

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


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 0.132835 in range [0.000000, 0.265669]...	no solution exists.
	Iteration #003: testing norm threshold 0.199252 in range [0.132835, 0.265669]...	solution exists & found.
	Iteration #004: testing norm threshold 0.166043 in range [0.132835, 0.199252]...	no solution exists.
	Iteration #005: testing norm threshold 0.182648 in range [0.166043, 0.199252]...	no solution exists.
	Iteration #006: testing norm threshold 0.190950 in range [0.182648, 0.199252]...	solution exists & found.
	Iteration #007: testing norm threshold 0.186799 in range [0.182648, 0.190950]...	no solution exists.
	Iteration #008: testing norm threshold 0.188874 in range [0.186799, 0.190950]...	solution exists & found.
	Iteration #009: testing norm threshold 0.187837 in range [0.186799, 0.188875]...	solution exists & found.
	Iteration #010: testing norm threshold 0.187318 in range [0.186799, 0.187837]...	no solution exists.
	Iteration #011: testing norm threshold 0.187577 in range [0.187318, 0.187837]...	no solution exists.
	Iteration #012: testing norm threshold 0.187707 in range [0.187577, 0.187837]...	solution exists & found.
	Iteration #013: testing norm threshold 0.187642 in range [0.187577, 0.187707]...	solution exists & found.
	Iteration #014: testing norm threshold 0.187610 in range [0.187577, 0.187642]...	solution exists & found.
	Iteration #015: testing norm threshold 0.187594 in range [0.187577, 0.187610]...	solution exists & found.
	Iteration #016: testing norm threshold 0.187585 in range [0.187577, 0.187594]...	no solution exists.


Factual sample: 		 {x0 : -2.657321993299626, x1 : -2.53476057422459, y: False}
Nearest counterfactual sample:	 {x0 : 1.9264721307531345, x1 : -2.53476057422459, y: True} (verified)
Minimum counterfactual distance: 0.187594
