

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


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 0.116266 in range [0.000000, 0.232531]...	no solution exists.
	Iteration #003: testing norm threshold 0.174398 in range [0.116266, 0.232531]...	no solution exists.
	Iteration #004: testing norm threshold 0.203465 in range [0.174398, 0.232531]...	no solution exists.
	Iteration #005: testing norm threshold 0.217998 in range [0.203465, 0.232531]...	no solution exists.
	Iteration #006: testing norm threshold 0.225265 in range [0.217998, 0.232531]...	solution exists & found.
	Iteration #007: testing norm threshold 0.221631 in range [0.217998, 0.225265]...	solution exists & found.
	Iteration #008: testing norm threshold 0.219815 in range [0.217998, 0.221631]...	no solution exists.
	Iteration #009: testing norm threshold 0.220723 in range [0.219815, 0.221631]...	solution exists & found.
	Iteration #010: testing norm threshold 0.220269 in range [0.219815, 0.220723]...	no solution exists.
	Iteration #011: testing norm threshold 0.220496 in range [0.220269, 0.220723]...	solution exists & found.
	Iteration #012: testing norm threshold 0.220383 in range [0.220269, 0.220496]...	solution exists & found.
	Iteration #013: testing norm threshold 0.220326 in range [0.220269, 0.220383]...	solution exists & found.
	Iteration #014: testing norm threshold 0.220297 in range [0.220269, 0.220326]...	no solution exists.
	Iteration #015: testing norm threshold 0.220312 in range [0.220297, 0.220326]...	no solution exists.
	Iteration #016: testing norm threshold 0.220319 in range [0.220312, 0.220326]...	no solution exists.


Factual sample: 		 {x0 : -3.502885906152688, x1 : -2.5728294878898903, y: False}
Nearest counterfactual sample:	 {x0 : 1.8806697717716212, x1 : -2.572867459937396, y: True} (verified)
Minimum counterfactual distance: 0.220326
