

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.114293 in range [0.000000, 0.228585]...	no solution exists.
	Iteration #003: testing norm threshold 0.171439 in range [0.114293, 0.228585]...	no solution exists.
	Iteration #004: testing norm threshold 0.200012 in range [0.171439, 0.228585]...	no solution exists.
	Iteration #005: testing norm threshold 0.214299 in range [0.200012, 0.228585]...	no solution exists.
	Iteration #006: testing norm threshold 0.221442 in range [0.214299, 0.228585]...	solution exists & found.
	Iteration #007: testing norm threshold 0.217870 in range [0.214299, 0.221442]...	solution exists & found.
	Iteration #008: testing norm threshold 0.216085 in range [0.214299, 0.217870]...	solution exists & found.
	Iteration #009: testing norm threshold 0.215192 in range [0.214299, 0.216085]...	no solution exists.
	Iteration #010: testing norm threshold 0.215638 in range [0.215192, 0.216085]...	no solution exists.
	Iteration #011: testing norm threshold 0.215861 in range [0.215638, 0.216085]...	solution exists & found.
	Iteration #012: testing norm threshold 0.215750 in range [0.215638, 0.215861]...	solution exists & found.
	Iteration #013: testing norm threshold 0.215694 in range [0.215638, 0.215750]...	solution exists & found.
	Iteration #014: testing norm threshold 0.215666 in range [0.215638, 0.215694]...	solution exists & found.
	Iteration #015: testing norm threshold 0.215652 in range [0.215638, 0.215666]...	no solution exists.
	Iteration #016: testing norm threshold 0.215659 in range [0.215652, 0.215666]...	no solution exists.


Factual sample: 		 {x0 : -3.925288714432461, x1 : -1.3913134428901106, y: False}
Nearest counterfactual sample:	 {x0 : 1.2158554794457013, x1 : -1.3913134428901106, y: True} (verified)
Minimum counterfactual distance: 0.215666
