

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


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 0.083904 in range [0.000000, 0.167808]...	no solution exists.
	Iteration #003: testing norm threshold 0.125856 in range [0.083904, 0.167808]...	no solution exists.
	Iteration #004: testing norm threshold 0.146832 in range [0.125856, 0.167808]...	no solution exists.
	Iteration #005: testing norm threshold 0.157320 in range [0.146832, 0.167808]...	solution exists & found.
	Iteration #006: testing norm threshold 0.152076 in range [0.146832, 0.157321]...	no solution exists.
	Iteration #007: testing norm threshold 0.154699 in range [0.152076, 0.157321]...	no solution exists.
	Iteration #008: testing norm threshold 0.156010 in range [0.154699, 0.157321]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155354 in range [0.154699, 0.156010]...	no solution exists.
	Iteration #010: testing norm threshold 0.155682 in range [0.155354, 0.156010]...	solution exists & found.
	Iteration #011: testing norm threshold 0.155518 in range [0.155354, 0.155682]...	no solution exists.
	Iteration #012: testing norm threshold 0.155600 in range [0.155518, 0.155682]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155559 in range [0.155518, 0.155600]...	no solution exists.
	Iteration #014: testing norm threshold 0.155580 in range [0.155559, 0.155600]...	no solution exists.
	Iteration #015: testing norm threshold 0.155590 in range [0.155580, 0.155600]...	no solution exists.
	Iteration #016: testing norm threshold 0.155595 in range [0.155590, 0.155600]...	no solution exists.


Factual sample: 		 {x0 : -2.254454543746456, x1 : -2.1397109051458494, y: False}
Nearest counterfactual sample:	 {x0 : 1.5475554216053646, x1 : -2.1396833843243357, y: True} (verified)
Minimum counterfactual distance: 0.155600
