.224881, 0.225042]...	no solution exists.
	Iteration #014: testing norm threshold 0.225002 in range [0.224961, 0.225042]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224982 in range [0.224961, 0.225002]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224972 in range [0.224961, 0.224982]...	no solution exists.
	Iteration #017: testing norm threshold 0.224977 in range [0.224972, 0.224982]...	solution exists & found.


Factual sample: 		 {x0 : -3.5483288514428235, x1 : -2.6615661453778, y: False}
Nearest counterfactual sample:	 {x0 : 1.948807928655629, x1 : -2.6614697581118567, y: True} (verified)
Minimum counterfactual distance: 0.224977
