

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


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 0.149041 in range [0.000000, 0.298083]...	no solution exists.
	Iteration #003: testing norm threshold 0.223562 in range [0.149041, 0.298083]...	solution exists & found.
	Iteration #004: testing norm threshold 0.168787 in range [0.149041, 0.188532]...	no solution exists.
	Iteration #005: testing norm threshold 0.178660 in range [0.168787, 0.188532]...	solution exists & found.
	Iteration #006: testing norm threshold 0.173723 in range [0.168787, 0.178660]...	no solution exists.
	Iteration #007: testing norm threshold 0.176191 in range [0.173723, 0.178660]...	solution exists & found.
	Iteration #008: testing norm threshold 0.174957 in range [0.173723, 0.176192]...	no solution exists.
	Iteration #009: testing norm threshold 0.175574 in range [0.174957, 0.176192]...	no solution exists.
	Iteration #010: testing norm threshold 0.175883 in range [0.175574, 0.176192]...	no solution exists.
	Iteration #011: testing norm threshold 0.176037 in range [0.175883, 0.176192]...	no solution exists.
	Iteration #012: testing norm threshold 0.176114 in range [0.176037, 0.176192]...	no solution exists.
	Iteration #013: testing norm threshold 0.176153 in range [0.176114, 0.176192]...	solution exists & found.
	Iteration #014: testing norm threshold 0.176134 in range [0.176114, 0.176153]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176124 in range [0.176114, 0.176134]...	solution exists & found.


Factual sample: 		 {x0 : -2.30787575957717, x1 : -2.620425846966576, y: False}
Nearest counterfactual sample:	 {x0 : 1.9956544353102983, x1 : -2.620435574697005, y: True} (verified)
Minimum counterfactual distance: 0.176124
