

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


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 0.230828 in range [0.000000, 0.461656]...	no solution exists.
	Iteration #003: testing norm threshold 0.346242 in range [0.230828, 0.461656]...	solution exists & found.
	Iteration #004: testing norm threshold 0.288535 in range [0.230828, 0.346242]...	no solution exists.
	Iteration #005: testing norm threshold 0.317389 in range [0.288535, 0.346242]...	no solution exists.
	Iteration #006: testing norm threshold 0.331815 in range [0.317389, 0.346242]...	solution exists & found.
	Iteration #007: testing norm threshold 0.324602 in range [0.317389, 0.331816]...	no solution exists.
	Iteration #008: testing norm threshold 0.328209 in range [0.324602, 0.331816]...	no solution exists.
	Iteration #009: testing norm threshold 0.330012 in range [0.328209, 0.331816]...	solution exists & found.
	Iteration #010: testing norm threshold 0.329111 in range [0.328209, 0.330012]...	solution exists & found.
	Iteration #011: testing norm threshold 0.328660 in range [0.328209, 0.329111]...	solution exists & found.
	Iteration #012: testing norm threshold 0.328434 in range [0.328209, 0.328660]...	no solution exists.
	Iteration #013: testing norm threshold 0.328547 in range [0.328434, 0.328660]...	no solution exists.
	Iteration #014: testing norm threshold 0.328603 in range [0.328547, 0.328660]...	solution exists & found.
	Iteration #015: testing norm threshold 0.328575 in range [0.328547, 0.328604]...	solution exists & found.
	Iteration #016: testing norm threshold 0.328561 in range [0.328547, 0.328575]...	solution exists & found.
	Iteration #017: testing norm threshold 0.328554 in range [0.328547, 0.328561]...	solution exists & found.


Factual sample: 		 {x0 : -5.1206806929351085, x1 : -3.908094268821743, y: False}
Nearest counterfactual sample:	 {x0 : 2.9073304330601144, x1 : -3.9079881700105243, y: True} (verified)
Minimum counterfactual distance: 0.328554
