

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


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 0.150037 in range [0.000000, 0.300074]...	no solution exists.
	Iteration #003: testing norm threshold 0.225055 in range [0.150037, 0.300074]...	no solution exists.
	Iteration #004: testing norm threshold 0.262565 in range [0.225055, 0.300074]...	solution exists & found.
	Iteration #005: testing norm threshold 0.243810 in range [0.225055, 0.262565]...	no solution exists.
	Iteration #006: testing norm threshold 0.253187 in range [0.243810, 0.262565]...	solution exists & found.
	Iteration #007: testing norm threshold 0.248499 in range [0.243810, 0.253188]...	no solution exists.
	Iteration #008: testing norm threshold 0.250843 in range [0.248499, 0.253188]...	solution exists & found.
	Iteration #009: testing norm threshold 0.249671 in range [0.248499, 0.250843]...	no solution exists.
	Iteration #010: testing norm threshold 0.250257 in range [0.249671, 0.250843]...	solution exists & found.
	Iteration #011: testing norm threshold 0.249964 in range [0.249671, 0.250257]...	no solution exists.
	Iteration #012: testing norm threshold 0.250111 in range [0.249964, 0.250257]...	no solution exists.
	Iteration #013: testing norm threshold 0.250184 in range [0.250111, 0.250257]...	solution exists & found.
	Iteration #014: testing norm threshold 0.250147 in range [0.250111, 0.250184]...	no solution exists.
	Iteration #015: testing norm threshold 0.250166 in range [0.250147, 0.250184]...	solution exists & found.
	Iteration #016: testing norm threshold 0.250157 in range [0.250147, 0.250166]...	solution exists & found.


Factual sample: 		 {x0 : -3.8448343389459865, x1 : -3.075926879780657, y: False}
Nearest counterfactual sample:	 {x0 : 2.2675853104087573, x1 : -3.076005187773713, y: True} (verified)
Minimum counterfactual distance: 0.250157
