

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


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 0.194669 in range [0.000000, 0.389338]...	no solution exists.
	Iteration #003: testing norm threshold 0.292004 in range [0.194669, 0.389338]...	solution exists & found.
	Iteration #004: testing norm threshold 0.243336 in range [0.194669, 0.292004]...	no solution exists.
	Iteration #005: testing norm threshold 0.267670 in range [0.243336, 0.292004]...	no solution exists.
	Iteration #006: testing norm threshold 0.279837 in range [0.267670, 0.292004]...	solution exists & found.
	Iteration #007: testing norm threshold 0.273754 in range [0.267670, 0.279837]...	solution exists & found.
	Iteration #008: testing norm threshold 0.270712 in range [0.267670, 0.273754]...	no solution exists.
	Iteration #009: testing norm threshold 0.272233 in range [0.270712, 0.273754]...	solution exists & found.
	Iteration #010: testing norm threshold 0.271472 in range [0.270712, 0.272233]...	no solution exists.
	Iteration #011: testing norm threshold 0.271853 in range [0.271472, 0.272233]...	solution exists & found.
	Iteration #012: testing norm threshold 0.271663 in range [0.271472, 0.271853]...	solution exists & found.
	Iteration #013: testing norm threshold 0.271567 in range [0.271472, 0.271663]...	no solution exists.
	Iteration #014: testing norm threshold 0.271615 in range [0.271567, 0.271663]...	no solution exists.
	Iteration #015: testing norm threshold 0.271639 in range [0.271615, 0.271663]...	solution exists & found.
	Iteration #016: testing norm threshold 0.271627 in range [0.271615, 0.271639]...	solution exists & found.
	Iteration #017: testing norm threshold 0.271621 in range [0.271615, 0.271627]...	solution exists & found.


Factual sample: 		 {x0 : -1.7500692237553674, x1 : -3.648657239157972, y: False}
Nearest counterfactual sample:	 {x0 : 2.811172383269407, x1 : -3.648657239157972, y: True} (verified)
Minimum counterfactual distance: 0.271621
