

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


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 0.200055 in range [0.000000, 0.400109]...	no solution exists.
	Iteration #003: testing norm threshold 0.300082 in range [0.200055, 0.400109]...	no solution exists.
	Iteration #004: testing norm threshold 0.350095 in range [0.300082, 0.400109]...	solution exists & found.
	Iteration #005: testing norm threshold 0.325089 in range [0.300082, 0.350096]...	solution exists & found.
	Iteration #006: testing norm threshold 0.312585 in range [0.300082, 0.325089]...	solution exists & found.
	Iteration #007: testing norm threshold 0.306334 in range [0.300082, 0.312585]...	no solution exists.
	Iteration #008: testing norm threshold 0.309460 in range [0.306334, 0.312585]...	no solution exists.
	Iteration #009: testing norm threshold 0.311022 in range [0.309460, 0.312585]...	solution exists & found.
	Iteration #010: testing norm threshold 0.310241 in range [0.309460, 0.311023]...	no solution exists.
	Iteration #011: testing norm threshold 0.310632 in range [0.310241, 0.311023]...	no solution exists.
	Iteration #012: testing norm threshold 0.310827 in range [0.310632, 0.311023]...	no solution exists.
	Iteration #013: testing norm threshold 0.310925 in range [0.310827, 0.311023]...	solution exists & found.
	Iteration #014: testing norm threshold 0.310876 in range [0.310827, 0.310925]...	no solution exists.
	Iteration #015: testing norm threshold 0.310901 in range [0.310876, 0.310925]...	no solution exists.
	Iteration #016: testing norm threshold 0.310913 in range [0.310901, 0.310925]...	solution exists & found.
	Iteration #017: testing norm threshold 0.310907 in range [0.310901, 0.310913]...	solution exists & found.


Factual sample: 		 {x0 : -3.5144806005942635, x1 : -4.257253456246255, y: False}
Nearest counterfactual sample:	 {x0 : 4.4414417568966424, x1 : -4.257253456246255, y: True} (verified)
Minimum counterfactual distance: 0.310907
