

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


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 0.196642 in range [0.000000, 0.393284]...	no solution exists.
	Iteration #003: testing norm threshold 0.294963 in range [0.196642, 0.393284]...	solution exists & found.
	Iteration #004: testing norm threshold 0.245802 in range [0.196642, 0.294963]...	no solution exists.
	Iteration #005: testing norm threshold 0.270383 in range [0.245802, 0.294963]...	solution exists & found.
	Iteration #006: testing norm threshold 0.258093 in range [0.245802, 0.270383]...	no solution exists.
	Iteration #007: testing norm threshold 0.264238 in range [0.258093, 0.270383]...	no solution exists.
	Iteration #008: testing norm threshold 0.267310 in range [0.264238, 0.270383]...	no solution exists.
	Iteration #009: testing norm threshold 0.268847 in range [0.267310, 0.270383]...	no solution exists.
	Iteration #010: testing norm threshold 0.269615 in range [0.268847, 0.270383]...	solution exists & found.
	Iteration #011: testing norm threshold 0.269231 in range [0.268847, 0.269615]...	no solution exists.
	Iteration #012: testing norm threshold 0.269423 in range [0.269231, 0.269615]...	solution exists & found.
	Iteration #013: testing norm threshold 0.269327 in range [0.269231, 0.269423]...	solution exists & found.
	Iteration #014: testing norm threshold 0.269279 in range [0.269231, 0.269327]...	no solution exists.
	Iteration #015: testing norm threshold 0.269303 in range [0.269279, 0.269327]...	no solution exists.
	Iteration #016: testing norm threshold 0.269315 in range [0.269303, 0.269327]...	no solution exists.
	Iteration #017: testing norm threshold 0.269321 in range [0.269315, 0.269327]...	solution exists & found.


Factual sample: 		 {x0 : -3.45034518483309, x1 : -4.198149802293137, y: False}
Nearest counterfactual sample:	 {x0 : 3.1304128571329213, x1 : -4.198134446701642, y: True} (verified)
Minimum counterfactual distance: 0.269321
