

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


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 0.202900 in range [0.000000, 0.405800]...	no solution exists.
	Iteration #003: testing norm threshold 0.304350 in range [0.202900, 0.405800]...	solution exists & found.
	Iteration #004: testing norm threshold 0.253625 in range [0.202900, 0.304350]...	no solution exists.
	Iteration #005: testing norm threshold 0.278988 in range [0.253625, 0.304350]...	no solution exists.
	Iteration #006: testing norm threshold 0.291669 in range [0.278988, 0.304350]...	solution exists & found.
	Iteration #007: testing norm threshold 0.285328 in range [0.278988, 0.291669]...	no solution exists.
	Iteration #008: testing norm threshold 0.288499 in range [0.285328, 0.291669]...	solution exists & found.
	Iteration #009: testing norm threshold 0.286913 in range [0.285328, 0.288499]...	solution exists & found.
	Iteration #010: testing norm threshold 0.286121 in range [0.285328, 0.286914]...	no solution exists.
	Iteration #011: testing norm threshold 0.286517 in range [0.286121, 0.286914]...	solution exists & found.
	Iteration #012: testing norm threshold 0.286319 in range [0.286121, 0.286517]...	no solution exists.
	Iteration #013: testing norm threshold 0.286418 in range [0.286319, 0.286517]...	solution exists & found.
	Iteration #014: testing norm threshold 0.286369 in range [0.286319, 0.286418]...	no solution exists.
	Iteration #015: testing norm threshold 0.286393 in range [0.286369, 0.286418]...	no solution exists.
	Iteration #016: testing norm threshold 0.286406 in range [0.286393, 0.286418]...	no solution exists.
	Iteration #017: testing norm threshold 0.286412 in range [0.286406, 0.286418]...	no solution exists.


Factual sample: 		 {x0 : -4.935855627644195, x1 : -2.8095964670860902, y: False}
Nearest counterfactual sample:	 {x0 : 2.0626886944497786, x1 : -2.8095964670860902, y: True} (verified)
Minimum counterfactual distance: 0.286418
