

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


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 0.141734 in range [0.000000, 0.283469]...	no solution exists.
	Iteration #003: testing norm threshold 0.212602 in range [0.141734, 0.283469]...	solution exists & found.
	Iteration #004: testing norm threshold 0.177168 in range [0.141734, 0.212602]...	solution exists & found.
	Iteration #005: testing norm threshold 0.159451 in range [0.141734, 0.177168]...	solution exists & found.
	Iteration #006: testing norm threshold 0.150593 in range [0.141734, 0.159451]...	no solution exists.
	Iteration #007: testing norm threshold 0.155022 in range [0.150593, 0.159451]...	no solution exists.
	Iteration #008: testing norm threshold 0.157237 in range [0.155022, 0.159451]...	solution exists & found.
	Iteration #009: testing norm threshold 0.156129 in range [0.155022, 0.157237]...	solution exists & found.
	Iteration #010: testing norm threshold 0.155576 in range [0.155022, 0.156130]...	no solution exists.
	Iteration #011: testing norm threshold 0.155853 in range [0.155576, 0.156130]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155714 in range [0.155576, 0.155853]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155645 in range [0.155576, 0.155714]...	solution exists & found.
	Iteration #014: testing norm threshold 0.155611 in range [0.155576, 0.155645]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155593 in range [0.155576, 0.155611]...	no solution exists.
	Iteration #016: testing norm threshold 0.155602 in range [0.155593, 0.155611]...	solution exists & found.


Factual sample: 		 {x0 : -2.254454543746456, x1 : -2.1397109051458494, y: False}
Nearest counterfactual sample:	 {x0 : 1.5475188233886883, x1 : -2.139604460693602, y: True} (verified)
Minimum counterfactual distance: 0.155602
