

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


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 0.165131 in range [0.000000, 0.330262]...	no solution exists.
	Iteration #003: testing norm threshold 0.247696 in range [0.165131, 0.330262]...	solution exists & found.
	Iteration #004: testing norm threshold 0.200773 in range [0.165131, 0.236416]...	no solution exists.
	Iteration #005: testing norm threshold 0.218594 in range [0.200773, 0.236416]...	no solution exists.
	Iteration #006: testing norm threshold 0.227505 in range [0.218594, 0.236416]...	solution exists & found.
	Iteration #007: testing norm threshold 0.223050 in range [0.218594, 0.227505]...	no solution exists.
	Iteration #008: testing norm threshold 0.225277 in range [0.223050, 0.227505]...	solution exists & found.
	Iteration #009: testing norm threshold 0.224164 in range [0.223050, 0.225278]...	no solution exists.
	Iteration #010: testing norm threshold 0.224721 in range [0.224164, 0.225278]...	solution exists & found.
	Iteration #011: testing norm threshold 0.224442 in range [0.224164, 0.224721]...	solution exists & found.
	Iteration #012: testing norm threshold 0.224303 in range [0.224164, 0.224442]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224233 in range [0.224164, 0.224303]...	solution exists & found.
	Iteration #014: testing norm threshold 0.224199 in range [0.224164, 0.224233]...	no solution exists.
	Iteration #015: testing norm threshold 0.224216 in range [0.224199, 0.224233]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224207 in range [0.224199, 0.224216]...	solution exists & found.


Factual sample: 		 {x0 : -2.1919581377991664, x1 : -4.401074914269873, y: False}
Nearest counterfactual sample:	 {x0 : 3.28644407815589, x1 : -4.40103897994149, y: True} (verified)
Minimum counterfactual distance: 0.224207
