

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


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 0.136501 in range [0.000000, 0.273001]...	no solution exists.
	Iteration #003: testing norm threshold 0.204751 in range [0.136501, 0.273001]...	no solution exists.
	Iteration #004: testing norm threshold 0.238876 in range [0.204751, 0.273001]...	no solution exists.
	Iteration #005: testing norm threshold 0.255939 in range [0.238876, 0.273001]...	no solution exists.
	Iteration #006: testing norm threshold 0.264470 in range [0.255939, 0.273001]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260204 in range [0.255939, 0.264470]...	no solution exists.
	Iteration #008: testing norm threshold 0.262337 in range [0.260204, 0.264470]...	solution exists & found.
	Iteration #009: testing norm threshold 0.261271 in range [0.260204, 0.262337]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260738 in range [0.260204, 0.261271]...	no solution exists.
	Iteration #011: testing norm threshold 0.261004 in range [0.260738, 0.261271]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260871 in range [0.260738, 0.261004]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260804 in range [0.260738, 0.260871]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260771 in range [0.260738, 0.260804]...	no solution exists.
	Iteration #015: testing norm threshold 0.260788 in range [0.260771, 0.260804]...	no solution exists.
	Iteration #016: testing norm threshold 0.260796 in range [0.260788, 0.260804]...	solution exists & found.


Factual sample: 		 {x0 : -3.50485698830111, x1 : -3.8562565204819057, y: False}
Nearest counterfactual sample:	 {x0 : 2.8676180533801094, x1 : -3.8562565204819057, y: True} (verified)
Minimum counterfactual distance: 0.260796
