

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


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 0.113608 in range [0.000000, 0.227217]...	no solution exists.
	Iteration #003: testing norm threshold 0.170413 in range [0.113608, 0.227217]...	no solution exists.
	Iteration #004: testing norm threshold 0.198815 in range [0.170413, 0.227217]...	no solution exists.
	Iteration #005: testing norm threshold 0.213016 in range [0.198815, 0.227217]...	no solution exists.
	Iteration #006: testing norm threshold 0.220116 in range [0.213016, 0.227217]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216566 in range [0.213016, 0.220116]...	solution exists & found.
	Iteration #008: testing norm threshold 0.214791 in range [0.213016, 0.216566]...	solution exists & found.
	Iteration #009: testing norm threshold 0.213903 in range [0.213016, 0.214791]...	no solution exists.
	Iteration #010: testing norm threshold 0.214347 in range [0.213903, 0.214791]...	solution exists & found.
	Iteration #011: testing norm threshold 0.214125 in range [0.213903, 0.214347]...	no solution exists.
	Iteration #012: testing norm threshold 0.214236 in range [0.214125, 0.214347]...	no solution exists.
	Iteration #013: testing norm threshold 0.214292 in range [0.214236, 0.214347]...	no solution exists.
	Iteration #014: testing norm threshold 0.214320 in range [0.214292, 0.214347]...	solution exists & found.
	Iteration #015: testing norm threshold 0.214306 in range [0.214292, 0.214320]...	solution exists & found.
	Iteration #016: testing norm threshold 0.214299 in range [0.214292, 0.214306]...	solution exists & found.


Factual sample: 		 {x0 : -2.7531149572053235, x1 : -2.7686280780830046, y: False}
Nearest counterfactual sample:	 {x0 : 2.355370684487107, x1 : -2.768690351341986, y: True} (verified)
Minimum counterfactual distance: 0.214299
