

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


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 0.185631 in range [0.000000, 0.371262]...	no solution exists.
	Iteration #003: testing norm threshold 0.278447 in range [0.185631, 0.371262]...	solution exists & found.
	Iteration #004: testing norm threshold 0.230691 in range [0.185631, 0.275750]...	solution exists & found.
	Iteration #005: testing norm threshold 0.202931 in range [0.185631, 0.220231]...	no solution exists.
	Iteration #006: testing norm threshold 0.211581 in range [0.202931, 0.220231]...	solution exists & found.
	Iteration #007: testing norm threshold 0.207256 in range [0.202931, 0.211581]...	solution exists & found.
	Iteration #008: testing norm threshold 0.205094 in range [0.202931, 0.207256]...	no solution exists.
	Iteration #009: testing norm threshold 0.206175 in range [0.205094, 0.207256]...	no solution exists.
	Iteration #010: testing norm threshold 0.206716 in range [0.206175, 0.207256]...	no solution exists.
	Iteration #011: testing norm threshold 0.206986 in range [0.206716, 0.207256]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206851 in range [0.206716, 0.206986]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206783 in range [0.206716, 0.206851]...	no solution exists.
	Iteration #014: testing norm threshold 0.206817 in range [0.206783, 0.206851]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206800 in range [0.206783, 0.206817]...	no solution exists.
	Iteration #016: testing norm threshold 0.206809 in range [0.206800, 0.206817]...	no solution exists.


Factual sample: 		 {x0 : -1.3632265334750917, x1 : -2.7586461458716505, y: False}
Nearest counterfactual sample:	 {x0 : 2.1096250544880766, x1 : -2.7584953039052804, y: True} (verified)
Minimum counterfactual distance: 0.206817
