

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


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 0.080774 in range [0.000000, 0.161548]...	no solution exists.
	Iteration #003: testing norm threshold 0.121161 in range [0.080774, 0.161548]...	solution exists & found.
	Iteration #004: testing norm threshold 0.100968 in range [0.080774, 0.121161]...	no solution exists.
	Iteration #005: testing norm threshold 0.111064 in range [0.100968, 0.121161]...	no solution exists.
	Iteration #006: testing norm threshold 0.116113 in range [0.111064, 0.121161]...	solution exists & found.
	Iteration #007: testing norm threshold 0.113589 in range [0.111064, 0.116113]...	solution exists & found.
	Iteration #008: testing norm threshold 0.112327 in range [0.111064, 0.113589]...	solution exists & found.
	Iteration #009: testing norm threshold 0.111696 in range [0.111064, 0.112327]...	solution exists & found.
	Iteration #010: testing norm threshold 0.111380 in range [0.111064, 0.111696]...	no solution exists.
	Iteration #011: testing norm threshold 0.111538 in range [0.111380, 0.111696]...	no solution exists.
	Iteration #012: testing norm threshold 0.111617 in range [0.111538, 0.111696]...	no solution exists.
	Iteration #013: testing norm threshold 0.111656 in range [0.111617, 0.111696]...	solution exists & found.
	Iteration #014: testing norm threshold 0.111636 in range [0.111617, 0.111656]...	solution exists & found.
	Iteration #015: testing norm threshold 0.111627 in range [0.111617, 0.111637]...	solution exists & found.
	Iteration #016: testing norm threshold 0.111622 in range [0.111617, 0.111627]...	no solution exists.


Factual sample: 		 {x0 : -0.8162046587619045, x1 : -2.612690549642645, y: False}
Nearest counterfactual sample:	 {x0 : 1.9112009589101195, x1 : -2.612543011780514, y: True} (verified)
Minimum counterfactual distance: 0.111627
