

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


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 0.086506 in range [0.000000, 0.173011]...	no solution exists.
	Iteration #003: testing norm threshold 0.129758 in range [0.086506, 0.173011]...	no solution exists.
	Iteration #004: testing norm threshold 0.151385 in range [0.129758, 0.173011]...	no solution exists.
	Iteration #005: testing norm threshold 0.162198 in range [0.151385, 0.173011]...	solution exists & found.
	Iteration #006: testing norm threshold 0.156792 in range [0.151385, 0.162198]...	no solution exists.
	Iteration #007: testing norm threshold 0.159495 in range [0.156792, 0.162198]...	no solution exists.
	Iteration #008: testing norm threshold 0.160846 in range [0.159495, 0.162198]...	solution exists & found.
	Iteration #009: testing norm threshold 0.160171 in range [0.159495, 0.160847]...	solution exists & found.
	Iteration #010: testing norm threshold 0.159833 in range [0.159495, 0.160171]...	solution exists & found.
	Iteration #011: testing norm threshold 0.159664 in range [0.159495, 0.159833]...	solution exists & found.
	Iteration #012: testing norm threshold 0.159579 in range [0.159495, 0.159664]...	no solution exists.
	Iteration #013: testing norm threshold 0.159622 in range [0.159579, 0.159664]...	solution exists & found.
	Iteration #014: testing norm threshold 0.159601 in range [0.159579, 0.159622]...	solution exists & found.
	Iteration #015: testing norm threshold 0.159590 in range [0.159579, 0.159601]...	no solution exists.
	Iteration #016: testing norm threshold 0.159595 in range [0.159590, 0.159601]...	solution exists & found.


Factual sample: 		 {x0 : -1.7806773555039406, x1 : -1.222836491216763, y: False}
Nearest counterfactual sample:	 {x0 : 0.899248673761623, x1 : -1.2227385243414168, y: True} (verified)
Minimum counterfactual distance: 0.159595
