

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


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 0.123927 in range [0.000000, 0.247855]...	no solution exists.
	Iteration #003: testing norm threshold 0.185891 in range [0.123927, 0.247855]...	no solution exists.
	Iteration #004: testing norm threshold 0.216873 in range [0.185891, 0.247855]...	solution exists & found.
	Iteration #005: testing norm threshold 0.201382 in range [0.185891, 0.216873]...	no solution exists.
	Iteration #006: testing norm threshold 0.209127 in range [0.201382, 0.216873]...	solution exists & found.
	Iteration #007: testing norm threshold 0.205255 in range [0.201382, 0.209128]...	no solution exists.
	Iteration #008: testing norm threshold 0.207191 in range [0.205255, 0.209128]...	no solution exists.
	Iteration #009: testing norm threshold 0.208159 in range [0.207191, 0.209128]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207675 in range [0.207191, 0.208159]...	solution exists & found.
	Iteration #011: testing norm threshold 0.207433 in range [0.207191, 0.207675]...	no solution exists.
	Iteration #012: testing norm threshold 0.207554 in range [0.207433, 0.207675]...	no solution exists.
	Iteration #013: testing norm threshold 0.207615 in range [0.207554, 0.207675]...	solution exists & found.
	Iteration #014: testing norm threshold 0.207585 in range [0.207554, 0.207615]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207570 in range [0.207554, 0.207585]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207562 in range [0.207554, 0.207570]...	solution exists & found.


Factual sample: 		 {x0 : -2.474563741707604, x1 : -2.911326323462059, y: False}
Nearest counterfactual sample:	 {x0 : 2.473270783889102, x1 : -2.911208601940817, y: True} (verified)
Minimum counterfactual distance: 0.207562
