

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


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 0.140765 in range [0.000000, 0.281530]...	no solution exists.
	Iteration #003: testing norm threshold 0.211147 in range [0.140765, 0.281530]...	no solution exists.
	Iteration #004: testing norm threshold 0.246338 in range [0.211147, 0.281530]...	no solution exists.
	Iteration #005: testing norm threshold 0.263934 in range [0.246338, 0.281530]...	no solution exists.
	Iteration #006: testing norm threshold 0.272732 in range [0.263934, 0.281530]...	solution exists & found.
	Iteration #007: testing norm threshold 0.268333 in range [0.263934, 0.272732]...	no solution exists.
	Iteration #008: testing norm threshold 0.270532 in range [0.268333, 0.272732]...	solution exists & found.
	Iteration #009: testing norm threshold 0.269433 in range [0.268333, 0.270533]...	solution exists & found.
	Iteration #010: testing norm threshold 0.268883 in range [0.268333, 0.269433]...	no solution exists.
	Iteration #011: testing norm threshold 0.269158 in range [0.268883, 0.269433]...	no solution exists.
	Iteration #012: testing norm threshold 0.269295 in range [0.269158, 0.269433]...	no solution exists.
	Iteration #013: testing norm threshold 0.269364 in range [0.269295, 0.269433]...	solution exists & found.
	Iteration #014: testing norm threshold 0.269330 in range [0.269295, 0.269364]...	solution exists & found.
	Iteration #015: testing norm threshold 0.269313 in range [0.269295, 0.269330]...	no solution exists.
	Iteration #016: testing norm threshold 0.269321 in range [0.269313, 0.269330]...	solution exists & found.


Factual sample: 		 {x0 : -3.45034518483309, x1 : -4.198149802293137, y: False}
Nearest counterfactual sample:	 {x0 : 3.13044012027635, x1 : -4.198149802293137, y: True} (verified)
Minimum counterfactual distance: 0.269321
