

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


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 0.189109 in range [0.000000, 0.378218]...	no solution exists.
	Iteration #003: testing norm threshold 0.283663 in range [0.189109, 0.378218]...	no solution exists.
	Iteration #004: testing norm threshold 0.330941 in range [0.283663, 0.378218]...	solution exists & found.
	Iteration #005: testing norm threshold 0.307302 in range [0.283663, 0.330941]...	solution exists & found.
	Iteration #006: testing norm threshold 0.295483 in range [0.283663, 0.307302]...	no solution exists.
	Iteration #007: testing norm threshold 0.301393 in range [0.295483, 0.307302]...	solution exists & found.
	Iteration #008: testing norm threshold 0.298438 in range [0.295483, 0.301393]...	solution exists & found.
	Iteration #009: testing norm threshold 0.296960 in range [0.295483, 0.298438]...	solution exists & found.
	Iteration #010: testing norm threshold 0.296222 in range [0.295483, 0.296960]...	no solution exists.
	Iteration #011: testing norm threshold 0.296591 in range [0.296222, 0.296960]...	no solution exists.
	Iteration #012: testing norm threshold 0.296776 in range [0.296591, 0.296960]...	solution exists & found.
	Iteration #013: testing norm threshold 0.296683 in range [0.296591, 0.296776]...	no solution exists.
	Iteration #014: testing norm threshold 0.296730 in range [0.296683, 0.296776]...	no solution exists.
	Iteration #015: testing norm threshold 0.296753 in range [0.296730, 0.296776]...	solution exists & found.
	Iteration #016: testing norm threshold 0.296741 in range [0.296730, 0.296753]...	solution exists & found.
	Iteration #017: testing norm threshold 0.296736 in range [0.296730, 0.296741]...	no solution exists.


Factual sample: 		 {x0 : -4.37376185360975, x1 : -3.18528029455134, y: False}
Nearest counterfactual sample:	 {x0 : 2.699875471844502, x1 : -3.1850722770047257, y: True} (verified)
Minimum counterfactual distance: 0.296741
