

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


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 0.132562 in range [0.000000, 0.265123]...	no solution exists.
	Iteration #003: testing norm threshold 0.198842 in range [0.132562, 0.265123]...	solution exists & found.
	Iteration #004: testing norm threshold 0.165702 in range [0.132562, 0.198843]...	no solution exists.
	Iteration #005: testing norm threshold 0.182272 in range [0.165702, 0.198843]...	solution exists & found.
	Iteration #006: testing norm threshold 0.173987 in range [0.165702, 0.182272]...	no solution exists.
	Iteration #007: testing norm threshold 0.178130 in range [0.173987, 0.182272]...	no solution exists.
	Iteration #008: testing norm threshold 0.180201 in range [0.178130, 0.182272]...	no solution exists.
	Iteration #009: testing norm threshold 0.181237 in range [0.180201, 0.182272]...	solution exists & found.
	Iteration #010: testing norm threshold 0.180719 in range [0.180201, 0.181237]...	solution exists & found.
	Iteration #011: testing norm threshold 0.180460 in range [0.180201, 0.180719]...	no solution exists.
	Iteration #012: testing norm threshold 0.180590 in range [0.180460, 0.180719]...	no solution exists.
	Iteration #013: testing norm threshold 0.180654 in range [0.180590, 0.180719]...	no solution exists.
	Iteration #014: testing norm threshold 0.180687 in range [0.180654, 0.180719]...	solution exists & found.
	Iteration #015: testing norm threshold 0.180671 in range [0.180654, 0.180687]...	no solution exists.
	Iteration #016: testing norm threshold 0.180679 in range [0.180671, 0.180687]...	no solution exists.


Factual sample: 		 {x0 : -2.1215880122395543, x1 : -1.2396019290615454, y: False}
Nearest counterfactual sample:	 {x0 : 0.9124131706549948, x1 : -1.2394065395883243, y: True} (verified)
Minimum counterfactual distance: 0.180687
