

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


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 0.185420 in range [0.000000, 0.370841]...	no solution exists.
	Iteration #003: testing norm threshold 0.278130 in range [0.185420, 0.370841]...	solution exists & found.
	Iteration #004: testing norm threshold 0.231775 in range [0.185420, 0.278131]...	no solution exists.
	Iteration #005: testing norm threshold 0.254953 in range [0.231775, 0.278131]...	no solution exists.
	Iteration #006: testing norm threshold 0.266542 in range [0.254953, 0.278131]...	no solution exists.
	Iteration #007: testing norm threshold 0.272336 in range [0.266542, 0.278131]...	solution exists & found.
	Iteration #008: testing norm threshold 0.269439 in range [0.266542, 0.272336]...	solution exists & found.
	Iteration #009: testing norm threshold 0.267990 in range [0.266542, 0.269439]...	solution exists & found.
	Iteration #010: testing norm threshold 0.267266 in range [0.266542, 0.267991]...	solution exists & found.
	Iteration #011: testing norm threshold 0.266904 in range [0.266542, 0.267266]...	solution exists & found.
	Iteration #012: testing norm threshold 0.266723 in range [0.266542, 0.266904]...	no solution exists.
	Iteration #013: testing norm threshold 0.266814 in range [0.266723, 0.266904]...	solution exists & found.
	Iteration #014: testing norm threshold 0.266768 in range [0.266723, 0.266814]...	solution exists & found.
	Iteration #015: testing norm threshold 0.266746 in range [0.266723, 0.266768]...	no solution exists.
	Iteration #016: testing norm threshold 0.266757 in range [0.266746, 0.266768]...	no solution exists.
	Iteration #017: testing norm threshold 0.266763 in range [0.266757, 0.266768]...	no solution exists.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.3923988383420105, x1 : -4.347624962890833, y: True} (verified)
Minimum counterfactual distance: 0.266768
