

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


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 0.179494 in range [0.000000, 0.358987]...	no solution exists.
	Iteration #003: testing norm threshold 0.269240 in range [0.179494, 0.358987]...	solution exists & found.
	Iteration #004: testing norm threshold 0.224367 in range [0.179494, 0.269240]...	no solution exists.
	Iteration #005: testing norm threshold 0.246804 in range [0.224367, 0.269240]...	no solution exists.
	Iteration #006: testing norm threshold 0.258022 in range [0.246804, 0.269240]...	solution exists & found.
	Iteration #007: testing norm threshold 0.252413 in range [0.246804, 0.258022]...	no solution exists.
	Iteration #008: testing norm threshold 0.255218 in range [0.252413, 0.258022]...	no solution exists.
	Iteration #009: testing norm threshold 0.256620 in range [0.255218, 0.258022]...	no solution exists.
	Iteration #010: testing norm threshold 0.257321 in range [0.256620, 0.258022]...	no solution exists.
	Iteration #011: testing norm threshold 0.257672 in range [0.257321, 0.258022]...	no solution exists.
	Iteration #012: testing norm threshold 0.257847 in range [0.257672, 0.258022]...	solution exists & found.
	Iteration #013: testing norm threshold 0.257759 in range [0.257672, 0.257847]...	no solution exists.
	Iteration #014: testing norm threshold 0.257803 in range [0.257759, 0.257847]...	no solution exists.
	Iteration #015: testing norm threshold 0.257825 in range [0.257803, 0.257847]...	no solution exists.
	Iteration #016: testing norm threshold 0.257836 in range [0.257825, 0.257847]...	no solution exists.
	Iteration #017: testing norm threshold 0.257842 in range [0.257836, 0.257847]...	solution exists & found.


Factual sample: 		 {x0 : -3.509250309366449, x1 : -3.603958420972992, y: False}
Nearest counterfactual sample:	 {x0 : 2.7910316596912224, x1 : -3.603958420972992, y: True} (verified)
Minimum counterfactual distance: 0.257842
