

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


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 0.189819 in range [0.000000, 0.379639]...	no solution exists.
	Iteration #003: testing norm threshold 0.284729 in range [0.189819, 0.379639]...	solution exists & found.
	Iteration #004: testing norm threshold 0.237274 in range [0.189819, 0.284729]...	no solution exists.
	Iteration #005: testing norm threshold 0.261002 in range [0.237274, 0.284729]...	no solution exists.
	Iteration #006: testing norm threshold 0.272866 in range [0.261002, 0.284729]...	no solution exists.
	Iteration #007: testing norm threshold 0.278797 in range [0.272866, 0.284729]...	solution exists & found.
	Iteration #008: testing norm threshold 0.275832 in range [0.272866, 0.278798]...	no solution exists.
	Iteration #009: testing norm threshold 0.277315 in range [0.275832, 0.278798]...	no solution exists.
	Iteration #010: testing norm threshold 0.278056 in range [0.277315, 0.278798]...	solution exists & found.
	Iteration #011: testing norm threshold 0.277685 in range [0.277315, 0.278056]...	no solution exists.
	Iteration #012: testing norm threshold 0.277871 in range [0.277685, 0.278056]...	solution exists & found.
	Iteration #013: testing norm threshold 0.277778 in range [0.277685, 0.277871]...	no solution exists.
	Iteration #014: testing norm threshold 0.277824 in range [0.277778, 0.277871]...	solution exists & found.
	Iteration #015: testing norm threshold 0.277801 in range [0.277778, 0.277825]...	solution exists & found.
	Iteration #016: testing norm threshold 0.277790 in range [0.277778, 0.277801]...	no solution exists.
	Iteration #017: testing norm threshold 0.277796 in range [0.277790, 0.277801]...	solution exists & found.


Factual sample: 		 {x0 : -3.181707794944749, x1 : -1.963626016477396, y: False}
Nearest counterfactual sample:	 {x0 : 1.4831775634676752, x1 : -1.9636652888144417, y: True} (verified)
Minimum counterfactual distance: 0.277796
