

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


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 0.159117 in range [0.000000, 0.318235]...	no solution exists.
	Iteration #003: testing norm threshold 0.238676 in range [0.159117, 0.318235]...	no solution exists.
	Iteration #004: testing norm threshold 0.278456 in range [0.238676, 0.318235]...	solution exists & found.
	Iteration #005: testing norm threshold 0.258566 in range [0.238676, 0.278456]...	no solution exists.
	Iteration #006: testing norm threshold 0.268511 in range [0.258566, 0.278456]...	no solution exists.
	Iteration #007: testing norm threshold 0.273483 in range [0.268511, 0.278456]...	no solution exists.
	Iteration #008: testing norm threshold 0.275969 in range [0.273483, 0.278456]...	solution exists & found.
	Iteration #009: testing norm threshold 0.274726 in range [0.273483, 0.275970]...	solution exists & found.
	Iteration #010: testing norm threshold 0.274105 in range [0.273483, 0.274726]...	no solution exists.
	Iteration #011: testing norm threshold 0.274416 in range [0.274105, 0.274726]...	solution exists & found.
	Iteration #012: testing norm threshold 0.274260 in range [0.274105, 0.274416]...	solution exists & found.
	Iteration #013: testing norm threshold 0.274183 in range [0.274105, 0.274260]...	solution exists & found.
	Iteration #014: testing norm threshold 0.274144 in range [0.274105, 0.274183]...	solution exists & found.
	Iteration #015: testing norm threshold 0.274124 in range [0.274105, 0.274144]...	no solution exists.
	Iteration #016: testing norm threshold 0.274134 in range [0.274124, 0.274144]...	solution exists & found.


Factual sample: 		 {x0 : -4.0598107733986994, x1 : -2.7975821978601503, y: False}
Nearest counterfactual sample:	 {x0 : 2.954185603011539, x1 : -2.7967506777135567, y: True} (verified)
Minimum counterfactual distance: 0.274134
