

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


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 0.051387 in range [0.000000, 0.102774]...	no solution exists.
	Iteration #003: testing norm threshold 0.077081 in range [0.051387, 0.102774]...	no solution exists.
	Iteration #004: testing norm threshold 0.089927 in range [0.077081, 0.102774]...	no solution exists.
	Iteration #005: testing norm threshold 0.096351 in range [0.089927, 0.102774]...	solution exists & found.
	Iteration #006: testing norm threshold 0.093139 in range [0.089927, 0.096351]...	solution exists & found.
	Iteration #007: testing norm threshold 0.091533 in range [0.089927, 0.093139]...	solution exists & found.
	Iteration #008: testing norm threshold 0.090730 in range [0.089927, 0.091534]...	solution exists & found.
	Iteration #009: testing norm threshold 0.090329 in range [0.089927, 0.090731]...	no solution exists.
	Iteration #010: testing norm threshold 0.090530 in range [0.090329, 0.090731]...	no solution exists.
	Iteration #011: testing norm threshold 0.090630 in range [0.090530, 0.090731]...	solution exists & found.
	Iteration #012: testing norm threshold 0.090580 in range [0.090530, 0.090630]...	solution exists & found.
	Iteration #013: testing norm threshold 0.090555 in range [0.090530, 0.090580]...	no solution exists.
	Iteration #014: testing norm threshold 0.090568 in range [0.090555, 0.090580]...	solution exists & found.
	Iteration #015: testing norm threshold 0.090561 in range [0.090555, 0.090568]...	no solution exists.


Factual sample: 		 {x0 : -0.6492781248013051, x1 : -2.1606285198167887, y: False}
Nearest counterfactual sample:	 {x0 : 1.5636067049222093, x1 : -2.160528819194543, y: True} (verified)
Minimum counterfactual distance: 0.090568
