

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


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 0.106995 in range [0.000000, 0.213990]...	no solution exists.
	Iteration #003: testing norm threshold 0.160493 in range [0.106995, 0.213990]...	solution exists & found.
	Iteration #004: testing norm threshold 0.130089 in range [0.106995, 0.153183]...	no solution exists.
	Iteration #005: testing norm threshold 0.141636 in range [0.130089, 0.153183]...	solution exists & found.
	Iteration #006: testing norm threshold 0.135863 in range [0.130089, 0.141636]...	no solution exists.
	Iteration #007: testing norm threshold 0.138750 in range [0.135863, 0.141636]...	no solution exists.
	Iteration #008: testing norm threshold 0.140193 in range [0.138750, 0.141636]...	no solution exists.
	Iteration #009: testing norm threshold 0.140915 in range [0.140193, 0.141636]...	no solution exists.
	Iteration #010: testing norm threshold 0.141276 in range [0.140915, 0.141636]...	solution exists & found.
	Iteration #011: testing norm threshold 0.141095 in range [0.140915, 0.141276]...	solution exists & found.
	Iteration #012: testing norm threshold 0.141005 in range [0.140915, 0.141095]...	solution exists & found.
	Iteration #013: testing norm threshold 0.140960 in range [0.140915, 0.141005]...	no solution exists.
	Iteration #014: testing norm threshold 0.140982 in range [0.140960, 0.141005]...	solution exists & found.
	Iteration #015: testing norm threshold 0.140971 in range [0.140960, 0.140983]...	no solution exists.
	Iteration #016: testing norm threshold 0.140977 in range [0.140971, 0.140983]...	solution exists & found.


Factual sample: 		 {x0 : -1.5927036090609372, x1 : -2.53556052933444, y: False}
Nearest counterfactual sample:	 {x0 : 1.8519093603082117, x1 : -2.5354520243941474, y: True} (verified)
Minimum counterfactual distance: 0.140977
