

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


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 0.192224 in range [0.000000, 0.384447]...	no solution exists.
	Iteration #003: testing norm threshold 0.288335 in range [0.192224, 0.384447]...	no solution exists.
	Iteration #004: testing norm threshold 0.336391 in range [0.288335, 0.384447]...	solution exists & found.
	Iteration #005: testing norm threshold 0.299230 in range [0.288335, 0.310125]...	solution exists & found.
	Iteration #006: testing norm threshold 0.293783 in range [0.288335, 0.299230]...	no solution exists.
	Iteration #007: testing norm threshold 0.296507 in range [0.293783, 0.299230]...	no solution exists.
	Iteration #008: testing norm threshold 0.297868 in range [0.296507, 0.299230]...	solution exists & found.
	Iteration #009: testing norm threshold 0.297188 in range [0.296507, 0.297869]...	solution exists & found.
	Iteration #010: testing norm threshold 0.296847 in range [0.296507, 0.297188]...	solution exists & found.
	Iteration #011: testing norm threshold 0.296677 in range [0.296507, 0.296847]...	no solution exists.
	Iteration #012: testing norm threshold 0.296762 in range [0.296677, 0.296847]...	solution exists & found.
	Iteration #013: testing norm threshold 0.296720 in range [0.296677, 0.296762]...	no solution exists.
	Iteration #014: testing norm threshold 0.296741 in range [0.296720, 0.296762]...	no solution exists.
	Iteration #015: testing norm threshold 0.296752 in range [0.296741, 0.296762]...	no solution exists.
	Iteration #016: testing norm threshold 0.296757 in range [0.296752, 0.296762]...	solution exists & found.


Factual sample: 		 {x0 : -4.123813191932991, x1 : -3.3033088221775024, y: False}
Nearest counterfactual sample:	 {x0 : 3.4695065734082564, x1 : -3.3028503603910013, y: True} (verified)
Minimum counterfactual distance: 0.296757
