

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


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 0.153216 in range [0.000000, 0.306432]...	no solution exists.
	Iteration #003: testing norm threshold 0.229824 in range [0.153216, 0.306432]...	solution exists & found.
	Iteration #004: testing norm threshold 0.188779 in range [0.153216, 0.224342]...	no solution exists.
	Iteration #005: testing norm threshold 0.206560 in range [0.188779, 0.224342]...	no solution exists.
	Iteration #006: testing norm threshold 0.215451 in range [0.206560, 0.224342]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211006 in range [0.206560, 0.215451]...	solution exists & found.
	Iteration #008: testing norm threshold 0.208783 in range [0.206560, 0.211006]...	no solution exists.
	Iteration #009: testing norm threshold 0.209895 in range [0.208783, 0.211006]...	no solution exists.
	Iteration #010: testing norm threshold 0.210450 in range [0.209895, 0.211006]...	no solution exists.
	Iteration #011: testing norm threshold 0.210728 in range [0.210450, 0.211006]...	no solution exists.
	Iteration #012: testing norm threshold 0.210867 in range [0.210728, 0.211006]...	no solution exists.
	Iteration #013: testing norm threshold 0.210936 in range [0.210867, 0.211006]...	solution exists & found.
	Iteration #014: testing norm threshold 0.210902 in range [0.210867, 0.210937]...	no solution exists.
	Iteration #015: testing norm threshold 0.210919 in range [0.210902, 0.210937]...	no solution exists.
	Iteration #016: testing norm threshold 0.210928 in range [0.210919, 0.210937]...	solution exists & found.


Factual sample: 		 {x0 : -1.4383411584371597, x1 : -2.750919231232928, y: False}
Nearest counterfactual sample:	 {x0 : 2.1035341790844644, x1 : -2.7507661142044526, y: True} (verified)
Minimum counterfactual distance: 0.210928
