

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 0.135125 in range [0.000000, 0.270249]...	no solution exists.
	Iteration #003: testing norm threshold 0.202687 in range [0.135125, 0.270249]...	no solution exists.
	Iteration #004: testing norm threshold 0.236468 in range [0.202687, 0.270249]...	no solution exists.
	Iteration #005: testing norm threshold 0.253358 in range [0.236468, 0.270249]...	no solution exists.
	Iteration #006: testing norm threshold 0.261804 in range [0.253358, 0.270249]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257581 in range [0.253358, 0.261804]...	no solution exists.
	Iteration #008: testing norm threshold 0.259692 in range [0.257581, 0.261804]...	solution exists & found.
	Iteration #009: testing norm threshold 0.258637 in range [0.257581, 0.259693]...	solution exists & found.
	Iteration #010: testing norm threshold 0.258109 in range [0.257581, 0.258637]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257845 in range [0.257581, 0.258109]...	solution exists & found.
	Iteration #012: testing norm threshold 0.257713 in range [0.257581, 0.257845]...	no solution exists.
	Iteration #013: testing norm threshold 0.257779 in range [0.257713, 0.257845]...	no solution exists.
	Iteration #014: testing norm threshold 0.257812 in range [0.257779, 0.257845]...	no solution exists.
	Iteration #015: testing norm threshold 0.257829 in range [0.257812, 0.257845]...	no solution exists.
	Iteration #016: testing norm threshold 0.257837 in range [0.257829, 0.257845]...	no solution exists.


Factual sample: 		 {x0 : -3.509250309366449, x1 : -3.603958420972992, y: False}
Nearest counterfactual sample:	 {x0 : 2.7911199496931145, x1 : -3.603958420972992, y: True} (verified)
Minimum counterfactual distance: 0.257845
