

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


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 0.091761 in range [0.000000, 0.183523]...	no solution exists.
	Iteration #003: testing norm threshold 0.137642 in range [0.091761, 0.183523]...	solution exists & found.
	Iteration #004: testing norm threshold 0.114702 in range [0.091761, 0.137642]...	no solution exists.
	Iteration #005: testing norm threshold 0.126172 in range [0.114702, 0.137642]...	solution exists & found.
	Iteration #006: testing norm threshold 0.120437 in range [0.114702, 0.126172]...	solution exists & found.
	Iteration #007: testing norm threshold 0.117569 in range [0.114702, 0.120437]...	no solution exists.
	Iteration #008: testing norm threshold 0.119003 in range [0.117569, 0.120437]...	no solution exists.
	Iteration #009: testing norm threshold 0.119720 in range [0.119003, 0.120437]...	solution exists & found.
	Iteration #010: testing norm threshold 0.119362 in range [0.119003, 0.119720]...	solution exists & found.
	Iteration #011: testing norm threshold 0.119182 in range [0.119003, 0.119362]...	solution exists & found.
	Iteration #012: testing norm threshold 0.119093 in range [0.119003, 0.119183]...	no solution exists.
	Iteration #013: testing norm threshold 0.119138 in range [0.119093, 0.119183]...	no solution exists.
	Iteration #014: testing norm threshold 0.119160 in range [0.119138, 0.119183]...	no solution exists.
	Iteration #015: testing norm threshold 0.119171 in range [0.119160, 0.119183]...	solution exists & found.
	Iteration #016: testing norm threshold 0.119166 in range [0.119160, 0.119171]...	solution exists & found.


Factual sample: 		 {x0 : -0.5340851525693076, x1 : -3.219213360417987, y: False}
Nearest counterfactual sample:	 {x0 : 2.3776954331186455, x1 : -3.219213360417987, y: True} (verified)
Minimum counterfactual distance: 0.119166
