

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


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 0.120974 in range [0.000000, 0.241948]...	no solution exists.
	Iteration #003: testing norm threshold 0.181461 in range [0.120974, 0.241948]...	no solution exists.
	Iteration #004: testing norm threshold 0.211705 in range [0.181461, 0.241948]...	no solution exists.
	Iteration #005: testing norm threshold 0.226827 in range [0.211705, 0.241948]...	no solution exists.
	Iteration #006: testing norm threshold 0.234387 in range [0.226827, 0.241948]...	solution exists & found.
	Iteration #007: testing norm threshold 0.230607 in range [0.226827, 0.234387]...	solution exists & found.
	Iteration #008: testing norm threshold 0.228717 in range [0.226827, 0.230607]...	no solution exists.
	Iteration #009: testing norm threshold 0.229662 in range [0.228717, 0.230607]...	no solution exists.
	Iteration #010: testing norm threshold 0.230135 in range [0.229662, 0.230607]...	solution exists & found.
	Iteration #011: testing norm threshold 0.229898 in range [0.229662, 0.230135]...	solution exists & found.
	Iteration #012: testing norm threshold 0.229780 in range [0.229662, 0.229898]...	solution exists & found.
	Iteration #013: testing norm threshold 0.229721 in range [0.229662, 0.229780]...	no solution exists.
	Iteration #014: testing norm threshold 0.229751 in range [0.229721, 0.229780]...	solution exists & found.
	Iteration #015: testing norm threshold 0.229736 in range [0.229721, 0.229751]...	no solution exists.
	Iteration #016: testing norm threshold 0.229743 in range [0.229736, 0.229751]...	solution exists & found.


Factual sample: 		 {x0 : -3.788184610015844, x1 : -2.501050035020989, y: False}
Nearest counterfactual sample:	 {x0 : 1.825527088048709, x1 : -2.501050035020989, y: True} (verified)
Minimum counterfactual distance: 0.229743
