

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


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 0.058869 in range [0.000000, 0.117737]...	no solution exists.
	Iteration #003: testing norm threshold 0.088303 in range [0.058869, 0.117737]...	no solution exists.
	Iteration #004: testing norm threshold 0.103020 in range [0.088303, 0.117737]...	no solution exists.
	Iteration #005: testing norm threshold 0.110379 in range [0.103020, 0.117737]...	solution exists & found.
	Iteration #006: testing norm threshold 0.106699 in range [0.103020, 0.110379]...	solution exists & found.
	Iteration #007: testing norm threshold 0.104860 in range [0.103020, 0.106700]...	solution exists & found.
	Iteration #008: testing norm threshold 0.103940 in range [0.103020, 0.104860]...	no solution exists.
	Iteration #009: testing norm threshold 0.104400 in range [0.103940, 0.104860]...	solution exists & found.
	Iteration #010: testing norm threshold 0.104170 in range [0.103940, 0.104400]...	no solution exists.
	Iteration #011: testing norm threshold 0.104285 in range [0.104170, 0.104400]...	no solution exists.
	Iteration #012: testing norm threshold 0.104343 in range [0.104285, 0.104400]...	solution exists & found.
	Iteration #013: testing norm threshold 0.104314 in range [0.104285, 0.104343]...	no solution exists.
	Iteration #014: testing norm threshold 0.104328 in range [0.104314, 0.104343]...	solution exists & found.
	Iteration #015: testing norm threshold 0.104321 in range [0.104314, 0.104328]...	solution exists & found.


Factual sample: 		 {x0 : -0.4558235054869519, x1 : -1.72613086123468, y: False}
Nearest counterfactual sample:	 {x0 : 1.2959090910589017, x1 : -1.7260406881103296, y: True} (verified)
Minimum counterfactual distance: 0.104321
