

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


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 0.122919 in range [0.000000, 0.245838]...	no solution exists.
	Iteration #003: testing norm threshold 0.184379 in range [0.122919, 0.245838]...	no solution exists.
	Iteration #004: testing norm threshold 0.215109 in range [0.184379, 0.245838]...	solution exists & found.
	Iteration #005: testing norm threshold 0.194148 in range [0.184379, 0.203917]...	solution exists & found.
	Iteration #006: testing norm threshold 0.189264 in range [0.184379, 0.194148]...	no solution exists.
	Iteration #007: testing norm threshold 0.191706 in range [0.189264, 0.194148]...	solution exists & found.
	Iteration #008: testing norm threshold 0.190485 in range [0.189264, 0.191706]...	no solution exists.
	Iteration #009: testing norm threshold 0.191095 in range [0.190485, 0.191706]...	solution exists & found.
	Iteration #010: testing norm threshold 0.190790 in range [0.190485, 0.191095]...	solution exists & found.
	Iteration #011: testing norm threshold 0.190637 in range [0.190485, 0.190790]...	solution exists & found.
	Iteration #012: testing norm threshold 0.190561 in range [0.190485, 0.190638]...	solution exists & found.
	Iteration #013: testing norm threshold 0.190523 in range [0.190485, 0.190561]...	no solution exists.
	Iteration #014: testing norm threshold 0.190542 in range [0.190523, 0.190561]...	no solution exists.
	Iteration #015: testing norm threshold 0.190552 in range [0.190542, 0.190561]...	solution exists & found.


Factual sample: 		 {x0 : -2.865773391354203, x1 : -1.8697924513950528, y: False}
Nearest counterfactual sample:	 {x0 : 2.0103342532121675, x1 : -1.8697924513950528, y: True} (verified)
Minimum counterfactual distance: 0.190552
