

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


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 0.177911 in range [0.000000, 0.355822]...	no solution exists.
	Iteration #003: testing norm threshold 0.266867 in range [0.177911, 0.355822]...	no solution exists.
	Iteration #004: testing norm threshold 0.311344 in range [0.266867, 0.355822]...	solution exists & found.
	Iteration #005: testing norm threshold 0.277540 in range [0.266867, 0.288214]...	solution exists & found.
	Iteration #006: testing norm threshold 0.272203 in range [0.266867, 0.277540]...	no solution exists.
	Iteration #007: testing norm threshold 0.274872 in range [0.272203, 0.277540]...	no solution exists.
	Iteration #008: testing norm threshold 0.276206 in range [0.274872, 0.277540]...	solution exists & found.
	Iteration #009: testing norm threshold 0.275539 in range [0.274872, 0.276206]...	solution exists & found.
	Iteration #010: testing norm threshold 0.275205 in range [0.274872, 0.275539]...	no solution exists.
	Iteration #011: testing norm threshold 0.275372 in range [0.275205, 0.275539]...	solution exists & found.
	Iteration #012: testing norm threshold 0.275289 in range [0.275205, 0.275372]...	no solution exists.
	Iteration #013: testing norm threshold 0.275331 in range [0.275289, 0.275372]...	solution exists & found.
	Iteration #014: testing norm threshold 0.275310 in range [0.275289, 0.275331]...	solution exists & found.
	Iteration #015: testing norm threshold 0.275299 in range [0.275289, 0.275310]...	solution exists & found.
	Iteration #016: testing norm threshold 0.275294 in range [0.275289, 0.275300]...	solution exists & found.


Factual sample: 		 {x0 : -4.264432908639742, x1 : -2.699439347314873, y: False}
Nearest counterfactual sample:	 {x0 : 2.2978456205059334, x1 : -2.699138784135835, y: True} (verified)
Minimum counterfactual distance: 0.275294
