

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.065687 in range [0.000000, 0.131373]...	no solution exists.
	Iteration #003: testing norm threshold 0.098530 in range [0.065687, 0.131373]...	no solution exists.
	Iteration #004: testing norm threshold 0.114952 in range [0.098530, 0.131373]...	no solution exists.
	Iteration #005: testing norm threshold 0.123163 in range [0.114952, 0.131373]...	solution exists & found.
	Iteration #006: testing norm threshold 0.119057 in range [0.114952, 0.123163]...	no solution exists.
	Iteration #007: testing norm threshold 0.121110 in range [0.119057, 0.123163]...	solution exists & found.
	Iteration #008: testing norm threshold 0.120084 in range [0.119057, 0.121110]...	solution exists & found.
	Iteration #009: testing norm threshold 0.119571 in range [0.119057, 0.120084]...	solution exists & found.
	Iteration #010: testing norm threshold 0.119314 in range [0.119057, 0.119571]...	solution exists & found.
	Iteration #011: testing norm threshold 0.119186 in range [0.119057, 0.119314]...	solution exists & found.
	Iteration #012: testing norm threshold 0.119122 in range [0.119057, 0.119186]...	no solution exists.
	Iteration #013: testing norm threshold 0.119154 in range [0.119122, 0.119186]...	no solution exists.
	Iteration #014: testing norm threshold 0.119170 in range [0.119154, 0.119186]...	solution exists & found.
	Iteration #015: testing norm threshold 0.119162 in range [0.119154, 0.119170]...	no solution exists.


Factual sample: 		 {x0 : -0.5340851525693076, x1 : -3.219213360417987, y: False}
Nearest counterfactual sample:	 {x0 : 2.3777333663023392, x1 : -3.2192673995464367, y: True} (verified)
Minimum counterfactual distance: 0.119170
