

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


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 0.169407 in range [0.000000, 0.338815]...	no solution exists.
	Iteration #003: testing norm threshold 0.254111 in range [0.169407, 0.338815]...	solution exists & found.
	Iteration #004: testing norm threshold 0.205973 in range [0.169407, 0.242538]...	no solution exists.
	Iteration #005: testing norm threshold 0.224256 in range [0.205973, 0.242538]...	no solution exists.
	Iteration #006: testing norm threshold 0.233397 in range [0.224256, 0.242538]...	solution exists & found.
	Iteration #007: testing norm threshold 0.228826 in range [0.224256, 0.233397]...	no solution exists.
	Iteration #008: testing norm threshold 0.231112 in range [0.228826, 0.233397]...	solution exists & found.
	Iteration #009: testing norm threshold 0.229969 in range [0.228826, 0.231112]...	no solution exists.
	Iteration #010: testing norm threshold 0.230540 in range [0.229969, 0.231112]...	solution exists & found.
	Iteration #011: testing norm threshold 0.230255 in range [0.229969, 0.230541]...	no solution exists.
	Iteration #012: testing norm threshold 0.230398 in range [0.230255, 0.230541]...	solution exists & found.
	Iteration #013: testing norm threshold 0.230326 in range [0.230255, 0.230398]...	no solution exists.
	Iteration #014: testing norm threshold 0.230362 in range [0.230326, 0.230398]...	solution exists & found.
	Iteration #015: testing norm threshold 0.230344 in range [0.230326, 0.230362]...	solution exists & found.
	Iteration #016: testing norm threshold 0.230335 in range [0.230326, 0.230344]...	solution exists & found.


Factual sample: 		 {x0 : -2.9029307671337023, x1 : -3.67104004702446, y: False}
Nearest counterfactual sample:	 {x0 : 2.7252450861501685, x1 : -3.67104004702446, y: True} (verified)
Minimum counterfactual distance: 0.230335
