

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


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 0.191264 in range [0.000000, 0.382528]...	no solution exists.
	Iteration #003: testing norm threshold 0.286896 in range [0.191264, 0.382528]...	solution exists & found.
	Iteration #004: testing norm threshold 0.239080 in range [0.191264, 0.286896]...	no solution exists.
	Iteration #005: testing norm threshold 0.262988 in range [0.239080, 0.286896]...	solution exists & found.
	Iteration #006: testing norm threshold 0.251034 in range [0.239080, 0.262988]...	no solution exists.
	Iteration #007: testing norm threshold 0.257011 in range [0.251034, 0.262988]...	no solution exists.
	Iteration #008: testing norm threshold 0.259999 in range [0.257011, 0.262988]...	no solution exists.
	Iteration #009: testing norm threshold 0.261494 in range [0.259999, 0.262988]...	no solution exists.
	Iteration #010: testing norm threshold 0.262241 in range [0.261494, 0.262988]...	solution exists & found.
	Iteration #011: testing norm threshold 0.261867 in range [0.261494, 0.262241]...	solution exists & found.
	Iteration #012: testing norm threshold 0.261681 in range [0.261494, 0.261867]...	solution exists & found.
	Iteration #013: testing norm threshold 0.261587 in range [0.261494, 0.261681]...	no solution exists.
	Iteration #014: testing norm threshold 0.261634 in range [0.261587, 0.261681]...	solution exists & found.
	Iteration #015: testing norm threshold 0.261611 in range [0.261587, 0.261634]...	no solution exists.
	Iteration #016: testing norm threshold 0.261622 in range [0.261611, 0.261634]...	solution exists & found.
	Iteration #017: testing norm threshold 0.261617 in range [0.261611, 0.261622]...	no solution exists.


Factual sample: 		 {x0 : -3.4510844928696773, x1 : -3.9525198877158494, y: False}
Nearest counterfactual sample:	 {x0 : 2.9415116265672583, x1 : -3.952456456571097, y: True} (verified)
Minimum counterfactual distance: 0.261622
