

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


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 0.152460 in range [0.000000, 0.304921]...	no solution exists.
	Iteration #003: testing norm threshold 0.228690 in range [0.152460, 0.304921]...	no solution exists.
	Iteration #004: testing norm threshold 0.266806 in range [0.228690, 0.304921]...	no solution exists.
	Iteration #005: testing norm threshold 0.285863 in range [0.266806, 0.304921]...	no solution exists.
	Iteration #006: testing norm threshold 0.295392 in range [0.285863, 0.304921]...	solution exists & found.
	Iteration #007: testing norm threshold 0.290628 in range [0.285863, 0.295392]...	no solution exists.
	Iteration #008: testing norm threshold 0.293010 in range [0.290628, 0.295392]...	solution exists & found.
	Iteration #009: testing norm threshold 0.291819 in range [0.290628, 0.293010]...	no solution exists.
	Iteration #010: testing norm threshold 0.292414 in range [0.291819, 0.293010]...	solution exists & found.
	Iteration #011: testing norm threshold 0.292117 in range [0.291819, 0.292414]...	solution exists & found.
	Iteration #012: testing norm threshold 0.291968 in range [0.291819, 0.292117]...	no solution exists.
	Iteration #013: testing norm threshold 0.292042 in range [0.291968, 0.292117]...	solution exists & found.
	Iteration #014: testing norm threshold 0.292005 in range [0.291968, 0.292042]...	solution exists & found.
	Iteration #015: testing norm threshold 0.291986 in range [0.291968, 0.292005]...	no solution exists.
	Iteration #016: testing norm threshold 0.291996 in range [0.291986, 0.292005]...	no solution exists.


Factual sample: 		 {x0 : -4.6666875584893655, x1 : -2.694620035714889, y: False}
Nearest counterfactual sample:	 {x0 : 2.294170065936367, x1 : -2.694704178932932, y: True} (verified)
Minimum counterfactual distance: 0.292005
