

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


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 0.146576 in range [0.000000, 0.293151]...	no solution exists.
	Iteration #003: testing norm threshold 0.219864 in range [0.146576, 0.293151]...	solution exists & found.
	Iteration #004: testing norm threshold 0.160658 in range [0.146576, 0.174740]...	no solution exists.
	Iteration #005: testing norm threshold 0.167699 in range [0.160658, 0.174740]...	solution exists & found.
	Iteration #006: testing norm threshold 0.164178 in range [0.160658, 0.167699]...	solution exists & found.
	Iteration #007: testing norm threshold 0.162418 in range [0.160658, 0.164178]...	no solution exists.
	Iteration #008: testing norm threshold 0.163298 in range [0.162418, 0.164178]...	solution exists & found.
	Iteration #009: testing norm threshold 0.162858 in range [0.162418, 0.163298]...	solution exists & found.
	Iteration #010: testing norm threshold 0.162638 in range [0.162418, 0.162858]...	solution exists & found.
	Iteration #011: testing norm threshold 0.162528 in range [0.162418, 0.162638]...	no solution exists.
	Iteration #012: testing norm threshold 0.162583 in range [0.162528, 0.162638]...	solution exists & found.
	Iteration #013: testing norm threshold 0.162556 in range [0.162528, 0.162583]...	solution exists & found.
	Iteration #014: testing norm threshold 0.162542 in range [0.162528, 0.162556]...	solution exists & found.
	Iteration #015: testing norm threshold 0.162535 in range [0.162528, 0.162542]...	solution exists & found.


Factual sample: 		 {x0 : -1.9196240148926345, x1 : -2.795395193423812, y: False}
Nearest counterfactual sample:	 {x0 : 2.0518241042171717, x1 : -2.7954410661481788, y: True} (verified)
Minimum counterfactual distance: 0.162535
