

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


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 0.119201 in range [0.000000, 0.238403]...	no solution exists.
	Iteration #003: testing norm threshold 0.178802 in range [0.119201, 0.238403]...	no solution exists.
	Iteration #004: testing norm threshold 0.208602 in range [0.178802, 0.238403]...	no solution exists.
	Iteration #005: testing norm threshold 0.223502 in range [0.208602, 0.238403]...	no solution exists.
	Iteration #006: testing norm threshold 0.230952 in range [0.223502, 0.238403]...	solution exists & found.
	Iteration #007: testing norm threshold 0.227227 in range [0.223502, 0.230953]...	solution exists & found.
	Iteration #008: testing norm threshold 0.225365 in range [0.223502, 0.227228]...	solution exists & found.
	Iteration #009: testing norm threshold 0.224434 in range [0.223502, 0.225365]...	no solution exists.
	Iteration #010: testing norm threshold 0.224899 in range [0.224434, 0.225365]...	no solution exists.
	Iteration #011: testing norm threshold 0.225132 in range [0.224899, 0.225365]...	solution exists & found.
	Iteration #012: testing norm threshold 0.225016 in range [0.224899, 0.225132]...	solution exists & found.
	Iteration #013: testing norm threshold 0.224958 in range [0.224899, 0.225016]...	no solution exists.
	Iteration #014: testing norm threshold 0.224987 in range [0.224958, 0.225016]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224972 in range [0.224958, 0.224987]...	no solution exists.
	Iteration #016: testing norm threshold 0.224980 in range [0.224972, 0.224987]...	no solution exists.


Factual sample: 		 {x0 : -1.343804337907946, x1 : -3.170467177708661, y: False}
Nearest counterfactual sample:	 {x0 : 2.4343243892629634, x1 : -3.170467177708661, y: True} (verified)
Minimum counterfactual distance: 0.224987
