

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


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 0.202623 in range [0.000000, 0.405246]...	no solution exists.
	Iteration #003: testing norm threshold 0.303934 in range [0.202623, 0.405246]...	solution exists & found.
	Iteration #004: testing norm threshold 0.247660 in range [0.202623, 0.292698]...	solution exists & found.
	Iteration #005: testing norm threshold 0.225142 in range [0.202623, 0.247660]...	no solution exists.
	Iteration #006: testing norm threshold 0.236401 in range [0.225142, 0.247660]...	no solution exists.
	Iteration #007: testing norm threshold 0.242031 in range [0.236401, 0.247660]...	no solution exists.
	Iteration #008: testing norm threshold 0.244845 in range [0.242031, 0.247660]...	solution exists & found.
	Iteration #009: testing norm threshold 0.243438 in range [0.242031, 0.244846]...	solution exists & found.
	Iteration #010: testing norm threshold 0.242734 in range [0.242031, 0.243438]...	no solution exists.
	Iteration #011: testing norm threshold 0.243086 in range [0.242734, 0.243438]...	solution exists & found.
	Iteration #012: testing norm threshold 0.242910 in range [0.242734, 0.243086]...	solution exists & found.
	Iteration #013: testing norm threshold 0.242822 in range [0.242734, 0.242910]...	solution exists & found.
	Iteration #014: testing norm threshold 0.242778 in range [0.242734, 0.242823]...	solution exists & found.
	Iteration #015: testing norm threshold 0.242756 in range [0.242734, 0.242779]...	no solution exists.
	Iteration #016: testing norm threshold 0.242768 in range [0.242756, 0.242779]...	no solution exists.
	Iteration #017: testing norm threshold 0.242773 in range [0.242768, 0.242779]...	solution exists & found.


Factual sample: 		 {x0 : -2.873941964231423, x1 : -4.104141075238388, y: False}
Nearest counterfactual sample:	 {x0 : 3.0581394872232304, x1 : -4.104147090503125, y: True} (verified)
Minimum counterfactual distance: 0.242773
