

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.066508 in range [0.000000, 0.133016]...	no solution exists.
	Iteration #003: testing norm threshold 0.099762 in range [0.066508, 0.133016]...	no solution exists.
	Iteration #004: testing norm threshold 0.116389 in range [0.099762, 0.133016]...	no solution exists.
	Iteration #005: testing norm threshold 0.124703 in range [0.116389, 0.133016]...	solution exists & found.
	Iteration #006: testing norm threshold 0.120546 in range [0.116389, 0.124703]...	solution exists & found.
	Iteration #007: testing norm threshold 0.118468 in range [0.116389, 0.120546]...	no solution exists.
	Iteration #008: testing norm threshold 0.119507 in range [0.118468, 0.120546]...	no solution exists.
	Iteration #009: testing norm threshold 0.120027 in range [0.119507, 0.120546]...	solution exists & found.
	Iteration #010: testing norm threshold 0.119767 in range [0.119507, 0.120027]...	solution exists & found.
	Iteration #011: testing norm threshold 0.119637 in range [0.119507, 0.119767]...	no solution exists.
	Iteration #012: testing norm threshold 0.119702 in range [0.119637, 0.119767]...	solution exists & found.
	Iteration #013: testing norm threshold 0.119670 in range [0.119637, 0.119702]...	solution exists & found.
	Iteration #014: testing norm threshold 0.119653 in range [0.119637, 0.119670]...	solution exists & found.
	Iteration #015: testing norm threshold 0.119645 in range [0.119637, 0.119653]...	solution exists & found.


Factual sample: 		 {x0 : -1.8225011218705027, x1 : -1.1126061632998618, y: False}
Nearest counterfactual sample:	 {x0 : 1.2390349966542373, x1 : -1.112501916451281, y: True} (verified)
Minimum counterfactual distance: 0.119645
