

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


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 0.144108 in range [0.000000, 0.288217]...	no solution exists.
	Iteration #003: testing norm threshold 0.216163 in range [0.144108, 0.288217]...	no solution exists.
	Iteration #004: testing norm threshold 0.252190 in range [0.216163, 0.288217]...	no solution exists.
	Iteration #005: testing norm threshold 0.270203 in range [0.252190, 0.288217]...	no solution exists.
	Iteration #006: testing norm threshold 0.279210 in range [0.270203, 0.288217]...	solution exists & found.
	Iteration #007: testing norm threshold 0.274707 in range [0.270203, 0.279210]...	no solution exists.
	Iteration #008: testing norm threshold 0.276959 in range [0.274707, 0.279210]...	solution exists & found.
	Iteration #009: testing norm threshold 0.275833 in range [0.274707, 0.276959]...	no solution exists.
	Iteration #010: testing norm threshold 0.276396 in range [0.275833, 0.276959]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276114 in range [0.275833, 0.276396]...	solution exists & found.
	Iteration #012: testing norm threshold 0.275974 in range [0.275833, 0.276114]...	no solution exists.
	Iteration #013: testing norm threshold 0.276044 in range [0.275974, 0.276114]...	solution exists & found.
	Iteration #014: testing norm threshold 0.276009 in range [0.275974, 0.276044]...	solution exists & found.
	Iteration #015: testing norm threshold 0.275991 in range [0.275974, 0.276009]...	no solution exists.
	Iteration #016: testing norm threshold 0.276000 in range [0.275991, 0.276009]...	no solution exists.


Factual sample: 		 {x0 : -4.083145260591804, x1 : -3.587717197932672, y: False}
Nearest counterfactual sample:	 {x0 : 2.6610375318471977, x1 : -3.587727606525582, y: True} (verified)
Minimum counterfactual distance: 0.276009
