

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


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 0.100740 in range [0.000000, 0.201480]...	no solution exists.
	Iteration #003: testing norm threshold 0.151110 in range [0.100740, 0.201480]...	no solution exists.
	Iteration #004: testing norm threshold 0.176295 in range [0.151110, 0.201480]...	no solution exists.
	Iteration #005: testing norm threshold 0.188888 in range [0.176295, 0.201480]...	no solution exists.
	Iteration #006: testing norm threshold 0.195184 in range [0.188888, 0.201480]...	solution exists & found.
	Iteration #007: testing norm threshold 0.192036 in range [0.188888, 0.195184]...	solution exists & found.
	Iteration #008: testing norm threshold 0.190462 in range [0.188888, 0.192036]...	solution exists & found.
	Iteration #009: testing norm threshold 0.189675 in range [0.188888, 0.190462]...	solution exists & found.
	Iteration #010: testing norm threshold 0.189281 in range [0.188888, 0.189675]...	solution exists & found.
	Iteration #011: testing norm threshold 0.189084 in range [0.188888, 0.189281]...	no solution exists.
	Iteration #012: testing norm threshold 0.189183 in range [0.189084, 0.189281]...	no solution exists.
	Iteration #013: testing norm threshold 0.189232 in range [0.189183, 0.189281]...	no solution exists.
	Iteration #014: testing norm threshold 0.189257 in range [0.189232, 0.189281]...	no solution exists.
	Iteration #015: testing norm threshold 0.189269 in range [0.189257, 0.189281]...	no solution exists.
	Iteration #016: testing norm threshold 0.189275 in range [0.189269, 0.189281]...	solution exists & found.


Factual sample: 		 {x0 : -2.509367391060185, x1 : -2.8781675456854754, y: False}
Nearest counterfactual sample:	 {x0 : 2.115331211813583, x1 : -2.8779979165210423, y: True} (verified)
Minimum counterfactual distance: 0.189275
