

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


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 0.149074 in range [0.000000, 0.298147]...	no solution exists.
	Iteration #003: testing norm threshold 0.223610 in range [0.149074, 0.298147]...	no solution exists.
	Iteration #004: testing norm threshold 0.260879 in range [0.223610, 0.298147]...	solution exists & found.
	Iteration #005: testing norm threshold 0.242245 in range [0.223610, 0.260879]...	solution exists & found.
	Iteration #006: testing norm threshold 0.232927 in range [0.223610, 0.242245]...	solution exists & found.
	Iteration #007: testing norm threshold 0.228269 in range [0.223610, 0.232928]...	no solution exists.
	Iteration #008: testing norm threshold 0.230598 in range [0.228269, 0.232928]...	solution exists & found.
	Iteration #009: testing norm threshold 0.229434 in range [0.228269, 0.230598]...	solution exists & found.
	Iteration #010: testing norm threshold 0.228851 in range [0.228269, 0.229434]...	solution exists & found.
	Iteration #011: testing norm threshold 0.228560 in range [0.228269, 0.228851]...	no solution exists.
	Iteration #012: testing norm threshold 0.228706 in range [0.228560, 0.228851]...	solution exists & found.
	Iteration #013: testing norm threshold 0.228633 in range [0.228560, 0.228706]...	solution exists & found.
	Iteration #014: testing norm threshold 0.228597 in range [0.228560, 0.228633]...	solution exists & found.
	Iteration #015: testing norm threshold 0.228578 in range [0.228560, 0.228597]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228569 in range [0.228560, 0.228579]...	no solution exists.


Factual sample: 		 {x0 : -3.1337501811465422, x1 : -2.720028581346696, y: False}
Nearest counterfactual sample:	 {x0 : 2.3148537778407627, x1 : -2.7196856988104434, y: True} (verified)
Minimum counterfactual distance: 0.228578
