

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


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 0.179386 in range [0.000000, 0.358773]...	no solution exists.
	Iteration #003: testing norm threshold 0.269079 in range [0.179386, 0.358773]...	solution exists & found.
	Iteration #004: testing norm threshold 0.224233 in range [0.179386, 0.269080]...	no solution exists.
	Iteration #005: testing norm threshold 0.246656 in range [0.224233, 0.269080]...	solution exists & found.
	Iteration #006: testing norm threshold 0.235445 in range [0.224233, 0.246656]...	no solution exists.
	Iteration #007: testing norm threshold 0.241051 in range [0.235445, 0.246656]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238248 in range [0.235445, 0.241051]...	no solution exists.
	Iteration #009: testing norm threshold 0.239649 in range [0.238248, 0.241051]...	no solution exists.
	Iteration #010: testing norm threshold 0.240350 in range [0.239649, 0.241051]...	solution exists & found.
	Iteration #011: testing norm threshold 0.240000 in range [0.239649, 0.240350]...	solution exists & found.
	Iteration #012: testing norm threshold 0.239824 in range [0.239649, 0.240000]...	solution exists & found.
	Iteration #013: testing norm threshold 0.239737 in range [0.239649, 0.239824]...	solution exists & found.
	Iteration #014: testing norm threshold 0.239693 in range [0.239649, 0.239737]...	no solution exists.
	Iteration #015: testing norm threshold 0.239715 in range [0.239693, 0.239737]...	no solution exists.
	Iteration #016: testing norm threshold 0.239726 in range [0.239715, 0.239737]...	solution exists & found.
	Iteration #017: testing norm threshold 0.239720 in range [0.239715, 0.239726]...	solution exists & found.


Factual sample: 		 {x0 : -2.8581849272127684, x1 : -3.374133108133055, y: False}
Nearest counterfactual sample:	 {x0 : 2.8563288267335873, x1 : -3.3741816486700875, y: True} (verified)
Minimum counterfactual distance: 0.239720
