

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


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 0.116931 in range [0.000000, 0.233861]...	no solution exists.
	Iteration #003: testing norm threshold 0.175396 in range [0.116931, 0.233861]...	no solution exists.
	Iteration #004: testing norm threshold 0.204629 in range [0.175396, 0.233861]...	solution exists & found.
	Iteration #005: testing norm threshold 0.190012 in range [0.175396, 0.204629]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182704 in range [0.175396, 0.190013]...	solution exists & found.
	Iteration #007: testing norm threshold 0.179050 in range [0.175396, 0.182704]...	solution exists & found.
	Iteration #008: testing norm threshold 0.177223 in range [0.175396, 0.179050]...	solution exists & found.
	Iteration #009: testing norm threshold 0.176310 in range [0.175396, 0.177223]...	no solution exists.
	Iteration #010: testing norm threshold 0.176766 in range [0.176310, 0.177223]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176538 in range [0.176310, 0.176767]...	solution exists & found.
	Iteration #012: testing norm threshold 0.176424 in range [0.176310, 0.176538]...	no solution exists.
	Iteration #013: testing norm threshold 0.176481 in range [0.176424, 0.176538]...	no solution exists.
	Iteration #014: testing norm threshold 0.176510 in range [0.176481, 0.176538]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176495 in range [0.176481, 0.176510]...	no solution exists.
	Iteration #016: testing norm threshold 0.176503 in range [0.176495, 0.176510]...	solution exists & found.


Factual sample: 		 {x0 : -2.8624827460426823, x1 : -1.5476135765323236, y: False}
Nearest counterfactual sample:	 {x0 : 1.3450569369899288, x1 : -1.5476201408892285, y: True} (verified)
Minimum counterfactual distance: 0.176503
