

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


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 0.200539 in range [0.000000, 0.401077]...	no solution exists.
	Iteration #003: testing norm threshold 0.300808 in range [0.200539, 0.401077]...	solution exists & found.
	Iteration #004: testing norm threshold 0.250673 in range [0.200539, 0.300808]...	no solution exists.
	Iteration #005: testing norm threshold 0.275741 in range [0.250673, 0.300808]...	no solution exists.
	Iteration #006: testing norm threshold 0.288274 in range [0.275741, 0.300808]...	solution exists & found.
	Iteration #007: testing norm threshold 0.282008 in range [0.275741, 0.288275]...	solution exists & found.
	Iteration #008: testing norm threshold 0.278874 in range [0.275741, 0.282008]...	no solution exists.
	Iteration #009: testing norm threshold 0.280441 in range [0.278874, 0.282008]...	solution exists & found.
	Iteration #010: testing norm threshold 0.279658 in range [0.278874, 0.280441]...	no solution exists.
	Iteration #011: testing norm threshold 0.280049 in range [0.279658, 0.280441]...	solution exists & found.
	Iteration #012: testing norm threshold 0.279854 in range [0.279658, 0.280049]...	no solution exists.
	Iteration #013: testing norm threshold 0.279952 in range [0.279854, 0.280049]...	no solution exists.
	Iteration #014: testing norm threshold 0.280001 in range [0.279952, 0.280049]...	solution exists & found.
	Iteration #015: testing norm threshold 0.279976 in range [0.279952, 0.280001]...	solution exists & found.
	Iteration #016: testing norm threshold 0.279964 in range [0.279952, 0.279976]...	solution exists & found.
	Iteration #017: testing norm threshold 0.279958 in range [0.279952, 0.279964]...	no solution exists.


Factual sample: 		 {x0 : -4.671187190372869, x1 : -2.948559419184797, y: False}
Nearest counterfactual sample:	 {x0 : 2.1694553465816804, x1 : -2.948380697622488, y: True} (verified)
Minimum counterfactual distance: 0.279964
