

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


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 0.133560 in range [0.000000, 0.267121]...	no solution exists.
	Iteration #003: testing norm threshold 0.200341 in range [0.133560, 0.267121]...	solution exists & found.
	Iteration #004: testing norm threshold 0.166950 in range [0.133560, 0.200341]...	no solution exists.
	Iteration #005: testing norm threshold 0.183646 in range [0.166950, 0.200341]...	no solution exists.
	Iteration #006: testing norm threshold 0.191993 in range [0.183646, 0.200341]...	solution exists & found.
	Iteration #007: testing norm threshold 0.187819 in range [0.183646, 0.191993]...	no solution exists.
	Iteration #008: testing norm threshold 0.189906 in range [0.187819, 0.191993]...	solution exists & found.
	Iteration #009: testing norm threshold 0.188863 in range [0.187819, 0.189906]...	solution exists & found.
	Iteration #010: testing norm threshold 0.188341 in range [0.187819, 0.188863]...	no solution exists.
	Iteration #011: testing norm threshold 0.188602 in range [0.188341, 0.188863]...	no solution exists.
	Iteration #012: testing norm threshold 0.188733 in range [0.188602, 0.188863]...	solution exists & found.
	Iteration #013: testing norm threshold 0.188667 in range [0.188602, 0.188733]...	no solution exists.
	Iteration #014: testing norm threshold 0.188700 in range [0.188667, 0.188733]...	solution exists & found.
	Iteration #015: testing norm threshold 0.188684 in range [0.188667, 0.188700]...	solution exists & found.
	Iteration #016: testing norm threshold 0.188676 in range [0.188667, 0.188684]...	no solution exists.


Factual sample: 		 {x0 : -3.302216849192826, x1 : -1.7702972674443205, y: False}
Nearest counterfactual sample:	 {x0 : 1.308214555516854, x1 : -1.7702972674443205, y: True} (verified)
Minimum counterfactual distance: 0.188684
