

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


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 0.107914 in range [0.000000, 0.215828]...	no solution exists.
	Iteration #003: testing norm threshold 0.161871 in range [0.107914, 0.215828]...	no solution exists.
	Iteration #004: testing norm threshold 0.188849 in range [0.161871, 0.215828]...	solution exists & found.
	Iteration #005: testing norm threshold 0.169991 in range [0.161871, 0.178112]...	solution exists & found.
	Iteration #006: testing norm threshold 0.165931 in range [0.161871, 0.169991]...	solution exists & found.
	Iteration #007: testing norm threshold 0.163901 in range [0.161871, 0.165931]...	no solution exists.
	Iteration #008: testing norm threshold 0.164916 in range [0.163901, 0.165931]...	no solution exists.
	Iteration #009: testing norm threshold 0.165424 in range [0.164916, 0.165931]...	no solution exists.
	Iteration #010: testing norm threshold 0.165677 in range [0.165424, 0.165931]...	no solution exists.
	Iteration #011: testing norm threshold 0.165804 in range [0.165677, 0.165931]...	no solution exists.
	Iteration #012: testing norm threshold 0.165868 in range [0.165804, 0.165931]...	no solution exists.
	Iteration #013: testing norm threshold 0.165900 in range [0.165868, 0.165931]...	no solution exists.
	Iteration #014: testing norm threshold 0.165915 in range [0.165900, 0.165931]...	solution exists & found.
	Iteration #015: testing norm threshold 0.165907 in range [0.165900, 0.165915]...	solution exists & found.


Factual sample: 		 {x0 : -2.68983094161814, x1 : -1.9009248256972844, y: False}
Nearest counterfactual sample:	 {x0 : 1.3638622217865735, x1 : -1.9007315134632952, y: True} (verified)
Minimum counterfactual distance: 0.165907
