

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.173729 in range [0.000000, 0.347457]...	no solution exists.
	Iteration #003: testing norm threshold 0.260593 in range [0.173729, 0.347457]...	no solution exists.
	Iteration #004: testing norm threshold 0.304025 in range [0.260593, 0.347457]...	no solution exists.
	Iteration #005: testing norm threshold 0.325741 in range [0.304025, 0.347457]...	solution exists & found.
	Iteration #006: testing norm threshold 0.314883 in range [0.304025, 0.325741]...	solution exists & found.
	Iteration #007: testing norm threshold 0.309454 in range [0.304025, 0.314883]...	solution exists & found.
	Iteration #008: testing norm threshold 0.306740 in range [0.304025, 0.309454]...	no solution exists.
	Iteration #009: testing norm threshold 0.308097 in range [0.306740, 0.309454]...	solution exists & found.
	Iteration #010: testing norm threshold 0.307419 in range [0.306740, 0.308097]...	solution exists & found.
	Iteration #011: testing norm threshold 0.307079 in range [0.306740, 0.307419]...	no solution exists.
	Iteration #012: testing norm threshold 0.307249 in range [0.307079, 0.307419]...	solution exists & found.
	Iteration #013: testing norm threshold 0.307164 in range [0.307079, 0.307249]...	solution exists & found.
	Iteration #014: testing norm threshold 0.307122 in range [0.307079, 0.307164]...	solution exists & found.
	Iteration #015: testing norm threshold 0.307101 in range [0.307079, 0.307122]...	solution exists & found.
	Iteration #016: testing norm threshold 0.307090 in range [0.307079, 0.307101]...	no solution exists.
	Iteration #017: testing norm threshold 0.307095 in range [0.307090, 0.307101]...	solution exists & found.


Factual sample: 		 {x0 : -4.840359652236751, x1 : -2.919724803433751, y: False}
Nearest counterfactual sample:	 {x0 : 2.4803056818461857, x1 : -2.919732893281788, y: True} (verified)
Minimum counterfactual distance: 0.307095
