

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


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 0.178958 in range [0.000000, 0.357917]...	no solution exists.
	Iteration #003: testing norm threshold 0.268438 in range [0.178958, 0.357917]...	solution exists & found.
	Iteration #004: testing norm threshold 0.223698 in range [0.178958, 0.268438]...	solution exists & found.
	Iteration #005: testing norm threshold 0.201328 in range [0.178958, 0.223698]...	no solution exists.
	Iteration #006: testing norm threshold 0.212513 in range [0.201328, 0.223698]...	solution exists & found.
	Iteration #007: testing norm threshold 0.206921 in range [0.201328, 0.212513]...	no solution exists.
	Iteration #008: testing norm threshold 0.209717 in range [0.206921, 0.212513]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208319 in range [0.206921, 0.209717]...	no solution exists.
	Iteration #010: testing norm threshold 0.209018 in range [0.208319, 0.209717]...	solution exists & found.
	Iteration #011: testing norm threshold 0.208669 in range [0.208319, 0.209018]...	no solution exists.
	Iteration #012: testing norm threshold 0.208843 in range [0.208669, 0.209018]...	no solution exists.
	Iteration #013: testing norm threshold 0.208931 in range [0.208843, 0.209018]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208887 in range [0.208843, 0.208931]...	no solution exists.
	Iteration #015: testing norm threshold 0.208909 in range [0.208887, 0.208931]...	solution exists & found.
	Iteration #016: testing norm threshold 0.208898 in range [0.208887, 0.208909]...	solution exists & found.
	Iteration #017: testing norm threshold 0.208893 in range [0.208887, 0.208898]...	solution exists & found.


Factual sample: 		 {x0 : -3.7251591587502872, x1 : -1.920583035112302, y: False}
Nearest counterfactual sample:	 {x0 : 1.3790738555700996, x1 : -1.920583035112302, y: True} (verified)
Minimum counterfactual distance: 0.208893
