

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


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 0.151540 in range [0.000000, 0.303079]...	no solution exists.
	Iteration #003: testing norm threshold 0.227309 in range [0.151540, 0.303079]...	no solution exists.
	Iteration #004: testing norm threshold 0.265194 in range [0.227309, 0.303079]...	no solution exists.
	Iteration #005: testing norm threshold 0.284137 in range [0.265194, 0.303079]...	no solution exists.
	Iteration #006: testing norm threshold 0.293608 in range [0.284137, 0.303079]...	solution exists & found.
	Iteration #007: testing norm threshold 0.288872 in range [0.284137, 0.293608]...	no solution exists.
	Iteration #008: testing norm threshold 0.291240 in range [0.288872, 0.293608]...	solution exists & found.
	Iteration #009: testing norm threshold 0.290056 in range [0.288872, 0.291240]...	solution exists & found.
	Iteration #010: testing norm threshold 0.289464 in range [0.288872, 0.290056]...	no solution exists.
	Iteration #011: testing norm threshold 0.289760 in range [0.289464, 0.290056]...	solution exists & found.
	Iteration #012: testing norm threshold 0.289612 in range [0.289464, 0.289760]...	no solution exists.
	Iteration #013: testing norm threshold 0.289686 in range [0.289612, 0.289760]...	no solution exists.
	Iteration #014: testing norm threshold 0.289723 in range [0.289686, 0.289760]...	solution exists & found.
	Iteration #015: testing norm threshold 0.289705 in range [0.289686, 0.289724]...	no solution exists.
	Iteration #016: testing norm threshold 0.289714 in range [0.289705, 0.289724]...	solution exists & found.


Factual sample: 		 {x0 : -3.062799115762531, x1 : -4.168193066833316, y: False}
Nearest counterfactual sample:	 {x0 : 4.349861371120554, x1 : -4.167341723893902, y: True} (verified)
Minimum counterfactual distance: 0.289714
