

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


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 0.130847 in range [0.000000, 0.261694]...	no solution exists.
	Iteration #003: testing norm threshold 0.196270 in range [0.130847, 0.261694]...	no solution exists.
	Iteration #004: testing norm threshold 0.228982 in range [0.196270, 0.261694]...	solution exists & found.
	Iteration #005: testing norm threshold 0.212626 in range [0.196270, 0.228982]...	solution exists & found.
	Iteration #006: testing norm threshold 0.204448 in range [0.196270, 0.212626]...	no solution exists.
	Iteration #007: testing norm threshold 0.208537 in range [0.204448, 0.212626]...	no solution exists.
	Iteration #008: testing norm threshold 0.210582 in range [0.208537, 0.212626]...	no solution exists.
	Iteration #009: testing norm threshold 0.211604 in range [0.210582, 0.212626]...	no solution exists.
	Iteration #010: testing norm threshold 0.212115 in range [0.211604, 0.212626]...	solution exists & found.
	Iteration #011: testing norm threshold 0.211860 in range [0.211604, 0.212115]...	solution exists & found.
	Iteration #012: testing norm threshold 0.211732 in range [0.211604, 0.211860]...	no solution exists.
	Iteration #013: testing norm threshold 0.211796 in range [0.211732, 0.211860]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211764 in range [0.211732, 0.211796]...	no solution exists.
	Iteration #015: testing norm threshold 0.211780 in range [0.211764, 0.211796]...	solution exists & found.
	Iteration #016: testing norm threshold 0.211772 in range [0.211764, 0.211780]...	solution exists & found.


Factual sample: 		 {x0 : -2.900313933939848, x1 : -3.084656874285015, y: False}
Nearest counterfactual sample:	 {x0 : 2.274273217815898, x1 : -3.084656874285015, y: True} (verified)
Minimum counterfactual distance: 0.211772
