

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.104610 in range [0.000000, 0.209220]...	no solution exists.
	Iteration #003: testing norm threshold 0.156915 in range [0.104610, 0.209220]...	no solution exists.
	Iteration #004: testing norm threshold 0.183068 in range [0.156915, 0.209220]...	no solution exists.
	Iteration #005: testing norm threshold 0.196144 in range [0.183068, 0.209220]...	no solution exists.
	Iteration #006: testing norm threshold 0.202682 in range [0.196144, 0.209220]...	solution exists & found.
	Iteration #007: testing norm threshold 0.199413 in range [0.196144, 0.202682]...	solution exists & found.
	Iteration #008: testing norm threshold 0.197779 in range [0.196144, 0.199413]...	solution exists & found.
	Iteration #009: testing norm threshold 0.196961 in range [0.196144, 0.197779]...	solution exists & found.
	Iteration #010: testing norm threshold 0.196553 in range [0.196144, 0.196961]...	solution exists & found.
	Iteration #011: testing norm threshold 0.196348 in range [0.196144, 0.196553]...	solution exists & found.
	Iteration #012: testing norm threshold 0.196246 in range [0.196144, 0.196348]...	no solution exists.
	Iteration #013: testing norm threshold 0.196297 in range [0.196246, 0.196348]...	solution exists & found.
	Iteration #014: testing norm threshold 0.196272 in range [0.196246, 0.196297]...	no solution exists.
	Iteration #015: testing norm threshold 0.196285 in range [0.196272, 0.196297]...	no solution exists.
	Iteration #016: testing norm threshold 0.196291 in range [0.196285, 0.196297]...	no solution exists.


Factual sample: 		 {x0 : -3.734380600758021, x1 : -1.064106095234444, y: False}
Nearest counterfactual sample:	 {x0 : 0.9450427460347274, x1 : -1.064106095234444, y: True} (verified)
Minimum counterfactual distance: 0.196297
