

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


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 0.160467 in range [0.000000, 0.320933]...	no solution exists.
	Iteration #003: testing norm threshold 0.240700 in range [0.160467, 0.320933]...	no solution exists.
	Iteration #004: testing norm threshold 0.280817 in range [0.240700, 0.320933]...	solution exists & found.
	Iteration #005: testing norm threshold 0.260758 in range [0.240700, 0.280817]...	no solution exists.
	Iteration #006: testing norm threshold 0.270788 in range [0.260758, 0.280817]...	no solution exists.
	Iteration #007: testing norm threshold 0.275802 in range [0.270788, 0.280817]...	no solution exists.
	Iteration #008: testing norm threshold 0.278309 in range [0.275802, 0.280817]...	solution exists & found.
	Iteration #009: testing norm threshold 0.277056 in range [0.275802, 0.278310]...	solution exists & found.
	Iteration #010: testing norm threshold 0.276429 in range [0.275802, 0.277056]...	no solution exists.
	Iteration #011: testing norm threshold 0.276742 in range [0.276429, 0.277056]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276586 in range [0.276429, 0.276743]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276507 in range [0.276429, 0.276586]...	no solution exists.
	Iteration #014: testing norm threshold 0.276547 in range [0.276507, 0.276586]...	no solution exists.
	Iteration #015: testing norm threshold 0.276566 in range [0.276547, 0.276586]...	solution exists & found.
	Iteration #016: testing norm threshold 0.276557 in range [0.276547, 0.276566]...	no solution exists.


Factual sample: 		 {x0 : -3.5940466585210893, x1 : -3.3162358592776715, y: False}
Nearest counterfactual sample:	 {x0 : 3.483125162722351, x1 : -3.3162358592776715, y: True} (verified)
Minimum counterfactual distance: 0.276566
