

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


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 0.147801 in range [0.000000, 0.295602]...	no solution exists.
	Iteration #003: testing norm threshold 0.221702 in range [0.147801, 0.295602]...	solution exists & found.
	Iteration #004: testing norm threshold 0.182107 in range [0.147801, 0.216413]...	no solution exists.
	Iteration #005: testing norm threshold 0.199260 in range [0.182107, 0.216413]...	no solution exists.
	Iteration #006: testing norm threshold 0.207837 in range [0.199260, 0.216413]...	solution exists & found.
	Iteration #007: testing norm threshold 0.203548 in range [0.199260, 0.207837]...	solution exists & found.
	Iteration #008: testing norm threshold 0.201404 in range [0.199260, 0.203549]...	no solution exists.
	Iteration #009: testing norm threshold 0.202476 in range [0.201404, 0.203549]...	no solution exists.
	Iteration #010: testing norm threshold 0.203012 in range [0.202476, 0.203549]...	solution exists & found.
	Iteration #011: testing norm threshold 0.202745 in range [0.202476, 0.203013]...	no solution exists.
	Iteration #012: testing norm threshold 0.202879 in range [0.202745, 0.203013]...	no solution exists.
	Iteration #013: testing norm threshold 0.202946 in range [0.202879, 0.203013]...	no solution exists.
	Iteration #014: testing norm threshold 0.202979 in range [0.202946, 0.203013]...	no solution exists.
	Iteration #015: testing norm threshold 0.202996 in range [0.202979, 0.203013]...	solution exists & found.
	Iteration #016: testing norm threshold 0.202988 in range [0.202979, 0.202996]...	no solution exists.


Factual sample: 		 {x0 : -1.380081806767944, x1 : -2.655903457316267, y: False}
Nearest counterfactual sample:	 {x0 : 2.0287592737204507, x1 : -2.655903457316267, y: True} (verified)
Minimum counterfactual distance: 0.202996
