

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 0.099294 in range [0.000000, 0.198589]...	no solution exists.
	Iteration #003: testing norm threshold 0.148942 in range [0.099294, 0.198589]...	no solution exists.
	Iteration #004: testing norm threshold 0.173765 in range [0.148942, 0.198589]...	no solution exists.
	Iteration #005: testing norm threshold 0.186177 in range [0.173765, 0.198589]...	no solution exists.
	Iteration #006: testing norm threshold 0.192383 in range [0.186177, 0.198589]...	solution exists & found.
	Iteration #007: testing norm threshold 0.189280 in range [0.186177, 0.192383]...	solution exists & found.
	Iteration #008: testing norm threshold 0.187729 in range [0.186177, 0.189280]...	solution exists & found.
	Iteration #009: testing norm threshold 0.186953 in range [0.186177, 0.187729]...	solution exists & found.
	Iteration #010: testing norm threshold 0.186565 in range [0.186177, 0.186953]...	solution exists & found.
	Iteration #011: testing norm threshold 0.186371 in range [0.186177, 0.186565]...	no solution exists.
	Iteration #012: testing norm threshold 0.186468 in range [0.186371, 0.186565]...	solution exists & found.
	Iteration #013: testing norm threshold 0.186420 in range [0.186371, 0.186468]...	solution exists & found.
	Iteration #014: testing norm threshold 0.186396 in range [0.186371, 0.186420]...	solution exists & found.
	Iteration #015: testing norm threshold 0.186383 in range [0.186371, 0.186396]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186377 in range [0.186371, 0.186384]...	no solution exists.


Factual sample: 		 {x0 : -3.171951415931164, x1 : -1.9246347352764988, y: False}
Nearest counterfactual sample:	 {x0 : 1.382272157743177, x1 : -1.9246347352764988, y: True} (verified)
Minimum counterfactual distance: 0.186383
