

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


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 0.145754 in range [0.000000, 0.291507]...	no solution exists.
	Iteration #003: testing norm threshold 0.218631 in range [0.145754, 0.291507]...	solution exists & found.
	Iteration #004: testing norm threshold 0.182192 in range [0.145754, 0.218631]...	no solution exists.
	Iteration #005: testing norm threshold 0.200411 in range [0.182192, 0.218631]...	solution exists & found.
	Iteration #006: testing norm threshold 0.191302 in range [0.182192, 0.200412]...	no solution exists.
	Iteration #007: testing norm threshold 0.195857 in range [0.191302, 0.200412]...	no solution exists.
	Iteration #008: testing norm threshold 0.198134 in range [0.195857, 0.200412]...	solution exists & found.
	Iteration #009: testing norm threshold 0.196995 in range [0.195857, 0.198134]...	solution exists & found.
	Iteration #010: testing norm threshold 0.196426 in range [0.195857, 0.196996]...	no solution exists.
	Iteration #011: testing norm threshold 0.196711 in range [0.196426, 0.196996]...	solution exists & found.
	Iteration #012: testing norm threshold 0.196569 in range [0.196426, 0.196711]...	solution exists & found.
	Iteration #013: testing norm threshold 0.196497 in range [0.196426, 0.196569]...	solution exists & found.
	Iteration #014: testing norm threshold 0.196462 in range [0.196426, 0.196497]...	no solution exists.
	Iteration #015: testing norm threshold 0.196480 in range [0.196462, 0.196497]...	solution exists & found.
	Iteration #016: testing norm threshold 0.196471 in range [0.196462, 0.196480]...	solution exists & found.


Factual sample: 		 {x0 : -3.775496411731192, x1 : -1.4602026955070155, y: False}
Nearest counterfactual sample:	 {x0 : 1.0249386121622026, x1 : -1.4599510021973585, y: True} (verified)
Minimum counterfactual distance: 0.196471
