

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


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 0.189109 in range [0.000000, 0.378217]...	no solution exists.
	Iteration #003: testing norm threshold 0.283663 in range [0.189109, 0.378217]...	no solution exists.
	Iteration #004: testing norm threshold 0.330940 in range [0.283663, 0.378217]...	no solution exists.
	Iteration #005: testing norm threshold 0.354579 in range [0.330940, 0.378217]...	no solution exists.
	Iteration #006: testing norm threshold 0.366398 in range [0.354579, 0.378217]...	solution exists & found.
	Iteration #007: testing norm threshold 0.360488 in range [0.354579, 0.366398]...	no solution exists.
	Iteration #008: testing norm threshold 0.363443 in range [0.360488, 0.366398]...	no solution exists.
	Iteration #009: testing norm threshold 0.364921 in range [0.363443, 0.366398]...	no solution exists.
	Iteration #010: testing norm threshold 0.365659 in range [0.364921, 0.366398]...	no solution exists.
	Iteration #011: testing norm threshold 0.366029 in range [0.365659, 0.366398]...	solution exists & found.
	Iteration #012: testing norm threshold 0.365844 in range [0.365659, 0.366029]...	solution exists & found.
	Iteration #013: testing norm threshold 0.365752 in range [0.365659, 0.365844]...	no solution exists.
	Iteration #014: testing norm threshold 0.365798 in range [0.365752, 0.365844]...	no solution exists.
	Iteration #015: testing norm threshold 0.365821 in range [0.365798, 0.365844]...	solution exists & found.
	Iteration #016: testing norm threshold 0.365810 in range [0.365798, 0.365821]...	solution exists & found.
	Iteration #017: testing norm threshold 0.365804 in range [0.365798, 0.365810]...	no solution exists.


Factual sample: 		 {x0 : -6.0466072371455, x1 : -3.728626337822564, y: False}
Nearest counterfactual sample:	 {x0 : 2.8918416085528036, x1 : -3.728626337822564, y: True} (verified)
Minimum counterfactual distance: 0.365810
