

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


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 0.205789 in range [0.000000, 0.411578]...	no solution exists.
	Iteration #003: testing norm threshold 0.308684 in range [0.205789, 0.411578]...	solution exists & found.
	Iteration #004: testing norm threshold 0.237852 in range [0.205789, 0.269915]...	no solution exists.
	Iteration #005: testing norm threshold 0.253884 in range [0.237852, 0.269915]...	no solution exists.
	Iteration #006: testing norm threshold 0.261899 in range [0.253884, 0.269915]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257891 in range [0.253884, 0.261899]...	solution exists & found.
	Iteration #008: testing norm threshold 0.255888 in range [0.253884, 0.257892]...	no solution exists.
	Iteration #009: testing norm threshold 0.256890 in range [0.255888, 0.257892]...	no solution exists.
	Iteration #010: testing norm threshold 0.257391 in range [0.256890, 0.257892]...	no solution exists.
	Iteration #011: testing norm threshold 0.257641 in range [0.257391, 0.257892]...	no solution exists.
	Iteration #012: testing norm threshold 0.257766 in range [0.257641, 0.257892]...	solution exists & found.
	Iteration #013: testing norm threshold 0.257704 in range [0.257641, 0.257766]...	no solution exists.
	Iteration #014: testing norm threshold 0.257735 in range [0.257704, 0.257766]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257719 in range [0.257704, 0.257735]...	solution exists & found.
	Iteration #016: testing norm threshold 0.257712 in range [0.257704, 0.257720]...	solution exists & found.


Factual sample: 		 {x0 : -3.911539229982616, x1 : -3.229314521944287, y: False}
Nearest counterfactual sample:	 {x0 : 2.3855684252781693, x1 : -3.229314521944287, y: True} (verified)
Minimum counterfactual distance: 0.257712
