

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


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 0.095450 in range [0.000000, 0.190899]...	no solution exists.
	Iteration #003: testing norm threshold 0.143174 in range [0.095450, 0.190899]...	solution exists & found.
	Iteration #004: testing norm threshold 0.119312 in range [0.095450, 0.143175]...	no solution exists.
	Iteration #005: testing norm threshold 0.131243 in range [0.119312, 0.143175]...	no solution exists.
	Iteration #006: testing norm threshold 0.137209 in range [0.131243, 0.143175]...	no solution exists.
	Iteration #007: testing norm threshold 0.140192 in range [0.137209, 0.143175]...	no solution exists.
	Iteration #008: testing norm threshold 0.141683 in range [0.140192, 0.143175]...	solution exists & found.
	Iteration #009: testing norm threshold 0.140938 in range [0.140192, 0.141683]...	no solution exists.
	Iteration #010: testing norm threshold 0.141310 in range [0.140938, 0.141683]...	solution exists & found.
	Iteration #011: testing norm threshold 0.141124 in range [0.140938, 0.141311]...	solution exists & found.
	Iteration #012: testing norm threshold 0.141031 in range [0.140938, 0.141124]...	solution exists & found.
	Iteration #013: testing norm threshold 0.140984 in range [0.140938, 0.141031]...	solution exists & found.
	Iteration #014: testing norm threshold 0.140961 in range [0.140938, 0.140984]...	no solution exists.
	Iteration #015: testing norm threshold 0.140973 in range [0.140961, 0.140984]...	no solution exists.
	Iteration #016: testing norm threshold 0.140978 in range [0.140973, 0.140984]...	solution exists & found.


Factual sample: 		 {x0 : -1.5927036090609372, x1 : -2.53556052933444, y: False}
Nearest counterfactual sample:	 {x0 : 1.8520640930379366, x1 : -2.53556052933444, y: True} (verified)
Minimum counterfactual distance: 0.140978
