

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


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 0.059057 in range [0.000000, 0.118114]...	no solution exists.
	Iteration #003: testing norm threshold 0.088586 in range [0.059057, 0.118114]...	no solution exists.
	Iteration #004: testing norm threshold 0.103350 in range [0.088586, 0.118114]...	no solution exists.
	Iteration #005: testing norm threshold 0.110732 in range [0.103350, 0.118114]...	solution exists & found.
	Iteration #006: testing norm threshold 0.107041 in range [0.103350, 0.110732]...	solution exists & found.
	Iteration #007: testing norm threshold 0.105195 in range [0.103350, 0.107041]...	no solution exists.
	Iteration #008: testing norm threshold 0.106118 in range [0.105195, 0.107041]...	solution exists & found.
	Iteration #009: testing norm threshold 0.105657 in range [0.105195, 0.106118]...	no solution exists.
	Iteration #010: testing norm threshold 0.105888 in range [0.105657, 0.106118]...	solution exists & found.
	Iteration #011: testing norm threshold 0.105772 in range [0.105657, 0.105888]...	solution exists & found.
	Iteration #012: testing norm threshold 0.105715 in range [0.105657, 0.105772]...	solution exists & found.
	Iteration #013: testing norm threshold 0.105686 in range [0.105657, 0.105715]...	no solution exists.
	Iteration #014: testing norm threshold 0.105700 in range [0.105686, 0.105715]...	no solution exists.
	Iteration #015: testing norm threshold 0.105708 in range [0.105700, 0.105715]...	solution exists & found.


Factual sample: 		 {x0 : -1.4183917277488014, x1 : -1.5926058130616425, y: False}
Nearest counterfactual sample:	 {x0 : 1.1645128828483695, x1 : -1.592631185469131, y: True} (verified)
Minimum counterfactual distance: 0.105708
