

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


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 0.109061 in range [0.000000, 0.218122]...	no solution exists.
	Iteration #003: testing norm threshold 0.163591 in range [0.109061, 0.218122]...	solution exists & found.
	Iteration #004: testing norm threshold 0.136326 in range [0.109061, 0.163592]...	no solution exists.
	Iteration #005: testing norm threshold 0.149959 in range [0.136326, 0.163592]...	solution exists & found.
	Iteration #006: testing norm threshold 0.143143 in range [0.136326, 0.149959]...	no solution exists.
	Iteration #007: testing norm threshold 0.146551 in range [0.143143, 0.149959]...	no solution exists.
	Iteration #008: testing norm threshold 0.148255 in range [0.146551, 0.149959]...	no solution exists.
	Iteration #009: testing norm threshold 0.149107 in range [0.148255, 0.149959]...	no solution exists.
	Iteration #010: testing norm threshold 0.149533 in range [0.149107, 0.149959]...	solution exists & found.
	Iteration #011: testing norm threshold 0.149320 in range [0.149107, 0.149533]...	solution exists & found.
	Iteration #012: testing norm threshold 0.149214 in range [0.149107, 0.149320]...	solution exists & found.
	Iteration #013: testing norm threshold 0.149160 in range [0.149107, 0.149214]...	no solution exists.
	Iteration #014: testing norm threshold 0.149187 in range [0.149160, 0.149214]...	solution exists & found.
	Iteration #015: testing norm threshold 0.149174 in range [0.149160, 0.149187]...	no solution exists.
	Iteration #016: testing norm threshold 0.149180 in range [0.149174, 0.149187]...	no solution exists.


Factual sample: 		 {x0 : -1.4728197522003004, x1 : -1.391683747247793, y: False}
Nearest counterfactual sample:	 {x0 : 1.0323203941721784, x1 : -1.3915853123331319, y: True} (verified)
Minimum counterfactual distance: 0.149187
