

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


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 0.167700 in range [0.000000, 0.335401]...	no solution exists.
	Iteration #003: testing norm threshold 0.251550 in range [0.167700, 0.335401]...	no solution exists.
	Iteration #004: testing norm threshold 0.293476 in range [0.251550, 0.335401]...	solution exists & found.
	Iteration #005: testing norm threshold 0.272513 in range [0.251550, 0.293476]...	no solution exists.
	Iteration #006: testing norm threshold 0.282994 in range [0.272513, 0.293476]...	no solution exists.
	Iteration #007: testing norm threshold 0.288235 in range [0.282994, 0.293476]...	no solution exists.
	Iteration #008: testing norm threshold 0.290855 in range [0.288235, 0.293476]...	solution exists & found.
	Iteration #009: testing norm threshold 0.289545 in range [0.288235, 0.290855]...	no solution exists.
	Iteration #010: testing norm threshold 0.290200 in range [0.289545, 0.290855]...	solution exists & found.
	Iteration #011: testing norm threshold 0.289873 in range [0.289545, 0.290200]...	solution exists & found.
	Iteration #012: testing norm threshold 0.289709 in range [0.289545, 0.289873]...	solution exists & found.
	Iteration #013: testing norm threshold 0.289627 in range [0.289545, 0.289709]...	no solution exists.
	Iteration #014: testing norm threshold 0.289668 in range [0.289627, 0.289709]...	solution exists & found.
	Iteration #015: testing norm threshold 0.289648 in range [0.289627, 0.289668]...	solution exists & found.
	Iteration #016: testing norm threshold 0.289637 in range [0.289627, 0.289648]...	solution exists & found.
	Iteration #017: testing norm threshold 0.289632 in range [0.289627, 0.289638]...	no solution exists.


Factual sample: 		 {x0 : -4.332207216611808, x1 : -2.919784514558529, y: False}
Nearest counterfactual sample:	 {x0 : 3.0794213036310376, x1 : -2.919808477023974, y: True} (verified)
Minimum counterfactual distance: 0.289637
