

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


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 0.113661 in range [0.000000, 0.227323]...	no solution exists.
	Iteration #003: testing norm threshold 0.170492 in range [0.113661, 0.227323]...	no solution exists.
	Iteration #004: testing norm threshold 0.198907 in range [0.170492, 0.227323]...	no solution exists.
	Iteration #005: testing norm threshold 0.213115 in range [0.198907, 0.227323]...	no solution exists.
	Iteration #006: testing norm threshold 0.220219 in range [0.213115, 0.227323]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216667 in range [0.213115, 0.220219]...	solution exists & found.
	Iteration #008: testing norm threshold 0.214891 in range [0.213115, 0.216667]...	solution exists & found.
	Iteration #009: testing norm threshold 0.214003 in range [0.213115, 0.214891]...	no solution exists.
	Iteration #010: testing norm threshold 0.214447 in range [0.214003, 0.214891]...	solution exists & found.
	Iteration #011: testing norm threshold 0.214225 in range [0.214003, 0.214447]...	no solution exists.
	Iteration #012: testing norm threshold 0.214336 in range [0.214225, 0.214447]...	no solution exists.
	Iteration #013: testing norm threshold 0.214392 in range [0.214336, 0.214447]...	no solution exists.
	Iteration #014: testing norm threshold 0.214419 in range [0.214392, 0.214447]...	solution exists & found.
	Iteration #015: testing norm threshold 0.214406 in range [0.214392, 0.214419]...	solution exists & found.
	Iteration #016: testing norm threshold 0.214399 in range [0.214392, 0.214406]...	solution exists & found.


Factual sample: 		 {x0 : -3.99083054458688, x1 : -1.27571740682303, y: False}
Nearest counterfactual sample:	 {x0 : 1.120098220821994, x1 : -1.27571740682303, y: True} (verified)
Minimum counterfactual distance: 0.214399
