

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


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 0.215660 in range [0.191814, 0.239506]...	no solution exists.
	Iteration #006: testing norm threshold 0.227583 in range [0.215660, 0.239506]...	solution exists & found.
	Iteration #007: testing norm threshold 0.221622 in range [0.215660, 0.227583]...	no solution exists.
	Iteration #008: testing norm threshold 0.224603 in range [0.221622, 0.227583]...	no solution exists.
	Iteration #009: testing norm threshold 0.226093 in range [0.224603, 0.227583]...	no solution exists.
	Iteration #010: testing norm threshold 0.226838 in range [0.226093, 0.227583]...	no solution exists.
	Iteration #011: testing norm threshold 0.227211 in range [0.226838, 0.227583]...	no solution exists.
	Iteration #012: testing norm threshold 0.227397 in range [0.227211, 0.227583]...	solution exists & found.
	Iteration #013: testing norm threshold 0.227304 in range [0.227211, 0.227397]...	solution exists & found.
	Iteration #014: testing norm threshold 0.227257 in range [0.227211, 0.227304]...	no solution exists.
	Iteration #015: testing norm threshold 0.227281 in range [0.227257, 0.227304]...	no solution exists.
	Iteration #016: testing norm threshold 0.227292 in range [0.227281, 0.227304]...	no solution exists.
	Iteration #017: testing norm threshold 0.227298 in range [0.227292, 0.227304]...	solution exists & found.


Factual sample: 		 {x0 : -2.0719991950990244, x1 : -4.655290557028148, y: False}
Nearest counterfactual sample:	 {x0 : 3.4819235091564726, x1 : -4.655251247313699, y: True} (verified)
Minimum counterfactual distance: 0.227298
