

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


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 0.158166 in range [0.000000, 0.316333]...	no solution exists.
	Iteration #003: testing norm threshold 0.237249 in range [0.158166, 0.316333]...	no solution exists.
	Iteration #004: testing norm threshold 0.276791 in range [0.237249, 0.316333]...	solution exists & found.
	Iteration #005: testing norm threshold 0.257020 in range [0.237249, 0.276791]...	no solution exists.
	Iteration #006: testing norm threshold 0.266906 in range [0.257020, 0.276791]...	solution exists & found.
	Iteration #007: testing norm threshold 0.261963 in range [0.257020, 0.266906]...	no solution exists.
	Iteration #008: testing norm threshold 0.264434 in range [0.261963, 0.266906]...	no solution exists.
	Iteration #009: testing norm threshold 0.265670 in range [0.264434, 0.266906]...	solution exists & found.
	Iteration #010: testing norm threshold 0.265052 in range [0.264434, 0.265670]...	solution exists & found.
	Iteration #011: testing norm threshold 0.264743 in range [0.264434, 0.265052]...	solution exists & found.
	Iteration #012: testing norm threshold 0.264589 in range [0.264434, 0.264743]...	no solution exists.
	Iteration #013: testing norm threshold 0.264666 in range [0.264589, 0.264743]...	no solution exists.
	Iteration #014: testing norm threshold 0.264705 in range [0.264666, 0.264743]...	solution exists & found.
	Iteration #015: testing norm threshold 0.264686 in range [0.264666, 0.264705]...	solution exists & found.
	Iteration #016: testing norm threshold 0.264676 in range [0.264666, 0.264686]...	solution exists & found.


Factual sample: 		 {x0 : -2.6810937462739988, x1 : -4.307252825467185, y: False}
Nearest counterfactual sample:	 {x0 : 3.628177668360238, x1 : -4.307066016498256, y: True} (verified)
Minimum counterfactual distance: 0.264676
