

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


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 0.166025 in range [0.000000, 0.332049]...	no solution exists.
	Iteration #003: testing norm threshold 0.249037 in range [0.166025, 0.332049]...	solution exists & found.
	Iteration #004: testing norm threshold 0.201860 in range [0.166025, 0.237695]...	no solution exists.
	Iteration #005: testing norm threshold 0.219778 in range [0.201860, 0.237695]...	no solution exists.
	Iteration #006: testing norm threshold 0.228736 in range [0.219778, 0.237695]...	solution exists & found.
	Iteration #007: testing norm threshold 0.224257 in range [0.219778, 0.228736]...	no solution exists.
	Iteration #008: testing norm threshold 0.226497 in range [0.224257, 0.228736]...	solution exists & found.
	Iteration #009: testing norm threshold 0.225377 in range [0.224257, 0.226497]...	no solution exists.
	Iteration #010: testing norm threshold 0.225937 in range [0.225377, 0.226497]...	solution exists & found.
	Iteration #011: testing norm threshold 0.225657 in range [0.225377, 0.225937]...	solution exists & found.
	Iteration #012: testing norm threshold 0.225517 in range [0.225377, 0.225657]...	solution exists & found.
	Iteration #013: testing norm threshold 0.225447 in range [0.225377, 0.225517]...	no solution exists.
	Iteration #014: testing norm threshold 0.225482 in range [0.225447, 0.225517]...	no solution exists.
	Iteration #015: testing norm threshold 0.225500 in range [0.225482, 0.225517]...	solution exists & found.
	Iteration #016: testing norm threshold 0.225491 in range [0.225482, 0.225500]...	solution exists & found.


Factual sample: 		 {x0 : -2.743553241608724, x1 : -3.724404709747621, y: False}
Nearest counterfactual sample:	 {x0 : 2.766040299871758, x1 : -3.7242108635441826, y: True} (verified)
Minimum counterfactual distance: 0.225491
