

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


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 0.194439 in range [0.000000, 0.388879]...	no solution exists.
	Iteration #003: testing norm threshold 0.291659 in range [0.194439, 0.388879]...	solution exists & found.
	Iteration #004: testing norm threshold 0.241543 in range [0.194439, 0.288648]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213784 in range [0.194439, 0.233128]...	no solution exists.
	Iteration #006: testing norm threshold 0.223456 in range [0.213784, 0.233128]...	solution exists & found.
	Iteration #007: testing norm threshold 0.218620 in range [0.213784, 0.223456]...	no solution exists.
	Iteration #008: testing norm threshold 0.221038 in range [0.218620, 0.223456]...	solution exists & found.
	Iteration #009: testing norm threshold 0.219829 in range [0.218620, 0.221038]...	solution exists & found.
	Iteration #010: testing norm threshold 0.219225 in range [0.218620, 0.219829]...	no solution exists.
	Iteration #011: testing norm threshold 0.219527 in range [0.219225, 0.219829]...	no solution exists.
	Iteration #012: testing norm threshold 0.219678 in range [0.219527, 0.219829]...	no solution exists.
	Iteration #013: testing norm threshold 0.219754 in range [0.219678, 0.219829]...	solution exists & found.
	Iteration #014: testing norm threshold 0.219716 in range [0.219678, 0.219754]...	solution exists & found.
	Iteration #015: testing norm threshold 0.219697 in range [0.219678, 0.219716]...	no solution exists.
	Iteration #016: testing norm threshold 0.219707 in range [0.219697, 0.219716]...	no solution exists.


Factual sample: 		 {x0 : -1.6058101930900204, x1 : -2.725646545127129, y: False}
Nearest counterfactual sample:	 {x0 : 2.083594044732628, x1 : -2.7254489709624816, y: True} (verified)
Minimum counterfactual distance: 0.219716
