

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


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 0.110579 in range [0.000000, 0.221158]...	no solution exists.
	Iteration #003: testing norm threshold 0.165868 in range [0.110579, 0.221158]...	no solution exists.
	Iteration #004: testing norm threshold 0.193513 in range [0.165868, 0.221158]...	no solution exists.
	Iteration #005: testing norm threshold 0.207336 in range [0.193513, 0.221158]...	no solution exists.
	Iteration #006: testing norm threshold 0.214247 in range [0.207336, 0.221158]...	solution exists & found.
	Iteration #007: testing norm threshold 0.210791 in range [0.207336, 0.214247]...	solution exists & found.
	Iteration #008: testing norm threshold 0.209063 in range [0.207336, 0.210791]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208200 in range [0.207336, 0.209063]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207768 in range [0.207336, 0.208200]...	solution exists & found.
	Iteration #011: testing norm threshold 0.207552 in range [0.207336, 0.207768]...	no solution exists.
	Iteration #012: testing norm threshold 0.207660 in range [0.207552, 0.207768]...	no solution exists.
	Iteration #013: testing norm threshold 0.207714 in range [0.207660, 0.207768]...	no solution exists.
	Iteration #014: testing norm threshold 0.207741 in range [0.207714, 0.207768]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207727 in range [0.207714, 0.207741]...	no solution exists.
	Iteration #016: testing norm threshold 0.207734 in range [0.207727, 0.207741]...	no solution exists.


Factual sample: 		 {x0 : -1.929511306699056, x1 : -2.059861449880991, y: False}
Nearest counterfactual sample:	 {x0 : 1.5590078866654316, x1 : -2.059861449880991, y: True} (verified)
Minimum counterfactual distance: 0.207741
