

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


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 0.131174 in range [0.000000, 0.262348]...	no solution exists.
	Iteration #003: testing norm threshold 0.196761 in range [0.131174, 0.262348]...	no solution exists.
	Iteration #004: testing norm threshold 0.229554 in range [0.196761, 0.262348]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213157 in range [0.196761, 0.229554]...	solution exists & found.
	Iteration #006: testing norm threshold 0.204959 in range [0.196761, 0.213158]...	no solution exists.
	Iteration #007: testing norm threshold 0.209058 in range [0.204959, 0.213158]...	no solution exists.
	Iteration #008: testing norm threshold 0.211108 in range [0.209058, 0.213158]...	solution exists & found.
	Iteration #009: testing norm threshold 0.210083 in range [0.209058, 0.211108]...	no solution exists.
	Iteration #010: testing norm threshold 0.210596 in range [0.210083, 0.211108]...	no solution exists.
	Iteration #011: testing norm threshold 0.210852 in range [0.210596, 0.211108]...	solution exists & found.
	Iteration #012: testing norm threshold 0.210724 in range [0.210596, 0.210852]...	solution exists & found.
	Iteration #013: testing norm threshold 0.210660 in range [0.210596, 0.210724]...	solution exists & found.
	Iteration #014: testing norm threshold 0.210628 in range [0.210596, 0.210660]...	no solution exists.
	Iteration #015: testing norm threshold 0.210644 in range [0.210628, 0.210660]...	no solution exists.
	Iteration #016: testing norm threshold 0.210652 in range [0.210644, 0.210660]...	solution exists & found.


Factual sample: 		 {x0 : -1.7619247037748236, x1 : -3.861535967595344, y: False}
Nearest counterfactual sample:	 {x0 : 3.2596185345554067, x1 : -3.861602645248986, y: True} (verified)
Minimum counterfactual distance: 0.210652
