

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


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 0.191814 in range [0.000000, 0.383627]...	no solution exists.
	Iteration #003: testing norm threshold 0.287721 in range [0.191814, 0.383627]...	solution exists & found.
	Iteration #004: testing norm threshold 0.239767 in range [0.191814, 0.287721]...	solution exists & found.
	Iteration #005: testing norm threshold 0.215791 in range [0.191814, 0.239767]...	no solution exists.
	Iteration #006: testing norm threshold 0.227779 in range [0.215791, 0.239767]...	solution exists & found.
	Iteration #007: testing norm threshold 0.221785 in range [0.215791, 0.227779]...	no solution exists.
	Iteration #008: testing norm threshold 0.224782 in range [0.221785, 0.227779]...	no solution exists.
	Iteration #009: testing norm threshold 0.226280 in range [0.224782, 0.227779]...	no solution exists.
	Iteration #010: testing norm threshold 0.227030 in range [0.226280, 0.227779]...	no solution exists.
	Iteration #011: testing norm threshold 0.227404 in range [0.227030, 0.227779]...	solution exists & found.
	Iteration #012: testing norm threshold 0.227217 in range [0.227030, 0.227404]...	no solution exists.
	Iteration #013: testing norm threshold 0.227311 in range [0.227217, 0.227404]...	solution exists & found.
	Iteration #014: testing norm threshold 0.227264 in range [0.227217, 0.227311]...	no solution exists.
	Iteration #015: testing norm threshold 0.227287 in range [0.227264, 0.227311]...	no solution exists.
	Iteration #016: testing norm threshold 0.227299 in range [0.227287, 0.227311]...	solution exists & found.
	Iteration #017: testing norm threshold 0.227293 in range [0.227287, 0.227299]...	no solution exists.


Factual sample: 		 {x0 : -2.0719991950990244, x1 : -4.655290557028148, y: False}
Nearest counterfactual sample:	 {x0 : 3.4819054367522777, x1 : -4.655212274383194, y: True} (verified)
Minimum counterfactual distance: 0.227299
