

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


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 0.154473 in range [0.000000, 0.308945]...	no solution exists.
	Iteration #003: testing norm threshold 0.231709 in range [0.154473, 0.308945]...	no solution exists.
	Iteration #004: testing norm threshold 0.270327 in range [0.231709, 0.308945]...	no solution exists.
	Iteration #005: testing norm threshold 0.289636 in range [0.270327, 0.308945]...	no solution exists.
	Iteration #006: testing norm threshold 0.299291 in range [0.289636, 0.308945]...	solution exists & found.
	Iteration #007: testing norm threshold 0.294463 in range [0.289636, 0.299291]...	no solution exists.
	Iteration #008: testing norm threshold 0.296877 in range [0.294463, 0.299291]...	solution exists & found.
	Iteration #009: testing norm threshold 0.295670 in range [0.294463, 0.296877]...	solution exists & found.
	Iteration #010: testing norm threshold 0.295067 in range [0.294463, 0.295670]...	no solution exists.
	Iteration #011: testing norm threshold 0.295369 in range [0.295067, 0.295670]...	no solution exists.
	Iteration #012: testing norm threshold 0.295520 in range [0.295369, 0.295670]...	no solution exists.
	Iteration #013: testing norm threshold 0.295595 in range [0.295520, 0.295670]...	solution exists & found.
	Iteration #014: testing norm threshold 0.295557 in range [0.295520, 0.295595]...	no solution exists.
	Iteration #015: testing norm threshold 0.295576 in range [0.295557, 0.295595]...	solution exists & found.
	Iteration #016: testing norm threshold 0.295567 in range [0.295557, 0.295576]...	no solution exists.


Factual sample: 		 {x0 : -3.282713533789132, x1 : -4.099644376670285, y: False}
Nearest counterfactual sample:	 {x0 : 4.28087974250963, x1 : -4.0996721552514686, y: True} (verified)
Minimum counterfactual distance: 0.295576
