

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


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 0.169439 in range [0.000000, 0.338878]...	no solution exists.
	Iteration #003: testing norm threshold 0.254158 in range [0.169439, 0.338878]...	solution exists & found.
	Iteration #004: testing norm threshold 0.211799 in range [0.169439, 0.254158]...	solution exists & found.
	Iteration #005: testing norm threshold 0.190619 in range [0.169439, 0.211799]...	no solution exists.
	Iteration #006: testing norm threshold 0.201209 in range [0.190619, 0.211799]...	no solution exists.
	Iteration #007: testing norm threshold 0.206504 in range [0.201209, 0.211799]...	no solution exists.
	Iteration #008: testing norm threshold 0.209151 in range [0.206504, 0.211799]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207827 in range [0.206504, 0.209151]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207166 in range [0.206504, 0.207828]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206835 in range [0.206504, 0.207166]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206669 in range [0.206504, 0.206835]...	no solution exists.
	Iteration #013: testing norm threshold 0.206752 in range [0.206669, 0.206835]...	no solution exists.
	Iteration #014: testing norm threshold 0.206793 in range [0.206752, 0.206835]...	no solution exists.
	Iteration #015: testing norm threshold 0.206814 in range [0.206793, 0.206835]...	no solution exists.
	Iteration #016: testing norm threshold 0.206824 in range [0.206814, 0.206835]...	no solution exists.
	Iteration #017: testing norm threshold 0.206830 in range [0.206824, 0.206835]...	no solution exists.


Factual sample: 		 {x0 : -3.342058603973336, x1 : -2.269512607453417, y: False}
Nearest counterfactual sample:	 {x0 : 1.7118788342810265, x1 : -2.2695196507024082, y: True} (verified)
Minimum counterfactual distance: 0.206835
