

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


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 0.214264 in range [0.000000, 0.428528]...	no solution exists.
	Iteration #003: testing norm threshold 0.321396 in range [0.214264, 0.428528]...	no solution exists.
	Iteration #004: testing norm threshold 0.374962 in range [0.321396, 0.428528]...	no solution exists.
	Iteration #005: testing norm threshold 0.401745 in range [0.374962, 0.428528]...	solution exists & found.
	Iteration #006: testing norm threshold 0.388353 in range [0.374962, 0.401745]...	no solution exists.
	Iteration #007: testing norm threshold 0.395049 in range [0.388353, 0.401745]...	solution exists & found.
	Iteration #008: testing norm threshold 0.391701 in range [0.388353, 0.395049]...	solution exists & found.
	Iteration #009: testing norm threshold 0.390027 in range [0.388353, 0.391701]...	solution exists & found.
	Iteration #010: testing norm threshold 0.389190 in range [0.388353, 0.390027]...	solution exists & found.
	Iteration #011: testing norm threshold 0.388772 in range [0.388353, 0.389190]...	no solution exists.
	Iteration #012: testing norm threshold 0.388981 in range [0.388772, 0.389190]...	no solution exists.
	Iteration #013: testing norm threshold 0.389086 in range [0.388981, 0.389190]...	no solution exists.
	Iteration #014: testing norm threshold 0.389138 in range [0.389086, 0.389190]...	no solution exists.
	Iteration #015: testing norm threshold 0.389164 in range [0.389138, 0.389190]...	no solution exists.
	Iteration #016: testing norm threshold 0.389177 in range [0.389164, 0.389190]...	solution exists & found.
	Iteration #017: testing norm threshold 0.389171 in range [0.389164, 0.389177]...	no solution exists.


Factual sample: 		 {x0 : -4.034416768306115, x1 : -5.709085347410083, y: False}
Nearest counterfactual sample:	 {x0 : 5.875989957936026, x1 : -5.666134011941567, y: True} (verified)
Minimum counterfactual distance: 0.389177
