

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


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 0.185553 in range [0.000000, 0.371106]...	no solution exists.
	Iteration #003: testing norm threshold 0.278329 in range [0.185553, 0.371106]...	no solution exists.
	Iteration #004: testing norm threshold 0.324718 in range [0.278329, 0.371106]...	solution exists & found.
	Iteration #005: testing norm threshold 0.289462 in range [0.278329, 0.300594]...	solution exists & found.
	Iteration #006: testing norm threshold 0.283896 in range [0.278329, 0.289462]...	no solution exists.
	Iteration #007: testing norm threshold 0.286679 in range [0.283896, 0.289462]...	no solution exists.
	Iteration #008: testing norm threshold 0.288070 in range [0.286679, 0.289462]...	solution exists & found.
	Iteration #009: testing norm threshold 0.287374 in range [0.286679, 0.288070]...	no solution exists.
	Iteration #010: testing norm threshold 0.287722 in range [0.287374, 0.288070]...	solution exists & found.
	Iteration #011: testing norm threshold 0.287548 in range [0.287374, 0.287722]...	no solution exists.
	Iteration #012: testing norm threshold 0.287635 in range [0.287548, 0.287722]...	no solution exists.
	Iteration #013: testing norm threshold 0.287679 in range [0.287635, 0.287722]...	solution exists & found.
	Iteration #014: testing norm threshold 0.287657 in range [0.287635, 0.287679]...	no solution exists.
	Iteration #015: testing norm threshold 0.287668 in range [0.287657, 0.287679]...	no solution exists.
	Iteration #016: testing norm threshold 0.287674 in range [0.287668, 0.287679]...	solution exists & found.


Factual sample: 		 {x0 : -4.009841991155833, x1 : -3.363840202144619, y: False}
Nearest counterfactual sample:	 {x0 : 2.847803888261938, x1 : -3.3638825945118462, y: True} (verified)
Minimum counterfactual distance: 0.287674
