

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


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 0.164054 in range [0.000000, 0.328108]...	no solution exists.
	Iteration #003: testing norm threshold 0.246081 in range [0.164054, 0.328108]...	solution exists & found.
	Iteration #004: testing norm threshold 0.205067 in range [0.164054, 0.246081]...	no solution exists.
	Iteration #005: testing norm threshold 0.225574 in range [0.205067, 0.246081]...	solution exists & found.
	Iteration #006: testing norm threshold 0.215321 in range [0.205067, 0.225574]...	no solution exists.
	Iteration #007: testing norm threshold 0.220448 in range [0.215321, 0.225574]...	no solution exists.
	Iteration #008: testing norm threshold 0.223011 in range [0.220448, 0.225574]...	solution exists & found.
	Iteration #009: testing norm threshold 0.221729 in range [0.220448, 0.223011]...	no solution exists.
	Iteration #010: testing norm threshold 0.222370 in range [0.221729, 0.223011]...	no solution exists.
	Iteration #011: testing norm threshold 0.222691 in range [0.222370, 0.223011]...	solution exists & found.
	Iteration #012: testing norm threshold 0.222530 in range [0.222370, 0.222691]...	no solution exists.
	Iteration #013: testing norm threshold 0.222611 in range [0.222530, 0.222691]...	no solution exists.
	Iteration #014: testing norm threshold 0.222651 in range [0.222611, 0.222691]...	no solution exists.
	Iteration #015: testing norm threshold 0.222671 in range [0.222651, 0.222691]...	solution exists & found.
	Iteration #016: testing norm threshold 0.222661 in range [0.222651, 0.222671]...	no solution exists.
	Iteration #017: testing norm threshold 0.222666 in range [0.222661, 0.222671]...	solution exists & found.


Factual sample: 		 {x0 : -2.4425314289186755, x1 : -4.026219185607966, y: False}
Nearest counterfactual sample:	 {x0 : 2.998239936638622, x1 : -4.026219185607966, y: True} (verified)
Minimum counterfactual distance: 0.222666
