

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


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 0.099463 in range [0.000000, 0.198926]...	no solution exists.
	Iteration #003: testing norm threshold 0.149194 in range [0.099463, 0.198926]...	no solution exists.
	Iteration #004: testing norm threshold 0.174060 in range [0.149194, 0.198926]...	no solution exists.
	Iteration #005: testing norm threshold 0.186493 in range [0.174060, 0.198926]...	no solution exists.
	Iteration #006: testing norm threshold 0.192710 in range [0.186493, 0.198926]...	solution exists & found.
	Iteration #007: testing norm threshold 0.189601 in range [0.186493, 0.192710]...	solution exists & found.
	Iteration #008: testing norm threshold 0.188047 in range [0.186493, 0.189601]...	solution exists & found.
	Iteration #009: testing norm threshold 0.187270 in range [0.186493, 0.188047]...	solution exists & found.
	Iteration #010: testing norm threshold 0.186882 in range [0.186493, 0.187270]...	solution exists & found.
	Iteration #011: testing norm threshold 0.186687 in range [0.186493, 0.186882]...	no solution exists.
	Iteration #012: testing norm threshold 0.186785 in range [0.186687, 0.186882]...	solution exists & found.
	Iteration #013: testing norm threshold 0.186736 in range [0.186687, 0.186785]...	solution exists & found.
	Iteration #014: testing norm threshold 0.186712 in range [0.186687, 0.186736]...	no solution exists.
	Iteration #015: testing norm threshold 0.186724 in range [0.186712, 0.186736]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186718 in range [0.186712, 0.186724]...	solution exists & found.


Factual sample: 		 {x0 : -2.601298364688454, x1 : -2.6774559825409896, y: False}
Nearest counterfactual sample:	 {x0 : 1.9611001164661186, x1 : -2.6774559825409896, y: True} (verified)
Minimum counterfactual distance: 0.186718
