

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


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 0.118592 in range [0.000000, 0.237184]...	no solution exists.
	Iteration #003: testing norm threshold 0.177888 in range [0.118592, 0.237184]...	no solution exists.
	Iteration #004: testing norm threshold 0.207536 in range [0.177888, 0.237184]...	no solution exists.
	Iteration #005: testing norm threshold 0.222360 in range [0.207536, 0.237184]...	no solution exists.
	Iteration #006: testing norm threshold 0.229772 in range [0.222360, 0.237184]...	solution exists & found.
	Iteration #007: testing norm threshold 0.226066 in range [0.222360, 0.229772]...	solution exists & found.
	Iteration #008: testing norm threshold 0.224213 in range [0.222360, 0.226066]...	no solution exists.
	Iteration #009: testing norm threshold 0.225139 in range [0.224213, 0.226066]...	solution exists & found.
	Iteration #010: testing norm threshold 0.224676 in range [0.224213, 0.225139]...	no solution exists.
	Iteration #011: testing norm threshold 0.224908 in range [0.224676, 0.225139]...	no solution exists.
	Iteration #012: testing norm threshold 0.225023 in range [0.224908, 0.225139]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224966 in range [0.224908, 0.225024]...	no solution exists.
	Iteration #014: testing norm threshold 0.224995 in range [0.224966, 0.225024]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224980 in range [0.224966, 0.224995]...	solution exists & found.
	Iteration #016: testing norm threshold 0.224973 in range [0.224966, 0.224980]...	no solution exists.


Factual sample: 		 {x0 : -3.5483288514428235, x1 : -2.6615661453778, y: False}
Nearest counterfactual sample:	 {x0 : 1.948745603568696, x1 : -2.6613353547831364, y: True} (verified)
Minimum counterfactual distance: 0.224980
