

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


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 0.170582 in range [0.000000, 0.341165]...	no solution exists.
	Iteration #003: testing norm threshold 0.255873 in range [0.170582, 0.341165]...	solution exists & found.
	Iteration #004: testing norm threshold 0.210176 in range [0.170582, 0.249770]...	no solution exists.
	Iteration #005: testing norm threshold 0.229973 in range [0.210176, 0.249770]...	no solution exists.
	Iteration #006: testing norm threshold 0.239871 in range [0.229973, 0.249770]...	solution exists & found.
	Iteration #007: testing norm threshold 0.234922 in range [0.229973, 0.239872]...	no solution exists.
	Iteration #008: testing norm threshold 0.237397 in range [0.234922, 0.239872]...	solution exists & found.
	Iteration #009: testing norm threshold 0.236160 in range [0.234922, 0.237397]...	no solution exists.
	Iteration #010: testing norm threshold 0.236778 in range [0.236160, 0.237397]...	solution exists & found.
	Iteration #011: testing norm threshold 0.236469 in range [0.236160, 0.236778]...	solution exists & found.
	Iteration #012: testing norm threshold 0.236314 in range [0.236160, 0.236469]...	no solution exists.
	Iteration #013: testing norm threshold 0.236392 in range [0.236314, 0.236469]...	solution exists & found.
	Iteration #014: testing norm threshold 0.236353 in range [0.236314, 0.236392]...	solution exists & found.
	Iteration #015: testing norm threshold 0.236334 in range [0.236314, 0.236353]...	no solution exists.
	Iteration #016: testing norm threshold 0.236344 in range [0.236334, 0.236353]...	no solution exists.


Factual sample: 		 {x0 : -2.725637576347585, x1 : -1.6593456168338077, y: False}
Nearest counterfactual sample:	 {x0 : 1.2432831919521745, x1 : -1.6592732720145806, y: True} (verified)
Minimum counterfactual distance: 0.236353
