

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


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 0.112636 in range [0.000000, 0.225272]...	no solution exists.
	Iteration #003: testing norm threshold 0.168954 in range [0.112636, 0.225272]...	no solution exists.
	Iteration #004: testing norm threshold 0.197113 in range [0.168954, 0.225272]...	solution exists & found.
	Iteration #005: testing norm threshold 0.183033 in range [0.168954, 0.197113]...	no solution exists.
	Iteration #006: testing norm threshold 0.190073 in range [0.183033, 0.197113]...	solution exists & found.
	Iteration #007: testing norm threshold 0.186553 in range [0.183033, 0.190073]...	solution exists & found.
	Iteration #008: testing norm threshold 0.184793 in range [0.183033, 0.186553]...	no solution exists.
	Iteration #009: testing norm threshold 0.185673 in range [0.184793, 0.186553]...	solution exists & found.
	Iteration #010: testing norm threshold 0.185233 in range [0.184793, 0.185673]...	solution exists & found.
	Iteration #011: testing norm threshold 0.185013 in range [0.184793, 0.185233]...	solution exists & found.
	Iteration #012: testing norm threshold 0.184903 in range [0.184793, 0.185014]...	solution exists & found.
	Iteration #013: testing norm threshold 0.184848 in range [0.184793, 0.184904]...	no solution exists.
	Iteration #014: testing norm threshold 0.184876 in range [0.184848, 0.184904]...	no solution exists.
	Iteration #015: testing norm threshold 0.184890 in range [0.184876, 0.184904]...	solution exists & found.
	Iteration #016: testing norm threshold 0.184883 in range [0.184876, 0.184890]...	no solution exists.


Factual sample: 		 {x0 : -1.9250783773092488, x1 : -2.922234972121704, y: False}
Nearest counterfactual sample:	 {x0 : 2.4823909421126187, x1 : -2.9222488925038097, y: True} (verified)
Minimum counterfactual distance: 0.184890
