

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


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 0.133213 in range [0.000000, 0.266427]...	no solution exists.
	Iteration #003: testing norm threshold 0.199820 in range [0.133213, 0.266427]...	solution exists & found.
	Iteration #004: testing norm threshold 0.164133 in range [0.133213, 0.195053]...	no solution exists.
	Iteration #005: testing norm threshold 0.179593 in range [0.164133, 0.195053]...	no solution exists.
	Iteration #006: testing norm threshold 0.187323 in range [0.179593, 0.195053]...	solution exists & found.
	Iteration #007: testing norm threshold 0.183458 in range [0.179593, 0.187324]...	solution exists & found.
	Iteration #008: testing norm threshold 0.181526 in range [0.179593, 0.183459]...	no solution exists.
	Iteration #009: testing norm threshold 0.182492 in range [0.181526, 0.183459]...	solution exists & found.
	Iteration #010: testing norm threshold 0.182009 in range [0.181526, 0.182492]...	solution exists & found.
	Iteration #011: testing norm threshold 0.181768 in range [0.181526, 0.182009]...	solution exists & found.
	Iteration #012: testing norm threshold 0.181647 in range [0.181526, 0.181768]...	solution exists & found.
	Iteration #013: testing norm threshold 0.181586 in range [0.181526, 0.181647]...	no solution exists.
	Iteration #014: testing norm threshold 0.181617 in range [0.181586, 0.181647]...	no solution exists.
	Iteration #015: testing norm threshold 0.181632 in range [0.181617, 0.181647]...	no solution exists.
	Iteration #016: testing norm threshold 0.181639 in range [0.181632, 0.181647]...	solution exists & found.


Factual sample: 		 {x0 : -1.7180753700010398, x1 : -1.7719269380235816, y: False}
Nearest counterfactual sample:	 {x0 : 1.3319712338752023, x1 : -1.7717753800836662, y: True} (verified)
Minimum counterfactual distance: 0.181639
