

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


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 0.109837 in range [0.000000, 0.219674]...	no solution exists.
	Iteration #003: testing norm threshold 0.164756 in range [0.109837, 0.219674]...	no solution exists.
	Iteration #004: testing norm threshold 0.192215 in range [0.164756, 0.219674]...	no solution exists.
	Iteration #005: testing norm threshold 0.205945 in range [0.192215, 0.219674]...	no solution exists.
	Iteration #006: testing norm threshold 0.212810 in range [0.205945, 0.219674]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209377 in range [0.205945, 0.212810]...	solution exists & found.
	Iteration #008: testing norm threshold 0.207661 in range [0.205945, 0.209377]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206803 in range [0.205945, 0.207661]...	solution exists & found.
	Iteration #010: testing norm threshold 0.206374 in range [0.205945, 0.206803]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206159 in range [0.205945, 0.206374]...	no solution exists.
	Iteration #012: testing norm threshold 0.206267 in range [0.206159, 0.206374]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206213 in range [0.206159, 0.206267]...	no solution exists.
	Iteration #014: testing norm threshold 0.206240 in range [0.206213, 0.206267]...	no solution exists.
	Iteration #015: testing norm threshold 0.206253 in range [0.206240, 0.206267]...	no solution exists.
	Iteration #016: testing norm threshold 0.206260 in range [0.206253, 0.206267]...	solution exists & found.


Factual sample: 		 {x0 : -2.154988589876146, x1 : -1.742156944699537, y: False}
Nearest counterfactual sample:	 {x0 : 1.3086288725385844, x1 : -1.7421926538563992, y: True} (verified)
Minimum counterfactual distance: 0.206260
