

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


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 0.139890 in range [0.000000, 0.279781]...	no solution exists.
	Iteration #003: testing norm threshold 0.209836 in range [0.139890, 0.279781]...	no solution exists.
	Iteration #004: testing norm threshold 0.244808 in range [0.209836, 0.279781]...	no solution exists.
	Iteration #005: testing norm threshold 0.262295 in range [0.244808, 0.279781]...	no solution exists.
	Iteration #006: testing norm threshold 0.271038 in range [0.262295, 0.279781]...	solution exists & found.
	Iteration #007: testing norm threshold 0.266666 in range [0.262295, 0.271038]...	no solution exists.
	Iteration #008: testing norm threshold 0.268852 in range [0.266666, 0.271038]...	solution exists & found.
	Iteration #009: testing norm threshold 0.267759 in range [0.266666, 0.268852]...	solution exists & found.
	Iteration #010: testing norm threshold 0.267213 in range [0.266666, 0.267759]...	solution exists & found.
	Iteration #011: testing norm threshold 0.266939 in range [0.266666, 0.267213]...	solution exists & found.
	Iteration #012: testing norm threshold 0.266803 in range [0.266666, 0.266940]...	no solution exists.
	Iteration #013: testing norm threshold 0.266871 in range [0.266803, 0.266940]...	solution exists & found.
	Iteration #014: testing norm threshold 0.266837 in range [0.266803, 0.266871]...	no solution exists.
	Iteration #015: testing norm threshold 0.266854 in range [0.266837, 0.266871]...	no solution exists.
	Iteration #016: testing norm threshold 0.266863 in range [0.266854, 0.266871]...	solution exists & found.


Factual sample: 		 {x0 : -4.031683504615346, x1 : -2.73778110345364, y: False}
Nearest counterfactual sample:	 {x0 : 2.3295133761332276, x1 : -2.7373934654707717, y: True} (verified)
Minimum counterfactual distance: 0.266863
