

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


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 0.175712 in range [0.000000, 0.351425]...	no solution exists.
	Iteration #003: testing norm threshold 0.263569 in range [0.175712, 0.351425]...	solution exists & found.
	Iteration #004: testing norm threshold 0.219641 in range [0.175712, 0.263569]...	no solution exists.
	Iteration #005: testing norm threshold 0.241605 in range [0.219641, 0.263569]...	no solution exists.
	Iteration #006: testing norm threshold 0.252587 in range [0.241605, 0.263569]...	solution exists & found.
	Iteration #007: testing norm threshold 0.247096 in range [0.241605, 0.252587]...	no solution exists.
	Iteration #008: testing norm threshold 0.249841 in range [0.247096, 0.252587]...	no solution exists.
	Iteration #009: testing norm threshold 0.251214 in range [0.249841, 0.252587]...	no solution exists.
	Iteration #010: testing norm threshold 0.251900 in range [0.251214, 0.252587]...	no solution exists.
	Iteration #011: testing norm threshold 0.252244 in range [0.251900, 0.252587]...	solution exists & found.
	Iteration #012: testing norm threshold 0.252072 in range [0.251900, 0.252244]...	no solution exists.
	Iteration #013: testing norm threshold 0.252158 in range [0.252072, 0.252244]...	solution exists & found.
	Iteration #014: testing norm threshold 0.252115 in range [0.252072, 0.252158]...	no solution exists.
	Iteration #015: testing norm threshold 0.252136 in range [0.252115, 0.252158]...	no solution exists.
	Iteration #016: testing norm threshold 0.252147 in range [0.252136, 0.252158]...	solution exists & found.
	Iteration #017: testing norm threshold 0.252142 in range [0.252136, 0.252147]...	no solution exists.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.7760339544990655, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.252147
