

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


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 0.156770 in range [0.000000, 0.313540]...	no solution exists.
	Iteration #003: testing norm threshold 0.235155 in range [0.156770, 0.313540]...	solution exists & found.
	Iteration #004: testing norm threshold 0.193158 in range [0.156770, 0.229545]...	no solution exists.
	Iteration #005: testing norm threshold 0.211352 in range [0.193158, 0.229545]...	no solution exists.
	Iteration #006: testing norm threshold 0.220448 in range [0.211352, 0.229545]...	solution exists & found.
	Iteration #007: testing norm threshold 0.215900 in range [0.211352, 0.220449]...	no solution exists.
	Iteration #008: testing norm threshold 0.218174 in range [0.215900, 0.220449]...	solution exists & found.
	Iteration #009: testing norm threshold 0.217037 in range [0.215900, 0.218174]...	solution exists & found.
	Iteration #010: testing norm threshold 0.216469 in range [0.215900, 0.217037]...	solution exists & found.
	Iteration #011: testing norm threshold 0.216184 in range [0.215900, 0.216469]...	solution exists & found.
	Iteration #012: testing norm threshold 0.216042 in range [0.215900, 0.216185]...	no solution exists.
	Iteration #013: testing norm threshold 0.216113 in range [0.216042, 0.216185]...	no solution exists.
	Iteration #014: testing norm threshold 0.216149 in range [0.216113, 0.216185]...	solution exists & found.
	Iteration #015: testing norm threshold 0.216131 in range [0.216113, 0.216149]...	solution exists & found.
	Iteration #016: testing norm threshold 0.216122 in range [0.216113, 0.216131]...	no solution exists.


Factual sample: 		 {x0 : -2.3555940344037074, x1 : -1.697944834164011, y: False}
Nearest counterfactual sample:	 {x0 : 1.273825264875873, x1 : -1.697944834164011, y: True} (verified)
Minimum counterfactual distance: 0.216131
