

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


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 0.186551 in range [0.000000, 0.373101]...	no solution exists.
	Iteration #003: testing norm threshold 0.279826 in range [0.186551, 0.373101]...	solution exists & found.
	Iteration #004: testing norm threshold 0.233188 in range [0.186551, 0.279826]...	no solution exists.
	Iteration #005: testing norm threshold 0.256507 in range [0.233188, 0.279826]...	no solution exists.
	Iteration #006: testing norm threshold 0.268167 in range [0.256507, 0.279826]...	solution exists & found.
	Iteration #007: testing norm threshold 0.262337 in range [0.256507, 0.268167]...	solution exists & found.
	Iteration #008: testing norm threshold 0.259422 in range [0.256507, 0.262337]...	no solution exists.
	Iteration #009: testing norm threshold 0.260879 in range [0.259422, 0.262337]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260151 in range [0.259422, 0.260880]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259786 in range [0.259422, 0.260151]...	solution exists & found.
	Iteration #012: testing norm threshold 0.259604 in range [0.259422, 0.259787]...	no solution exists.
	Iteration #013: testing norm threshold 0.259695 in range [0.259604, 0.259787]...	no solution exists.
	Iteration #014: testing norm threshold 0.259741 in range [0.259695, 0.259787]...	solution exists & found.
	Iteration #015: testing norm threshold 0.259718 in range [0.259695, 0.259741]...	no solution exists.
	Iteration #016: testing norm threshold 0.259730 in range [0.259718, 0.259741]...	no solution exists.
	Iteration #017: testing norm threshold 0.259735 in range [0.259730, 0.259741]...	solution exists & found.


Factual sample: 		 {x0 : -2.318964903796244, x1 : -2.673533271818926, y: False}
Nearest counterfactual sample:	 {x0 : 2.0426845099654587, x1 : -2.673533271818926, y: True} (verified)
Minimum counterfactual distance: 0.259735
