

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


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 0.062993 in range [0.000000, 0.125986]...	no solution exists.
	Iteration #003: testing norm threshold 0.094489 in range [0.062993, 0.125986]...	no solution exists.
	Iteration #004: testing norm threshold 0.110238 in range [0.094489, 0.125986]...	no solution exists.
	Iteration #005: testing norm threshold 0.118112 in range [0.110238, 0.125986]...	solution exists & found.
	Iteration #006: testing norm threshold 0.114175 in range [0.110238, 0.118112]...	solution exists & found.
	Iteration #007: testing norm threshold 0.112206 in range [0.110238, 0.114175]...	no solution exists.
	Iteration #008: testing norm threshold 0.113191 in range [0.112206, 0.114175]...	solution exists & found.
	Iteration #009: testing norm threshold 0.112699 in range [0.112206, 0.113191]...	solution exists & found.
	Iteration #010: testing norm threshold 0.112452 in range [0.112206, 0.112699]...	no solution exists.
	Iteration #011: testing norm threshold 0.112576 in range [0.112452, 0.112699]...	solution exists & found.
	Iteration #012: testing norm threshold 0.112514 in range [0.112452, 0.112576]...	no solution exists.
	Iteration #013: testing norm threshold 0.112545 in range [0.112514, 0.112576]...	no solution exists.
	Iteration #014: testing norm threshold 0.112560 in range [0.112545, 0.112576]...	no solution exists.
	Iteration #015: testing norm threshold 0.112568 in range [0.112560, 0.112576]...	solution exists & found.


Factual sample: 		 {x0 : -0.2563348895531665, x1 : -2.1550072536782494, y: False}
Nearest counterfactual sample:	 {x0 : 1.6339811466306127, x1 : -2.1550072536782494, y: True} (verified)
Minimum counterfactual distance: 0.112568
