

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


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 0.090070 in range [0.000000, 0.180141]...	no solution exists.
	Iteration #003: testing norm threshold 0.135105 in range [0.090070, 0.180141]...	no solution exists.
	Iteration #004: testing norm threshold 0.157623 in range [0.135105, 0.180141]...	no solution exists.
	Iteration #005: testing norm threshold 0.168882 in range [0.157623, 0.180141]...	solution exists & found.
	Iteration #006: testing norm threshold 0.163252 in range [0.157623, 0.168882]...	no solution exists.
	Iteration #007: testing norm threshold 0.166067 in range [0.163252, 0.168882]...	no solution exists.
	Iteration #008: testing norm threshold 0.167475 in range [0.166067, 0.168882]...	no solution exists.
	Iteration #009: testing norm threshold 0.168178 in range [0.167475, 0.168882]...	solution exists & found.
	Iteration #010: testing norm threshold 0.167826 in range [0.167475, 0.168178]...	solution exists & found.
	Iteration #011: testing norm threshold 0.167651 in range [0.167475, 0.167827]...	no solution exists.
	Iteration #012: testing norm threshold 0.167739 in range [0.167651, 0.167827]...	solution exists & found.
	Iteration #013: testing norm threshold 0.167695 in range [0.167651, 0.167739]...	no solution exists.
	Iteration #014: testing norm threshold 0.167717 in range [0.167695, 0.167739]...	no solution exists.
	Iteration #015: testing norm threshold 0.167728 in range [0.167717, 0.167739]...	no solution exists.
	Iteration #016: testing norm threshold 0.167733 in range [0.167728, 0.167739]...	solution exists & found.


Factual sample: 		 {x0 : -2.2265571440109992, x1 : -2.467422196052348, y: False}
Nearest counterfactual sample:	 {x0 : 1.871935322431109, x1 : -2.467438865509664, y: True} (verified)
Minimum counterfactual distance: 0.167733
