

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


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 0.139614 in range [0.000000, 0.279229]...	no solution exists.
	Iteration #003: testing norm threshold 0.209422 in range [0.139614, 0.279229]...	no solution exists.
	Iteration #004: testing norm threshold 0.244325 in range [0.209422, 0.279229]...	solution exists & found.
	Iteration #005: testing norm threshold 0.226874 in range [0.209422, 0.244325]...	no solution exists.
	Iteration #006: testing norm threshold 0.235600 in range [0.226874, 0.244325]...	solution exists & found.
	Iteration #007: testing norm threshold 0.231237 in range [0.226874, 0.235600]...	solution exists & found.
	Iteration #008: testing norm threshold 0.229055 in range [0.226874, 0.231237]...	solution exists & found.
	Iteration #009: testing norm threshold 0.227964 in range [0.226874, 0.229055]...	solution exists & found.
	Iteration #010: testing norm threshold 0.227419 in range [0.226874, 0.227965]...	no solution exists.
	Iteration #011: testing norm threshold 0.227692 in range [0.227419, 0.227965]...	solution exists & found.
	Iteration #012: testing norm threshold 0.227555 in range [0.227419, 0.227692]...	solution exists & found.
	Iteration #013: testing norm threshold 0.227487 in range [0.227419, 0.227556]...	no solution exists.
	Iteration #014: testing norm threshold 0.227521 in range [0.227487, 0.227556]...	no solution exists.
	Iteration #015: testing norm threshold 0.227538 in range [0.227521, 0.227556]...	solution exists & found.
	Iteration #016: testing norm threshold 0.227530 in range [0.227521, 0.227539]...	solution exists & found.


Factual sample: 		 {x0 : -2.5698554368587696, x1 : -3.3714237856293496, y: False}
Nearest counterfactual sample:	 {x0 : 2.8538729210384712, x1 : -3.371196059384558, y: True} (verified)
Minimum counterfactual distance: 0.227530
