

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


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 0.170987 in range [0.000000, 0.341974]...	no solution exists.
	Iteration #003: testing norm threshold 0.256481 in range [0.170987, 0.341974]...	solution exists & found.
	Iteration #004: testing norm threshold 0.207894 in range [0.170987, 0.244800]...	no solution exists.
	Iteration #005: testing norm threshold 0.226347 in range [0.207894, 0.244800]...	no solution exists.
	Iteration #006: testing norm threshold 0.235573 in range [0.226347, 0.244800]...	solution exists & found.
	Iteration #007: testing norm threshold 0.230960 in range [0.226347, 0.235573]...	no solution exists.
	Iteration #008: testing norm threshold 0.233267 in range [0.230960, 0.235573]...	solution exists & found.
	Iteration #009: testing norm threshold 0.232113 in range [0.230960, 0.233267]...	no solution exists.
	Iteration #010: testing norm threshold 0.232690 in range [0.232113, 0.233267]...	solution exists & found.
	Iteration #011: testing norm threshold 0.232402 in range [0.232113, 0.232690]...	no solution exists.
	Iteration #012: testing norm threshold 0.232546 in range [0.232402, 0.232690]...	no solution exists.
	Iteration #013: testing norm threshold 0.232618 in range [0.232546, 0.232690]...	solution exists & found.
	Iteration #014: testing norm threshold 0.232582 in range [0.232546, 0.232618]...	no solution exists.
	Iteration #015: testing norm threshold 0.232600 in range [0.232582, 0.232618]...	solution exists & found.
	Iteration #016: testing norm threshold 0.232591 in range [0.232582, 0.232600]...	solution exists & found.


Factual sample: 		 {x0 : -3.5841863063552792, x1 : -2.8569573750432, y: False}
Nearest counterfactual sample:	 {x0 : 2.0991067175991556, x1 : -2.856962181156199, y: True} (verified)
Minimum counterfactual distance: 0.232591
