

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


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 0.088585 in range [0.000000, 0.177170]...	no solution exists.
	Iteration #003: testing norm threshold 0.132878 in range [0.088585, 0.177170]...	no solution exists.
	Iteration #004: testing norm threshold 0.155024 in range [0.132878, 0.177170]...	no solution exists.
	Iteration #005: testing norm threshold 0.166097 in range [0.155024, 0.177170]...	solution exists & found.
	Iteration #006: testing norm threshold 0.160560 in range [0.155024, 0.166097]...	no solution exists.
	Iteration #007: testing norm threshold 0.163329 in range [0.160560, 0.166097]...	no solution exists.
	Iteration #008: testing norm threshold 0.164713 in range [0.163329, 0.166097]...	solution exists & found.
	Iteration #009: testing norm threshold 0.164021 in range [0.163329, 0.164713]...	solution exists & found.
	Iteration #010: testing norm threshold 0.163675 in range [0.163329, 0.164021]...	no solution exists.
	Iteration #011: testing norm threshold 0.163848 in range [0.163675, 0.164021]...	solution exists & found.
	Iteration #012: testing norm threshold 0.163761 in range [0.163675, 0.163848]...	solution exists & found.
	Iteration #013: testing norm threshold 0.163718 in range [0.163675, 0.163762]...	no solution exists.
	Iteration #014: testing norm threshold 0.163740 in range [0.163718, 0.163762]...	no solution exists.
	Iteration #015: testing norm threshold 0.163751 in range [0.163740, 0.163762]...	no solution exists.
	Iteration #016: testing norm threshold 0.163756 in range [0.163751, 0.163762]...	solution exists & found.


Factual sample: 		 {x0 : -1.896296243205044, x1 : -1.164747845610166, y: False}
Nearest counterfactual sample:	 {x0 : 0.8534398622920932, x1 : -1.164593910587022, y: True} (verified)
Minimum counterfactual distance: 0.163756
