

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


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 0.186154 in range [0.000000, 0.372309]...	no solution exists.
	Iteration #003: testing norm threshold 0.279231 in range [0.186154, 0.372309]...	solution exists & found.
	Iteration #004: testing norm threshold 0.232693 in range [0.186154, 0.279232]...	no solution exists.
	Iteration #005: testing norm threshold 0.255962 in range [0.232693, 0.279232]...	no solution exists.
	Iteration #006: testing norm threshold 0.267597 in range [0.255962, 0.279232]...	solution exists & found.
	Iteration #007: testing norm threshold 0.261780 in range [0.255962, 0.267597]...	solution exists & found.
	Iteration #008: testing norm threshold 0.258871 in range [0.255962, 0.261780]...	no solution exists.
	Iteration #009: testing norm threshold 0.260325 in range [0.258871, 0.261780]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259598 in range [0.258871, 0.260325]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259235 in range [0.258871, 0.259598]...	solution exists & found.
	Iteration #012: testing norm threshold 0.259053 in range [0.258871, 0.259235]...	no solution exists.
	Iteration #013: testing norm threshold 0.259144 in range [0.259053, 0.259235]...	no solution exists.
	Iteration #014: testing norm threshold 0.259189 in range [0.259144, 0.259235]...	solution exists & found.
	Iteration #015: testing norm threshold 0.259167 in range [0.259144, 0.259189]...	solution exists & found.
	Iteration #016: testing norm threshold 0.259155 in range [0.259144, 0.259167]...	solution exists & found.
	Iteration #017: testing norm threshold 0.259150 in range [0.259144, 0.259155]...	no solution exists.


Factual sample: 		 {x0 : -2.089062275564421, x1 : -2.952879767538577, y: False}
Nearest counterfactual sample:	 {x0 : 2.2627241092641923, x1 : -2.9527681258569474, y: True} (verified)
Minimum counterfactual distance: 0.259155
