

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.199443 in range [0.000000, 0.398886]...	no solution exists.
	Iteration #003: testing norm threshold 0.299165 in range [0.199443, 0.398886]...	no solution exists.
	Iteration #004: testing norm threshold 0.349025 in range [0.299165, 0.398886]...	no solution exists.
	Iteration #005: testing norm threshold 0.373956 in range [0.349025, 0.398886]...	solution exists & found.
	Iteration #006: testing norm threshold 0.361491 in range [0.349025, 0.373956]...	solution exists & found.
	Iteration #007: testing norm threshold 0.355258 in range [0.349025, 0.361491]...	solution exists & found.
	Iteration #008: testing norm threshold 0.352142 in range [0.349025, 0.355258]...	no solution exists.
	Iteration #009: testing norm threshold 0.353700 in range [0.352142, 0.355258]...	solution exists & found.
	Iteration #010: testing norm threshold 0.352921 in range [0.352142, 0.353700]...	no solution exists.
	Iteration #011: testing norm threshold 0.353311 in range [0.352921, 0.353700]...	no solution exists.
	Iteration #012: testing norm threshold 0.353505 in range [0.353311, 0.353700]...	no solution exists.
	Iteration #013: testing norm threshold 0.353603 in range [0.353505, 0.353700]...	no solution exists.
	Iteration #014: testing norm threshold 0.353651 in range [0.353603, 0.353700]...	no solution exists.
	Iteration #015: testing norm threshold 0.353676 in range [0.353651, 0.353700]...	no solution exists.
	Iteration #016: testing norm threshold 0.353688 in range [0.353676, 0.353700]...	no solution exists.
	Iteration #017: testing norm threshold 0.353694 in range [0.353688, 0.353700]...	no solution exists.


Factual sample: 		 {x0 : -5.400574198494303, x1 : -3.480462784295506, y: False}
Nearest counterfactual sample:	 {x0 : 3.64996401941031, x1 : -3.48007191350037, y: True} (verified)
Minimum counterfactual distance: 0.353700
