

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


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 0.102961 in range [0.000000, 0.205923]...	no solution exists.
	Iteration #003: testing norm threshold 0.154442 in range [0.102961, 0.205923]...	no solution exists.
	Iteration #004: testing norm threshold 0.180182 in range [0.154442, 0.205923]...	no solution exists.
	Iteration #005: testing norm threshold 0.193052 in range [0.180182, 0.205923]...	no solution exists.
	Iteration #006: testing norm threshold 0.199487 in range [0.193052, 0.205923]...	solution exists & found.
	Iteration #007: testing norm threshold 0.196270 in range [0.193052, 0.199488]...	solution exists & found.
	Iteration #008: testing norm threshold 0.194661 in range [0.193052, 0.196270]...	solution exists & found.
	Iteration #009: testing norm threshold 0.193857 in range [0.193052, 0.194661]...	solution exists & found.
	Iteration #010: testing norm threshold 0.193455 in range [0.193052, 0.193857]...	no solution exists.
	Iteration #011: testing norm threshold 0.193656 in range [0.193455, 0.193857]...	solution exists & found.
	Iteration #012: testing norm threshold 0.193555 in range [0.193455, 0.193656]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193505 in range [0.193455, 0.193555]...	no solution exists.
	Iteration #014: testing norm threshold 0.193530 in range [0.193505, 0.193555]...	solution exists & found.
	Iteration #015: testing norm threshold 0.193518 in range [0.193505, 0.193530]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193511 in range [0.193505, 0.193518]...	no solution exists.


Factual sample: 		 {x0 : -3.3749964244168207, x1 : -1.826285563020939, y: False}
Nearest counterfactual sample:	 {x0 : 1.353505570124905, x1 : -1.8263276748159814, y: True} (verified)
Minimum counterfactual distance: 0.193518
