

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


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 0.132271 in range [0.000000, 0.264541]...	no solution exists.
	Iteration #003: testing norm threshold 0.198406 in range [0.132271, 0.264541]...	solution exists & found.
	Iteration #004: testing norm threshold 0.165338 in range [0.132271, 0.198406]...	no solution exists.
	Iteration #005: testing norm threshold 0.181872 in range [0.165338, 0.198406]...	no solution exists.
	Iteration #006: testing norm threshold 0.190139 in range [0.181872, 0.198406]...	no solution exists.
	Iteration #007: testing norm threshold 0.194273 in range [0.190139, 0.198406]...	no solution exists.
	Iteration #008: testing norm threshold 0.196339 in range [0.194273, 0.198406]...	solution exists & found.
	Iteration #009: testing norm threshold 0.195306 in range [0.194273, 0.196339]...	no solution exists.
	Iteration #010: testing norm threshold 0.195823 in range [0.195306, 0.196339]...	solution exists & found.
	Iteration #011: testing norm threshold 0.195564 in range [0.195306, 0.195823]...	no solution exists.
	Iteration #012: testing norm threshold 0.195694 in range [0.195564, 0.195823]...	solution exists & found.
	Iteration #013: testing norm threshold 0.195629 in range [0.195564, 0.195694]...	solution exists & found.
	Iteration #014: testing norm threshold 0.195597 in range [0.195564, 0.195629]...	no solution exists.
	Iteration #015: testing norm threshold 0.195613 in range [0.195597, 0.195629]...	solution exists & found.
	Iteration #016: testing norm threshold 0.195605 in range [0.195597, 0.195613]...	solution exists & found.


Factual sample: 		 {x0 : -2.407056885192194, x1 : -1.1953509021465367, y: False}
Nearest counterfactual sample:	 {x0 : 0.8776538179548811, x1 : -1.1953655437827977, y: True} (verified)
Minimum counterfactual distance: 0.195605
