

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


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 0.204495 in range [0.000000, 0.408990]...	no solution exists.
	Iteration #003: testing norm threshold 0.306742 in range [0.204495, 0.408990]...	no solution exists.
	Iteration #004: testing norm threshold 0.357866 in range [0.306742, 0.408990]...	solution exists & found.
	Iteration #005: testing norm threshold 0.332304 in range [0.306742, 0.357866]...	no solution exists.
	Iteration #006: testing norm threshold 0.345085 in range [0.332304, 0.357866]...	no solution exists.
	Iteration #007: testing norm threshold 0.351476 in range [0.345085, 0.357866]...	no solution exists.
	Iteration #008: testing norm threshold 0.354671 in range [0.351476, 0.357866]...	solution exists & found.
	Iteration #009: testing norm threshold 0.353073 in range [0.351476, 0.354671]...	no solution exists.
	Iteration #010: testing norm threshold 0.353872 in range [0.353073, 0.354671]...	solution exists & found.
	Iteration #011: testing norm threshold 0.353473 in range [0.353073, 0.353872]...	no solution exists.
	Iteration #012: testing norm threshold 0.353672 in range [0.353473, 0.353872]...	no solution exists.
	Iteration #013: testing norm threshold 0.353772 in range [0.353672, 0.353872]...	solution exists & found.
	Iteration #014: testing norm threshold 0.353722 in range [0.353672, 0.353772]...	solution exists & found.
	Iteration #015: testing norm threshold 0.353698 in range [0.353672, 0.353723]...	solution exists & found.
	Iteration #016: testing norm threshold 0.353685 in range [0.353672, 0.353698]...	no solution exists.
	Iteration #017: testing norm threshold 0.353691 in range [0.353685, 0.353698]...	no solution exists.


Factual sample: 		 {x0 : -5.400574198494303, x1 : -3.480462784295506, y: False}
Nearest counterfactual sample:	 {x0 : 3.6502308359237037, x1 : -3.480365300099627, y: True} (verified)
Minimum counterfactual distance: 0.353698
