

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.146084 in range [0.000000, 0.292169]...	no solution exists.
	Iteration #003: testing norm threshold 0.219126 in range [0.146084, 0.292169]...	no solution exists.
	Iteration #004: testing norm threshold 0.255648 in range [0.219126, 0.292169]...	no solution exists.
	Iteration #005: testing norm threshold 0.273908 in range [0.255648, 0.292169]...	no solution exists.
	Iteration #006: testing norm threshold 0.283038 in range [0.273908, 0.292169]...	solution exists & found.
	Iteration #007: testing norm threshold 0.278473 in range [0.273908, 0.283038]...	no solution exists.
	Iteration #008: testing norm threshold 0.280756 in range [0.278473, 0.283038]...	solution exists & found.
	Iteration #009: testing norm threshold 0.279615 in range [0.278473, 0.280756]...	no solution exists.
	Iteration #010: testing norm threshold 0.280185 in range [0.279615, 0.280756]...	solution exists & found.
	Iteration #011: testing norm threshold 0.279900 in range [0.279615, 0.280185]...	no solution exists.
	Iteration #012: testing norm threshold 0.280043 in range [0.279900, 0.280185]...	solution exists & found.
	Iteration #013: testing norm threshold 0.279971 in range [0.279900, 0.280043]...	solution exists & found.
	Iteration #014: testing norm threshold 0.279936 in range [0.279900, 0.279971]...	no solution exists.
	Iteration #015: testing norm threshold 0.279954 in range [0.279936, 0.279971]...	no solution exists.
	Iteration #016: testing norm threshold 0.279963 in range [0.279954, 0.279971]...	solution exists & found.


Factual sample: 		 {x0 : -4.671187190372869, x1 : -2.948559419184797, y: False}
Nearest counterfactual sample:	 {x0 : 2.1694802826161474, x1 : -2.9484344718922464, y: True} (verified)
Minimum counterfactual distance: 0.279963
