

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


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 0.063635 in range [0.000000, 0.127271]...	no solution exists.
	Iteration #003: testing norm threshold 0.095453 in range [0.063635, 0.127271]...	solution exists & found.
	Iteration #004: testing norm threshold 0.078406 in range [0.063635, 0.093176]...	no solution exists.
	Iteration #005: testing norm threshold 0.085791 in range [0.078406, 0.093176]...	solution exists & found.
	Iteration #006: testing norm threshold 0.082098 in range [0.078406, 0.085791]...	solution exists & found.
	Iteration #007: testing norm threshold 0.080252 in range [0.078406, 0.082098]...	solution exists & found.
	Iteration #008: testing norm threshold 0.079329 in range [0.078406, 0.080252]...	no solution exists.
	Iteration #009: testing norm threshold 0.079791 in range [0.079329, 0.080252]...	solution exists & found.
	Iteration #010: testing norm threshold 0.079560 in range [0.079329, 0.079791]...	no solution exists.
	Iteration #011: testing norm threshold 0.079675 in range [0.079560, 0.079791]...	no solution exists.
	Iteration #012: testing norm threshold 0.079733 in range [0.079675, 0.079791]...	no solution exists.
	Iteration #013: testing norm threshold 0.079762 in range [0.079733, 0.079791]...	solution exists & found.
	Iteration #014: testing norm threshold 0.079747 in range [0.079733, 0.079762]...	no solution exists.
	Iteration #015: testing norm threshold 0.079755 in range [0.079747, 0.079762]...	no solution exists.


Factual sample: 		 {x0 : -0.4581264561581877, x1 : -1.1998778455572037, y: False}
Nearest counterfactual sample:	 {x0 : 0.8812481282239891, x1 : -1.1999139063152078, y: True} (verified)
Minimum counterfactual distance: 0.079762
