

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


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 0.192778 in range [0.000000, 0.385556]...	no solution exists.
	Iteration #003: testing norm threshold 0.289167 in range [0.192778, 0.385556]...	solution exists & found.
	Iteration #004: testing norm threshold 0.240973 in range [0.192778, 0.289167]...	no solution exists.
	Iteration #005: testing norm threshold 0.265070 in range [0.240973, 0.289167]...	no solution exists.
	Iteration #006: testing norm threshold 0.277119 in range [0.265070, 0.289167]...	solution exists & found.
	Iteration #007: testing norm threshold 0.271094 in range [0.265070, 0.277119]...	solution exists & found.
	Iteration #008: testing norm threshold 0.268082 in range [0.265070, 0.271094]...	solution exists & found.
	Iteration #009: testing norm threshold 0.266576 in range [0.265070, 0.268082]...	solution exists & found.
	Iteration #010: testing norm threshold 0.265823 in range [0.265070, 0.266576]...	solution exists & found.
	Iteration #011: testing norm threshold 0.265447 in range [0.265070, 0.265823]...	solution exists & found.
	Iteration #012: testing norm threshold 0.265258 in range [0.265070, 0.265447]...	no solution exists.
	Iteration #013: testing norm threshold 0.265352 in range [0.265258, 0.265447]...	no solution exists.
	Iteration #014: testing norm threshold 0.265400 in range [0.265352, 0.265447]...	no solution exists.
	Iteration #015: testing norm threshold 0.265423 in range [0.265400, 0.265447]...	solution exists & found.
	Iteration #016: testing norm threshold 0.265411 in range [0.265400, 0.265423]...	no solution exists.
	Iteration #017: testing norm threshold 0.265417 in range [0.265411, 0.265423]...	solution exists & found.


Factual sample: 		 {x0 : -3.858489217932049, x1 : -2.905555940948882, y: False}
Nearest counterfactual sample:	 {x0 : 2.468448906057683, x1 : -2.9053630178515255, y: True} (verified)
Minimum counterfactual distance: 0.265417
