

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


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 0.191157 in range [0.000000, 0.382314]...	no solution exists.
	Iteration #003: testing norm threshold 0.286735 in range [0.191157, 0.382314]...	solution exists & found.
	Iteration #004: testing norm threshold 0.238946 in range [0.191157, 0.286736]...	no solution exists.
	Iteration #005: testing norm threshold 0.262841 in range [0.238946, 0.286736]...	no solution exists.
	Iteration #006: testing norm threshold 0.274788 in range [0.262841, 0.286736]...	solution exists & found.
	Iteration #007: testing norm threshold 0.268815 in range [0.262841, 0.274788]...	no solution exists.
	Iteration #008: testing norm threshold 0.271801 in range [0.268815, 0.274788]...	no solution exists.
	Iteration #009: testing norm threshold 0.273295 in range [0.271801, 0.274788]...	solution exists & found.
	Iteration #010: testing norm threshold 0.272548 in range [0.271801, 0.273295]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272175 in range [0.271801, 0.272548]...	no solution exists.
	Iteration #012: testing norm threshold 0.272362 in range [0.272175, 0.272548]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272268 in range [0.272175, 0.272362]...	no solution exists.
	Iteration #014: testing norm threshold 0.272315 in range [0.272268, 0.272362]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272292 in range [0.272268, 0.272315]...	no solution exists.
	Iteration #016: testing norm threshold 0.272303 in range [0.272292, 0.272315]...	solution exists & found.
	Iteration #017: testing norm threshold 0.272298 in range [0.272292, 0.272303]...	no solution exists.


Factual sample: 		 {x0 : -4.511166425358593, x1 : -2.913257952081682, y: False}
Nearest counterfactual sample:	 {x0 : 2.1424868184794383, x1 : -2.913257952081682, y: True} (verified)
Minimum counterfactual distance: 0.272303
