

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


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 0.109856 in range [0.000000, 0.219712]...	no solution exists.
	Iteration #003: testing norm threshold 0.164784 in range [0.109856, 0.219712]...	solution exists & found.
	Iteration #004: testing norm threshold 0.137320 in range [0.109856, 0.164784]...	no solution exists.
	Iteration #005: testing norm threshold 0.151052 in range [0.137320, 0.164784]...	solution exists & found.
	Iteration #006: testing norm threshold 0.144186 in range [0.137320, 0.151052]...	no solution exists.
	Iteration #007: testing norm threshold 0.147619 in range [0.144186, 0.151052]...	solution exists & found.
	Iteration #008: testing norm threshold 0.145903 in range [0.144186, 0.147619]...	no solution exists.
	Iteration #009: testing norm threshold 0.146761 in range [0.145903, 0.147619]...	no solution exists.
	Iteration #010: testing norm threshold 0.147190 in range [0.146761, 0.147619]...	no solution exists.
	Iteration #011: testing norm threshold 0.147405 in range [0.147190, 0.147619]...	no solution exists.
	Iteration #012: testing norm threshold 0.147512 in range [0.147405, 0.147619]...	solution exists & found.
	Iteration #013: testing norm threshold 0.147458 in range [0.147405, 0.147512]...	solution exists & found.
	Iteration #014: testing norm threshold 0.147431 in range [0.147405, 0.147458]...	no solution exists.
	Iteration #015: testing norm threshold 0.147445 in range [0.147431, 0.147458]...	solution exists & found.
	Iteration #016: testing norm threshold 0.147438 in range [0.147431, 0.147445]...	solution exists & found.


Factual sample: 		 {x0 : -2.4089181176460723, x1 : -0.1666413022791493, y: False}
Nearest counterfactual sample:	 {x0 : 0.06696187863639551, x1 : -0.1666413022791493, y: True} (verified)
Minimum counterfactual distance: 0.147438
