

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


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 0.155764 in range [0.000000, 0.311528]...	no solution exists.
	Iteration #003: testing norm threshold 0.233646 in range [0.155764, 0.311528]...	no solution exists.
	Iteration #004: testing norm threshold 0.272587 in range [0.233646, 0.311528]...	solution exists & found.
	Iteration #005: testing norm threshold 0.253116 in range [0.233646, 0.272587]...	solution exists & found.
	Iteration #006: testing norm threshold 0.243381 in range [0.233646, 0.253117]...	solution exists & found.
	Iteration #007: testing norm threshold 0.238514 in range [0.233646, 0.243381]...	no solution exists.
	Iteration #008: testing norm threshold 0.240947 in range [0.238514, 0.243381]...	solution exists & found.
	Iteration #009: testing norm threshold 0.239731 in range [0.238514, 0.240948]...	solution exists & found.
	Iteration #010: testing norm threshold 0.239122 in range [0.238514, 0.239731]...	no solution exists.
	Iteration #011: testing norm threshold 0.239426 in range [0.239122, 0.239731]...	solution exists & found.
	Iteration #012: testing norm threshold 0.239274 in range [0.239122, 0.239427]...	no solution exists.
	Iteration #013: testing norm threshold 0.239350 in range [0.239274, 0.239427]...	no solution exists.
	Iteration #014: testing norm threshold 0.239388 in range [0.239350, 0.239427]...	no solution exists.
	Iteration #015: testing norm threshold 0.239407 in range [0.239388, 0.239427]...	no solution exists.
	Iteration #016: testing norm threshold 0.239417 in range [0.239407, 0.239427]...	solution exists & found.


Factual sample: 		 {x0 : -2.171158912649518, x1 : -4.195738768679171, y: False}
Nearest counterfactual sample:	 {x0 : 3.5358088626729196, x1 : -4.195385863879834, y: True} (verified)
Minimum counterfactual distance: 0.239417
