

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.153862 in range [0.000000, 0.307725]...	no solution exists.
	Iteration #003: testing norm threshold 0.230794 in range [0.153862, 0.307725]...	solution exists & found.
	Iteration #004: testing norm threshold 0.192328 in range [0.153862, 0.230794]...	no solution exists.
	Iteration #005: testing norm threshold 0.211561 in range [0.192328, 0.230794]...	no solution exists.
	Iteration #006: testing norm threshold 0.221177 in range [0.211561, 0.230794]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216369 in range [0.211561, 0.221178]...	no solution exists.
	Iteration #008: testing norm threshold 0.218773 in range [0.216369, 0.221178]...	no solution exists.
	Iteration #009: testing norm threshold 0.219975 in range [0.218773, 0.221178]...	solution exists & found.
	Iteration #010: testing norm threshold 0.219374 in range [0.218773, 0.219976]...	solution exists & found.
	Iteration #011: testing norm threshold 0.219074 in range [0.218773, 0.219375]...	no solution exists.
	Iteration #012: testing norm threshold 0.219224 in range [0.219074, 0.219375]...	no solution exists.
	Iteration #013: testing norm threshold 0.219299 in range [0.219224, 0.219375]...	solution exists & found.
	Iteration #014: testing norm threshold 0.219262 in range [0.219224, 0.219300]...	solution exists & found.
	Iteration #015: testing norm threshold 0.219243 in range [0.219224, 0.219262]...	no solution exists.
	Iteration #016: testing norm threshold 0.219253 in range [0.219243, 0.219262]...	solution exists & found.


Factual sample: 		 {x0 : -3.037119372116822, x1 : -3.021739819403785, y: False}
Nearest counterfactual sample:	 {x0 : 2.320085570993731, x1 : -3.0215846310390946, y: True} (verified)
Minimum counterfactual distance: 0.219253
