

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


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 0.116283 in range [0.000000, 0.232566]...	no solution exists.
	Iteration #003: testing norm threshold 0.174424 in range [0.116283, 0.232566]...	solution exists & found.
	Iteration #004: testing norm threshold 0.143273 in range [0.116283, 0.170263]...	no solution exists.
	Iteration #005: testing norm threshold 0.156768 in range [0.143273, 0.170263]...	no solution exists.
	Iteration #006: testing norm threshold 0.163516 in range [0.156768, 0.170263]...	solution exists & found.
	Iteration #007: testing norm threshold 0.160142 in range [0.156768, 0.163516]...	solution exists & found.
	Iteration #008: testing norm threshold 0.158455 in range [0.156768, 0.160142]...	solution exists & found.
	Iteration #009: testing norm threshold 0.157612 in range [0.156768, 0.158455]...	solution exists & found.
	Iteration #010: testing norm threshold 0.157190 in range [0.156768, 0.157612]...	solution exists & found.
	Iteration #011: testing norm threshold 0.156979 in range [0.156768, 0.157190]...	solution exists & found.
	Iteration #012: testing norm threshold 0.156874 in range [0.156768, 0.156979]...	solution exists & found.
	Iteration #013: testing norm threshold 0.156821 in range [0.156768, 0.156874]...	no solution exists.
	Iteration #014: testing norm threshold 0.156847 in range [0.156821, 0.156874]...	solution exists & found.
	Iteration #015: testing norm threshold 0.156834 in range [0.156821, 0.156848]...	no solution exists.
	Iteration #016: testing norm threshold 0.156841 in range [0.156834, 0.156848]...	no solution exists.


Factual sample: 		 {x0 : -1.2360588146994853, x1 : -1.8553225538066156, y: False}
Nearest counterfactual sample:	 {x0 : 1.3978282606853585, x1 : -1.8553225538066156, y: True} (verified)
Minimum counterfactual distance: 0.156847
