

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


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 0.181309 in range [0.000000, 0.362619]...	no solution exists.
	Iteration #003: testing norm threshold 0.271964 in range [0.181309, 0.362619]...	solution exists & found.
	Iteration #004: testing norm threshold 0.220444 in range [0.181309, 0.259578]...	no solution exists.
	Iteration #005: testing norm threshold 0.240011 in range [0.220444, 0.259578]...	no solution exists.
	Iteration #006: testing norm threshold 0.249795 in range [0.240011, 0.259578]...	solution exists & found.
	Iteration #007: testing norm threshold 0.244903 in range [0.240011, 0.249795]...	no solution exists.
	Iteration #008: testing norm threshold 0.247349 in range [0.244903, 0.249795]...	no solution exists.
	Iteration #009: testing norm threshold 0.248572 in range [0.247349, 0.249795]...	solution exists & found.
	Iteration #010: testing norm threshold 0.247960 in range [0.247349, 0.248572]...	solution exists & found.
	Iteration #011: testing norm threshold 0.247655 in range [0.247349, 0.247960]...	solution exists & found.
	Iteration #012: testing norm threshold 0.247502 in range [0.247349, 0.247655]...	solution exists & found.
	Iteration #013: testing norm threshold 0.247425 in range [0.247349, 0.247502]...	solution exists & found.
	Iteration #014: testing norm threshold 0.247387 in range [0.247349, 0.247425]...	solution exists & found.
	Iteration #015: testing norm threshold 0.247368 in range [0.247349, 0.247387]...	no solution exists.
	Iteration #016: testing norm threshold 0.247378 in range [0.247368, 0.247387]...	solution exists & found.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.659490544304215, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.247378
