

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


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 0.185338 in range [0.000000, 0.370677]...	no solution exists.
	Iteration #003: testing norm threshold 0.278007 in range [0.185338, 0.370677]...	solution exists & found.
	Iteration #004: testing norm threshold 0.228357 in range [0.185338, 0.271376]...	no solution exists.
	Iteration #005: testing norm threshold 0.249866 in range [0.228357, 0.271376]...	no solution exists.
	Iteration #006: testing norm threshold 0.260621 in range [0.249866, 0.271376]...	solution exists & found.
	Iteration #007: testing norm threshold 0.255244 in range [0.249866, 0.260621]...	no solution exists.
	Iteration #008: testing norm threshold 0.257933 in range [0.255244, 0.260621]...	no solution exists.
	Iteration #009: testing norm threshold 0.259277 in range [0.257933, 0.260621]...	solution exists & found.
	Iteration #010: testing norm threshold 0.258605 in range [0.257933, 0.259277]...	solution exists & found.
	Iteration #011: testing norm threshold 0.258269 in range [0.257933, 0.258605]...	solution exists & found.
	Iteration #012: testing norm threshold 0.258101 in range [0.257933, 0.258269]...	solution exists & found.
	Iteration #013: testing norm threshold 0.258017 in range [0.257933, 0.258101]...	solution exists & found.
	Iteration #014: testing norm threshold 0.257975 in range [0.257933, 0.258017]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257954 in range [0.257933, 0.257975]...	no solution exists.
	Iteration #016: testing norm threshold 0.257964 in range [0.257954, 0.257975]...	solution exists & found.
	Iteration #017: testing norm threshold 0.257959 in range [0.257954, 0.257964]...	solution exists & found.


Factual sample: 		 {x0 : -2.9324320464781826, x1 : -1.8573184021487783, y: False}
Nearest counterfactual sample:	 {x0 : 1.399385866433108, x1 : -1.8573184021487783, y: True} (verified)
Minimum counterfactual distance: 0.257959
