

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


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 0.135893 in range [0.000000, 0.271787]...	no solution exists.
	Iteration #003: testing norm threshold 0.203840 in range [0.135893, 0.271787]...	no solution exists.
	Iteration #004: testing norm threshold 0.237813 in range [0.203840, 0.271787]...	no solution exists.
	Iteration #005: testing norm threshold 0.254800 in range [0.237813, 0.271787]...	no solution exists.
	Iteration #006: testing norm threshold 0.263293 in range [0.254800, 0.271787]...	solution exists & found.
	Iteration #007: testing norm threshold 0.259047 in range [0.254800, 0.263293]...	no solution exists.
	Iteration #008: testing norm threshold 0.261170 in range [0.259047, 0.263293]...	solution exists & found.
	Iteration #009: testing norm threshold 0.260108 in range [0.259047, 0.261170]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259577 in range [0.259047, 0.260108]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259312 in range [0.259047, 0.259578]...	no solution exists.
	Iteration #012: testing norm threshold 0.259445 in range [0.259312, 0.259578]...	no solution exists.
	Iteration #013: testing norm threshold 0.259511 in range [0.259445, 0.259578]...	no solution exists.
	Iteration #014: testing norm threshold 0.259544 in range [0.259511, 0.259578]...	no solution exists.
	Iteration #015: testing norm threshold 0.259561 in range [0.259544, 0.259578]...	no solution exists.
	Iteration #016: testing norm threshold 0.259569 in range [0.259561, 0.259578]...	no solution exists.


Factual sample: 		 {x0 : -3.214884173068361, x1 : -4.194757129393818, y: False}
Nearest counterfactual sample:	 {x0 : 3.1278083017660125, x1 : -4.194750972343567, y: True} (verified)
Minimum counterfactual distance: 0.259577
