

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


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 0.127733 in range [0.000000, 0.255467]...	no solution exists.
	Iteration #003: testing norm threshold 0.191600 in range [0.127733, 0.255467]...	no solution exists.
	Iteration #004: testing norm threshold 0.223534 in range [0.191600, 0.255467]...	no solution exists.
	Iteration #005: testing norm threshold 0.239500 in range [0.223534, 0.255467]...	no solution exists.
	Iteration #006: testing norm threshold 0.247484 in range [0.239500, 0.255467]...	solution exists & found.
	Iteration #007: testing norm threshold 0.243492 in range [0.239500, 0.247484]...	solution exists & found.
	Iteration #008: testing norm threshold 0.241496 in range [0.239500, 0.243492]...	no solution exists.
	Iteration #009: testing norm threshold 0.242494 in range [0.241496, 0.243492]...	no solution exists.
	Iteration #010: testing norm threshold 0.242993 in range [0.242494, 0.243492]...	solution exists & found.
	Iteration #011: testing norm threshold 0.242744 in range [0.242494, 0.242993]...	solution exists & found.
	Iteration #012: testing norm threshold 0.242619 in range [0.242494, 0.242744]...	solution exists & found.
	Iteration #013: testing norm threshold 0.242557 in range [0.242494, 0.242619]...	solution exists & found.
	Iteration #014: testing norm threshold 0.242525 in range [0.242494, 0.242557]...	no solution exists.
	Iteration #015: testing norm threshold 0.242541 in range [0.242525, 0.242557]...	no solution exists.
	Iteration #016: testing norm threshold 0.242549 in range [0.242541, 0.242557]...	solution exists & found.


Factual sample: 		 {x0 : -2.9046540536616225, x1 : -3.399423682738865, y: False}
Nearest counterfactual sample:	 {x0 : 2.8772714938411386, x1 : -3.399484658745991, y: True} (verified)
Minimum counterfactual distance: 0.242549
