

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


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 0.176163 in range [0.000000, 0.352326]...	no solution exists.
	Iteration #003: testing norm threshold 0.264244 in range [0.176163, 0.352326]...	no solution exists.
	Iteration #004: testing norm threshold 0.308285 in range [0.264244, 0.352326]...	no solution exists.
	Iteration #005: testing norm threshold 0.330305 in range [0.308285, 0.352326]...	solution exists & found.
	Iteration #006: testing norm threshold 0.319295 in range [0.308285, 0.330306]...	solution exists & found.
	Iteration #007: testing norm threshold 0.313790 in range [0.308285, 0.319295]...	solution exists & found.
	Iteration #008: testing norm threshold 0.311038 in range [0.308285, 0.313790]...	solution exists & found.
	Iteration #009: testing norm threshold 0.309661 in range [0.308285, 0.311038]...	solution exists & found.
	Iteration #010: testing norm threshold 0.308973 in range [0.308285, 0.309662]...	no solution exists.
	Iteration #011: testing norm threshold 0.309317 in range [0.308973, 0.309662]...	solution exists & found.
	Iteration #012: testing norm threshold 0.309145 in range [0.308973, 0.309317]...	no solution exists.
	Iteration #013: testing norm threshold 0.309231 in range [0.309145, 0.309317]...	no solution exists.
	Iteration #014: testing norm threshold 0.309274 in range [0.309231, 0.309317]...	solution exists & found.
	Iteration #015: testing norm threshold 0.309253 in range [0.309231, 0.309275]...	no solution exists.
	Iteration #016: testing norm threshold 0.309264 in range [0.309253, 0.309275]...	no solution exists.
	Iteration #017: testing norm threshold 0.309269 in range [0.309264, 0.309275]...	solution exists & found.


Factual sample: 		 {x0 : -4.618200500938634, x1 : -3.2508337606651474, y: False}
Nearest counterfactual sample:	 {x0 : 2.7542950931442745, x1 : -3.2508337606651474, y: True} (verified)
Minimum counterfactual distance: 0.309269
