

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


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 0.149030 in range [0.000000, 0.298059]...	no solution exists.
	Iteration #003: testing norm threshold 0.223545 in range [0.149030, 0.298059]...	no solution exists.
	Iteration #004: testing norm threshold 0.260802 in range [0.223545, 0.298059]...	solution exists & found.
	Iteration #005: testing norm threshold 0.242173 in range [0.223545, 0.260802]...	no solution exists.
	Iteration #006: testing norm threshold 0.251488 in range [0.242173, 0.260802]...	solution exists & found.
	Iteration #007: testing norm threshold 0.246831 in range [0.242173, 0.251488]...	solution exists & found.
	Iteration #008: testing norm threshold 0.244502 in range [0.242173, 0.246831]...	solution exists & found.
	Iteration #009: testing norm threshold 0.243338 in range [0.242173, 0.244502]...	solution exists & found.
	Iteration #010: testing norm threshold 0.242756 in range [0.242173, 0.243338]...	no solution exists.
	Iteration #011: testing norm threshold 0.243047 in range [0.242756, 0.243338]...	solution exists & found.
	Iteration #012: testing norm threshold 0.242901 in range [0.242756, 0.243047]...	solution exists & found.
	Iteration #013: testing norm threshold 0.242828 in range [0.242756, 0.242901]...	solution exists & found.
	Iteration #014: testing norm threshold 0.242792 in range [0.242756, 0.242828]...	solution exists & found.
	Iteration #015: testing norm threshold 0.242774 in range [0.242756, 0.242792]...	solution exists & found.
	Iteration #016: testing norm threshold 0.242765 in range [0.242756, 0.242774]...	no solution exists.


Factual sample: 		 {x0 : -3.2937357011550743, x1 : -2.7618107160615706, y: False}
Nearest counterfactual sample:	 {x0 : 2.917719246746358, x1 : -2.760934952223436, y: True} (verified)
Minimum counterfactual distance: 0.242774
