

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


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 0.147567 in range [0.000000, 0.295134]...	no solution exists.
	Iteration #003: testing norm threshold 0.221351 in range [0.147567, 0.295134]...	no solution exists.
	Iteration #004: testing norm threshold 0.258243 in range [0.221351, 0.295134]...	no solution exists.
	Iteration #005: testing norm threshold 0.276688 in range [0.258243, 0.295134]...	no solution exists.
	Iteration #006: testing norm threshold 0.285911 in range [0.276688, 0.295134]...	solution exists & found.
	Iteration #007: testing norm threshold 0.281300 in range [0.276688, 0.285911]...	no solution exists.
	Iteration #008: testing norm threshold 0.283606 in range [0.281300, 0.285911]...	solution exists & found.
	Iteration #009: testing norm threshold 0.282453 in range [0.281300, 0.283606]...	solution exists & found.
	Iteration #010: testing norm threshold 0.281876 in range [0.281300, 0.282453]...	solution exists & found.
	Iteration #011: testing norm threshold 0.281588 in range [0.281300, 0.281877]...	no solution exists.
	Iteration #012: testing norm threshold 0.281732 in range [0.281588, 0.281877]...	solution exists & found.
	Iteration #013: testing norm threshold 0.281660 in range [0.281588, 0.281733]...	no solution exists.
	Iteration #014: testing norm threshold 0.281696 in range [0.281660, 0.281733]...	no solution exists.
	Iteration #015: testing norm threshold 0.281714 in range [0.281696, 0.281733]...	no solution exists.
	Iteration #016: testing norm threshold 0.281723 in range [0.281714, 0.281733]...	solution exists & found.


Factual sample: 		 {x0 : -2.6132649186715926, x1 : -2.768519326510733, y: False}
Nearest counterfactual sample:	 {x0 : 2.1176231878768252, x1 : -2.768519326510733, y: True} (verified)
Minimum counterfactual distance: 0.281723
