

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


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 0.229883 in range [0.000000, 0.459767]...	no solution exists.
	Iteration #003: testing norm threshold 0.344825 in range [0.229883, 0.459767]...	solution exists & found.
	Iteration #004: testing norm threshold 0.287354 in range [0.229883, 0.344825]...	no solution exists.
	Iteration #005: testing norm threshold 0.316090 in range [0.287354, 0.344825]...	no solution exists.
	Iteration #006: testing norm threshold 0.330457 in range [0.316090, 0.344825]...	solution exists & found.
	Iteration #007: testing norm threshold 0.323274 in range [0.316090, 0.330457]...	no solution exists.
	Iteration #008: testing norm threshold 0.326865 in range [0.323274, 0.330457]...	no solution exists.
	Iteration #009: testing norm threshold 0.328661 in range [0.326865, 0.330457]...	no solution exists.
	Iteration #010: testing norm threshold 0.329559 in range [0.328661, 0.330457]...	no solution exists.
	Iteration #011: testing norm threshold 0.330008 in range [0.329559, 0.330457]...	no solution exists.
	Iteration #012: testing norm threshold 0.330233 in range [0.330008, 0.330457]...	no solution exists.
	Iteration #013: testing norm threshold 0.330345 in range [0.330233, 0.330457]...	solution exists & found.
	Iteration #014: testing norm threshold 0.330289 in range [0.330233, 0.330345]...	solution exists & found.
	Iteration #015: testing norm threshold 0.330261 in range [0.330233, 0.330289]...	no solution exists.
	Iteration #016: testing norm threshold 0.330275 in range [0.330261, 0.330289]...	solution exists & found.
	Iteration #017: testing norm threshold 0.330268 in range [0.330261, 0.330275]...	no solution exists.


Factual sample: 		 {x0 : -3.4033808267285064, x1 : -2.800602241644801, y: False}
Nearest counterfactual sample:	 {x0 : 2.1427217627284127, x1 : -2.800511944635441, y: True} (verified)
Minimum counterfactual distance: 0.330275
