

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


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 0.173031 in range [0.000000, 0.346061]...	no solution exists.
	Iteration #003: testing norm threshold 0.259546 in range [0.173031, 0.346061]...	no solution exists.
	Iteration #004: testing norm threshold 0.302804 in range [0.259546, 0.346061]...	solution exists & found.
	Iteration #005: testing norm threshold 0.281175 in range [0.259546, 0.302804]...	solution exists & found.
	Iteration #006: testing norm threshold 0.270361 in range [0.259546, 0.281175]...	solution exists & found.
	Iteration #007: testing norm threshold 0.264953 in range [0.259546, 0.270361]...	solution exists & found.
	Iteration #008: testing norm threshold 0.262250 in range [0.259546, 0.264953]...	solution exists & found.
	Iteration #009: testing norm threshold 0.260898 in range [0.259546, 0.262250]...	no solution exists.
	Iteration #010: testing norm threshold 0.261574 in range [0.260898, 0.262250]...	no solution exists.
	Iteration #011: testing norm threshold 0.261912 in range [0.261574, 0.262250]...	no solution exists.
	Iteration #012: testing norm threshold 0.262081 in range [0.261912, 0.262250]...	solution exists & found.
	Iteration #013: testing norm threshold 0.261996 in range [0.261912, 0.262081]...	no solution exists.
	Iteration #014: testing norm threshold 0.262039 in range [0.261996, 0.262081]...	no solution exists.
	Iteration #015: testing norm threshold 0.262060 in range [0.262039, 0.262081]...	no solution exists.
	Iteration #016: testing norm threshold 0.262070 in range [0.262060, 0.262081]...	no solution exists.
	Iteration #017: testing norm threshold 0.262076 in range [0.262070, 0.262081]...	solution exists & found.


Factual sample: 		 {x0 : -3.2175092498734865, x1 : -3.321870392124516, y: False}
Nearest counterfactual sample:	 {x0 : 3.4886980974198685, x1 : -3.3217311028950562, y: True} (verified)
Minimum counterfactual distance: 0.262076
