

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


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 0.093629 in range [0.000000, 0.187259]...	no solution exists.
	Iteration #003: testing norm threshold 0.140444 in range [0.093629, 0.187259]...	no solution exists.
	Iteration #004: testing norm threshold 0.163852 in range [0.140444, 0.187259]...	no solution exists.
	Iteration #005: testing norm threshold 0.175555 in range [0.163852, 0.187259]...	solution exists & found.
	Iteration #006: testing norm threshold 0.169703 in range [0.163852, 0.175555]...	no solution exists.
	Iteration #007: testing norm threshold 0.172629 in range [0.169703, 0.175555]...	no solution exists.
	Iteration #008: testing norm threshold 0.174092 in range [0.172629, 0.175555]...	solution exists & found.
	Iteration #009: testing norm threshold 0.173361 in range [0.172629, 0.174093]...	no solution exists.
	Iteration #010: testing norm threshold 0.173727 in range [0.173361, 0.174093]...	no solution exists.
	Iteration #011: testing norm threshold 0.173910 in range [0.173727, 0.174093]...	solution exists & found.
	Iteration #012: testing norm threshold 0.173818 in range [0.173727, 0.173910]...	no solution exists.
	Iteration #013: testing norm threshold 0.173864 in range [0.173818, 0.173910]...	solution exists & found.
	Iteration #014: testing norm threshold 0.173841 in range [0.173818, 0.173864]...	solution exists & found.
	Iteration #015: testing norm threshold 0.173830 in range [0.173818, 0.173841]...	no solution exists.
	Iteration #016: testing norm threshold 0.173836 in range [0.173830, 0.173841]...	no solution exists.


Factual sample: 		 {x0 : -2.508480884969873, x1 : -0.6029485157681818, y: False}
Nearest counterfactual sample:	 {x0 : 0.41073038093731346, x1 : -0.6029066184230484, y: True} (verified)
Minimum counterfactual distance: 0.173841
