

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


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 0.159270 in range [0.000000, 0.318541]...	no solution exists.
	Iteration #003: testing norm threshold 0.238906 in range [0.159270, 0.318541]...	solution exists & found.
	Iteration #004: testing norm threshold 0.199088 in range [0.159270, 0.238906]...	no solution exists.
	Iteration #005: testing norm threshold 0.218997 in range [0.199088, 0.238906]...	solution exists & found.
	Iteration #006: testing norm threshold 0.209043 in range [0.199088, 0.218997]...	solution exists & found.
	Iteration #007: testing norm threshold 0.204065 in range [0.199088, 0.209043]...	no solution exists.
	Iteration #008: testing norm threshold 0.206554 in range [0.204065, 0.209043]...	no solution exists.
	Iteration #009: testing norm threshold 0.207798 in range [0.206554, 0.209043]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207176 in range [0.206554, 0.207798]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206865 in range [0.206554, 0.207176]...	no solution exists.
	Iteration #012: testing norm threshold 0.207021 in range [0.206865, 0.207176]...	no solution exists.
	Iteration #013: testing norm threshold 0.207099 in range [0.207021, 0.207176]...	no solution exists.
	Iteration #014: testing norm threshold 0.207137 in range [0.207099, 0.207176]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207118 in range [0.207099, 0.207138]...	no solution exists.
	Iteration #016: testing norm threshold 0.207128 in range [0.207118, 0.207138]...	no solution exists.


Factual sample: 		 {x0 : -3.110625835708027, x1 : -2.130102290691429, y: False}
Nearest counterfactual sample:	 {x0 : 1.8266150001959314, x1 : -2.129522193274427, y: True} (verified)
Minimum counterfactual distance: 0.207137
