

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


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 0.140127 in range [0.000000, 0.280254]...	no solution exists.
	Iteration #003: testing norm threshold 0.210191 in range [0.140127, 0.280254]...	no solution exists.
	Iteration #004: testing norm threshold 0.245223 in range [0.210191, 0.280254]...	solution exists & found.
	Iteration #005: testing norm threshold 0.227707 in range [0.210191, 0.245223]...	no solution exists.
	Iteration #006: testing norm threshold 0.236465 in range [0.227707, 0.245223]...	solution exists & found.
	Iteration #007: testing norm threshold 0.232086 in range [0.227707, 0.236465]...	solution exists & found.
	Iteration #008: testing norm threshold 0.229896 in range [0.227707, 0.232086]...	no solution exists.
	Iteration #009: testing norm threshold 0.230991 in range [0.229896, 0.232086]...	solution exists & found.
	Iteration #010: testing norm threshold 0.230444 in range [0.229896, 0.230991]...	solution exists & found.
	Iteration #011: testing norm threshold 0.230170 in range [0.229896, 0.230444]...	no solution exists.
	Iteration #012: testing norm threshold 0.230307 in range [0.230170, 0.230444]...	no solution exists.
	Iteration #013: testing norm threshold 0.230375 in range [0.230307, 0.230444]...	solution exists & found.
	Iteration #014: testing norm threshold 0.230341 in range [0.230307, 0.230375]...	solution exists & found.
	Iteration #015: testing norm threshold 0.230324 in range [0.230307, 0.230341]...	no solution exists.
	Iteration #016: testing norm threshold 0.230333 in range [0.230324, 0.230341]...	solution exists & found.


Factual sample: 		 {x0 : -2.9029307671337023, x1 : -3.67104004702446, y: False}
Nearest counterfactual sample:	 {x0 : 2.7251426961854506, x1 : -3.6710749458642944, y: True} (verified)
Minimum counterfactual distance: 0.230333
