

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


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 0.093777 in range [0.000000, 0.187554]...	no solution exists.
	Iteration #003: testing norm threshold 0.140665 in range [0.093777, 0.187554]...	no solution exists.
	Iteration #004: testing norm threshold 0.164109 in range [0.140665, 0.187554]...	no solution exists.
	Iteration #005: testing norm threshold 0.175831 in range [0.164109, 0.187554]...	solution exists & found.
	Iteration #006: testing norm threshold 0.169970 in range [0.164109, 0.175832]...	no solution exists.
	Iteration #007: testing norm threshold 0.172901 in range [0.169970, 0.175832]...	no solution exists.
	Iteration #008: testing norm threshold 0.174366 in range [0.172901, 0.175832]...	no solution exists.
	Iteration #009: testing norm threshold 0.175099 in range [0.174366, 0.175832]...	no solution exists.
	Iteration #010: testing norm threshold 0.175465 in range [0.175099, 0.175832]...	solution exists & found.
	Iteration #011: testing norm threshold 0.175282 in range [0.175099, 0.175465]...	solution exists & found.
	Iteration #012: testing norm threshold 0.175191 in range [0.175099, 0.175282]...	solution exists & found.
	Iteration #013: testing norm threshold 0.175145 in range [0.175099, 0.175191]...	solution exists & found.
	Iteration #014: testing norm threshold 0.175122 in range [0.175099, 0.175145]...	no solution exists.
	Iteration #015: testing norm threshold 0.175133 in range [0.175122, 0.175145]...	no solution exists.
	Iteration #016: testing norm threshold 0.175139 in range [0.175133, 0.175145]...	no solution exists.


Factual sample: 		 {x0 : -2.7800072361786725, x1 : -2.0070121421495104, y: False}
Nearest counterfactual sample:	 {x0 : 1.499583348326756, x1 : -2.0069934159577216, y: True} (verified)
Minimum counterfactual distance: 0.175145
