

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


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 0.167060 in range [0.000000, 0.334121]...	no solution exists.
	Iteration #003: testing norm threshold 0.250591 in range [0.167060, 0.334121]...	no solution exists.
	Iteration #004: testing norm threshold 0.292356 in range [0.250591, 0.334121]...	solution exists & found.
	Iteration #005: testing norm threshold 0.271395 in range [0.250591, 0.292200]...	no solution exists.
	Iteration #006: testing norm threshold 0.281798 in range [0.271395, 0.292200]...	solution exists & found.
	Iteration #007: testing norm threshold 0.276597 in range [0.271395, 0.281798]...	no solution exists.
	Iteration #008: testing norm threshold 0.279197 in range [0.276597, 0.281798]...	solution exists & found.
	Iteration #009: testing norm threshold 0.277897 in range [0.276597, 0.279197]...	no solution exists.
	Iteration #010: testing norm threshold 0.278547 in range [0.277897, 0.279197]...	no solution exists.
	Iteration #011: testing norm threshold 0.278872 in range [0.278547, 0.279197]...	solution exists & found.
	Iteration #012: testing norm threshold 0.278710 in range [0.278547, 0.278872]...	no solution exists.
	Iteration #013: testing norm threshold 0.278791 in range [0.278710, 0.278872]...	no solution exists.
	Iteration #014: testing norm threshold 0.278832 in range [0.278791, 0.278872]...	solution exists & found.
	Iteration #015: testing norm threshold 0.278811 in range [0.278791, 0.278832]...	no solution exists.
	Iteration #016: testing norm threshold 0.278822 in range [0.278811, 0.278832]...	no solution exists.
	Iteration #017: testing norm threshold 0.278827 in range [0.278822, 0.278832]...	no solution exists.


Factual sample: 		 {x0 : -2.8947299963870896, x1 : -4.059857104096388, y: False}
Nearest counterfactual sample:	 {x0 : 4.240411657580164, x1 : -4.059857104096388, y: True} (verified)
Minimum counterfactual distance: 0.278832
