

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


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 0.190685 in range [0.000000, 0.381370]...	no solution exists.
	Iteration #003: testing norm threshold 0.286027 in range [0.190685, 0.381370]...	solution exists & found.
	Iteration #004: testing norm threshold 0.238356 in range [0.190685, 0.286028]...	no solution exists.
	Iteration #005: testing norm threshold 0.262192 in range [0.238356, 0.286028]...	solution exists & found.
	Iteration #006: testing norm threshold 0.250274 in range [0.238356, 0.262192]...	no solution exists.
	Iteration #007: testing norm threshold 0.256233 in range [0.250274, 0.262192]...	no solution exists.
	Iteration #008: testing norm threshold 0.259213 in range [0.256233, 0.262192]...	no solution exists.
	Iteration #009: testing norm threshold 0.260702 in range [0.259213, 0.262192]...	no solution exists.
	Iteration #010: testing norm threshold 0.261447 in range [0.260702, 0.262192]...	solution exists & found.
	Iteration #011: testing norm threshold 0.261075 in range [0.260702, 0.261447]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260889 in range [0.260702, 0.261075]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260796 in range [0.260702, 0.260889]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260749 in range [0.260702, 0.260796]...	no solution exists.
	Iteration #015: testing norm threshold 0.260772 in range [0.260749, 0.260796]...	no solution exists.
	Iteration #016: testing norm threshold 0.260784 in range [0.260772, 0.260796]...	no solution exists.
	Iteration #017: testing norm threshold 0.260790 in range [0.260784, 0.260796]...	no solution exists.


Factual sample: 		 {x0 : -3.50485698830111, x1 : -3.8562565204819057, y: False}
Nearest counterfactual sample:	 {x0 : 2.8676043349481617, x1 : -3.8562565204819057, y: True} (verified)
Minimum counterfactual distance: 0.260796
