

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


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 0.121199 in range [0.000000, 0.242398]...	no solution exists.
	Iteration #003: testing norm threshold 0.181798 in range [0.121199, 0.242398]...	no solution exists.
	Iteration #004: testing norm threshold 0.212098 in range [0.181798, 0.242398]...	no solution exists.
	Iteration #005: testing norm threshold 0.227248 in range [0.212098, 0.242398]...	no solution exists.
	Iteration #006: testing norm threshold 0.234823 in range [0.227248, 0.242398]...	solution exists & found.
	Iteration #007: testing norm threshold 0.231036 in range [0.227248, 0.234823]...	solution exists & found.
	Iteration #008: testing norm threshold 0.229142 in range [0.227248, 0.231036]...	solution exists & found.
	Iteration #009: testing norm threshold 0.228195 in range [0.227248, 0.229142]...	no solution exists.
	Iteration #010: testing norm threshold 0.228669 in range [0.228195, 0.229142]...	no solution exists.
	Iteration #011: testing norm threshold 0.228905 in range [0.228669, 0.229142]...	no solution exists.
	Iteration #012: testing norm threshold 0.229024 in range [0.228905, 0.229142]...	solution exists & found.
	Iteration #013: testing norm threshold 0.228964 in range [0.228905, 0.229024]...	no solution exists.
	Iteration #014: testing norm threshold 0.228994 in range [0.228964, 0.229024]...	solution exists & found.
	Iteration #015: testing norm threshold 0.228979 in range [0.228964, 0.228994]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228972 in range [0.228964, 0.228979]...	no solution exists.


Factual sample: 		 {x0 : -2.41308209870014, x1 : -1.8988535898943224, y: False}
Nearest counterfactual sample:	 {x0 : 1.4320912472958849, x1 : -1.8988535898943224, y: True} (verified)
Minimum counterfactual distance: 0.228979
