

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


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 0.139392 in range [0.000000, 0.278784]...	no solution exists.
	Iteration #003: testing norm threshold 0.209088 in range [0.139392, 0.278784]...	solution exists & found.
	Iteration #004: testing norm threshold 0.174240 in range [0.139392, 0.209088]...	no solution exists.
	Iteration #005: testing norm threshold 0.191664 in range [0.174240, 0.209088]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182952 in range [0.174240, 0.191664]...	no solution exists.
	Iteration #007: testing norm threshold 0.187308 in range [0.182952, 0.191664]...	no solution exists.
	Iteration #008: testing norm threshold 0.189486 in range [0.187308, 0.191664]...	no solution exists.
	Iteration #009: testing norm threshold 0.190575 in range [0.189486, 0.191664]...	no solution exists.
	Iteration #010: testing norm threshold 0.191120 in range [0.190575, 0.191664]...	solution exists & found.
	Iteration #011: testing norm threshold 0.190848 in range [0.190575, 0.191120]...	solution exists & found.
	Iteration #012: testing norm threshold 0.190712 in range [0.190575, 0.190848]...	solution exists & found.
	Iteration #013: testing norm threshold 0.190644 in range [0.190575, 0.190712]...	no solution exists.
	Iteration #014: testing norm threshold 0.190678 in range [0.190644, 0.190712]...	no solution exists.
	Iteration #015: testing norm threshold 0.190695 in range [0.190678, 0.190712]...	solution exists & found.
	Iteration #016: testing norm threshold 0.190686 in range [0.190678, 0.190695]...	solution exists & found.


Factual sample: 		 {x0 : -2.5483587715209604, x1 : -0.9111988843402434, y: False}
Nearest counterfactual sample:	 {x0 : 0.6537699260198824, x1 : -0.9111988843402434, y: True} (verified)
Minimum counterfactual distance: 0.190686
