

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.170987 in range [0.000000, 0.341974]...	no solution exists.
	Iteration #003: testing norm threshold 0.256480 in range [0.170987, 0.341974]...	no solution exists.
	Iteration #004: testing norm threshold 0.299227 in range [0.256480, 0.341974]...	solution exists & found.
	Iteration #005: testing norm threshold 0.277854 in range [0.256480, 0.299227]...	no solution exists.
	Iteration #006: testing norm threshold 0.288540 in range [0.277854, 0.299227]...	no solution exists.
	Iteration #007: testing norm threshold 0.293884 in range [0.288540, 0.299227]...	no solution exists.
	Iteration #008: testing norm threshold 0.296555 in range [0.293884, 0.299227]...	solution exists & found.
	Iteration #009: testing norm threshold 0.295220 in range [0.293884, 0.296556]...	no solution exists.
	Iteration #010: testing norm threshold 0.295888 in range [0.295220, 0.296556]...	solution exists & found.
	Iteration #011: testing norm threshold 0.295554 in range [0.295220, 0.295888]...	no solution exists.
	Iteration #012: testing norm threshold 0.295721 in range [0.295554, 0.295888]...	solution exists & found.
	Iteration #013: testing norm threshold 0.295637 in range [0.295554, 0.295721]...	solution exists & found.
	Iteration #014: testing norm threshold 0.295596 in range [0.295554, 0.295637]...	solution exists & found.
	Iteration #015: testing norm threshold 0.295575 in range [0.295554, 0.295596]...	solution exists & found.
	Iteration #016: testing norm threshold 0.295564 in range [0.295554, 0.295575]...	no solution exists.
	Iteration #017: testing norm threshold 0.295569 in range [0.295564, 0.295575]...	no solution exists.


Factual sample: 		 {x0 : -3.282713533789132, x1 : -4.099644376670285, y: False}
Nearest counterfactual sample:	 {x0 : 4.280855741352771, x1 : -4.099658059000992, y: True} (verified)
Minimum counterfactual distance: 0.295575
