

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


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 0.154344 in range [0.000000, 0.308688]...	no solution exists.
	Iteration #003: testing norm threshold 0.231516 in range [0.154344, 0.308688]...	solution exists & found.
	Iteration #004: testing norm threshold 0.187658 in range [0.154344, 0.220972]...	no solution exists.
	Iteration #005: testing norm threshold 0.204315 in range [0.187658, 0.220972]...	no solution exists.
	Iteration #006: testing norm threshold 0.212644 in range [0.204315, 0.220972]...	solution exists & found.
	Iteration #007: testing norm threshold 0.208479 in range [0.204315, 0.212644]...	no solution exists.
	Iteration #008: testing norm threshold 0.210561 in range [0.208479, 0.212644]...	solution exists & found.
	Iteration #009: testing norm threshold 0.209520 in range [0.208479, 0.210562]...	solution exists & found.
	Iteration #010: testing norm threshold 0.209000 in range [0.208479, 0.209521]...	solution exists & found.
	Iteration #011: testing norm threshold 0.208740 in range [0.208479, 0.209000]...	no solution exists.
	Iteration #012: testing norm threshold 0.208870 in range [0.208740, 0.209000]...	solution exists & found.
	Iteration #013: testing norm threshold 0.208805 in range [0.208740, 0.208870]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208772 in range [0.208740, 0.208805]...	solution exists & found.
	Iteration #015: testing norm threshold 0.208756 in range [0.208740, 0.208772]...	no solution exists.
	Iteration #016: testing norm threshold 0.208764 in range [0.208756, 0.208772]...	solution exists & found.


Factual sample: 		 {x0 : -2.910961053988776, x1 : -2.975297332715904, y: False}
Nearest counterfactual sample:	 {x0 : 2.1901312897813328, x1 : -2.975297332715904, y: True} (verified)
Minimum counterfactual distance: 0.208764
