

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.160305 in range [0.000000, 0.320610]...	no solution exists.
	Iteration #003: testing norm threshold 0.240458 in range [0.160305, 0.320610]...	solution exists & found.
	Iteration #004: testing norm threshold 0.194906 in range [0.160305, 0.229507]...	no solution exists.
	Iteration #005: testing norm threshold 0.212206 in range [0.194906, 0.229507]...	no solution exists.
	Iteration #006: testing norm threshold 0.220856 in range [0.212206, 0.229507]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216531 in range [0.212206, 0.220857]...	no solution exists.
	Iteration #008: testing norm threshold 0.218694 in range [0.216531, 0.220857]...	solution exists & found.
	Iteration #009: testing norm threshold 0.217613 in range [0.216531, 0.218694]...	solution exists & found.
	Iteration #010: testing norm threshold 0.217072 in range [0.216531, 0.217613]...	no solution exists.
	Iteration #011: testing norm threshold 0.217342 in range [0.217072, 0.217613]...	solution exists & found.
	Iteration #012: testing norm threshold 0.217207 in range [0.217072, 0.217343]...	no solution exists.
	Iteration #013: testing norm threshold 0.217275 in range [0.217207, 0.217343]...	no solution exists.
	Iteration #014: testing norm threshold 0.217309 in range [0.217275, 0.217343]...	solution exists & found.
	Iteration #015: testing norm threshold 0.217292 in range [0.217275, 0.217309]...	no solution exists.
	Iteration #016: testing norm threshold 0.217300 in range [0.217292, 0.217309]...	solution exists & found.


Factual sample: 		 {x0 : -2.614711549289911, x1 : -3.631755535894423, y: False}
Nearest counterfactual sample:	 {x0 : 2.6949270233608464, x1 : -3.6317849003334546, y: True} (verified)
Minimum counterfactual distance: 0.217300
