

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


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 0.057111 in range [0.000000, 0.114221]...	no solution exists.
	Iteration #003: testing norm threshold 0.085666 in range [0.057111, 0.114221]...	no solution exists.
	Iteration #004: testing norm threshold 0.099944 in range [0.085666, 0.114221]...	solution exists & found.
	Iteration #005: testing norm threshold 0.092805 in range [0.085666, 0.099944]...	solution exists & found.
	Iteration #006: testing norm threshold 0.089236 in range [0.085666, 0.092805]...	no solution exists.
	Iteration #007: testing norm threshold 0.091020 in range [0.089236, 0.092805]...	solution exists & found.
	Iteration #008: testing norm threshold 0.090128 in range [0.089236, 0.091020]...	solution exists & found.
	Iteration #009: testing norm threshold 0.089682 in range [0.089236, 0.090128]...	no solution exists.
	Iteration #010: testing norm threshold 0.089905 in range [0.089682, 0.090128]...	solution exists & found.
	Iteration #011: testing norm threshold 0.089793 in range [0.089682, 0.089905]...	no solution exists.
	Iteration #012: testing norm threshold 0.089849 in range [0.089793, 0.089905]...	solution exists & found.
	Iteration #013: testing norm threshold 0.089821 in range [0.089793, 0.089849]...	solution exists & found.
	Iteration #014: testing norm threshold 0.089807 in range [0.089793, 0.089821]...	no solution exists.
	Iteration #015: testing norm threshold 0.089814 in range [0.089807, 0.089821]...	no solution exists.


Factual sample: 		 {x0 : -1.5922195252981588, x1 : -0.5892157884586449, y: False}
Nearest counterfactual sample:	 {x0 : 0.7057572430857845, x1 : -0.5887717165988885, y: True} (verified)
Minimum counterfactual distance: 0.089821
