

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_counterfactual,
                           'upper_bound': 8913627213352543/2251799813685248}},
 'interventional': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_interventional,
                           'upper_bound': 8913627213352543/2251799813685248}},
 '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 0.113644 in range [0.000000, 0.227288]...	no solution exists.
	Iteration #003: testing norm threshold 0.170466 in range [0.113644, 0.227288]...	no solution exists.
	Iteration #004: testing norm threshold 0.198877 in range [0.170466, 0.227288]...	no solution exists.
	Iteration #005: testing norm threshold 0.213082 in range [0.198877, 0.227288]...	no solution exists.
	Iteration #006: testing norm threshold 0.220185 in range [0.213082, 0.227288]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216634 in range [0.213082, 0.220185]...	solution exists & found.
	Iteration #008: testing norm threshold 0.214858 in range [0.213082, 0.216634]...	solution exists & found.
	Iteration #009: testing norm threshold 0.213970 in range [0.213082, 0.214858]...	solution exists & found.
	Iteration #010: testing norm threshold 0.213526 in range [0.213082, 0.213970]...	no solution exists.
	Iteration #011: testing norm threshold 0.213748 in range [0.213526, 0.213970]...	no solution exists.
	Iteration #012: testing norm threshold 0.213859 in range [0.213748, 0.213970]...	no solution exists.
	Iteration #013: testing norm threshold 0.213915 in range [0.213859, 0.213970]...	solution exists & found.
	Iteration #014: testing norm threshold 0.213887 in range [0.213859, 0.213915]...	solution exists & found.
	Iteration #015: testing norm threshold 0.213873 in range [0.213859, 0.213887]...	solution exists & found.
	Iteration #016: testing norm threshold 0.213866 in range [0.213859, 0.213873]...	no solution exists.


Factual sample: 		 {x0 : -1.7275599237900374, x1 : -2.446718623483088, y: False}
Nearest counterfactual sample:	 {x0 : 1.8639435654935452, x1 : -2.446718623483088, y: True} (verified)
Minimum counterfactual distance: 0.213873
