

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


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 0.158850 in range [0.000000, 0.317701]...	no solution exists.
	Iteration #003: testing norm threshold 0.238276 in range [0.158850, 0.317701]...	no solution exists.
	Iteration #004: testing norm threshold 0.277988 in range [0.238276, 0.317701]...	solution exists & found.
	Iteration #005: testing norm threshold 0.258132 in range [0.238276, 0.277988]...	no solution exists.
	Iteration #006: testing norm threshold 0.268060 in range [0.258132, 0.277988]...	solution exists & found.
	Iteration #007: testing norm threshold 0.263096 in range [0.258132, 0.268060]...	no solution exists.
	Iteration #008: testing norm threshold 0.265578 in range [0.263096, 0.268060]...	no solution exists.
	Iteration #009: testing norm threshold 0.266819 in range [0.265578, 0.268060]...	solution exists & found.
	Iteration #010: testing norm threshold 0.266199 in range [0.265578, 0.266819]...	no solution exists.
	Iteration #011: testing norm threshold 0.266509 in range [0.266199, 0.266819]...	no solution exists.
	Iteration #012: testing norm threshold 0.266664 in range [0.266509, 0.266819]...	no solution exists.
	Iteration #013: testing norm threshold 0.266742 in range [0.266664, 0.266819]...	no solution exists.
	Iteration #014: testing norm threshold 0.266781 in range [0.266742, 0.266819]...	solution exists & found.
	Iteration #015: testing norm threshold 0.266761 in range [0.266742, 0.266781]...	no solution exists.
	Iteration #016: testing norm threshold 0.266771 in range [0.266761, 0.266781]...	solution exists & found.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.392435983299665, x1 : -4.3476512120729565, y: True} (verified)
Minimum counterfactual distance: 0.266771
