

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


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 0.183251 in range [0.000000, 0.366502]...	no solution exists.
	Iteration #003: testing norm threshold 0.274876 in range [0.183251, 0.366502]...	solution exists & found.
	Iteration #004: testing norm threshold 0.222804 in range [0.183251, 0.262358]...	no solution exists.
	Iteration #005: testing norm threshold 0.242581 in range [0.222804, 0.262358]...	no solution exists.
	Iteration #006: testing norm threshold 0.252470 in range [0.242581, 0.262358]...	solution exists & found.
	Iteration #007: testing norm threshold 0.247525 in range [0.242581, 0.252470]...	no solution exists.
	Iteration #008: testing norm threshold 0.249998 in range [0.247525, 0.252470]...	no solution exists.
	Iteration #009: testing norm threshold 0.251234 in range [0.249998, 0.252470]...	solution exists & found.
	Iteration #010: testing norm threshold 0.250616 in range [0.249998, 0.251234]...	solution exists & found.
	Iteration #011: testing norm threshold 0.250307 in range [0.249998, 0.250616]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250152 in range [0.249998, 0.250307]...	solution exists & found.
	Iteration #013: testing norm threshold 0.250075 in range [0.249998, 0.250152]...	no solution exists.
	Iteration #014: testing norm threshold 0.250114 in range [0.250075, 0.250152]...	no solution exists.
	Iteration #015: testing norm threshold 0.250133 in range [0.250114, 0.250152]...	no solution exists.
	Iteration #016: testing norm threshold 0.250143 in range [0.250133, 0.250152]...	no solution exists.


Factual sample: 		 {x0 : -3.8448343389459865, x1 : -3.075926879780657, y: False}
Nearest counterfactual sample:	 {x0 : 2.267415638635454, x1 : -3.0757915951750476, y: True} (verified)
Minimum counterfactual distance: 0.250152
