

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


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 0.088046 in range [0.000000, 0.176092]...	no solution exists.
	Iteration #003: testing norm threshold 0.132069 in range [0.088046, 0.176092]...	no solution exists.
	Iteration #004: testing norm threshold 0.154080 in range [0.132069, 0.176092]...	no solution exists.
	Iteration #005: testing norm threshold 0.165086 in range [0.154080, 0.176092]...	solution exists & found.
	Iteration #006: testing norm threshold 0.159583 in range [0.154080, 0.165086]...	no solution exists.
	Iteration #007: testing norm threshold 0.162335 in range [0.159583, 0.165086]...	no solution exists.
	Iteration #008: testing norm threshold 0.163711 in range [0.162335, 0.165086]...	solution exists & found.
	Iteration #009: testing norm threshold 0.163023 in range [0.162335, 0.163711]...	no solution exists.
	Iteration #010: testing norm threshold 0.163367 in range [0.163023, 0.163711]...	solution exists & found.
	Iteration #011: testing norm threshold 0.163195 in range [0.163023, 0.163367]...	solution exists & found.
	Iteration #012: testing norm threshold 0.163109 in range [0.163023, 0.163195]...	no solution exists.
	Iteration #013: testing norm threshold 0.163152 in range [0.163109, 0.163195]...	no solution exists.
	Iteration #014: testing norm threshold 0.163173 in range [0.163152, 0.163195]...	solution exists & found.
	Iteration #015: testing norm threshold 0.163163 in range [0.163152, 0.163173]...	no solution exists.
	Iteration #016: testing norm threshold 0.163168 in range [0.163163, 0.163173]...	solution exists & found.


Factual sample: 		 {x0 : -2.0647376945892786, x1 : -2.1276127567001777, y: False}
Nearest counterfactual sample:	 {x0 : 1.8249345591356865, x1 : -2.1276127567001777, y: True} (verified)
Minimum counterfactual distance: 0.163168
