

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


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 0.217663 in range [0.000000, 0.435325]...	no solution exists.
	Iteration #003: testing norm threshold 0.326494 in range [0.217663, 0.435325]...	no solution exists.
	Iteration #004: testing norm threshold 0.380910 in range [0.326494, 0.435325]...	solution exists & found.
	Iteration #005: testing norm threshold 0.353702 in range [0.326494, 0.380910]...	solution exists & found.
	Iteration #006: testing norm threshold 0.339553 in range [0.326494, 0.352611]...	no solution exists.
	Iteration #007: testing norm threshold 0.346082 in range [0.339553, 0.352611]...	solution exists & found.
	Iteration #008: testing norm threshold 0.342817 in range [0.339553, 0.346082]...	solution exists & found.
	Iteration #009: testing norm threshold 0.341185 in range [0.339553, 0.342817]...	solution exists & found.
	Iteration #010: testing norm threshold 0.340369 in range [0.339553, 0.341185]...	solution exists & found.
	Iteration #011: testing norm threshold 0.339961 in range [0.339553, 0.340369]...	solution exists & found.
	Iteration #012: testing norm threshold 0.339757 in range [0.339553, 0.339961]...	solution exists & found.
	Iteration #013: testing norm threshold 0.339655 in range [0.339553, 0.339757]...	no solution exists.
	Iteration #014: testing norm threshold 0.339706 in range [0.339655, 0.339757]...	solution exists & found.
	Iteration #015: testing norm threshold 0.339680 in range [0.339655, 0.339706]...	no solution exists.
	Iteration #016: testing norm threshold 0.339693 in range [0.339680, 0.339706]...	solution exists & found.
	Iteration #017: testing norm threshold 0.339687 in range [0.339680, 0.339693]...	solution exists & found.


Factual sample: 		 {x0 : -4.0717645853596975, x1 : -4.787734966251268, y: False}
Nearest counterfactual sample:	 {x0 : 4.025836155471594, x1 : -4.787734966251268, y: True} (verified)
Minimum counterfactual distance: 0.339687
