

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


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 0.143863 in range [0.000000, 0.287725]...	no solution exists.
	Iteration #003: testing norm threshold 0.215794 in range [0.143863, 0.287725]...	no solution exists.
	Iteration #004: testing norm threshold 0.251760 in range [0.215794, 0.287725]...	no solution exists.
	Iteration #005: testing norm threshold 0.269742 in range [0.251760, 0.287725]...	no solution exists.
	Iteration #006: testing norm threshold 0.278734 in range [0.269742, 0.287725]...	solution exists & found.
	Iteration #007: testing norm threshold 0.274238 in range [0.269742, 0.278734]...	no solution exists.
	Iteration #008: testing norm threshold 0.276486 in range [0.274238, 0.278734]...	solution exists & found.
	Iteration #009: testing norm threshold 0.275362 in range [0.274238, 0.276486]...	solution exists & found.
	Iteration #010: testing norm threshold 0.274800 in range [0.274238, 0.275362]...	no solution exists.
	Iteration #011: testing norm threshold 0.275081 in range [0.274800, 0.275362]...	solution exists & found.
	Iteration #012: testing norm threshold 0.274941 in range [0.274800, 0.275081]...	solution exists & found.
	Iteration #013: testing norm threshold 0.274870 in range [0.274800, 0.274941]...	solution exists & found.
	Iteration #014: testing norm threshold 0.274835 in range [0.274800, 0.274871]...	solution exists & found.
	Iteration #015: testing norm threshold 0.274818 in range [0.274800, 0.274835]...	solution exists & found.
	Iteration #016: testing norm threshold 0.274809 in range [0.274800, 0.274818]...	solution exists & found.


Factual sample: 		 {x0 : -3.6709842549130896, x1 : -3.4026329023430644, y: False}
Nearest counterfactual sample:	 {x0 : 2.8795181910355465, x1 : -3.402126816211774, y: True} (verified)
Minimum counterfactual distance: 0.274809
